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One note in three: a verified census of three deployed AI scribes, and the instrument that counted it

Paper recorded by Signals 4 on 2026-08-31 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-31 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.AI · 人工智能 · first seen 2026-09-01

Abstract

Ambient AI scribes draft clinical notes under the reassurance that a clinician signs every note. We audited three commercial AI scribes on the same 142 consultations: 565 notes from recorded UK primary-care and US ambulatory encounters plus authored scenarios. Twelve discovery passes proposed 13,678 candidate errors; the 5,898 clearing an importance filter went to an adversarial panel of two model

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#256 most recent of 300 cs.AI papers we have recorded · ↑ newer: MNIST-PRO: MNIST is Back as a Partially Observable World for AI Agents · ↓ older: LLM Judges Verify Presence, Not Absence: Omission Blindness in AI Clin
Cite this page: One note in three: a verified census of three deployed AI scribes, and the instrument that counted it: the #256 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/one-note-in-three-a-verified-census-of-three-deployed-ai-scribes-and-the-instrum.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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