Canonico Massimo, Montani Stefania, Striani Manuel
Computer Science Instituite - Department of Science, Technology and Innovation (DiSIT), Università del Piemonte Orientale, Viale Teresa Michel 11, 15121 Alessandria, Italy.
Laboratorio Integrato di Intelligenza Artificiale e Informatica in Medicina (DAIRI); Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, Alessandria e DISIT - Università del Piemonte Orientale, 15121, Alessandria, Italy,
Stud Health Technol Inform. 2023 Oct 20;309:97-98. doi: 10.3233/SHTI230748.
In this paper, we describe Neonatal Resuscitation Training Simulator (NRTS), an Android mobile app designed to support medical experts to input, transmit and record data during a High-Fidelity Simulation course for neonatal resuscitation. This mobile app allows one to automatically send all the recorded data from the Neonatal Intensive Care Unit (NICU) of Casale Monferrato Children's Hospital, (Italy) to a server in the cloud managed by the University of Piemonte Orientale (Italy). The medical instructor can then view statistics on simulation exercises, that may be used during the debriefing phase for the evaluation of multidisciplinary teams involved in the simulation scenarios.
在本文中，我们描述了新生儿复苏训练模拟器（NRTS），这是一款安卓移动应用程序，旨在支持医学专家在新生儿复苏的高保真模拟课程中输入、传输和记录数据。这款移动应用程序允许用户自动将意大利卡萨莱蒙费拉托儿童医院新生儿重症监护病房（NICU）记录的所有数据发送到意大利东方皮埃蒙特大学管理的云端服务器。然后，医学教员可以查看模拟练习的统计数据，这些数据可在汇报阶段用于评估参与模拟场景的多学科团队。
