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NOT YET RECRUITING
NCT07390461
NA

Effectiveness of Artificial Intelligence Integrated Mixed Reality-based High-Alert Medications Management Simulation Program

Sponsor: Chonnam National University Hospital

View on ClinicalTrials.gov

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

OTHER

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

OTHER

Standard medication-management education

Participants receive the hospital's standard medication-management education (didactic lectures, case discussions, and workshops)