Appl Clin Inform
DOI: 10.1055/a-2297-9129
Research Article

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

Robert W Turer
1   Dept. of Emergency Medicine and Clinical Informatics Center, UT Southwestern, Dallas, United States (Ringgold ID: RIN12334)
,
Stephen Gradwohl
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Justine Stassun
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Jakobi Johnson
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Jason Slagle
3   Biomedical Informatics, Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Carrie Reale
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Russ Beebe
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Hui Nian
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Yuwei Zhu
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Dan Albert
4   Vanderbilt University Department of Biomedical Informatics, Nashville, United States (Ringgold ID: RIN200587)
,
Tim Coffman
4   Vanderbilt University Department of Biomedical Informatics, Nashville, United States (Ringgold ID: RIN200587)
,
Hala Alaw
5   HealthIT Product Development, Vanderbilt University Department of Biomedical Informatics, Nashville, United States (Ringgold ID: RIN200587)
,
Tom Wilson
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Shari Just
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Perry Peguillan
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Heather Freeman
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Donald H Arnold
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Judith M Martin
6   Children's Hospital of Pittsburgh of UPMC, Pittsburgh, United States (Ringgold ID: RIN6619)
,
Srinivasan Suresh
7   Pediatrics, University of Pittsburgh, Pittsburgh, United States (Ringgold ID: RIN6614)
,
Scott Coglio
6   Children's Hospital of Pittsburgh of UPMC, Pittsburgh, United States (Ringgold ID: RIN6619)
,
Ryan Hixon
6   Children's Hospital of Pittsburgh of UPMC, Pittsburgh, United States (Ringgold ID: RIN6619)
,
Krow Ampofo
8   University of Utah Health, Salt Lake City, United States (Ringgold ID: RIN14434)
,
Andrew T Pavia
8   University of Utah Health, Salt Lake City, United States (Ringgold ID: RIN14434)
,
Matthew Weinger
4   Vanderbilt University Department of Biomedical Informatics, Nashville, United States (Ringgold ID: RIN200587)
,
Derek Williams
2   Vanderbilt University Medical Center, Nashville, United States (Ringgold ID: RIN12328)
,
Asli Ozdas Weitkamp
9   Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, United States
› Author Affiliations
Supported by: National Institute of Allergy and Infectious Diseases R01AI125642

Clinical Trial: Registration number (trial ID): NCT06033079, Trial registry: ClinicalTrials.gov (http://www.clinicaltrials.gov/), Type of Study: Randomized Controlled Trial

Objective: To 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. Methods: Risk 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 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 post-deployment summative evaluation. Results: Problem 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 facilitatd enrollment, randomization, model visualization, data capture, and reporting for trial purposes. Conclusions: The 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.



Publication History

Received: 21 November 2023

Accepted after revision: 27 March 2024

Accepted Manuscript online:
02 April 2024

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