Can artificial intelligence help identify elder abuse and neglect?. Issue 1 (1st January 2020)

• Record Type: Journal Article
• Authors: Rosen, Tony; Zhang, Yiye; Bao, Yuhua; Clark, Sunday; Elman, Alyssa; Wen, Katherine; Jeng, Philip; Lachs, Mark S.
• Is Part Of: Journal of elder abuse & neglect. Volume 32:Issue 1(2020)
• Page Start: 97
• Page End: 103
• Publication Date: 2020-01-01
• Subjects: Elder abuse -- machine learning -- electronic health records -- insurance claims; Elder Abuse -- Periodicals; Older people -- Abuse of -- United States -- Periodicals; Social work with older people -- United States -- Periodicals; 362.682
• DOI: 10.1080/08946566.2019.1682099
• Languages: English
• ISSNs: 0894-6566

Abstract

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.