Bridging the Rigidity Gap: Deploying Secure Agentic RAG in Healthcare Governance
In the healthcare industry, data is both an organization's most valuable asset and its most heavily guarded liability. While industries like e-commerce and retail fast-track generative AI prototypes into production overnight, healthcare operates under strict regulatory constraints. When healthcare stakeholders try to adopt Retrieval-Augmented Generation (RAG) and autonomous AI agent architectures, they face a frustrating paradox: the clinical front lines demand flexible, intelligent context, wh...
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