Evidence map›Paper›PMID 38565189›Full record

Trial reportApplied clinical informatics2024

User-Centered Design and Implementation of an Interoperable FHIR Application for Pediatric Pneumonia Prognostication in a Randomized Trial.

Robert W Turer, Stephen C Gradwohl, Justine Stassun, Jakobi Johnson, Jason M Slagle, Carrie Reale, Russ Beebe, Hui Nian, Yuwei Zhu, Daniel Albert and 16 more

Abstract readRandomized Controlled TrialPragmatic Clinical Trial
In one paragraph

Trial report in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

26 authors.

Robert W TurerDepartment of Emergency Medicine and Clinical Informatics Center, UT Southwestern Medical Center, Dallas, Texas, United States.
Stephen C GradwohlDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Justine StassunDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Jakobi JohnsonDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Jason M SlagleDepartment of Anesthesiology and Institute of Medicine and Public Health, Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Carrie RealeDepartment of Anesthesiology and Institute of Medicine and Public Health, Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Russ BeebeDepartment of Anesthesiology and Institute of Medicine and Public Health, Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Hui NianDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Yuwei ZhuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Daniel AlbertHealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Timothy CoffmanHealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Hala AlawHealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Tom WilsonHealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Shari JustHealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Perry PeguillanHealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Heather FreemanHealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Donald H ArnoldDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Judith M MartinDepartment of Pediatrics, University of Pittsburgh and UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States.
Srinivasan SureshDepartment of Pediatrics, University of Pittsburgh and UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States.
Scott CoglioEnterprise Development Services, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States.
Ryan HixonEnterprise Development Services, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States.
Krow AmpofoDepartment of Pediatrics, University of Utah Health, Salt Lake City, Utah, United States.
Andrew T PaviaDepartment of Pediatrics, University of Utah Health, Salt Lake City, Utah, United States.
Matthew B WeingerDepartment of Anesthesiology and Institute of Medicine and Public Health, Center for Research and Innovation in Systems Safety, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Derek J WilliamsDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Asli O WeitkampDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Funding

Risk Stratification and Decision Support to Improve Care and Outcomes in Children with PneumoniaR01AI125642 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WILLIAMS, DEREK J. · 2017 to 2021
$3.3M
National Institute of Allergy and Infectious Diseases R01AI125642NIAID NIH HHS R01 AI125642
6 · The paper itself

Abstract

objectivesTo support a pragmatic, electronic health record (EHR)-based randomized controlled trial, we applied user-centered design (UCD) principles, evidence-based risk communication strategies, and interoperable software architecture to design, test, and deploy a prognostic tool for children in emergency departments (EDs) with pneumonia.

methodsRisk for severe in-hospital outcomes was estimated using a validated ordinal logistic regression model to classify pneumonia severity. To render the results usable for ED clinicians, we created an integrated SMART on Fast Healthcare Interoperability Resources (FHIR) web application built for interoperable use in two pediatric EDs using different EHR vendors: Epic and Cerner. We followed a UCD framework, including problem analysis and user research, conceptual design and early prototyping, user interface development, formative evaluation, and postdeployment summative evaluation.

resultsProblem analysis and user research from 39 clinicians and nurses revealed user preferences for risk aversion, accessibility, and timing of risk communication. Early prototyping and iterative design incorporated evidence-based design principles, including numeracy, risk framing, and best-practice visualization techniques. After rigorous unit and end-to-end testing, the application was successfully deployed in both EDs, which facilitated enrollment, randomization, model visualization, data capture, and reporting for trial purposes.

conclusionThe successful implementation of a custom application for pneumonia prognosis and clinical trial support in two health systems on different EHRs demonstrates the importance of UCD, adherence to modern clinical data standards, and rigorous testing. Key lessons included the need for understanding users' real-world needs, regular knowledge management, application maintenance, and the recognition that FHIR applications require careful configuration for interoperability.

Indexed as

Electronic Health RecordsPneumoniaChildHealth Information InteroperabilityHumansPrognosisSoftwareUser-Computer Interface

Identifiers

PMID38565189
PMCPMC11254472

What OpenQuestion holds

Textmetadata
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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.