AI Archives - HIT Leaders and News

VA AI Contract Strategy Raises Veteran Care Stakes

Jason Free — Thu, 25 Jun 2026 19:31:07 +0000

The Department of Veterans Affairs is signaling that healthcare technology contractors will be judged less by incumbency and more by their ability to support modernization, artificial intelligence, and measurable operational outcomes. That message may sound like a procurement shift. In practice, it is a care delivery issue.

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Breast Cancer AI Screening Study Shows Six Year Early Detection Potential

Jason Free — Tue, 16 Jun 2026 12:33:19 +0000

A new mammography AI study should be read as both a promising signal and a governance challenge. The findings suggest that commercially available AI-based computer-assisted detection systems may identify elevated breast cancer risk years before radiologists make a diagnosis. That possibility could eventually reshape screening strategy, supplemental imaging decisions, and risk-based follow-up.

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AI Ambitions Meet Systemic Barriers in HHS Push for Clinical Adoption

Jason Free — Mon, 22 Dec 2025 12:46:36 +0000

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.

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HHS AI Strategy Sets a Federal Precedent, But Stops Short of Sector-Wide Reform

Jason Free — Mon, 08 Dec 2025 11:20:28 +0000

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.

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Unclear Liability Poses a Growing Risk in AI-Driven Healthcare

Jason Free — Mon, 20 Oct 2025 10:26:10 +0000

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.

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JAMA: AI Tools in Health Care Are Spreading Faster Than We Can Govern Them

Jason Free — Mon, 20 Oct 2025 10:07:24 +0000

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.

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AI Reporting Tools Now Carry RSNA’s Institutional Voice

Jason Free — Wed, 15 Oct 2025 11:35:23 +0000

The recent collaboration between RSNA Ventures and Rad AI marks a significant evolution in the role that professional societies can play in applied innovation.

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AI Integration at Michigan Medicine Highlights New Fault Lines in Clinical Culture

Jason Free — Wed, 15 Oct 2025 10:39:54 +0000

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.

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Federal AI Override Proposal Puts Clinical Autonomy Back in Focus

Jason Free — Mon, 13 Oct 2025 12:24:30 +0000

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.

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Radiology Leaders Push for Structured AI Competency

Jason Free — Mon, 13 Oct 2025 11:23:48 +0000

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.

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