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	<title>HealthTech Startups &#8211; Santeware | Engineering Healthcare Data</title>
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	<description>&#124; Meeting Requirements &#124; Exceeding Expectations</description>
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		<title>AI Architecture in Healthcare: Vector Database vs SQL, REST vs gRPC, and System Design Choices That Scale</title>
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					<comments>https://santeware.com/ai-architecture-in-healthcare-vector-database-vs-sql-rest-vs-grpc-and-system-design-choices-that-scale/#respond</comments>
		
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		<pubDate>Thu, 05 Mar 2026 06:55:56 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[#AIHealthcare]]></category>
		<category><![CDATA[#BackendEngineering]]></category>
		<category><![CDATA[#DataEngineering]]></category>
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		<category><![CDATA[AI Architecture Healthcare]]></category>
		<category><![CDATA[AI in Healthcare]]></category>
		<category><![CDATA[AI Pipelines]]></category>
		<category><![CDATA[AI System Design]]></category>
		<category><![CDATA[API Architecture]]></category>
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		<category><![CDATA[Clinical Data Systems]]></category>
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		<category><![CDATA[FHIR Standards]]></category>
		<category><![CDATA[Future of Healthcare]]></category>
		<category><![CDATA[gRPC]]></category>
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		<category><![CDATA[SQL vs Vector Database]]></category>
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		<category><![CDATA[Unstructured Data]]></category>
		<category><![CDATA[Vector Database]]></category>
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					<description><![CDATA[Introduction Most healthcare systems were not designed for AI. They were built for structured data, predictable workflows, and stable interfaces. For years, architectural decisions—databases, APIs, and system design—remained unchanged once implemented. That assumption is now invalid. At Santeware Healthcare Solutions, we are seeing a clear shift: AI architecture in healthcare systems is evolving faster than [&#8230;]]]></description>
		
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