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Effectiveness of Artificial Intelligence Integrated Mixed Reality-based High-Alert Medications Management Simulation Program
Sponsor: Chonnam National University Hospital
Summary
The goal of this clinical trial is to learn if a Artificial Intelligence integrated Mixed Reality-based High-Alert Medications Management Simulation Program (AIMR-HAM) helps hospital nurses manage high-alert medicines (HAMs) more safely. MR mixes real and virtual elements to let nurses practice in realistic scenarios. The main questions are: Does the AIMR-HAM improve nurses' medication safety skills? Does the AIMR-HAM lower medication errors and improve clinical performance? Researchers will compare two groups to answer these questions: Intervention group: AIMR-HAM Control group: standard education only Who can take part: Nurses who work at large hospitals and have 1 to 6 years of clinical experience. About 60 nurses will join the study. What participants will do: Attend the assigned training (AIMR-HAM or standard education only). Complete short tests and surveys before and after training to measure skills, communication, and clinical reasoning. Report any medication errors that occur during the study. Why this matters: The study will show whether AIMR-HAM training can improve how nurses handle HAMs and make patient care safer.
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
60
Start Date
2026-03-04
Completion Date
2026-03-06
Last Updated
2026-02-05
Healthy Volunteers
Yes
Conditions
Interventions
Artificial Intelligence integrated Mixed Reality-based Simulation Program
Participants in the intervention arm receive Artificial Intelligence integrated Mixed Reality-based High-Alert Medications Management Simulation Program
Standard medication-management education
Participants receive the hospital's standard medication-management education (didactic lectures, case discussions, and workshops)