1. Medical practitioner's adoption of intelligent clinical diagnostic decision support systems: A mixed-methods study
- Author
-
Saini Das and Ashish Viswanath Prakash
- Subjects
Expectancy theory ,Status quo bias ,Decision support system ,Information Systems and Management ,Transformational leadership ,Applied psychology ,Resistance (psychoanalysis) ,Unified theory of acceptance and use of technology ,Psychology ,Information Systems ,Management Information Systems ,Social influence ,Test (assessment) - Abstract
Artificial intelligence-based clinical diagnostic decision support systems promise transformational improvements in doctors’ efficiency and accuracy. Nevertheless, low adoption rates suggest that this innovation could fail without adequate uptake. This study uses a mixed-methods approach to develop and test a model based on theories of Unified Theory of Acceptance and Use of Technology, status quo bias, and technology trust. The results show that performance expectancy, effort expectancy, social influence, initial trust, and resistance to change predict intention to use. Further, inertia, perceived threat, and risks (medico-legal and performance) determine resistance to change. Measures for alleviating resistance and improving adoption are proposed.
- Published
- 2021
- Full Text
- View/download PDF