Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence.

ABSTRACT:

Background

Increasing patient loads, healthcare inflation and ageing population have put pressure on the healthcare system. Artificial intelligence and machine learning innovations can aid in task shifting to help healthcare systems remain efficient and cost effective. To gain an understanding of patients' acceptance toward such task shifting with the aid of AI, this study adapted the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), looking at performance and effort expectancy, facilitating conditions, social influence, hedonic motivation and behavioural intention.

Methods

This was a cross-sectional study which took place between September 2021 to June 2022 at the National Heart Centre, Singapore. One hundred patients, aged ≥ 21 years with at least one heart fa

SUBMITTER: Huang W 

PROVIDER: S-EPMC11007870 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature