SynthesisJournal of the American Medical Informatics Association : JAMIA
Data use and effectiveness in electronic surveillance of healthcare associated infections in the 21st century: a systematic review.
Synthesis in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
21 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2022Pooled it
- Electronically assisted surveillance systems of healthcare-associated infections: a systematic review.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020Pooled it
- Data elements and validation methods used for electronic surveillance of health care-associated infections: a systematic review.American journal of infection control · 2015Pooled it
- Disinfectant-induced bacterial resistance and antibiotic cross-resistance-mechanisms and clinical relevance.Clinical and experimental medicine · 2025Review
- The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.Journal of internal medicine · 2025Review
- Comparing automated surveillance systems for detection of pathogen-related clusters in healthcare settings.Antimicrobial resistance and infection control · 2024Article
- The augmented value of using clinical notes in semi-automated surveillance of deep surgical site infections after colorectal surgery.Antimicrobial resistance and infection control · 2023Observational
- Surgical site infection surveillance in German hospitals: a national survey to determine the status quo of digitalization.Antimicrobial resistance and infection control · 2023Article
- Observational
- Article
- The Secondary Use of Data to Support Medication Safety in the Hospital Setting: A Systematic Review and Narrative Synthesis.Pharmacy (Basel, Switzerland) · 2021Review
- Development and Evaluation of a Fully Automated Surveillance System for Influenza-Associated Hospitalization at a Multihospital Health System in Northeast Ohio.Applied clinical informatics · 2020Article
- Healthcare Associated Infections: An Interoperable Infrastructure for Multidrug Resistant Organism Surveillance.International journal of environmental research and public health · 2020Article
- Strategies to Prevent Healthcare-Associated Infections: A Narrative Overview.Risk management and healthcare policy · 2020Review
- Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics.The Journal of bone and joint surgery. American volume · 2019Article
- Evaluation of manual and electronic healthcare-associated infections surveillance: a multi-center study with 21 tertiary general hospitals in China.Annals of translational medicine · 2019Article
- Statistical outbreak detection by joining medical records and pathogen similarity.Journal of biomedical informatics · 2019Article
- Real-Time, Automated Detection of Ventilator-Associated Events: Avoiding Missed Detections, Misclassifications, and False Detections Due to Human Error.Infection control and hospital epidemiology · 2018Article
- Registries supporting new drug applications.Pharmacoepidemiology and drug safety · 2017Article
- Is There Evidence of Cost Benefits of Electronic Medical Records, Standards, or Interoperability in Hospital Information Systems? Overview of Systematic Reviews.JMIR medical informatics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAs more electronic health records have become available during the last decade, we aimed to uncover recent trends in use of electronically available patient data by electronic surveillance systems for healthcare associated infections (HAIs) and identify consequences for system effectiveness.
methodsA systematic review of published literature evaluating electronic HAI surveillance systems was performed. The PubMed service was used to retrieve publications between January 2001 and December 2011. Studies were included in the review if they accurately described what electronic data were used and if system effectiveness was evaluated using sensitivity, specificity, positive predictive value, or negative predictive value. Trends were identified by analyzing changes in the number and types of electronic data sources used.
results26 publications comprising discussions on 27 electronic systems met the eligibility criteria. Trend analysis showed that systems use an increasing number of data sources which are either medico-administrative or clinical and laboratory-based data. Trends on the use of individual types of electronic data confirmed the paramount role of microbiology data in HAI detection, but also showed increased use of biochemistry and pharmacy data, and the limited adoption of clinical data and physician narratives. System effectiveness assessments indicate that the use of heterogeneous data sources results in higher system sensitivity at the expense of specificity.
conclusionsDriven by the increased availability of electronic patient data, electronic HAI surveillance systems use more data, making systems more sensitive yet less specific, but also allow systems to be tailored to the needs of healthcare institutes' surveillance programs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.