主管:国家卫生健康委员会
主办:国家卫生健康委医院管理研究所
中国科技核心期刊(中国科技论文统计源期刊)
中国科学引文数据库(CSCD)核心库期刊
《中文核心期刊要目总览》核心期刊

中国护理管理 ›› 2024, Vol. 24 ›› Issue (8): 1204-1208.doi: 10.3969/j.issn.1672-1756.2024.08.016

• 护理质量 • 上一篇    下一篇

基于大数据反馈的急诊预检全流程管理实践

杨旻斐 吴爱娜 吴爱青 沈卫娣 姚晓月 金静芬   

  1. 浙江大学医学院附属第二医院急诊科,310009 杭州市(杨旻斐,吴爱娜,吴爱青,沈卫娣,姚晓月);护理部(金静芬)
  • 出版日期:2024-08-15 发布日期:2024-08-15
  • 通讯作者: 姚晓月,硕士,主管护师,E-mail:aprilyao@zju.edu.cn
  • 作者简介:杨旻斐,硕士在读,副主任护师,总护士长

Application of the whole-process management in emergency triage based on the feedback of big data

YANG Minfei, WU Aina, WU Aiqing, SHEN Weidi, YAO Xiaoyue, JIN Jingfen   

  1. Emergency Department, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
  • Online:2024-08-15 Published:2024-08-15
  • Contact: E-mail:aprilyao@zju.edu.cn

摘要: 目的:评价基于大数据反馈的急诊预检全流程管理的效果,为提高急诊预检分诊质量提供借鉴。方法:采用历史对照研究方法,便利选取杭州市某三级甲等医院2021年4月22?689位急诊预检患者作为改进前组,接受常规急诊预检分诊管理;以2022年4月22?236位急诊预检患者作为改进后组,接受大数据反馈的急诊预检分诊全流程管理,包括预检前、中、后端质量的动态评估及持续改进。比较改进前后急诊预检分诊质量和效率。结果:实施基于大数据反馈的全流程预检管理后,患者分诊信息完整率、分诊级别符合率、响应时间符合率显著高于改进前(P<0.05),分诊候诊时间、候诊不良事件发生率显著低于改进前(P<0.05)。结论:基于大数据智能化及可视化的全流程管理可有效提高急诊预检分诊质量与效率,保障急诊患者安全。

关键词: 急诊预检分诊;大数据;全流程;质量管理

Abstract: Objective: To explore the effect of the whole-process management of emergency triage based on the feedback of Big data visualization technique, and provide reference for improving the quality of emergency triage. Methods: Using a historical controlled study method, 22689 patients for emergency triage in April 2021 from a tertiary grade A hospital in Hangzhou were conveniently selected as routine group and received routine emergency triage management, while 22236 patients for emergency triage in April 2022 were as the observation group and received the whole-process management in triage based on the feedback of big data, including the dynamic assessment and the continuous improvement of pre-check, middle, and back-end quality. The quality and efficiency of emergency triage before and after the implementation of the whole-process management were compared. Results: After the implementation of the whole-process management based on big data feedback, the completion rate of triage information, the compliance rate of triage and the target response time were significantly better than those with routine management (P<0.05), while the waiting time for patient and the incidence of adverse events were significantly lower (P<0.05). Conclusion: The whole-process management based on the feedback of big data visualization technique can effectively improve the quality and efficiency of emergency pre-check and triage, and guarantee the safety of emergency patients.

Key words: emergency service, triage; big data; whole-process management; quality management

中图分类号:  R47;R197