The Checkable Controls Are Already Written Into Federal Rule
ONC's HTI-5 and CMS-0057-F already specify the kind of checkable AI control health systems have been debating abstractly.
ONC's HTI-5 and CMS-0057-F already specify the kind of checkable AI control health systems have been debating abstractly.
Hospital M&A due diligence checklists have no line item for inherited AI model inventories, and two live deals show why that gap is now material.
Ambient AI is moving from transcribing encounters to placing orders and updating charts, crossing a governance line hospitals have not yet staffed for.
As AI scribes specialize by setting and plug into revenue cycle workflows, health systems need governance for notes that double as the legal and billing record.
Utilization management AI is automating prior authorization ahead of any finalized federal oversight, leaving NIST AI RMF and HIPAA as the only real guardrails.
The real governance decision for health systems is not whether to build an AI committee, but which deployments already sit inside CLIA, ONC certification, or HIPAA, and which sit in open air.
A 20 million-person Oracle Health breach exposes a certification gap: AI riding on certified EHR pipes answers to no one in particular.
Epic's new Connectors let AI agents act inside third-party apps, shifting health system compliance focus from data sharing to agent authorization and auditability.
As agentic AI moves from drafting text to taking action in hospitals, authority mapping and accountability frameworks are lagging behind deployment.
ONC's HTI-5 rule narrows federal health IT certification just as agentic AI deployment accelerates, shifting real oversight onto voluntary frameworks and liability law.
Athenahealth and Zocdoc now route patient records into third-party AI agents, and HHS just deferred the rule change that would address it.
A binding prior authorization deadline, not a voluntary standard, is now the test of whether healthcare AI vendors can show real control mapping.
Providers and payers are both automating the claims lifecycle with AI, but governance visibility hasn't kept pace with either deployment.
Ambient AI vendors are moving from note-drafting scribes to patient-facing intake agents, and most health systems haven't re-run the risk assessment for that leap.
A Johns Hopkins data exposure shows the nearest-term AI risk in hospitals is unauthorized employee tool use, a gap neither model governance nor AMA's new accountability framework covers.