Development of a Natural Language Processing Tool to Enable Clinical Research in Emergency Medicine

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.

Inclusion Criteria: * Adult * Arrived at emergency department between 1 January 2021 and 31 December 2023 Exclusion Criteria: * None