AI scribes are fast and fluent, but they are not always logical. They capture what’s said – even when what’s said does not add up. Clinicians often change their minds mid-consultation (‘no chest pain… actually, mild tightness earlier’), and without structured checking, these inconsistencies can creep into the record. BMJ clinical intelligence can act as the note’s check, ensuring the documentation is coherent and safe. AI scribes can capture narrative, but health systems need data. Diagnoses, procedures, tests, and comorbidities all need accurate coding for reimbursement and analytics. BMJ clinical intelligence can bridge the gap between free-text documentation and structured data entry, ensuring that what is in the note translates into codable information. AI scribes are excellent at generating text, but quality improvement depends on structured data. BMJ clinical intelligence allows scribes to identify, extract, and tag elements of the consultation that align with quality indicators – converting documentation into usable audit data without any extra work.
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Why the BMJ knowledge graph
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