Language Models in the Tumour Board
Where summarisation helps, and where a human must stay in the loop.

Language models are arriving in multidisciplinary meetings through the side door — summarising notes, drafting documentation, preparing case lists. Some of that is genuinely useful and some of it is a liability, and the line between them is fairly clear.
Where summarisation helps
- Assembling a case list from scattered documents ahead of the meeting.
- Drafting the administrative record of a decision already made and stated.
- Surfacing documents a clinician then reads — retrieval, not conclusion.
- Translating a recorded decision into patient-facing language for later review.
Where a human must stay in the loop
- Any clinical fact that will be acted on. Stage, biomarker status, prior treatment and performance status must be verified against the source, never accepted from a summary.
- Anything the model asserts without a citable span. Fluent output carries no signal about whether it is correct.
- Negation and uncertainty. “No evidence of” and “cannot exclude” are routinely flattened in summarisation.
- The recommendation itself. A model does not carry clinical responsibility, and the clinician who acts on it does.
Two practical rules
- Every clinical claim in a generated summary must be traceable to the span of text it came from.
- No patient-identifiable information into any system without a data-processing agreement covering it.
Educational content only. This material is written for healthcare professionals and students. It is not medical advice, and it must not be used for diagnosis or treatment decisions. Clinical decisions remain the responsibility of a qualified healthcare professional. Full disclaimer


