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医疗保健相关性感染自动化监测大规模实施的治理方面。

Governance aspects of large-scale implementation of automated surveillance of healthcare-associated infections.

机构信息

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.

Unit for Surveillance and Coordination, Public Health Agency of Sweden, Solna, Sweden.

出版信息

Clin Microbiol Infect. 2021 Jul;27 Suppl 1:S20-S28. doi: 10.1016/j.cmi.2021.02.026.

Abstract

OBJECTIVES

Surveillance of healthcare-associated infections (HAI) is increasingly automated by applying algorithms to routine-care data stored in electronic health records. Hitherto, initiatives have mainly been confined to single healthcare facilities and research settings, leading to heterogeneity in design. The PRAISE network - Providing a Roadmap for Automated Infection Surveillance in Europe - designed a roadmap to provide guidance on how to move automated surveillance (AS) from the research setting to large-scale implementation. Supplementary to this roadmap, we here discuss the governance aspects of automated HAI surveillance within networks, aiming to support both the coordinating centres and participating healthcare facilities as they set up governance structures and to enhance involvement of legal specialists.

METHODS

This article is based on PRAISE network discussions during two workshops. A taskforce was installed that further elaborated governance aspects for AS networks by reviewing documents and websites, consulting experts and organizing teleconferences. Finally, the article has been reviewed by an independent panel of international experts.

RESULTS

Strict governance is indispensable in surveillance networks, especially when manual decisions are replaced by algorithms and electronically stored routine-care data are reused for the purpose of surveillance. For endorsement of AS networks, governance aspects specifically related to AS networks need to be addressed. Key considerations include enabling participation and inclusion, trust in the collection, use and quality of data (including data protection), accountability and transparency.

CONCLUSIONS

This article on governance aspects can be used by coordinating centres and healthcare facilities participating in an AS network as a starting point to set up governance structures. Involvement of main stakeholders and legal specialists early in the development of an AS network is important for endorsement, inclusivity and compliance with the laws and regulations that apply.

摘要

目的

通过将电子病历中存储的常规护理数据应用于算法,对医疗保健相关感染(HAI)进行监测,这一做法正在变得越来越自动化。迄今为止,这些举措主要局限于单个医疗保健机构和研究环境,导致设计存在异质性。PRAISE 网络——为欧洲自动化感染监测提供路线图——设计了一份路线图,为如何将自动化监测(AS)从研究环境转移到大规模实施提供指导。作为该路线图的补充,我们在此讨论网络内自动化 HAI 监测的治理方面,旨在为协调中心和参与的医疗保健机构提供支持,帮助他们建立治理结构,并增强法律专家的参与度。

方法

本文基于 PRAISE 网络在两次研讨会期间的讨论。成立了一个工作组,通过审查文件和网站、咨询专家和组织电话会议,进一步阐述了 AS 网络的治理方面。最后,由一个独立的国际专家小组对本文进行了审查。

结果

在监测网络中,严格的治理是必不可少的,尤其是当人工决策被算法取代,并且为了监测目的而重新使用电子存储的常规护理数据时。为了支持 AS 网络,需要解决与 AS 网络具体相关的治理方面。关键考虑因素包括使参与和包容成为可能、对数据的收集、使用和质量(包括数据保护)的信任、问责制和透明度。

结论

本文关于治理方面的内容可供参与 AS 网络的协调中心和医疗保健机构用作建立治理结构的起点。在 AS 网络的开发早期让主要利益相关者和法律专家参与进来,对于获得认可、包容性和遵守适用的法律和法规非常重要。

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