Evidence map›Paper›PMID 40360000›Full record

ArticleApplied clinical informatics2025

Right Idea, Wrong Time: Focusing on Alert Timing for Effective Decision Support.

Averi E Wilson, Andrew P Bain, Janet Webb, Christoph U Lehmann, Brett Moran, Nainesh Shah, Ellen O'Connell

Abstract read
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Averi E WilsonDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Andrew P BainClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Janet WebbDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Christoph U LehmannDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Brett MoranDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Nainesh ShahClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States.
Ellen O'ConnellClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective clinical decision support (CDS) interventions improve adherence to care guidelines, reduce prescribing errors, and, in some settings, decrease patient mortality. However, misalignment with the "Five Rights" framework, particularly regarding CDS timing in clinical workflows, can lead to implementation failures, alert fatigue, and physician burnout.This case series aimed to evaluate and redesign three interruptive CDS alerts at a large safety net health system to better align with clinician workflows, reduce interruptions, and improve compliance with care guidelines.We analyzed three interruptive alerts using data from Epic's SlicerDicer tool, focusing on alert frequency, contributors to alert triggering, and user responses before and after intervention. Alerts were modified to improve their timing and relevance within the workflow.Modifications included retiming a human immunodeficiency virus screening alert to trigger during laboratory test orders, reducing alert firings by 87% while increasing monthly screening orders from 3,561 to 4,547 (

Indexed as

Decision Support Systems, ClinicalHumansTime FactorsWorkflow

Identifiers

PMID40360000
PMCPMC12473523

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.