NCT07891325

Brief Summary

This study evaluated the effects of generative artificial intelligence (GAI)-assisted education on clinical reasoning performance among traditional Chinese medicine (TCM) interns. An assessor-blinded, nonrandomized, cluster-controlled educational intervention study was conducted at three hospital branches in Taiwan. Participants were assigned to either a GAI-assisted education group or a conventional education group according to their clinical training sites. The intervention group received a three-hour introductory training session on ChatGPT and was encouraged to use the tool independently for clinical case analysis during subsequent clinical rotations. The control group received conventional clinical education without structured GAI-assisted training. The primary outcome was clinical reasoning performance, assessed through clinical case reports independently evaluated by two blinded TCM educators. Secondary outcomes included perceptions of the four-element TCM diagnostic framework and perceptions of GAI-assisted learning.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
38

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Feb 2024

Geographic Reach
1 country

1 active site

Status
completed

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

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

February 20, 2024

Completed
10 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 2, 2024

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

May 30, 2025

Completed
1.4 years until next milestone

First Submitted

Initial submission to the registry

October 15, 2026

Completed
8 days until next milestone

First Posted

Study publicly available on registry

October 23, 2026

Completed
Last Updated

October 23, 2026

Status Verified

October 1, 2026

Enrollment Period

10 months

First QC Date

October 15, 2026

Last Update Submit

October 22, 2026

Conditions

Keywords

Generative Artificial IntelligenceChatGPTTraditional Chinese MedicineClinical ReasoningMedical Education

Outcome Measures

Primary Outcomes (1)

  • Change in Clinical Reasoning Performance Score

    Clinical reasoning performance was assessed using written clinical case reports independently evaluated by two blinded traditional Chinese medicine educators. Ten domains were scored from 1 to 10, including disease location, etiology, disease nature, pathogenesis, differential diagnosis, prescription selection, pathophysiological reasoning, overall clinical decision-making, information analysis, and clinical applicability of prescriptions. Total scores ranged from 10 to 100, with higher scores indicating better clinical reasoning performance. The mean score from the two evaluators was used for analysis. Changes in scores from baseline (Month 0) to post-intervention (Month 3) were compared between groups.

    Baseline (Month 0) and post-intervention (Month 3)

Secondary Outcomes (2)

  • Change in Perceptions of the Four Elements of TCM Etiology and Pathogenesis

    Baseline (Month 0) and post-intervention (Month 3)

  • Change in Perceptions of and Satisfaction With GAI-Assisted Learning

    Baseline (Month 0) and post-intervention (Month 3)

Study Arms (2)

GAI-Assisted Education

EXPERIMENTAL

Participants received a three-hour introductory training session on the use of ChatGPT for traditional Chinese medicine clinical case analysis. Following the training, participants were allowed to use ChatGPT independently during clinical rotations without a prescribed minimum frequency or duration of use.

Behavioral: GAI-Assisted Clinical Education

Conventional Clinical Education

ACTIVE COMPARATOR

Participants received conventional traditional Chinese medicine clinical education, including clinical observation, case discussions, and instruction from supervising physicians, without structured generative AI-assisted training.

Behavioral: Conventional Clinical Education

Interventions

A structured three-hour introductory training session was provided on the use of ChatGPT for traditional Chinese medicine clinical reasoning and case analysis. Training included demonstrations of disease location, etiology, disease nature, pathogenesis, differential diagnosis, and prescription decision-making. Participants subsequently used ChatGPT independently during clinical rotations as needed. No minimum frequency or duration of ChatGPT use was required.

GAI-Assisted Education

Participants continued routine traditional Chinese medicine clinical training, including supervised clinical observation, case-based discussions, and instruction from supervising physicians. No structured training in or assigned use of generative artificial intelligence tools was provided.

Conventional Clinical Education

Eligibility Criteria

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

You may qualify if:

  • Aged 18 years or older.
  • Enrolled in an undergraduate or postbaccalaureate traditional Chinese medicine (TCM) program.
  • Completed the required TCM coursework and the first stage of the national TCM licensing examination.
  • Provided informed consent to participate in the study.

You may not qualify if:

  • Already licensed as a traditional Chinese medicine physician.
  • Unable to complete the required study procedures.
  • Declined to provide informed consent.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Taipei City Hospital

Taipei, Taipei, 110, Taiwan

Location

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
Two independent traditional Chinese medicine educators evaluated clinical case reports without knowledge of participants' group assignments. Participants and instructors were not blinded because of the nature of the educational intervention.
Purpose
OTHER
Intervention Model
PARALLEL
Model Details: Participants were assigned to the intervention or control group according to their clinical training sites. One hospital branch received generative AI-assisted education, while two hospital branches continued conventional clinical education. Individual randomization was not performed.
Sponsor Type
OTHER GOV
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Attending Physician

Study Record Dates

First Submitted

October 15, 2026

First Posted

October 23, 2026

Study Start

February 20, 2024

Primary Completion

December 2, 2024

Study Completion

May 30, 2025

Last Updated

October 23, 2026

Record last verified: 2026-10

Data Sharing

IPD Sharing
Will not share

Individual participant data will not be publicly shared because the study involves educational assessment records and questionnaire responses from a relatively small cohort of medical interns. Data confidentiality and participant privacy will be maintained in accordance with the approved institutional review board protocol.

Locations