ReviewJournal of medical Internet research2021
Predicting Patient Deterioration: A Review of Tools in the Digital Hospital Setting.
Review in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 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
31 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Does the use of National Early Warning Scores (NEWS or NEWS2) in healthcare settings improve patient outcomes: a systematic review.Systematic reviews · 2026Pooled it
- Psychological eHealth Interventions for Patients With Cardiovascular Diseases: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain.Journal of the American Medical Informatics Association : JAMIA · 2024Pooled it
- AI-enabled electrocardiography alert intervention and all-cause mortality: a pragmatic randomized clinical trial.Nature medicine · 2024Trial
- Influence of the CONCERN Early Warning System on Unanticipated ICU Transfers, In-Hospital Mortality, and Length of Stay: Results from a Multi-site Pragmatic Randomized Controlled Clinical Trial.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Trial
- Mortality risk ranking after medical emergency team review: External validation and redevelopment of predictive models.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026Article
- Article
- Article
- Observational
- Care Pathway and Outcomes in Pediatric Septic Shock: A Narrative Review from Emergency Department Recognition to PICU Management.Children (Basel, Switzerland) · 2026Review
- Evaluating Clinical Implementation of Risk Prediction Based Interventions Using Difference-In-Differences.Health services research · 2026Article
- Multi-Evidence Clinical Reasoning With Retrieval-Augmented Generation for Emergency Triage: Retrospective Evaluation Study.JMIR medical informatics · 2026Article
- Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models.JMIR AI · 2026Article
- Vital Signs-Only Machine Learning Model for Acute Inpatient Deterioration: A Retrospective Multicenter Study.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025Article
- Cancer Clinical Trial Patients' Perceptions of Reporting Adverse Events Via an Electronic Platform.Therapeutic innovation & regulatory science · 2025Article
- Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning.BMC medical informatics and decision making · 2025Article
- Empirically derived evaluation requirements for responsible deployments of AI in safety-critical settings.NPJ digital medicine · 2025Article
- Indicators of clinical deterioration in adult general ward patients from nurses' perspectives: a mixed-methods systematic review.BMC nursing · 2024Article
- Exploring the Utility of the Modified Hospitalized-Patient One-Year Mortality Risk Score to Trigger Referrals to Palliative Care for Inpatients With Cancer.Cancer medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEarly warning tools identify patients at risk of deterioration in hospitals. Electronic medical records in hospitals offer real-time data and the opportunity to automate early warning tools and provide real-time, dynamic risk estimates.
objectiveThis review describes published studies on the development, validation, and implementation of tools for predicting patient deterioration in general wards in hospitals.
methodsAn electronic database search of peer reviewed journal papers from 2008-2020 identified studies reporting the use of tools and algorithms for predicting patient deterioration, defined by unplanned transfer to the intensive care unit, cardiac arrest, or death. Studies conducted solely in intensive care units, emergency departments, or single diagnosis patient groups were excluded.
resultsA total of 46 publications were eligible for inclusion. These publications were heterogeneous in design, setting, and outcome measures. Most studies were retrospective studies using cohort data to develop, validate, or statistically evaluate prediction tools. The tools consisted of early warning, screening, or scoring systems based on physiologic data, as well as more complex algorithms developed to better represent real-time data, deal with complexities of longitudinal data, and warn of deterioration risk earlier. Only a few studies detailed the results of the implementation of deterioration warning tools.
conclusionsDespite relative progress in the development of algorithms to predict patient deterioration, the literature has not shown that the deployment or implementation of such algorithms is reproducibly associated with improvements in patient outcomes. Further work is needed to realize the potential of automated predictions and update dynamic risk estimates as part of an operational early warning system for inpatient deterioration.
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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.