What happens between a dictation and a clinical record?
A clinician opens the appropriate patient and admission, selects a note type and records speech or types the documentation. Speech transcription, when enabled, becomes text for review; typed clinical content can proceed through the corresponding note workflow. The professional checks identity, examination findings, timing, terminology and the intended note before finalising it.
What is AI permitted to improve?
Configured AI assistance can improve spelling, structure, clarity and consistency of a draft. It must not convert uncertain observations into confirmed findings, invent medications or procedures, or silently alter the meaning of a clinical decision. The output is an editable draft, not evidence that the described event occurred.
Why is source preservation important?
A clinical record should distinguish what the professional entered from what software suggested. Retaining the source, authorship, review state and the amendment path helps clinicians correct errors without presenting rewritten text as an untouched original. Exact controls vary with institutional roles and deployment configuration.
What should the clinician review?
Check patient identity and admission, dates and times, diagnoses, neurological or systemic findings, laterality, drug names and doses, procedure details, negations and the intended clinical plan. Escalate uncertain or contradictory information to the responsible team rather than relying on fluent AI wording.
Where does this fit in hospital work?
The documented note belongs to the same admission record as ward rounds, operative documentation, investigations and case/discharge summaries. The aim is continuity across the patient’s stay, not a standalone chatbot replacing the clinician or the hospital’s governance.