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The Effects of a Large Language Model on Clinical Questioning Skills

NCT06229379 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 84

Last updated 2024-11-22

No results posted yet for this study

Summary

The researchers have used the ophthalmology textbook, clinical guideline consensus, the Internet conversation data and knowledge base of Zhongshan Ophthalmology Center in the early stage, combined with artificial feedback reinforcement learning and other techniques to fine-tune and train the LLM, and developed "Digital Twin Patient", a localized large language model that has the ability to answer ophthalmology-related medical questions, and also constructed a combination of automated model evaluation and manual evaluation by medical experts. The evaluation system combining automated model evaluation and manual evaluation by medical experts was constructed at the same time.

This project intends to integrate "Digital Twin Patient" into undergraduate ophthalmology apprenticeship, simulate the consultation process of real patients through the online interaction between students and "Digital Twin Patient", explore the effect of "Digital Twin Patient" consultation teaching, provide emerging technology tools for guiding medical students to actively learn a variety of ophthalmology cases, cultivate clinical thinking, and provide the possibility of creating a new mode of intelligent teaching.

Conditions

Interventions

DEVICE

"Digital twin patient"

"Digital twin patient" can serve as patients with specific diseases for medical students to acquire disease history and thus practice clinical questioning skills.

BEHAVIORAL

Interaction with real patients

As in traditional medical education, medical students need to interact with real patients to practice history collection skills.

Sponsors & Collaborators

  • Sun Yat-sen University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
25 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-11-13
Primary Completion
2024-05-10
Completion
2024-08-07

Countries

  • China

Study Locations

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Entities

Diseases

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 NCT06229379 on ClinicalTrials.gov