TY - JOUR
T1 - Effect of risk, expectancy, and trust on clinicians’ intent to use an artificial intelligence system – Blood Utilization Calculator
AU - Choudhury, Avishek
AU - Asan, Onur
AU - Medow, Joshua E.
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/5
Y1 - 2022/5
N2 - A gap exists between the capabilities of artificial intelligence (AI) technologies in healthcare and the extent to which clinicians are willing to adopt these systems. Our study addressed this gap by leveraging ‘expectancy-value theory’ and ‘modified extended unified theory of acceptance and use of technology’ to understand why clinicians may be willing or unwilling to adopt AI systems. The study looked at the ‘expectancy,’ ‘trust,’ and ‘perceptions’ of clinicians related to their intention of using an AI-based decision support system known as the Blood Utilization Calculator (BUC). The study used purposive sampling to recruit BUC users and administered a validated online survey from a large hospital system in the Midwest in 2021. The findings captured the significant effect of ‘perceived risk’ (negatively) and ‘expectancy’ (positively) on clinicians' ‘trust’ in BUC. ‘Trust’ was also found to mediate the relationship of ‘perceived risk’ and ‘expectancy’ with the ‘intent to use BUC.’ The study's findings established pathways for future research and have implications on factors influencing BUC use.
AB - A gap exists between the capabilities of artificial intelligence (AI) technologies in healthcare and the extent to which clinicians are willing to adopt these systems. Our study addressed this gap by leveraging ‘expectancy-value theory’ and ‘modified extended unified theory of acceptance and use of technology’ to understand why clinicians may be willing or unwilling to adopt AI systems. The study looked at the ‘expectancy,’ ‘trust,’ and ‘perceptions’ of clinicians related to their intention of using an AI-based decision support system known as the Blood Utilization Calculator (BUC). The study used purposive sampling to recruit BUC users and administered a validated online survey from a large hospital system in the Midwest in 2021. The findings captured the significant effect of ‘perceived risk’ (negatively) and ‘expectancy’ (positively) on clinicians' ‘trust’ in BUC. ‘Trust’ was also found to mediate the relationship of ‘perceived risk’ and ‘expectancy’ with the ‘intent to use BUC.’ The study's findings established pathways for future research and have implications on factors influencing BUC use.
KW - Artificial intelligence
KW - Behavioral intention
KW - Clinical decision making
KW - Healthcare
UR - http://www.scopus.com/inward/record.url?scp=85124205979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124205979&partnerID=8YFLogxK
U2 - 10.1016/j.apergo.2022.103708
DO - 10.1016/j.apergo.2022.103708
M3 - Article
C2 - 35149301
AN - SCOPUS:85124205979
SN - 0003-6870
VL - 101
JO - Applied Ergonomics
JF - Applied Ergonomics
M1 - 103708
ER -