The Application of Large Language Model in Emergency Chest Pain Triage

Not Applicable

Recruiting

• Conditions: Chest Pain
• Interventions: Diagnostic Test: Application of large language model in emergency chest pain triage.; Diagnostic Test: According to the normal procedures to receive medical treatment

• Registration Number: NCT06493175
• Lead Sponsor: Peking University Third Hospital

Brief Summary

This study will evaluate the accuracy and efficiency of large language model in emergency triage.

Detailed Description

The study is to evaluate the value of large language model in emergency triage, their accuracy and efficiency were evaluated and compared with traditional triage. To explore whether the model can effectively reduce the workload of medical staff, while improving the speed and quality of triage. In addition, the ability of the model to predict serious medical events such as acute heart events and strokes was evaluated. It also included surveys of patients; acceptance and satisfaction with the use of the artificial intelligence-assisted triage system. Analyze the economic benefits of adopting this technology, including cost saving and optimal allocation of resources.

Basic Information
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Recruitment & Eligibility
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Study & Design
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Trial Locations

Study Timeline

• Study Start: 2023-12-20
• Study First Submitted: 2023-12-22
• Status Verified: 2024-07
• Study First Submitted QC: 2024-07-08
• Last Update Submitted: 2024-07-08
• Study First Posted: 2024-07-09
• Last Update Posted: 2024-07-09
• Primary Completion: 2024-12-20
• Study Completion: 2024-12-20

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 2000

Inclusion Criteria

1. All patients with chest pain entered the emergency triage procedure.
2. patients aged 18 and above.

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Exclusion Criteria

1. Patients with severe cognitive impairment or inability to communicate.
2. 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) .
3. Patients with unstable vital signs .
4. Patients with potential medical problems.
5. Is participating in other clinical trials.
6. Failure to follow test procedures.
7. Those who refuse to sign the informed consent form.

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Study & Design

• Study Type: INTERVENTIONAL
• Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
Large Language Model Diagnostic	Application of large language model in emergency chest pain triage.	Patients interacted with the large-language model triage system MedGuide-V5 during the waiting period before or after routine triage in the emergency department. During this phase, MedGuide-V5 will automatically record data and metrics during communication with patients.
Routine diagnostic and therapeutic procedure	According to the normal procedures to receive medical treatment	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.

Primary Outcome Measures

Name	Time	Method
The Diagnostic Accuracy Rate of MedGuide-V5	through study completion, an average of 10 months	To assess the consistency of the diagnosis of chest pain made by physicians with the assistance of large language models with the actual diagnosis made by patients after all examinations were completed.

Secondary Outcome Measures

Name	Time	Method
Medical Personnel Treatment Plan Adjustment Rate	during evaluation	The number of times medical personnel adjust treatment plans after receiving feedback from MedGuide V5's results and referring to the suggestions provided by the large language model.
Emergency Department Revisit Rate within 30 Days	during evaluation	Evaluate the occurrence of patients revisiting the emergency department or being readmitted within 30 days after large language model-assisted triage and traditional triage.
The Satisfaction of Medical Personnel	during evaluation	To evaluate the satisfaction and acceptance of medical personnel with the use of large language models in assisting triage systems through methods such as questionnaire surveys. The name of this questionnaire is: Researcher Evaluation Form, with scores ranging from 1 to 10. The higher the score, the more helpful the large language model is to researchers.

Trial Locations

Locations (1)

Peking University Third Hospital; 🇨🇳 Beijing, Beijing, China