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Use of Electronic Health Record Data for Drug Safety Signal Identification: A Scoping Review

    Basic Details

    Pharmacovigilance programs protect patient health and safety by identifying adverse event signals through postmarketing surveillance of claims data and spontaneous reports. Electronic health records (EHRs) provide new opportunities to address limitations of traditional approaches and promote discovery-oriented pharmacovigilance.

    To evaluate the current state of EHR-based medication safety signal identification, we conducted a scoping literature review of studies aimed at identifying safety signals from routinely collected patient-level EHR data. We extracted information on study design, EHR data elements utilized, analytic methods employed, drugs and outcomes evaluated, and key statistical and data analysis choices.


    Sharon E Davis, Luke Zabotka, Rishi J Desai, Shirley V Wang, Judith C Maro, Kevin Coughlin, José J Hernández-Muñoz, Danijela Stojanovic, Nigam H Shah, Joshua C Smith

    Corresponding Author

    Joshua C. Smith; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN.