Evidence map›Paper›PMID 41760359›Full record

ArticleApplied clinical informatics2026

User-Centered Redesign of a Clinical Decision Support System for Pneumonia in the Emergency Department.

Matthew A Christensen, Russ Beebe, Anne Chen, Carrie Reale, Janelle Faiman, Jesse O Wrenn, Stephen C Gradwohl, Jason M Slagle, Asli O Weitkamp, Brett A Nance and 7 more

Abstract read
In one paragraph

Article in Applied clinical informatics, 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

17 authors.

Matthew A ChristensenDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah, United States.ORCID 0000-0002-6021-8680
Russ BeebeDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Anne ChenSchool of Medicine, Vanderbilt University, Nashville, Tennessee, United States.
Carrie RealeDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Janelle FaimanDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Jesse O WrennDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Stephen C GradwohlDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Jason M SlagleDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Asli O WeitkampDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Brett A NanceDepartment of Emergency Medicine, Intermountain Health Bear River Valley Hospital, Tremonton, Utah, United States.
Kathryn G KuttlerDepartment of Advanced Decision Support, Informatics, Intermountain Health, Salt Lake City, Utah, United States.
Jason R CarrDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah, United States.
Ithan D PeltanDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah, United States.
Samuel M BrownDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah, United States.
Nathan C DeanDepartment of Pulmonary and Critical Care Medicine, Intermountain Medical Center, Murray, Utah, United States.
Shilo AndersDepartment of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas, United States.
Michael J WardDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Funding

Measuring and Learning from Care Variation in SepsisR35GM151147 · NIGMS · IHC HEALTH SERVICES, INC. · PI Ithan Daniel Peltan · 2023 to 2026
$1.5M
Vanderbilt Interdisciplinary Hospital-Based Systems of Care Research and Training ProgrAm (VISTA)T32HL170986 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SUNIL KRIPALANI, ALAN B STORROW · 2024 to 2026
$1.3M
Interdisciplinary Training in Injury and Critical IllnessT32GM135094 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PATEL, MAYUR B · 2021 to 2025
$967k
AHRQ HHS R18 HS028955NHLBI NIH HHS T32 HL170986NIGMS NIH HHS R35 GM151147NIGMS NIH HHS T32 GM135094
6 · The paper itself

Abstract

Deviation from evidence-based guidelines is common and associated with worse patient outcomes, especially in hectic emergency departments (EDs). Clinical decision support (CDS) systems can improve outcomes by promoting guideline adherence while allowing patient-specific adaptation. Implementation of a CDS system for pneumonia ("ePneumonia") in the ED has been associated with improved guideline adherence and reduced 30-day mortality. However, adoption of ePneumonia has been hindered by a suboptimal user interface (UI).This study aimed to redesign the ePneumonia UI to improve usability and adoption.We conducted a user-centered design study involving ED clinicians at Vanderbilt University Medical Center. Across two rounds of one-on-one usability interviews with ED clinicians held via videoconference we (1) identified user requirements, and (2) iteratively refined a UI prototype. During each usability interview we presented realistic pneumonia cases, observed the clinician interact with a prototype, and elicited feedback with a semi-structured interview guide. We applied rapid thematic analysis and iteratively updated ePneumonia UI prototypes between interviews.Among 21 invited ED clinicians, 19 (90%) participated, including 15 attendings, 3 residents, and 1 advanced practice provider; 6 (32%) participants were women. Initial findings revealed that the original step-by-step UI did not align with the dynamic ED workflow. Clinicians expressed a need for both flexibility (e.g., skipping sections, overriding recommendations) and constraints (e.g., alerts for guideline deviations). We identified UI features to meet these needs that resulted in greater subjective usability including: a three-step navigation scheme, tiered information display, and multimodal indicators (text, icon, color) of agreement between clinician choices and CDS recommendations.A user-centered design approach identified UI features that were associated with greater perceived usability of a CDS for pneumonia in the ED. Future work will evaluate real-world usability and adoption in a clinical trial.

Indexed as

Decision Support Systems, ClinicalEmergency Service, HospitalPneumoniaUser-Centered DesignUser-Computer InterfaceFemaleHumans

Identifiers

PMID41760359
PMCPMC12948636

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.