Abstract
Background: Artificial Intelligence (AI) has transformative potential in healthcare, and it is very useful in areas such as drug discovery, diagnostics, and patient management. However, there is a lack of tools to assess healthcare organizations’ readiness to adopt AI technologies. This study introduces the AI Readiness Five Dimension (AIR-5D) framework, addressing this gap. Methods: The AIR-5D framework was developed using a two-step process: identifying dimensions of AI readiness from literature and weighing these dimensions through expert focus groups. The Analytical Hierarchy Process (AHP) was employed to calculate weights, ensuring consistency and reliability. Results: The results identified five key dimensions: Opportunity Discovery (0.44), Data Management 90.22), IT Environment and Security (0.194), Risk Privacy and Governance (0.101), and Adoption of Technology (0.043). “Opportunity Discovery” was the most critical dimension, while “Adoption of Technology” ranked lowest. Six case studies demonstrated varying AI readiness (score between 3 and 4 on a scale of 5), highlighting challenges in moving beyond AI collaboration to optimization. Conclusions: The AIR-5D framework offers a structured approach for healthcare organizations to assess and enhance their AI readiness. It emphasizes the importance of understanding value, robust data management, and strategic alignment in successful AI adoption.
Published Version
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