The goal of this retrospective cohort study is to develop and validate a language model that can interpret the contents of emergency department electronic medical records and extract relevant information for research purposes in all adult patients who arrived at the participating emergency departments in a three-year period.
The main question it aims to answer is: is the language model able to interpret the contents of emergency department electronic medical records and extract the requested information from them so that it can be used to make accurate analyses and predictions?
The study is retrospective and data will be extracted automatically from the medical health records.
Adult
Arrived at emergency department between 1 January 2021 and 31 December 2023
None
All adult patients who arrived at participating emergency departments between January 1, 2021 and December 31, 2023
Cohort
Retrospective
no intervention
Other interventionno intervention
Concordance in filling in the virtual case report form
Level of concordance in filling in the virtual case report form between the expert physicians and the eCREAM\_LM language model
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Mario Negri Institute for Pharmacological Research
Lead sponsor
Astir s.r.l.
Collaborator
Fondazione Bruno Kessler
Collaborator
Orobix Life S.r.l.
Collaborator
