Kman Nicholas E, Price Alan, Berezina-Blackburn Vita, Patterson Jeremy, Maicher Kellen, Way David P, McGrath Jillian, Panchal Ashish R, Luu Katherine, Oliszewski Alex, Swearingen Scott, Danforth Douglas
Department of Emergency Medicine The Ohio State University College of Medicine Columbus Ohio USA.
Center for Immersive Media University of the Arts Philadelphia Pennsylvania USA.
J Am Coll Emerg Physicians Open. 2023 Feb 16;4(1):e12903. doi: 10.1002/emp2.12903. eCollection 2023 Feb.
As mass casualty incidents continue to escalate in the United States, we must improve frontline responder performance to increase the odds of victim survival. In this article, we describe the First Responder Virtual Reality Simulator, a high-fidelity, fully immersive, automated, programmable virtual reality (VR) simulation designed to train frontline responders to treat and triage victims of mass casualty incidents. First responder trainees don a wireless VR head-mounted display linked to a compatible desktop computer. Trainees see and hear autonomous, interactive victims who are programmed to simulate individuals with injuries consistent with an explosion in an underground space. Armed with a virtual medical kit, responders are tasked with triaging and treating the victims on the scene. The VR environment can be made more challenging by increasing the environmental chaos, adding patients, or increasing the acuity of patient injuries. The VR platform tracks and records their performance as they navigate the disaster scene. Output from the system provides feedback to participants on their performance. Eventually, we hope that the First Responder system will serve both as an effective replacement for expensive conventional training methods as well as a safe and efficient platform for research on current triage protocols.
随着美国大规模伤亡事件持续升级,我们必须提高一线救援人员的表现,以增加受害者生存的几率。在本文中,我们介绍了急救人员虚拟现实模拟器,这是一种高保真、完全沉浸式、自动化、可编程的虚拟现实(VR)模拟,旨在培训一线救援人员对大规模伤亡事件的受害者进行治疗和分类。急救人员学员佩戴与兼容台式计算机相连的无线VR头戴式显示器。学员们会看到并听到自主、交互式的受害者,这些受害者被编程为模拟在地下空间爆炸中受伤的人员。急救人员配备虚拟医疗包,负责在现场对受害者进行分类和治疗。通过增加环境混乱程度、增加患者数量或提高患者受伤的严重程度,可以使VR环境更具挑战性。VR平台会在他们在灾难现场行动时跟踪并记录他们的表现。系统输出会向参与者提供有关其表现的反馈。最终,我们希望急救人员系统既能有效地替代昂贵的传统训练方法,又能成为研究当前分类协议的安全高效平台。