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    Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases. pii: S1198-743X(21)00109-9. doi: 10.1016/j.cmi.2021.02.026
    Governance aspects of large-scale implementation of automated surveillance of healthcare-associated infections.
    van Rooden SM1,  Aspevall O2,  Carrara E3,  Gubbels S4,  Johansson A5,  Lucet JC6,  Mookerjee S7,  Palacios-Baena ZR8,  Presterl E9,  Tacconelli E10,  Abbas M11,  Behnke M12,  Gastmeier P13,  van Mourik MSM14
    Author information
    1Julius 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. Electronic address: stephanie.van.rooden@rivm.nl.
    2Unit for Surveillance and Coordination, Public Health Agency of Sweden, Solna, Sweden.
    3Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
    4Data Integration and Analysis Secretariat, Statens Serum Institut, Copenhagen, Denmark.
    5Clinic for Infectious Diseases, Umea University, Umea, Sweden.
    6Infection Control Unit, Hôpital Bichat-Claude Bernard Assistance Publique - Hôpitaux de Paris, Paris, France.
    7Department of Infection Prevention and Control, Imperial College Healthcare NHS Trust, London, UK.
    8Unit of Infectious Diseases, Clinical Microbiology and Preventive Medicine, Hospital Universitario Virgen Macarena, Institute of Biomedicine of Seville (IBIS), Seville, Spain.
    9Department of Infection Control and Hospital Epidemiology, Medical University of Vienna, Vienna, Austria.
    10Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy; Infectious Diseases, Research Clinical Unit, DZIF Center, University Hospital Tübingen, Tübingen, Germany.
    11Infection Control Programme, Geneva University Hospitals, Geneva, Switzerland.
    12National Reference Center for Surveillance of Nosocomial Infections, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany.
    13National Reference Center for Surveillance of Nosocomial Infections, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Hygiene and Environmental Medicine, Berlin, Germany.
    14Department of Medical Microbiology and Infection Control, University Medical Center Utrecht, Utrecht, the Netherlands.
    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.


    Copyright © 2021. Published by Elsevier Ltd.

    KEYWORDS: Algorithm, Governance, Healthcare-associated infections, Regulation, Surveillance

    Publikations ID: 34217464
    Quelle: öffnen
     
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