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=== Clinical Safety β The Real Constraint === The evidence for AI chart summarisation is promising but has serious safety signals: '''The promise:''' * ChatGPT-4 adapted with in-context learning performed superior to physicians on both AI metrics and clinical expert evaluations. * Best-in-class systems achieve 1.47% hallucination rate and 3.45% omission rate across 12,999 clinician-annotated sentences. '''The risks:''' * '''Omissions are worse than hallucinations:''' A 2026 study of an EHR-integrated AI chart review tool deployed nationally in the US found that missing/confusing information was more commonly reported than hallucinations. Errors of omission may be a larger threat than errors of commission. * '''47% omission rate in ED summaries:''' A separate evaluation found 47% of 100 LLM-generated emergency department summaries omitted clinically relevant information. * '''Automation bias:''' A 2025 study of Epic's GPT-4 summarisation tool at NYU Langone found 22.7% of providers reported sometimes skipping full-length notes in favor of the summary alone. If the summary omits a relevant finding, the tool causes the diagnostic miss it was supposed to prevent. * '''Verification overhead erases time savings:''' PDSQI-9 validation required clinician evaluators averaging 10 minutes per evaluation. If GPs need to verify the summary against source notes, the time saving disappears. '''Implication:''' The clinical safety case (omissions, automation bias, verification cost) is the binding constraint β not technology readiness or integration cost.
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