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Evaluation of Existing Approaches to EHR-based Signal Identification

    Basic Details
    Date Posted

    This project will conduct a scoping review of available methods for adverse event signal identification using electronic health record (EHR) data, identify the gaps in current knowledge, and guide future projects aimed at empirical evaluations to identify and test the most promising approaches for EHR-based signal identification. Ultimately, the project will inform the Sentinel Innovation Center’s (IC) roadmap for the integration and development of methods of signal identification from EHR data with IC activities. The primary outputs of the project will be a literature review and a manuscript that highlights recommendations for methods and innovative approaches. The IC will collaborate with experts at Vanderbilt University Medical Center and Brigham and Women’s Hospital on this activity, leveraging learnings from related detection analytics activities.

    Workgroup Leader(s)

    Joshua C. Smith, PhD; Sharon E. Davis, PhD, MS; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN

    Shirley Wang, PhD, ScM; Rishi Desai, PhD; Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA

    Workgroup Member(s)

    Kevin Coughlin, MA; Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA