Citation

Rosen TE, Zhang Y, Bao Y, Clark S, Elman A, Wen K, Jeng P, Lachs MS. J. Elder Abuse Negl. 2019; ePub(ePub): ePub.

Affiliation

Division of Geriatrics and Palliative Care, Weill Cornell Medical College/NewYork-Presbyterian.

Copyright

(Copyright © 2019, Informa - Taylor and Francis Group)

DOI

10.1080/08946566.2019.1682099

PMID

31713474

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.

Language: en

Keywords

Elder abuse; electronic health records; insurance claims; machine learning