What is the role of BMJ clinical intelligence in supporting AI scribes? AI scribes are now commonly used in clinics, hospitals and virtual care. They reduce clinician documentation burden by creating structured notes from patient-clinician conversations. Yet AI scribes on their own lack clinical reasoning and may misinterpret or omit context that affects care. This is where BMJ clinical intelligence can add value. It can guide safe documentation, maintain clinical quality and improve decision-making. Used together, BMJ clinical intelligence and AI scribes can create safer and more reliable clinical workflows. AI scribes are transforming documentation – they can transcribe, structure, and summarise patient encounters in seconds. But without context or medical judgement, even the best AI scribe can miss critical details. BMJ clinical intelligence can give the scribe a clinical lens through which to interpret the consultation. Instead of just recording what was said, the AI scribe can check whether the content covers the expected elements of safe clinical reasoning for that symptom or condition. It acts like a quiet safety net underlying consultations. AI scribes capture what was said in the consultation – but they do not understand what happened. When a clinician expresses uncertainty (‘could be migraine, but need to rule out tension headache’), the AI may record this literally without exploring what information is needed to resolve the uncertainty. BMJ clinical intelligence contains diagnostic knowledge that is structured to mimic how clinicians work through reasoning under uncertainty. Integrating this knowledge into the scribe workflow enables it to identify when uncertainty exists and suggest structured next steps – such as questions, physical examinations, or tests that could narrow the differential. AI scribes are transforming documentation – they can transcribe, structure, and summarise patient encounters in seconds. But without context or medical judgement, even the best AI scribe can miss critical details. AI scribes record what was said in the moment – but they often miss the ‘what next’. Follow-up plans are where much of the clinical risk lies: delayed reviews, missed test results, and unclear safety-netting. When BMJ clinical intelligence is integrated with an AI scribe, it helps capture, check, and clarify these plans so that nothing is left vague or forgotten. BMJ clinical intelligence contains structured follow-up recommendations linked to the presenting problem, guideline stage, and patient profile. This allows the AI scribe to automatically check whether appropriate next steps have been planned and documented.
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Why the BMJ knowledge graph
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