Abstract
The present investigation aims to examine the influence of various facilitators and biases on the behavioral intention (BI), which in turn lead to actual implementation of Artificial Intelligence (AI) in healthcare. Further to get a comprehensive viewpoint, the study attempts to observe the impact of actual implementation on perceived sustainable performance. Data for the current study were collected from 600 healthcare practitioners who use AI tools to treat patients. To analyze the linkages between exogenous and endogenous constructs Structural Equation Modeling (through AMOS software) was performed. The results indicated that out of eleven facilitators, eight significantly influenced BI to adopt AI. The findings for biases depicted that out of six biases three (Historical, Evaluation and Algorithmic) were supported. Furthermore, findings suggest that BI has a direct positive influence on actual implementation of AI which in turn positively contributes to perceived sustainable performance. The observations of this study could be helpful for practitioners and academicians. It may be used to determine which AI-supported approaches should be used for certain designs in the healthcare sector. Though this research provides valuable insights for healthcare professionals, yet it has certain limitations which may be used by researchers to build frameworks.
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