Driving AI Adoption in Healthcare: The Crucial Role of Training and Education
Abstract
This article investigates the drivers of Artificial Intelligence (AI) adoption in healthcare. Using the Technology Acceptance Model (TAM) as a theoretical framework, the study explores key dimensions such as the perceived usefulness of AI, its ease of use, as well as other relevant variables. By analyzing these factors, the article aims to better understand healthcare professionals' attitudes and perceptions towards AI, and to identify potential barriers to its adoption. By highlighting these elements, the article proposes recommendations to foster the effective adoption of AI in healthcare, emphasizing the crucial importance of training and education in this process.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Technology Adoption and User Behaviour
Electronic Health Records Systems
Publication details
- Journal / source
- TEM Journal
- Volume
- 15
- Issue
- 1
- Pages
- 933–933
- Publication date
- 27 February 2026
- Language
- EN