Hospital at Home Waiver Extension: Your 5-Year Technology Roadmap

by Ree AI Health Tech Med Tech

The House spending bill dropped a bombshell for digital health companies: a proposed 5-year extension for hospital-at-home waivers and 2-year extension for Medicare telehealth flexibilities.

Five years sounds like forever in tech time. But it’s actually a strategic planning nightmare.

Do you build for temporary policy, or bet everything on permanence?

I spent 2 years managing care for my terminally ill husband across 10 different doctors. Every month, he landed back in the hospital with high A1C, low hemoglobin, unbearable pain. If hospital-at-home programs had existed in 2016 with the right technology backing them, he could have avoided dozens of ER visits.

Hospital at home is the future. The question is, what should Series A, B and C health tech founders build in the next 24 months that creates value regardless of what Congress does in 2030?

This isn’t about policy speculation. It’s about strategic planning with incomplete information—which is exactly what building a health tech company requires.

Let’s break down the roadmap.

Contents

What the Proposed Funding Package Actually Changes

Source: Modern Healthcare

The proposed House spending bill extends two critical Medicare programs—but on very different timelines. Understanding these differences matters if you’re building technology in this space.

The 5-year hospital-at-home timeline explained

The proposed legislation would extend the hospital-at-home waiver through 2030. This isn’t just another short-term patch. Previous extensions gave health systems and tech companies 12-18 months of runway at best.

The current acute hospital care at home initiative lets Medicare pay for hospital-level services delivered in patients’ homes. Without the extension, this program expires in 2025. That’s not enough time to build, validate, and scale meaningful technology infrastructure.

Five years gives you real planning horizon. You can make legitimate platform investments. You can hire engineering teams. You can sign multi-year contracts with health systems.

But—and this is critical—5 years isn’t permanent. It’s a policy experiment with a longer fuse.

What’s still uncertain despite the extension

Even with a 5-year extension, huge questions remain unanswered. CMS hasn’t committed to specific reimbursement rates beyond the waiver period. Will hospital-at-home payments match facility-based acute care, or will they drop to home health rates?

State regulations vary wildly. Some states embrace home-based acute care. Others have licensing requirements that make it nearly impossible. Federal waivers don’t override state-level barriers.

Commercial payers watch Medicare but don’t automatically follow. Your hospital-at-home technology needs Medicare coverage to scale, but commercial adoption determines whether you build a sustainable business.

Technology requirements could shift too. CMS might mandate specific monitoring capabilities, interoperability standards, or quality reporting metrics that don’t exist yet.

Planning for 5 years means planning for uncertainty, not betting on stability.

Most Founders Are Asking the Wrong Question

When the House bill news broke, founder group chats exploded with one question: “Does this mean hospital-at-home is permanent?” That’s the wrong question. It reveals a misunderstanding of how health tech businesses actually succeed or fail.

“Is this permanent?” misses the strategic point

Policy permanence has never guaranteed health tech success. Remote patient monitoring has had Medicare coverage since 2019. Chronic care management codes have existed for years. Both have clear reimbursement pathways. Both have policy stability.

Yet most RPM companies struggle to achieve profitability. Many CCM platforms shut down despite favorable policy.

The real risk isn’t policy reversal. It’s building something nobody needs or can’t afford to operate. Investors price in regulatory risk and execution challenges unique to healthcare.

Your business model needs to create value across multiple scenarios. If hospital-at-home waivers expire in 2030, can your technology pivot to post-acute care? Skilled nursing facilities? Palliative care at home? If you’ve built exclusively for one reimbursement code, you’ve built a fragile company.

The trap of building exclusively for waivers

Female doctor waving to female patient on Zoom

Remember the telehealth boom of 2020-2021? Some telehealth companies that scaled to thousands of employees during COVID laid off half their staff by 2023.

They weren’t bad companies. They built for a policy moment, not a durable market need.

VCs learned an expensive lesson: waiver-dependent revenue is risky revenue. When I talk to Series B investors now, they ask pointed questions. What percentage of your revenue requires temporary policy? If that policy changes, what’s your Plan B? Can you operate profitably under traditional Medicare rates?

If you can’t answer those questions convincingly, your valuation suffers—even if current policy looks favorable.

What “5 years” really means for your product roadmap

Five years is approximately two technology development cycles for complex healthcare platforms. You can ship an MVP, gather real-world evidence, iterate based on feedback, and launch a mature v2.0 product in that timeframe.

But 5 years isn’t enough time to build everything. You need to prioritize ruthlessly.

Your 24-month window is critical. This is when you validate product-market fit, prove unit economics, and establish your competitive moat. If you can’t demonstrate margin-positive cohorts by month 24, the next 3 years won’t save you.

Years 3 to 5 should assume policy uncertainty, not stability. Build optionality into your architecture. Make sure your platform can serve multiple care settings. Design your data infrastructure to support different payment models.

One scenario planning exercise: map out what your business looks like if hospital-at-home waivers expire in 2030 versus extend another 5 years vs. become permanent. If all three scenarios require fundamentally different strategies, you’re not building a durable company. You’re building a policy bet.

Your 24-Month Minimum Viable Stack

The next 2 years determine everything. You need to build technology that proves value quickly while laying foundation for longer-term expansion. Here’s where to focus your engineering resources and capital.

Core infrastructure that works across reimbursement models

Start with the basics that every home-based care model needs, regardless of how Medicare pays for it.

Remote patient monitoring devices need to integrate seamlessly with your platform. But don’t overbuild here. Start with FDA-cleared devices for vital signs (blood pressure, pulse ox, weight, glucose). Specialty monitoring for rare conditions can wait until you’ve proven your core model works.

Virtual triage and clinical communication platforms matter more than most founders realize. When a patient’s oxygen saturation drops at 3 a.m., someone needs to decide: send an ambulance, dispatch a nurse, or coach the patient through the moment remotely? That decision-making capability is what health systems pay for, not just the device data.

Care orchestration is the unsexy backbone nobody wants to build but everyone needs. Who schedules the nurse visit? Who orders medical supplies? Who coordinates with the patient’s primary care doctor? These back-office functions represent over half of the $1 trillion in annual U.S. healthcare waste. Automating them creates immediate ROI.

EHR integration isn’t optional. Payers demand it. Health systems require it. Your platform needs to pull patient data from Epic, Cerner, and other major EHRs, then push back visit notes, monitoring data, and care plans. Budget 20 to 30% of your engineering resources just for integration work.

Where to invest in AI right now

Source: Health Care Code

Ambient clinical intelligence (ACI) has reached near-universal adoption: 92% of health systems are piloting or deploying AI scribes. These tools improve documentation accuracy, leading to 10 to 15% revenue capture improvement through better coding and billing.

For hospital-at-home programs, this matters enormously. Nurses and paramedics doing home visits often struggle with documentation. They’re managing complex patients in unpredictable environments. AI that turns their verbal notes into structured clinical documentation saves 30 to 45 minutes per visit.

Predictive analytics should focus on preventing acute episodes that require hospitalization. Machine learning models can analyze vital sign trends, medication adherence patterns, and social determinants data to flag patients at risk of decompensation. One health system using predictive monitoring reduced readmissions by 23% in their hospital-at-home cohort—that’s the difference between a margin-positive program and one that loses money on every patient.

Don’t sleep on care coordination automation. If family caregivers spend 15-20 hours per week on caregiving tasks (as CareYaya Health Technologies data shows), your AI should reduce that burden. Automated medication reminders, appointment scheduling, and supply ordering aren’t flashy features, but they’re what caregivers desperately need.

The unsexy AI that saves money: Back-office automation in revenue cycle management, prior authorization, and claims integrity. These AI applications can reach 70-80% profit margins and generate $500K-$1M in annual recurring revenue per full-time employee. That cash flow funds your clinical AI development.

The Margin Math That Actually Matters

Most hospital-at-home programs lose money. Your technology needs to change that equation, or you don’t have a sustainable business.

Why most hospital-at-home programs lose money

Medicare pays $1,000 to $1,500 per day for hospital-at-home. Most programs spend $1,200 to $1,600 per patient daily on nurse visits, supplies, coordination, and tech. They’re underwater from Day 1.

The hidden costs kill you. Logistics and care orchestration require significant labor. Someone schedules visits, manages the supply chain, and coordinates with the patient’s other providers. Traditional staffing models don’t scale—you can’t apply facility-based nursing ratios to home care and expect it to work economically.

Technology that creates work instead of reducing it makes the problem worse. I’ve seen hospital-at-home platforms that require nurses to log into five different systems per visit. The documentation burden exceeds what they’d do in a hospital setting.

How AI makes care at home programs profitable

Revenue cycle optimization through better documentation can improve revenue capture by 10-15%. When a nurse describes a patient’s condition verbally and AI generates accurate, complete clinical notes with proper billing codes, you get paid more for the same work.

Source: MDhelpTEK

Reduced readmissions drive CMS quality bonuses. The hospital-at-home model already shows lower readmission rates than traditional acute care—adding predictive monitoring amplifies that advantage. Every readmission you prevent saves $10,000 to $15,000 in costs and protects against CMS penalties.

Labor cost reduction matters most. AI triage can cut nurse workload by 40%+ in pilot programs. Instead of nurses manually reviewing monitoring data for every patient, AI flags only the patients who need clinical attention. A nurse who previously managed 5-6 hospital-at-home patients can now manage 8 to 10.

The “unsexy” AI that CFOs love but VCs overlook: billing, coding, claims integrity. Administrative AI can reduce operational costs by 30-40%. That’s real margin improvement hitting your income statement immediately.

Proving ROI to your board in the next 6 months

Source: ScribeMD

Your board doesn’t care about utilization growth if you’re losing money on every patient. They care about these metrics:

  • Cost per episode: What does it actually cost you to manage one hospital-at-home patient from admission to discharge? Track this ruthlessly. Break it down by component: labor, supplies, technology, overhead.
  • Readmission rates: Hospital-at-home programs typically achieve 8 to 12% 30-day readmission rates versus 15 to 18% for traditional hospital care. If your program doesn’t beat facility-based benchmarks, you have a quality problem.
  • Patient satisfaction: CMS increasingly ties reimbursement to patient experience scores. Hospital-at-home programs score 15-20 points higher on patient satisfaction versus facility care. That’s your competitive advantage.

Structure pilot programs that generate defensible data. Work with 2 to 3 health systems willing to share financial and outcomes data transparently. You need to prove your technology improves margins, not just clinical outcomes.

The difference between utilization metrics and profitability metrics: lots of patients using your platform means nothing if each one loses money. Focus on contribution margin per patient. When does that number go positive? What’s the path to 40 to 50% gross margins?

The 3 to 5 Year Platform Expansion Strategy

Once you’ve proven your core model works and generates positive margins, you can think bigger. The next phase is about expanding beyond your initial use case.

From point solution to platform

Bessemer’s State of Health AI report describes “supernova” companies that achieve 6-10x growth trajectories by expanding from single point solutions into comprehensive platforms. Ambient scribes became full clinical documentation suites. Prior authorization tools became complete utilization management platforms.

The pattern:

  1. Start with a painful, well-defined problem.
  2. Solve it better than anyone else.
  3. Expand into adjacent workflows that touch the same users.

For hospital-at-home technology, that might mean starting with post-surgical patients recovering at home. Prove you can manage that population safely and profitably. Then expand to heart failure management, COPD exacerbations, cellulitis treatment, chemotherapy administration.

Each expansion requires clinical validation and new reimbursement navigation. But your core technology infrastructure of monitoring, triage, care coordination, documentation stays largely the same.

Value-based care integration timeline

Source: Activated Insights

Hospital-at-home is a wedge into value-based care contracts, not just fee-for-service reimbursement. Accountable Care Organizations (ACOs) and Medicare Advantage plans care deeply about reducing avoidable hospitalizations. If your platform keeps patients out of expensive facility-based care, ACOs will pay for it.

But commercial adoption lags Medicare by 18 to 24 months historically. Don’t expect widespread MA plan adoption until 2027 to 2028, even with favorable hospital-at-home policy.

Self-insured employers represent a faster path to commercial revenue. Large employers pay directly for employee healthcare. When they see data showing hospital-at-home reduces costs by 30-40% versus facility admissions, they’ll write checks. Companies like Cubby, who secured $63 million in Series A funding led by Guggenheim Partners, are targeting this employer market specifically for in-home care solutions.

To position for risk-bearing contracts in years 3 to 5, you need data infrastructure now. Start collecting outcomes data, cost data, and patient experience data from day one. Value-based contracts require you to prove your intervention changes total cost of care—not just that patients like your service.

Decision Framework for Health Tech Boards

If you’re a founder presenting hospital-at-home strategy to your board, or a board member evaluating your company’s approach, here are the right questions to ask.

5 questions your board should ask right now

  1. What percentage of our revenue depends on waiver-specific reimbursement? If it’s above 50%, you have concentration risk. Diversify your payer mix and care settings.
  2. If the waiver expires in 5 years, what’s our Plan B business model? You should have a concrete answer. Can you pivot to post-acute care? Palliative care? Chronic disease management? If the answer is “we’re screwed without waivers,” you’re not building a durable company.
  3. Are we building technology that creates value in multiple care settings? The best health tech platforms work across hospital-at-home, skilled nursing, home health, and ambulatory settings. Flexibility equals durability.
  4. How quickly can we prove margin-positive unit economics? If you can’t show positive contribution margin by month 24, extending the timeline to month 36 won’t magically fix the problem. You have a business model issue, not a scale issue.
  5. What’s our competitive moat if 10 other startups get this same 5-year runway? Policy tailwinds create competition. What’s your defensible advantage? Clinical outcomes data? Payer relationships? Technology that’s genuinely better, not just first to market?

Investor perspective on policy-dependent businesses

Source: WallStreetMojo

VCs underwrite regulatory risk by discounting valuations and requiring faster paths to profitability. A pure software company might get 7-10 years to reach profitability. A health tech company with policy dependency gets 3-5 years maximum.

The valuation discount for waiver-dependent revenue can be brutal. Health tech companies trade at 10-20% below cloud software comparables—and that’s before factoring in temporary policy risk.

Some investors love policy tailwinds. They want to ride the wave while it’s building. Others avoid policy-dependent businesses entirely, no matter how attractive the market opportunity looks.

Position your pitch carefully. Are you policy-enabled (taking advantage of favorable reimbursement to scale faster) or policy-dependent (can’t exist without specific waivers)? The former gets funded at reasonable valuations. The latter struggles.

What I Wish Existed When I Was a Caregiver

Let me bring this back to why any of this matters. The technology decisions health tech founders make over the next 24 months will determine what tools families like mine have access to in 2026 and beyond.

The gap between technology capability and real-world reliability

Source: Aptiva Medical

My husband’s Dexcom continuous glucose monitor worked beautifully—when it synced properly. The app sent alerts to my phone whenever his blood sugar went dangerously high or low. That device probably saved his life multiple times.

But it only worked because the technology was reliable:

  • The sensor stayed attached.
  • The Bluetooth connection held.
  • The app didn’t crash.

I’ve seen hospital-at-home platforms that look impressive in demos but break under real caregiver stress. The dashboard shows beautiful data visualizations—but requires three different logins to access. The monitoring devices pair easily in the clinic—but fail when WiFi is weak in rural areas.

Care coordination platforms often assume 24/7 nurse availability. They don’t account for the reality that small hospital-at-home programs can’t staff round-the-clock coverage.

Build for the worst-case scenario, not the ideal one.

Building for the sandwich generation managing multiple conditions

Source: Graying with Grace

My husband had 10 doctors. Ten! A primary care physician, nephrologist, endocrinologist, oncologist, cardiologist, and five other specialists. Your platform needs the capability to handle that complexity.

Nobody coordinated between them. I was the coordination layer. I maintained a spreadsheet with all his medications—drug names, dosages, prescribing doctors, reasons for taking them, refill schedules. The nurses loved my spreadsheet because their systems couldn’t give them the same view.

Insurance coordination created endless frustration. My employer’s insurance was primary while Medicare was secondary. Every billing department called me multiple times to confirm this. I explained the same thing to the hospital billing office, the lab, the imaging center, the pharmacy.

Your hospital-at-home platform should automate this nightmare. Pull medication lists from multiple prescribers. Flag potential drug interactions. Coordinate insurance claims automatically. Don’t make family caregivers become project managers.

Why I care about this 5-year window

Families like mine in 2026 deserve better than what I had in 2016.

The technology exists now, and the clinical models work. The question is implementation and sustainability.

Health tech founders have a moral obligation beyond shareholder returns. Yes, you need to build a profitable business and generate returns for your investors. But you’re also building tools that will serve people during the most vulnerable moments of their lives.

This isn’t about making a quick buck off temporary Medicare waivers then exiting before they expire. It’s about building something that lasts. Something that works. Something that actually helps families manage impossible complexity.

When you’re making technology decisions over the next 24 months, remember: real people will rely on what you build. Build something worthy of that trust.

The Path Forward

The proposed 5-year extension for hospital-at-home waivers isn’t a guarantee. It’s a window.

What you build in the next 24 months determines whether your company survives beyond 2030—regardless of what happens with federal policy.

The smartest founders build technology that creates value across multiple reimbursement scenarios. Focus on margin-positive unit economics. Solve real problems for real families—the kind of problems I faced as a caregiver managing impossible complexity across disconnected systems.

  • Start with the unsexy AI that makes programs profitable: revenue cycle management, clinical documentation, coding accuracy. These aren’t sexy pitch deck slides, but they generate cash flow.
  • Build your minimum viable stack around care orchestration and monitoring that works when human resources are constrained. Health systems can’t hire infinite nurses. Your technology needs to make existing staff dramatically more productive.
  • Structure pilot programs that generate defensible ROI data within 6 months. You need proof points for your next fundraise and for health system expansion.
  • Stress-test your business model. If hospital-at-home waivers expire in 2030, what’s Plan B? If you don’t have a good answer, you’re building on quicksand.

Five years is enough time to build something durable if you start with the right foundation. It’s not nearly enough time if you’re building for a policy moment instead of a market need.

The families who need hospital-at-home can’t wait for perfect policy clarity. They need technology that works today and keeps working tomorrow. So build for that reality.

Want to discuss your hospital-at-home technology strategy? Connect with me on LinkedIn or explore more health tech analysis at reewrites.com.

References

Bessemer Venture Partners. (2026). State of Health AI 2026. Retrieved from https://www.bvp.com/atlas/state-of-health-ai-2026

Fox, A. (2026). 2026 House spending bill proposes 2-year telehealth and 5-year hospital-at-home waiver extensions. Healthcare IT News. Retrieved from https://www.healthcareitnews.com/news/2026-house-spending-bill-proposes-2-year-telehealth-and-5-year-hospital-home-waiver-extensions

Gardner, S. & Hooper, K. (2026). Health tech panel to reboot after a long break. Politico Pulse. Retrieved from https://www.politico.com/newsletters/politico-pulse/2026/01/21/health-tech-panel-to-reboot-after-a-long-break-00737790

Gonzales, M. (2026). Proposed Funding Package Would Extend Hospital-at-Home Program, Medicare Telehealth Flexibilities. Home Health Care News. Retrieved from https://homehealthcarenews.com/2026/01/proposed-funding-package-would-extend-hospital-at-home-program-medicare-telehealth-flexibilities/

Stock Titan. (2026). Cubby secures $63 million in Series A funding round led by Growth. Retrieved from https://www.stocktitan.net/news/GS/cubby-secures-63-million-in-series-a-funding-round-led-by-growth-ikgye2ab40md.html

Zanchi, M. G. (2026). AI Journal. The “unsexy” revolution within healthcare AI. Retrieved from https://aijourn.com/the-unsexy-revolution-within-healthcare-ai/

The Uncomfortable Truth About Patient-Centered Design in Health Tech that I Learned at CES 2026

The Uncomfortable Truth About Patient-Centered Design in Health Tech that I Learned at CES 2026

by Ree AI Caregiving Health Tech Med Tech UX

I went to the CES 2026’s Digital Health Summit in my new city of Las Vegas, and yes, I oohed and ahhed at the dancing robots and awesome cars and vehicles on display.

But this isn’t your usual “look at this shiny new device” content you’ll see everywhere else about CES. I’m going to share the hard truths that came directly from patients, caregivers, and the organizations who represent them.

If you’re building healthtech, this is what your users are actually saying about what works, what doesn’t, and what they desperately need you to stop doing. Let’s go!

Contents

Left to right: Jennifer Goldsack, Randall Rutta, Alice Pomponio, Jake Heller, and Yuge Xiao

Product Design Failures Nobody Talks About

Your product design isn’t neutral

Randy Rutta from The National Health Council shared a couple of stories that should make every product team pause:

  1. A major pharma company launched inhalable insulin with all the confidence in the world. The technology was solid, and the marketing was ready, but it flopped completely because they never asked patients if they’d actually use it.

    It turns out that people managing diabetes need precision. Something sprayed into your lungs doesn’t feel precise, even if the science says it is. Plus, patients hated the inhaler design itself. Simple focus groups made of their target user base would have caught both issues before millions were spent on development and launch.
  1. Another story hit even harder for me as a Black woman. Randy said a Black woman refused to wear a health monitoring device because it was a bulky black device on her waistband that made her afraid of being stopped by police. Her solution was painfully simple: “If it came in pink, it would have changed everything for me.”

This isn’t about inclusion for inclusion’s sake. It’s about building products that don’t put users at risk. Product design is literally life-or-death for some users.

Randy also mentioned patients with eczema and psoriasis who can’t wear certain devices because they’re too sensitive to materials touching their skin. That’s a deal-breaker for entire patient populations—a product design consideration that could eliminate your addressable market if you ignore it.

Engage patients early or pay later

Alice Pomponio from American Cancer Society’s venture capital arm sees this pattern constantly. You have to think beyond product features to systemic change. She asks founders: “What is not only the short-term product development strategy, but also the longer-term healthcare systemic step change you’re planning to deliver?”

Get patient voices around your cap table. Diversify your board perspective. Even if you have a great management team with good intentions, without a board that supports patient-centered decisions, you’ll lose the opportunity to make cost-effective strategic choices upfront.

It’s cheaper to fix problems during design than during M&A negotiations when your product strategy determines your acquisition price.

Women’s Health Tech Is Broken

Left to right: Sheena Franklin and Maya Friedman

Women are done waiting for tech that works for THEM

Sheena Franklin of K’ept Health interviewed Maya Friedman from Tidepool about how healthtech uses males as the default for AI.

Maya dropped a statistic that should embarrass the entire diabetes tech industry: 70% of women with type 1 diabetes experience insulin sensitivity changes around their menstrual cycles, but there are NO clinical guidelines or algorithms designed for this. Nothing. So women have to manually adjust their diabetes management systems every single month because the technology assumes their bodies work like men’s bodies.

“We need to stop thinking about women’s health as reproductive health. 𝘌𝘷𝘦𝘳𝘺 𝘴𝘪𝘯𝘨𝘭𝘦 𝘩𝘦𝘢𝘭𝘵𝘩𝘤𝘢𝘳𝘦 𝘤𝘰𝘮𝘱𝘢𝘯𝘺 𝘯𝘦𝘦𝘥𝘴 𝘪𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦 𝘧𝘰𝘳 𝘥𝘢𝘵𝘢 𝘤𝘰𝘭𝘭𝘦𝘤𝘵𝘪𝘰𝘯 𝘢𝘵 𝘵𝘩𝘦 𝘪𝘯𝘵𝘦𝘳𝘴𝘦𝘤𝘵𝘪𝘰𝘯 𝘰𝘧 𝘸𝘰𝘮𝘦𝘯’𝘴 𝘩𝘦𝘢𝘭𝘵𝘩.”

The data gap is massive

Maya Friedman

Maya referenced a project called “The Library of Missing Data Sets,” an art exhibition of hundreds of empty filing cabinets labeled with data sets that don’t exist across different industries. When you look at what’s missing, you see where biases already exist in healthcare.

As AI becomes more prevalent, these data gaps will replicate the same biases we’re trying to fix. That’s why every healthcare technology company needs infrastructure for data collection at the intersection of women’s health. Not as a “nice to have.” As a business requirement.

Tidepool partnered with Oura to build the largest longitudinal data set of diabetes device data combined with biometric data. They’re distributing Oura rings to thousands of users already on the Tidepool platform. The data will include:

  • Activity tracking
  • Sleep patterns
  • Menstrual cycle data
  • Diabetes device data from the same individuals
  • Health surveys for contextual data

This is what infrastructure looks like when you take women’s health seriously.

Algorithms need to be smarter

Maya’s immediate priority: building algorithms that aren’t “cycle agnostic.” She wants systems that account for 30-day hormonal patterns, not just 72-hour learning horizons.

“Women are not just tiny men. We have different needs. We need to display different data. We need algorithms that are potentially different for women versus men.” – Maya Friedman, Tidepool

And yes, that means maintaining multiple versions of products.

Yes, it’s more expensive. But it’s also addressing the actual market need instead of pretending half the population doesn’t exist.

It’s not just about menstrual cycles

Maya’s longer-term vision includes AI models that are dynamic across different reproductive milestones. What does an algorithm look like for someone in perimenopause who isn’t having regular periods? What are the learning horizons for that system?

The real moonshot? A fully closed-loop system that accounts for polycystic ovarian syndrome (PCOS), type 1 diabetes, and menstrual cycles without requiring patient interaction at all.

Women need tech that doesn’t make them choose between their health needs and their time.

Accessibility Creates Market Opportunities, Not Limitations

Left to right: Steve Ewell and Peter Kaldes

Peter Kaldes, CEO of Next50 Foundation, delivered a message that should change how every product designer thinks about their addressable market: “Guess what? You still have a point of view over 50. You still have buying power at 60. You can still use your iPhone at 70, and you need really great technology in the 80s and your 90s.”

Most product designers are under 35. Most assume older adults are technology Luddites. The data proves this assumption is completely wrong.

The buying power is enormous

The over-50 population has more buying power than younger generations. Yet, healthtech companies consistently ignore this market or, worse, design products that stigmatize older users. Peter’s frustration was that was crystal-clear:

“I’ve had conversations with some companies like, where are we going to find [older users to test with]? Well, why don’t you try, first of all, start with your company, and second of all, why don’t you start partnering with community organizations that have access to all these people. This is not hard. It’s just getting people out of their comfort zone.” – Peter Kaldes

Dual generational use is smart design

Peter loves technologies that serve multiple generations. If it’s good for older adults, it’s good for everyone. Examples he highlighted:

  • Hearing technology embedded in glasses to reduce stigma around hearing aids
  • AI tools that coordinate healthcare appointments along with transportation and nearby housing options
  • Financial fraud protection that helps older adults without treating them like children
Left to right: Meg Barron, Dominic King and Myechia Minter-Jordan

AARP CEO Myechia Minter-Jordan shared specific examples of products in AARP’s booth that reduce stigma:

  • Sneakers designed to prevent falls that look like regular athletic shoes (they appear to have laces, though velcro is involved)
  • Glasses with closed captions for people with hearing impairments
  • Glasses with hearing aids built into the stems (partnered with Sadika)

“We want to ensure tools don’t further stigmatize us but allow us to live with dignity and age well.” – Myechia Minter-Jordan

The accessibility-to-mainstream pipeline

Left to right: Natalie Zundel, Griffen Stapp, Ryan Easterly and Jack Walters

Griffen Stapp from Ability Central pointed out something product teams consistently miss: Products designed FOR the disability community often get adopted by everyone. But products made for the general population rarely get adapted later.

Examples are everywhere. Curb cuts help wheelchair users, but they also help parents with strollers, delivery workers with hand trucks, and travelers with rolling luggage. Closed captioning helps deaf users, but also people watching videos in noisy environments or practicing language skills.

Build accessibility in from day one, or you’re leaving both impact and revenue on the table.

Adaptable frameworks beat one-size-fits-all

Jack Walters, co-founder of HapWare (winner of the CTA Foundation Innovation Challenge), explained their approach: “Not everyone’s going to have similar care or similar treatments, so you need to be able to adapt to all those different types of needs and necessities in the community.”

They involve the disability community in design from the start, knowing common pain points and anticipating when certain issues might come up. That’s how you build solutions that actually solve problems instead of creating new friction.

Continuous Monitoring Changes Patient Behavior (Without Doctor Visits)

Left to right: Ami Bhatt, Tom Hale, Lucienne Ide and Jack Leach

Tom Hale, CEO of Oura, explained why continuous data matters more than episodic measurements: “Normal isn’t 98.6 degrees. Normal is what’s normal for you, and being able to see that deviation from the baseline allows us to make predictions.”

Oura’s “symptom radar” looks at temperature, heart rate, and other biometrics to predict when you might be getting sick—days before symptoms appear. That’s the intervention window where you can actually change behavior and potentially avoid getting sick entirely.

Patients change behavior when they see their own data

Jake Leach from Dexcom shared a pivotal study from the early days of continuous glucose monitoring. For years, the standard of care for diabetes was finger pricks, which are episodic, painful, and limited.

They ran a study where they put sensors on patients continuously measuring glucose, but they didn’t show patients the data for a week. They just collected baseline information. Then they turned on the display.

Within a day, people started making behavior changes based solely on their own knowledge of their disease and this information they’d never had before. No doctor intervention. No coaching. Just visibility into their own patterns.

The infrastructure problem doctors face

Source: Somebody Digital

Doctors are drowning in data with no infrastructure to process it.

Lucienne Ide from Rimidi left clinical medicine because she was disappointed by how electronic health records (EHRs) were implemented. She expected digital records with clinical decision support layered on top. Instead, she got data dumps with no insights.

As she put it: “I don’t know a single doctor who’s saying, ‘If only I had more data, I would be a better clinician.'”

What doctors need is not more data, but clinical decision support that turns data into actionable insights.

Tom from Oura said one doctor told him: “I want the Oura ring to give me information as if it was written by another doctor. Basically, a consult. Here’s what I know about this patient in clinical terms, and this is the information you need. Everything else, don’t give it to me.”

That’s the responsibility of device companies: Don’t just collect data. Provide insights that save clinicians time and help them make better decisions faster.

Prevention requires behavior change at scale

The consensus was clear: behavior change is what moves the needle on long-term health outcomes. Not medications or procedures. Sleep well, eat well, manage stress, and stay balanced.

Healthcare has failed at behavior change for 75 years because it requires data, user experience (UX), engagement, education, and reinforcement. Doctors don’t have time for that level of ongoing support. Educational content alone doesn’t work because people don’t retain or apply it without reinforcement.

But continuous monitoring combined with AI and smartphone engagement is the combination that finally makes prevention scalable.

As Ami Bhatt from the American College of Cardiology noted, “What has my attention besides my kids? My phone. And I’m looking at that, and that’s the power.”

AI That Actually Helps, Not Hypes

Source: Oxio Health

Dominic King from Microsoft AI cut through all the conference noise:

“The biggest challenge in healthcare today is the mismatch between global demand and constrained supply.” – Dominic King

AI isn’t replacing doctors. It’s closing the gap between what people need and what the healthcare system can deliver.

The future is proactive health companions

Chatbot woman and robot conversation

5 years ago, AI was good at classification and spotting single problems. Now we have thinking and reasoning models that can pass the same exams physicians take, often at higher rates than human test-takers.

Dominic’s vision for 5 years from now is “A health companion that you wake up and it’s sitting in the background, doing the hard work for you and being more proactive. At the moment, everything is still very reactive.”

This means:

  • Identifying sleep issues before they compound
  • Flagging medication adherence problems
  • Coordinating complex care across multiple providers
  • Helping people navigate fragmented healthcare systems
  • Providing specialized opinions even in rural areas

The caregiver opportunity is massive

Myechia shared that one in four Americans are caregivers right now (63 million Americans). If you’re not currently a caregiver or need care yourself, one day you will be.

AI tools can help caregivers:

  • Communicate with provider teams more effectively
  • Ensure loved ones are safe at home
  • Coordinate the “universe of appointments” that comes with aging
  • Reduce information asymmetry (where only people with medical training understand how systems work)

The key is addressing privacy and data concerns upfront, not as barriers to innovation but as facilitators of trust.

The co-design imperative

Dominic emphasized that co-design is critically important. Building WITH users instead of just FOR them avoids the problems we see when products hit the real world.

At Microsoft, they’re seeing 50 to 60 million health questions a day through Copilot. That’s enormous insight into what people actually need help with.

But as he noted, “A lot of founders are young. They don’t have a good idea of what it’s like to be elderly or sick.”

That’s why bringing your end users (patients, clinicians, caregivers) into the development process isn’t optional. It’s the difference between building something that works versus something that sits unused.

The Digital Equity Gap Nobody’s Solving

Left to right: Steve Ewell and Peter Kaldes

Steve Ewell, Executive Director of CTA Foundation, laid out what he calls “the three legs of the stool” for digital equity:

“You need the hardware, you need the broadband access, and then you need the support and education to go along with it. And so often that last one is left off.” – Steve Ewell

That last leg of support and education is where healthcare technology adoption actually lives or dies.

Tech alone isn’t enough

Peter Kaldes from Next50 Foundation added context that should worry anyone in healthtech: nonprofits doing the heavy lifting of digital equity training are facing unprecedented cuts to federal grants.

As Peter noted: “I love going to an Apple Store and seeing these free classes, but you have to find an Apple Store which are not in the neighborhoods that need the help the most.”

The communities that need technology training the most are the least likely to have access to it. And the organizations that bridge that gap are losing funding.

The clinical trial proof

Source: Anatomy.app

Dexcom is running large clinical trials where half the participants come from underserved communities specifically to prove the technology works equally well regardless of service level. They want hard data showing these tools aren’t just for people with resources.

Rimidi partnered with community health centers during COVID to monitor high-risk pregnancies remotely using blood pressure monitors and texting protocols. They tracked engagement by ethnicity and primary language.

There was no difference in engagement. Everyone has a smartphone in that demographic (women of childbearing age), and everyone can text.

This proves that engagement isn’t the problem. The problem is getting access to the infrastructure and training on how to use it.

Mission-aligned capital as the solution

Source: Next50 Foundation

Next50 Foundation is one of the first private foundations to invest 100% of their endowment in aging-focused companies and infrastructure. Not just grant-making, but the other 95% of their capital.

They created an aging investment framework with JP Morgan that looks at four themes:

  1. Health
  2. Social connectivity (including technology)
  3. Economic opportunity (workforce and financial vehicles for longer lives)
  4. Built environment (mobility, housing, accessibility)

As of December, about 75% of their endowment was invested in this framework, and Peter offered a challenge to the investment community:

“What if capital actually had values? Climate investors have successfully made money and helped power cleaner energy. The same can be true for aging. How can we possibly ignore that the globe is aging?” – Peter Kaldes

They also launched a new nonprofit called Leverage focused on advancing policies in Colorado to make aging more affordable—housing, living wages, caregiving resources.

Because you can’t solve systemic problems with technology alone. You need policy change too.

Patient Voices Need to Drive Startup Decisions

Jake Heller from Citizen Health is building AI tools that help patients with rare diseases query their own medical records and advocate for themselves at doctor’s appointments.

His philosophy: “Putting patients in the driver’s seat is one of the biggest opportunities we have right now.”

The journaling and documentation problem

Doctor and patient POCs

Sometimes when people with rare or complex diseases go to appointments and talk about their concerns, doctors don’t believe them. These patients need help translating their own experience in a way that clinicians will take seriously.

Citizen Health helps patients journal their symptoms and experiences, then presents that data in clinical terms. “Here’s a video of my daughter having this specific type of seizure. Here are the journal entries. Here’s how this has changed over time.”

That’s advocacy powered by data and AI.

The time-to-diagnosis crisis

Randy pointed out that if you have an autoimmune disease, it could be 3, 5, or even 7 years before diagnosis. For healthcare innovation, it can take 7 years just to move something through an FDA process.

Those time frames compound into suffering that’s completely preventable if we had better systems and patient input earlier in development cycles.

Patient organizations are ready to help. They’re trusted by their communities. They can broker relationships, speed recruitment, help startups get from lab to market faster with products that patients will actually use and that payers will actually reimburse.

The startup trap to avoid

Source: National Institute for Health and Care Research (NIHR)

Alice warned about companies that design products, then go looking for users to validate decisions they already made.

That’s backwards. Instead you should:

  • Find patient voices early.
  • Put them on advisory boards.
  • Include them in design sprints.
  • Listen to their feedback even when it’s uncomfortable or expensive to implement.

The successful companies in her portfolio think about long-term systemic change, not just short-term product development metrics.

What Healthtech Companies Need to Do Differently

The patient community isn’t a barrier to innovation. They’re the key to building products that actually work.

Stop designing in the dark

Source: Patient Better

If you’re building healthtech without continuous patient input, you’re wasting resources. You’ll miss market opportunities. You’ll build products that don’t get used or that put certain populations at risk.

Randy’s message was clear: “Come to us, and we will broker that relationship, because in the end, you’ll be more successful, and the patient community will get a better result.”

Measure what matters

Myechia challenged the AI industry on how they measure success: Don’t count the number of tools or features. Measure whether you’re closing the gap between lifespan and health span.

That gap is currently 13 years, which is the difference between how long people live and how many of those years are healthy years. If your technology doesn’t move that number, what’s the point?

Think systemically, not just tactically

Source: IQ Eye

Every speaker emphasized that technology is only one piece of a larger puzzle. You also need:

  • Policy changes that support adoption
  • Payment models that reward prevention
  • Training infrastructure for underserved communities
  • Clinical decision support that turns data into insights
  • Algorithms that account for biological differences across populations

If you’re only focused on your device or platform, you’re missing the bigger picture of how healthcare actually works.

The sales enablement angle

All of these insights about patient needs, accessibility requirements, women’s health gaps, digital equity challenges are the stories your prospects need to hear during long sales cycles.

B2B healthtech sales aren’t quick. You’re selling to health systems, payers, and large provider networks. The buying committees are complex. The evaluation periods stretch for months.

That’s exactly when prospects go cold or arrive at sales calls unprepared.

Daree headshot R side arms folded

I create educational email courses to bridge that gap. They keep prospects engaged with the exact kind of patient-centered insights I heard at CES. They position your company as one that understands real-world healthcare challenges, not just technology features.

In 2026 and beyond, healthtech companies that want to win understand their users deeply enough to build products those users will actually want, trust, and use.

The Measurement Challenge

A woman helping her elderly mother in a wheelchair

How do you know if you’re succeeding at patient-centered design? Myechia offered a simple test: “What do you want your life to look like at 75?”

You probably want to:

  • Stay in your home
  • Feel healthy
  • Stay empowered
  • Have information flow easily between you and loved ones
  • Remain connected to family and physicians
  • Be safe at home
  • Engage in daily activities with ease and without pain
  • Understand your medical information and chronic diseases
  • Control who has access to your data
  • Have a care plan you can execute yourself
  • Receive information you trust and can use readily

If your tech helps people achieve any of those goals, you’re on the right track. If it doesn’t, you need to rethink your approach.

Final Thoughts

CES 2026’s Digital Health Summit covered the hard work of actually listening to patients, caregivers, and the communities being served.

Startups who want to be successful in healthtech aren’t the ones chasing the next funding round or the flashiest AI feature. They’re the ones asking better questions:

  • Have we talked to patients who look different from our team?
  • Does our product work for women’s bodies, not just male bodies?
  • Can older adults use this without feeling stigmatized?
  • What infrastructure needs to exist beyond our technology?
  • Are we solving a real problem or just building something technically impressive?

Those questions lead to products that get adopted, outcomes that improve, and companies that actually make a difference. That’s the kind of healthtech worth building.

Wearable Pain Management Devices: A Non-Invasive Alternative

Wearable Pain Management Devices: A Non-Invasive Alternative

by Ree AI Health Tech

Pain is more than just a physical sensation—it’s a complex experience that can dramatically alter your daily life. Chronic pain affects almost 33% of adults, impacting their quality of life and daily activities. As traditional pain management methods often fall short, wearable pain management technologies offer hope for anyone struggling with ongoing pain.

These smart devices can:

  • Track pain signals
  • Provide quick relief
  • Help you understand your pain better

Let’s see how.

Contents

Chronic Pain and Wearable Technologies

Pain closeup word in dictionary

Types of chronic pain and pain conditions

Chronic pain can stem from various conditions, each presenting unique challenges:

  • Fibromyalgia
  • Lower back pain
  • Multiple sclerosis (MS)
  • Rheumatoid arthritis
  • Neuropathic pain
  • Endometriosis
  • Migraines

woman holding her knee radiating in pain

Along with different conditions that cause chronic pain, there are different types of chronic pain:

  • neuropathic (nerve) pain – related to nerve damage
  • nociceptive pain – pain caused by an injury, inflammation, or pressure
  • somatic pain – pain that starts in your face, limbs, or muscles
  • visceral pain – pain from the internal organs with sensory nerves

Problems with traditional pain management

Timed pill box

Traditional pain treatments often rely on medications, physical therapy, and lifestyle modifications. However, these methods have drawbacks:

  1. Medication side effects
  2. The risk of addiction
  3. Inconsistent pain relief
  4. Lack of personalization (one-size-fits-all approach)

Only about 17% of people living with chronic pain get enough pain relief from traditional treatments.

For example, Non-steroidal anti-inflammatory drugs (NSAIDs) have limited effectiveness in treating chronic pain and carry potential serious adverse effects, including an increased risk of heart attack or stroke. Opioids can be effective for short-term pain relief, but they have limited long-term effectiveness, and carry significant risks of addiction and misuse.

How wearable technologies detect and address pain

Wearable technologies offer a new approach to pain management:

A study published in the Interactive Journal of Medical Research reported that wearable devices improved pain management.

The science behind targeted pain relief

Wearable pain management devices use various scientific principles to provide targeted relief:

One example is Transcutaneous Electrical Nerve Stimulation (TENS), which works to reduce nociceptor activity and unwanted pain sensations.

Research from NXSTIM demonstrated that its TENS wearable device EcoAI reduced pain intensity for 92% of study participants.

Patient-reported outcomes and effectiveness

Wearable pain management technologies have shown promising results in patient-reported outcomes:

  • Improved pain control
  • Reduced medication use
  • Enhanced quality of life
  • Increased physical activity

A study on Spinal Cord Stimulation (SCS) therapy showed significant improvements in pain intensity and quality of life.

Types of Wearable Pain Management Devices

The market for wearable pain management devices has expanded rapidly, offering various options for different kinds of pain and patient needs.

Transcutaneous electrical nerve stimulation (TENS) devices

Electrode pads on knee

TENS devices use low-voltage electrical currents to provide pain relief. These wearable units typically consist of:

  • A small, battery-powered device
  • Electrode pads
  • Adjustable intensity settings

The FDA approved the TensWave pain relief device, designed to be portable and user-friendly, to alleviate pain without medication.

Compression and support wearables

Compression bandage in black

Compression garments and support devices can be helpful for conditions like arthritis or sports-related injuries. They help manage pain by:

  • Improving blood circulation
  • Reducing inflammation
  • Providing joint stability

Research in the Arthritis Research and Therapy showed that a soft knee brace helped reduce pain, improve walking speed, and increase confidence for people with knee osteoarthritis.

Smart patches and biosensors

Woman with patch on her arm

These advanced wearables use technology to:

  • Monitor physiological signals
  • Detect pain patterns
  • Deliver targeted pain relief

For example, a DGIST research team has developed a smart patch capable of real-time biometric signal monitoring and drug delivery. This level of continuous monitoring and immediate response is impossible with traditional pain management methods.

Electromagnetic therapy devices

Electromagnetic therapy wearables use pulsed electromagnetic fields (PEMF) to:

  • Reduce inflammation
  • Promote tissue healing
  • Alleviate pain

These devices can be effective for conditions like chronic lower back pain. Research has found that PEMF therapy reduced chronic lower back pain intensity in study participants.

Neurostimulation wearables

These devices target specific nerves to interrupt pain signals and provide relief. They can be used for various chronic pain conditions, including:

A narrative review reported that a neurostimulation device reduced migraine pain within two hours.

Technology Behind Pain Relief Wearables

The effectiveness of wearable pain management devices relies on advanced technologies that work together to detect, analyze, and address pain.

Sensor technologies and pain detection

Wearable sensors measure body signals to understand how each person experiences pain. This helps create personalized pain treatment plans.

Wearable devices use various sensors to monitor physiological signals associated with pain:

AI-powered devices are changing how we handle pain. They use sensors to track pain signals in the body, along with AI algorithms to figure out the best way to treat each person’s pain. These tools can measure things like heart rate and skin changes to understand pain levels and suggest personalized treatments.

Electrical stimulation mechanisms

Electrical stimulation devices work by:

  1. Blocking pain signals
  2. Stimulating endorphin release
  3. Improving local blood circulation

Research published in the Scientific Reports showed that electrical stimulation wearables reduced chronic pain and improved the walking gait of participants.

Biofeedback and pain tracking

Biofeedback is a method that helps you learn more about how your body works. By using special electronic devices, you can track things like your heart rate, muscle tension, or breathing. The main goal is to teach you how to control these body functions on purpose, almost like learning to control a muscle you didn’t know you could move before.

Biofeedback features in wearable devices help patients:

  • Identify pain triggers
  • Track pain patterns
  • Learn pain management techniques

By providing real-time feedback on physiological responses, these devices can empower you to take a more active role in managing your pain.

Machine learning and personalized pain management

AI and machine learning algorithms enhance the effectiveness of wearable pain management devices by:

  • Analyzing individual pain patterns
  • Predicting pain episodes
  • Optimizing treatment parameters

For instance, a study on digital biomarkers collected from wearables during SCS treatment showed that machine learning models can predict pain levels with an accuracy of 76.8%.

Integration with smartphone applications

Most wearable pain management devices connect to smartphone apps, offering:

  • Real-time pain tracking
  • Treatment customization
  • Data sharing with healthcare providers

In one study, a pain management app helped participants track and manage chronic pain. Those experiencing higher pain intensity and disability found it the most valuable. Some users appreciated the tracking features, while others found frequent monitoring intrusive.

Integrating apps into your healthcare regime promotes more comprehensive pain management and better communication between you and your healthcare team.

Clinical Applications and Research

Wearable pain management technologies have shown promise in various clinical settings and for different types of pain.

Pain management for specific conditions

Researchers have studied wearable devices to see how effective they are when managing pain associated with:

  • Fibromyalgia
  • Osteoarthritis
  • Lower back pain
  • Neuropathic pain

For example, a study on SCS therapy showed significant improvements in pain intensity and quality-of-life metrics for people with chronic pain conditions.

Sports injury recovery

Athletes and sports medicine professionals turn to wearable pain management devices for:

  • Faster recovery from injuries
  • Reduced reliance on pain medications
  • Improved rehabilitation outcomes

Compression wearables for instance, have shown promise in reducing pain and improving function in patients with knee osteoarthritis.

A study in BMC Sports Science, Medicine and Rehabilitation used advanced tracking devices like accelerometers, GPS, and force plates to monitor athletes’ performance. By collecting data on things like distance, speed, and impact, coaches can spot early signs of fatigue and prevent injuries. The technology can help sports coaches decide when to push athletes harder, and when to let them rest.

Chronic illness support

Wearable pain management technologies offer valuable support for people with chronic illnesses by:

  • Providing continuous pain relief
  • Reducing medication side effects
  • Improving quality of life

The integration of these devices into chronic pain management strategies can lead to more personalized and effective treatment plans.

Researchers frequently use wearable devices in clinical trials to test their effectiveness.

Rehabilitation and physical therapy

Wearable pain management devices are increasingly integrated into rehabilitation programs, offering:

  • Targeted pain relief during exercises
  • Progress tracking
  • Improved compliance (people following through with doctor instructions)

This integration can lead to more effective rehabilitation outcomes and faster recovery times.

A clinical trial in the Archives of Physical Medicine and Rehabilitation showed that TENS alone or combined with exercise or physical therapy, helped reduce knee pain and improve mobility. The combined therapy was particularly effective, showing a significant decrease in light-intensity activity time and potentially lowering psychological barriers to exercise. The results suggest this approach could be a valuable strategy for people struggling with knee pain and sedentary behavior.

Workplace ergonomics and injury prevention

Healthcare providers use wearable technologies in occupational health settings to:

  • Prevent workplace injuries
  • Manage chronic pain for employees
  • Improve ergonomics (physical comfort)

A study in Advanced Intelligent Systems found that implementing wearable pain management devices in the workplace can alleviate work-related pain and injuries.

By providing real-time feedback and pain management, these devices can help create safer and more comfortable work environments.

How to Choose the Right Wearable Pain Management Solution

With numerous options available, you should carefully consider several factors to select the right wearable pain management device for you.

Considerations when selecting a device

When choosing a wearable pain management solution, make note of its:

  1. Functions that help relieve your type of pain condition
  2. Device features and functionality
  3. Ease of use and comfort
  4. Battery life and portability
  5. Clinical evidence supporting its effectiveness

It’s important to consult with your healthcare provider to determine which device is best suited for your specific needs and condition.

Cost and insurance considerations

The cost of wearable pain management devices can vary widely. Consider:

While these devices may have higher upfront costs, they could lead to long-term savings in pain-related healthcare expenses. Research published in Cureus showed that despite higher upfront costs, wearable pain management devices resulted in lower overall pain-related healthcare expenses for participants.

User experience and comfort

The effectiveness of a wearable pain management device often depends on whether you use it correctly and consistently, and your comfort. Look for devices that offer:

  • Adjustable settings
  • Lightweight and discreet design
  • Easy-to-use controls

85% of the 90% of participants in a 2020 pilot study who used a device more than half of the study period reported high user satisfaction scores. This suggests that you’re more likely to use a device that’s comfortable and easy to use consistently, leading to better pain management outcomes.

Clinical validation and research

When selecting a wearable pain management device, prioritize those with strong clinical evidence that shows they’re effective. Look for:

Personalization and adaptability

Choose a device tailored to your specific needs and pain patterns. Look for features such as:

Future of Wearable Pain Management

The field of wearable pain management is rapidly evolving, with exciting developments on the horizon.

Emerging technologies

Future wearable pain management devices may incorporate:

These emerging technologies could significantly improve pain management outcomes in the coming years.

A report in Frontiers in Bioengineering and Biotechnology predicts that these emerging technologies will improve pain management outcomes.

Artificial intelligence integration

AI plays an important role in wearable pain management, offering:

For example, an automated pain recognition system using AI holds promise as an unbiased method to detect pain before, during, and after surgery.

Personalized medicine approaches

The future of wearable pain management includes highly personalized solutions, such as:

These personalized approaches could lead to significantly better health outcomes and more effective pain management strategies.

Potential for home-based pain management

Advancements in wearable technologies may lead to more comprehensive home-based pain management solutions, offering:

This shift towards home-based care can reduce hospital visits and improve the overall quality of life for chronic pain patients.

Research in Pain Therapy suggests that home-based wearable pain management devices reduce hospital visits for chronic pain.

Interdisciplinary research developments

The future of wearable pain management will likely involve collaboration across various fields, including:

This interdisciplinary approach could lead to breakthroughs in pain management, which could decrease how many people have chronic pain in the coming years.

Wearable pain management represents a promising frontier in healthcare technology. As devices become more sophisticated, personalized, and accessible, individuals suffering from chronic pain can look forward to more targeted, non-invasive relief strategies. The future of pain management is not just about treating symptoms, but understanding and addressing pain at its source.

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Ross, E. L., Jamison, R. N., Nicholls, L., Perry, B. M., & Nolen, K. D. (2020). Clinical Integration of a Smartphone App for Patients With Chronic Pain: Retrospective Analysis of Predictors of Benefits and Patient Engagement Between Clinic Visits. Journal of Medical Internet Research, 22(4), e16939. doi.org/10.2196/16939

Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine. (2024). Cyborg and Bionic Systems. Retrieved from https://spj.science.org/doi/10.34133/cbsystems.0160

Smart patch combines real-time health monitoring and drug delivery. (2025). Medical Xpress. Retrieved from https://medicalxpress.com/news/2025-02-smart-patch-combines-real-health.html

Spiegel, B., Fuller, G., Lopez, M., Dupuy, T., Noah, B., Howard, A., Albert, M., Tashjian, V., Lam, R., Ahn, J., Dailey, F., Rosen, B. T., Vrahas, M., Little, M., Garlich, J., Dzubur, E., IsHak, W., & Danovitch, I. (2019). Virtual reality for management of pain in hospitalized patients: A randomized comparative effectiveness trial. PLoS ONE, 14(8), e0219115. doi.org/10.1371/journal.pone.0219115

Tepper, S.J., McAllister, P., Monteith, T. (2024). Update on Noninvasive Neuromodulation for Headache Treatment. Practical Neurology (US).;23(4):23-28.

Trafton, A. Wearable patch can painlessly deliver drugs through the skin. (2023). Massachusetts Institute of Technology. Retrieved from https://news.mit.edu/2023/wearable-patch-can-painlessly-deliver-drugs-through-skin-0419

Transcutaneous Electrical Nerve Stimulation for Pain Control. (2024). Head & Neck Pain Clinic. Retrieved from https://mhnpc.com/2024/10/28/transcutaneous-electrical-nerve-stimulation-for-pain-control/

Weatherly, S., McKenna, T., Wahba, S., Friedman, A., Goltry, W., Wahid, T., Abourahma, H., Lee, K., Rehman, A., Odeh, A., & Costin, J. (2024). Effectiveness of Digital Health Interventions (DHI) in Chronic Pain Management: A Scoping Review of Current Evidence and Emerging Trends. Cureus, 16(10), e72562. doi.org/10.7759/cureus.72562

Why Traditional Pain Management Doesn’t Work for Many With Chronic Pain. Michigan Integrative Health. Retrieved from https://michiganih.com/why-traditional-pain-management-doesnt-work-for-many-with-chronic-pain/

Yamada, K., Shimizu, H., Doi, N., Harada, K., et al. (2025). Usefulness and Safety of a Wearable Transcutaneous Electrical Nerve Stimulation Device for Promoting Exercise Therapy in Patients With Chronic Knee Pain: A Randomized Controlled Trial. Archives of Physical Medicine and Rehabilitation, 106 (2), 167-176. doi: 10.1016/j.apmr.2024.08.021

Zhu, Y., Yao, Y., Kuang, R., Chen, Z., Du, Z., & Qu, S. (2023). Global research trends of nanotechnology for pain management. Frontiers in Bioengineering and Biotechnology, 11, 1249667. https://doi.org/10.3389/fbioe.2023.1249667

Enhancing Research with Wearables in Clinical Trials

Enhancing Research with Wearables in Clinical Trials

by Ree AI Health Tech Med Tech

As clinical trials grow in number and complexity, wearables are becoming essential. They allow for remote patient monitoring (RPM) and can track multiple health metrics at once. This is crucial as the number of trial endpoints has increased by 10% in the last ten years. Let’s explore how using wearables in clinical trials helps accelerate medical research.

Contents

Wearables in Medical Research

What are wearables?

Wearables are small, smart devices like sensors that, combined with apps, collect health data. These devices can track everything from your heart rate to how well you sleep. They’re like having a mini-lab on your wrist or body. 

Wearables in clinical trials refers to all types of medical tech used in medical research.

Types of wearable devices used in clinical trials

Black woman gold top showing phone with glucose meter on arm

There’s a whole range of wearables being used in medical research:

The popularity of wearables in research

Wearables are taking the medical research world by storm. The use of wearables in clinical trials has grown by 50% from 2015 to 2020 (Marra et al., 2020). 

Wearable devices make collecting health data easier for medical researchers. They allow for real-time analysis of large data sets and help identify health trends, which brings ease and precision to clinical trials and medical studies.

Benefits of Using Wearables in Clinical Trials

Why are researchers so excited about wearables? Let’s break it down.

Real-time data collection and monitoring

Monitoring dashboard on a desk

Imagine getting a constant stream of health data from patients, 24/7. Wearables allow clinicians to monitor real-time data, so there’s no more waiting for patients to come in for check-ups or relying on their memory of symptoms.

Improved patient engagement and compliance

People are more likely to stick with a study when they’re using familiar devices. RPM systems often include medication reminders and tracking features, which can significantly improve adherence rates. 

Enhanced accuracy and objectivity of data

Wearables don’t forget or exaggerate. They provide hard data without human error or bias. Combining wearable sensors and advanced software in clinical trials is one of the best ways to make sure the data is accurate (Seitz, 2023).

Cost-effectiveness and efficiency in trial conduct

Wearable tech in healthcare shows promise for better data collection and analysis-–it can improve disease understanding, treatments, and clinical trials (Izmailova et al., 2018). 

By reducing the need for in-person visits and automating data collection, wearables can cut trial costs by up to 60% (Coravos et al., 2019).

How Wearables Are Used in Clinical Trials

How are wearables being used in real studies? Let’s look at some examples.

Continuous vital sign monitoring

Wearables can track heart rate, blood pressure, and even oxygen levels around the clock. This is especially useful in studies of heart conditions or respiratory diseases.

Activity and sleep tracking

Older woman asleep wearing smartwatch next to cell phone

These devices can measure how much you move and how well you sleep. This data is valuable for studies on conditions like insomnia or chronic fatigue syndrome.

Medication adherence tracking

Timed pill box

Some smart pill bottles can remind patients to take their medication and record when they do. This helps clinicians know if patients are following the treatment plan.

Remote patient monitoring and telemedicine integration

Wearables allow doctors to check on patients from afar. This is particularly helpful for patients who live far from research centers or have mobility issues.

In a study of patients with Parkinson’s disease, wearable sensors were used to track movement patterns. This allowed researchers to measure the effectiveness of a new treatment more accurately than traditional methods (Espay et al., 2016).

Challenges and Limitations of Wearables in Clinical Trials

While wearables offer many benefits, they also come with some challenges.

Data privacy and security concerns

Hacker in a red hoodie

With so much personal health data being collected, keeping it safe is a top priority. Researchers need to ensure that patient information is protected from hackers and unauthorized access.

Regulatory hurdles and FDA approval processes

Getting new devices approved for use in clinical trials can be a long and complex process. The FDA has strict rules about what devices can be used and how data can be collected.

Integration with existing clinical trial systems

Many research centers have established systems for collecting and analyzing data. Integrating wearable data into these systems can be tricky and time-consuming, but can be overcome.

Potential for data overload and interpretation issues

Wearables can generate massive amounts of data. Sorting through all this information and making sense of it can be overwhelming for researchers.

One study found that while 79% of clinical trials were interested in using wearables, only 39% felt confident in their ability to manage and analyze the data effectively (Walton et al., 2015).

Best Practices to Incorporate Wearables in Clinical Trials

To make the most of wearables in clinical trials, researchers should follow these best practices.

Monitor attached to back of a woman's left shoulder

Select appropriate wearable devices for specific trial needs

Not all wearables are created equal. Researchers must choose devices that are scientifically relevant to the study’s endpoints and can gather precise, valid data. 

The goal is to collect meaningful information that significantly contributes to the study’s outcomes and conclusions, rather than just monitoring for the sake of it (Rudo & Dekie, 2024). For example, a sleep study might need a device with advanced sleep-tracking capabilities.

Ensure data quality and validation

It’s crucial to verify that the data collected by wearables is accurate and reliable. This often involves comparing wearable data with data from traditional medical devices.

Train participants and researchers on proper device use

Both patients and research staff need to know how to use the wearables correctly. Good training can improve data quality and reduce errors.

Develop robust data management and analysis protocols

With so much data coming in, having a solid plan for managing and analyzing it is essential. This may involve using specialized software or working with data scientists.

Steinhubl et al. (2018) researched how heart failure patients used wearable sensors to track daily activity. By carefully selecting devices and training participants, the researchers collected high-quality data leading to new insights about the progression of heart failure.

What’s next for wearables in clinical trials? Let’s take a peek.

Smart watch illustration in blue and red

AI and machine learning integration for data analysis

As the amount of data grows, artificial intelligence (AI) and Internet of Things (IoT) will play a bigger role in making sense of it all. AI can help spot patterns and trends that humans might miss.

Multi-modal sensors

Multi-modal sensors in wearables combine different types of sensors in one device to give a more complete picture of a patient’s health (Sietz, 2023). It can include body sensors, environmental sensors, and even imaging tech to gather a wide range of data for clinical studies.

Expanded use of wearables in decentralized clinical trials

More trials are moving away from traditional research centers. Wearables make it possible to conduct studies with patients in their own homes, opening up research to a wider group of people.

Potential for personalized medicine and treatment optimization

By collecting detailed, individual health data, wearables help tailor treatments to each patient’s unique needs.

Conclusion

Wearables are becoming an integral part of clinical trials, offering new insights into patient health and treatment efficacy. These smart devices are likely to greatly impact medical research, leading to faster, more efficient, and patient-centric clinical trials. Who knows–the next big medical breakthrough might come from a small device you can wear.

References

Coravos, A., Khozin, S., & Mandl, K. D. (2019). Developing and adopting safe and effective digital biomarkers to improve patient outcomes. NPJ digital medicine, 2(1), 1-5.

Espay, A. J., Bonato, P., Nahab, F. B., Maetzler, W., Dean, J. M., Klucken, J., … & Papapetropoulos, S. (2016). Technology in Parkinson’s disease: Challenges and opportunities. Movement Disorders, 31(9), 1272-1282.

Izmailova, E. S., Wagner, J. A., & Perakslis, E. D. (2018). Wearable Devices in Clinical Trials: Hype and Hypothesis. Clinical Pharmacology & Therapeutics, 104(1), 42-52.

Marra, C., Chen, J. L., Coravos, A., & Stern, A. D. (2020). Quantifying the use of connected digital products in clinical research. NPJ digital medicine, 3(1), 50.

Seitz, S. (2023). Wearable sensors have already enhanced clinical trials and their impact in this market is only going to grow as technology advances. Find out what clinical trial applications and opportunities exist for your innovative wearable technology company. Sequenex. Retrieved from https://sequenex.com/blog/enhancing-clinical-trials-with-wearable-sensors-and-software-solutions/

Steinhubl, S. R., Waalen, J., Edwards, A. M., Ariniello, L. M., Mehta, R. R., Ebner, G. S., … & Topol, E. J. (2018). Effect of a home-based wearable continuous ECG monitoring patch on detection of undiagnosed atrial fibrillation: the mSToPS randomized clinical trial. Jama, 320(2), 146-155.

Todd Rudo, T., & Dekie, L. (2024). The Future Fit of Wearables for Patient-Centric Clinical Trials. Applied Clinical Trials, 33(4).

Walton, M. K., Powers, J. H., Hobart, J., Patrick, D., Marquis, P., Vamvakas, S., … & Burke, L. B. (2015). Clinical outcome assessments: conceptual foundation—report of the ISPOR Clinical Outcomes Assessment–Emerging Good Practices for Outcomes Research Task Force. Value in Health, 18(6), 741-752.

Wearable Technology Clinical Trials: All You Need To Know About 5 Wearable Devices And Wearable Sensors. Learning Labb Research Institute. (n.d.) Retrieved from https://llri.in/wearable-technology-clinical-trials/

Williams, K. (2023). The Future of Clinical Trials: Embracing Wearables and Beyond. Datacubed Health. Retrieved from https://www.datacubed.com/the-future-of-clinical-trials-embracing-wearables-and-beyond-2/

10 Best Telehealth Platforms for Virtual Doctor Visits 

by Ree AI Health Tech Med Tech

Telehealth has become an essential part of modern healthcare, offering convenient access to medical professionals from the comfort of your home. 

According to a recent study by the American Medical Association, over 85% of physicians now see telehealth as a vital part of their practice. This surge in virtual healthcare has led to a proliferation of telehealth platforms, each offering unique features to connect patients with healthcare providers. 

But with so many options available, how do you choose the right platform for your needs?

This article reviews the 10 best telehealth platforms for virtual doctor visits, helping you move through virtual healthcare with confidence.

Contents

Factors to Consider When Choosing a Telehealth Platform

Before we dive into the top platforms, let’s look at some key factors to consider when selecting a telehealth service.

App icons on black background

User interface and ease of use

How user-friendly is the platform? Can you easily navigate the app or website to book appointments, chat with doctors, and access your medical records? A study found that user experience significantly impacts patient satisfaction and engagement in telehealth (Jiang et al., 2021).

Available medical specialties

Does the platform offer access to the type of healthcare providers you need? Some platforms focus on primary care, while others provide a wide range of specialties. 

Pricing and insurance acceptance

How much does the service cost, and does it accept your insurance? Some platforms offer flat-rate visits, while others use a subscription model. The National Association of Insurance Commissioners reports that 43 states and Washington D.C. have laws requiring private insurers to cover telehealth services.

Privacy and security features

Is the platform HIPAA-compliant and committed to protecting your personal health information? A study found that 71% of patients expressed concerns about data privacy in telehealth (Azad et al., 2021).

Prescription capabilities

Can doctors on the platform prescribe medications when necessary? Not all telehealth services offer this feature, so it’s important to check if you need regular prescriptions.

Top 10 Telehealth Platforms 

Now, let’s take a closer look at the top 10 telehealth platforms for online doctor visits.

1. Teladoc

Teladoc is one of the largest and most well-known telehealth providers, offering a wide range of medical services through its user-friendly platform.

Teladoc statistic: Over 50% of chronic care services live in underserved areas
Source: Teladoc Health’s LinkedIn page

Key Features:

  • 24/7 access to board-certified doctors
  • Covers a broad spectrum of medical conditions
  • Available via mobile app, web, or phone
ProsCons
Wide network of providersWait times can be long during peak hours
Accepts many insurance plansSome users report inconsistent care quality

Use case 

Sarah, a busy mom, uses Teladoc for late-night pediatric consultations when her children have minor illnesses.

To learn more, visit:

Teladoc

2. MDLive

MDLive provides on-demand healthcare services, including medical, dermatology, and behavioral health (mental health) consultations.

Doctor onscreen with patient - MDLive app
Source: MDLive

Key Features:

  • Virtual doctor visits are available within minutes
  • Offers both scheduled appointments and on-demand care
  • Integrates with many health plans and employers
ProsCons
Quick access to careLimited specialist options
User-friendly mobile appSome users report technical issues

Use case 

John, a frequent traveler, relies on MDLive for urgent care needs while he’s on the road.

To learn more, visit:

MDLive

3. Amwell

Amwell offers a comprehensive telehealth platform with a focus on both urgent care and ongoing health management.

Screenshots from Amwell app in Apple's app store

Key Features:

  • Wide range of specialties available
  • 24/7 access to medical professionals
  • Integrates with many health systems and insurers
ProsCons
High-quality video consultationsHigher prices for some specialties
Easy-to-use interfaceLimited availability in some rural areas

Use case 

Emily uses Amwell to manage her chronic condition with regular check-ins with her specialist.

To learn more, visit:

Amwell

4. Doctor on Demand

Doctor on Demand provides video visits with US-licensed healthcare providers for various medical and mental health concerns.

Patient using Doctor on Demand app
Source: Doctor on Demand

Key Features:

  • Offers both medical and mental health services
  • No subscription required pay per visit
  • Available nationwide
ProsCons
Transparent pricingLimited specialist options
Quick connection timesNot all services covered by insurance

Use case 

Mike uses Doctor on Demand for therapy sessions to manage his anxiety.

To learn more, visit:

Doctor on Demand

5. PlushCare

PlushCare provides primary care services through its telehealth platform, with an emphasis on building ongoing relationships with providers.

Doctor onscreen - PlushCare app
Source: PlushCare

Key Features:

  • Same-day appointments often available
  • Offers ongoing primary care and prescription management
  • Works with many insurance plans
ProsCons
Continuity of care with the same doctorLimited specialist access
High patient satisfaction ratingsNot available in all states

Use case 

Lisa uses PlushCare as her primary care provider, managing her health through regular virtual check-ups.

To learn more, visit:

PlushCare

6. K Health

K Health LinkedIn post
Source: K Health’s LinkedIn page

K Health uses AI technology to provide personalized health assessments and connect users with doctors for virtual consultations.

Key Features:

ProsCons
Affordable pricing optionsLimited to certain medical conditions
Quick, AI-assisted triageSome users find the AI assessment confusing

Use case 

Tom uses K Health’s AI symptom checker to determine if he needs to speak with a doctor about his symptoms.

To learn more, visit:

K Health

7. Virtuwell

Virtuwell offers online diagnosis and treatment plans for common conditions, with a focus on quick, efficient care.

How Virtuwell Works

Key Features:

  • No video required text-based consultations
  • 24/7 availability
  • Treatment plans often ready within an hour
ProsCons
Fast turnaround timesLimited to specific conditions
Affordable flat-rate pricingNot available in all states

Use case 

Rachel uses Virtuwell for quick treatment of her recurring urinary tract infections.

To learn more, visit:

Virtuwell

8. Lemonaid Health

Lemonaid LinkedIn post
Source: Lemonaid Health’s LinkedIn page

Lemonaid Health, part of 23andMe, provides online consultations and prescription services for a variety of common health concerns.

Key Features:

  • Same-day prescriptions for many conditions
  • Offers lab testing services
  • Flat-rate pricing for consultations
ProsCons
Quick and easy prescription processLimited to specific conditions
Transparent pricingNot covered by insurance

Use case 

David uses Lemonaid Health to manage his hair loss treatment.

To learn more, visit:

Lemonaid Health

9. 98point6

98point6 offers text-based primary care consultations with board-certified physicians, using AI to streamline the process.

https://vimeo.com/98point6/experience?share=copy

Key Features:

  • On-demand, text-based care
  • Subscription model for unlimited visits
  • Available nationwide
ProsCons
Convenient text-based formatLimited to primary care
Affordable subscription pricingSome users prefer video consultations

Use case 

Amanda uses 98point6 for quick medical advice and prescriptions for common ailments.

To learn more, visit:

98point6

10. Ro

Ro focuses on specific health concerns, including sexual health, fertility, weight management, and smoking cessation.

Ro app
Source: Ro

Key Features:

  • Specialized care for specific health issues
  • Includes medication delivery services
  • Offers ongoing care plans
ProsCons
Comprehensive care for specific conditionsLimited to certain health concerns
Convenient medication deliveryHigher costs for some treatments

Use case 

Mark uses Ro to manage his erectile dysfunction treatment discreetly.

To learn more, visit:

Ro

Comparison of Key Features Across Platforms

Each platform offers a unique combination of features and services. To help you make an informed decision, let’s compare some key features across them.

PlatformPricing ModelAvailabilityDevice CompatibilityAdditional Services
TeladocPer visit or subscription24/7Mobile, web, phoneMental health, dermatology
MDLivePer visit24/7Mobile, webBehavioral health, dermatology
AmwellPer visit24/7Mobile, webNutrition counseling, breastfeeding support
Doctor on DemandPer visit24/7Mobile, webMental health, preventive health
PlushCareSubscription + per visitScheduledMobile, webLab testing, ongoing primary care
K HealthSubscription or per visit24/7MobileAI symptom checker, mental health
VirtuwellPer visit24/7Mobile, webTreatment plans, prescriptions
Lemonaid HealthPer visitExtended hoursMobile, webLab testing, birth control
98point6Subscription24/7MobileText-based primary care
RoSubscription or per treatmentVariesMobile, webMedication delivery, ongoing care plans

When choosing a telehealth platform, consider your specific healthcare needs, budget, and preferences for communication methods.

Remember, telehealth is not a replacement for all in-person medical care. A study published in the Journal of Medical Internet Research found that while 82% of patients were satisfied with their telehealth experience, 21% still preferred in-person visits for certain conditions (Ramaswamy et al., 2020).

Conclusion

Robust telehealth platforms have opened up new avenues for accessing healthcare, bringing convenience and efficiency to patient care. Each of the top 10 telehealth platforms for virtual doctor visits offers unique strengths to cater to diverse healthcare needs. 

Whether you’re seeking urgent care, mental health support, or specialist consultations, there’s likely a platform that fits your requirements. As virtual healthcare continues to evolve, staying informed about these platforms empowers you to make the best choices for your health. 

Ready to experience the benefits of telehealth firsthand? Choose a platform that resonates with your needs and take the first step towards more accessible healthcare.

References

American Medical Association. 2021 Telehealth Survey Report. Chicago, IL: American Medical Association; 2021. Retrieved from https://www.ama-assn.org/system/files/telehealth-survey-report.pdf

Azad, M., Arshad, J., Akmal, S. M. A., Riaz, F., Abdullah, S., Imran, M., & Ahmad, F. (2021). A First Look at Privacy Analysis of COVID-19 Contact Tracing Mobile Applications. IEEE Internet of Things Journal, 8(21), 15796-15806. doi.org/10.1109/JIOT.2020.3024180

Clarity Ventures. (2024). Updated for 2024: The 21 Best Telemedicine Software Providers.  Retrieved from https://www.clarity-ventures.com/hipaa-ecommerce/telemedicine-software-providers

Jiang, J., Zhu, Q., Zheng, Y., Zhu, Y., Li, Y., & Huo, D. (2021). Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study. JMIR mHealth and uHealth, 9(2), e24260. doi.org/10.2196/24260

National Association of Insurance Commissioners. (2022). Telehealth Insurance Coverage. https://content.naic.org/cipr-topics/telehealth-insurance-coverage

Ramaswamy, A., Yu, M., Drangsholt, S., Ng, E., Culligan, P. J., Schlegel, P. N., & Hu, J. C. (2020). Patient Satisfaction With Telemedicine During the COVID-19 Pandemic: Retrospective Cohort Study. Journal of Medical Internet Research, 22(9), e20786. doi.org/10.2196/20786

How Digital Health Platforms Affect Healthcare Costs

by Ree AI Health Tech Med Tech

As healthcare costs continue to go up, digital health platforms are emerging as powerful cost-cutting tools. The global digital health market size was estimated at $240.9 billion in 2023 and is projected to grow at a compound annual growth (CAGR) of 21.9% from 2024 to 2030. 

These platforms are not just fancy apps or websites. From telehealth to AI-powered diagnostics, digital health applications are changing healthcare for the better. 

How do these platforms trim the fat from our bloated healthcare system? Let’s explore the ways digital health can make healthcare more affordable for everyone.

Contents

Telemedicine: Healthcare at Your Fingertips

Telemedicine brings healthcare right to your home, office, or wherever you are. It’s like having a doctor in your pocket! But how does this convenience translate to cost savings?

Woman in green sweater talking to doctor on Zoom

Virtual doctor visits reduce travel and waiting room costs

A study published in the Journal of Medical Internet Research found that telehealth visits saved patients an average of 100 minutes of travel time and $50 in travel costs per visit (Snoswell et al., 2020).

Think about the last time you went to the doctor. How much time did you spend traveling and sitting in the waiting room? With telehealth, those time and money costs disappear. 

Fewer ER visits

How often have you wondered if that late-night stomach ache was worth a trip to the ER? Telehealth tools like AI chatbots can help you make that decision without leaving home. 

Cost savings for both patients and healthcare providers

It’s not just patients who save money. Healthcare providers benefit too. Telehealth services have been found to reduce healthcare costs for providers and patients. Even better, many insurers now have an allowance to cover the cost of certain telehealth visits.

Preventive Care: Stopping Problems Before They Start

Have you ever heard the saying “an ounce of prevention is worth a pound of cure”? Digital health platforms are making this old adage more relevant than ever.

How digital platforms promote healthy habits

Fitness app in the gym

From step counters to diet trackers, digital health apps are helping us stay healthier. But do they really make a difference? A study by Ernsting et al. (2017) found that users of health and fitness apps were 34% more likely to meet physical activity guidelines compared to non-users.

Wearable devices and their impact on early detection

glucose monitor on arm with phone app showing glucose level

Smartwatches surpass the practical use of telling time–they’re becoming powerful health monitors. For example, Apple Watch’s ECG feature can detect atrial fibrillation with 98% accuracy, potentially preventing strokes and saving lives (Perez et al., 2019).

How AI and big data can predict health risks and reduce costs

Big Data Analytics in healthcare uses AI, machine learning and deep learning tools to help doctors find the best treatments for each patient, which can reduce waste. This lets doctors predict health problems  and start treatments early, which can save lives. This could change how common certain diseases are and save money on healthcare (Batko & Ślęzak, 202​​2).

Cost savings through prevention vs. treatment

Prevention isn’t just better for our health—it’s better for our wallets too. The Centers for Disease Control and Prevention estimates that chronic diseases that are avoidable through preventive care account for 75% of the nation’s healthcare spending.

Streamlined Administrative Processes

Paperwork is no one’s favorite part of healthcare. Digital platforms are making administrative tasks faster, easier, and more cost-effective.

Automated appointment scheduling and reminders

Have you ever forgotten a doctor’s appointment? Digital reminders can help. 

Smartwatch with phone and dumbbells

Ulloa-Pérez et al. (2022) found that sending an extra text reminder for high-risk appointments reduced no-shows in primary care and mental health offices, and same-day cancellations in primary care offices. 

Targeting reminders using risk prediction models (predictive analytics) can efficiently use healthcare resources, potentially preventing hundreds of missed visits monthly. This approach saves costs compared to messaging all patients, though implementing the risk model has some costs.

Digital health records reduce paperwork and administrative errors 

Nurse charting

Remember when doctors used to write prescriptions by hand? Digital health records make all kinds of admin work more efficient. A study in the Journal of the American Medical Informatics Association found that electronic health records with AI can reduce medication and billing errors.

Cost savings through improved workflow and resource allocation

Efficient workflows mean better care at lower costs. A study in the Journal of Medical Internet Research found that digital health platforms improved hospital workflow efficiency by 25%, leading to annual cost savings of $1.2 million for a mid-sized hospital (Luo et al., 2019).

Person looking at white overlay

Data-Driven Insights for Better Decision Making

In the age of big data, information is power. Healthcare is no exception. With all this digital information, doctors can make smarter choices about your health. 

How big data analytics improve treatment plans

A study in the Journal of Big Data found that big data analytics improved treatment efficacy by 30% and reduced treatment costs by 20% (Dash et al., 2019).

Cost savings from shorter and fewer hospital stays

Nurse standing in a recovery room

Have you ever wondered how hospitals decide how many beds they need? Predictive analytics is the answer. It can reduce hospital bed shortages and decrease operational costs.

Hospital stays are expensive, but RPM can help shorten them. RPM allows patients to be discharged an average of 2 days earlier, resulting in cost savings of $7,000 per patient.

Personalized medicine and its impact on cost reduction

One size doesn’t fit all in healthcare. Targeted treatments are more effective and cost-effective. 

  • Personalized treatment plans based on genetic data improve treatment efficacy and reduce adverse drug reactions (ADRs).
ECG monitor closeup on stomach

Remote Patient Monitoring: Reducing Hospital Stays

Sometimes, the best hospital care happens outside the hospital. 

Remote patient monitoring (RPM) allows health providers to keep an eye on patients without keeping them in the hospital. From smart pills to wearable sensors, remote monitoring technologies are diverse and growing. 

Impact on reducing hospital readmissions

Nobody likes going back to the hospital. Remote monitoring can help prevent that. A study in the New England Journal of Medicine found that remote monitoring reduced hospital readmissions for heart failure patients by 50% (Perez et al., 2019).

Management of chronic conditions from home

Gentleman taking his blood pressure in tan shirt

Chronic conditions are a major driver of healthcare costs. Remote monitoring can help manage these conditions more effectively. 

A 2024 study showed that telehealth reduces healthcare costs by cutting down on hospital visits, travel time, and missed work, especially for managing chronic conditions. This benefits both patients and healthcare systems financially (Prasad Vudathaneni et al., 2024).

Increasing Access to Specialized Care

Specialized care can be hard to access, especially in rural areas. Digital health isn’t just about general care – it’s also bringing expert help to more people.

Telehealth solutions for rural and underserved areas

Rural healthcare access is a major challenge. Telehealth can help bridge that gap. A study in Health Affairs found that telehealth increased access to specialty care in rural areas by 54%.

Telehealth also faces challenges like high setup costs and outdated payment models, especially in rural areas. Its success depends on cost distribution, clinical outcomes, and indirect savings. Hospitals need funding and strategies to reach underserved groups and ensure fair access to telehealth (Anawade et al., 2024).

Virtual second opinions and their impact on treatment decisions

Getting a second opinion can be life-changing. Virtual platforms make it easier than ever. Virtual second opinions can change the diagnosis or treatment plan in over one-third of cases, potentially avoiding unnecessary procedures and costs.

Conclusion

Digital health platforms are powerful allies to counteract rising healthcare costs. By leveraging technology for prevention, efficiency, and data-driven insights, these platforms are making healthcare more accessible and affordable. From applications like telehealth reducing unnecessary ER visits to catching illnesses early with AI-powered diagnostics, the potential for cost savings is huge. 

As patients, we can embrace these digital tools to take control of our health and potentially lower our healthcare expenses. For healthcare providers, adopting these platforms could lead to more efficient operations and better patient outcomes. 

What do you think about these digital health innovations? Have you used any of these technologies in your own healthcare journey? 

References

Anawade, P. A., Sharma, D., & Gahane, S. (2024). A Comprehensive Review on Exploring the Impact of Telemedicine on Healthcare Accessibility. Cureus, 16(3). doi.org/10.7759/cureus.55996

Batko, K., & Ślęzak, A. (2022). The use of Big Data Analytics in healthcare. Journal of Big Data, 9(1). doi.org/10.1186/s40537-021-00553-4

Centers for Disease Control and Prevention. (2021). Chronic diseases in America. Retrieved from https://www.cdc.gov/chronicdisease/resources/infographic/chronic-diseases.htm

Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 1-25. doi.org/10.1186/s40537-019-0217-0

Ernsting, C., Dombrowski, S. U., Oedekoven, M., & Kanzler, M. (2017). Using smartphones and health apps to change and manage health behaviors: A population-based survey. Journal of Medical Internet Research, 19(4), e101.

Grand View Research. (2024). Digital Health Market Size, Share & Trends Analysis Report By Technology (Healthcare Analytics, mHealth), By Component (Hardware, Software, Services), By Application, By End-use, By Region, And Segment Forecasts, 2024 – 2030. Retrieved from https://www.grandviewresearch.com/industry-analysis/digital-health-market

Luo, L., Li, J., Liang, X., Zhang, J., & Guo, Y. (2019). A cost-effectiveness analysis of a mobile-based care model for community-dwelling elderly individuals. Journal of Medical Internet Research, 21(5), e13563.

Perez, M. V., Mahaffey, K. W., Hedlin, H., Rumsfeld, J. S., Garcia, A., Ferris, T., Balasubramanian, V., Russo, A. M., Rajmane, A., Cheung, L., Hung, G., Lee, J., Kowey, P., Talati, N., Nag, D., Gummidipundi, S. E., Beatty, A., Hills, M. T., Desai, S., … Turakhia, M. P. (2019). Large-scale assessment of a smartwatch to identify atrial fibrillation. New England Journal of Medicine, 381(20), 1909-1917.

Personalized Medicine Coalition. (2020). The personalized medicine report: Opportunity, challenges, and the future. Retrieved from http://www.personalizedmedicinecoalition.org/Userfiles/PMC-Corporate/file/The-Personalized-Medicine-Report1.pdf

Prasad Vudathaneni, V. K., Lanke, R. B., Mudaliyar, M. C., Movva, K. V., Kalluri, L. M., & Boyapati, R. (2024). The Impact of Telemedicine and Remote Patient Monitoring on Healthcare Delivery: A Comprehensive Evaluation. Cureus, 16(3). doi.org/10.7759/cureus.55534

Snoswell, C. L., Taylor, M. L., Comans, T. A., Smith, A. C., Gray, L. C., & Caffery, L. J. (2020). Determining if telehealth can reduce health system costs: Scoping review. Journal of Medical Internet Research, 22(10), e17298.

Ulloa-Pérez, E., Blasi, P. R., Westbrook, E. O., Lozano, P. , Coleman, K. F., & Coley, R. Y.  (2022). Pragmatic Randomized Study of Targeted Text Message reminders to Reduce Missed Clinic Visits. The Permanente Journal, 26(1), doi/10.7812/TPP/21.078

Winstead, E. (2023). Telehealth Can Save People with Cancer Time, Travel, and Money. National Cancer Institute. Retrieved from https://www.cancer.gov/news-events/cancer-currents-blog/2023/telehealth-cancer-care-saves-time-money

How Health Apps Promote Preventive Care and Early Disease Detection

How Health Apps Promote Preventive Care and Early Disease Detection

by Ree AI Health Tech

Health apps have become powerful tools for preventive care and early disease detection. From tracking daily habits to advanced symptom checkers, these apps have made it much easier to manage our health, putting vital information and monitoring capabilities right at our fingertips. 

Let’s see how these innovative health apps promote preventive care, empowering users to take proactive steps towards better health outcomes.

Contents

Preventive Care and App Usage

Preventive Care sign and stethoscope

Health apps play a crucial role in preventive care by empowering people to take a proactive approach to manage their health. They include features to monitor vital signs, track fitness goals, and assess disease risks–all from the convenience of a smartphone.

Before we discuss how health apps promote preventive care, let’s define and review that concept.

What is preventive care?

Preventive care refers to routine healthcare services aimed at preventing illnesses and detecting health issues before they become serious. This includes regular check-ups, vaccinations, screenings, and lifestyle counseling. 

Focusing on prevention can help people stay healthier, save money, and catch issues early when they’re more treatable. Preventing diseases is often easier and more cost-effective than treating them. 

Growth of health app market in recent years

The health app market isn’t just growing; it’s booming. With over 300,000 health apps available and about 200 new ones released daily, we have a vast array of options available anytime. 

As of 2023, there’s been over 200 million diet and nutrition app downloads, and 20% of Americans use wearable devices integrated with health and fitness apps. This growth is driven by increasing smartphone usage, rising awareness about health and fitness, and the convenience these apps offer.

The health app market has seen explosive growth in recent years. In fact, the global mHealth apps market size was estimated at USD 32.42 billion in 2023 and is anticipated to grow at a compound annual growth rate (CAGR) of 14.9% from 2024 to 2030. 

This surge reflects a big shift in healthcare from reactive treatment to proactive prevention.

Key features of successful preventive care apps

What makes a preventive care app successful? The most effective apps share some common features:

  • User-friendly interfaces

  • Personalized health recommendations

  • Integration with wearable devices

  • Data visualization tools

  • Social sharing capabilities

  • Regular updates based on the latest health guidelines

These features help users stay engaged and motivated in their health journey.

Woman with headphones stretching before a run outside
Source: Styled Stock Society

Who’s using these apps? While health apps appeal to a broad audience, certain demographic trends are emerging. 

A study found that 84 million people in the U.S. used healthcare apps to monitor their health-related activities in 2022. Millennials and Gen Z lead the charge in health app adoption, with a particular focus on fitness and mental health apps.

Apps for Health Monitoring and Tracking

As health apps continue to grow in popularity, let’s explore some of the most popular categories and how they’re helping users monitor their health.

Apps to track vital signs 

Purple pulse oximeter and mask

Vital sign tracking apps have become increasingly sophisticated. Many can now measure heart rate, blood pressure, and even blood oxygen levels using just a smartphone camera or with wearable devices. 

For example, the Cardiio app uses a smartphone camera to measure heart rate with 97% accuracy compared to clinical pulse oximeters.

Apps to monitor sleep patterns and quality

Older woman asleep wearing smartwatch next to cell phone

Poor sleep can increase your risk of various health issues. 

Sleep tracking apps help users understand their sleep patterns and quality. Apps like Sleep Cycle use your phone’s microphone and accelerometer to analyze your sleep stages and wake you up during your lightest sleep phase.

Apps for nutrition and diet tracking 

Measuring tape with grapes apples phone

Maintaining a healthy diet is crucial for preventive care. Nutrition apps like MyFitnessPal allow users to log their food intake, track calories, and monitor nutrient balance. These apps often include extensive food databases and barcode scanners for easy logging.

Physical activity and fitness monitoring

Fitness apps have come a long way from simple step counters. Apps like Strava or Nike Run Club can track various activities, provide workout plans, and even offer virtual coaching. Many integrate with wearable devices for more accurate data collection.

Man with sarcopenia and a cane

One study of older adults found that the Sit to Stand app can detect older adults with both frailty/pre-frailty and sarcopenia (Montemurro et al., 2024). The app was very accurate, with an 80-92% success rate. People the app identified with both frailty and sarcopenia were more likely to have other health problems like falls, hospitalization, depression, and low income. 

Early Detection: Symptom Checkers and Risk Assessment Apps

One of the most exciting developments in health apps is their potential for early disease detection. Let’s look at how these apps are helping users identify potential health issues early.

Symptom checker apps like Ada or WebMD Symptom Checker allow users to input their symptoms and receive potential diagnoses. While these apps shouldn’t replace professional medical advice, they can help users decide whether to seek medical attention. 

A study of 22 symptom checker apps had low average diagnostic accuracy rates, highlighting the need for continued improvement in this area (Schmieding et al., 2022).

Risk assessment tools for common diseases

Many apps now offer risk assessment tools for common diseases like diabetes, heart disease, or certain cancers. These tools typically use questionnaires about lifestyle factors, family history, and sometimes integrate data from other health tracking features to provide a personalized risk assessment.

Elderly woman with pills and a walker

A UK study by Reid et al. (2024) looked at how well older adults could use a digital test for dementia risk and brain function. The test was easy for participants to complete. 

Age affected all brain tests, while gender and education only impacted verbal skills. Women and those with more education did better on word-related tasks. Age was linked to lower scores on all tests, which matches what we know about aging and brain health, and could help spot early signs of brain decline.

AI-powered apps for skin cancer detection

Skin cancer detection apps are a prime example of how AI is enhancing early detection capabilities. 

Man examining a skin lesion on his arm

Apps like SkinVision use machine learning algorithms to analyze photos of skin lesions and provide a risk assessment. A study found that SkinVision had a 95.1% sensitivity in detecting malignant skin lesions (Smak Gregoor et al., 2023).

Mental health screening and mood tracking applications

Mental health apps are playing an increasingly important role in early detection of mental health issues. Apps like Moodfit or Daylio allow users to track their mood over time, potentially identifying patterns that could indicate underlying mental health concerns.

Integrating Health Apps with Healthcare Systems

The real power of health apps lies in their ability to integrate with broader healthcare systems. This integration changes how we interact with healthcare providers and manage our health data.

Apps that connect users with healthcare providers

Telehealth apps like Teladoc or Doctor On Demand allow users to consult with healthcare providers remotely. These apps have become particularly valuable during the COVID-19 pandemic, providing safe access to medical advice.

Electronic health record integration capabilities

Some health apps can now integrate with electronic health records (EHRs), allowing for seamless sharing of health data between patients and healthcare providers. This integration can lead to more informed medical decisions and better continuity of care.

Telehealth features in preventive care apps

Many preventive care apps now include telehealth features, allowing users to share their health data directly with healthcare providers and receive personalized advice. This integration of tracking and consultation features creates a more comprehensive health management experience.

Data sharing and privacy considerations

With the increasing amount of health data being collected and shared, privacy concerns are paramount. 

Health apps must comply with regulations like HIPAA to protect user data. Users should always review an app’s privacy policy and understand how their data will be used and protected.

Conclusion

Health apps for preventive care and early detection are more than just trendy tools–they’re becoming essential allies in our quest for better health. Putting the power of prevention in our pockets, these apps can help users spot potential issues early, track important health metrics, and make informed decisions about their well-being. 

While health apps are valuable, they should complement professional medical advice–not replace it. Don’t wait for a health problem to arise. Start exploring these apps, and take the first step towards a healthier, more proactive lifestyle.

References

8 Types of Preventive Care to Ensure Health Life for Seniors. (2022). EliteCare Health Centers. Retrieved from https://www.elitecarehc.com/blog/8-types-of-preventive-care-to-ensure-healthy-life-for-seniors/

Deb, T. (2024). Diet and Nutrition Apps Statistics 2024 By Tracking, Health and Wellness. Market.us Media. Retrieved from https://media.market.us/diet-and-nutrition-apps-statistics/

Deb, T. (2024). Home Gyms in Your Pocket: The Fitness App Market is on Fire, Reaching USD 4.9 Billion in 2023. Market.us Media. Retrieved from https://media.market.us/fitness-app-market-news/

Grand View Research. (2023). mHealth Apps Market Size, Share & Growth Report, 2030. Retrieved from https://www.grandviewresearch.com/industry-analysis/mhealth-app-market

Gupta, I. (2024). Trends in Telemedicine App Development 2024. iMark Infotech. Retrieved from https://www.imarkinfotech.com/trends-in-telemedicine-app-development-2024/

Jayani, P. (n.d.). The Ultimate Guide to EHR Integration for Mobile Health Apps. Blue Whale Apps. Retrieved from https://bluewhaleapps.com/blog/the-ultimate-guide-to-ehr-integration-for-mobile-health-apps

mHealth Apps Market Size | share and Trends 2024 to 2034. (2024). Precedence Research. Retrieved from https://www.precedenceresearch.com/mhealth-apps-market

Montemurro, A., Rodríguez-Juan, J. J., Martínez-García, M., & Ruiz-Cárdenas, J. D. (2024). Validity of a video-analysis-based app to detect prefrailty or frailty plus sarcopenia syndromes in community-dwelling older adults: Diagnostic accuracy study. DIGITAL HEALTH. doi.org/10.1177/20552076241232878

Reid, G., Vassilev, P., Irving, J., Ojakäär, T., Jacobson, L., Lawrence, E. G., Barnett, J. Tapparel, M., & Koychev, I. (2024). The usability and reliability of a smartphone application for monitoring future dementia risk in ageing UK adults. The British Journal of Psychiatry; 224(6):245-251. doi:10.1192/bjp.2024.18

Schmieding, M., Kopka, M., Schmidt, K., Schulz-Niethammer, S., Balzer, F., Feufel, M. (2022).

Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation. Journal of Medical Internet Research; 24(5):e31810, doi.org/10.2196/31810

Smak Gregoor, A. M., Sangers, T. E., Bakker, L. J., Hollestein, L., A., C., Nijsten, T., & Wakkee, M. (2023). An artificial intelligence based app for skin cancer detection evaluated in a population based setting. Npj Digital Medicine, 6(1), 1-8. doi.org/10.1038/s41746-023-00831-w

What is Preventive Care? (2018). ConnectiCare. Retrieved from https://www.connecticare.com/live-well/blog/wellness-and-prevention/whats-preventive-care

Nutrition and Diet Apps: Do They Really Help with Weight Loss? 

Nutrition and Diet Apps: Do They Really Help with Weight Loss? 

by Ree AI Health Tech

In an era where smartphones are our constant companions, nutrition and diet apps have emerged as popular tools for those seeking to shed pounds and encourage healthy eating habits. But when you look past the hype and cool interfaces, do they really work? 

It appears so. Research shows that users who regularly use diet and nutrition apps to track their food intake experience 10% more weight loss compared to those who don’t use such apps. 

The effectiveness of diet apps depends on many factors. Let’s explore nutrition and diet apps to learn about their true impact on weight loss and overall health.

In this article, we’ll use the terms “diet app” and “nutrition app” interchangeably.

Contents

Understanding Diet Apps

Diet apps have become a staple in the health and wellness industry, offering users a convenient way to track their nutritional intake and manage their diets. But what exactly are diet apps, and how do they work?

Checking strawberries with phone

Definition and types of diet apps

Diet apps help users track food, manage diets, and support weight loss or maintenance goals. They come in various forms, including:

  • Calorie counter apps: These apps, like MyFitnessPal, focus on helping users track calorie intake and monitor nutritional quality.

  • Recipe apps: Apps like Paprika provide healthy meal options and cooking instructions tailored to dietary preferences.

  • Niche diet tracking apps: Targeted at specific dietary needs, such as vegetarian or diabetic diets, these apps offer specialized tracking and advice.

  • Fitness apps: These integrate diet tracking with physical activity monitoring, offering a holistic approach to health management.

Most diet apps share common features that make them effective tools for users:

  • Food logging: Allows users to record meals through typing, voice logging, or photographing food items.

  • Calorie and nutrient tracking: Tracks daily intake of calories, carbohydrates, proteins, and fats.

  • Goal setting and progress tracking: Users can set weight loss goals and track their progress over time.

  • Integration with other services: Some apps offer integration with food delivery services or virtual consultations with dietitians.

Fiesta taco spread
Source: Styled Stock Society

How diet apps aim to support weight loss efforts

Diet apps support weight loss by providing users with tools to monitor their dietary habits, set achievable goals, and get feedback on their progress. They often include motivational features, such as reminders and rewards, to encourage consistent use.

By fostering awareness and accountability, these apps can help users make informed dietary choices and maintain a balanced diet.

The Science Behind Diet App Effectiveness

Diet apps are popular, but how effective are they in achieving weight loss and improving health outcomes?

Overview of research studies on diet app outcomes

Research indicates that diet apps can positively influence nutritional behaviors and health outcomes: 

  • Villinger et al (2019 found that app-based interventions improved nutrition behaviors and obesity indices, such as body mass index (BMI).

  • Meta-analyses from different studies over the past 2 decades that included 12 weight loss app trials showed that using these apps led to small, but significant weight and BMI decreases, compared to not using apps (Ufholz & Werner, 2023).

  • Another study of 14 apps for people with diabetes found similar results, especially for those who were more overweight (Ufholz & Werner, 2023).
  • Wang et al. (2016) highlighted that users consider diet apps effective in promoting healthy eating and exercise, particularly when using them consistently over time. 
Source: Market.us Media

Factors that contribute to diet app success

Everyone has their own goals and reasons for using nutrition and diet apps. What works for one person might not work for another. 

Fitness apps are more popular than nutrition apps (König et al., 2021). While we know a lot about why people use fitness trackers, nutrition apps are different, because they need more input from users, and give feedback differently. This might affect how people feel about using them (König et al., 2021).

People have different motivations for trying these apps can vary (König et al., 2021):

  • Their current health

  • What they need from the app

  • What they hope to achieve by using it
Colorful fruit and veg flatlay w phone

Several factors that contribute to an app’s success include its:

  • User engagement: Regular and long-term use of diet apps is associated with better outcomes.

  • Behavior change techniques: Effective apps often include techniques like goal setting, feedback, and social support.

  • Customization: Apps that tailor their features to individual needs tend to be more successful (Wang et al., 2016).

Weight loss apps

Many things affect how people use weight loss apps, such as:

  • Customization options

  • If it’s fun to use

  • Ease of use

  • Social feature to connect with others

  • Helpful features like:
    • Progress trackers

    • Reminders

    • Feedback 

Nutrition apps

People use nutrition apps for different reasons. Some want to:

  • Keep track of what they eat

  • Eat healthier foods

  • Gain weight
shrimp salad
Source: Styled Stock Society

For users that don’t use these apps, it’s because they (König et al., 2021):

  • Don’t think they need them

  • Prefer other methods like paper diaries

  • Would rather use their smartphones for other things

Limitations of current research on diet app effectiveness

Despite promising findings, there are limitations in the research:

  • Heterogeneity in study designs: Variations in study methodologies and outcomes make it challenging to compare results.

  • Short-term focus: Many studies focus on short-term outcomes, leaving long-term effectiveness less understood.

  • User diversity: Differences in user demographics and app usage patterns can affect results (Villinger et al., 2019).

Benefits of Using Diet Apps

Diet apps offer several advantages that can support users in their weight loss journeys.

Measuring tape with grapes apples phone

Increased awareness of calorie intake and nutritional choices

One of the primary benefits of diet apps is the increased awareness they provide regarding calorie intake and nutritional choices. 

By logging meals and tracking nutrients, users can better understand their dietary habits and make informed decisions. This heightened awareness can lead to healthier eating patterns and weight management (Ufholz & Werner, 2023).

Convenience and accessibility of tracking tools

Diet apps offer unparalleled convenience, allowing users to track their food intake anytime and anywhere. With features like barcode scanning and extensive food databases, users can easily log meals and monitor their progress. This accessibility makes it easier for individuals to stay on track with their dietary goals.

Motivation through goal-setting and progress visualization

Many diet apps include goal-setting features and visual progress trackers, which can motivate users to stay committed to their weight loss goals. By setting achievable targets and seeing their progress, users are more likely to maintain their efforts and achieve desired outcomes.

However, some users lose interest in these apps over time because they (König et al., 2021):

  • Stop seeing progress

  • Get bored

  • Find the app’s features too limited

Potential Drawbacks and Limitations

While diet apps offer numerous benefits, they also have potential drawbacks and limitations.

sliced oranges lemons grapefruit
Source: Styled Stock Society

Common challenges faced by diet app users

Despite their success, users often face challenges such as maintaining motivation, dealing with inaccurate food databases, and managing time constraints. Addressing these challenges can help users stay on track and achieve their desired outcomes (Wang et al., 2016).

Risk of obsessive behavior and unhealthy relationships with food

For some users, the constant tracking of calories and nutrients can lead to obsessive behavior and an unhealthy relationship with food. It’s important for users to maintain a balanced perspective and avoid becoming overly fixated on numbers.

Accuracy concerns with calorie counting and nutrient tracking

Woman in kitchen making a veggie plate
Source: Styled Stock Society

The accuracy of calorie counting and nutrient tracking can vary depending on the app and the user’s input. Inaccuracies in food logging can lead to misleading data, affecting the app’s effectiveness in helping users achieve their goals.

One-size-fits-all approach vs. personalized nutrition needs

Many diet apps adopt a one-size-fits-all approach, which may not cater to individual nutritional needs. Personalized nutrition plans, often developed with professional guidance, can be more effective in addressing unique dietary requirements.

Maximizing the Effectiveness of Diet Apps

To get the most out of diet apps, users should consider several strategies.

Tips for choosing the right diet app

Selecting the right diet app is crucial for success. Users should look for apps that offer features aligned with their goals, such as calorie counting, nutrient tracking, or meal planning. 

Reading reviews and trying out free versions can help users find the best fit. Users’ opinions about an app’s design, how easy it is to use, and how well it works are just as important as the information the app provides. 

For example, some users may report themes in app reviews when it is too complex, doesn’t offer enough customization, or is too focused on counting calories. These apps sometimes fail to keep users motivated for long-term weight management (Zečević et al, 2021). 

Best practices for using diet apps as part of a holistic approach

Woman standing by window looking at phone
Source: Styled Stock Society

Using diet apps as part of a holistic approach to health can enhance their effectiveness. 

This includes combining app use with regular physical activity, balanced nutrition, and mindful eating practices. Apps should be seen as tools that complement a healthy lifestyle (Wang et al., 2016).

Pick apps that integrate into your daily routine

How well a nutrition app fits into someone’s daily life can affect whether they start and keep using it. 

Some people stop using apps because they can’t use them at work, or the apps get in the way of their daily activities and social life (König et al., 2021).  So users are more likely to use apps that work well with how people usually use their smartphones. 

Create a tracking habit

Getting into the habit of using a nutrition app is important. 

Some people stop using apps because they forget about them, so apps that help users form a habit are less likely to be abandoned. To encourage people to keep using them, nutrition apps need features that help users make tracking a regular habit (König et al., 2021).

Enter accurate data

Source: Styled Stock Society

Before entering calorie information, weigh your food with a calibrated kitchen scale, or calculate the correct amount of packaged food based on the serving size on its nutritional label. If you stay honest and enter accurate data into the diet app, it will show you the real picture on your path to better eating habits.

Combine app use with professional guidance

Fitness and Weight Loss flatlay

For optimal results, users may benefit from combining app use with professional guidance from dietitians or nutritionists. These experts can provide personalized advice and help users navigate any challenges they encounter with the app.

For example, one survey found that over half of diabetes doctors recommend mobile apps to patients–usually MyFitnessPal, CalorieKing, and Fitbit (Ufholz & Werner, 2023). 

Doctors prefer apps over paper tracking because they’re:

Most apps are free, and have helpful features like barcode scanners to make calorie-counting easier.

Lessons learned from long-term app users

Woman eating salad in bowl

Long-term users of diet apps often emphasize the importance of consistency, patience, and flexibility. They recommend setting realistic goals, being open to adjusting plans, and using the app as a supportive tool rather than a strict guide (Wang et al., 2016).

Conclusion

Diet apps can be powerful allies in the quest for better health and weight management, offering convenience, insights, and motivation at our fingertips. However, their effectiveness ultimately depends on how we use them. 

By approaching these tools with realistic expectations, combining them with sound nutritional knowledge, and using them as part of a broader health strategy, we can harness their potential to support lasting lifestyle changes. The most effective diet app is the one that works for you and your unique needs. Why not give one a try and see how it could complement your health journey?

References

Bell, E. (2024). 5 Common Mistake to Avoid When Using Diet Apps. Reviewed (USA Today). Retrieved from https://reviewed.usatoday.com/health/features/diet-apps-avoid-common-mistakes

Deb, T. (2024). Diet and Nutrition Apps Statistics 2024 By Tracking, Health and Wellness. Market.us Media. Retrieved from https://media.market.us/diet-and-nutrition-apps-statistics/

Kalinin, K. (2024). How to Make a Nutrition or Diet App: Guide for 2024. Topflight. Retrieved from https://topflightapps.com/ideas/diet-and-nutrition-app-development/

König, L. M., Attig, C., Franke, T., & Renner, B. (2021). Barriers to and Facilitators for Using Nutrition Apps: Systematic Review and Conceptual Framework. JMIR MHealth and UHealth; 9(6). doi.org/10.2196/20037

Ufholz, K., & Werner, J. (2023). The Efficacy of Mobile Applications for Weight Loss. Current  Cardiovascular Risk Reports; 17, 83–90. doi.org/10.1007/s12170-023-00717-2

Villinger, K., Wahl, D. R., Boeing, H., Schupp, H. T., & Renner, B. (2019). The effectiveness of app‐based mobile interventions on nutrition behaviours and nutrition‐related health outcomes: A systematic review and meta‐analysis. Obesity Reviews; 20(10), 1465-1484. doi.org/10.1111/obr.12903

Wang, Q., Egelandsdal, B., Amdam, G. V., Almli, V. L., & Oostindjer, M. (2016). Diet and Physical Activity Apps: Perceived Effectiveness by App Users. JMIR MHealth and UHealth; 4(2). doi.org/10.2196/mhealth.5114  

Zečević, M., Mijatović, D., Koklič, M. K., Žabkar, V., & Gidaković, P. (2021). User Perspectives of Diet-Tracking Apps: Reviews Content Analysis and Topic Modeling. Journal of Medical Internet Research; 23(4). doi.org/10.2196/25160

Chronic Pain Management Apps: The Best Digital Health Tools for Relief

Chronic Pain Management Apps: The Best Digital Health Tools for Relief

by Ree AI Health Tech Med Tech

Living with chronic pain can be a daily struggle, affecting millions of people worldwide. According to the CDC, an estimated 20.9% of U.S. adults experienced chronic pain in 2021. Fortunately, technology has stepped in to offer innovative solutions, like chronic pain management apps.

These digital assistants are powerful, accessible tools to help pain sufferers track symptoms, manage medications, and find relief. In this article, we’ll discuss chronic pain management apps in detail, outlining the ways they can help improve quality of life for those who experience chronic pain.

Contents

Overview of chronic pain management

First, let’s take a look at the various digital tools available to help manage chronic pain.

Woman wearing a VR headset in a coworking space

Types of digital tools for chronic pain

Many digital tools on the market can help assess and treat chronic pain, and improve how patients access and engage with their care (Rejula et al., 2021):

  • Artificial Intelligence (AI): AI is being used more in healthcare, including for diagnosing and managing treatments. For chronic pain, AI can use data like breathing rate, oxygen levels, and heart rate to estimate pain levels and changes.
  • Remote Patient Monitoring (RPM): Tools like smartphone apps, sensors, and wearable devices can help doctors collect and track patient symptoms between appointments. 
  • Digital therapy: These are devices and methods that give patients frequent advice to improve their behaviors and habits. Most of these use an approach called cognitive behavioral therapy (CBT).
  • Virtual patient engagement: Digital communication tools can help patients be more involved in their care, no matter where they are.

Definition of chronic pain management apps

Senior woman with leg pain in chair

Chronic pain management apps are mobile applications that help people with chronic conditions like diabetes, cancer, and fibromyalgia track and control their pain. They serve as a digital companion, offering features like pain diaries, medication reminders, and educational resources. The main goal is to empower users to take control of their pain management, providing insights that can lead to better health outcomes.

How they’re different from general health apps

While general health apps focus on overall wellness, chronic pain management apps are tailored to address specific pain-related issues. They offer specialized tools like pain mapping and flare-up prediction, which are not typically found in standard health apps.

Key features and functions

Timed pill box

Chronic pain management apps come packed with features to make pain management easier:

  • Pain tracking: Users can log pain episodes, noting intensity, location, and triggers. This helps in identifying patterns and potential triggers.

  • Medication management: Apps often include reminders to take medication, ensuring adherence to prescribed treatments.

  • Educational resources: Many apps offer information on pain management techniques, such as deep breathing exercises and guided meditation.

  • Integration with wearables: Some apps sync with wearable devices to provide real-time data on physical activity and sleep patterns.

Benefits of using digital tools for pain management

Why should you consider using these apps? Here are some benefits:

  • Improved self-management: By tracking pain and related factors, users gain insights into their condition, leading to better management.

  • Better communication: Sharing app data with doctors can lead to more informed treatment decisions.

  • Convenience: Having a digital tool at your fingertips means you can manage your pain anytime, anywhere.

Top Features of Effective Pain Management Apps

When choosing a pain management app, certain features can make a big difference in how well it works. Let’s explore what to look for.

Elderly hands on smartwatch

Pain tracking 

Effective apps allow users to log pain episodes in detail. This includes noting the intensity, duration, and location of pain, as well as potential triggers. A study found that detailed pain tracking can help users identify patterns and adjust their management strategies accordingly (Zhao et al., 2019).

Medication reminders and management

Medication adherence (taking your meds as prescribed) is crucial in pain management. Apps with reminder features ensure users take their medication on time, reducing the risk of missed doses and improving overall treatment effectiveness.

Customizable pain scales and body maps

Customizable features allow users to personalize their pain assessment. This means they can adjust pain scales to better reflect their experiences and use body maps to pinpoint pain locations accurately.

Integration with wearable devices 

Integration with wearables provides real-time data on various health metrics, such as heart rate and activity levels. This data can offer insights into how lifestyle factors affect pain, allowing for more informed management decisions.

Let’s take a closer look at some of the most popular chronic pain management apps available today. These apps offer various features to help users track, manage, and understand their pain better.

Note: Prices listed in this section are accurate as of August 2024. Visit the app’s website to confirm their current pricing.

1. Pathways Pain Relief

Pathways app
Source: Pathways

Pathways Pain Relief is a web-based app created by chronic pain sufferers and pain specialists at Pathway. It aims to help users manage their pain through mind-body therapies and comprehensive pain education.

Key Features:

  • Mind-body pain therapy program

  • Meditation and mindfulness exercises

  • Physical therapy area

  • Pain and wellbeing tracking
ProsCons
Comprehensive approach to pain managementWeb-based only (no mobile app)
Created by pain sufferers and specialistsRequires internet connection
High user rating (4.6/5)

Cost: $79 (flat fee).

Use case

A chronic pain patient looking for a holistic approach to pain management, combining physical therapy, mindfulness, and pain education.

To learn more, visit:

Pathways Pain Relief

2. Curable

Curable app
Source: Curable

Curable is available on iOS, Android, and web platforms. It was founded by three individuals who recovered from chronic pain and now aim to help others access similar treatments.

Key Features:

  • Mind-body pain therapy program

  • Meditation and mindfulness area

  • Chatbot for personalized guidance
ProsCons
Available on multiple platformsLower user rating compared to some competitors (4.2/5)
Personalized guidance through chat bot
Founded by chronic pain recovery stories

Cost: $11.99 per month.

Use case

Someone interested in exploring mind-body connections in pain management, with a preference for guided, personalized experiences.

To learn more, visit:

Curable

3. Manage My Pain

Manage My Pain app
Source: Managing Life

Manage My Pain, an app created by Managing Life, is available on iOS, Android, and web platforms. It focuses on detailed pain tracking and analysis to help users understand their pain patterns.

Key Features:

  • Comprehensive tracking of pain and well-being

  • Export statistics for healthcare providers

  • Easy-to-read charts and graphs
ProsCons
Detailed pain tracking capabilitiesMay be overwhelming for users seeking simpler solutions
Shareable reports for healthcare providers
High user rating (4.4/5)

Cost: $4.99 per month for reports and educational content.

Use case

A patient who wants to keep detailed records of their pain experiences to share with their healthcare team and identify patterns over time.

To learn more, visit:

Manage My Pain

4. Migraine Buddy

Migraine Buddy app
Source: Migraine Buddy

Migraine Buddy, developed by Aptar Digital Health, is specifically designed for migraine sufferers. Available on iOS and Android, it helps users track and manage their headache and migraine symptoms.

Feedback on Migraine Buddy says the app is great for people with migraines (Gamwell et al, 2021). It lets users share info with doctors, track what causes their migraines, and what helps relieve them. It can also calculate how much migraines affect a person’s daily life. 

Key Features:

  • Migraine tracking and analysis

  • Community support features

  • Educational resources on migraines
ProsCons
Specialized for migraine sufferersNot suitable for other types of chronic pain
Strong community support
Very high user rating (4.6/5)

Cost: $0 for MigraineBuddy; $12.99 per month or $89.99 per year for MBplus.

Use case

A migraine sufferer looking to track their symptoms, identify triggers, and connect with others who have similar experiences.

To learn more, visit:

MigraineBuddy

5. CareClinic

CareClinic app
Source: CareClinic

CareClinic is available on iOS and Android. It offers a comprehensive approach to symptom tracking and treatment planning.

Key Features:

  • Symptom and treatment goal tracking

  • Daily habit monitoring

  • Medication and appointment reminders
ProsCons
Comprehensive tracking of symptoms and treatmentsMay require significant time investment for data entry
Goal-setting features
High user rating (4.6/5)

Cost: Free; they also have monthly and annual plans for premium features.

Use case

A patient managing multiple chronic conditions who needs to track various symptoms, medications, and treatments in one place.

To learn more, visit:

CareClinic

6. PainScale

PainScale app

Boston Scientific Corporation created PainScale, a highly-rated pain management app with a range of features for tracking and managing chronic pain, and educational articles. It’s available on iOS, Android, and the web. 

Gamwell et al (2021) noted that PainScale includes the very helpful techniques for managing pain, and is easy to use for various types of chronic pain. It has a daily diary where users can track their symptoms, triggers, and medications, and can be share this info with doctors. 

Key Features:

  • Pain tracking and analysis

  • Personalized pain management plans

  • Educational resources
ProsCons
Comprehensive pain management featuresLimited information available about cons
Personalized approach
High quality score in research studies

Cost: Free

Use case

A chronic pain patient looking for a well-rounded app that combines tracking, personalized plans, and education.

To learn more, visit:

PainScale

How to Choose the Right Pain Management App

Selecting the right app can be overwhelming. With so many options available, how do you pick the right app for your needs? Here’s how to make an informed choice.

Woman holding her temples

Assess your specific needs and pain conditions

Start by evaluating your specific pain conditions. Are you dealing with neuropathic pain, or is it more related to a chronic condition? Choose an app that offers features tailored to your needs.

Consider ease of use

An app should be easy to navigate. Look for a user-friendly interface that allows you to access features quickly and efficiently.

Review data privacy and security features

Data privacy is crucial. Ensure the app complies with relevant data protection regulations and offers secure data storage.

Check compatibility with other devices

Make sure the app is compatible with your smartphone, tablet, or wearable devices. Compatibility ensures seamless integration and use.

When comparing these apps, consider what features are most important to you. Do you prefer detailed tracking, or is community support more valuable? Each app offers unique benefits, so choose one that aligns with your needs. Remember to consult with your healthcare provider about incorporating these tools into your overall pain management plan.

Integrating Apps into Your Pain Management Plan

Once you’ve chosen an app, the next step is to make it a regular part of your pain management routine.

Man holding his knee in pain

Work with healthcare providers to use app data effectively

Share app data with your healthcare provider. This collaboration can lead to more informed treatment decisions and better pain management outcomes.

Combine app use with other pain management strategies

Apps should complement, not replace, other pain management strategies. Combine app use with physical therapy, medication, and lifestyle changes for optimal results.

Set realistic expectations for app benefits

Understand that while apps are helpful tools, they are not a cure-all. Set realistic expectations for what an app can achieve in managing your pain.

Tips for consistent app usage and data logging

Consistency is key. Regularly update the app with accurate information to track your progress and adjust your management strategies as needed.

Chronic pain management apps offer a ray of hope for those grappling with persistent pain. These digital tools empower users to take an active role in their pain management, providing valuable insights and support. However, these apps shouldn’t replace professional medical advice. 

By choosing the right app and integrating it into your overall pain management strategy, you can gain a better understanding of your condition and find more effective ways to cope. Embrace these technological advancements and take the first step towards a more manageable pain experience.

References

FDA Authorizes Marketing of Virtual Reality System for Chronic Pain Reduction. (2021). U.S. Food and Drug Adminstration. Retrieved from https://www.fda.gov/news-events/press-announcements/fda-authorizes-marketing-virtual-reality-system-chronic-pain-reduction

Gamwell, K. L., Kollin, S. R., Gibler, R. C., Bedree, H., Bieniak, K. H., Jagpal, A., Tran, S. T., Hommel, K. A., & Ramsey, R. R. (2021). Systematic evaluation of commercially available pain management apps examining behavior change techniques. Pain; 162(3), 856. doi.org/10.1097/j.pain.0000000000002090

Orlovich Pain MD. (n.d.). The Power of Pain Management Apps: A New Frontier in Chronic Pain Relief. Retrieved from https://orlovichpainmd.com/the-power-of-pain-management-apps-a-new-frontier-in-chronic-pain-relief/ 

Rejula, V., Anitha, J., Belfin, R. V., & Peter, J. D. (2021). Chronic Pain Treatment and Digital Health Era-An Opinion. Frontiers in Public Health; 9, 779328. doi.org/10.3389/fpubh.2021.779328

Rikard, S. M., Stahan, A. E., Schmit, K. M., & Guy Jr., G. P. (2023). Chronic Pain Amonf Adults – United States, 2019-2021. MMWR Morb Mortal Wkly Rep 2023;72:379–385. dx.doi.org/10.15585/mmwr.mm7215a1. Retrieved from https://www.cdc.gov/mmwr/volumes/72/wr/mm7215a1.htm

Zhao, P., Yoo, I., Lancey, R., & Varghese, E. (2019). Mobile applications for pain management: An app analysis for clinical usage. BMC Medical Informatics and Decision Making; 19. doi.org/10.1186/s12911-019-0827-7

Prescription Digital Therapeutics: The Future of Digital Health Solutions

Prescription Digital Therapeutics: The Future of Digital Health Solutions

by Ree AI Health Tech Med Tech

The global market for prescription digital therapeutics (PDT) is expected to grow to $17.16 billion by 2030. This growth is mainly due to the affordability of digital health technology for both healthcare providers and patients, as well as the increasing use of smartphones in both developed and developing countries.

In this article, we’ll describe PDT, its applications, benefits, and challenges.

Contents

What Are Prescription Digital Therapeutics?

Prescription digital therapeutics (PDTs) are a new class of medical interventions that leverage software to treat, manage, or prevent diseases and disorders. Unlike typical health apps, PDTs require a prescription from a healthcare provider and are subject to rigorous regulatory scrutiny.

According to the U.S. Food and Drug Administration (FDA), prescription digital therapeutics are medical devices, also called Software as a Medical Device (SaMD). The FDA review of prescription digital therapeutics is the same as the process the FDA uses to review medical devices. 

Definition and key characteristics of PDTs

PDTs are software-based treatments delivered through mobile devices, designed to address the behavioral and psychological aspects of various health conditions. These digital tools are developed based on scientific evidence and aim to provide therapeutic benefits comparable to traditional medical treatments (Phan et al., 2023). 

Source: Avalere

Examples of prescription digital therapeutics developers

This chart from Blue Matter Consulting (2023) lists 154 PDT companies.

Source: Blue Matter

How PDTs differ from wellness apps and other digital health tools

While wellness apps focus on general health and fitness, PDTs are designed to treat specific medical conditions. PDTs undergo clinical trials, and are subject to stringent regulatory processes to ensure they meet high standards of safety and effectiveness. This regulatory oversight differentiates PDTs from other digital health tools, which may not require such rigorous evaluation.

The PDT regulatory framework 

The FDA plays a critical role in the approval of PDTs. These therapeutics must demonstrate clinical efficacy and safety through rigorous trials before receiving FDA clearance. This process ensures that PDTs meet the same standards as traditional pharmaceuticals, providing healthcare providers and patients with confidence in their use (Phan et al., 2023).

The Science Behind Prescription Digital Therapeutics

PDTs are grounded in scientific research and evidence-based practices to ensure their effectiveness in treating various health conditions.

Evidence-based approaches used in PDTs

PDTs incorporate evidence-based approaches to help patients change their behaviors and manage symptoms effectively, such as: 

For instance, CBT-based PDTs can help identify and change negative thought patterns, improving mental health outcomes. A study on a PDT for opioid use disorder found it improved retention in treatment by 76% at 12 weeks compared to treatment as usual (Brezing & Brixner, 2022). 

Clinical trials and efficacy studies supporting PDTs

Lab worker

Clinical trials are essential for validating the efficacy of PDTs. These studies assess the therapeutic outcomes of PDTs compared to traditional treatments. 

For example, trials have shown PDTs can be effective in managing substance use disorders and chronic insomnia, providing real-world evidence of their clinical benefits (Brezing & Brixner, 2022).

Applications of Prescription Digital Therapeutics

PDTs offer promising solutions across a range of medical conditions, providing tailored interventions for diverse patient needs.

Mental health conditions

Therapist and patient talking on couch

PDTs are increasingly used to treat mental health disorders such as depression, anxiety, schizophrenia, and post-traumatic stress disorder (PTSD). In a randomized controlled trial, a PDT for depression reduced symptoms by 45.6% compared to 17.4% with usual treatment (Phan et al., 2023).

These digital tools provide accessible and scalable interventions, often with CBT techniques to help patients manage symptoms and improve their quality of life.

Chronic diseases

For chronic conditions like diabetes and hypertension, PDTs offer personalized management strategies. They enable continuous monitoring and data analysis, facilitating timely adjustments to treatment plans and improving patient outcomes (Phan et al., 2023).

A PDT for type 2 diabetes led to a 1.1% reduction in HbA1c levels after 6 months in a clinical trial (Phan et al., 2023).

Substance use disorders and addiction treatment

Woman sitting with hands clasped

PDTs are particularly effective in treating substance use disorders, offering structured programs that support recovery. They provide patients with tools to manage cravings and develop healthier coping mechanisms, contributing to sustained recovery. 

A couple of examples:

  • Research with 1,758 patients using a PDT for substance use disorder showed 64.1% abstinence at 12 months (Brezing & Brixner, 2022).
  • A PDT for alcohol use disorder resulted in 63% of patients reducing heavy drinking days compared to 32% receiving standard treatment (Rassi-Cruz et al., 2022).

Neurological disorders

Conditions such as ADHD and insomnia can benefit from PDTs, which offer targeted interventions to manage symptoms and improve daily functioning. For instance, PDTs for insomnia often include sleep hygiene education and relaxation techniques to enhance sleep quality.

Benefits of Prescription Digital Therapeutics

PDTs offer numerous advantages that enhance patient care and healthcare delivery.

Improved accessibility to treatment

PDTs make healthcare more accessible by providing treatments that can be delivered remotely via mobile devices. This is particularly beneficial for individuals in underserved areas or those with mobility challenges, ensuring they receive timely care.

Personalized and adaptive interventions

PDTs can be tailored to individual patient needs, offering adaptive interventions that evolve based on real-time data. This personalization enhances treatment effectiveness and patient satisfaction (Phan et al., 2023).

Real-time data collection and analysis

The ability to collect and analyze data in real-time allows healthcare providers to monitor patient progress continuously. PDTs can collect patient data continuously, providing 1440 data points per day compared to 1-4 from traditional in-person visits. This facilitates early detection of issues and enables proactive adjustments to treatment plans, improving overall outcomes (Phan et al., 2023).

Reduced healthcare costs

By providing effective and scalable interventions, PDTs have the potential to reduce healthcare costs. They can decrease the need for in-person visits and hospitalizations, making them a cost-effective alternative to traditional treatments. For example, an economic analysis estimated PDTs could save $2,150 per patient per year for opioid use disorder treatment (Brezing & Brixner, 2022).

Challenges and Limitations of PDTs

Despite their benefits, PDTs face several challenges that must be addressed to maximize their potential.

Doctor showing a patient an app in green

Federal regulation lags behind software development

Digital therapeutics (DTx) are mobile medical apps that use new tech like artificial intelligence (AI) and virtual reality (VR). They’re always changing, with new versions coming out every few months, which makes them hard to regulate. 

DTx Products 2015-2021 with Regulatory Status

A problem with a DTx app could hurt someone’s health, so to keep DTx safe for consumers without stopping progress, software companies need to self-regulate–find ways to reduce risks and follow ethical rules on their own to help patients and build trust with their doctors.

One way to self-regulate is to involve clinicians in app development. Doctors know what patients need and can spot potential problems. But surprisingly, most health apps are made without input from medical experts. A study found only 20% of health apps included input from health professionals during development (Rassi-Cruz et al., 2022). 

Data privacy and security concerns

The collection and storage of sensitive health data raise significant privacy and security concerns. Ensuring robust data protection measures is crucial to maintaining patient trust and compliance with regulations (Phan et al., 2023).

Integration with existing healthcare systems

Integrating PDTs into existing healthcare infrastructures can be complex. Seamless integration is necessary to ensure that PDTs complement traditional treatments and fit within the broader healthcare ecosystem.

Patient adherence and engagement

Black man using his blood pressure monitor at home

Maintaining patient engagement with PDTs can be challenging. 

For example, take mental health apps that use CBT or provide feedback through wearables like smartwatches. While helpful, these apps often aren’t covered by insurance, and patients may pay out-of-pocket. They often give up if they don’t see quick results. 

Ensuring that patients adhere to prescribed digital therapies is essential for achieving desired outcomes, requiring strategies to enhance motivation and commitment. Pharmacists can help by encouraging patients to stick with the apps and complete all modules (Pharmacy Times, 2024).

Reimbursement and insurance coverage issues

Securing reimbursement for PDTs remains a hurdle, as insurance companies may be hesitant to cover these relatively new treatments. Establishing clear guidelines and demonstrating cost-effectiveness may help overcome this barrier.

The Future of Prescription Digital Therapeutics

The future of PDTs is promising, with advancements in technology and expanding applications poised to enhance their impact on healthcare.

overlay with doctor and pill bottle

Emerging technologies such as artificial intelligence and machine learning are set to make a big change in PDTs. These innovations can enhance personalization and predictive capabilities, improving treatment outcomes and patient experiences.

Potential for combination therapies

Combining PDTs with traditional treatments offers a holistic approach to healthcare. This synergy can enhance therapeutic outcomes by addressing multiple aspects of a patient’s condition, providing comprehensive care (Phan et al., 2023).

Expanding applications in preventive care and wellness

PDTs hold potential for preventive care by identifying and addressing health risks early. Their application in wellness can promote healthier lifestyles and prevent the onset of chronic diseases, contributing to improved public health.

Conclusion

In digital health, PDTs offer promising avenues for improving patient outcomes, increasing access to care, and potentially reducing healthcare costs. While challenges remain, the growing body of evidence supporting PDTs suggests that they will play an increasingly important role in the future of healthcare delivery. 

As patients, healthcare providers, and policymakers alike embrace these innovative tools, we can look forward to a more personalized, accessible, and effective approach to managing a wide range of health conditions.

References

Bashran, E. (2024). Prescription Digital Therapeutics: Devices. HealthAffairs. Retrieved from

https://www.healthaffairs.org/doi/10.1377/hlthaff.2024.00159

Brezing, C. A., & Brixner, D. I. (2022). The Rise of Prescription Digital Therapeutics In Behavioral Health. Journal of Behavioral Health; 11(4), 1-10. doi: 10.1007/s12325-022-02320-0 

Global Prescription Digital Therapeutics (PDTx) Market – Industry Trends and Forecast to 2030. (2023). Data Bridge Market Research. Retrieved from https://www.databridgemarketresearch.com/reports/global-prescription-digital-therapeutics-dtx-market

Liesch, J., Volgina, D. Nessim, C., Murphy, D., & Samson, C. (2023). Blue Matter Consulting. Retrieved from https://bluematterconsulting.com/prescription-digital-therapeutics-us-market-outlook-2023/

Phan, P., Mitragotri, S., & Zhao, Z. (2023). Digital therapeutics in the clinic. Bioengineering & Translational Medicine; 8(4), e10536. doi:10.1002/btm2.10536. 

Prescription Digital Therapeutics Bring New Treatments to Healthcare. (2021). Avalere Health. Retrieved from https://avalere.com/insights/prescription-digital-therapeutics-bring-new-treatments-to-healthcare

Prescription Digital Therapeutics for Mental Health: Effectiveness, Challenges, and Future Trends. (2024). Pharmacy Times. Retrieved from https://www.pharmacytimes.com/view/prescription-digital-therapeutics-for-mental-health-effectiveness-challenges-and-future-trends

Rassi-Cruz, M., Valente, F., & Caniza, M. V. (2022). Digital therapeutics and the need for regulation: How to develop products that are innovative, patient-centric and safe. Diabetology & Metabolic Syndrome; 14. doi.org/10.1186/s13098-022-00818-9 

Wang, C. Lee, C. & Shin, H. (2023). Digital therapeutics from bench to bedside. npj Digital Medicine; 6(1), 1-10. doi.org/10.1038/s41746-023-00777-z