Medication-related clinical decision support alert overrides in inpatients

Author:

Nanji Karen C123,Seger Diane L34,Slight Sarah P456,Amato Mary G47,Beeler Patrick E4,Her Qoua L4,Dalleur Olivia48,Eguale Tewodros47,Wong Adrian47,Silvers Elizabeth R34,Swerdloff Michael34,Hussain Salman T1,Maniam Nivethietha34,Fiskio Julie M4,Dykes Patricia C4,Bates David W234

Affiliation:

1. Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA

2. Harvard Medical School, Boston, MA, USA

3. Partners HealthCare Systems, Wellesley, MA, USA

4. The Center for Patient Safety Research and Practice, Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, MA, USA

5. School of Pharmacy, Newcastle University, Newcastle Upon Tyne, UK

6. Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK

7. Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA

8. Louvain Drug Research Institute and Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium

Abstract

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.

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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