AI Governance Archives - HIT Leaders and News

The Doximity–OpenEvidence Lawsuit Could Redefine AI IP Boundaries in Healthcare

Jason Free — Tue, 23 Sep 2025 11:45:23 +0000

A legal feud between Doximity and OpenEvidence has pulled into sharp relief the growing pains of healthcare artificial intelligence, particularly where innovation meets intellectual property. At the center of the case are allegations that Doximity used fake physician accounts to "prompt hack" OpenEvidence’s AI platform, extracting proprietary inputs and underlying logic. Doximity denies the claims and has countersued for defamation.

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The Real Risk Is Not AI Failure but Success Without Oversight

Jason Free — Wed, 25 Jun 2025 12:07:47 +0000

There is growing consensus that AI in healthcare will transform how care is delivered, documented, billed, and evaluated. But there is much less consensus around how it should be governed. As hospitals rush to embed generative and predictive models into everyday workflows, few have a systemwide strategy to ensure fairness, transparency, and accountability are more than just talking points.

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Jim Younkin Explains What Responsible AI in Healthcare Really Requires

Jason Free — Wed, 18 Jun 2025 11:51:29 +0000

AI is moving fast, but governance is moving slow. That tension is at the heart of this week’s conversation with Jim Younkin, MBA, senior director at Audacious Inquiry, a PointClickCare company. Younkin brings nearly three decades of experience in health IT strategy and federal programs, and today he is one of the few voices speaking plainly about what responsible AI should mean in practice, not just theory.

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AI Certification Marks the Beginning of Real Governance in Clinical Technology

Jason Free — Thu, 12 Jun 2025 17:02:10 +0000

The Joint Commission and the Coalition for Health AI have initiated what may become the most influential governance infrastructure for artificial intelligence in healthcare to date. Their new partnership, which will produce operational playbooks and a national certification program, signals a shift away from speculative use of AI tools toward institutional accountability.

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Why Responsible AI Starts Before the First Algorithm

Jason Free — Wed, 11 Jun 2025 11:45:08 +0000

There is no shortage of AI in healthcare, but there is a shortage of discipline in how it is applied. As health systems accelerate adoption of machine learning tools for documentation, triage, imaging analysis, and patient engagement, many are also encountering the hard ceiling of what happens when innovation outpaces governance.

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CMS Cracks Down on Algorithmic Denials in Medicare Advantage: AI Governance Moves from Ethics to Enforcement

Jason Free — Thu, 22 May 2025 11:58:40 +0000

The Centers for Medicare & Medicaid Services (CMS) has formally proposed regulatory guardrails targeting the unaccountable use of artificial intelligence in Medicare Advantage prior authorization systems. Published as part of the April 2025 final rule (CMS-4208-F), the policy targets automation bias and opacity by mandating transparency, interoperability, and annual equity audits. The trigger: systemic evidence that machine learning tools have enabled improper denials of medically necessary care—particularly in post-acute settings.

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AI Governance That Doesn’t Suck: Operationalizing Guardrails in Clinical Tech

Jason Free — Thu, 01 May 2025 16:42:37 +0000

“Responsible AI” is now the default tagline for every healthcare vendor with a model, a dashboard, or an ambient companion. But behind the polished press releases and patient-facing chatbots, governance remains an afterthought—especially when AI moves from the lab to the live EHR. If clinical IT leaders don’t seize control of the governance conversation, they’ll end up responding to policy shaped by PR departments and vendor sales decks instead of operational reality.

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Responsible by Design: Building AI Governance That Actually Works

Jason Free — Fri, 11 Apr 2025 11:30:13 +0000

If artificial intelligence is to fulfill its promise in healthcare—to help detect disease earlier, reduce disparities, and personalize care—then it must be governed with as much care as it is built. That means AI can’t just be powerful. It must also be responsible.

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WHO Announces New Collaborating Center on AI for Health Governance

Jason Free — Wed, 12 Mar 2025 23:06:03 +0000

The World Health Organization (WHO) designated the Digital Ethics Centre at Delft University of Technology in the Netherlands as a WHO Collaborating Centre on artificial intelligence (AI) for health governance.

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Report: Health System Cybersecurity Budgets Increasing, But Lack of AI Governance Threatens Security

Jason Free — Mon, 03 Mar 2025 13:03:41 +0000

Healthcare organizations are making significant progress in strengthening their security posture, though there are several critical areas in need of improvement, according to recently released HIMSS analysis.

The 2024 HIMSS Healthcare Cybersecurity Survey Report, the latest edition of an annual survey of healthcare cybersecurity professionals, found a need for more robust insider threat programs, improved third-party risk management and better monitoring of artificial intelligence use.

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