AI Governance in healthcare is the foundation, not the finish line
Governance isn’t what slows clinical AI down. It’s what makes scale possible. Ferrum is the only clinical AI governance platform that resolves fragmentation across deployment, management, and measurement, on infrastructure you own.
Clinical AI has a fragmentation problem. We built the fix.
Health systems have spent the last few years saying yes to clinical AI. The question now isn’t whether to adopt. It’s how to govern, measure, and scale what’s already running.
Vendors grade their own homework. Claims come from their training set, not your patients.
Every model is its own IT project. Integration, security, routing, rebuilt each time.
Governance is reactive. Drift and bias surface as incidents, not signals.
Procurement gets harder. More vendors, more dashboards, more dependencies.
Six things Ferrum holds as non-negotiable.
The principles behind every deployment, every contract, every product decision.
Not the vendor. Not Ferrum. Your environment, your patients, your data.
Performance from the model owner is marketing. Performance on your patients is evidence.
Bolt-on governance creates technical debt. The framework starts before model one goes live.
You’ll replace models over time. The platform underneath them shouldn’t make that harder, including Ferrum.
Standardized intake makes the second model 90% faster than the first. Governance is what makes speed safe.
Every prediction is explainable and benchmarked on your data, so clinicians can see why a model works, not just that it does.
Stop running clinical AI as scattered projects. Start running it as a program.
30-minute executive briefing. No deck. We map your current models against deployment, management, and measurement live, and surface the two changes that move governance the most.