ArticleApplied clinical informatics2025
Evaluating Equity in Usage and Effectiveness of the CONCERN Early Warning System.
Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis 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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The CONCERN Early Warning System (CONCERN EWS) is an artificial intelligence-based clinical decision support system (AI-CDSS) for the prediction of clinical deterioration, leveraging signals from nursing documentation patterns. While a recent multisite randomized controlled trial (RCT) demonstrated its effectiveness in reducing inpatient mortality and length of stay, evaluating implementation outcomes is essential to ensure equitable results across patient populations.This study aims to (1) assess whether clinicians' usage of the CONCERN EWS, as measured by CONCERN Detailed Prediction Screen launches, varied by patient demographic characteristics, including sex, race, ethnicity, and primary language; (2) evaluate whether CONCERN EWS's effectiveness in reducing the risk of in-hospital mortality varied across patient demographic groups.We conducted a retrospective observational analysis of electronic health record log files and clinical outcomes from a multisite, pragmatic, cluster-RCT involving four hospitals across two health care systems. Equity in usage was assessed by comparing CONCERN Detailed Prediction Screen launches across demographic groups, and effectiveness was examined by comparing the risk of in-hospital mortality between intervention and usual care groups using Cox proportional hazards models adjusted for patient characteristics.Clinicians' CONCERN Detailed Prediction Screen launches did not significantly differ by patients' demographic characteristics, suggesting equitable usage. The CONCERN EWS was significantly associated with reduced risk of in-hospital mortality overall (adjusted hazard ratio [HR] = 0.644, 95% CI: 0.532-0.778,
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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 Socratic graph.