SynthesisEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2020
Electronically assisted surveillance systems of healthcare-associated infections: a systematic review.
Synthesis in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Artificial intelligence for infection surveillance, risk stratification, and antimicrobial decision support in acute-care hospitals: a scoping review.Frontiers in artificial intelligence · 2026Pooled it
- Automated surveillance of non-ventilator-associated hospital-acquired pneumonia (nvHAP): a systematic literature review.Antimicrobial resistance and infection control · 2024Pooled it
- Predictive performance of automated surveillance algorithms for intravascular catheter bloodstream infections: a systematic review and meta-analysis.Antimicrobial resistance and infection control · 2023Pooled it
- Semi-Automated Retrospective Surveillance of Surgical Site Infections (sAReS-SSI) - using hospital routine data for SSI tracking.Antimicrobial resistance and infection control · 2026Article
- First results of a national deployment of a fully automated central-line-associated bloodstream infection (CLABSI) surveillance system, Switzerland, 2022 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- Current state and potential of hospitals for automated healthcare-associated infection surveillance: data from 24 European countries, 2022 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026Article
- Advancing hospital-onset bacteraemia surveillance: a five-year retrospective study following the hospital-wide implementation of an automated surveillance system at a German university hospital.Antimicrobial resistance and infection control · 2026Article
- Toward a human-centered digital ecosystem: bridging the "AI Chasm" in intelligent nosocomial infection monitoring.Frontiers in public health · 2026Article
- Human-centered digital ecosystem: safeguarding healthcare workers' sleep, ergonomics, and occupational health.Frontiers in public health · 2026Article
- Semi-automated surveillance of surgical site infections using machine learning and rule-based classification models.NPJ digital medicine · 2025Article
- Feasibility of semiautomated surveillance of healthcare-associatedBMJ health & care informatics · 2025Article
- The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.Journal of internal medicine · 2025Review
- Hospital-onset bacteraemia and fungaemia as a novel automated surveillance indicator: results from four European university hospitals, 2018 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Observational
- Automated surveillance of hospital-onset bacteremia and fungemia: feasibility and epidemiological results from a Dutch multicenter study.Infection control and hospital epidemiology · 2025Article
- Automated surveillance for surgical site infections (SSI) in hospitals and surveillance networks-expert perspectives for implementation.Antimicrobial resistance and infection control · 2024Article
- Automated Identification of Postoperative Infections to Allow Prediction and Surveillance Based on Electronic Health Record Data: Scoping Review.JMIR medical informatics · 2024Article
- A qualitative, multi-centre approach to the current state of digitalisation and automation of surveillance in infection prevention and control in German hospitals.Antimicrobial resistance and infection control · 2024Article
- The accuracy of fully-automated algorithms for the surveillance of central venous catheter-related bloodstream infection in hospitalised patients.Antimicrobial resistance and infection control · 2024Article
- Innovative Techniques for Infection Control and Surveillance in Hospital Settings and Long-Term Care Facilities: A Scoping Review.Antibiotics (Basel, Switzerland) · 2024Article
- The epidemiology of multidrug-resistant organisms in persons diagnosed with cancer in Norway, 2008-2018: expanding surveillance using existing laboratory and register data.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BackgroundSurveillance of healthcare-associated infections (HAI) is the basis of each infection control programme and, in case of acute care hospitals, should ideally include all hospital wards, medical specialties as well as all types of HAI. Traditional surveillance is labour intensive and electronically assisted surveillance systems (EASS) hold the promise to increase efficiency.ObjectivesTo give insight in the performance characteristics of different approaches to EASS and the quality of the studies designed to evaluate them.MethodsIn this systematic review, online databases were searched and studies that compared an EASS with a traditional surveillance method were included. Two different indicators were extracted from each study, one regarding the quality of design (including reporting efficiency) and one based on the performance (e.g. specificity and sensitivity) of the EASS presented.ResultsA total of 78 studies were included. The majority of EASS (n = 72) consisted of an algorithm-based selection step followed by confirmatory assessment. The algorithms used different sets of variables. Only a minority (n = 7) of EASS were hospital-wide and designed to detect all types of HAI. Sensitivity of EASS was generally high (> 0.8), but specificity varied (0.37-1). Less than 20% (n = 14) of the studies presented data on the efficiency gains achieved.ConclusionsElectronically assisted surveillance of HAI has yet to reach a mature stage and to be used routinely in healthcare settings. We recommend that future studies on the development and implementation of EASS of HAI focus on thorough validation, reproducibility, standardised datasets and detailed information on efficiency.
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