ArticleBMC medical informatics and decision making2012
Identification of methicillin-resistant Staphylococcus aureus within the nation's Veterans Affairs medical centers using natural language processing.
Article in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Extracting information from the text of electronic medical records to improve case detection: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016Pooled it
- The Infectious Diseases Orchestrator: Embracing AI Literacy in the Agentic Era.Open forum infectious diseases · 2026Article
- Validation of an Algorithm to Classify Urine Cultures in Family Medicine.Applied clinical informatics · 2025Article
- Effect of a real-time automatic nosocomial infection surveillance system on hospital-acquired infection prevention and control.BMC infectious diseases · 2022Article
- Development and validation ofJAMIA open · 2022Article
- Mortality, Length of Stay, and Healthcare Costs Associated With Multidrug-Resistant Bacterial Infections Among Elderly Hospitalized Patients in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Article
- Natural language processing for the assessment of cardiovascular disease comorbidities: The cardio-Canary comorbidity project.Clinical cardiology · 2021Article
- National Estimates of Healthcare Costs Associated With Multidrug-Resistant Bacterial Infections Among Hospitalized Patients in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Vital Signs: Trends in Staphylococcus aureus Infections in Veterans Affairs Medical Centers - United States, 2005-2017.MMWR. Morbidity and mortality weekly report · 2019Article
- The Impact of Healthcare-Associated Methicillin-Resistant Staphylococcus aureus Infections on Postdischarge Health Care Costs and Utilization across Multiple Health Care Systems.Health services research · 2018Article
- Attributable Cost and Length of Stay Associated with Nosocomial Gram-Negative Bacterial Cultures.Antimicrobial agents and chemotherapy · 2018Article
- Association of Evidence-Based Care Processes With Mortality in Staphylococcus aureus Bacteremia at Veterans Health Administration Hospitals, 2003-2014.JAMA internal medicine · 2017Observational
- Attributable Mortality of Healthcare-Associated Infections Due to Multidrug-Resistant Gram-Negative Bacteria and Methicillin-Resistant Staphylococcus Aureus.Infection control and hospital epidemiology · 2017Article
- Description and validation of a spectrum score method to measure antimicrobial de-escalation in healthcare associated pneumonia from electronic medical records data.BMC infectious diseases · 2015Article
- Structuring Free-text Microbiology Culture Reports For Secondary Use.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
- Does universal active MRSA surveillance influence anti-MRSA antibiotic use? A retrospective analysis of the treatment of patients admitted with suspicion of infection at Veterans Affairs Medical Centers between 2005 and 2010.The Journal of antimicrobial chemotherapy · 2014Article
- Automated identification of patients with a diagnosis of binge eating disorder from narrative electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2014Article
- Decolonization with Mupirocin and Subsequent Risk of Methicillin-Resistant Staphylococcus aureus Carriage in Veterans Affairs Hospitals.Infectious diseases and therapy · 2012Article
- Drugs of last resort? The use of polymyxins and tigecycline at US Veterans Affairs medical centers, 2005-2010.PloS one · 2012Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundAccurate information is needed to direct healthcare systems' efforts to control methicillin-resistant Staphylococcus aureus (MRSA). Assembling complete and correct microbiology data is vital to understanding and addressing the multiple drug-resistant organisms in our hospitals.
methodsHerein, we describe a system that securely gathers microbiology data from the Department of Veterans Affairs (VA) network of databases. Using natural language processing methods, we applied an information extraction process to extract organisms and susceptibilities from the free-text data. We then validated the extraction against independently derived electronic data and expert annotation.
resultsWe estimate that the collected microbiology data are 98.5% complete and that methicillin-resistant Staphylococcus aureus was extracted accurately 99.7% of the time.
conclusionsApplying natural language processing methods to microbiology records appears to be a promising way to extract accurate and useful nosocomial pathogen surveillance data. Both scientific inquiry and the data's reliability will be dependent on the surveillance system's capability to compare from multiple sources and circumvent systematic error. The dataset constructed and methods used for this investigation could contribute to a comprehensive infectious disease surveillance system or other pressing needs.
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