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First steps in establishing surveillance of bloodstream infections from electronic health record derived data, EU/EEA countries, March 2023 to March 2025
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Alexis Sentís1,*
,
Tine Dalby2,*
,
Tommi Κärki3
,
Francisco Orchard1
,
Angelo D'Ambrosio3
,
Miriam Van den Nest4
,
Bernhard Benka5
,
Nathalie Shodu6
,
Karl Mertens6
,
Emanuel Brađašević7,8
,
Antea Jezidžić7
,
Markella Marcou9
,
Linos Hadjihannas9
,
Jan Kubele10
,
Sophie Gubbels11
,
Louise Stougaard11
,
Liidia Dotsenko12
,
Piret Mitt13
,
Imke Wieters14
,
Alexandra Hoffmann14
,
Antonis Maragkos15
,
Fortunato D'Ancona16
,
Agnese Comelli17
,
Auguste Salnaite18
,
Andre Brincat19
,
Michael A Borg19
,
Manon Brekelmans20,21
,
Stephanie van Rooden20
,
Anders Skyrud Danielsen22
,
Torunn Alberg22
,
Irena Klavs23
,
Daša Kavka24
,
Lucía García-San Miguel25
,
Pilar Gallego-Berciano25
,
Hanna Billström26
,
Olov Aspevall26
,
Diamantis Plachouras3
,
Hanne-Dorthe Emborg2
,
Carlos Carvalho3
,
Anthony Nardone1
,
on behalf of the EHR-BSI working group27
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View Affiliations Hide AffiliationsAffiliations: 1 Epiconcept, Paris, France 2 Statens Serum Institut (SSI), Infectious Disease Epidemiology & Prevention, Copenhagen, Denmark 3 European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden 4 Austrian Agency for Health and Food Safety, Institute for Surveillance and Infectious Disease Epidemiology, Vienna, Austria 5 Austrian Agency for Health and Food Safety, Division Public Health, Vienna, Austria 6 Sciensano, Brussels, Belgium 7 Croatian Institute of Public Health, Division for Medical Informatics and Biostatistics, Zagreb, Croatia 8 ECDC Fellowship Programme, Field Epidemiology Path (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden 9 Medical and Public Health Services, Cyprus Ministry of Health, Nicosia, Cyprus 10 National Institute of Public Health (NIPH), Prague, Czechia 11 Statens Serum Institut (SSI), Department of Data Integration and Analysis, Copenhagen, Denmark 12 Department of Communicable Diseases Epidemiology, Health Board, Tallinn, Estonia 13 Tartu University Hospital, Tartu, Estonia 14 Robert Koch Institute, Berlin, Germany 15 Hellenic Centre for Disease Control and Prevention, Athens, Greece 16 Istituto Superiore di Sanità, Rome, Italy 17 Infectious Disease Consultant, General Directorate for Health, Lombardy Region, Milan, Italy 18 Institute of Hygiene, Vilnius, Lithuania 19 Mater Dei Hospital, Msida, Malta 20 Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands 21 Department of Medical Microbiology and Infection Control, University Medical Centre Utrecht, Utrecht, the Netherlands 22 Department of Infection Control and Preparedness, Norwegian Institute of Public Health (NIPH), Oslo, Norway 23 National Institute of Public Health (NIJZ), Ljubljana, Slovenia 24 National Laboratory for Health, Environment and Food (NLZOH), Ljubljana, Slovenia 25 Coordination Centre for Health Alerts and Emergencies, Ministry of Health, Madrid, Spain 26 Public Health Agency of Sweden, Solna, Sweden 27 The members of the EHR-BSI working group are listed under Acknowledgements* These authors contributed equally to the work and share first authorship.Correspondence:Tine Dalbytid ssi.dk
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View Citation Hide Citation
Citation style for this article: Sentís Alexis, Dalby Tine, Κärki Tommi, Orchard Francisco, D'Ambrosio Angelo, Van den Nest Miriam, Benka Bernhard, Shodu Nathalie, Mertens Karl, Brađašević Emanuel, Jezidžić Antea, Marcou Markella, Hadjihannas Linos, Kubele Jan, Gubbels Sophie, Stougaard Louise, Dotsenko Liidia, Mitt Piret, Wieters Imke, Hoffmann Alexandra, Maragkos Antonis, D'Ancona Fortunato, Comelli Agnese, Salnaite Auguste, Brincat Andre, Borg Michael A, Brekelmans Manon, van Rooden Stephanie, Skyrud Danielsen Anders, Alberg Torunn, Klavs Irena, Kavka Daša, García-San Miguel Lucía, Gallego-Berciano Pilar, Billström Hanna, Aspevall Olov, Plachouras Diamantis, Emborg Hanne-Dorthe, Carvalho Carlos, Nardone Anthony, on behalf of the EHR-BSI working group. First steps in establishing surveillance of bloodstream infections from electronic health record derived data, EU/EEA countries, March 2023 to March 2025. Euro Surveill. 2026;31(25):pii=2500618. https://doi.org/10.2807/1560-7917.ES.2026.31.25.2500618 Received: 08 Aug 2025; Accepted: 24 Mar 2026
Abstract
Enhancing surveillance of bloodstream infections (BSIs) by extracting data from electronic health records (EHR) is often the first step in automating the surveillance of healthcare-associated infections (HAIs).
We assessed existing BSI surveillance systems and the progress in implementing EHR-BSI surveillance within the ECDC project Surveillance from Electronic Health Data (SUREHD).
We summarised information on BSI surveillance systems through meetings with national representatives and review of national surveillance protocols and reports.
Of the 30 EU/EEA countries invited to join the SUREHD project, 17 actively participated from March 2023 to March 2025. All 17 countries conducted BSI surveillance within HAI or antimicrobial resistance programmes, and EHR-BSI surveillance was being implemented nationally (n = 9), regionally (n = 2) or at hospital level (n = 6). Reported challenges included data standardisation (n = 13), IT capacity (n = 10), data linkage (n = 7), system integration (n = 7) and data protection (n = 6). Few countries had access to structured EHR data on patient symptoms (n = 1), infection origin (n = 2) and catheter-related variables (n = 5). Most countries had not yet implemented data validation processes (n = 12) nor decided on standardised vocabularies for most variables. All countries aimed to automate EHR-BSI surveillance.
Automation of BSI surveillance is critically relevant for the development of surveillance systems and to support infection and control measures (IPC) for HAIs. Implementation of automated EHR-based BSI surveillance varied between countries; a generic protocol and a network of experts have established a way forward. Future efforts should focus on harmonisation, data quality, and leveraging EHR-BSI data to strengthen HAI surveillance and to improve IPC.
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