Evidence map›Paper›PMID 40935359›Full record

ArticleApplied clinical informatics2025

Clinical Decision Support Aiming to Accelerate Triage and Time to Dextrose-Containing IV Fluids in the ED for Children with Severe Metabolic Conditions.

Swaminathan Kandaswamy, Shabnam Jain, Dwight Diaz Chambers, William R Wilcox, Beesan S Agha, Hailey Dennis, Sara P Brown, Evan W Orenstein

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. 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.

Swaminathan KandaswamyDepartment of Pediatrics, Emory University, Atlanta, Georgia, United States.
Shabnam JainDepartment of Pediatrics, Emory University, Atlanta, Georgia, United States.
Dwight Diaz ChambersDivision of Endocrinology, Boston Children's Hospital, Boston, Massachusetts, United States.
William R WilcoxDivision of Emergency Medicine, Children's Healthcare of Atlanta, Atlanta, Georgia, United States.
Beesan S AghaDivision of Emergency Medicine Children's Healthcare of Atlanta, Atlanta, Georgia, United States.
Hailey DennisDepartment of Human Genetics and Pediatrics, Emory University School of Medicine, Atlanta, Georgia, United States.
Sara P BrownDivision of Information Systems and Technology, Children's Healthcare of Atlanta, Atlanta, Georgia, United States.
Evan W OrensteinDepartment of Pediatrics, Emory University, Atlanta, Georgia, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to describe human-centered design of clinical decision support (CDS) for children with metabolic diseases at high risk of rapid decompensation, assess the influence of CDS on care processes and patient outcomes, and share insights from the implementation.A CDS was designed in collaboration with pediatric genetics experts to provide accelerated triage and recommend dextrose-containing fluids for patients metabolic conditions. Formative usability testing was conducted with emergency department (ED) nurses and providers. Pre- and post-intervention data on triage, alert acceptance, and order set usage, as well as clinical outcomes such as time to dextrose fluids, intensive care unit (ICU) admission rates, and length of stay, were compared.Provider alert acceptance was at 39%. Following CDS implementation, nurse triage at Emergency Severity Index (ESI) <3 (ESI 1 or ESI 2 to escalate patients with metabolic conditions to a higher severity) increased from 84 to 98%. Time to dextrose-containing fluids from patient rooming to administration decreased significantly from 101 to 82 minutes (

Indexed as

Decision Support Systems, ClinicalEmergency Service, HospitalGlucoseMetabolic DiseasesTriageChildHumansTime FactorsGlucose

Identifiers

PMID40935359
PMCPMC12425614

What OpenQuestion holds

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Registered trials

None linked

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.