Can artificial intelligence help identify elder abuse and neglect?

Journal: Journal of elder abuse & neglect
Published Date: Jan 1, 2020

Abstract

A health care encounter is a potentially critical opportunity to detect elder abuse and initiate intervention. Unfortunately, health care providers currently very seldom identify elder abuse. Through development of advanced data analytics techniques such as machine learning, artificial intelligence has the potential to dramatically improve elder abuse identification in health care settings.

Authors

  • Tony Rosen
    Department of Emergency Medicine, Weill Cornell Medical College/NewYork-Presbyterian Hospital.
  • Yiye Zhang
    Department of Healthcare Policy and Research, Weill Cornell Medical College/New York Presbyterian, NY, USA.
  • Yuhua Bao
    Department of Health Policy & Research, Weill Cornell Medical College.
  • Sunday Clark
    Department of Emergency Medicine, Weill Cornell Medical College/NewYork-Presbyterian Hospital.
  • Alyssa Elman
    Department of Emergency Medicine, Weill Cornell Medical College/NewYork-Presbyterian Hospital.
  • Katherine Wen
    Department of Policy Analysis and Management, Cornell University, Ithaca, New York, USA.
  • Philip Jeng
    Department of Health Policy & Research, Weill Cornell Medical College.
  • Mark S Lachs
    Division of Geriatrics and Palliative Care, Weill Cornell Medical College/NewYork-Presbyterian.

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