NCT07805499

Brief Summary

This study aims to investigate the effects of artificial intelligence-based virtual human simulation training on students' learning outcomes in critical care knowledge and clinical skills, as well as its effects on learning motivation, clinical confidence, learning satisfaction, and critical thinking disposition.

Trial Health

63
Monitor

Trial Health Score

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

Enrollment
40

participants targeted

Target at P25-P50 for not_applicable

Timeline
10mo left

Started Sep 2026

Geographic Reach
1 country

1 active site

Status
not yet recruiting

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

Trial Relationships

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Study Timeline

Key milestones and dates

Study Progress10%
Sep 2026Jul 2027

First Submitted

Initial submission to the registry

September 1, 2026

Completed
Same day until next milestone

Study Start

First participant enrolled

September 1, 2026

Completed
3 days until next milestone

First Posted

Study publicly available on registry

September 4, 2026

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 31, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

July 31, 2027

Last Updated

September 4, 2026

Status Verified

August 1, 2026

Enrollment Period

11 months

First QC Date

September 1, 2026

Last Update Submit

September 1, 2026

Conditions

Keywords

Respiratory therapyAI-based virtual human simulation trainingClinical education

Outcome Measures

Primary Outcomes (2)

  • Examination score of pre-intervention

    score of pre-intervention (maximun 100 and minimum 0), higher means a better outcome

    pre-intervention

  • Examination score of post-intervention

    score of post-intervention (maximun 100 and minimum 0), higher means a better outcome

    immediately after the intervention

Study Arms (1)

AI-based simulation group

EXPERIMENTAL

Receive AI-based virtual human simulation training

Other: AI-based virtual human simulation training

Interventions

present simulated critical care scenarios

AI-based simulation group

Eligibility Criteria

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

You may qualify if:

  • 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

You may not qualify if:

  • 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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Fu Jen Catholic University Hospital, Fu Jen Catholic University

New Taipei City, 24352, Taiwan

Location

Study Officials

  • Ke-Yun Chao, PhD

    Fu Jen Catholic University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
OTHER
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

September 1, 2026

First Posted

September 4, 2026

Study Start

September 1, 2026

Primary Completion (Estimated)

July 31, 2027

Study Completion (Estimated)

July 31, 2027

Last Updated

September 4, 2026

Record last verified: 2026-08

Data Sharing

IPD Sharing
Will not share

Locations