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Sarah Jaromin tracks AI policy across all 50 states. She's seen what happens when regulation moves faster than understan...
12/02/2026

Sarah Jaromin tracks AI policy across all 50 states. She's seen what happens when regulation moves faster than understanding.

Next week, she joins three other voices to break down the regulatory mess most health systems are navigating right now: overlapping state laws, conflicting federal guidance, and executive orders that raise more questions than they answer.

This isn't a compliance briefing. It's a practical conversation about what fragmented regulation actually means for clinical AI, where risk is shifting, and why governance has become the connective tissue between innovation and trust.

Join us, register here: https://hubs.ly/Q042FC4S0

ViVE always feels a little different from other healthcare conferences.It’s where ideas stop living in slides and start ...
10/02/2026

ViVE always feels a little different from other healthcare conferences.

It’s where ideas stop living in slides and start meeting operators.

Transparency matters. Oversight matters. Equity matters. But most organizations are now facing a harder problem: ex*****on. Models get approved, then drift. Use expands faster than monitoring. Governance exists on paper but struggles in production.

If you’re attending, we’d genuinely love to meet. Whether you’re early in evaluation or already managing a portfolio of models, the conversation is different now and we’re here for it.

Health systems are not stuck on whether to adopt clinical AI. They are stuck on how to do it responsibly, at scale, and ...
09/02/2026

Health systems are not stuck on whether to adopt clinical AI. They are stuck on how to do it responsibly, at scale, and in practice.

That tension is the heart of the foreword written by Lucy Orr-Ewing of CHAI in our latest executive brief.

Lucy lays out why governance has moved past theory. CHAI has spent years helping the field align on standards, not as abstract principles, but as tools health systems can actually use while deploying AI in real clinical environments.

It is a practical map for leaders who are already deploying AI and need governance that works on the ground.

Get the briefing here: https://hubs.ly/Q0425PMH0

Clinical AI research is advancing at a remarkable pace. Regulation is racing alongside it, often on a parallel track, no...
04/02/2026

Clinical AI research is advancing at a remarkable pace. Regulation is racing alongside it, often on a parallel track, not always intersecting where we expect.

For researchers, the questions are shifting. It’s no longer just what is possible, but what is defensible, reproducible, and responsibly deployable as new policies take shape at the state and federal level.

On February 19 at 12 CST, be joining a cross-disciplinary panel to discuss what today’s evolving regulations actually mean for clinical AI, from study design and validation to real-world implementation inside health systems.

We’ll explore what feels settled, what remains unclear, and how governance is becoming essential infrastructure for translating research into practice without eroding trust.

📅 February 19 | 12 CST

REGISTER HERE: https://hubs.ly/Q041lhyt0

Clinical AI governance has reached a turning point. Regulators, standards bodies, and clinical associations  now agree o...
04/02/2026

Clinical AI governance has reached a turning point. Regulators, standards bodies, and clinical associations now agree on the principles. Transparency. Oversight. Equity. The language of AI governance is mature.

But the ex*****on is not.

There is a widening gap between what organizations say they want from clinical AI and what their infrastructure can actually support. Intent is clear. Evidence at scale is not.

Beyond the Algorithm: Ensuring Clinical Validity at Scale, looks at why governance frameworks often stop at policy, and what it takes to operationalize them. Continuous monitoring. Real world performance. Accountability that holds up over time.

Because trust in clinical AI is not declared. It is built, measured, and maintained.

Special thanks to Coalition for Healthcare AI's Lucy Orr Ewing for writing the foreword on this piece.

Link in the comments to download the brief!

03/02/2026

Health systems are not hesitant because the cloud is unproven. They are hesitant because the path forward can feel unclear.

In this conversation, our Head of Strategic Alliances Randall asked of Google Cloud to talk about what actually unlocks progress. The cloud has shown it can drive real operational and cost efficiency. The difference is not the technology alone. It is how that technology fits into the broader organization.

Success comes from stepping back, understanding workflows, risk, and readiness, and choosing partners who know healthcare well enough to guide the work from strategy to ex*****on.

CHAI’s latest findings make one thing clear, trust is not built by algorithms. It is built by governance, oversight, and...
02/02/2026

CHAI’s latest findings make one thing clear, trust is not built by algorithms. It is built by governance, oversight, and operational discipline.

This is the work ahead for health systems. Not whether to use AI, but how to use it responsibly, visibly, and at scale.

Swipe through the data. Then ask the harder question, who owns AI in your organization?

Clinical AI is only as good as the governance behind it.It’s one thing to pilot a model; it’s another to scale it across...
26/01/2026

Clinical AI is only as good as the governance behind it.

It’s one thing to pilot a model; it’s another to scale it across a health system while maintaining total transparency and safety.

The Ferrum Health team is heading out to meet the builders and clinicians who are moving past the "hype" phase of AI and into the "infrastructure" phase. We’re bringing our latest insights on AI monitoring, ethical oversight, and clinical validation to the biggest stages in the industry.

We hope to see you there - let's chat!

We are thrilled to welcome Lucy Orr Ewing to our upcoming webinar on February 19th.As the Head of Policy and Strategy at...
23/01/2026

We are thrilled to welcome Lucy Orr Ewing to our upcoming webinar on February 19th.

As the Head of Policy and Strategy at the Coalition for Health AI (CHAI) she's at the epicenter of these shifts. She isn’t just watching the rules change; she’s helping build the frameworks, like CHAI’s Applied Model Cards, turning abstract "ethics" into clinical-grade validation.

This isn't just a policy lecture. It's a cross-disciplinary guide for CIOs, clinical leaders, and risk officers on how to make confident decisions in the middle of regulatory uncertainty.

📅 Date: February 19th
🕐 Time: 1:00 PM EST

Secure your spot at the link in the comment below! 👇

21/01/2026

There’s been a lot of momentum lately around AI that can find more, faster. And that’s important. But what we’re hearing from health systems right now goes one step further: What happens next?

Finding a critical insight is only half the job, what happens next is crucial. Ensuring the insight reliably turns into follow-up, coordination, and care delivery at scale. Without that, speed risks becoming noise.

That’s why this conversation stood out. In this video, we dig into what customers are actually asking for: the marriage between Pixel-level detection and automated care orchestration. Not just identifying issues, but closing the loop so patients don’t get lost between “flagged” and “treated.”

The next chapter isn’t just better triage. It’s measurable outcomes driven by connected workflows.

In just the past year, health systems have had to interpret a growing stack of state laws, federal guidance, executive o...
20/01/2026

In just the past year, health systems have had to interpret a growing stack of state laws, federal guidance, executive orders, and proposed rules governing AI. Some align. Some collide. Most land squarely on the desks of the people responsible for technology strategy, risk, and enterprise accountability.

The challenge isn’t just keeping up. It’s deciding how to move forward when the rules are still being written.

On February 19 at 12 CST, we’re hosting a candid conversation with four leaders shaping clinical AI from different vantage points: research, policy, responsible AI, and frontline healthcare delivery. Together, they’ll unpack what it all actually means.

Link to register: https://hubs.ly/Q03_vzD80

15/01/2026

Early-stage lung cancer is where outcomes are rewritten.

By integrating AI into clinical workflows, and deploying it responsibly through platforms like Ferrum Health, that curve has flipped. The latest data shows, more than 71% of patients are diagnosed at an early stage at Sutter Health, driven by better detection of small pulmonary nodules and faster, more reliable pathways to care.

This is what happens when clinically validated AI meets real-world workflow orchestration. Ferrum plays a critical role in helping health systems operationalize AI safely, consistently, and at scale, so innovation actually reaches patients.

For radiologists, these are the cases that matter most. Early detection means curative intent. It means disease-modifying, life-altering intervention.

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