Evidence map›Paper›PMID 39903167›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

Alert design in the real world: a cross-sectional analysis of interruptive alerting at 9 academic pediatric health systems.

Swaminathan Kandaswamy, Julia K W Yarahuan, Elizabeth A Dobler, Matthew J Molloy, Lindsey A Knake, Sean M Hernandez, Anne A Fallon, Lauren M Hess, Allison B McCoy, Regine M Fortunov and 5 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Swaminathan KandaswamyDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, United States.ORCID 0000-0003-2109-5769
Julia K W YarahuanDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, United States.
Elizabeth A DoblerDepartment of Clinical Informatics, Ann and Robert H Lurie Children's Hospital of Chicago, Chicago, IL 60611, United States.
Matthew J MolloyDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45221, United States.
Lindsey A KnakeDepartment of Pediatrics, Division of Neonatology, University of Iowa, Iowa City, IA 52242, United States.
Sean M HernandezDepartment of General Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, United States.
Anne A FallonDivision of Pediatric Hospital Medicine, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, United States.
Lauren M HessDepartment of Pediatrics, Baylor College of Medicine, Houston, TX 77030, United States.
Allison B McCoyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, United States.ORCID 0000-0003-2292-9147
Regine M FortunovDepartment of Pediatrics, Baylor College of Medicine, Houston, TX 77030, United States.
Eric S KirkendallDepartment of General Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27101, United States.
Naveen MuthuDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, United States.
Evan W OrensteinDepartment of Pediatrics, Emory University School of Medicine, Atlanta, GA 30322, United States.
Adam C DziornyDivision of Pediatric Hospital Medicine, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY 14642, United States.ORCID 0000-0002-3392-2795
Juan D ChaparroDivision of Clinical Informatics, Nationwide Children's Hospital, Columbus, OH 43205, United States.

Funding

National Center for Advancing Translational ScienceNLM NIH HHS
6 · The paper itself

Abstract

objectiveTo assess the prevalence of recommended design elements in implemented electronic health record (EHR) interruptive alerts across pediatric care settings. MATERIALS AND

methodsWe conducted a 3-phase mixed-methods cross-sectional study. Phase 1 involved developing a codebook for alert content classification. Phase 2 identified the most frequently interruptive alerts at participating sites. Phase 3 applied the codebook to classify alerts. Inter-rater reliability (IRR) for the codebook and descriptive statistics for alert design contents were reported.

resultsWe classified alert content on design elements such as the rationale for the alert's appearance, the hazard of ignoring it, directive versus informational content, administrative purpose, and whether it aligned with one of the Institute of Medicine's (IOM) domains of healthcare quality. Most design elements achieved an IRR above 0.7, with the exceptions for identifying directive content outside of an alert (IRR 0.58) and whether an alert was for administrative purposes only (IRR 0.36). IRR was poor for all IOM domains except equity. Institutions varied widely in the number of unique alerts and their designs. 78% of alerts stated their purpose, over half were directive, and 13% were informational. Only 2%-20% of alerts explained the consequences of inaction. DISCUSSION: This study raises important questions about the optimal balance of alert functions and desirable features of alert representation.

conclusionOur study provides the first multi-center analysis of EHR alert design elements in pediatric care settings, revealing substantial variation in content and design. These findings underline the need for future research to experimentally explore EHR alert design best practices to improve efficiency and effectiveness.

Indexed as

Electronic Health RecordsMedical Order Entry SystemsAcademic Medical CentersChildCross-Sectional StudiesHumansPediatricsUnited Statesbenchmarkingdecision support systemselectronic health records

Identifiers

PMID39903167
PMCPMC12005624

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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.