ISSN 2096-7446　CN 10-1655/R
主管：中国科学技术协会
主办：中华护理学会
中华急危重症护理杂志

中华急危重症护理杂志 ›› 2020, Vol. 1 ›› Issue (6): 525-528.

• 质量与安全 • 上一篇    下一篇

常态化防疫背景下急诊预检分诊的管理策略

杨旻斐 姚晓月 吴爱青 沈卫娣 金静芬   

  1. 浙江大学医学院附属第二医院急诊科
  • 收稿日期:2020-05-31 出版日期:2020-11-10 发布日期:2020-11-27

Management strategy of emergency triage under normal epidemic prevention

YANG Minfei,YAO Xiaoyue, WUAiqing, SHEN Weidi, JIN Jingfen   

  • Received:2020-05-31 Online:2020-11-10 Published:2020-11-27

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摘要：

 目 的: 探讨常态化防疫背景下急诊预检分诊流程及管理策略。方法根据患者的流行病学史 及症状对预检分诊路径进行改造,增设特殊诊间。运用大数据共享技术将患者健康码信息导入预检分诊系统。比较2020年1月一6月与2019年1月- -6月接诊患者人次、入抢救室人次的变化趋势。比较新型冠状病毒肺炎疫情开始前、中、后期患者分级构成及不同时间段I ~IV级患者预检分诊耗时。结果:2020年1月- -6月急诊总接诊例次较2019年同期下降 69.60%;入抢救室患者例数较2019年同比下降31.80%。疫情中期与前期相比,除I级患者外,其他级别患者分诊耗时差异有统计学意义(P<0.05);疫情后期I级、II级患者分诊耗时与疫情前期比较,差异无统计学意义(P>0.05);I级、IV级患者分诊耗时与前期比较,差异有统计学意义(P<0.05)。结论:在常 态化防疫背景下对预检分诊路径进行改进并运用大数据共享技术能提高急诊预检筛查的准确性和时效性。

关键词:

常态化防疫, 急诊室,医院, 预检分诊, 大数据

Abstract:


Objective To discuss management strategy of emergency triage under the background of normal epidemic prevention. Methods According to the epidemiological history and symptoms of the patients , the triage path was modified and a special clinic room was added. The Internet big data sharing technology was used to importthe patient health code information into the triage system. The trend changes of patient attendance and emergencyroom attendance from January to June of 2020 and 2019 were compared. Comparing the levels of patients and level I -IV triage time among different periods of the epidemic. Results From January to June 2020 ，the numberof patients decreased by 52.54% compared with the same period in 2019, and the number of patients admitted to resuscitation room increased by 0.82% compared with that in 2019. The differences of triage time consuming for different triage levels except levelI were statistically significant in the early and the middle period of the epidemic (P<0.05). The triage time for patients with level I and II had no statistical difference in the early and late period of the epidemic (P>0.05),while the triage time for level II and IV patients was statistically different (P<0.05). Conclusion Under the normal epidemic prevention, the reformed triage path and the use of Intermet big data sharing technology can improve the accuracy and timeliness of emergency triage process.


Key words:

Normal Epidemic Prevention, Emergency Service, Hospital, Triage, Big Data