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	<title>AI Archives - HIT Leaders and News</title>
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	<description>Healthcare Innovations and technology news and views</description>
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		<title>AI Ambitions Meet Systemic Barriers in HHS Push for Clinical Adoption</title>
		<link>https://us.hitleaders.news/government/49904/ai-ambitions-meet-systemic-barriers-in-hhs-push-for-clinical-adoption/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-ambitions-meet-systemic-barriers-in-hhs-push-for-clinical-adoption</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 22 Dec 2025 12:46:36 +0000</pubDate>
				<category><![CDATA[Government]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[HHS]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49904</guid>

					<description><![CDATA[<p>The U.S. Department of Health and Human Services (HHS) has issued a sweeping Request for Information (RFI) to identify how artificial intelligence (AI) can accelerate clinical transformation across the American healthcare system. Framed as a call to harness AI for lower costs and improved care, the initiative invites input on everything from evolving reimbursement frameworks to rethinking regulatory pathways. But beneath the enthusiasm lies a complex set of operational, legal, and ethical dynamics that will shape whether these ambitions translate into scalable realities.</p>
<p>The post <a href="https://us.hitleaders.news/government/49904/ai-ambitions-meet-systemic-barriers-in-hhs-push-for-clinical-adoption/">AI Ambitions Meet Systemic Barriers in HHS Push for Clinical Adoption</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>HHS AI Strategy Sets a Federal Precedent, But Stops Short of Sector-Wide Reform</title>
		<link>https://us.hitleaders.news/government/49883/hhs-ai-strategy-sets-a-federal-precedent-but-stops-short-of-sector-wide-reform/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=hhs-ai-strategy-sets-a-federal-precedent-but-stops-short-of-sector-wide-reform</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 08 Dec 2025 11:20:28 +0000</pubDate>
				<category><![CDATA[Government]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[HHS]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49883</guid>

					<description><![CDATA[<p>The U.S. Department of Health and Human Services (HHS) has released its first unified artificial intelligence (AI) strategy, positioning AI as a transformative tool for internal operations, public health research, and care modernization. Framed as a “OneHHS” approach, the strategy invites coordination across all departmental divisions, including CDC, CMS, FDA, and NIH.</p>
<p>The post <a href="https://us.hitleaders.news/government/49883/hhs-ai-strategy-sets-a-federal-precedent-but-stops-short-of-sector-wide-reform/">HHS AI Strategy Sets a Federal Precedent, But Stops Short of Sector-Wide Reform</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<item>
		<title>Unclear Liability Poses a Growing Risk in AI-Driven Healthcare</title>
		<link>https://us.hitleaders.news/core-categories/ai-machine-learning/artificial-intelligence/49783/unclear-liability-poses-a-growing-risk-in-ai-driven-healthcare/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=unclear-liability-poses-a-growing-risk-in-ai-driven-healthcare</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 20 Oct 2025 10:26:10 +0000</pubDate>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[JAMA]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49783</guid>

					<description><![CDATA[<p>As artificial intelligence continues its rapid integration into clinical workflows, a looming liability vacuum threatens to destabilize trust, governance, and accountability in patient care. While AI tools promise greater efficiency, diagnostic power, and operational agility, legal experts are raising alarms about the absence of clearly defined fault lines when outcomes go wrong.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/ai-machine-learning/artificial-intelligence/49783/unclear-liability-poses-a-growing-risk-in-ai-driven-healthcare/">Unclear Liability Poses a Growing Risk in AI-Driven Healthcare</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>JAMA: AI Tools in Health Care Are Spreading Faster Than We Can Govern Them</title>
		<link>https://us.hitleaders.news/core-categories/ai-machine-learning/49779/jama-ai-tools-in-health-care-are-spreading-faster-than-we-can-govern-them/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=jama-ai-tools-in-health-care-are-spreading-faster-than-we-can-govern-them</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 20 Oct 2025 10:07:24 +0000</pubDate>
				<category><![CDATA[AI/Machine Learning]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[JAMA]]></category>
		<category><![CDATA[JAMA Summi]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49779</guid>

					<description><![CDATA[<p>Artificial intelligence is already shaping how care is delivered, how health systems operate, and how patients access services. But the rapid pace of AI adoption is exposing a foundational gap: health care lacks the infrastructure, incentives, and oversight mechanisms to evaluate whether these tools are actually improving health outcomes.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/ai-machine-learning/49779/jama-ai-tools-in-health-care-are-spreading-faster-than-we-can-govern-them/">JAMA: AI Tools in Health Care Are Spreading Faster Than We Can Govern Them</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>AI Reporting Tools Now Carry RSNA’s Institutional Voice</title>
		<link>https://us.hitleaders.news/imaging/49760/ai-reporting-tools-now-carry-rsnas-institutional-voice/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-reporting-tools-now-carry-rsnas-institutional-voice</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 15 Oct 2025 11:35:23 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[peer-reviewed radiology content]]></category>
		<category><![CDATA[Rad AI]]></category>
		<category><![CDATA[RSNA]]></category>
		<category><![CDATA[RSNA Ventures]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49760</guid>

					<description><![CDATA[<p>The recent collaboration between RSNA Ventures and Rad AI marks a significant evolution in the role that professional societies can play in applied innovation.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49760/ai-reporting-tools-now-carry-rsnas-institutional-voice/">AI Reporting Tools Now Carry RSNA’s Institutional Voice</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<title>AI Integration at Michigan Medicine Highlights New Fault Lines in Clinical Culture</title>
		<link>https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/49772/ai-integration-at-michigan-medicine-highlights-new-fault-lines-in-clinical-culture/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=ai-integration-at-michigan-medicine-highlights-new-fault-lines-in-clinical-culture</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 15 Oct 2025 10:39:54 +0000</pubDate>
				<category><![CDATA[Editor's Picks & Featured Content]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[frontline care]]></category>
		<category><![CDATA[medical training]]></category>
		<category><![CDATA[Michigan Medicine]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49772</guid>

					<description><![CDATA[<p>As artificial intelligence tools become more deeply embedded in health system operations, some of the most significant challenges are no longer technical, but cultural. At Michigan Medicine, clinicians and educators are already navigating the practical tensions that come with introducing AI into frontline care and medical training.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/editors-picks-and-featured-content/49772/ai-integration-at-michigan-medicine-highlights-new-fault-lines-in-clinical-culture/">AI Integration at Michigan Medicine Highlights New Fault Lines in Clinical Culture</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>Federal AI Override Proposal Puts Clinical Autonomy Back in Focus</title>
		<link>https://us.hitleaders.news/government/49770/federal-ai-override-proposal-puts-clinical-autonomy-back-in-focus/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=federal-ai-override-proposal-puts-clinical-autonomy-back-in-focus</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 13 Oct 2025 12:24:30 +0000</pubDate>
				<category><![CDATA[Government]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[Clinical Decision Making]]></category>
		<category><![CDATA[human override option]]></category>
		<category><![CDATA[Right to Override Act]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49770</guid>

					<description><![CDATA[<p>A new federal proposal could force the healthcare industry to fundamentally reassess how artificial intelligence is embedded in patient care. Introduced by Senator Ed Markey during a recent Senate Health, Education, Labor, and Pensions Committee hearing, the Right to Override Act would require any AI system involved in clinical decision-making to include a human override option.</p>
<p>The post <a href="https://us.hitleaders.news/government/49770/federal-ai-override-proposal-puts-clinical-autonomy-back-in-focus/">Federal AI Override Proposal Puts Clinical Autonomy Back in Focus</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
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		<item>
		<title>Radiology Leaders Push for Structured AI Competency</title>
		<link>https://us.hitleaders.news/imaging/49756/radiology-leaders-push-for-structured-ai-competency/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=radiology-leaders-push-for-structured-ai-competency</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 13 Oct 2025 11:23:48 +0000</pubDate>
				<category><![CDATA[Imaging]]></category>
		<category><![CDATA[AAPM]]></category>
		<category><![CDATA[ACR]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[radiology]]></category>
		<category><![CDATA[RSNA]]></category>
		<category><![CDATA[SIIM]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49756</guid>

					<description><![CDATA[<p>The accelerating integration of artificial intelligence in medical imaging is a present-state imperative. As radiology departments increasingly adopt AI tools to support diagnostics, workflow optimization, and quality assurance, the conversation has shifted from if to how. Yet even as algorithm performance improves, a critical challenge persists: how to equip the radiology workforce with the knowledge required to safely evaluate, implement, and oversee these tools across diverse clinical settings.</p>
<p>The post <a href="https://us.hitleaders.news/imaging/49756/radiology-leaders-push-for-structured-ai-competency/">Radiology Leaders Push for Structured AI Competency</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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		<item>
		<title>VA’s AI Strategy Shifts from Ambition to Infrastructure</title>
		<link>https://us.hitleaders.news/government/49754/vas-ai-strategy-shifts-from-ambition-to-infrastructure/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=vas-ai-strategy-shifts-from-ambition-to-infrastructure</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Wed, 08 Oct 2025 20:28:45 +0000</pubDate>
				<category><![CDATA[Government]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[EHR]]></category>
		<category><![CDATA[electronic health record]]></category>
		<category><![CDATA[VA]]></category>
		<category><![CDATA[Veterans Administration]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49754</guid>

					<description><![CDATA[<p>The Department of Veterans Affairs (VA) has released an expansive roadmap for operationalizing artificial intelligence, articulating a five-priority strategy to embed AI across clinical, administrative, and support functions. While many federal AI initiatives remain aspirational, the VA’s plan marks a notable shift: from proof-of-concept pilots toward foundational infrastructure, system-wide governance, and workforce-scale enablement.</p>
<p>The post <a href="https://us.hitleaders.news/government/49754/vas-ai-strategy-shifts-from-ambition-to-infrastructure/">VA’s AI Strategy Shifts from Ambition to Infrastructure</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Oracle’s Patient-Facing AI May Challenge Industry’s Comfort with Complexity</title>
		<link>https://us.hitleaders.news/core-categories/electronic-health-records/49695/oracles-patient-facing-ai-may-challenge-industrys-comfort-with-complexity/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=oracles-patient-facing-ai-may-challenge-industrys-comfort-with-complexity</link>
		
		<dc:creator><![CDATA[Jason Free]]></dc:creator>
		<pubDate>Mon, 15 Sep 2025 12:08:32 +0000</pubDate>
				<category><![CDATA[Electronic Health Records]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[EHR]]></category>
		<category><![CDATA[electronic health record]]></category>
		<category><![CDATA[Oracle]]></category>
		<category><![CDATA[patient portal]]></category>
		<guid isPermaLink="false">https://us.hitleaders.news/?p=49695</guid>

					<description><![CDATA[<p>With its latest move to embed conversational AI into the Oracle Health Patient Portal, Oracle has entered a delicate corner of healthcare: the interface between patients and their own medical data. This shift, announced during the Oracle Health and Life Sciences Summit in Orlando, aims to give patients plain-language summaries of their diagnoses, test results, and treatment options, an advance that reflects growing interest in patient-centric AI but also surfaces new regulatory and operational questions.</p>
<p>The post <a href="https://us.hitleaders.news/core-categories/electronic-health-records/49695/oracles-patient-facing-ai-may-challenge-industrys-comfort-with-complexity/">Oracle’s Patient-Facing AI May Challenge Industry’s Comfort with Complexity</a> appeared first on <a href="https://us.hitleaders.news">HIT Leaders and News</a>.</p>
]]></description>
		
		
		
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