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

Author:

Turer Robert W.1,Gradwohl Stephen C.2,Stassun Justine2,Johnson Jakobi2,Slagle Jason M.3,Reale Carrie3,Beebe Russ3,Nian Hui4,Zhu Yuwei4,Albert Daniel5,Coffman Timothy5,Alaw Hala5,Wilson Tom5,Just Shari5,Peguillan Perry5,Freeman Heather5,Arnold Donald H.2,Martin Judith M.6,Suresh Srinivasan6,Coglio Scott7,Hixon Ryan7,Ampofo Krow8,Pavia Andrew T.8,Weinger Matthew B.,Williams Derek J.2,Weitkamp Asli O.9

Affiliation:

1. Department of Emergency Medicine and Clinical Informatics Center, UT Southwestern Medical Center, Dallas, Texas, United States

2. Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States

3. Department 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

4. Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee, United States

5. HealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, United States

6. Department of Pediatrics, University of Pittsburgh and UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States

7. Enterprise Development Services, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania, United States

8. Department of Pediatrics, University of Utah Health, Salt Lake City, Utah, United States

9. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States

Abstract

Abstract Objectives 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 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. 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 facilitated enrollment, randomization, model visualization, data capture, and reporting for trial purposes. Conclusion 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.

Funder

National Institutes of Health

National Institute of Allergy and Infectious Diseases

Publisher

Georg Thieme Verlag KG

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