OutpatientsNCT06934031
Interpretation Performance in Chinese and Japanese Medical Consultation Scenarios
An observational study of Outpatients and Cardiology, run by Fu Jen Catholic University at 1 site in Taiwan.
Trial 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… Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Outpatients, Cardiology, Pulmonology
- What is being tested?
- translation software
- How many people
- 42 participants
- Where
- 1 siteTaiwan
- Study dates
- 10 Apr 2025to 18 Nov 2025
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
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
Who may be able to join
- Age over 18 years
- Patients visiting the Cardiology or Pulmonology Department at Fu Jen Catholic University Hospital from December 2024 to November 2025
- Age over 18 years
- Completed the Japanese-Chinese medical interpretation training course and has at least two years of clinical experience
- Age over 18 years
- Non-native Chinese-speaking Japanese residents who have lived in Taiwan for at least two years
Who cannot join
- Patients unable to communicate effectively as assessed by the physician
- Refusal to participate in the study
- Second part
- Refusal to participate in the study
- Third part
- Refusal to participate in the study
Trial locations and contacts
1 site in 1 country.
Taiwan1 site
Fu Jen Catholic University Hospital, Fu Jen Catholic University
New Taipei City, 24352
About this study
Official title: A Comparative Study of Interpretation Performance of ChatGPT, Google Translate, and UD Talk in Chinese and Japanese Medical Consultation Scenarios: Contexts of Cardiopulmonary Disease Consultation
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.
Read the detailed description
Background： Language barriers in healthcare have a significant impact on patient safety, health outcomes, and the quality of healthcare services. With the increase in global migration, more patients are facing language challenges in foreign healthcare systems. Literature shows that providing professional interpretation services significantly improves patient satisfaction and communication quality. However, due to the high usage of ad-hoc interpreters and the shortage of professional interpreters, clinical communication quality has declined.
Study Design： This is a one-year, single-center, prospective observational study. Methods： The study will be conducted in the cardiology and pulmonology outpatient clinics at Fu Jen University Hospital. A total of 20 cardiopulmonary disease patients will be enrolled, withtheir consultation sessions recorded and transcribed into Chinese. The study will compare the three tools' performance in terms of semantic accuracy, error types, and severity, and analyze their feasibility in clinical practice. Further analysis will involve satisfaction surveys from both professional interpreters and non-native speakers living in Taiwan. The translation results will be evaluated for accuracy and error rates by 8 professional medical interpreters, with a satisfaction survey completed by a total of 14 non-experts. The evaluation tool will be based on the assessment rubrics from the National Accreditation Authority for Translators and Interpreters.
Effect： It is expected that ChatGPT and UD Talk will show better translation accuracy and interpretation quality compared to GT. UD Talk is anticipated to perform better than the other two tools in real-time interpretation. The study results will provide valuable insights for future medical interpretation training and clinical applications.
- Conditions
- Outpatients, Cardiology, Pulmonology
- Being tested
- translation software
- Keywords
- Language barriers, medical communication, medical interpretation, cardiopulmonary disease, translation software
- Medical subject headings
- Pulmonary Heart Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
translation softwareOther
ChatGPT, Google Translate, and UD talk
What is being measured
The primary outcome is the main question the study is designed to answer.
Translation Assessment Scale Score
6-point Likert scale, with 5 representing the highest score and 0 representing the lowest.
Measured: 4 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Apr 2025
- Study start10 Apr 2025
- Primary completion18 Nov 2025
- Study completion18 Nov 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for OutpatientsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 42 participants (actual)
Sponsor and investigators
- Lead sponsor
- Fu Jen Catholic University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ke-Yun, Chao, Fu Jen Catholic University
- Investigators
- Ke-Yun Chao, PhD, Principal investigator, Fu Jen Catholic University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06934031
- Sponsor's protocol ID
- FJUH113419
- Status last verified
- Feb 2026
- First submitted
- 31 Mar 2025
- Last updated
- 4 Feb 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 4 Feb 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- A Comparative Study of Interpretation Performance of ChatGPT, Google Translate, and UD Talk in Chinese and Japanese Medical Consultation Scenarios: Contexts of Cardiopulmonary Disease Consultation
- ClinicalTrials.gov ID
- NCT06934031
- Acronym / sponsor ID
- FJUH113419
- Conditions
- Outpatients, Cardiology, Pulmonology
- Keywords
- Language barriers, medical communication, medical interpretation, cardiopulmonary disease, translation software
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 42 participants (actual)
- Lead sponsor
- Fu Jen Catholic UniversityUniversity, hospital or other
- Study start
- 10 Apr 2025 (actual)
- Primary completion
- 18 Nov 2025 (actual)
- Study completion
- 18 Nov 2025 (actual)
- First posted
- 18 Apr 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
Background： Language barriers in healthcare have a significant impact on patient safety, health outcomes, and the quality of healthcare services. With the increase in global migration, more patients are facing language challenges in foreign healthcare systems. Literature shows that providing professional interpretation services significantly improves patient satisfaction and communication quality. However, due to the high usage of ad-hoc interpreters and the shortage of professional interpreters, clinical communication quality has declined.
Study Design： This is a one-year, single-center, prospective observational study. Methods： The study will be conducted in the cardiology and pulmonology outpatient clinics at Fu Jen University Hospital. A total of 20 cardiopulmonary disease patients will be enrolled, withtheir consultation sessions recorded and transcribed into Chinese. The study will compare the three tools' performance in terms of semantic accuracy, error types, and severity, and analyze their feasibility in clinical practice. Further analysis will involve satisfaction surveys from both professional interpreters and non-native speakers living in Taiwan. The translation results will be evaluated for accuracy and error rates by 8 professional medical interpreters, with a satisfaction survey completed by a total of 14 non-experts. The evaluation tool will be based on the assessment rubrics from the National Accreditation Authority for Translators and Interpreters.
Effect： It is expected that ChatGPT and UD Talk will show better translation accuracy and interpretation quality compared to GT. UD Talk is anticipated to perform better than the other two tools in real-time interpretation. The study results will provide valuable insights for future medical interpretation training and clinical applications.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- 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
Key inclusion criteria (6 listed)
- Age over 18 years
- Patients visiting the Cardiology or Pulmonology Department at Fu Jen Catholic University Hospital from December 2024 to November 2025
- Age over 18 years
- Completed the Japanese-Chinese medical interpretation training course and has at least two years of clinical experience
- Age over 18 years
Key exclusion criteria (6 listed)
- Patients unable to communicate effectively as assessed by the physician
- Refusal to participate in the study
- Second part
- Refusal to participate in the study
- Third part
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| translation softwareChatGPT, Google Translate, and UD talk | Other | – |
Primary outcome
Translation Assessment Scale Score
Time frame: 4 months
6-point Likert scale, with 5 representing the highest score and 0 representing the lowest.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 4 Feb 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Ke-Yun Chao, PhD principal investigator
Fu Jen Catholic University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Outpatients and Cardiology, run by Fu Jen Catholic University at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 4 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Translation Assessment Scale Score (time frame: 4 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 4 Feb 2026.