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Development of automated triage system for emergency medical service

机译:开发用于紧急医疗服务的自动分类系统

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Emergency department is the frontline and critical service of a hospital which provides wide ranges of medical services which includes diagnostic, resuscitation and stabilization components to save life. Triage is a process that assists assistant medical officer to justify condition of patient and arrange appropriate treatment for them. According to The Policy of Emergency Medicine and Trauma Service of Malaysia, all patients who accessing to any treatment in emergency department shall proceed to triage. However, the ongoing crowding of emergency department has led to calls for improvement of triage system to facilitate effectiveness of this process. To overcome this problem, a computerized triage system known as Automated Triage System was developed to perform triage within time limitation for each patient and consistent triage decision. Automated triage system could improve quality of service and reduce costs due to misappropriate of resources. The developed system consists of biomedical modules, graphical user interface (GUI) using Microsoft Visual Studio and triage decision making algorithm. This system acquires vital signs, syndrome and chief complaint from patient. The acquired data will be analyzed using triage decision making algorithm and triage level of a patient will be reported instantly. All information and patient records will be stored in database for future reference. Finally, an automated triage system has been designed and developed to assists assistant medical officer to perform triage assessment in Emergency Room. This system can provide accurate and specific triage output compared to the one done by assistant medical officer. The average time taken to perform the triage assessment using this system is around 6 minutes.
机译:急诊科是医院的前线和关键服务,它提供广泛的医疗服务,包括诊断,复苏和稳定组件,以挽救生命。分诊是协助助理医务人员证明患者病情并为他们安排适当治疗的过程。根据《马来西亚急诊医学和创伤服务政策》,所有在急诊科接受任何治疗的患者均应进行分流。然而,急诊部门的持续拥挤导致人们呼吁改善分类系统,以促进这一过程的有效性。为了克服这个问题,开发了一种称为自动分类系统的计算机分类系统,以在每个患者的时间限制内进行分类并做出一致的分类决策。自动化的分类系统可以提高服务质量,并由于资源使用不当而降低成本。开发的系统包括生物医学模块,使用Microsoft Visual Studio的图形用户界面(GUI)和分类诊断算法。该系统可获取患者的生命体征,综合症和主要症状。使用分类决策算法分析获取的数据,并立即报告患者的分类级别。所有信息和患者记录将存储在数据库中,以备将来参考。最后,已设计并开发了一种自动分类系统,可协助助理医务人员在急诊室进行分类评估。与助理医务人员相比,该系统可以提供准确和特定的分类诊断输出。使用此系统执行分类评估所需的平均时间约为6分钟。

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