The Application of Large Language Model in Emergency Chest Pain Triage
Peking University Third Hospital
2,000 participants
Dec 20, 2023
INTERVENTIONAL
Conditions
Summary
This study will evaluate the accuracy and efficiency of large language model in emergency triage.
Eligibility
Inclusion Criteria2
- All patients with chest pain entered the emergency triage procedure.
- patients aged 18 and above.
Exclusion Criteria7
- Patients with severe cognitive impairment or inability to communicate.
- There are patients who have been explicitly referred to specific departments (for example, some of the 120 transfer patients, who may go directly to the green channel) .
- Patients with unstable vital signs .
- Patients with potential medical problems.
- Is participating in other clinical trials.
- Failure to follow test procedures.
- Those who refuse to sign the informed consent form.
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Interventions
The large language model MedGuide-V5 is able to quickly extract key information from a patients description, and by analyzing these descriptions, it provides physicians with a possible initial diagnosis to help them quickly prioritize the treatment of patients.
After the artificial intelligence system evaluation, the patients will receive the diagnosis and treatment according to the normal procedure. The overall time of artificial triage, the triage of patients, and other data will be recorded. Patient visits should not be delayed by the use of artificial intelligence systems for evaluation.
Locations(1)
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NCT06493175