Artificial Intelligence (AI) holds great promise for transforming healthcare, from predictive analytics to advanced robotic procedures. However, evidence shows that without foundational infrastructure—technological, organizational, educational, and ethical—AI’s full potential cannot be realized. Many hospitals lack this foundational readiness, and premature AI adoption often leads to inefficiencies, safety concerns, and missed opportunities.
To guide healthcare organizations toward effective AI deployment, a two-step Design Science Research (DSR) and Consolidated Framework for Implementation Research (CFIR) approach:
1.DSR:It identifies five critical digital transformation themes—organizational alignment, governance, data usability, knowledge sharing, and clinical integration—and maps them to five proven frameworks: Enterprise Architecture (EA), IT Governance, FAIR data principles, Knowledge Management (KM), and Clinical Decision Support Systems (CDSS). These frameworks help address interoperability, data governance, training, collaboration, and clinical integration as prerequisites for AI readiness.
2.CFIR : The strategies in five key areas: (1) upgrading digital infrastructure via phased, stakeholder-informed integration; (2) developing robust, ethical, and adaptive data governance policies; (3) investing in workforce training and interdisciplinary collaboration; (4) establishing partnerships with external institutions; and (5) implementing continuous feedback and evaluation systems. These actionable recommendations help bridge the gap between organizational readiness and AI’s potential.
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