Literature DB >> 24166725

Overrides of medication-related clinical decision support alerts in outpatients.

Karen C Nanji1, Sarah P Slight, Diane L Seger, Insook Cho, Julie M Fiskio, Lisa M Redden, Lynn A Volk, David W Bates.   

Abstract

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.
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.
METHODS: We 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 were 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, we developed appropriateness criteria for each alert type, which were modified iteratively as necessary until consensus was reached on all criteria.
RESULTS: We reviewed 157,483 CDS alerts (7.9% alert rate) on 2,004,069 medication orders during the study period. 82,889 (52.6%) of alerts were overridden. The most common alerts were duplicate drug (33.1%), patient allergy (16.8%), and drug-drug interactions (15.8%). The most likely alerts to be overridden were formulary substitutions (85.0%), age-based recommendations (79.0%), renal recommendations (78.0%), and patient allergies (77.4%). An average of 53% of overrides were classified as appropriate, and rates of appropriateness varied by alert type (p<0.0001) from 12% for renal recommendations to 92% for patient allergies. DISCUSSION: About half of CDS alerts were overridden by providers and about half of the overrides were 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.

Entities:  

Keywords:  Alert Fatigue; Efficiency; Electronic Health Records; Electronic Prescribing; Meaningful Use; Safety

Mesh:

Year:  2013        PMID: 24166725      PMCID: PMC3994856          DOI: 10.1136/amiajnl-2013-001813

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  24 in total

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6.  Drug-drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records.

Authors:  Shobha Phansalkar; Heleen van der Sijs; Alisha D Tucker; Amrita A Desai; Douglas S Bell; Jonathan M Teich; Blackford Middleton; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2012-09-25       Impact factor: 4.497

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9.  Role of computerized physician order entry systems in facilitating medication errors.

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Authors:  Saul N Weingart; Maria Toth; Daniel Z Sands; Mark D Aronson; Roger B Davis; Russell S Phillips
Journal:  Arch Intern Med       Date:  2003-11-24
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  67 in total

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6.  Evaluation of Harm Associated with High Dose-Range Clinical Decision Support Overrides in the Intensive Care Unit.

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7.  Efficacy and unintended consequences of hard-stop alerts in electronic health record systems: a systematic review.

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Journal:  J Am Med Inform Assoc       Date:  2018-11-01       Impact factor: 4.497

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10.  Applying human factors principles to alert design increases efficiency and reduces prescribing errors in a scenario-based simulation.

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Journal:  J Am Med Inform Assoc       Date:  2014-03-25       Impact factor: 4.497

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