Your AI systems are dynamic. Your governance model was built for predictable IT. EisnerAmper helps health systems close that gap — so you can adopt AI faster without putting patients at risk.
Who This Is For
For decades, Controlling the Predictable was the right approach — and it deserved to be. Your EHR is static. Your billing system behaves the same way every time. Traditional IT governance was built for systems whose behavior you could anticipate. AI shattered that assumption. AI is dynamic, self-learning, and continuously evolving. It drifts. It changes its own behavior based on new data. And right now, most health systems are governing it with tools designed for something fundamentally different.
AI is a layer embedded inside systems you already own. Epic has it. Cerner has it. Your scheduling tool has it. You did not buy "AI" — it showed up inside things you already approved.
Features are activated automatically with software updates. The health system discovers AI is making clinical suggestions it never requested or approved.
Health systems say the provider approves all AI results. But providers can’t catch most AI errors — and now they bear the malpractice liability for decisions they didn’t make. That’s not governance. It’s risk displacement.
Departments and individual clinicians are using AI tools that IT and leadership do not know about. Only 29% of hospitals have enforced AI governance policies.
47 states introduced 250+ AI bills in 2025. 33 became law. The Joint Commission released AI governance guidance. Only 22% of hospitals can produce an AI audit trail in 30 days.
Most health system boards cannot answer a basic question: what AI is running in our organization right now, and can we defend it?
The old game served healthcare well for decades. But AI is not predictable IT. Here is what changes when you move to Safe AI Adoption.
| Old Game Controlling the Predictable | What Matters Most | New Game Safe AI Adoption |
|---|---|---|
| Static | The System | Dynamic |
| Test & close | Governance | Continuous |
| Displaced | Risk | Shared |
| Vendor trust | Validation | Independent |
| Budget risk | What’s at Stake | Patient safety |
Each service is designed to move your organization from controlling the predictable to mastering the unpredictable — with measurable safety outcomes, not just deliverables.
Rapid assessment of AI use across your entire health system. Identifies what AI is currently running — including vendor-activated and shadow AI — across every department.
Translates the AI assessment into executive-level risk maps. Builds an ROI accountability framework so every AI investment has measurable performance criteria.
Designs and operationalizes governance aligned with your existing policies, structured around the Five Pillars of AI Adoption across three deployment phases.
Integrates AI safety controls directly into Epic, Cerner, Altera and other EHR systems. Governance embedded where clinical decisions are actually made.
145-question evaluation framework with color-coded scoring across 10 categories. Built and proven at Mount Sinai Medical Center.
Frameworks to reduce AI-related malpractice claims, compliance breaches, and reputational harm. Addresses the "human-in-the-loop" liability gap.
Supports health systems in completing SAFER Guide self-attestation for EHR safety and optimization — a critical compliance requirement.
You don't need to overhaul everything at once. Here's the path every health system follows.
You request an AI Readiness Score. We assess what AI is running across your organization, where the governance gaps are, and how you compare to peers.
We deliver a custom governance roadmap with priorities, timelines, and board-ready recommendations tailored to your health system.
You implement with us by your side. Continuous monitoring, clinical controls, and safety validation as your AI governance program matures.
“AI isn’t a system you buy. It’s a layer embedded inside systems you already own. The question isn’t whether to adopt it — it’s whether you can prove it’s safe.”
EisnerAmper Digital Health
Every engagement is structured around our proven AI adoption methodology — ensuring governance covers your entire organization, not just IT.
"Their expertise, responsiveness, and commitment to quality were instrumental in creating a process that aligns with best practices in AI governance and compliance."
Tom Gillette — CIO, Mount Sinai Medical Center
Every month without AI governance is another month of accumulating risk your organization cannot see, measure, or defend.
AI is making clinical recommendations right now. If one leads to a misdiagnosis, can you prove your governance was in place? Malpractice claims rose 14% in two years.
33 new state AI laws passed in 2025. The Joint Commission released AI governance guidance. Only 22% of hospitals can produce an audit trail in 30 days. The window is closing.
Your board is asking about AI. Can you tell them exactly what is running, what it risks, and what it returns? Or just that you "invested in technology"?
“Human in the loop” sounds responsible. In practice, it means your physicians and nurses bear malpractice liability for AI errors they cannot catch. Trust erodes. Burnout accelerates. Talent leaves.
Millions spent on AI with no framework to measure value. The CFO sees cost. The board sees risk. Nobody sees performance.
The health systems that govern AI well will attract talent, patients, and partnerships. The ones that don't will explain why they didn't.
Start with an AI Enterprise Assessment. In weeks, you will know exactly what AI is running in your organization — and have a clear path to Safe AI Adoption.