
Amol S. Navathe
· Professor, Health Policy and Medicine, University of Pennsylvania; Co-Director, Healthcare Transformation Institute; Associate Director, Center for Health Incentives & Behavioral Economics (CHIBE); Vice Chair, Medicare Payment Advisory Commission, US Congress; Co-Editor-in-Chief, HealthCare: the Journal of Delivery Science and InnovationUniversity of Pennsylvania · Rehabilitation Medicine
Active 2008–2026
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About
Amol S. Navathe, MD, PhD, is a Professor of Medical Ethics and Health Policy at the University of Pennsylvania. He is also a Senior Fellow at the Leonard Davis Institute of Health Economics and serves as Co-Director of the Healthcare Transformation Institute at the University of Pennsylvania, as well as Co-Director of the Healthcare Transformation Institute at the Perelman School of Medicine. Additionally, he is the Founding Director of The Parity Center: Equity through Payment Reform at the Perelman School of Medicine. His educational background includes a B.S. in Electrical Engineering & Economic Systems from Stanford University, graduating Magna Cum Laude in 2001; a Ph.D. in Health Care Management and Economics from The Wharton School, University of Pennsylvania, in 2008; and an M.D. from the University of Pennsylvania Perelman School of Medicine in 2010. His research focuses on health policy, healthcare payment reform, health equity, and the application of economics and ethics to medical decision-making and health systems. He has contributed to understanding payment models, hospital participation in bundled payments, virtual specialty palliative care, and addressing racial bias in clinical algorithms, among other topics.
Research topics
- Business
- Actuarial science
- Medicine
- Finance
- Economics
- Public economics
- Environmental health
- Economic growth
- Political Science
- Family medicine
Selected publications
The Impact of Medicare's Alternative Payment Models on the Value of Care
Annual Review of Public Health · 2020 · 61 citations
Over the past decade, the Centers for Medicare and Medicaid Services (CMS) have led the nationwide shift toward value-based payment. A major strategy for achieving this goal has been to implement alternative payment models (APMs) that encourage high-value care by holding providers financially accountable for both the quality and the costs of care. In particular, the CMS has implemented and scaled up two types of APMs: population-based models that emphasize accountability for overall quality and…
BMJ · 2020 · 45 citations
Senior authorCorrespondingOBJECTIVE: To evaluate whether longer term participation in the bundled payments for care initiative (BPCI) for medical conditions in the United States, which held hospitals financially accountable for all spending during an episode of care from hospital admission to 90 days after discharge, was associated with changes in spending, mortality, or health service use. DESIGN: Quasi-experimental difference-in-differences analysis. SETTING: US hospitals participating in bundled payments for acute myo…
Value-Based Payment Models In The Commercial Insurance Sector: A Systematic Review
Health Affairs · 2022 · 29 citations
Value-based payment models are a prominent strategy in health reform. Although Medicare payment models have been extensively evaluated, much less is known about value-based payment models in the commercial insurance sector. We performed the first systematic review of the quality, spending, and utilization effects of commercial models, extracting results from fifty-nine studies. Forty-one of these studies evaluated outcomes. More studies had positive results for quality outcomes (81 percent of st…
Racial Bias in Clinical and Population Health Algorithms: A Critical Review of Current Debates
Annual Review of Public Health · 2024-12-03 · 17 citations
reviewOpen accessAmong health care researchers, there is increasing debate over how best to assess and ensure the fairness of algorithms used for clinical decision support and population health, particularly concerning potential racial bias. Here we first distill concerns over the fairness of health care algorithms into four broad categories: ( a ) the explicit inclusion (or, conversely, the exclusion) of race and ethnicity in algorithms, ( b ) unequal algorithm decision rates across groups, ( c ) unequal error…
Journal of Clinical Oncology · 2024-10-02 · 9 citations
articleOpen accessPURPOSE The Oncology Care Model (OCM), a value-based payment model for traditional Medicare beneficiaries with cancer, yielded total spending reductions that were outweighed by incentive payments, resulting in net losses to the Centers for Medicare & Medicaid Services. We studied whether the OCM yielded spillover effects in total episode spending, utilization, and quality among commercially insured and Medicare Advantage (MA) members, who were not targeted by the program. PATIENTS AND METHOD…
Frequent coauthors
- 201 shared
Joshua M. Liao
The University of Texas Southwestern Medical Center
- 94 shared
Ezekiel Emanuel
- 72 shared
Ravi B. Parikh
Penn Center for AIDS Research
- 72 shared
Jingsan Zhu
University of Pennsylvania
- 64 shared
Kevin G. Volpp
University of Pennsylvania
- 54 shared
Kevin G. Volpp
Penn Center for AIDS Research
- 36 shared
Deborah S. Cousins
University of Pennsylvania
- 30 shared
Rachel M. Werner
Labs
Medical Ethics and Health PolicyPI
Education
- 2001
B.S., Electrical Engineering & Economic Systems
Stanford University
- 2008
Ph.D., Health Care Management and Economics
The Wharton School, University of Pennsylvania
- 2010
M.D.
University of Pennsylvania Perelman School of Medicine
Awards & honors
- Senior Fellow, Leonard Davis Institute of Health Economics
- Co-Director, Healthcare Transformation Institute, University…
- Founding Director, The Parity Center: Equity through Payment…
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