April
24

Health Policy Research Seminar: Ateev Mehrotra, MD, MPH, Chair of the Department of Health Services,Professor, Brown University

12:00pm - 1:00pm • 1104 Blockley Hall

2025-04-24 12:00:00 2025-04-24 13:00:00 America/New_York Health Policy Research Seminar: Ateev Mehrotra, MD, MPH, Chair of the Department of Health Services,Professor, Brown University “The Rise (and Fall) of Telemedicine: Where do we go from here?” In this talk, Dr. Mehrotra will describe the evolving landscape of telehealth in the US since the start of the pandemic and empirical research on its impact on costs, quality, and access. Dr. Mehrotra is the Walter H. Annenberg Distinguished Professor and Chair of the Department of Health Services, Policy, and Practice at the Brown School of Public Health. Dr. Mehrotra’s research focuses on delivery innovations and their impact on access, quality, and spending. These include innovations such as telemedicine, remote patient monitoring, retail clinics, and e-visits. Ateev Mehrotra, MD, MPH, is the chair of the Department of Health Services, Policy and Practice at the Brown University School of Public Health. Dr. Mehrotra received his BS from the Massachusetts Institute of Technology, his MD from the University of California, San Francisco, and his residency in internal medicine and pediatrics at the Massachusetts General Hospital and Children’s Hospital of Boston. His clinical work has been both as a primary care physician and as an adult and pediatric hospitalist. He also has received formal research training with a Master of Public Health from the University of California, Berkeley and a Master of Science in Epidemiology from the Harvard School of Public Health. Much of Dr. Mehrotra's research is focused on delivery innovations such as retail clinics, e-visits, and telemedicine, including their impact on quality, costs, and access to health care. He is also interested in the role of consumerism and whether price transparency and public reporting of quality can impact patient decision making. Related work has focused on the impact of new payment models and quality measurement, including how natural language processing can be used to analyze the data in electronic health records. 1104 Blockley Hall Penn Medical Ethics

“The Rise (and Fall) of Telemedicine: Where do we go from here?”

In this talk, Dr. Mehrotra will describe the evolving landscape of telehealth in the US since the start of the pandemic and empirical research on its impact on costs, quality, and access. Dr. Mehrotra is the Walter H. Annenberg Distinguished Professor and Chair of the Department of Health Services, Policy, and Practice at the Brown School of Public Health. Dr. Mehrotra’s research focuses on delivery innovations and their impact on access, quality, and spending. These include innovations such as telemedicine, remote patient monitoring, retail clinics, and e-visits.

Ateev Mehrotra, MD, MPH, is the chair of the Department of Health Services, Policy and Practice at the Brown University School of Public Health.

Dr. Mehrotra received his BS from the Massachusetts Institute of Technology, his MD from the University of California, San Francisco, and his residency in internal medicine and pediatrics at the Massachusetts General Hospital and Children’s Hospital of Boston. His clinical work has been both as a primary care physician and as an adult and pediatric hospitalist. He also has received formal research training with a Master of Public Health from the University of California, Berkeley and a Master of Science in Epidemiology from the Harvard School of Public Health.

Much of Dr. Mehrotra's research is focused on delivery innovations such as retail clinics, e-visits, and telemedicine, including their impact on quality, costs, and access to health care. He is also interested in the role of consumerism and whether price transparency and public reporting of quality can impact patient decision making. Related work has focused on the impact of new payment models and quality measurement, including how natural language processing can be used to analyze the data in electronic health records.

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