Evidence map›Paper›PMID 21347012›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010

Improving Patient Safety through Medical Alert Management: An Automated Decision Tool to Reduce Alert Fatigue.

Eva K Lee, Amanda F Mejia, Tal Senior, James Jose

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Public health communications and alert fatigue.BMC health services research · 2013
    Trial
  7. Trial
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Online Conditional Outlier Detection in Nonstationary Time Series.Proceedings of the ... International Florida AI Research Society Conference. Florida AI Research Symposium · 2017
    Article
  19. Improving Clinical Decision Support in Pharmacy: Toward the Perfect DUR Alert.Journal of managed care & specialty pharmacy · 2017
    Article
  20. 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

4 authors.

Eva K LeeCenter for Operations Research in Medicine and HealthCare.
Amanda F Mejia
Tal Senior
James Jose

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug safety alerts, a feature of electronic medical records (EMRs), are increasingly recognized as valuable tools for reducing adverse drug events and improving patient safety. However, there has also been increased understanding that alert fatigue, a state in which users become overwhelmed and unresponsive to alerts in general, is a threat to patient safety. In this paper, we seek to mitigate alert fatigue by filtering superfluous alerts. We design a method of predicting alert overrides based on past alert override rate, range in override rate, and sample size. Using a dataset from a large pediatric network, we retroactively test and validate our method. For the test implementation, alerts are filtered with 91-96% accuracy, depending on the parameter values selected. By filtering these alerts, we reduce alert fatigue and allow users to refocus resources to potentially vital alerts, reducing the occurrence of adverse drug events.

Indexed as

Medical Order Entry SystemsPatient SafetyDecision Support Systems, ClinicalDisease ManagementDrug InteractionsDrug-Related Side Effects and Adverse ReactionsElectronic Health RecordsHumansMedication Errors

Identifiers

PMID21347012
PMCPMC3041356

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.