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HHS just dropped the AI model card requirements for certified EHRs. Clinical AI traceability took a step backward on a problem medicine solved decades ago. Here is what every AI answer should carry, and why anyone liable for patients should demand it.
Patient-facing AI is now part of the clinical encounter, whether health systems plan for it or not. Patients arrive with model-generated answers in hand. The safety question is no longer access. It is configuration: escalation criteria first, uncertainty stated plainly, and a clinician who remains accountable for the final decision.
AI in medicine will be judged less by benchmark scores and more by whether clinicians can trust it with real patient data. Privacy, reliability, and workflow fit are what matter now. That is what PulseMed builds for hospital systems and clinics.
Where did that answer come from?
For every answer our AI Companion gives, we record which model produced it and which sources it drew from.
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HHS just dropped the AI model card requirements for certified EHRs. Clinical AI traceability took a step backward on a problem medicine solved decades ago. Here is what every AI answer should carry, and why anyone liable for patients should demand it.


