ArticleCritical care explorations2023
Epic Sepsis Model Inpatient Predictive Analytic Tool: A Validation Study.
Article in Critical care explorations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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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
23 citing papers in PubMed, 33 citations in OpenAlex.
- Earlier ICU Transfer after CONCERN Early Warning System Score Escalation Reduced Sepsis-related Mortality: Results from a Multi-site Pragmatic Cluster Randomized Controlled Trial.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Trial
- From patient notes to prognostication: The revolutionary potential of event-based foundation models in orthopaedics.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Temporal and cross-site validation of an AI system for self-harm detection.PLOS digital health · 2026Article
- Process Improvement Before Artificial Intelligence and Automation: Building Trust With the Understand-Transform-Sustain Framework.Mayo Clinic proceedings. Innovations, quality & outcomes · 2026Article
- Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions.Health care management science · 2026Article
- Patient Versus Prediction-Level Evaluation of a Dynamic Clinical Prediction Model of Sepsis.Research square · 2026Article
- Pregnancy-Related Mortality Due to Infection: Maternal Mortality Review Committees in 29 U.S. States, 2017-2019.Obstetrics and gynecology · 2026Article
- Patient Versus Prediction-Level Evaluation of a Dynamic Clinical Prediction Model of Sepsis.medRxiv : the preprint server for health sciences · 2026Article
- Performance of a Sepsis Prediction Model Across Different Sepsis Definitions.JAMA network open · 2026Article
- Evaluation framework for assessing the quality and safety of artificial intelligence solutions for the acute care surgeon: a narrative review from the Eastern Association for the Surgery of Trauma quality, safety, and outcomes committee.Trauma surgery & acute care open · 2026Review
- Roles and responsibilities of registered nurses in the early recognition and management of sepsis in acute hospital settings: a scoping review.BMJ open quality · 2025Article
- Reduction of resources with mRNA host-response whole blood testing on patients presenting to the emergency department with suspected infections: a retrospective analysis of 30 cases.Journal of medical microbiology · 2025Article
- Artificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives.European journal of medical research · 2025Review
- Development and internal validation of an AI-based emergency triage model for predicting critical outcomes in emergency department.Scientific reports · 2025Article
- The Seasonal Incidence of Slipped Capital Femoral Epiphysis: A Systematic Review and Meta-Analysis.Children (Basel, Switzerland) · 2025Review
- Digital innovation in healthcare: quantifying the impact of digital sepsis screening tools on patient outcomes-a multi-site natural experiment.BMJ health & care informatics · 2025Article
- Artificial Intelligence in Sepsis Management: An Overview for Clinicians.Journal of clinical medicine · 2025Review
- The sepsis journey and where digital alerts can help: a qualitative, interview study with survivors and family members in England.Frontiers in public health · 2025Observational
- Article
- Views and Uses of Sepsis Digital Alerts in National Health Service Trusts in England: Qualitative Study With Health Care Professionals.JMIR human factors · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Earlier treatment of sepsis leads to decreased mortality. Epic is an electronic medical record providing a predictive alert system for sepsis, the Epic Sepsis Model (ESM) Inpatient Predictive Analytic Tool. External validation of this system is lacking. This study aims to evaluate the ESM as a sepsis screening tool and determine whether an association exists between ESM alert system implementation and subsequent sepsis-related mortality.
designBefore-and-after study comparing baseline and intervention period.
settingUrban 746-bed academic level 1 trauma center. PATIENTS: Adult acute care inpatients discharged between January 12, 2018, and July 31, 2019.
interventionsDuring the before period, ESM was turned on in the background, but nurses and providers were not alerted of results. The system was then activated to alert providers of scores greater than or equal to 5, a set point determined using receiver operating characteristic curve analysis (area under the curve, 0.834; MEASUREMENTS AND MAIN
resultsPrimary outcome was mortality during hospitalization; secondary outcomes were sepsis order set utilization, length of stay, and timing of administration of sepsis-appropriate antibiotics. Of the 11,512 inpatient encounters assessed by ESM, 10.2% (1,171) had sepsis based on diagnosis codes. As a screening test, the ESM had sensitivity, specificity, positive predictive value, and negative predictive value rates of 86.0%, 80.8%, 33.8%, and 98.11%, respectively. After ESM implementation, unadjusted mortality rates in patients with ESM score greater than or equal to 5 and who had not yet received sepsis-appropriate antibiotics declined from 24.3% to 15.9%; multivariable analysis yielded an odds ratio of sepsis-related mortality (95% CI) of 0.56 (0.39-0.80).
conclusionsIn this single-center before-and-after study, utilization of the ESM score as a screening test was associated with a 44% reduction in the odds of sepsis-related mortality. Due to wide utilization of Epic, this is a potentially promising tool to improve sepsis mortality in the United States. This study is hypothesis generating, and further work with more rigorous study design is needed.
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