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

NCT06240572 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 300000

Last updated 2026-05-20

No results posted yet for this study

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.

Conditions

  • Emergency Medicine

Interventions

OTHER

no intervention

no intervention

Sponsors & Collaborators

  • Astir s.r.l.

    collaborator INDUSTRY

  • Fondazione Bruno Kessler

    collaborator OTHER

  • Orobix Life S.r.l.

    collaborator UNKNOWN

  • Mario Negri Institute for Pharmacological Research

    lead OTHER

Principal Investigators

  • Guido Bertolini · Istituto Di Ricerche Farmacologiche Mario Negri

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-10-01
Primary Completion
2027-01-31
Completion
2027-09-30

Countries

  • Italy

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06240572 on ClinicalTrials.gov