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AJMC in the Press, September 2, 2016
Highlights of our peer-reviewed research in the healthcare and maintstream press.
A study from the August issue of The American Journal of Managed Care (AJMC), The Impact of Patient-Centered Medical Homes on Safety Net Clinics, was featured this week in HealthIT Analytics. Nathan Boroyan discussed how using the patient-centered medical home (PCMH) model in clinics that serve populations with high rates of emergency department (ED) use could lead to more efficient care and a decline in ED visits. The study was based on experiences in California after a 2011 Medicaid waiver, which called for placing seniors and persons with disabilities in managed care. This caused an increase in visits from those with chronic conditions to safety net clinics, but allowed for more care coordination. After implementing the PCMH model, safety net clinics saw ED visits drop by 70 visits per 1000 members per year.
Yahoo Finance published a report on a recent AJMC study, “Risk Contracting and Operational Capabilities in Large Medical Groups During National Healthcare Reform.” The study, by Robert E. Mechanic, MBA, and Darren Zinner, PhD, found that large, multi-specialty medical groups with more risk-based payment contracts across all payers are likely to invest in infrastructure and create incentives necessary for improved quality, safety and fewer unnecessary hospitalizations.
AI in Health Care: Balancing Governance, Innovation, and Trust
September 2nd 2025In this conversation with Reuben Daniel, associate vice president of artificial intelligence at UPMC Health Plan, we dive into how UPMC Health Plan builds trust with providers and members, discuss challenges of scaling AI effectively, and hear about concrete examples of AI's positive impact.
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Team Coordination, Data Sharing Help Prioritize Value in Cardio-Renal-Metabolic Care
September 12th 2025Cardiologists, nephrologists, and payers met in Scottsdale, Arizona, on August 26, 2025, to share insights on how team members can work together, empowered by data, to achieve value-based management of cardio-renal-metabolic syndrome.
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