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		<title>A Guide to Healthcare Data Models: From Patient Records to Interoperability, Claims &#038; AI</title>
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		<pubDate>Mon, 26 Oct 2026 06:57:40 +0000</pubDate>
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					<description><![CDATA[Healthcare data and interoperability Why healthcare data models matter Healthcare information is created across electronic health records, laboratories, imaging systems, pharmacies, billing platforms, insurers and research databases. Each system may structure and describe information differently. Healthcare data models help organize that information so it can be stored, exchanged, compared and used consistently. A data model [&#8230;]]]></description>
		
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		<title>FHIR + AI in Healthcare: From Interoperable Health Data to Intelligent Healthcare</title>
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					<description><![CDATA[Healthcare Data &#124; FHIR Interoperability &#124; Artificial Intelligence &#124; Healthcare Automation Introduction Healthcare organizations today rely on multiple systems to manage patient information, clinical encounters, laboratory results, medications, diagnostic reports, claims, and remote patient monitoring data. Although these systems generate valuable information, connecting it and making it useful across different healthcare workflows remains a significant [&#8230;]]]></description>
		
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