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	<title>N3C &#8211; BIOENGINEER.ORG</title>
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		<title>Common EHR inclusion criteria quietly reshape who counts as a long COVID patient</title>
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		<pubDate>Tue, 27 Oct 2026 16:13:47 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Assessing]]></category>
		<category><![CDATA[BMC Medicine]]></category>
		<category><![CDATA[cohort representativeness]]></category>
		<category><![CDATA[data harmonization]]></category>
		<category><![CDATA[electronic health records]]></category>
		<category><![CDATA[Health disparities]]></category>
		<category><![CDATA[Healthcare utilization]]></category>
		<category><![CDATA[inclusion criteria]]></category>
		<category><![CDATA[Long COVID]]></category>
		<category><![CDATA[N3C]]></category>
		<category><![CDATA[regression models]]></category>
		<category><![CDATA[U09.9]]></category>
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					<description><![CDATA[A study of N3C data finds that common inclusion criteria such as requiring prior medical history or COVID-19 hospitalization substantially alter the demographic composition and utilization patterns of EHR-based long COVID cohorts.]]></description>
		
		
		
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