Scientific article
Open access

Information technology aspects of large-scale implementation of automated surveillance of healthcare-associated infections

Published inClinical microbiology and infection, vol. 27, no. Suppl 1, p. S29-S39
Publication date2021-07
First online date2021-06-30

Introduction: Healthcare-associated infections (HAI) are a major public health concern. Monitoring of HAI rates, with feedback, is a core component of infection prevention and control programmes. Digitalization of healthcare data has created novel opportunities for automating the HAI surveillance process to varying degrees. However, methods are not standardized and vary widely between different healthcare facilities. Most current automated surveillance (AS) systems have been confined to local settings, and practical guidance on how to implement large-scale AS is needed.

Methods: This document was written by a task force formed in March 2019 within the PRAISE network (Providing a Roadmap for Automated Infection Surveillance in Europe), gathering experts in HAI surveillance from ten European countries.

Results: The document provides an overview of the key e-health aspects of implementing an AS system of HAI in a clinical environment to support both the infection prevention and control team and information technology (IT) departments. The focus is on understanding the basic principles of storage and structure of healthcare data, as well as the general organization of IT infrastructure in surveillance networks and participating healthcare facilities. The fundamentals of data standardization, interoperability and algorithms in relation to HAI surveillance are covered. Finally, technical aspects and practical examples of accessing, storing and sharing healthcare data within a HAI surveillance network, as well as maintenance and quality control of such a system, are discussed.

Conclusions: With the guidance given in this document, along with the PRAISE roadmap and governance documents, readers will find comprehensive support to implement large-scale AS in a surveillance network.

  • Automated
  • Bloodstream infection
  • Data
  • Digital infection control
  • Electronic HAI surveillance
  • Electronic health record
  • Healthcare-associated infection
  • Quality
  • Surgical site infection
  • Surveillance
  • Automation
  • Cross Infection / epidemiology
  • Europe / epidemiology
  • Humans
  • Infection Control / instrumentation
  • Infection Control / methods
  • Information Technology / standards
Citation (ISO format)
BEHNKE, Michael et al. Information technology aspects of large-scale implementation of automated surveillance of healthcare-associated infections. In: Clinical microbiology and infection, 2021, vol. 27, n° Suppl 1, p. S29–S39. doi: 10.1016/j.cmi.2021.02.027
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Article (Published version)
ISSN of the journal1198-743X

Technical informations

Creation09/07/2022 12:39:44 PM
First validation05/12/2023 2:47:39 PM
Update time05/12/2023 2:47:39 PM
Status update05/12/2023 2:47:39 PM
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