Evidence map›Paper›PMID 39740769›Full record

ArticleApplied clinical informatics2025

The Elements of Style for Interruptive Electronic Health Record Alerts.

Jessica J Pourian, Catherine Blebea, Charumathi R Subramanian, Andrew Auerbach, Raman Khanna

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Jessica J PourianDivision of Clinical Informatics and Digital Transformation, Department of Pediatrics, University of California, San Francisco, San Francisco, California, United States.
Catherine BlebeaDivision of Pulmonary, Critical Care, Allergy and Sleep Medicine, University of California, San Francisco, San Francisco, California, United States.
Charumathi R SubramanianDivision of Clinical Informatics and Digital Transformation, Division of Hospital Medicine, University of California, San Francisco, San Francisco, California, United States.
Andrew AuerbachDivision of Hospital Medicine, University of California, San Francisco, San Francisco, California, United States.
Raman KhannaDivision of Hospital Medicine, University of California, San Francisco, San Francisco, California, United States.

Funding

MUTIDISCIPLINARY TRAINING PROGRAM IN LUNG DISEASEST32HL007185 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI David J Erle, LAURENCE HUANG · 1985 to 2026
$24.6M
NHLBI NIH HHS T32 HL007185
6 · The paper itself

Abstract

backgroundThe proliferation of electronic health record (EHR) alerts has led to widespread alert fatigue and clinician burnout, undermining the effectiveness of clinical decision support and compromising patient safety.

objectivesWe introduce a comprehensive style guide for designing interruptive alerts (IAs) in EHR systems to improve clinician engagement and reduce alert fatigue that has been approved by our institutional alert governance committees. This style guide addresses critical aspects of IAs, including format, typography, color coding, title brevity, patient identification, and introductory text. It also outlines the use of typographic emphasis, response options, default actions, and opt-out mechanisms, emphasizing the need for clear, concise, and actionable alerts that consider clinician workflow and cognitive burden. DISCUSSION: A standardized style guide for IAs can enhance clinician experience and clinical outcomes by reducing alert fatigue. Incorporating feedback and continuous evaluation of alert effectiveness is essential for maintaining relevance and supporting patient care within a dynamic clinical environment.

Indexed as

Electronic Health Records

Identifiers

PMID39740769
PMCPMC12058297

What OpenQuestion holds

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Registered trials

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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.