AI is the hallway consult.
The colleague queried in the hallway. The CME read last month. UpToDate at 2am. Epocrates before walking in the room with the patient. Clinical judgment has been shaped by external knowledge — and none of that support ever made it into the chart.
Now ambient scribes, radiology LLMs, and clinical copilots surface that knowledge at the moment of decision. For the first time, we have a way to capture that the consult happened.
CAVAL is that record.
WHAT CAVAL CAPTURES:
Three things; in every AI-influenced clinical encounter.
What the AI surfaced — the output, the source, the timestamp.
Whether the clinician found it admissible — accepted, modified, or overridden.
What was decided — the clinical action, signed and attributed.
Tamper-evident. Append-only. Vendor-agnostic. Not inside EHRs. In the hallway between the AI output and the clinical signature.
Why it matters
The hallway consult, finally documented.
From the clinician at the bedside to the physician with no specialist backup — CAVAL closes the attribution gap at every level of care.
For clinicians
Show your thinking as it evolved without stopping to document every step. When AI-influenced malpractice cases produce verdicts, the clinicians who can demonstrate their reasoning are the ones who are defensible.
For health systems
Not just is the AI drifting — is it being used the way your governance committees agreed to. Secondary review of AI use, not just AI performance. A path to replacing indefinite ambient transcript storage with a structured attribution record.
For the clinician with no backup
For generations, resource-constrained clinicians have waited for the asynchronous econsult, the specialist who visits once a month. AI is the first real-time second opinion many of them have ever had. CAVAL is the governance layer that makes it accountable when it arrives.