Debbie Peikes
Debbie Peikes is a nationally recognized leader in healthcare analytics and evaluation with more than 25 years of experience using evidence to improve patient outcomes, reduce costs, and drive healthcare transformation.
Dr. Peikes' career in health policy began as a Fulbright Scholar and spans leadership roles across research and industry. She spent 22 years at Mathematica, including a decade as a senior fellow, where she led interdisciplinary teams and served as principal investigator and project director for major federal evaluations funded by the Centers for Medicare and Medicaid Services, the Agency for Healthcare Research and Quality, and the Social Security Administration. She later held executive roles in the private sector—including vice president of healthcare research at Humana, vice president of evaluation and measurement at Blue Cross Blue Shield of Massachusetts, and senior research advisor to the chief medical officer at agilon health. She has also taught graduate-level evaluation methods at Princeton University.
Dr. Peikes brings deep expertise in mixed-methods evaluation, advanced analytics, predictive modeling, implementation science, survey design, and real-world evidence. Her subject matter knowledge spans traditional Medicare, Medicare Advantage, commercial insurance, value-based care, primary and chronic care, care management, disability policy, consumer experience, pharmacy, and methodological innovation.
A prolific contributor to the field, Dr. Peikes has authored approximately 300 publications, reports, and presentations, and she regularly provides peer reviews for leading journals. Her work has earned awards from AcademyHealth, the National Institute for Health Care Management, and the Robert Wood Johnson Foundation.
In 2022, the U.S. Government Accountability Office appointed Dr. Peikes to the Board of Governors of the Patient-Centered Outcomes Research Institute. She also serves on the board of Princeton University’s health system and on several scientific advisory committees.
