#value-based care

NEW YORK — In a market week where the S&P 500 gained less than 1%, one healthcare stock quietly doubled — and the story behind that move is more complicated than the headline number suggests. 📊 Trader’s Take My read on this is that AGL’s move was structurally driven — short covering layered onto genuine fundamental surprise, not momentum chasing on thin air. The real question is whether a single…

By Melody Craff

Case Study: Data governance, quality, and accessibility

The challenge

When the senior director at a large state-wide employer organization found herself grappling with how to improve the organization’s data governance and educate team members on how to maintain it, she knew that getting the most out of the data would require changes to culture, processes, and habits. She also knew that the solution needed to ensure data accessibility for everyone, from technically sophisticated coders to goal-oriented executives, as well as managers of programs and teams who need reporting insights to determine priorities. At the outset, data management was often inefficient, duplicative, and siloed. Poor communication between teams, opaque reporting parameters, and inconsistent data sources and definitions often resulted in different answers to the same question. That did not engender trust or productive collaboration.

The solution

The director reached out to the Milliman MedInsight Strategic Services team for their expertise in data analytics, communication, and data governance. The objective: to make their data and its analyses accurate, consistent and accessible to internal stakeholders as well as external individuals and organizations. The solution would require multiple initiatives including data organization and consolidation and dashboard optimization.

Data quality was an early obstacle. The Strategic Services team worked with the client to develop a universal data approach, conducting stakeholder meetings to gather requirements, establish business glossaries, shared definitions and well-maintained data dictionaries supported by documentation, as well as informative metadata. Data quality and consistency began to improve, gradually moving toward a single source of truth.

As the focus transitioned to making data accessible to non-technical data consumers, the MedInsight team emphasized the importance of dashboards that are both visually appealing and intuitive, enabling users to interpret data efficiently without becoming mired in technical complexities.

The client also wanted to be able to share her company’s analyses with external stakeholders and collaborators quickly and seamlessly, while ensuring data security, consistency, and reliability.  The Strategic Services team planned and executed a system that provided rapid access to the organization’s analyses by approved third parties, without intermediary technical steps.

The outcome

The company made great progress from its struggle with siloed and varied data management, developing a culture of data governance, advancing its analytic maturity, and setting a benchmark for effective data management and utilization.

Case study: Data quality, documentation and efficiency

The challenge

A lead project manager at a health care information management organization managed a variety of organizations’ employee health data and struggled to process client requests for customized reports and queries. Meanwhile, inadequate documentation in the work of a third-party contractor complicated their data management and process flow. With these challenges in mind, the manager sought help from the Milliman MedInsight Strategic Services team.

Results

As part of a standard series of reports, the manager changed a few subtle details in the dataset as a test of the thoroughness of the team’s data quality processes. The team caught the discrepancies, excluded them from the analyses in the report, and automatically documented the reasons those failed the quality check. The team’s attention to detail and ability to catch small errors in large datasets with quick turnaround earned the manager’s trust and confidence.

The Strategic Services team worked to move the organization toward more mature analytic practices and the ability to adapt to the customization needs of their clients. Unless properly documented, custom reports have an expiration date. To address this, the MedInsight team implemented cataloguing and documentation processes that created cleaner and more easily discernable data queries, while also improving query automation and efficiency to reduce turnaround time. These measures helped the organization provide more straightforward and efficient reporting to their clients and establish the groundwork for improved documentation. Eventually, the organization’s analytics could be transferred to a resource augmentation team for ongoing monthly or quarterly data processing services.

The outcome

The organization built a foundation of mature analytics, addressing the documentation issues and enhancing data quality. The outcome was an organization able to meet client demands more effectively and efficiently, underscoring the importance of meticulous documentation and data quality in achieving analytic maturity.

Case study: Data literacy, education, and common language

The challenge

The manager of the data analytics division of a large regional organization needed to improve shortfalls in data literacy and communication which were affecting data quality and creating missed opportunities for leveraging data insights. The manager was responsible for multiple strategic initiatives that revealed insufficient data literacy, a large volume of staff and leaders who did not feel they knew how to access and use data, and the lack of a common language around data. From the executive perspective, over-customization, data silos, poor documentation and conflicting definitions were a source of inefficiencies that led to confusion and limited the use of data to inform strategic initiatives.

The solution

The manager began working with the Milliman MedInsight Strategic Services team to develop data literacy through custom training courses, focusing on using data in business, driving performance with analytics, data visualization and communication through storytelling with data. Specialized course were also developed to communicate complex concepts such as risk adjustment that impacted the financial and quality outcomes of key programs in the organization.

Results

The licensed Milliman MedInsight Certification and Learning Program® played a vital role in the outcome, ensuring a solid foundation for learners to develop their skills with customized training and courses. With Strategic Services’ guidance and experience in facilitating analytic maturity, the organization made significant progress toward creating a culture of data literacy built around a common language.

About Milliman MedInsight

MIPS Reporting Made Easy: The Importance of Strategic Attestation in Optimizing Reimbursements

The Global Physicians Group Market was valued at US$ 278.4 billion in 2024 and is projected to reach US$ 402.7 billion by 2032, growing at a CAGR of 4.7% during the forecast period 2025–2032.

Physicians groups comprising independent medical practices, hospital-affiliated networks, and multi-specialty organizations play a pivotal role in delivering coordinated, value-based, and patient-centered care. Market growth is being driven by the rising prevalence of chronic diseases, increasing healthcare expenditure, the shift toward integrated care models, and the growing adoption of digital health technologies to improve efficiency and outcomes.

📌 Download Your Sample Report Instantly (Corporate Email ID required for priority access): https://www.datamintelligence.com/download-sample/physicians-group-market

Market Segmentation:

By Type:

Single-Specialty Groups: Focused on one medical discipline, such as cardiology or orthopedics, these groups dominate due to operational efficiency, strong patient referral networks, and clinical expertise within specific therapeutic areas.

Multi-Specialty Groups: Growing rapidly as they provide integrated care across multiple specialties, improve patient outcomes, and align with value-based healthcare and coordinated service delivery models.

By Ownership:

Physician-Owned Groups: Represent a significant portion of the market, offering autonomy, direct patient relationships, and flexibility in care delivery.

Hospital-Owned Groups: Expanding quickly through vertical integration and affiliation models to streamline inpatient and outpatient services.

Others (Private Equity & Corporate-Owned): Witnessing increased investment and consolidation, focusing on scalability, administrative efficiency, and advanced digital infrastructure.

By Specialty:

Primary Care: Largest segment driven by growing demand for preventive healthcare, chronic disease management, and population health programs.

Orthopedics: Significant growth due to increasing sports injuries, musculoskeletal disorders, and aging populations.

Pediatrics: Expanding with rising focus on child wellness, vaccination programs, and early disease detection.

Radiology: Growing importance due to digital imaging, AI-driven diagnostics, and integration with hospital networks.

Cardiology: High demand segment led by increasing cardiovascular disease prevalence and advanced interventional treatments.

Dermatology: Steady growth driven by cosmetic procedures, tele-dermatology adoption, and rising skin-related conditions.

Others: Includes oncology, neurology, obstetrics & gynecology, and gastroenterology—key specialties supporting multidisciplinary healthcare models.

Key Market Drivers:

Shift to Value-Based Care: Emphasis on outcome-driven payment models promoting group practice efficiency.

Rising Chronic Disease Burden: Growing prevalence of diabetes, cardiovascular, and respiratory diseases requiring multi-disciplinary care.

Digital Health Transformation: Telemedicine, AI diagnostics, and EHR integration enhancing physician collaboration.

Private Equity & M&A Activity: Consolidation improving scale, technology investment, and operational efficiency.

Physician Workforce Trends: Growing preference for group employment models over solo practice due to reduced administrative burden.

Leading Key Players:

Mayo Clinic Physicians Group

Cleveland Clinic Medical Group

Kaiser Permanente Medical Group

Mass General Brigham Physicians Organization

UnitedHealth Group (OptumCare)

HCA Healthcare Physician Services

Tenet Healthcare Corporation

Community Health Systems (CHS)

Envision Physician Services

TeamHealth Holdings

Recent Industry Developments:

Mergers & Acquisitions: Consolidation across regional physician groups to achieve operational scale and shared technology infrastructure.

Telehealth Expansion: Hybrid care models combining in-person and virtual consultations for broader accessibility.

Digital Integration: Increased investment in AI, predictive analytics, and data-driven population health management.

Private Equity Investments: Surge in capital infusion for scaling multi-specialty physician networks.

Collaborative Care Initiatives: Partnerships with payers to enhance value-based contracting and reduce total cost of care.

Geographical Insights:

North America: Largest market, led by the U.S., driven by advanced healthcare infrastructure, private equity investments, and high adoption of telehealth.

Europe: Growing emphasis on integrated care networks and digital transformation in healthcare delivery.

Asia-Pacific: Fastest-growing region, propelled by healthcare digitization, government funding, and expanding physician networks in India and China.

South America: Emerging demand supported by healthcare reforms and growing private practice networks in Brazil and Argentina.

Middle East & Africa: Developing market with increasing hospital affiliations and expansion of multi-specialty centers.

Conclusion:

The Physicians Group Market is evolving as the backbone of value-based healthcare, fostering collaboration, efficiency, and quality patient outcomes. Supported by digital transformation, consolidation, and patient-centric models, the market is poised for steady growth. By 2032, physician groups will play a central role in global healthcare delivery — integrating advanced technologies, optimizing workflows, and enabling equitable access to care.

About Us:

DataM Intelligence is a Market Research and Consulting firm providing end-to-end business solutions, from research to strategy. We leverage data-driven insights and emerging trends to deliver actionable intelligence across industries. Our research database features over 6,300 reports across 40+ domains, supporting 200+ global clients in 50+ countries, helping organizations make informed decisions and achieve growth.

Contact Us:

Company Name: DataM Intelligence 4market Research LLP

Contact Person: Sai Kiran

Email: [email protected]

Phone: +1 877 441 4866

Impact of Value-Based Care on Medical Billing

Leveraging Interoperability to Navigate the Landscape of Value-Based Reimbursement

Across the whole U.S region, medical experts are adopting value-based care models. The overwhelming number of medical alert systems is generated by clinical decision support systems (CDSS). It has led to inappropriate alert overrides, that may lead to unintended patient harm. The value-based care is relevant to both patients whose healthcare comes via government programs, such as Medicaid, Medicare, and Veterans Health Administration facilities, and those who receive care privately. 

These systems, once regarded as emergency-only devices for the elderly, are now becoming a strategic asset in the broader shift toward proactive, patient-centered care. In this evolving narrative, C-suite leaders, startup entrepreneurs, and healthcare managers are re-evaluating the role of medical alert systems as a key lever in unlocking the full potential of value-based care.

The Convergence of Technology and Accountability

The transition from fee-for-service to value-based care models is fundamentally about accountability—hospitals and health systems are rewarded for keeping patients healthy, not just treating them when they're sick. This shift demands real-time data, early intervention, and patient empowerment. Herein lies the growing relevance of medical alert systems.

Modern medical alert systems go beyond panic buttons. With GPS tracking, fall detection, biometric monitoring, and seamless integration with electronic health records (EHR), these tools can serve as continuous health monitors. For chronic care patients—especially seniors living independently—this technology delivers critical health insights between clinical visits.

Bridging the Gap Between Clinical and Home-Based Care

One of the biggest challenges in value-based care is maintaining continuity beyond the hospital or doctor’s office. Patients, particularly those with chronic conditions, often experience health deterioration between scheduled appointments. Medical alert systems provide a solution by enabling round-the-clock monitoring that empowers early interventions.

According to a report by MarketsandMarkets, the global personal emergency response systems (PERS) market is expected to grow from $6.3 billion in 2022 to $9.4 billion by 2027, at a CAGR of 8.4%. This signals the growing role of these systems not only in personal safety but in structured healthcare delivery frameworks.

When connected to care management teams, medical alert systems can trigger alerts that allow healthcare providers to act before small issues escalate into hospital admissions. This proactive response fits seamlessly into the goals of value-based care: improving outcomes, reducing costs, and enhancing patient satisfaction.

ROI for Providers and Payers

Beyond patient health, medical alert systems can also generate measurable returns for providers and insurers participating in value-based care arrangements. Avoidable hospitalizations are costly—not only financially but in the context of performance-based metrics.

In a Kaiser Permanente study, implementation of remote patient monitoring tools led to a 50% reduction in hospital readmissions for heart failure patients. While not all remote tools are the same, medical alert systems can contribute to similar outcomes when used strategically within care plans.

Furthermore, these systems offer detailed incident reports and usage analytics that inform population health strategies. They can identify trends in patient behavior or symptoms, helping care coordinators adjust treatments or follow-up schedules.

Supporting the Aging Population

As the population ages, the demand for healthcare services will surge. A recent report by the Administration for Community Living projected that adults over 65 will make up 21.6% of the population by 2040. This demographic shift poses both a challenge and an opportunity for healthcare delivery models.

Medical alert systems are uniquely suited to serve this group. They enable aging individuals to remain in their homes longer without compromising their safety, aligning with the objectives of aging-in-place initiatives. By preventing injuries from becoming emergencies, these systems reduce reliance on acute care services and support population-level health improvements.

Integrating Medical Alert Systems Into Health IT Ecosystems

For healthcare leaders, the question is no longer whether medical alert systems are useful, but how to integrate them effectively into existing health IT ecosystems. Strategic partnerships with alert system providers are emerging as a key trend. These collaborations allow health systems to access data in real-time and deliver more personalized care.

Entrepreneurial startups are also entering the scene, offering white-labeled or co-branded alert solutions that can be customized to the needs of large healthcare providers. From wearable tech companies to AI-based monitoring platforms, innovation is reshaping how medical alert systems are perceived—and deployed.

Overcoming Adoption Barriers

Despite the promise, adoption isn’t without challenges. Issues related to interoperability, data privacy, and upfront costs can deter institutions from scaling medical alert systems programs. However, these hurdles are not insurmountable.

Forward-thinking healthcare managers are piloting small-scale programs with measurable KPIs. By demonstrating reductions in readmissions or improvements in patient adherence, these initiatives can justify broader investments.

Moreover, as Medicare Advantage plans expand their coverage of home-based technologies, the financial feasibility of deploying medical alert systems across larger populations is improving.

A Shift from Reactive to Predictive Care

Perhaps the most transformative impact of medical alert systems lies in their ability to shift care from reactive to predictive. Instead of waiting for patients to report issues—or worse, present at the emergency room—providers can intervene based on real-time alerts.

This model of care reduces provider burden, limits unnecessary utilization, and empowers patients to participate in their health management. For startup founders and C-suite decision-makers, the takeaway is clear: investing in the right alert technologies today can create outsized returns tomorrow.

Conclusion

As value-based care becomes the dominant paradigm in healthcare delivery, success will depend on how well providers extend their reach beyond traditional care settings. Medical alert systems offer a practical, scalable, and data-rich way to do just that.

They are not a silver bullet, but in combination with broader remote care and digital health initiatives, they may indeed be the missing piece that connects the dots in a fragmented care continuum. For business leaders, innovators, and healthcare executives aiming to create meaningful impact, it’s time to move medical alert systems from the periphery to the core of strategic planning.

During the SDOH/SIOH forum today, a key expert noted that for the last few years CMS has noted real concerns with the lack of ROI in value-based care models and perhaps time to rethink.Now clearly, there are many challenges and opportunities in this space, as highlighted in the terrific piece …“𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗖𝗵𝗮𝗻𝗴𝗲: 𝗖𝗼𝗻𝗳𝗿𝗼𝗻𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗼𝗳 𝗩𝗮𝗹𝘂𝗲-𝗕𝗮𝘀𝗲𝗱 𝗖𝗮𝗿𝗲 𝗛𝗼𝘄 𝗛𝗲𝗮𝗹𝘁𝗵 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗦𝗵𝗼𝘂𝗹𝗱 𝗘𝘃𝗮𝗹𝘂𝗮𝘁𝗲…