Doctors want an AI scribe accurate enough for their specialty so they stop double-writing notes to guard against hallucinations

AI medical scribes promise to cut documentation burnout but in live multi-speaker visits accuracy drops sharply in specialties like emergency medicine and oncology, generic models miss specialty-specific nuance, and clinicians who do not trust the output keep typing their own backup notes which doubles the work. The concrete job for an AI agent is reliable specialty-tuned transcription and note structuring that a physician can sign without re-reviewing every line. Demand is long-proven on HN where Nabla's GPT-3 plus Whisper scribe to save doctors' time hit 117 points, and the recurring r/FamilyMedicine and r/medicine complaints about correction overhead show the trust gap is still open. Gap is per-specialty accuracy and EHR-context grounding, not another generic scribe.