Assessment of Automating Safety Surveillance From Electronic Health Records: Analysis for the Quality and Safety Review System.

Journal: Journal of patient safety
Published Date:

Abstract

BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event data, the Agency for Healthcare Research and Quality is developing and testing a patient safety surveillance system called the Quality and Safety Review System (QSRS). Its current abstraction from medical records is through manual human coders, taking an average of 75 minutes to complete the review and abstraction tasks for one patient record. With many healthcare systems across the country adopting electronic health record (EHR) technology, there is tremendous potential for more efficient abstraction by automatically populating QSRS. In the absence of real-world testing data and models, which require a substantial investment, we provide a heuristic assessment of the feasibility of automatically populating QSRS questions from EHR data.

Authors

  • Allan Fong
    National Center for Human Factors in Healthcare, MedStar Health, Washington, District of Columbia.
  • Katharine Adams
    From the National Center for Human Factors in Healthcare, Medstar Health.
  • Anita Samarth
    Clinovations.
  • Laura McQueen
    Clinovations.
  • Manan Trivedi
    Clinovations.
  • Tahleah Chappel
    Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services, Washington, District of Columbia.
  • Erin Grace
    Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services, Washington, District of Columbia.
  • Susan Terrillion
    Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services, Washington, District of Columbia.
  • Raj M Ratwani
    MedStar Health, MedStar Georgetown University Hospital, 3800 Reservoir Rd, NW CG201, Washington DC, 20007 (R.W.F.); and MedStar Health, National Center for Human Factors in Healthcare, Washington, DC (R.M.R.).