NCT06493175

Brief Summary

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

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
2,000

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Dec 2023

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

December 20, 2023

Completed
2 days until next milestone

First Submitted

Initial submission to the registry

December 22, 2023

Completed
7 months until next milestone

First Posted

Study publicly available on registry

July 9, 2024

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 20, 2024

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 20, 2024

Completed
Last Updated

July 9, 2024

Status Verified

July 1, 2024

Enrollment Period

1 year

First QC Date

December 22, 2023

Last Update Submit

July 8, 2024

Conditions

Chest Pain

Keywords

large language modelChest Pain

Outcome Measures

Primary Outcomes (1)

  • The Diagnostic Accuracy Rate of MedGuide-V5

    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.

    through study completion, an average of 10 months

Secondary Outcomes (3)

  • The Satisfaction of Medical Personnel

    during evaluation

  • Medical Personnel Treatment Plan Adjustment Rate

    during evaluation

  • Emergency Department Revisit Rate within 30 Days

    during evaluation

Study Arms (2)

Large Language Model Diagnostic

EXPERIMENTAL

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.

Diagnostic Test: Application of large language model in emergency chest pain triage.

Routine diagnostic and therapeutic procedure

ACTIVE COMPARATOR

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.

Diagnostic Test: According to the normal procedures to receive medical treatment

Interventions

Application of large language model in emergency chest pain triage.DIAGNOSTIC_TEST

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.

Large Language Model Diagnostic
According to the normal procedures to receive medical treatmentDIAGNOSTIC_TEST

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.

Routine diagnostic and therapeutic procedure

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

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

You may not qualify if:

  • 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.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Peking University Third Hospital

Beijing, Beijing Municipality, China

RECRUITING

MeSH Terms

Conditions

Chest Pain

Condition Hierarchy (Ancestors)

PainNeurologic ManifestationsSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Yi-Da Tang, MD, PhD

    Peking University Third Hospital

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Xiangbin Meng

CONTACT

17600220171puthxnk@126.com

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

December 22, 2023

First Posted

July 9, 2024

Study Start

December 20, 2023

Primary Completion

December 20, 2024

Study Completion

December 20, 2024

Last Updated

July 9, 2024

Record last verified: 2024-07

Data Sharing

IPD Sharing
Will not share

Locations

CN(1)