Yang Mi, Zhu Xiaojun, Yan Fei, Huang Xincheng, Wu Zhixue, Jiang Xin, Huang Yan, Li Zezhi
Department of Infection Management, The Fourth People's Hospital of Chengdu, No.8 Huli- West 1st-Alley, Jinniu District, Chengdu, 610036, China.
School of Software Engineering, Chengdu University of Information Technology, No.24 Block 1, Xuefu Road, Chengdu, 610225, China.
BMC Med Inform Decis Mak. 2025 Jan 6;25(1):7. doi: 10.1186/s12911-024-02809-4.
The practical application of infectious disease emergency plans in mental health institutions during the ongoing pandemic has revealed significant shortcomings. These manifest as chaotic management of mental health care, a lack of hospital infection prevention and control (IPC) knowledge among medical staff, and unskilled practical operation. These factors result in suboptimal decision-making and emergency response execution. Consequently, we have developed a digital-based emergency prevention and control system to reinforce IPC management in psychiatric hospitals and enhance the hospital IPC capabilities of medical staff.
The system incorporates modern technologies such as cloud computing, big data, streaming media, and knowledge graphs. A cloud service platform was established at the PaaS layer using Docker container technology to manage infectious disease emergency-related services. The system provides application services to various users through a Browser/Server Architecture. The system was implemented in a class A tertiary mental health center from March 1st, 2022, to February 28th, 2023. Twelve months of emergency IPC training and education were conducted based on the system. The system's functions and the users' IPC capabilities were evaluated.
A total of 116 employees participated in using the system. The system performance evaluation indicated that functionality (3.78 ± 0.68), practicality (4.02 ± 0.74), reliability (3.45 ± 0.50), efficiency (4.14 ± 0.69), accuracy (3.36 ± 0.58), and assessability (3.05 ± 0.47) met basic levels (> 3), with efficiency improvement and practicality achieving a good level (> 4). After 12 months of training and study based on the system, the participants demonstrated improved emergency knowledge (χ = 37.69, p < 0.001) and skills (p < 0.001).
The findings of this study indicate that the digital-based emergency IPC system has the potential to enhance the emergency IPC knowledge base and operational skills of medical personnel in psychiatric hospitals. Furthermore, the medical personnel appear to be better adapted to the system. Consequently, the system has the capacity to facilitate the emergency IPC response of psychiatric institutions to infectious diseases, while simultaneously optimising the training and educational methodologies employed in emergency prevention and control. The promotion and application of this system in psychiatric institutions has the potential to accelerate the digitalisation and intelligence construction of psychiatric hospitals.
在当前疫情期间,传染病应急预案在精神卫生机构中的实际应用暴露出显著缺陷。这些缺陷表现为精神卫生保健管理混乱、医务人员缺乏医院感染预防与控制(IPC)知识以及实际操作不熟练。这些因素导致决策和应急响应执行效果不佳。因此,我们开发了一个基于数字的应急防控系统,以加强精神病医院的IPC管理,并提高医务人员的医院IPC能力。
该系统融合了云计算、大数据、流媒体和知识图谱等现代技术。在PaaS层使用Docker容器技术建立了一个云服务平台,以管理与传染病应急相关的服务。该系统通过浏览器/服务器架构为各类用户提供应用服务。该系统于2022年3月1日至2023年2月28日在一家三级甲等精神卫生中心实施。基于该系统开展了为期十二个月的应急IPC培训和教育。对系统功能和用户的IPC能力进行了评估。
共有116名员工参与使用该系统。系统性能评估表明,功能性(3.78±0.68)、实用性(4.02±0.74)、可靠性(3.45±0.50)、效率(4.14±0.69)、准确性(3.36±0.58)和可评估性(3.05±0.47)达到基本水平(>3),其中效率提升和实用性达到良好水平(>4)。经过基于该系统的12个月培训和学习,参与者的应急知识(χ=37.69,p<0.001)和技能(p<0.001)得到了提高。
本研究结果表明,基于数字的应急IPC系统有潜力增强精神病医院医务人员的应急IPC知识库和操作技能。此外,医务人员似乎更能适应该系统。因此,该系统有能力促进精神病机构对传染病的应急IPC响应,同时优化应急防控中采用的培训和教育方法。该系统在精神病机构中的推广应用有可能加速精神病医院的数字化和智能化建设。