TY - JOUR
T1 - First steps in establishing surveillance of bloodstream infections from electronic health record derived data, EU/EEA countries, March 2023 to March 2025
AU - Sentís, Alexis
AU - Dalby, Tine
AU - Κärki, Tommi
AU - Orchard, Francisco
AU - D'Ambrosio, Angelo
AU - Van den Nest, Miriam
AU - Benka, Bernhard
AU - Shodu, Nathalie
AU - Mertens, Karl
AU - Brađašević, Emanuel
AU - Jezidžić, Antea
AU - Marcou, Markella
AU - Hadjihannas, Linos
AU - Kubele, Jan
AU - Gubbels, Sophie
AU - Stougaard, Louise
AU - Dotsenko, Liidia
AU - Mitt, Piret
AU - Wieters, Imke
AU - Hoffmann, Alexandra
AU - Maragkos, Antonis
AU - D'Ancona, Fortunato
AU - Comelli, Agnese
AU - Salnaite, Auguste
AU - Brincat, Andre
AU - Borg, Michael A.
AU - Brekelmans, Manon
AU - van Rooden, Stephanie
AU - Skyrud Danielsen, Anders
AU - Alberg, Torunn
AU - Klavs, Irena
AU - Kavka, Daša
AU - García-San Miguel, Lucía
AU - Gallego-Berciano, Pilar
AU - Billström, Hanna
AU - Aspevall, Olov
AU - Plachouras, Diamantis
AU - Emborg, Hanne Dorthe
AU - Carvalho, Carlos
AU - Nardone, Anthony
N1 - Publisher Copyright:
© 2026, European Centre for Disease Prevention and Control (ECDC). All rights reserved.
PY - 2026/6/1
Y1 - 2026/6/1
N2 - BACKGROUNDEnhancing 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).AIMWe assessed existing BSI surveillance systems and the progress in implementing EHR-BSI surveillance within the ECDC project Surveillance from Electronic Health Data (SUREHD).METHODSWe summarised information on BSI surveillance systems through meetings with national representatives and review of national surveillance protocols and reports.RESULTSOf 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.CONCLUSIONAutomation 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.
AB - BACKGROUNDEnhancing 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).AIMWe assessed existing BSI surveillance systems and the progress in implementing EHR-BSI surveillance within the ECDC project Surveillance from Electronic Health Data (SUREHD).METHODSWe summarised information on BSI surveillance systems through meetings with national representatives and review of national surveillance protocols and reports.RESULTSOf 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.CONCLUSIONAutomation 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.
KW - Bloodstream infection
KW - Electronic Health Records
KW - Healthcare-associated infections
KW - Public health surveillance
UR - https://www.scopus.com/pages/publications/105043665890
U2 - 10.2807/1560-7917.ES.2026.31.25.2500618
DO - 10.2807/1560-7917.ES.2026.31.25.2500618
M3 - Article
C2 - 42359545
AN - SCOPUS:105043665890
SN - 1560-7917
VL - 31
JO - Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
JF - Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin
IS - 25
M1 - 2500618
ER -