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 ›› 2025, Vol. 25 ›› Issue (2): 161-166.doi: 10.3969/j.issn.1672-1756.2025.02.001

• 特别策划·数字健康技术 • 上一篇    下一篇

一院多区背景下数智化护理质量管理系统的构建及应用

骆金铠 张杰 孙萌 毛文平 谢长清 王云 李谷维   

  1. 首都医科大学附属北京友谊医院护理部,100050 北京市(骆金铠,张杰,孙萌,毛文平,谢长清,李谷维);首都医科大学(王云)
  • 出版日期:2025-02-15 发布日期:2025-02-15
  • 通讯作者: 毛文平,硕士在读,主管护师,护士长,E-mail:mwp1206@126.com
  • 作者简介:骆金铠,硕士,主任护师,院长助理,护理部主任,顺义院区综合办公室主任
  • 基金资助:
    北京市卫生健康委高层次公共卫生技术人才建设项目(2022-3-001);国家卫生健康委医院管理研究所“我国公立医院‘一院多区’管理现状与发展策略研究”项目(NIHA24YYDQ29)

Construction and application of digital intelligence nursing quality management system in a multi-campus hospital

LUO Jinkai, ZHANG Jie, SUN Meng, MAO Wenping, XIE Changqing, WANG Yun, LI Guwei   

  1. Nursing Department, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
  • Online:2025-02-15 Published:2025-02-15
  • Contact: E-mail:mwp1206@126.com

摘要: 目的:构建适用于医院一院多区的数智化护理质量管理系统,并分析其应用效果,为提升多院区护理质量管理的同质化与高效性提供借鉴。方法:构建包括核心制度库、护理指标库、检查任务、检查结果、闭环整改、统计分析6个部分的数智化护理质量管理系统,并于2024年8月将系统逐步推行至医院3个院区应用。比较系统应用前后质量控制成绩、质量控制效率;比较系统应用后医院3个院区的护理质量控制成绩。结果:与系统应用前相比,系统应用后质量控制成绩提高,质量控制检查、结果录入、统计分析、形成报告各环节耗时分别减少33.57、6.57、26.50、29.78?min/次,差异具有统计学意义(P<0.05)。系统在医院3个院区同步应用后,不同院区的护理质量控制成绩总分差异无统计学意义(P>0.05)。结论:在医院多院区应用数智化护理质量管理系统可促进不同院区护理质量控制的同质化管理效果和管理效率的提升。

关键词: 护理质量;一院多区;数智化技术;同质化管理

Abstract: Objective: To construct a digital intelligent nursing quality management system applicable to multi-campus hospitals and evaluate its application effects, providing a reference for improving the standardization and efficiency of nursing quality management across multiple hospital campuses. Methods: A digital intelligent nursing quality management system was developed, encompassing six key components: core system library, nursing indicator library, inspection tasks, inspection results, closed-loop rectification, and statistical analysis. The system was gradually implemented across three hospital campuses from August 2024. The nursing quality control scores and time consumption were compared before and after the system's implementation. Additionally, the nursing quality control scores among the three hospital campuses were analyzed after the application of the system. Results: After system application, nursing quality control score significantly improved, and the time required for quality control checks, data input, statistical analysis, and report formation were reduced by 33.57, 6.57, 26.50, 29.78 minutes each time, respectively, the differences were statistically significant (P<0.05). Following the synchronized application of the system across three hospital campuses, no statistically significant differences were observed in the total nursing quality control scores among the hospital campuses (P>0.05). Conclusion: The implementation of the digital intelligent nursing quality management system enhances the standardization and efficiency of nursing quality control in multiple hospital campuses.

Key words: nursing quality; multi-campus; digital intelligence technology; homogenization management

中图分类号:  R47;R197