Medication-related clinical decision support alert overrides in inpatients

• Published in: Journal of the American Medical Informatics Association : JAMIA Vol. 25; no. 5; pp. 476 - 481
• Main Authors: Nanji, Karen C, Seger, Diane L, Slight, Sarah P, Amato, Mary G, Beeler, Patrick E, Her, Qoua L, Dalleur, Olivia, Eguale, Tewodros, Wong, Adrian, Silvers, Elizabeth R, Swerdloff, Michael, Hussain, Salman T, Maniam, Nivethietha, Fiskio, Julie M, Dykes, Patricia C, Bates, David W
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.05.2018
• Subjects: Research and Applications
• ISSN: 1067-5027; 1527-974X; 1527-974X
• DOI: 10.1093/jamia/ocx115

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. 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. 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. 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. 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.