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	<title>Clinical Data Archives - HIT Leaders and News</title>
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		<title>The Interface Architect: The Most Powerful People You’ve Never Heard Of in Healthcare IT</title>
		<link>https://us.hitleaders.news/clinical-it/48635/the-interface-architect-the-most-powerful-people-youve-never-heard-of-in-healthcare-it/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=the-interface-architect-the-most-powerful-people-youve-never-heard-of-in-healthcare-it</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 11 Jun 2025 11:46:56 +0000</pubDate>
				<category><![CDATA[Clinical IT]]></category>
		<category><![CDATA[Clinical Data]]></category>
		<category><![CDATA[Interface Architect]]></category>
		<category><![CDATA[Most Powerful People You’ve Never Heard Of in Healthcare IT]]></category>
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					<description><![CDATA[<p>They rarely speak at conferences. They almost never appear in press releases. But deep inside every healthcare system’s IT stack, one figure decides whether your technology lives or dies: the interface architect.</p>
<p>The post <a href="https://us.hitleaders.news/clinical-it/48635/the-interface-architect-the-most-powerful-people-youve-never-heard-of-in-healthcare-it/">The Interface Architect: The Most Powerful People You’ve Never Heard Of in Healthcare IT</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>Layer Health Secures $21M to Scale AI Chart Review: What It Means for Clinical Data Integrity and Hospital Operations</title>
		<link>https://us.hitleaders.news/core-categories/revenue-cycle-management-and-finance/47815/layer-health-secures-21m-to-scale-ai-chart-review-what-it-means-for-clinical-data-integrity-and-hospital-operations/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=layer-health-secures-21m-to-scale-ai-chart-review-what-it-means-for-clinical-data-integrity-and-hospital-operations</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Thu, 10 Apr 2025 12:59:42 +0000</pubDate>
				<category><![CDATA[Revenue Cycle Management & Finance ]]></category>
		<category><![CDATA[Clinical Data]]></category>
		<category><![CDATA[Hospital Operations]]></category>
		<category><![CDATA[Large language models]]></category>
		<category><![CDATA[Layer Health]]></category>
		<category><![CDATA[LLMs]]></category>
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					<description><![CDATA[<p>Layer Health, a healthcare AI company founded by former MIT, Harvard, Microsoft, and Google technologists, has raised $21 million in Series A funding to expand its chart abstraction and clinical inference platform. The round was led by Define Ventures, with participation from Flare Capital, GV (formerly Google Ventures), and MultiCare Capital Partners—underscoring the platform’s relevance across health systems, digital health, and life sciences.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/revenue-cycle-management-and-finance/47815/layer-health-secures-21m-to-scale-ai-chart-review-what-it-means-for-clinical-data-integrity-and-hospital-operations/">Layer Health Secures $21M to Scale AI Chart Review: What It Means for Clinical Data Integrity and Hospital Operations</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<title>GE HealthCare Announces Publication on Artificial Intelligence Models Leveraging Routinely Collected Clinical Data to Predict Patient Response to Immunotherapy</title>
		<link>https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/42378/ge-healthcare-announces-publication-on-artificial-intelligence-models-leveraging-routinely-collected-clinical-data-to-predict-patient-response-to-immunotherapy/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ge-healthcare-announces-publication-on-artificial-intelligence-models-leveraging-routinely-collected-clinical-data-to-predict-patient-response-to-immunotherapy</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Tue, 12 Mar 2024 11:57:22 +0000</pubDate>
				<category><![CDATA[Editor's Picks & Featured Content]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<category><![CDATA[Clinical Data]]></category>
		<category><![CDATA[GE Healthcare]]></category>
		<category><![CDATA[immunotherapy]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=42378</guid>

					<description><![CDATA[<p>A study of GE HealthCare Artificial Intelligence (AI) models, which have demonstrated the ability to predict patients’ responses to immunotherapies with 70 to 80 percent accuracy based on a pan-cancer cohort, leveraged routinely collected clinical data to accurately forecast effectiveness and toxicities of cancer immunotherapy [2], according to an article published in the Journal of Clinical Oncology Clinical Cancer Informatics (JCO CCI).</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/42378/ge-healthcare-announces-publication-on-artificial-intelligence-models-leveraging-routinely-collected-clinical-data-to-predict-patient-response-to-immunotherapy/">GE HealthCare Announces Publication on Artificial Intelligence Models Leveraging Routinely Collected Clinical Data to Predict Patient Response to Immunotherapy</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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