Accelerating AI in Healthcare: Fix Data Infrastructure Before AI Fails Become a Board Priority

Healthcare AI initiatives are failing at high rates not because of model quality but due to fragmented, legacy data infrastructure. With 85% of failures attributed to poor data quality or infrastructure, the core issue is that most healthcare systems were built for batch ETL and relational databases, not real-time AI workloads. FHIR (Fast Healthcare Interoperability Resources) has become both a regulatory mandate and a technical foundation for modern healthcare platforms, but implementing it at scale is complex. Couchbase positions its distributed NoSQL platform as a solution by natively storing FHIR JSON resources, supporting full-text search on nested documents, enabling multi-region deployments, and consolidating operational, analytics, and AI vector workloads on a single platform while maintaining HIPAA and GDPR compliance. The post also highlights the CMS ACCESS Model as a new reimbursement framework that makes FHIR API infrastructure financially critical for healthcare organizations.

Nguồn: https://www.couchbase.com/blog/accelerating-ai-in-healthcare-fix-data-infrastructure-before-ai-fails-become-a-board-priority. 8sync News chỉ tóm tắt và dẫn link; bản quyền nội dung thuộc tác giả và nguồn gốc.

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