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		<title>Eliminating Hardcoded Credentials</title>
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		<pubDate>Thu, 15 Oct 2026 10:52:24 +0000</pubDate>
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		<category><![CDATA[create targeted keyword in #: Healthcare Generative AI]]></category>
		<category><![CDATA[FHIR RAG pipeline]]></category>
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					<description><![CDATA[🔐 Why Dynamic Secrets Matter in Multi-Database Healthcare Architectures In modern healthcare IT, data sprawl is inevitable. A single digital health platform frequently coordinates transactional patient state in PostgreSQL, complex clinical document graphs in MongoDB, real-time HL7/FHIR event queues in Redis or Kafka, and longitudinal analytics in cloud warehouses. The Static Credential Vulnerability: When microservices [&#8230;]]]></description>
		
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		<title>FROM EPIC CLARITY TO DATABRICKS AND MICROSOFT FABRIC</title>
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		<dc:creator><![CDATA[superadmin]]></dc:creator>
		<pubDate>Thu, 15 Oct 2026 08:38:19 +0000</pubDate>
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					<description><![CDATA[Home › Resources › Whitepapers Santeware Whitepaper From Epic Clarity to Databricks and Microsoft Fabric A vendor-neutral guide to Epic data sources, ETL, federated SQL, and FHIR APIs. Learn how to connect Epic data with modern analytics platforms using practical integration patterns, clear governance, and architecture built around your organization’s needs. ▤Epic data sourcesClarity, Caboodle [&#8230;]]]></description>
		
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		<title>Beyond the Prompt: Building Deterministic Guardrails for GenAI in Clinical Workflows</title>
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					<comments>https://santeware.com/beyond-the-prompt-building-deterministic-guardrails-for-genai-in-clinical-workflows/#respond</comments>
		
		<dc:creator><![CDATA[superadmin]]></dc:creator>
		<pubDate>Thu, 15 Oct 2026 07:35:54 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[#Healthcare Generative AI]]></category>
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					<description><![CDATA[The healthcare industry has officially moved past the initial awe of Large Language Models (LLMs). We know generative AI can draft clinical discharge summaries in seconds, summarize thousands of pages of longitudinal medical records, and synthesize lab results with impressive fluency. The Core Engineering Challenge: How do we introduce a non-deterministic, probabilistic engine into an [&#8230;]]]></description>
		
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