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 (1): 106-111.doi: 10.3969/j.issn.1672-1756.2025.01.021

• 数智化护理 • 上一篇    下一篇

手卫生智慧管理平台的构建与效果评价

张茹 张翔 肖敏 鲁杰 张翔 李春雨 赵鹏程   

  1. 南京医科大学第一附属医院急诊与危重症医学科,210029 南京市(张茹,张翔,肖敏,李春雨,赵鹏程);感染管理处(张翔);南京邮电大学边缘智能研究院(鲁杰)
  • 出版日期:2025-01-15 发布日期:2025-01-15
  • 通讯作者: 赵鹏程,硕士,住院医师,E-mail:18905118622@163.com
  • 作者简介:张茹,本科,副主任护师,护士长
  • 基金资助:
    江苏省医院协会医院管理创新研究重点课题(JSYGY-3-2023-384)

Development and effects evaluation of an intelligent management platform for hand hygiene

ZHANG Ru, ZHANG Xiang, XIAO Min, LU Jie, ZHANG Xiang, LI Chunyu, ZHAO Pengcheng   

  1. Department of Emergency and Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
  • Online:2025-01-15 Published:2025-01-15
  • Contact: E-mail:18905118622@163.com

摘要: 目的:构建人工智能物联网手卫生智慧管理平台,助推手卫生执行行为,提高监测精准度,提升管理效能。方法:融合人工智能视觉分析技术和精准定位技术,自建数据集训练专用目标检测模型,设计触碰检测逻辑,与物联网联合构建手卫生智慧管理平台,实现实时动态提醒工作人员执行手卫生的预警机制。通过大数据监测分析手卫生依从率与直接观察法得出的结果对比,结合院内感染相关指标分析评价其临床效果。结果:手卫生智慧管理平台监测出的手卫生依从率与直接观察法具有一致性(P<0.05);智慧管理平台应用后,手卫生依从率明显提升,同期医院感染发生率和重点监测的多重耐药菌检出率明显降低,手消毒液消耗量增加(P<0.05)。结论:人工智能物联网手卫生智慧管理平台,能够更全面、真实、准确地记录工作人员手卫生的执行情况,提高手卫生执行率,且能一定程度上改善院内感染相关指标,让管理更加精细化、智能化,为医院管理者制定相关决策提供数据支撑。

关键词: 人工智能;物联网;手卫生;重症监护病房;医院感染控制

Abstract: Objective: To develop an intelligent management platform for hand hygiene. Methods: An intelligent management platform was developed based on the integrate artificial intelligence vision analysis technology and accurate positioning technology. To develop the platform, a data set for training the model of objective detection was built, a logic for touch detection was set up, and the internet of things was also integrated. The intelligent management platform can monitor and remind the hand hygiene of health professionals. The effects of the intelligent platform were observed through compliance with the hand hygiene through big data and direct observation. Besides, the relevant indicators of nosocomial infection were also used for the effects evaluation. Results: The compliance rate of hand hygiene monitored by the platform was consistent with that of direct observation (P<0.05). After the launch of the platform, the compliance rate of hand hygiene was increased, the detection rate of multi-drug resistant bacteria was decreased, and the consumption of hand disinfectant was increased (P<0.05). Conclusion: The intelligent management platform for hand hygiene based on artificial intelligence and internet of things can comprehensively and accurately record the performance of hand hygiene of health professionals, improve the compliance rate of hand hygiene, and decrease the nosocomial infection. The intelligent platform can make hand hygiene management more refined, intelligent and provide data support to clinical decisions for hospital administrators.

Key words: Artificial Intelligence; internet of thing; hand hygiene; Intensive Care Unit; hospital infection control

中图分类号:  R47;R197