Department of Medical Microbiology and Infection Control, University Medical Center Utrecht, the Netherlands.
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands; Centre for Infectious Disease Epidemiology and Surveillance National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Clin Microbiol Infect. 2021 Jul;27 Suppl 1:S3-S19. doi: 10.1016/j.cmi.2021.02.028.
Healthcare-associated infections (HAI) are among the most common adverse events of medical care. Surveillance of HAI is a key component of successful infection prevention programmes. Conventional surveillance - manual chart review - is resource intensive and limited by concerns regarding interrater reliability. This has led to the development and use of automated surveillance (AS). Many AS systems are the product of in-house development efforts and heterogeneous in their design and methods. With this roadmap, the PRAISE network aims to provide guidance on how to move AS from the research setting to large-scale implementation, and how to ensure the delivery of surveillance data that are uniform and useful for improvement of quality of care.
The PRAISE network brings together 30 experts from ten European countries. This roadmap is based on the outcome of two workshops, teleconference meetings and review by an independent panel of international experts.
This roadmap focuses on the surveillance of HAI within networks of healthcare facilities for the purpose of comparison, prevention and quality improvement initiatives. The roadmap does the following: discusses the selection of surveillance targets, different organizational and methodologic approaches and their advantages, disadvantages and risks; defines key performance requirements of AS systems and suggestions for their design; provides guidance on successful implementation and maintenance; and discusses areas of future research and training requirements for the infection prevention and related disciplines. The roadmap is supported by accompanying documents regarding the governance and information technology aspects of implementing AS.
Large-scale implementation of AS requires guidance and coordination within and across surveillance networks. Transitions to large-scale AS entail redevelopment of surveillance methods and their interpretation, intensive dialogue with stakeholders and the investment of considerable resources. This roadmap can be used to guide future steps towards implementation, including designing solutions for AS and practical guidance checklists.
医疗保健相关感染（HAI）是医疗保健中最常见的不良事件之一。HAI 的监测是成功感染预防计划的关键组成部分。传统监测 - 手动图表审查 - 资源密集且受到可靠性的关注。这导致了自动化监测（AS）的开发和使用。许多 AS 系统是内部开发工作的产物，在设计和方法上存在差异。通过本路线图，PRAISE 网络旨在提供如何将 AS 从研究环境转移到大规模实施的指导，以及如何确保提供统一且有助于改善护理质量的监测数据。
PRAISE 网络汇集了来自十个欧洲国家的 30 名专家。本路线图基于两次研讨会、电话会议和独立国际专家小组的审查结果。
本路线图专注于医疗机构网络内的 HAI 监测，目的是进行比较、预防和质量改进举措。路线图如下：讨论监测目标的选择、不同的组织和方法学方法及其优缺点和风险；定义 AS 系统的关键性能要求，并为其设计提供建议；提供成功实施和维护的指导；并讨论未来研究和感染预防及相关学科培训要求的领域。本路线图得到了有关实施 AS 的治理和信息技术方面的配套文件的支持。
大规模实施 AS 需要在监测网络内和跨网络进行指导和协调。向大规模 AS 的过渡需要重新开发监测方法及其解释，与利益相关者进行密集对话，并投入大量资源。本路线图可用于指导未来的实施步骤，包括为 AS 设计解决方案和实用指南清单。
