智能急诊分诊诊断治疗系统的研发与应用

目的 探讨智能急诊分诊诊断治疗系统在急诊科分诊中的应用效果。方法 采取便利抽样的方法,选择某三级甲等医院400例急诊科就诊患者为研究对象,根据入院时间先后顺序将其分为对照组和观察组各200例,对照组采用常规人工预检分诊,观察组应用智能急诊分诊诊断治疗系统预检分诊,比较2组患者病情资料收集时间、分诊时间、过度分诊率及患者对护士分诊工作的满意度。结果 观察组的病情资料收集时间、分诊时间均比对照组短,差异有统计学意义（P<0.05）;观察组护士过度分诊率比对照组低,差异有统计学意义（P<0.05）;同时,观察组患者对护士分诊工作表示满意的有196例,对照组中40例患者认为分诊较慢、流程繁琐等原因,表示不满意,2组满意度的比较差异有统计学意义（P<0.05）。结论 在急诊科,结合应用智能急诊分诊诊断治疗系统,优化急诊分诊流程,快速对患者病情进行分类和归纳,减少了分诊时间,保障护士的分诊效率,从而进一步保障患者安全,提高患者的满意度。

Development and Application of Smart Emergency Triage System

Objective To explore a smart emergency triage system in emergency department. Methods With convenient sampling, 400 patients in emergency department of one tertiary grade A hospital were selected as the observation objects and they were divided into control group (conventional triage group, n=200) and observation group (triage group with smart triage system, n=200). Condition assessment time, triage time, excessive triage rate and patients' satisfaction with the triage between the two groups were compared. Results There were shorter time of data collection and triage and lower rate of excessive triage in the observation group, indicating statistical significance (P<0.05). Totally 196 patients in the observation group were satisfied with the triage while 40 not. The difference in satisfaction degree showed statistical significance(P<0.05). Conclusion In emergency department, with the developed smart emergency triage system, emergency triage process is optimized, which helps to quickly classify patients' conditions, thus to reduce triage time and improve working efficiency and patients' satisfaction in emergency department.