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Table Of Contents
Architectures for the Intelligent AI-Ready Enterprise
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In this chapter, we demonstrated how skilled clinicians become data archaeologists rather than patient advocates, hunting through fragmented systems for essential information. As healthcare rushes toward an AI-powered future with GenAI and autonomous agents, there’s a dangerous risk of creating agentic silos, where disconnected AI systems operate without the complete clinical context, potentially scaling harm invisibly while appearing to save time.
The solution lies in unified data foundations built on document-oriented architectures that preserve healthcare’s natural information hierarchies while enabling AI innovation. By implementing the facade pattern, using standards such as HL7 FHIR as interface layers rather than structural constraints, healthcare organizations can achieve interoperability while maintaining data ownership and flexibility. Real-world implementations such as CentralReach demonstrate how AI-powered care coordination, natural language...
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