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Governance aspects of large-scale implementation of automated surveillance of healthcare-associated infections.
van Rooden, Stephanie M; Aspevall, Olov; Carrara, Elena; Gubbels, Sophie; Johansson, Anders; Lucet, Jean-Christophe; Mookerjee, Siddharth; Palacios-Baena, Zaira R; Presterl, Elisabeth; Tacconelli, Evelina; Abbas, Mohamed; Behnke, Michael; Gastmeier, Petra; van Mourik, Maaike S M.
Afiliação
  • van Rooden SM; 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. Electronic address: stephanie.van
  • Aspevall O; Unit for Surveillance and Coordination, Public Health Agency of Sweden, Solna, Sweden.
  • Carrara E; Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
  • Gubbels S; Data Integration and Analysis Secretariat, Statens Serum Institut, Copenhagen, Denmark.
  • Johansson A; Clinic for Infectious Diseases, Umea University, Umea, Sweden.
  • Lucet JC; Infection Control Unit, Hôpital Bichat-Claude Bernard Assistance Publique - Hôpitaux de Paris, Paris, France.
  • Mookerjee S; Department of Infection Prevention and Control, Imperial College Healthcare NHS Trust, London, UK.
  • Palacios-Baena ZR; Unit of Infectious Diseases, Clinical Microbiology and Preventive Medicine, Hospital Universitario Virgen Macarena, Institute of Biomedicine of Seville (IBIS), Seville, Spain.
  • Presterl E; Department of Infection Control and Hospital Epidemiology, Medical University of Vienna, Vienna, Austria.
  • Tacconelli E; Infectious 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.
  • Abbas M; Infection Control Programme, Geneva University Hospitals, Geneva, Switzerland.
  • Behnke M; National 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.
  • Gastmeier P; National 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.
  • van Mourik MSM; Department of Medical Microbiology and Infection Control, University Medical Center Utrecht, Utrecht, the Netherlands.
Clin Microbiol Infect ; 27 Suppl 1: S20-S28, 2021 Jul.
Article em En | MEDLINE | ID: mdl-34217464
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecção Hospitalar / Controle de Infecções / Monitoramento Epidemiológico Tipo de estudo: Risk_factors_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecção Hospitalar / Controle de Infecções / Monitoramento Epidemiológico Tipo de estudo: Risk_factors_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article