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May 17, 2026Eurosurveillance0 citationsOpen Access

Current state and potential of hospitals for automated healthcare-associated infection surveillance: data from 24 European countries, 2022 to 2023

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FRFerenc Darius RütherMGMariana GuedesEPElisabeth Presterl

Key Points

  • The aim is to evaluate the current adoption and feasibility of automated surveillance for healthcare-associated infections in European hospitals.
  • Analyzed data from the 2022-2023 European Centre for Disease Prevention and Control Point Prevalence Survey including 992 hospitals.
  • Evaluated the degree of automated surveillance and digital data storage for seven types of healthcare-associated infections.
  • Performed descriptive analyses stratified by geographic region and hospital characteristics.
  • Fully manual surveillance was most common, ranging from 38.8% for healthcare-associated pneumonia to 45.4% for Clostridioides difficile infections.
  • Proportion of hospitals using some automation varied, with fully automated surveillance at 1.8-2.9% and semi-automated at 12.2-16.9%.
  • Tertiary hospitals showed higher automation levels compared to smaller hospitals (≤ 250 beds), which had lower automation despite similar digital data storage.

Abstract

BACKGROUND Although electronic health records are increasingly used for automated surveillance (AS) of healthcare-associated infections (HAIs), implementation is still a challenge. To develop more targeted implementation initiatives across Europe, knowledge about the current state of AS and potential to implement AS systems is needed. AIM To assess the adoption and feasibility of AS based on the 2022–2023 European Centre for Disease Prevention and Control (ECDC) Point Prevalence Survey (PPS). METHODS The 2022–2023 ECDC PPS included questions on the degree of AS and digital data storage for seven HAIs. Descriptive analyses of the responses were performed and stratified by geographic region and hospital characteristics. Categorical variables were analysed as such and converted to ordinal scales. RESULTS Overall, 992 hospitals from 24 European countries participated. Across all seven HAIs, fully manual surveillance was the most common method (from healthcare-associated pneumonia (HAP) 38.8% to Clostridioides difficile infection (CDI) 45.4%). A considerable proportion, i.e. 19.3% (HAP) to 29.8% (CDI), employed some form of automation (automated denominator 5.3–11.3%; semi-automated 12.2–16.9%; fully automated 1.8–2.9%). Many hospitals not employing AS had required source data digitally stored. Generally, tertiary hospitals had higher levels of automation and digital data storage compared with other hospital types. Smaller hospitals (≤ 250 beds) had lower levels of automation, but a similar level of digital data storage compared with larger hospitals. CONCLUSION This study highlights variability in AS implementation and digital potential across European hospitals and underscores the need for targeted strategies to advance AS adoption and optimise surveillance.

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Cite This Study

Rüther et al. (2026) studied this question.

synapsesocial.com/papers/6a095af37880e6d24efe0b96https://doi.org/10.2807/1560-7917.es.2026.31.19.2500736
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