TY - JOUR
T1 - Governance aspects of large-scale implementation of automated surveillance of healthcare-associated infections
AU - van Rooden, Stephanie M.
AU - Aspevall, Olov
AU - Carrara, Elena
AU - Gubbels, Sophie
AU - Johansson, Anders
AU - Lucet, Jean Christophe
AU - Mookerjee, Siddharth
AU - Palacios-Baena, Zaira R.
AU - Presterl, Elisabeth
AU - Tacconelli, Evelina
AU - Abbas, Mohamed
AU - Behnke, Michael
AU - Gastmeier, Petra
AU - van Mourik, Maaike S.M.
N1 - Funding Information:
This article is part of a supplement entitled Implementing Automated Surveillance of Healthcare-Associated Infections (HAI) sponsored by the PRAISE network (supported under 7th transnational call within the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR), Network Call on Surveillance (2018) and funded by ZonMw (grant number 549007001 )), the COMBACTE MAGNET EPI-Net project (funded by the Innovative Medicines Initiative Joint Undertaking under grant agreement n° 115523 | 115620 | 115737 | 777362 resources of which are composed of financial contribution from the European Union Seventh Framework Programme ( FP7/2007-2013 ) and EFPIA companies in kind contribution).
Funding Information:
This network has been supported under the 7th transnational call within the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR), Network Call on Surveillance (2018) and was thereby funded by ZonMw (grant 549007001 ). This project also received support from the COMBACTE MAGNET EPI-Net project funded by the Innovative Medicines Initiative Joint Undertaking under grant agreement 115523 | 115620 | 115737 | 777362 , resources of which are composed of financial contribution from the European Union Seventh Framework Programme ( FP7/2007-2013 ) and EFPIA companies in kind contribution. J.K.V. was supported by grants from Region Stockholm and VINNOVA . All other authors report no conflicts of interest relevant to this article.
Publisher Copyright:
© 2021
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - Algorithm
KW - Governance
KW - Healthcare-associated infections
KW - Regulation
KW - Surveillance
UR - http://www.scopus.com/inward/record.url?scp=85108867027&partnerID=8YFLogxK
U2 - 10.1016/j.cmi.2021.02.026
DO - 10.1016/j.cmi.2021.02.026
M3 - Article
AN - SCOPUS:85108867027
SN - 1198-743X
VL - 27
SP - S20-S28
JO - Clinical Microbiology and Infection
JF - Clinical Microbiology and Infection
IS - Supplement 1
ER -