Graphical Presentations of Clinical Data in a Learning Electronic Medical Record.

Journal: Applied clinical informatics
Published Date: Oct 14, 2020

Abstract

BACKGROUND: Complex electronic medical records (EMRs) presenting large amounts of data create risks of cognitive overload. We are designing a Learning EMR (LEMR) system that utilizes models of intensive care unit (ICU) physicians' data access patterns to identify and then highlight the most relevant data for each patient.

Authors

  • Luca Calzoni
    Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States.
  • Gilles Clermont
    Cardiopulmonary Research Laboratory, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA.
  • Gregory F Cooper
    University of Pittsburgh, Pittsburgh, PA, USA.
  • Shyam Visweswaran
    University of Pittsburgh, Pittsburgh, PA, USA.
  • Harry Hochheiser
    University of Pittsburgh, Pittsburgh, PA, USA.

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