Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background Electronic prescribing is increasingly used, in part because of government incentives for its use. Many of its benefits come from clinical decision support (CDS), but often too many alerts are displayed, resulting in alert fatigue.#N##N#Objective To characterize the override rates for medication-related CDS alerts in the outpatient setting, the reasons cited for overrides at the time of prescribing, and the appropriateness of overrides.#N##N#Methods  measured CDS alert override rates and the coded reasons for overrides cited by providers at the time of prescribing. Our primary outcome was the rate of CDS alert overrides; our secondary outcomes re the rate of overrides by alert type, reasons cited for overrides at the time of prescribing, and override appropriateness for a subset of 600 alert overrides. Through detailed chart reviews of alert override cases, and selective literature review,  developed appropriateness criteria for each alert type, which re modified iteratively as necessary until consensus was reached on all criteria.#N##N#Results  revied 157 483 CDS alerts (7.9% alert rate) on 2 004 069 medication orders during the study period. 82 889 (52.6%) of alerts re overridden. The most common alerts re duplicate drug (33.1%), patient allergy (16.8%), and drug–drug interactions (15.8%). The most likely alerts to be overridden re formulary substitutions (85.0%), age-based recommendations (79.0%), renal recommendations (78.0%), and patient allergies (77.4%). An average of 53% of overrides re classified as appropriate, and rates of appropriateness varied by alert type (p<0.0001) from 12% for renal recommendations to 92% for patient allergies.#N##N#Discussion About half of CDS alerts re overridden by providers and about half of the overrides re classified as appropriate, but the likelihood of overriding an alert varied widely by alert type. Refinement of these alerts has the potential to improve the relevance of alerts and reduce alert fatigue.
['Karen C. Nanji', 'Sarah P. Slight', 'Diane L. Seger', 'Insook Cho', 'Julie M. Fiskio', 'Lisa Redden', 'Lynn A. Volk', 'David W. Bates']
I am writing a research paper on a idea Overrides of medication-related clinical decision support alerts in outpatients
[{"from": "human", "value": "I am writing a research paper on a idea Overrides of medication-related clinical decision support alerts in outpatients"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background Electronic prescribing is increasingly used, in part because of government incentives for its use. Many of its benefits come from clinical decision support (CDS), but often too many alerts are displayed, resulting in alert fatigue.#N##N#Objective To characterize the override rates for medication-related CDS alerts in the outpatient setting, the reasons cited for overrides at the time of prescribing, and the appropriateness of overrides.#N##N#Methods  measured CDS alert override rates and the coded reasons for overrides cited by providers at the time of prescribing. Our primary outcome was the rate of CDS alert overrides; our secondary outcomes re the rate of overrides by alert type, reasons cited for overrides at the time of prescribing, and override appropriateness for a subset of 600 alert overrides. Through detailed chart reviews of alert override cases, and selective literature review,  developed appropriateness criteria for each alert type, which re modified iteratively as necessary until consensus was reached on all criteria.#N##N#Results  revied 157 483 CDS alerts (7.9% alert rate) on 2 004 069 medication orders during the study period. 82 889 (52.6%) of alerts re overridden. The most common alerts re duplicate drug (33.1%), patient allergy (16.8%), and drug\u2013drug interactions (15.8%). The most likely alerts to be overridden re formulary substitutions (85.0%), age-based recommendations (79.0%), renal recommendations (78.0%), and patient allergies (77.4%). An average of 53% of overrides re classified as appropriate, and rates of appropriateness varied by alert type (p<0.0001) from 12% for renal recommendations to 92% for patient allergies.#N##N#Discussion About half of CDS alerts re overridden by providers and about half of the overrides re classified as appropriate, but the likelihood of overriding an alert varied widely by alert type. Refinement of these alerts has the potential to improve the relevance of alerts and reduce alert fatigue."}]