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May 16, 2026

Who authorized the AI step?

In healthcare, the dangerous AI failure isn't usually a wrong answer. It's an unaccountable action — a step that happened without a clear record of what it did, who approved it, and that the record is intact. Under HIPAA scrutiny, "the tool did it" is not an answer.

The clinician stays in command — prove it

AI scribes and agents now draft notes, summarize charts, and prepare orders. The intended design is sound: the AI assists, and a clinician stays in command and signs off. But when a safety event, a payer audit, or a malpractice inquiry asks "what did the automated step do, and who authorized it?", the design only matters if you can demonstrate it held.

Reconstructing that from application logs is slow and not defensible. The sign-off lived in one system, the AI's action in another, the chart in a third — and proving the clinician actually reviewed the thing they approved means stitching across all of them after the fact, under exactly the scrutiny you'd least want to improvise under.

The action and the approval, in one trace

CHP records each AI action as a crossing of a capability boundary: a structured event with the acting subject and a correlation that ties it to the encounter. The clinician's sign-off isn't a separate system's checkbox — it's a governed approval in the same trace, on the same action. "Who authorized this step?" stops being an investigation and becomes a field on the record.

Two properties make this fit clinical reality rather than fight it:

  • Redacted by default. The evidence captures who did what, when, and that it was approved — without storing the PHI body. You get an accountable record of the action without making the audit log a second copy of the chart.
  • Integrity you can show. The events are hash-chained, so the record an auditor or attorney examines is demonstrably intact, not a screenshot that proves nothing.

What's real, and what we'd build with you

If you're putting AI into documentation or order prep and patient-safety accountability is the question that keeps it from scaling, bring a real workflow. We'll map the action-and-approval trace onto it together.