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A Scalable Multi-Layer AI Adoption Model to Support the Comprehensive Goals of 6P Medicine
1Department of Artificial Intelligence and Informatics, Mayo Clinic, 200 1St Street SW, Rochester, Minnesota, 55905, USA.
Abstract:
Developing a scalable multi-layer AI adoption model for 6P medicine (Predictive, Preventive, Personalized, Participatory, Precision-oriented, and Public-centered) requires careful consideration of computational infrastructure, data processing and integration, healthcare-specific requirements, security and privacy, performance optimization, and system interoperability. The described multi-layer architecture in this work provides a flexible conceptual model to accommodate the diverse needs of AI implementation in different healthcare domains while maintaining scalability, security, governance, and efficiency.
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