Evidence map›Paper›PMID 28395667›Full record

ArticleBMC medical informatics and decision making2017

Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.

Jessica S Ancker, Alison Edwards, Sarah Nosal, Diane Hauser, Elizabeth Mauer, Rainu Kaushal, with the HITEC Investigators

Erratum issuedAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 359 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
359citing papers in PubMed, 7 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

359 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Alert fatigue measurement in clinical decision support: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2026
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pilot Trial of a Behavioral Economics-Informed Clinical Decision Support Alert to Improve Inpatient Tobacco Use Treatment Rates.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Trial
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

299 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jessica S AnckerDepartment of Healthcare Policy & Research, Division of Health Informatics, Weill Cornell Medical College, New York, NY, USA. jsa7002@med.cornell.edu.
Alison EdwardsDepartment of Healthcare Policy & Research, Division of Health Informatics, Weill Cornell Medical College, New York, NY, USA.
Sarah NosalDepartment of Family Medicine, Mount Sinai Icahn School of Medicine, New York, NY, USA.
Diane HauserDepartment of Family Medicine, Mount Sinai Icahn School of Medicine, New York, NY, USA.
Elizabeth MauerDepartment of Healthcare Policy & Research, Division of Health Informatics, Weill Cornell Medical College, New York, NY, USA.
Rainu KaushalDepartment of Healthcare Policy & Research, Division of Health Informatics, Weill Cornell Medical College, New York, NY, USA.
with the HITEC Investigators

Funding

Improving healthcare quality with user-centric patient portalsK01HS021531 · AHRQ · WEILL MEDICAL COLL OF CORNELL UNIV · PI ANCKER, JESSICA S. · 2013 to 2017
$761k
AHRQ HHS K01 HS021531
6 · The paper itself

Abstract

backgroundAlthough alert fatigue is blamed for high override rates in contemporary clinical decision support systems, the concept of alert fatigue is poorly defined. We tested hypotheses arising from two possible alert fatigue mechanisms: (A) cognitive overload associated with amount of work, complexity of work, and effort distinguishing informative from uninformative alerts, and (B) desensitization from repeated exposure to the same alert over time.

methodsRetrospective cohort study using electronic health record data (both drug alerts and clinical practice reminders) from January 2010 through June 2013 from 112 ambulatory primary care clinicians. The cognitive overload hypotheses were that alert acceptance would be lower with higher workload (number of encounters, number of patients), higher work complexity (patient comorbidity, alerts per encounter), and more alerts low in informational value (repeated alerts for the same patient in the same year). The desensitization hypothesis was that, for newly deployed alerts, acceptance rates would decline after an initial peak.

resultsOn average, one-quarter of drug alerts received by a primary care clinician, and one-third of clinical reminders, were repeats for the same patient within the same year. Alert acceptance was associated with work complexity and repeated alerts, but not with the amount of work. Likelihood of reminder acceptance dropped by 30% for each additional reminder received per encounter, and by 10% for each five percentage point increase in proportion of repeated reminders. The newly deployed reminders did not show a pattern of declining response rates over time, which would have been consistent with desensitization. Interestingly, nurse practitioners were 4 times as likely to accept drug alerts as physicians.

conclusionsClinicians became less likely to accept alerts as they received more of them, particularly more repeated alerts. There was no evidence of an effect of workload per se, or of desensitization over time for a newly deployed alert. Reducing within-patient repeats may be a promising target for reducing alert overrides and alert fatigue.

Indexed as

Alert Fatigue, Health PersonnelAdultDecision Support Systems, ClinicalElectronic Health RecordsHumansNurse PractitionersPhysicians, Primary CareRetrospective StudiesWorkloadAlert fatigueClinical decision supportElectronic health records

Identifiers

PMID28395667
PMCPMC5387195

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.