The result to aim for
The ConcilIA project, described by Professor Vincent Vuiblet at the CHU in Reims, "allows to prioritise patients requiring a drug-conciliation": it "has already tripled the number of drug mismatches detected".
What was done
Hospitalia (Joëlle Hayek, 24 June 2026), same interview. Third IIAS tool family (track and resources). Distinct measurement of brain tumours. The "triple" multiplier is that of the teacher, without a published denominator.
Before you start
Tool cited by the source: ConcilIA. Fill in the bracketed items: [coller traitements, allergies, motif d’entrée]. Strip confidential data that is not needed and check your tool’s access terms. Features and plans can change.
The method, in three steps.
Gather the context
Spot the bracketed items in the prompt (
[coller traitements, allergies, motif d’entrée]) and prepare what they ask for.Adapt the prompt
Copy the prompt below, replace the bracketed items, then paste it into the AI assistant you use. The cited tool (ConcilIA) is not necessarily available to the public..
Reread before using
Reread the result, correct it if needed and keep the final decision. Caveats are detailed below.
Your starting point.
Replace the bracketed items, then adapt the proposal to your situation. This prompt is written by the iadujour desk It is not a quotation from the source.
Extracts (without identity): [coller traitements, allergies, motif d’entrée]. Question: who should prioritize conciliation. Propose an order and reason, only after extracts. If a molecule is missing, say it. Do not invent any interaction.
What deserves your attention
Proof level: Testimony published by an identified source. Source checked on 11 November 2026. Use described by the source, not tested by the desk. Original summary written by iadujour.fr: figures and claims are the source’s; the prompt is a desk proposal, not a quotation.
Comments.
A field note, a question, a precision on this use case? Comments are reviewed before publication.
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