Evidence map›Paper›PMID 41728278›Full record

ArticlemedRxiv : the preprint server for health sciences2026

The Benefit of the Doubt Phenomenon in Emergency Triage Assignment Disparities.

Blanca Romero Milà, Helena Coggan, Andrew M Fine, Yuval Barak-Corren, Ben Y Reis, Jaya Aysola, Pradip P Chaudhari, William G La Cava

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Blanca Romero MilàComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
Helena CogganComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
Andrew M FineHarvard Medical School, Boston, MA, USA.
Yuval Barak-CorrenComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
Ben Y ReisComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0001-9908-5523
Jaya AysolaLeonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8474-3682
Pradip P ChaudhariDivision of Emergency and Transport Medicine, Children's Hospital Los Angeles and Department of Pediatrics, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
William G La CavaComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0002-1332-2960

Funding

Real-time Monitoring and Correction of Clinical Decision Support Systems using Artificial IntelligenceR01LM014300 · NLM · BOSTON CHILDREN'S HOSPITAL · PI William La Cava · 2024 to 2026
$2.1M
NLM NIH HHS R01 LM014300
6 · The paper itself

Abstract

Emergency department (ED) triage decisions critically impact patient care and are standardized, yet ethnoracial disparities in triage assignment are well documented. We analyzed ethnoracial differences in triage assignments across four U.S. EDs (two adult, two pediatric), comprising 1.4 million encounters from 2011-2025. To better characterize these disparities, we developed an automated triage algorithm that replicates the Emergency Severity Index (ESI) criteria, the standard triage protocol used at each site. The algorithm identifies high-acuity symptoms and danger-zone vital signs that inform triage decisions at the level-2 (emergent) versus level-3 (urgent) boundary. We compared nurse triage assignments across ethnoracial groups, stratified by algorithmic ESI scores, using causal inference methods to adjust for clinical presentation and hospital context. Significant ethnoracial disparities in triage assignment were observed across all sites. Disparities were concentrated among patients algorithmically classified as lower risk but assigned higher acuity by nurses. This pattern is consistent with a "benefit-of-the-doubt" disparity, in which relatively stable, non-Hispanic White patients are more often assigned higher priority than Hispanic and non-Hispanic Black patients with comparable presentations. By contrast, disparities were attenuated or absent among patients deemed high risk by both nurses and the algorithm. Finally, analysis of the projected length-of-stay impact of substituting nurse-assigned with algorithmic triage scores suggests that algorithmic ESI decision support could reduce triage disparities with minimal effects on patient flow.

Indexed as

demographicsemergencyfairnesstriage

Identifiers

PMID41728278
PMCPMC12919109

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.