How to Create a Content Strategy as a Solopreneur to Build Authority and Grow Your Business

How to Create a Content Strategy as a Solopreneur to Build Authority and Grow Your Business

Content Marketing Copywriting SEO

Are you struggling with consistent content creation? Creating a content strategy as a solopreneur doesn’t have to be complicated.

While building a content strategy as a one-person business can feel overwhelming, you don’t need a big team or endless budget to create content that works.

With 72.7 million independent workers in the US in 2024, and 84% of businesses run by solopreneurs as of 2020, building a content strategy as a solopreneur is a must. This guide shows you exactly how to build a content strategy that fits your solo business, using simple steps to create content that connects with your audience and drives real results.

Contents

Why Solopreneurs Need a Content Strategy

Source: Content Hacker

What is content strategy?

Posting randomly and hoping for the best is NOT a content strategy. Creating a content strategy as a solopreneur means building a systematic approach that turns your expertise into trust, your knowledge into authority, and your consistency into customers.

A content strategy is your roadmap for creating content that builds relationships with your audience and supports your business goals. Unlike random posting, a strategic approach ensures every piece of content serves a purpose in your customer journey.

Content marketing generates 3x more leads per dollar than traditional advertising methods, making it valuable for solopreneurs working with limited budgets.

The key difference lies in having a documented plan: 80% of very successful content marketers have a documented content strategy, while only 52% of unsuccessful content marketers do.

Random posts vs. strategic content

Random posting is not a strategy—it’s like throwing darts blindfolded. Strategic content answers specific questions your audience has and guides them through their decision-making process.

Strategic content creation is the way. It involves:

  • understanding your audience
  • planning your topics
  • aligning your content with your business goals

Use high-quality content to build trust and authority

Source: Kapwing

Content marketing helps establish you as a thought leader in your industry, and quality content influences buying decisions. 58% of decision-makers spend an hour or more each week engaging with thought leadership content.

When you consistently provide valuable information, solve your audience’s problems, and share insights, you build credibility that builds their trust.

Consistent content creation has long-term benefits

Source: X-force Body

Consistency builds familiarity and reliability. When your audience knows they can count on you for valuable insights, they’re more likely to turn to you when they need your services.

Consumers favor custom content, and businesses that create content consistently see better brand recognition and customer loyalty.

Common myths about content marketing for solopreneurs

Myth 1: You need viral content to succeed.

Reality: Evergreen content that consistently provides value outperforms one-hit wonders.

Myth 2: Content marketing only works for certain industries.

Reality: 90% of all organizations use content marketing. Every business can benefit from educational, helpful content.

Myth 3: More content equals more success.

Reality: Quality trumps quantity. It’s better to post high-quality content once a month than post mediocre content every week.

Know Your Audience Before You Create Content

Source: HubSpot

Identify your ideal customer profile

Start by creating detailed buyer personas that go beyond basic demographics. Your ideal customer profile should include pain points, goals, challenges, and how they consume information.

When you understand your audience’s behavior, needs, interests, and motivations, it helps you create content that resonates with them.

Research where your audience spends time online

Different audiences prefer different platforms. B2B audiences favor LinkedIn, while creatives prefer Instagram and TikTok. Use analytics tools to identify where your current customers spend their time online.

Create simple buyer personas without complex tools

You don’t need expensive software to create effective buyer personas. Start with basic questions:

  • What problems do they face?
  • What solutions are they seeking?
  • How do they prefer to consume content?

Free templates from HubSpot and Delve AI can help you get started.

Use social media insights to understand audience behavior

Platform analytics provide valuable data about your audience’s behavior. Check metrics like:

  • engagement rates
  • peak activity times
  • content preferences

This data helps you understand what resonates with your audience and when they’re most likely to engage.

Test content ideas with your existing network

Before investing heavily in content creation, test your ideas with your existing network. Share concepts with current clients, colleagues, or social media followers to gauge interest and gather feedback.

Define Your Brand Voice and Style

Source: brandloom

Define your unique perspective and personality

Your brand voice is what sets you apart from competitors. If your business were a person, how would you describe it? Are you approachable and friendly, or authoritative and professional?

Your voice should reflect your values and resonate with your target audience.

Create simple brand guidelines for consistency

Source: Aimtal

Document your brand voice characteristics, tone variations for different scenarios, and do’s and don’ts. Brand voice guidelines should include your brand’s personality traits, audience insights, and examples of appropriate messaging.

Create style guides for consistency

To maintain high-quality content, document your brand voice, writing style, and content standards for your internal team, freelancers and other vendors to follow. Following a style guide ensures consistency and reduces the time needed for revisions.

Use storytelling to connect with your audience

Source: Hubspot

Stories create emotional connections and make your content more memorable. Share your entrepreneurial journey, client success stories, and behind-the-scenes insights. People need to connect with you before they trust what you have to say.

Maintain authenticity while staying professional

Authenticity builds trust, but maintain professionalism appropriate for your industry. Share personal insights while keeping your business goals in mind. Balance personality with expertise to build credibility.

Adapt your voice for different platforms

While maintaining consistency, adapt your voice for platform-specific audiences and formats. LinkedIn content may be more professional, while Instagram content can be more casual and visual.

Pick the Right Content Types for Your Business

Compare blog posts, videos, podcasts, and social media content

The choices of how to distribute your content are endless:

  • Blog posts are SEO-friendly and help establish authority. They’re cost-effective and can be repurposed into other formats.
  • Videos are highly engaging and can succinctly deliver complex messages.
  • Podcasts offer convenience for busy audiences and provide intimacy through voice connection.
  • Social media content enables real-time engagement and community building.

Choose content formats that align with your skills and available time. If you’re a natural writer, start with blogging. If you’re comfortable on camera, consider video content.

Consider preferred content formats

Your audience’s preferences are another factor that should guide your content format choices. B2B audiences may prefer in-depth white papers, while consumer audiences may engage more with visual content. Use surveys or analytics to understand their preferences.

Start with one or two content types before expanding

Focus on mastering one or two content types before expanding. This approach prevents overwhelm and allows you to build systems and workflows that can scale. Quality execution of fewer formats beats mediocre execution across many.

Repurpose content across different platforms

One piece of core content can be adapted for multiple platforms. You could use a portion of a blog post in a video script, social media posts, and/or email newsletter content. This strategy maximizes your content investment while maintaining consistency across channels.

Create a Content Calendar That Works

Woman looking at calendar on her computer

Plan content themes around your business goals

Your content calendar should align with your business objectives. If you’re launching a new service, create content that educates your audience about related topics. Align your content marketing goals with your overall business goals like brand awareness, lead generation, and customer retention.

Use free tools to organize your content schedule

Content calendars

Tools like Google Sheets, Trello, and Notion (my favorite!) can help you organize your content calendar to help you visualize your content pipeline and maintain consistency. Many content creators on YouTube offer free content calendar templates on platforms like Gumroad and Etsy.

Balance promotional and educational content

Follow a content mix that provides value while promoting your services. One approach is the 80/20 rule: 80% educational/helpful content, 20% promotional. For example, you could do 2 educational posts, 2 storytelling posts, and 1 promotional post each month. (And if that seems like a lot, I’m here to help!)

Plan content around industry conferences, holidays, and seasonal trends relevant to your business. This approach helps you stay relevant and capitalize on increased interest in specific topics.

While planning is important, leave room for spontaneous content that responds to industry news or trending topics. This flexibility helps you stay current and engage in real-time conversations with your audience.

Batch Content Creation for Maximum Efficiency

Content batching can help you create multiple pieces efficiently by dedicating focused time blocks to create similar content types together.

Set up dedicated content creation blocks

Source: Plannerfly

Block out specific times for content creation rather than trying to create content daily. This approach reduces task-switching and helps you maintain focus and creative flow.

Develop templates for different content types

Templates speed up the creation process and ensure consistency across your content. Create templates for blog posts, social media content, email newsletters, or whatever content you produce. Include elements like headlines, introductions, and call-to-action (CTA) sections.

Create multiple pieces of content in single sessions

Content batching can help you create a month’s worth of content in just a few hours.

During batching sessions, create multiple pieces of similar content. Write several blog posts, record multiple videos, or create a week’s worth of social media content.

Use content pillars to generate ideas quickly

A central pillar with smaller topics connected to it

Content pillars are main themes/categories that guide your content creation. They may include industry insights, behind-the-scenes content, educational tutorials, and client success stories. The Breezy Company recommends 5 content pillars:

  • educational
  • personal
  • client-focused
  • industry insights
  • promotional

Establish an organized workflow to save time

Develop a repeatable process for content creation, from ideation to publication. This may include research, writing, editing, visual creation, and scheduling. A systematic approach ensures scalability, quality, and efficiency.

Distribute Content Across Multiple Channels

Source: Ahrefs

Choose platforms where your audience is most active

Instead of spreading yourself thin across all platforms, concentrate on those where your audience is most engaged and likely to convert. Focus your efforts on the one or two channels that bring you the best return.

Customize content for each platform’s requirements

Each platform has unique requirements and audience expectations. LinkedIn posts should be professional and industry-focused, while Instagram content should be visual and engaging. Adapt your content format and tone accordingly.

Use scheduling tools to maintain consistent posting

Source: Hootsuite

Social media planning tools like Buffer, Hootsuite, and Later help you maintain consistent posting schedules without being tied to your devices. Scheduling tools can maintain consistent posting and allow you to focus on content creation instead of daily posting.

Cross-promote content between different channels

Promote your blog posts on social media, mention your podcast in your newsletter, and share social media highlights in your blog. Cross-promotion maximizes the reach of your content across your entire audience.

Track which platforms drive the most engagement

Use analytics to identify which platforms generate the most engagement, traffic, and conversions. To compare ROI, divide sales by your time and resources.

Measure Your Content Success

Source: Wordable.io

Set up simple tracking for key metrics

You can’t scale your content marketing efforts effectively without seeing your analytics. Focus on engagement, traffic and lead generation.

The formula for content marketing ROI is (Return – Investment) / Investment × 100.

Key metrics to track include:

  • website traffic
  • social media engagement
  • email subscribers
  • lead generation

Use free analytics tools to monitor performance

Source: Ecwid

Google Analytics, social media insights, and email marketing analytics provide valuable data for free!

Google Analytics helps you understand website visitor behavior, goal tracking, and provides customizable reporting.

Track metrics that align with your business goals using Google Analytics for your website, and use platform-specific analytics for social media and email.

Adjust your strategy based on what works

Regularly review your analytics to identify high-performing content and successful strategies. 33% of marketers report difficulty measuring ROI due to integration issues, so start simple and build complexity over time.

Create monthly reviews to improve your approach

Schedule monthly reviews to assess content performance, adjust your strategy, and plan for the following month. Look for patterns in successful content and replicate those elements in future pieces.

Scale Your Content Strategy as You Grow

Source: Content Marketing Institute

Content creation is often one of the first areas solopreneurs need to outsource. In a survey from Content Marketing Institute, 64% of content marketers say their greatest educational need is understanding how to create a scalable content strategy. Plan your content budget and identify tasks that can be delegated as your business grows.

Build systems and document your processes

Source: Similarweb

Create standardized processes for content creation, review, and approval.

Search engines prioritize valuable, relevant, high-quality content. Focus on creating systems that support quality while enabling increased production.

Delegate tasks outside your wheelhouse

Break down your writing process into small steps to identify which tasks to delegate while maintaining quality. Consider outsourcing the tasks that don’t require your direct expertise, which could be graphic design, editing, or content formatting.

Wrap Up

Your audience wants to hear from you, and they need to hear your unique perspective and expertise. Start with one platform, create valuable content for your audience, and gradually expand your efforts as you gain experience and resources.

Update your content strategy as your business grows. By implementing these strategies systematically, you’ll build a content marketing system that supports your business growth while establishing you as a trusted authority in your field.

The best content strategy is one you can actually stick with. Focus on progress over perfection, and watch your content strategy become a powerful engine for business growth.

References

2019 B2B Thought Leadership Impact Study. (2019). Edelman. Retrieved from https://www.edelman.com/research/2019-b2b-thought-leadership-impact-study

30+Interesting Solopreneur Statistics. (n.d.) Higo Creative. Retrieved from https://www.higocreative.com/blog/solopreneur-statistics

Content Marketing Infographic. (n.d.). Demand Metric. Retrieved from https://www.demandmetric.com/content/content-marketing-infographic

Heitzman, A. (2024). 30 Content Marketing Statistics for 2024 and Beyond. HigherVisibility. Retrieved from https://www.highervisibility.com/seo/learn/content-marketing-statistics-trends-data-strategy/

McCoy, J. (2024). ROI-driven content marketing: Aligning strategies with revenue goals. Search Engine Land. Retrieved from https://searchengineland.com/roi-driven-content-marketing-align-strategies-revenue-goals-439116

Miller, D. (2016). How Small Businesses Can Optimize Content Better for ROI. Entrepreneur. Retrived from https://www.entrepreneur.com/growing-a-business/how-small-businesses-can-optimize-content-for-better-roi/282470

Scaglione, J. (2020). The Ultimate List of Content Marketing Analytics Tools (+ Free Benchmark Report!). Media Shower. Retrieved from https://mediashower.com/blog/the-ultimate-list-of-content-marketing-analytics-tools/

Shehu, A. (2021). How to Measure the ROI of Content Marketing: A Step-by-Step Guide. CoSchedule. Retrieved from https://coschedule.com/content-marketing/content-marketing-roi

The Independent by Choice Movement: Authentic and Intentional State of Independence in America 2024. (2024). MBO partners. Retrieved from https://www.mbopartners.com/state-of-independence/

Whalen, H. (2024). 6 Tips for Scaling Up Content Production Without Sacrificing Quality. Single Grain. Retrieved from https://www.singlegrain.com/content-marketing-3/6-tips-for-scaling-up-content-production-without-sacrificing-quality/

The Impact of AI on Healthcare Cost Reduction and Resource Allocation 

The Impact of AI on Healthcare Cost Reduction and Resource Allocation 

AI Health Tech

In an era where healthcare costs are skyrocketing, AI can be a game-changer. The impact of AI on healthcare cost reduction and resource allocation has been overwhelmingly positive so far. A recent study by Accenture predicts that AI applications in healthcare could save up to $150 billion annually for the U.S. healthcare economy by 2026. 

Let’s see how AI can help reduce costs and staff human resources more efficiently.

Contents

Understanding AI’s Role in Healthcare Cost Reduction

Definition of AI in healthcare 

Artificial Intelligence (AI) in healthcare uses complex algorithms and software to analyze, interpret, and understand complicated medical and healthcare data. AI technologies such as machine learning (ML), natural language processing (NLP), and predictive analytics integrated into various healthcare processes can enhance efficiency and accuracy.

U.S. healthcare costs

Source: American Medical Association

By 2031, almost 20% of U.S. spending will be on healthcare, which is a lot compared to other wealthy countries.

Healthcare costs are a major burden for families in the U.S. According to the Kaiser Family Foundation, about half of American adults find it difficult to afford healthcare costs

24% have had problems paying for healthcare premiums, deductibles, or copays in the past year. That number is 33% for those in poor health. These high expenses often lead to delayed care, skipped medications, and financial strain. 

About 100 million people in America have serious medical debt. They often rely on savings, credit cards, and side jobs to make up the slack. This financial pressure underscores the need for cost-effective solutions.

Helping more people afford health care often means the government spends more money. On the other hand, trying to reduce overall spending might increase costs for individuals. This makes health care policy very challenging, with no easy solutions.

Key areas where AI can impact costs

AI can cut healthcare costs in many ways, such as:

  • Administrative Efficiency: Automating routine tasks such as data entry and claims processing can save time and reduce errors.
  • Diagnostic Accuracy: AI can improve diagnostic accuracy, reducing the need for unnecessary tests and treatments.
  • Predictive Analytics: AI can predict patient outcomes and optimize resource allocation, reducing waste and improving care efficiency.

Labor costs are the greatest expense hospitals have, as shown in the following chart.

Source: American Hospital Association (AHA) and Strata Decision Technology

A McKinsey/EIT Health report shows that tasks by several healthcare occupations can be at least partially automated by 2030, providing more cost savings to healthcare organizations. 

Next, let’s look at how AI can improve resource management in hospitals.

AI-Driven Resource Allocation in Hospitals

Facility management

AI can make hospital buildings run smoother by controlling temperature systems to save energy and keep patients comfortable. It also spots equipment problems early, avoiding breakdowns and saving money on repairs (Varnosfaderani & Forouzanfar, 2024). 

Predictive analytics for patient flow and bed management

Empty recovery room

Managing patient flow and bed use is also key for hospital efficiency. AI-driven predictive analytics can predict patient admissions, discharges, and bed availability, allowing hospitals to optimize their resources. 

Hospitals can manage their emergency services with efficiency if they can predict how many emergency patients will come in. They currently use simple guessing methods based on past patterns. 

Hospitals could use real-time patient data from electronic health records (EHRs) to make short-term predictions about bed needs. This ensures that beds are available when needed, reduces the time patients spend waiting for care, and avoids cancelling planned surgeries (King et al., 2022).

Staff scheduling optimization

Using AI for scheduling can reduce overtime costs and prevents staff burnout, leading to better patient care and lower operational costs.

AI can analyze historical data and predict staffing needs, ensuring that hospitals have the right number of staff at the right times. This includes scheduling medical procedures to maximize the use of operating rooms and staff, while minimizing patient wait times (Varnosfaderani & Forouzanfar, 2024). 

Equipment and supply chain management

AI can streamline equipment and supply chain management by:

  • Studying trends 
  • Predicting demand 
  • Optimizing inventory levels 
  • Automating orders

This reduces the risk of shortages and overstocking to cut waste, save money, and ensure that necessary supplies are always available. In emergencies, AI quickly figures out what’s needed and helps get resources where they’re most important (Varnosfaderani & Forouzanfar, 2024). 

Clinical documentation is ever-present in healthcare. Let’s discuss how AI can streamline admin tasks.

Streamlining Administrative Processes with AI

Doctor on the phone

Automating paperwork and data entry

Administrative tasks like paperwork and data entry take time and are prone to errors. But AI can read and sort different forms and reports quickly. 

AI can automate these processes to save time, free up staff to focus on more critical tasks, and reduce the likelihood of mistakes (Varnosfaderani & Forouzanfar, 2024). 

Improving billing accuracy and reducing errors

It takes time and expense to fix billing errors. A study in the insurance industry showed that ML can improve insurance estimates better than traditional methods (Baudry & Robert, 2019). 

AI can improve hospital billing and insurance claim accuracy by automating the coding process and identifying discrepancies before they become issues. This leads to quicker reimbursements and fewer denied claims.

Enhancing insurance claims processing

AI can streamline the insurance claims process by automating the verification and approval of claims. This reduces the time it takes to process claims and improves customer satisfaction by minimizing delays and errors.

Beyond administrative tasks, AI is also making significant strides in improving patient care and treatment.

AI in Diagnostic Accuracy and Treatment Planning

Brain scans

Reducing misdiagnosis rates and associated costs

Misdiagnoses can lead to unnecessary treatments and additional costs. AI can analyze medical data with high accuracy, reducing the likelihood of misdiagnoses and ensuring that patients receive the correct treatment the first time (Khanna et al., 2022).

Personalized treatment recommendations

AI can provide personalized treatment recommendations based on a patient’s medical history and current condition. This ensures that patients receive the most effective treatments, improving outcomes and reducing costs associated with trial-and-error approaches (Alowais et al., 2023).

Early disease detection and prevention strategies

Early detection of diseases can significantly reduce treatment costs and improve patient outcomes. AI can analyze large datasets to identify early signs of diseases, allowing for timely interventions and preventive care (Alowais et al., 2023).

AI can also help diagnose illnesses and assess symptoms with virtual methods in telemedicine and telehealth.

Telemedicine and Remote Patient Monitoring

Phone with chatbot conversation

AI-powered virtual health assistants

Virtual health assistants powered by AI can provide patients with medical advice, schedule appointments, and answer health-related questions. This reduces the need for in-person visits and allows healthcare providers to focus on more complex cases.

Chronic disease management via remote monitoring

AI can monitor patients with chronic diseases remotely, also called remote patient monitoring (RPM). When AI analyzes data from wearable devices, it can notify healthcare providers about any concerning changes to trigger an alert. This proactive approach reduces hospital visits and readmissions, saving costs and improving patient quality of life.

Reducing unnecessary hospital visits and readmissions

By providing continuous monitoring and early intervention, AI can help prevent complications that would otherwise require a patient to return to the hospital. This not only improves patient outcomes, but also reduces the strain on healthcare facilities.

Challenges and Considerations in AI Implementation

Doctor shows tablet to nurse

Initial investment and integration costs

Implementing AI in healthcare requires a high upfront investment in technology and training. While the long-term benefits can outweigh these costs, the initial financial burden can be a barrier for some healthcare providers.

Data privacy and security concerns

AI systems handle vast amounts of sensitive patient data, raising concerns about privacy and security. To implement these systems successfully, healthcare organizations must comply with regulations and protect patient information (Alowais et al., 2023).

Workforce adaptation and training needs

Integrating AI into healthcare workflows requires training staff to use new technologies effectively. This can be challenging, particularly for those who are less familiar with digital tools. Ongoing education and support are essential to ensure that healthcare professionals can leverage AI to its full potential (Alowais et al., 2023). 

Future Outlook: AI’s Long-term Impact on Healthcare Economics

Projected cost savings and efficiency gains

AI has the potential to generate significant cost savings and efficiency gains in healthcare. By automating routine tasks, improving diagnostic accuracy, and optimizing resource allocation, AI can reduce operational costs and enhance patient care (Khanna et al., 2022).

Potential shifts in the healthcare job market

Integrating AI in healthcare systems causes a shift in the job market. While some administrative roles may become redundant, new opportunities will emerge in AI development, data analysis, and technology management. Healthcare professionals will need to adapt to these changes and acquire new skills.

Ethical considerations and policy implications

The use of AI in healthcare raises ethical considerations, such as ensuring fairness in AI algorithms and addressing potential biases. Policymakers should establish guidelines and regulations to ensure that we use AI responsibly and equitably in healthcare (Alowais et al., 2023).

Conclusion

AI’s impact on cost reduction and resource allocation in healthcare is profound and far-reaching. From streamlining administrative tasks to enhancing diagnostic accuracy, AI technologies are valuable allies in the quest for more efficient and affordable healthcare. Successful implementation will require careful planning, ethical considerations, and a commitment to ongoing innovation. 

As AI continues to evolve, its long-term impact on healthcare economics will depend on how effectively these challenges are addressed and how well healthcare providers can integrate AI into their workflows. By embracing AI responsibly, healthcare providers can work towards a future where high-quality care is more accessible and affordable for all.

References

Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., Aldairem, A., Alrashed, M., Saleh, K. B., Badreldin, H. A., Al Yami, M. S., Harbi, S. A., & Albekairy, A. M. (2023). Revolutionizing healthcare: The role of artificial intelligence in clinical practice. BMC Medical Education, 23. doi.org/10.1186/s12909-023-04698-z 

Altman, D. (2024). The Two Health Care Cost Crises. Kaiser Family Foundation. Retrieved from https://www.kff.org/from-drew-altman/the-two-health-care-cost-crises/

America’s Hospitals and Health Systems Continue to Face Escalating Operational Costs and Economic Pressures as They Care for Patients and Communities. (2024). American Hospital Association (AHA). Retrieved from https://www.aha.org/costsofcaring

Baudry M., & Robert C.Y. (2019). A machine learning approach for individual claims reserving in insurance. Applied Stochastic Models in Business and Industry; 35:1127–1155. doi:10.1002/asmb.2455

Collier, M., & Fu, R. (2020). AI: Healthcare’s new nervous system. Accenture. Retrieved from https://www.accenture.com/au-en/insights/health/artificial-intelligence-healthcare

Hasa, I. (2024). From Data to Decisions: AI-driven Healthcare Resource Optimization. LinkedIn Pulse. Retrieved from https://www.linkedin.com/pulse/from-data-decisions-ai-driven-healthcare-resource-inamul-hasan-m-sc–stzaf

Khanna, N. N., Maindarkar, M. A., Viswanathan, V., E Fernandes, J. F., Paul, S., Bhagawati, M., Ahluwalia, P., Ruzsa, Z., Sharma, A., Kolluri, R., Singh, I. M., Laird, J. R., Fatemi, M., Alizad, A., Saba, L., Agarwal, V., Sharma, A., Teji, J. S., Al-Maini, M., . . . Suri, J. S. (2022). Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment. Healthcare, 10(12). https://doi.org/10.3390/

King, Z., Farrington, J., Utley, M., Kung, E., Elkhodair, S., Harris, S., Sekula, R., Gillham, J., Li, K., & Crowe, S. (2022). Machine learning for real-time aggregated prediction of hospital admission for emergency patients. Npj Digital Medicine, 5(1), 1-12. doi.org/10.1038/s41746-022-00649-y

Lopes L., Montero A., Presiado, M., & Hamel, L. (2024). Americans’ Challenges with Health Care Costs. Kaiser Family Foundation (KFF). Retrieved from https://www.kff.org/health-costs/issue-brief/americans-challenges-with-health-care-costs/

M, N. (2023). Artificial Intelligence (AI) in Healthcare Claims Processing. Nanonets. Retrieved from https://nanonets.com/blog/ai-healthcare-claims-processing/

McDill, V. (2024). New Study Will Explore Whether Artificial Intelligence Reduces Healthcare Spending and Impacts Health Outcomes. University of Minnesota School of Public Health. Retrieved from https://www.sph.umn.edu/news/new-study-will-explore-whether-artificial-intelligence-reduces-healthcare-spending-and-impacts-health-outcomes/

Spatharou, A., Hieronimus, S., & Jenkins, J. (2020). Transforming healthcare with AI: The impact on the workforce and organizations. McKinsey & Company. Retrieved from https://www.mckinsey.com/industries/healthcare/our-insights/transforming-healthcare-with-ai

Trends in health care spending. (2024). American Medical Association (AMA). Retrieved from https://www.ama-assn.org/about/research/trends-health-care-spending

Varnosfaderani, S. M., & Forouzanfar, M. (2024). The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century. Bioengineering, 11(4). doi.org/10.3390/bioengineering11040337