Artificial Intelligence-Based Emergency Triage Education Tool in Enhancing Clinical Critical Thinking and Triage Practice
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Instructor-led AI-Triage educational serious game, Self play AI-Triage educational serious game.
- Who it may be relevant to
- Registry conditions: Nursing Teaching Pedagogy, Conversational AI Nursing Education Serious Game. Basic parameters: No limits · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Center list to be confirmed — check the primary protocol.
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Instructor-led Artificial Intelligence-Based Emergency Triage Education Tool in Enhancing Clinical Critical Thinking and Triage Practice: Randomized Control Trial
Overview
The study aims to develop an artificial intelligence (AI) based emergency triage education tool for providing critical thinking and questioning skills training to nursing students. It also aims to contribute valuable implications by collecting the knowledge, attitudes, and compassion aspects of nursing students toward AI-based education The objectives of the study: 1. To evaluate the effectiveness of instructor-led and self-play pedagogy approaches in enhancing students' critical thinking by an AI-based emergency triage education tool. 2. To evaluate the effectiveness of instructor-led and self-play pedagogy approaches in enhancing students' triage skill retention by an AI-based emergency triage education tool. 3. To evaluate students' learning motivation, simulation-based experience, and usability towards AI-based technology learning. Participants will 1. play the education tool in different pedagogy approaches 2. answer the questionnaires and receive a qualitative interview
Interventions
- Behavioral Instructor-led AI-Triage educational serious game
Participants will use the AI-triage serious game guided by the instructors. - Behavioral Self play AI-Triage educational serious game
Participants will self-play the AI-Triage serious game during the class.
Primary outcome measures
- Triage skill retention [Time frame: Baseline, 1 month and 1 year]
Secondary outcome measures (5)
- Cognitive Engagement [Time frame: Immediately post intervention]
- Critical thinking [Time frame: Base-line and 1 Month]
- Self-rated critical thinking [Time frame: Baseline, 1 month]
- Usability [Time frame: Immediately post intervention]
- simulation-based experience [Time frame: Immediately post intervention]
Eligibility criteria
Inclusion criteria
- Aged 18 or above;
- Currently studying the NURS 225F of the Bachelor of Nursing (General) at Hong Kong Metropolitan University;
- Able to use electronic devices to accomplish an online survey and participate in the AI-based emergency triage education tool
Exclusion criteria
- Currently working in emergency department
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Open label
- Primary purpose
- Other
Study locations
Center list to be confirmed — check the primary protocol.
Identifiers
NCT: NCT06811987 · HE-SF2024/57