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Artificial Intelligence(AI) in the Emergency Department (ED) in Cologne

NCT07725965 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100000

Last updated 2026-07-28

No results posted yet for this study

Summary

This retrospective, non-interventional study evaluates the prognostic performance of open-weight Large Language Models (LLMs) in the setting of a German academic emergency department. Using a full census of all consecutive emergency department cases at University Hospital Cologne between 01 January 2023 and 31 December 2025 (approximately 100,000 cases), the study assesses whether LLMs can make reliable prognostic predictions (e.g., hospital admission, imaging, diagnosis, placement) based on the initial history, vital signs, and triage category. In addition, it quantifies how strongly automated anonymization and perturbation procedures affect the models' diagnostic accuracy. This is an Investigator-Initiated Trial (IIT) with no intervention on patients.

Conditions

  • Triage
  • Emergency Care
  • Clinical Decision Support

Sponsors & Collaborators

  • University of Cologne

    lead OTHER

Principal Investigators

  • Volker Burst, Prof. · Department of Internal Medicine II, University Hospital Cologne

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-07-01
Primary Completion
2027-07-31
Completion
2027-12-31

Countries

  • Germany

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 NCT07725965 on ClinicalTrials.gov