Interpretation Performance in Chinese and Japanese Medical Consultation Scenarios

NCT06934031 | Completed

• 1 other identifier: FJUH113419
• Study Type: observational
• Target: 42
• Locations: 1 country
• Sites: 1

Brief Summary

This study aims to compare the translation and interpretation performance of ChatGPT, Google Translate(GT),and UD Talk in cardiopulmonary consultations and analyze their effectiveness in addressing language barriers.The investigators hypothesize that ChatGPT and UD Talk will outperform GT in terms of accuracy and error rates.

Conditions

Outpatients; Cardiology; Pulmonology

Keywords

Language barriers; medical communication; medical interpretation; cardiopulmonary disease; translation software

Outcome Measures

Primary Outcomes (1)

• Translation Assessment Scale Score

  6-point Likert scale, with 5 representing the highest score and 0 representing the lowest.

  4 months

Interventions

translation software OTHER

ChatGPT, Google Translate, and UD talk

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Probability Sample

Study Population

First part * Patients visiting the Cardiology or Pulmonology Department Second part * Has completed Japanese-Chinese medical interpretation training and has clinical experience Third part * Non-native Chinese-speaking Japanese residents

You may qualify if:

• Age over 18 years
• Patients visiting the Cardiology or Pulmonology Department at Fu Jen Catholic University Hospital from December 2024 to November 2025

You may not qualify if:

• Patients unable to communicate effectively as assessed by the physician
• Refusal to participate in the study
• Second part
• Age over 18 years
• Completed the Japanese-Chinese medical interpretation training course and has at least two years of clinical experience
• Refusal to participate in the study
• Third part
• Age over 18 years
• Non-native Chinese-speaking Japanese residents who have lived in Taiwan for at least two years
• Refusal to participate in the study

Sponsors & Collaborators

• Fu Jen Catholic University: lead

Study Sites (1)

Fu Jen Catholic University Hospital, Fu Jen Catholic University

New Taipei City, 24352, Taiwan

Location

MeSH Terms

Conditions

Pulmonary Heart Disease

Condition Hierarchy (Ancestors)

Heart Diseases; Cardiovascular Diseases

Study Officials

• Ke-Yun Chao, PhD

  Fu Jen Catholic University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Study Record Dates

• First Submitted: March 31, 2025
• First Posted: April 18, 2025
• Study Start: April 10, 2025
• Primary Completion: November 18, 2025
• Study Completion: November 18, 2025
• Last Updated: February 4, 2026

Record last verified: 2026-02

Data Sharing

• IPD Sharing: Will not share

Locations

TW (1)