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

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

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 p...

Full description

Bibliographic Details
Main Authors: Huang, Weiting, Ong, Wen Chong, Wong, Mark Kei Fong, Ng, Eddie Yin Kwee, Koh, Tracy, Chandramouli, Chanchal, Ng, Choon Ta, Hummel, Yoran, Huang, Feiqiong, Lam, Carolyn Su Ping, Tromp, Jasper
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Healthcare artificial intelligence
Machine learning
Online Access:https://hdl.handle.net/10356/179624

Similar Items

Similar Items