Development of a Natural Language Processing Tool to Enable Clinical Research in Emergency Medicine
Development and Validation of a Natural Language Processing Tool to Enable Clinical Research in Emergency and Acute Care Medicine: Retrospective Cohort Study
Mario Negri Institute for Pharmacological Research
300,000 participants
Oct 1, 2024
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria2
- Adult
- Arrived at emergency department between 1 January 2021 and 31 December 2023
Exclusion Criteria1
- None
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Interventions
no intervention
Locations(8)
View Full Details on ClinicalTrials.gov
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NCT06240572