Research on the Willingness of Doctors to Adopt Artificial Intelligence Aided Diagnosis and Treatment System Based on the UTAUT Model
Zhang Zihan
Luo Chen
Jiang Zhibin
Geng Na
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.
Keywords：UTAUT modelartificial intelligenceaided diagnosis and treatment systemwillingness to adopt
Publication Date：2024-09-05
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 79-83 )