The U.S. Food and Drug Administration (FDA) is developing the capacity for active medical product surveillance, which will enhance the agency’s ability to monitor the safety of marketed medical products. This new capacity will come in the form of the Sentinel System, which is currently being piloted through a project known as Mini-Sentinel. Accomplishing the goals of active medical product surveillance will require further development of new and existing methods and tools.
On February 16, the Engelberg Center for Health Care Reform hosted a one-day expert workshop to discuss some of the most pressing methodological issues facing active medical product safety surveillance. At this workshop, experts from academia, the private sector, FDA and other government agencies discussed several topics, including:
- Appropriate analysis and interpretation of signals in the context of large sample sizes
- Analyzing horizontally and vertically partitioned data
- Evaluating the performance of active surveillance methods
Agenda
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February 16
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Welcome, Introduction, and Meeting Objectives
Mark B. McClellan Former Brookings Expert, Director, Margolis Center for Health Policy - Duke University -
Opening Remarks
Rachel Behrman Director, Office of Medical Policy, Center for Drug Evaluation and ResearchJudy Racoosin Sentinel Initiative Scientific Lead, Office of Medical Policy, Center for Drug Evaluation and Research -
Session I: Signal Refinement in the Context of Large Sample Sizes
Kenneth J. Rothman RTI Health Solutions and RTI InternationalThomas Ten Have University of Pennsylvania School of MedicineSharon-Lise T. Normand Harvard Medical School and Harvard School of Public HealthDonald B. Rubin Harvard University -
Session II: Meta-Analytic Approaches for Combining Multiple Results to the Same Query
Jesse A. Berlin Johnson & Johnson Pharmaceutical Research and DevelopmentKenneth Hornbuckle Eli Lilly and CompanyChristopher H. Schmid Tufts University, Tufts Medical Center and Tufts University School of Medicine -
Session III: Distributed Regression and Related Methods for Signal Refinement
Bradley Malin Vanderbilt University School of Medicine and School of EngineeringChristopher W. Clifton Purdue University and Indiana Center for Database SystemsJeremy A. Rassen Harvard Medical School and Brigham & Women's Hospital -
Session IV: Establishing Operating Characteristics of Active Surveillance Approaches
Joshua J. Gagne Harvard Medical School and Brigham & Women's HospitalAlexander M. Walker World Health Information Science Consultants, LLC -
Recap and Closing Remarks
Mark B. McClellan Former Brookings Expert, Director, Margolis Center for Health Policy - Duke University
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