Combining Natural Language Processing of Electronic Medical Notes With Administrative Data to Determine Racial/Ethnic Differences in the Disclosure and Documentation of Military Sexual Trauma in Veterans.

Journal: Medical care
PMID: 31095054

Abstract

BACKGROUND: Despite national screening efforts, military sexual trauma (MST) is underreported. Little is known of racial/ethnic differences in MST reporting in the Veterans Health Administration (VHA).

Authors

  • Adi V Gundlapalli
    School of Medicine, University of Utah, Salt Lake City, Utah, US.
  • Audrey L Jones
    Informatics, Decision-Enhancement and Analytic Sciences (IDEAS) Center of Innovation VA Salt Lake City Health Care System, Salt Lake City, UT.
  • Andrew Redd
    Andrew Redd, PhD, is an Assistant Professor at the University of Utah and a statistician in the IDEAS Center at the VA Salt Lake City Health Care System in Salt Lake City, UT.
  • Guy Divita
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
  • Emily Brignone
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
  • Warren B P Pettey
    VA Salt Lake City Health Care System & University of Utah, Salt Lake City, UT, USA.
  • Marjorie E Carter
    IDEAS Center, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA; Departments of Internal Medicine and Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Matthew H Samore
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
  • Rebecca K Blais
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.
  • Jamison D Fargo
    VA Salt Lake City Health Care System, Salt Lake City, Utah, USA.

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