Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2018 May 1;25(5):476-481.
doi: 10.1093/jamia/ocx115.

Medication-related clinical decision support alert overrides in inpatients

Affiliations
Observational Study

Medication-related clinical decision support alert overrides in inpatients

Karen C Nanji et al. J Am Med Inform Assoc. .

Abstract

Objective: To define the types and numbers of inpatient clinical decision support alerts, measure the frequency with which they are overridden, and describe providers' reasons for overriding them and the appropriateness of those reasons.

Materials and methods: We conducted a cross-sectional study of medication-related clinical decision support alerts over a 3-year period at a 793-bed tertiary-care teaching institution. We measured the rate of alert overrides, the rate of overrides by alert type, the reasons cited for overrides, and the appropriateness of those reasons.

Results: Overall, 73.3% of patient allergy, drug-drug interaction, and duplicate drug alerts were overridden, though the rate of overrides varied by alert type (P < .0001). About 60% of overrides were appropriate, and that proportion also varied by alert type (P < .0001). Few overrides of renal- (2.2%) or age-based (26.4%) medication substitutions were appropriate, while most duplicate drug (98%), patient allergy (96.5%), and formulary substitution (82.5%) alerts were appropriate.

Discussion: Despite warnings of potential significant harm, certain categories of alert overrides were inappropriate >75% of the time. The vast majority of duplicate drug, patient allergy, and formulary substitution alerts were appropriate, suggesting that these categories of alerts might be good targets for refinement to reduce alert fatigue.

Conclusion: Almost three-quarters of alerts were overridden, and 40% of the overrides were not appropriate. Future research should optimize alert types and frequencies to increase their clinical relevance, reducing alert fatigue so that important alerts are not inappropriately overridden.

PubMed Disclaimer

References

    1. Nanji KC, Patel A, Shaikh S et al. , Evaluation of perioperative medication errors and adverse drug events. Anesthesiology. 2016;1241:25–34. - PMC - PubMed
    1. Kopp BJ, Erstad BL, Allen ME et al. , Medication errors and adverse drug events in an intensive care unit: direct observation approach for detection. Crit Care Med. 2006;342:415–25. - PubMed
    1. Buckley MS, Erstad BL, Kopp BJ et al. , Direct observation approach for detecting medication errors and adverse drug events in a pediatric intensive care unit. Pediatr Crit Care Med. 2007;82:145–52. - PubMed
    1. Kaushal R, Bates DW, Landrigan C et al. , Medication errors and adverse drug events in pediatric inpatients. JAMA. 2001;28516:2114–20. - PubMed
    1. Lazarou J, Pomeranz BH, Corey PN. Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA. 1998;27915:1200–05. - PubMed

Publication types

MeSH terms