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Could ChatGPT-Style AI help triage emergency patients? a massive study puts it to the test

NCT ID NCT07725965

Knowledge-focused Sponsor: University of Cologne Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jul 24, 2026 · Last updated Jul 29, 2026 · Updated 2 times

Summary

This study tests whether large language models (LLMs) — the same kind of AI behind chatbots — can predict what will happen to patients in the emergency department, such as whether they will be admitted to the hospital or need imaging. Researchers will analyze about 100,000 real emergency cases from a German hospital, comparing the AI's predictions to actual outcomes. They will also check whether removing personal information from the data harms the AI's accuracy.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could show that AI can help doctors make faster, more accurate triage decisions in busy emergency departments.
What could go wrong
This is a retrospective study using existing records, not a real-time test. The models may not perform as well in live clinical settings, and anonymization could reduce accuracy.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 100,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

Jul 2026

Expected to finish

Dec 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

All consecutive treatment cases at the Central Emergency Department of University Hospital Cologne during 01 January 2023 - 31 December 2025 (full census, approximately 100,000 cases).

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * All consecutive treatment cases at the Central Emergency Department of University Hospital Cologne during the period 01 January 2023 - 31 December 2025 (full census, consecutive inclusion). Exclusion Criteria: * Documented objection to the scientific use of the data pursuant to Art. 21 General data protection Regulation (GDPR). * Cases lacking the minimum data required for analysis (triage/history and documented outcome).

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Clinical decision support Emergency care TRIAGE

Contacts and locations

Locations

  • Department of Internal Medicine II, University Hospital Cologne

    Cologne, 50937, Germany

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