Research on the Willingness of Doctors to Adopt Artificial Intelligence Aided Diagnosis and Treatment System Based on the UTAUT Model
- VernacularTitle:基于UTAUT模型的医生人工智能辅助诊疗系统采纳意愿研究
- Author:
Zihan ZHANG
1
;
Chen LUO
;
Zhibin JIANG
;
Na GENG
Author Information
1. 上海交通大学安泰经济与管理学院 上海 200030
- Keywords:
UTAUT model;
artificial intelligence;
aided diagnosis and treatment system;
willingness to adopt
- From:
Chinese Hospital Management
2024;44(9):79-83
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the doctor's willingness to adopt artificial intelligence aided diagnosis and treatment system(ADTS)and its influencing factors,clarify the key links in the implementation of ADTS,and then propose suggestions for optimizing technology and management.Methods On the basis of UTAUT model,factors such as perceived risk,cognitive trust and legal supervision were added to design a questionnaire.After pre-investigation,226 officially recovered questionnaire data were analyzed for reliability and validity,hypothesis testing and SEM fitting,and the relationship chain model of doctors'ADTS adoption intention was obtained.Results Performance expectation,cognitive trust and social influence have a direct positive impact on doctors'willingness,among which social influence has the greatest effect.Facilitating conditions and legal supervision have indirect influence.It also found that doctors who have used ADTS have higher scores in various aspects such as performance expectations,effort expectations,and learning adaptability.Conclusion To implement the application of ADTS,attention should be paid to training,the software and hardware operation and maintenance system,and risk responsibility regulations should be improved,requiring joint efforts from multiple parties.