ReviewClinics in chest medicine2016
Development and Implementation of Sepsis Alert Systems.
Review in Clinics in chest medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
- Trial
- Cardiogenic Shock Detection Using Electronic Medical Records: A Review and Blueprint for Clinical Implementation and Future Research.Journal of the American Heart Association · 2026Review
- Rethinking sepsis prediction in the era of large language models.npj health systems · 2026Article
- Observational
- Qualitative Study of the Context of Health Information Technology in Sepsis Care Transitions: Facilitators, Barriers, and Strategies for Improvement.Journal of the American Medical Directors Association · 2025Article
- A nursing-led sepsis response team guiding resuscitation with point-of-care ultrasound: A review and model for improving bundle compliance while individualizing sepsis care.SAGE open medicine · 2024Review
- Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data.Scientific reports · 2023Article
- Predicting respiratory decompensation in mechanically ventilated adult ICU patients.Frontiers in physiology · 2023Article
- Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system.NPJ digital medicine · 2022Article
- Impact of an electronic alert system for pediatric sepsis screening a tertiary hospital experience.Scientific reports · 2022Article
- Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review.Journal of medical Internet research · 2022Article
- Article
- Why and How to Approach User Experience in Safety-Critical Domains: The Example of Health Care.Human factors · 2021Article
- Successful cure of a patient with urosepsis using a combination of extracorporeal membrane oxygenation and continuous renal replacement therapy: A case report and literature review.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2020Review
- Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study.Journal of medical Internet research · 2020Article
- Cytokine removal in human septic shock: Where are we and where are we going?Annals of intensive care · 2019Review
- Future of the ICU: finding treatable needles in the data haystack.Intensive care medicine · 2019Article
- Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis.Critical care nurse · 2018Article
- Pediatric Vital Sign Distribution Derived From a Multi-Centered Emergency Department Database.Frontiers in pediatrics · 2018Article
- A sirs-based automated alarm system for the diagnosis of sepsis after burn injury.Annals of burns and fire disasters · 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
4 authors.
Funding
Abstract
Development and implementation of sepsis alert systems is challenging, particularly outside the monitored intensive care unit (ICU) setting. Barriers to wider use of sepsis alerts include evolving clinical definitions of sepsis, information overload, and alert fatigue, due to suboptimal alert performance. Outside the ICU, barriers include differences in health care delivery models, charting behaviors, and availability of electronic data. Current evidence does not support routine use of sepsis alert systems in clinical practice. Continuous improvement in the afferent and efferent aspects will help translate theoretic advantages into measurable patient benefit.
Indexed as
Identifiers
What OpenQuestion holds
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.