AI-powered virtual human training for respiratory therapy students
Official title: Evaluation of an AI-Assisted Learning Approach for Enhancing Clinical Knowledge in Respiratory Therapy Students
Run by Fu Jen Catholic University · NCT07805499 · Data updated 2026-11-12
This study tests whether AI-based virtual human simulation training helps respiratory therapy students improve critical care knowledge, clinical skills, and confidence.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 40 (estimated) |
| Sponsor | Fu Jen Catholic University Academic / other |
| Locations | 1 site (New Taipei City) |
| Status | Recruiting |
| Started | September 17, 2026 |
| Main results expected | July 31, 2027 |
| Study ends | July 31, 2027 |
| Registry record updated | November 4, 2026 |
| Trial ID | NCT07805499 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Respiratory therapy pre-clinical students enrolled in the Clinical Application of Critical Care Respiratory Therapy course at Fu Jen Catholic University Hospital (Taiwan) who can communicate in Mandarin and consent to participate.
✕Probably not a fit
Students who do not participate or who do not complete the training or assessments may not experience learning gains from this intervention.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Respiratory therapy students will undergo AI-based virtual human simulation training to practice clinical decision-making in critical care scenarios. The study will compare students’ knowledge, skills, motivation, confidence, satisfaction, and critical thinking disposition before and after the training. Traditional methods may limit exposure to complex cases; this approach provides a safe, repeatable learning environment with immediate feedback. Participants will be Mandarin-speaking pre-clinical students at Fu Jen Catholic University Hospital who consent to take part. The findings could inform AI-assisted approaches to pre-clinical respiratory therapy education.
Why it matters
Potential benefit: If successful, students may gain stronger critical care knowledge, clinical reasoning, and confidence before real patient care.
How similar studies have gone: AI-based clinical simulations have shown promise in enhancing medical education, though results vary by setting and population.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Respiratory therapy students participating in the pre-clinical training course, "Clinical Application of Critical Care Respiratory Therapy," at Fu Jen Catholic University Hospital between September 10 and October 10, 2026 * Able to communicate verbally in Mandarin and complete study-related questionnaires and interviews * Considered suitable by the course instructor to participate in the AI-based virtual human simulation training * Willing to participate Exclusion Criteria: * Students considered unsuitable by the course instructor to participate in the AI-based virtual human simulation training * Individuals who are unable to communicate effectively in Mandarin, complete the study training, or complete study questionnaires due to language, cognitive, or other factors * Individuals who are unwilling to participate in the study
Where it's running
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Fu Jen Catholic University Hospital, Fu Jen Catholic University
New Taipei City, Taiwan Recruiting
Study contacts
- Principal investigator: Ke-Yun Chao, PhD — Fu Jen Catholic University
- Study coordinator: Ke-Yun Chao, PhD
- Email: C00152@mail.fjuh.fju.edu.tw
- Phone: +886-905-301-879
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.