Why AI Monitoring Faces Resistance and What Healthcare Organizations Can Do About It: An Emotion-Based Perspective

Karl Werder, Lan Cao, Eun Hee Park, Balasubramaniam Ramesh

Publikation: Artikel i tidsskrift og konference artikel i tidsskriftTidsskriftartikelForskningpeer review

Abstract

Continuous monitoring of patients' health facilitated by Artificial Intelligence (AI) has enhanced the quality of health care, that is, the ability to access effective care. However, AI monitoring often encounters resistance in adoption by decision makers. Healthcare organizations frequently assume that the resistance stems from patients’ rational evaluation of the technology's costs and benefits. Recent research challenges this assumption and suggests that the resistance to AI monitoring is influenced by the emotional experiences of patients and their surrogate decision makers. We develop a framework from an emotional perspective, provide important implications for healthcare organizations, and offer recommendations to help reduce resistance to AI monitoring.
OriginalsprogEngelsk
TidsskriftJournal of Medical Internet Research
Antal sider23
ISSN1438-8871
DOI
StatusUdgivet - 2024

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