ArticleAnnals of the American Thoracic Society2016
The Nature and Variability of Automated Practice Alerts Derived from Electronic Health Records in a U.S. Nationwide Critical Care Research Network.
Article in Annals of the American Thoracic Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed.
- Multicenter Prospective Validation of an Updated Proprietary Sepsis Prediction Model.JAMA network open · 2026Article
- Rethinking sepsis prediction in the era of large language models.npj health systems · 2026Article
- External validation of a widely available, localizable sepsis early detection model in the emergency department setting.The American journal of emergency medicine · 2025Article
- Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22.Critical care (London, England) · 2025Review
- External validation of the Epic sepsis predictive model in 2 county emergency departments.JAMIA open · 2024Article
- Rationale and design of a randomized controlled clinical trial; Titration of Oxygen Levels (TOOL) during mechanical ventilation.Contemporary clinical trials · 2022Article
- Use of Electronic Health Record Access and Audit Logs to Identify Physician Actions Following Noninterruptive Alert Opening: Descriptive Study.JMIR medical informatics · 2019Article
- Information Technology and Acute Kidney Injury: Alerts, Alarms, Bells, and Whistles.Advances in chronic kidney disease · 2017Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
rationaleThe nature, variability, and extent of early warning clinical practice alerts derived from automated query of electronic health records (e-alerts) currently used in acute care settings for clinical care or research is unknown.
objectivesTo describe e-alerts in current use in acute care settings at medical centers participating in a nationwide critical care research network.
methodsWe surveyed investigators at 38 institutions involved in the National Institutes of Health-funded Clinical Trials Network for the Prevention and Early Treatment of Acute Lung Injury (PETAL) for quantitative and qualitative analysis. MEASUREMENTS AND MAIN
resultsThirty sites completed the survey (79% response rate). All sites used electronic health record systems. Epic Systems was used at 56% of sites; the others used alternate commercially available vendors or homegrown systems. Respondents at 57% of sites represented in this survey used e-alerts. All but 1 of these 17 sites used an e-alert for early detection of sepsis-related syndromes, and 35% used an e-alert for pneumonia. E-alerts were triggered by abnormal laboratory values (37%), vital signs (37%), or radiology reports (15%) and were used about equally for clinical decision support and research. Only 59% of sites with e-alerts have evaluated them either for accuracy or for validity.
conclusionsA majority of the research network sites participating in this survey use e-alerts for early notification of potential threats to hospitalized patients; however, there was significant variability in the nature of e-alerts between institutions. Use of one common electronic health record vendor at more than half of the participating sites suggests that it may be possible to standardize e-alerts across multiple sites in research networks, particularly among sites using the same medical record platform.
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