Pediatric Trauma and Burns, The Children's Hospital, Aurora, Colorado 80045, USA.
Curr Opin Pediatr. 2010 Jun;22(3):332-8. doi: 10.1097/MOP.0b013e328338da83.
Current Emergency Medical Service protocols rely on provider-directed care for evaluation, management and triage of injured patients from the field to a trauma center. New methods to quickly diagnose, support and coordinate the movement of trauma patients from the field to the most appropriate trauma center are in development. These methods will enhance trauma care and promote trauma system development.
Recent advances in machine learning, statistical methods, device integration and wireless communication are giving rise to new methods for vital sign data analysis and a new generation of transport monitors. These monitors will collect and synchronize exponentially growing amounts of vital sign data with electronic patient care information. The application of advanced statistical methods to these complex clinical data sets has the potential to reveal many important physiological relationships and treatment effects.
Several emerging technologies are converging to yield a new generation of smart sensors and tightly integrated transport monitors. These technologies will assist prehospital providers in quickly identifying and triaging the most severely injured children and adults to the most appropriate trauma centers. They will enable the development of real-time clinical support systems of increasing complexity, able to provide timelier, more cost-effective, autonomous care.
目前的紧急医疗服务协议依赖于提供者指导的护理,对从现场到创伤中心的受伤患者进行评估、管理和分诊。目前正在开发新的方法,以便能够快速诊断、支持和协调创伤患者从现场转移到最合适的创伤中心。这些方法将增强创伤护理并促进创伤系统的发展。
机器学习、统计方法、设备集成和无线通信的最新进展为生命体征数据分析和新一代运输监测器带来了新的方法。这些监测器将收集和同步与电子患者护理信息相关的呈指数增长的大量生命体征数据。将先进的统计方法应用于这些复杂的临床数据集有可能揭示许多重要的生理关系和治疗效果。
几种新兴技术正在融合,产生新一代的智能传感器和紧密集成的运输监测器。这些技术将帮助院前提供者快速识别和分诊最严重的受伤儿童和成人,并将他们送往最合适的创伤中心。它们将使实时临床支持系统能够发展得更加复杂,从而能够提供更及时、更具成本效益、更自主的护理。