Language

English

Publication Date

4-1-2025

Journal

Journal of the American Medical Informatics Association

DOI

10.1093/jamia/ocaf013

PMID

39903167

PMCID

PMC12005624

PubMedCentral® Posted Date

2-4-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Objective: To assess the prevalence of recommended design elements in implemented electronic health record (EHR) interruptive alerts across pediatric care settings.

Materials and methods: We 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.

Results: We 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.

Conclusion: Our 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.

Keywords

Cross-Sectional Studies, Humans, Electronic Health Records, Medical Order Entry Systems, Academic Medical Centers, Pediatrics, Child, United States, electronic health records, decision support systems, benchmarking

Published Open-Access

yes

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