NRTS: A Client-Server Architecture for Supporting Education in a Neonatal Resuscitation Simulation Scenario.

Area of Science:

• Medical Simulation
• Neonatal Care
• Mobile Health Technology

Background:

• Neonatal resuscitation requires effective training and evaluation.
• High-fidelity simulation courses are crucial for skill development.
• Efficient data recording and analysis can enhance training outcomes.

Purpose of the Study:

• To introduce the Neonatal Resuscitation Training Simulator (NRTS) mobile application.
• To describe the app's functionality in inputting, transmitting, and recording simulation data.
• To facilitate data-driven evaluation of multidisciplinary teams during neonatal resuscitation training.

Main Methods:

• Development of an Android mobile application (NRTS).
• Integration with data recording during high-fidelity neonatal resuscitation simulations.
• Automatic transmission of recorded data to a cloud-based server.
• Utilization of cloud data for generating statistics for debriefing.

Main Results:

• The NRTS app enables seamless data capture during neonatal resuscitation simulations.
• Automatic data upload to a central server simplifies data management.
• Generated statistics provide objective metrics for team performance evaluation.
• The system supports enhanced debriefing sessions for multidisciplinary teams.

Conclusions:

• The NRTS mobile app is a valuable tool for neonatal resuscitation training.
• It improves data management and facilitates objective performance assessment.
• The technology supports more effective debriefing and team training in critical care settings.