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I chose healthcare because it touches everyone in the aspect of AI. When tech helps doctors and nurses real people get better care. AI is already part of hospitals and clinics. It can read medical images like X-rays and CT scans, watch patient vitals with wearables and help pick the best medicine for a person. AI tries to make care faster, safer and more personal. Studies show AI tools in imaging can save time and catch problems earlier although they still need careful human oversight.

In my Padlet I’ll show three clear use cases:

Diagnostic imaging: AI helps flag tumors or bleeding so radiologists can look sooner.

Personalized medicine: Tools like Tempus use data from labs and records to match patients to targeted drugs or trials.

https://www.tempus.com/

Patient monitoring: Companies such as Medtronic use AI with sensors to track chronic conditions between visits, which can alert the care team before things get serious.

AI isn’t perfect but it learns from data, so if the data are biased or messy the tool can be unfair or wrong. We need strong rules for safety privacy and equity, and the FDA keeps a running list of AI medical devices it has cleared. That helps hospitals know what’s trustworthy.

Overall, I’m interested in healthcare AI because it mixes science and empathy. If we build it with care and test it well, making it fair, and keeping humans in it. We can help more people get the right care at the right time.

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With the world's largest library of clinical and molecular data, and an operating system to make that data accessible and useful, we enable physicians to make real-time, data-driven decisions to deliver personalized patient care, and in parallel, facilitate discovery, development, and delivery of optimized therapeutic options for patients through distinctive solution sets.

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With the world's largest library of clinical and molecular data, and an operating system to make that data accessible and useful, we enable physicians to make real-time, data-driven decisions to deliver personalized patient care, and in parallel, facilitate discovery, development, and delivery of optimized therapeutic options for patients through distinctive solution sets.

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Ex1: AI in Diagnostic Imaging(Radiology)

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Ex1: AI in Diagnostic Imaging(Radiology)

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What it is: AI models review images to highlight areas that may show cancer, fractures, or even a stroke.

Tech used: Deep learning trained on thousands of labeled images.

Benefits: Faster triage and fewer misses and more consistent reads. Real world studies show the workflow gains and accuracy support when used

Limits/risks: Needs high quality diverse data. False alarms can add work; final call should remain with clinicians. The FDA tracks cleared AI imaging tools to guide safe use.

Image idea: CT scan with AI heat map overlay.

https://www.youtube.com/watch?v=76LqIY7uL2w

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Center for Devices and Radiological Health

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The AI-Enabled Medical Device List is a resource intended to identify AI-enabled medical devices that are authorized for marketing in the United States.

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What it is: Platforms like Tempus bring together genetic tests and clinical records, and research to match patients especially for those with cancer to targeted drugs or trials.

Tech used: Machine learning and large real world dataset some tools also use natural language processing to read notes.

Benefits: More tailored treatment options and quicker trial matching; programs like TEmpus +.

Limits/risks: Data privacy uneven access at smaller hospitals and bias if datasets don’t represent all groups.

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AI to Guide Precision Oncology in Solid Tumors | AI & Healthcare | Olivier Michielin

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What it is: Wearables and implanted sensors track things like heart rhythm and glucose. AI analyzes the stream to spot risky patterns.

Tech used: Time series ML and alert systems integrated with clinician dashboards.

Benefits: Earlier warnings, fewer ER visits, and personalized coaching for chronic diseases. Reviews highlight how continuous data can improve management.

Limits/risks: Battery connectivity, and false alerts equity concerns if devices don’t work as well across skin tones or body types. Companies such as Medtronic describe efforts to improve accuracy with AI.

https://pmc.ncbi.nlm.nih.gov/articles/PMC11461032/

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Khaled Al Zaman khaledalzamangmail.com ✉Corresponding author.

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The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review

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Wearable health devices are becoming vital in chronic disease management because they offer real-time monitoring and personalized care. This review explores their effectiveness and challenges across medical fields, including cardiology, respiratory…

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Future Trends And Ethical Considerstions

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Future Trends And Ethical Considerstions

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Trends i see that might be coming.

- generative AI assistants that draft notes after visit summaries, and discharge instructions to reduce burnout.

- Multi modal models that combine images, text, labs, and sensor data to give a fuller picture of a patient.

- Predictive imaging which uses patterns in scans to forecast tumor type or treatment response, helping doctors plan sooner

- More FDA cleared tools and clearer pathways for updates as models learn over timee

https://www.nature.com/articles/s41746-025-01791-z

https://www.who.int/publications/i/item/9789240084759

Ethical points we should pay attention too.

Bias and fairness- Some medical tools have shown accuracy gaps for darker skin, reminding us to build and test AI on diverse data.

Privacy and consent- Health data are sensitive so people must know how their data are used.

Transparency and accountability- Patients deserve to know when AI is involved, and humans must stay responsible for final decisions.

Safety and monitoring: Hospitals should track performance after deployment

My take is that AI should definetely help, but not replace, clinicians. If we follow principles and protecting human autonomy, promoting well being, being transparent and making systems fair. AI can earn trust and do real good.

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Predictive techniques in medical imaging: opportunities, limitations, and ethical-economic challenges - npj Digital Medicine

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Predictive techniques in medical imaging offer transformative opportunities for early diagnosis and personalized care but raise complex ethical, legal, and economic challenges. This paper explores current advancements, regulatory implications, and risks such as overdiagnosis, alert fatigue, and information overload, emphasizing the urgent need for multidisciplinary frameworks to ensure responsible implementation and sustainable integration into healthcare systems.

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Jobs and skills- AI won’t remove the need for doctors and nurses but it sure dpes change work. Routine tasks can be automated, while people focus on judgment, empathy and complex cases. Health systems are already training staff to use these tools well.

https://www.mckinsey.com/mhi/our-insights/heartbeat-of-health-reimagining-the-healthcare-workforce-of-the-future

Access and equity- AI powered telehealth and remote monitoring can help rural and busy clinics reach patients sooner. But if tools work better on some groups than others gaps could grow. That’s why testing across diverse populations matters and why we need public reporting on performance.

Safety and trust- FDA clearance and hospital oversight can lower risk but people should still be told when AI is used and how their data are protected. Clear consent should be used to build trust.

Costs: In the long run catching problems earlier and avoiding readmissions can save so much money. In the short run, buying and maintaining AI systems can be expensive, so hospitals should prove value with real outcomes.

My view- AI in healthcare is like a powerful tool kit. In the right hands, it speeds up care and makes it fairer. The goal is smart adoption to test it, explain it, and keep people at the center.

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At a glance

A global healthcare worker shortage of at least ten million is expected by 2030.

Closing that shortage could avert 189 million years of life lost to early death and disability and boost the global economy by $1.1 trillion.

While known supply-side interventions that enable the workforce to grow, thrive, and stay can add about 5.6 million healthcare workers, this is not enough to close the gap. Closing it will require transforming healthcare service delivery-reimagining who provides healthcare, how services are delivered, and where care is accessed.

Over the last century, people have lived longer, yet the portion of life spent in poor health remains unchanged, resulting in more years battling chronic and infectious diseases. Individuals face a growing reality: Access to healthcare professionals when one is sick, elderly, or in pain can no longer be taken for granted.

Addressing the healthcare worker shortage is an opportunity to profoundly advance health worldwide, adding years to life and life to years. McKinsey Health Institute's analysis finds that closing this shortage could avert 189 million years of life lost to early death and lived with disability, accounting for 7 percent of all disease burden (see appendix, "Disease burden and GDP impact sizing methodology"). To put this into context, closing the shortage would have as much positive benefit as eliminating the disease burden stemming from maternal and neonatal morbidity and mortality conditions.

The healthcare workforce needs attention, investment, and innovation. In this report, MHI considers how to address the healthcare worker shortage by not only increasing the supply of healthcare workers but also fundamentally reimagining the "who," "how," and "where" of healthcare service delivery.
Four country archetypes represent how challenges and priorities differ based on healthcare workforce dynamics.
Countries can be categorized based on whether they have enough healthcare workers relative to population needs and enough employment opportunities for new and existing healthcare professionals. Either of these may reflect deeper challenges such as economic, educational, or policy constraints. To help stakeholders frame potential opportunities for improvement, MHI's analysis categorized countries by these two dimensions to define four archetypes (Exhibit 3):

Examination of these archetypes shows that each comes with its own challenges. More than half of all countries, representing 71 percent of the global population, are worker-scarce countries, with a low number of healthcare workers relative to the population but many open healthcare jobs. These countries have a median of 98 healthcare workers per 10,000 population. These are mostly middle-income countries across Latin America, Asia, and the Middle East. For example, Peru has fewer than 400,000 healthcare workers supporting a population of about 30 million, and there are 1.3 jobs for every healthcare worker. Because worker-scarce countries have capacity to absorb new healthcare workers, investments in training capacity are especially critical.

Worker- and job-scarce countries- those with the dual challenge of not enough healthcare workers and not enough available healthcare jobs to meet population health needs-include 42 countries, mostly low- and middle-income countries on the African continent. They have a median of 32 healthcare workers per 10,000 population, less than one-third the global median. These countries experience poorer health outcomes than the rest of the world: an individual's median health-adjusted life expectancy is 55 years, compared with a global median health-adjusted life expectancy of 63 years, and their disease burden is nearly a third higher than the global median. These countries' primary challenge is economic conditions that limit the ability to finance health systems, build critical infrastructure, train staff, and provide living wages for healthcare workers.

Worker-advantaged countries, where relatively more healthcare workers serve their populations than the global median but some healthcare jobs are unfilled, include 47 countries, primarily in North America and Europe. These countries have more than three times the global median of healthcare workers per capita and more than ten times the median of worker- and job-scarce countries. They typically have better health outcomes, with an average health-adjusted life expectancy at birth of 70 years, compared with the global median of 63 years, with a roughly 8 percent lower disease burden. The largest opportunity in these countries is to support healthcare worker effectiveness, which can lead to increased healthcare worker capacity. But even in these countries, substantial disparities in the distribution of healthcare workers may persist.

Worker-surplus countries have more trained healthcare workers than available jobs. While this phenomenon may occur on a subnational level, no countries currently fit this archetype. Everyone bears the burden of the shortage.

A country cannot change from a scarcity archetype solely by adding more healthcare workers. Rather, countries need a broader lens that accounts for investment, regional and national priorities, and infrastructure.
Scaling known interventions from the Healthcare Workforce Triangle can enable the workforce to Grow, Thrive, and Stay.
How could public- and private-sector entities come together to strengthen the healthcare workforce in ways that reflect their country's needs? In this report, MHI focuses on three types of strategies, which form what we call the Healthcare Workforce Triangle (Exhibit 4):

Grow. Expand the talent pipeline by reimagining training program structure, timing, and scale.

Thrive. Free up healthcare workers' time to focus on delivering quality care to more patients.

Stay. Improve retention of healthcare workers by addressing the root causes of burnout and attrition.

Together, these interventions can improve the supply of healthcare workers, adding more than 5.6 million workers to the global healthcare workforce.

Grow: Expand the talent pipeline by reimagining the structure, timing, and scale of training

Expand enrollment capacity with additional training sites and educators

Expanding the pipeline will likely necessitate increasing school capacity and attracting additional educators. This involves assessing the specific needs of a country based on its archetype and introducing a range of educational opportunities for prospective healthcare workers, such as pharmacists, imaging technicians, nurses, and more.

Add additional schools and sites to train the next generation. A shortage of training opportunities, including limited positions in medical schools, nursing programs, and clinical training sites, limits the number of healthcare professionals entering the workforce. Some countries are addressing this challenge through policy initiatives that expand training infrastructure, particularly in underserved municipalities.For instance, Brazil established over 160 new medical schools from 2013 to 2023, expanding its physician graduate population. This expansion helped increase Brazil's primary-care physician workforce by 12 percent, which has been associated with a 1.4 percent reduction in mortality. Other strategies to expand training sites include establishing centers of excellence for specialized training and forging partnerships between governments and private hospitals to expand residency slots, as India and Tanzania have done.

Adopt innovative training approaches

To address the healthcare workforce shortage, it may be necessary for countries to reassess the duration of certain educational programs or explore methods for accelerating student training. This could also involve integrating innovative technologies, such as virtual reality simulations and AI-driven learning platforms.

Shorten program duration to increase the number of annual graduates. Shorter, innovative training models should still focus on quality while acknowledging that accelerated programs can ease the financial burden on students. In the United States, accelerated nursing program graduates nearly doubled between 2013 and 2023, adding about 8,000 nursing graduates annually. The accelerated bachelor of science in nursing (ABSN) allows students to start working after a 12- to 18-month training period-half the training time of traditional programs. Other countries offering accelerated nursing programs include Australia, Canada, and New Zealand. In the United Kingdom, the National Health Service offers accelerated programs for specialties such as speech and occupational therapy, nursing, and physiotherapy. This can make it easier for nurses to start jobs and has helped attract professionals from a diverse range of fields while maintaining the rigor and quality of training.

Employ digital methods to improve training completion and licensure rates. Scalable tech-enabled training approaches, such as those that utilize mobile learning applications, e-learning platforms, and content production studios, can help bridge critical training gaps, particularly in low- and middle-income countries. In Uganda, for example, integrating interactive displays into medical training not only improved access to quality training in remote areas but also improved training outcomes for healthcare professionals.

Thrive: Free up healthcare workers' time to focus on delivering quality care to more patients

Ensure the right tasks are completed by the right people at the right time and in the right place

Even when recruitment and retention efforts are robust, both health workers and patients benefit from modernizing care delivery. This often includes task-sharing and technology-enabled tools, such as AI.

Scale use of tech-enabled tools to free up healthcare workers' time

Increase the automation of tasks. AI technology has emerged as a useful tool to shorten time-intensive manual tasks that take away from patient care. One start-up in India has helped primary-care physicians reduce by 72 percent the time they spend reviewing their own notes and determining the appropriate billing code. A study in the United Kingdom found that AI-assisted clinical documentation could reduce consultation length by 26 percent while maintaining patient interaction time and improving documentation accuracy. McKinsey has estimated the opportunity for gen AI in life sciences to have up to $7 billion of value in operations and up to $30 billion of value in commercial life sciences, ranging from real-time inventory optimization to medical review and customer support. For example, some health systems are automating administrative tasks such as reading invoices and faxes for medications-which used to be done manually by pharmacy staff. Collectively, these automation strategies can reduce the administrative burden on clinicians and free up their time for more rewarding and relevant patient care.

These thoughtfully implemented technologies, protected by robust patient safety and privacy safeguards, can enhance the overall patient experience and improve the healthcare worker experience. Healthcare professionals-such as a midwife who can focus on delivering babies rather than being overwhelmed by postpartum paperwork, or a physician who can initiate HIV and tuberculosis treatment without delay-are more likely to find purpose in their work and stay in their profession.

Stay: Improve retention of healthcare workers

Reactivate and reenergize existing healthcare workers

Healthcare leaders embarking on culture transformations have to introduce and embed new rituals and ideas into the workplace, actively exposing individuals to best practices they might not have previously considered. Reducing the violence against healthcare workers, improving workplace culture and prioritizing employee well-being, and creating more societal appreciation for healthcare workers are only three of the topics.

Improve workplace culture and well-being. As discussed in previous MHI research, there is considerable economic benefit to investing in employee health and embedding it into organizational culture. For all industries, this may include flexible working schedules, investment in leadership training, job crafting and redesign, and digital programs on workplace health. These interventions can be most effective when employers also invest in the root causes of burnout, such as addressing overwork. In healthcare, an analysis of US hospitals found that most offer physical activity and nutrition programs and chronic disease health screenings, and two-thirds of larger hospitals offered lactation support. Some employers have already realized a positive return on their investments in employee health, including avoiding attrition costs, which could be as high as $1 million per US physician.

Invest in talent localization

As organizations recruit for qualified healthcare personnel, they may explore strategies to develop their own local talent pipelines. This includes addressing the issues of "brain drain" and rural-urban migration challenges.

Reduce rural-urban disparities. The brain drain can also occur within a country. Such a phenomenon, also known as "human capital flight," can hurt rural areas, which are often chronically underserved by healthcare workers. In South Africa, for example, only 19 percent of nurses are based in rural areas, which account for 46 percent of the population.
Innovation in who delivers healthcare, how, and where can transform service delivery and help meet the demand for workers.
The healthcare workforce shortage cannot be solved by merely adding more healthcare workers. Chapter 2 illustrates how supply-side strategies could add about 5.6 million more workers to the global healthcare workforce, but that still leaves almost half the shortage unfilled.

A radical shift in the "who," "how," and "where" of healthcare delivery could help patients move from higher-acuity settings that require intensity of healthcare workers-such as intensive care units-to lower-acuity settings, such as community clinics. The goal would be to prioritize primary and preventive care, including by making it a part of individuals' daily lives. In the short term, this may increase demand for care in lower-acuity settings. However, the long-term effects could ultimately decrease patient demand, particularly in high-acuity, resource-intensive environments, while also improving overall patient health management and outcomes. These innovations could include the following:

Who: Everyone can be their own healthcare worker. Empowering patients to receive care at home and in their community, and to stay physically and mentally active, can assist in preventing and managing disease outside of traditional higher-acuity medical settings.

How: People find the right care before disease progression. Next-generation AI- and technology-enabled tools could encourage clinical touchpoints earlier in disease progression to avoid resource-intensive care.

Where: Low-barrier healthcare touchpoints are embedded within daily life. Introducing more screenings, treatments, and community health resources in everyday locations could boost early intervention and preventive services.

Who: Everyone can be their own healthcare worker

The future of healthcare delivery demands a fundamental shift in how society defines healthcare workers. In the future, individuals may increasingly take on roles such as their own bankers, travel coordinators, or educators, if they have not done so already. They can also act as their own healthcare worker or navigator. In the future, patient-provider boundaries blur, and healthcare careers can start at any time. The healthcare workforce of tomorrow includes every individual, as well as cohorts of individuals emerging from retirement. The future healthcare workforce-which spans traditional clinicians, community health workers, caregivers, and individuals managing their own health-will identify and address potential health concerns at their earliest, most treatable stages, benefiting patients and unburdening the system from preventable acute-care episodes that currently overwhelm limited resources.

These efforts recognize that a patient with a search engine is not the same as a healthcare worker with years of training and experience. The two roles are meant to complement each other, with everyone encouraged to share responsibility for better health outcomes.

Dramatically improve health literacy and ownership of one's health journey

Provide learning opportunities and tools so individuals and families can manage disease at home

Reimagine drug delivery and shift to self-administration

Self-injectables might initially increase healthcare professionals' workloads for patient safety training and follow-ups. However, the healthcare system could ultimately benefit from reduced strain as costly chronic disease visits are prevented over time. The balance lies in creating safe systems that prevent errors and require minimal healthcare worker oversight.

Healthcare's future transcends hospital walls. It thrives when individuals become their own first-line providers, equipped with clinical guidance, community support, and the knowledge to transform from passive patients into active stewards of their well-being.

Reinvest in retirees, engaging older adults as healthcare workers

How: People find the right care before disease progression

These efforts do not imply increasing low-value care-healthcare services or diagnostics with minimal or no clinical benefit. Rather, a technology-enabled approach can help identify when early intervention is appropriate and match patients with the right professionals based on their unique needs.

Invent and scale diagnostic tools that encourage appropriately early clinical touchpoints to avoid high-acuity treatment later

These innovations, combined with traditional wearables that track vital signs and activity patterns, can embed a comprehensive early-warning system into daily life and reduce the need for acute care. All systems must continue to protect patient privacy and safety, and they must avoid making excessive promises about improving health for all users. Instead, they can be viewed as tools to enhance patients' daily health and increase healthcare worker capacity.

Match patients with the right healthcare professional the first time to speed up access to appropriate treatment plans

Advanced matching systems could match patients with the most appropriate healthcare professionals, reducing unnecessary appointments and ensuring patients get the right care at the right time and at the right site. This could also prevent complications that would otherwise require costly interventions and multiple future visits.

Where: Low-barrier healthcare touchpoints are embedded in daily life

Healthcare must shift to more diverse sites of care to meet the complex health challenges of today. One promising approach involves seamlessly integrating healthcare services into the fabric of daily life-transforming routine activities such as going into an office or school attendance into health engagement opportunities. This could make it easier to receive care by creating multiple touchpoints for early intervention and preventive services. Ultimately, this could reduce the number of people that need to see a doctor or land in a hospital for high-acuity care, improving health outcomes.

Strategically locate health screenings and other basic assessments to catch disease before it progresses

Communities can also consider placing nutritionists or community health workers in supermarkets in neighborhoods with a high prevalence of obesity. These healthcare professionals could provide personalized meal planning, offer guidance on nutrition literacy, and help identify at-risk individuals through basic health assessments and co-morbidity screenings. This novel placement of health services could transform routine grocery shopping into an opportunity not only for health education, but also for early intervention.

Integrate healthcare into workplaces to lower barriers to basic services

Embedding health touchpoints into daily life can make healthcare more accessible for patients before they need high-acuity care. This shift could help reduce healthcare workforce shortages by redirecting utilization away from costly acute care settings and toward community-based solutions.

Collectively transforming who delivers care, how care is found, and where care is accessed could simultaneously ease the strain on the healthcare workforce while also improving health outcomes.

Conclusion
Eliminating the healthcare worker shortage is a solvable problem and a shared responsibility to the billions of people globally lacking access to essential healthcare.
No one goes through life without facing illness. And when a major illness occurs, people are fortunate if they can benefit from the care and support of a skilled healthcare worker. For people without access to such care, the consequences of illness can be debilitating, costly, and even deadly. The peril is all too real for many, given that healthcare systems globally have a shortage of ten million workers.

That is why addressing the healthcare worker shortage is about more than filling vacancies. It's also about creating a world where everyone has access to the caregivers-and therefore the care-they need.

According to MHI's research, eliminating the healthcare worker shortage by 2030 would reduce disease burden by 7 percent and add $1.1 trillion to the global economy. Part of the solution is using the Healthcare Workforce Triangle-interventions for the workforce to grow, thrive, and stay-as a framework to increase the healthcare workforce by about 5.6 million.

Closing the rest of the gap will require a more radical shift by broader society-one that addresses the who, how, and where of healthcare service delivery. This could reduce overall demand for healthcare, particularly in high-acuity, resource-intensive settings, and also improve health outcomes. Achieving lasting impact will be possible only through bold, cross-sectoral action involving governments, healthcare providers, educational institutions, nongovernmental organizations, technology companies, researchers, investors, and other stakeholders.

The global healthcare workforce represents a critical social infrastructure that reaches well beyond healthcare institutions and systems. It is the backbone of societal well-being and development, especially in an increasingly aging world. Investing in the workforce is an investment in society's future-one defined by better health outcomes, more resilient communities, and shared economic growth.

Only through radical collaboration can the healthcare workforce shortage evolve from a crisis into an opportunity. Seizing the opportunity not only can eliminate the shortage but also would pave the way for a healthier, more resilient, and sustainable world.

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Heartbeat of health: Reimagining the healthcare workforce of the future

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Closing the healthcare workforce shortage gap could eliminate 7 percent of the global disease burden and add $1.1 trillion to the global economy.

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Researching this topic showed me both the promise and the limits of AI in healthcare. At first, I only saw the cool tech. Then I learned about bias in devices and why testing on diverse groups matters. The hardest part was telling solid facts from hype, so I used trusted sources like WHO, FDA, and peer-reviewed papers. I also tried to write in plain words. I now think AI should assist not replace the clinicians. Clear rules, privacy protection, and honest reporting will help people trust these tools. This project made me more thoughtful about tech in medicine.

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1. Wenderott, K., et al. (2024). Effects of AI implementation on efficiency in clinical imaging. npj Digital Medicine. https://doi.org/…

Rationale: Gives real world evidence that AI can speed up imaging workflows.

2. Najjar, R., et al. (2023). Redefining radiology: A review of AI in medical imaging. Diagnostics. https://pmc.ncbi.nlm.nih.gov/articles/PMC10487271/

Rationale: Clear overview of how deep learning supports image analysis and where it falls short.

3. World Health Organization. (2021). Ethics and governance of artificial intelligence for health. https://www.who.int/publications/i/item/9789240029200

Rationale: Baseline ethics principles for safe and fair and transparent health AI.

4. World Health Organization. (2025). Guidance on large multi-modal models in health. https://www.who.int/publications/i/item/9789240084759

Rationale: Up-to-date guidance on next gen models that mix text images and more.

5. U.S. Food and Drug Administration. (2025). AI/ML-Enabled Medical Devices. https://www.fda.gov/medical-devices/…

Rationale: Confirms what AI medical devices are actually authorized in the U.S.

6. Tempus. (2022–2025). AI-enabled precision medicine & Tempus+ program. https://www.tempus.com/

Rationale: Explains how Tempus uses real world and genomic data to support care and research.

7. Jafleh, E. A., et al. (2024). The role of wearable devices in chronic disease management. Sensors (via PMC). https://pmc.ncbi.nlm.nih.gov/articles/PMC11461032/

Rationale: Shows why continuous monitoring plus AI can improve longterm care.