Evidence map›Paper›PMID 40020740›Full record

ArticleApplied clinical informatics2025

Challenges to Reduce Alert Burden Using Current Decision Support Infrastructure in Two Commercial EHR Systems: Lessons Learned and Path Forward.

Tiago K Colicchio, David ElHalta, Guilherme Del Fiol, Kensaku Kawamoto, Howard R Strasberg, James J Cimino

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Tiago K ColicchioDepartment of Biomedical Informatics and Data Science, University of Alabama at Birmingham, Birmingham, Alabama, United States.
David ElHaltaDepartment of Pharmacy Services, University of Utah, Salt Lake City, Utah, United States.
Guilherme Del FiolDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
Kensaku KawamotoDepartment of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
Howard R StrasbergClinical Effectiveness, Wolters Kluwer Health, San Diego, California, United States.
James J CiminoDepartment of Biomedical Informatics and Data Science, University of Alabama at Birmingham, Birmingham, Alabama, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the proven usefulness of appropriate clinical decision support (CDS) alerts, many CDS systems fire excessive, clinically irrelevant alerts that are often ignored by clinicians. We have developed a method to suppress false-positive alerts based on prior drug tolerance but encountered substantial barriers to integrating the method into widely adopted commercial electronic health record (EHR) systems.This study aimed to describe the challenges faced while attempting to integrate our method into the CDS infrastructure of two commercial EHR systems and provide recommendations for future research and CDS design.Using a multifaceted approach, we investigated (1) the use of emergent CDS standards (e.g., CDS Hooks) to create a scalable solution to augment off-the-shelf EHR-based alerts with patient-specific custom alerts, (2) customize CDS rules of commercial medication knowledge bases (MKBs) to reduce false-positive alerts, and (3) manually inactivate allergy documentation in patients with prior drug tolerance.We were unable to implement the standards-based approach because support for CDS Hooks was found to be tailored to specific scenarios that involve the creation of new drug allergy alerts (DAAs) but not the suppression of vendor-supplied DAAs. Likewise, we were unable to suppress alerts imported from MKBs into the EHR systems investigated because these systems do not support discrete clinical documentation changes that drive DAAs. Lastly, we determined that although manually inactivating allergy documentation in patients with prior drug tolerance is possible, doing so requires the impractical solution of creating and maintaining individual rules for each drug at the ingredient level.We describe the barriers that precluded implementation of a novel method to suppress clinically irrelevant CDS alerts in two commercial EHR systems. Overcoming these barriers will require a more flexible CDS infrastructure, as well as collaboration and shared responsibility across diverse stakeholders.

Indexed as

CommerceDecision Support Systems, ClinicalElectronic Health RecordsMedical Order Entry SystemsHumans

Identifiers

PMID40020740
PMCPMC12196563

What OpenQuestion holds

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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.