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This profile was last updated on 10/21/15  and contains information from public web pages and contributions from the ZoomInfo community.

Dr. Karen R. Sepucha

Wrong Dr. Karen R. Sepucha?


Phone: (617) ***-****  
Email: k***@***.edu
Massachusetts General Hospital
55 Fruit Street
Boston , Massachusetts 02114
United States

Company Description: Massachusetts General Hospital, founded in 1811, is the original and largest teaching hospital of Harvard Medical School. The MGH conducts the largest...   more

Employment History

Board Memberships and Affiliations


  • Ph.D. , Engineering-Economic Systems and Operations Research
    Stanford University
  • decision sciences
    Stanford University
51 Total References
Web References
"Informed patients make better health ..., 10 Nov 2014 [cached]
"Informed patients make better health care decisions, and better decisions support healthier living," said Karen Sepucha, Ph.D., Director of the Health Decision Sciences Center at Massachusetts General Hospital, a part of Partners HealthCare, and an assistant professor in medicine at Harvard Medical School.
"Not sharing the right information can ..., 25 Feb 2009 [cached]
"Not sharing the right information can lead to poor decisions," says Karen Sepucha, a researcher at Massachusetts General Hospital in Boston. She spoke at a recent forum in Washington, D.C., sponsored by the non-profit Foundation for Informed Medical Decision Making.
For example, when it comes to breast cancer surgery, 71 percent of doctors in one study said saving the breast was a top concern, but just 7 percent of patients agreed, Sepucha says.
Program Advisory Board - Vital Decisions, 10 July 2015 [cached]
Karen R. Sepucha, Ph.D.
Karen is the director of the Health Decision Sciences Center in the General Medicine Division at Massachusetts General Hospital (MGH) and an assistant professor in Medicine at Harvard Medical School. Her research and clinical interests involve developing and implementing tools and methods to improve the quality of significant medical decisions made by patients and clinicians. Dr. Sepucha was the medical editor for a series of five breast cancer patient decision aids (PtDAs) developed by the not-for-profit Informed Medical Decisions Foundation. The PtDAs have won seven media awards and Dr. Sepucha has led the dissemination of these programs to more than 80 academic and community cancer centers across the country. She is also responsible for efforts to promote shared decision making into primary and specialty care at MGH through patient decision aids and clinician skills training. Her recent research has focused on the development of instruments to measure the quality of decisions. The decision quality instruments have been used in national surveys of medical decisions, and a subset of the items have been adapted for use in the CAHPS primary care medical home patient experience survey. Dr. Sepucha has been active in local, national and international efforts to improve decision quality, including the International Patient Decision Aids Standards collaboration. She got her Ph.D. in Engineering-Economic Systems and Operations Research at Stanford University with a focus in decision sciences.
Milbank Memorial Fund - Acknowledgments, 22 July 2014 [cached]
Karen R. Sepucha Massachusetts General Hospital | Independent Expert Reviews of News Stories | Holding Health and Medical Journalism Accountable, 13 Sept 2011 [cached]
Karen Sepucha
Karen R. Sepucha, PhD
Karen R. Sepucha is a Senior Scientist with the Health Decision Research Unit at Massachusetts General Hospital and an Instructor in Medicine at Harvard Medical School. Her research interests focus on extending and refining normative and behavioral decision making theories and their applications to medical decision making. Dr. Sepucha has published several articles evaluating decision support interventions and describing a conceptual framework for promoting measurable improvements in decision quality. Her most recent work is focused on developing and evaluating decision quality measures that can be used to compare decision quality across populations of patients.
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