A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.

Journal: Translational vision science & technology
Published Date: Oct 3, 2022

Abstract

PURPOSE: In patients with ophthalmic disorders, psychosocial risk factors play an important role in morbidity and mortality. Proper and early psychiatric screening can result in prompt intervention and mitigate its impact. Because screening is resource intensive, we developed a framework for automating screening using an electronic health record (EHR)-derived artificial intelligence (AI) algorithm.

Authors

  • Samuel I Berchuck
    Vision, Imaging and Performance Laboratory (VIP), Duke Eye Center and Department of Ophthalmology, Duke University, Durham, North Carolina, USA; Department of Statistical Science and Forge, Duke University, Durham, North Carolina, USA.
  • Alessandro A Jammal
    Vision, Imaging and Performance (VIP) Laboratory, Duke Eye Center and Department of Ophthalmology, Duke University, Durham, North Carolina.
  • David Page
    Duke University, Department of Biostatistics and Bioinformatics, Durham, NC, USA.
  • Tamara J Somers
    Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA.
  • Felipe A Medeiros
    Duke Eye Center, Department of Ophthalmology, Duke University, Durham, North Carolina, United States.

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