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Latest articles from clinicgpt.ai
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Ambient scribe pilots: what to measure
Seat price and demo wow are weak pilot metrics. Measure documentation minutes, edit/defect rates, after-hours EHR time, and governance friction.
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Why 'the clinician signs' is the whole compliance story
BAAs, model vendors, and edit rates matter — but the durable control is still a human signature on a note the signer accepts as true.
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De-identification is harder than it looks
Stripping a name from a transcript is not HIPAA Safe Harbor. Voice, dates, rare disease, and small geographies re-identify people — and ambient audio makes it worse.
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Hallucination and omission in AI-summarized notes
Fluent drafts fail in two opposite ways: inventing what was never said, and dropping what was. How to spot both in ambient and summarization workflows.
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What 'AI scribe' actually means in 2026
AI scribes have gone from demo magic to clinic-floor reality. Here's what the phrase covers in 2026 — and what it still doesn't.
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Prompt patterns for clinical summarization that hold up in production
Four prompt structures we use for clinical summarization, what each one is good at, and the failure modes we hit in production.
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Documenting AI assistance in chart notes: what 2026 rules actually require
CMS, state boards, and major payers tightened expectations around AI-assisted documentation this year. Here's what your notes need to say in 2026 — and what they don't.