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 ›› 2023, Vol. 23 ›› Issue (10): 1521-1524.doi: 10.3969/j.issn.1672-1756.2023.10.016

• 数智化护理 • 上一篇    下一篇

非计划性拔管评估及临床决策支持信息系统的开发与应用

王攀峰 刘育岐 杨秀 张婧暄 张晓静 李葆华   

  1. 北京大学第三医院肿瘤放疗科,100191 北京市(王攀峰,杨秀);全科医学科(张晓静);护理部(李葆华);北京大学护理学院(刘育岐,张婧暄)
  • 出版日期:2023-10-15 发布日期:2023-10-15
  • 通讯作者: 李葆华,硕士,主任护师,护理部主任,E-mail:lianglbh@163.com
  • 作者简介:王攀峰,硕士,主任护师,护理部副主任
  • 基金资助:
    2022年护理种子基金(BYSYHL2022002)

Development and application of the information system for Unplanned Extubation assessment and clinical decision-making support

WANG Panfeng, LIU Yuqi, YANG Xiu, ZHANG Jingxuan, ZHANG Xiaojing, LI Baohua   

  1. Department of Radiation Oncology, Peking University Third Hospital, Beijing, 100191, China
  • Online:2023-10-15 Published:2023-10-15
  • Contact: E-mail:lianglbh@163.com

摘要: 目的:构建非计划性拔管评估及临床决策支持信息系统,评估其应用效果,以期帮助护士做出更佳的护理决策,减少非计划性拔管的发生,保障患者安全。方法:在医院移动护理系统基础上,设计非计划性拔管评估及决策支持信息系统,包括非计划性拔管的风险评估及根据风险等级给予临床护理决策支持模块,并将该系统在全院护理单元推广应用,通过比较应用该系统前后的非计划性拔管数量,评价该系统的应用效果。结果:构建的非计划性拔管评估及决策支持信息系统具有临床实用性,筛选出全院高风险管路占比为13.97%(38?101/272?654)、极高风险管路占比为16.87%(45 997/272 654);在应用系统后,全院的非计划性拔管例数从每年31例降到每年15例。结论:非计划性拔管评估及临床决策支持信息系统可帮助护士对非计划性拔管风险做出更加准确、全面、客观的判断,降低患者的非计划性拔管率,提高护理管理的效率与水平。

关键词: 非计划性拔管;风险评估;决策支持;信息系统

Abstract: Objective: To develop an information system for Unplanned Extubation assessment and clinical decision-making support, and evaluate its effectiveness. Methods: Based on the Mobile Nursing System in our hospital, we designed an information system for Unplanned Extubation assessment and decision-making support, including risk assessment for Unplanned Extubation and a module to offer support to clinical nursing decision-making according to the risk level, and applied the system to all the units throughout the hospital to explore its effectiveness by analyzing the number of Unplanned Extubations before and after the application of the system. Results: This information system worked well in clinical applications. A total of 38,101 high-risk cases (13.97%) of 272,654 patients and 45,997 extremely high-risk cases (16.87%) were identified hospital-wide. And the number of annual Unplanned Extubations fell from 31 to 15. Conclusion: The information system for Unplanned Extubation assessment and decision-making support can help nurses make more accurate, comprehensive and objective judgements about the risks of Unplanned Extubation and reduce the rate of Unplanned Extubation of patients to improve the effectiveness and efficiency of nursing management.

Key words: Unplanned Extubation; risk assessment; decision-making; information system

中图分类号:  R47;R197