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Related Experiment Video

Updated: Dec 21, 2025

Improving IV Insulin Administration in a Community Hospital

Improving IV Insulin Administration in a Community Hospital

Published on: June 11, 2012

Alert Types and Frequencies During Bar Code-Assisted Medication Administration: A Systematic Review.

Elizabeth A Sloss¹, Terry L Jones

¹Department of Professional Nursing Practice, School of Nursing & Health Studies, Georgetown University, Washington, District of Columbia (Ms Sloss); and Department of Adult Health and Nursing Systems, School of Nursing, Virginia Commonwealth University, Richmond (Dr Jones).

Journal of Nursing Care Quality

|May 21, 2020

Summary

This review of bar code-assisted medication administration (BCMA) alerts found common types like patient mismatch and wrong medication. Alert frequencies varied widely, highlighting the need for further research into alert generation patterns.

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Area of Science:

Health Informatics
Patient Safety
Clinical Pharmacy

Background:

Existing literature examines bar code-assisted medication administration (BCMA) effectiveness on reducing medication errors and nurse workarounds.
A gap exists in comprehensive reviews detailing the types and frequencies of alerts generated by nurses during BCMA.

Purpose of the Study:

To systematically review and describe the types and frequencies of alerts generated during BCMA.

Main Methods:

A systematic literature review was conducted following PRISMA guidelines.
Searches were performed across CINAHL, PubMed, EMBASE, and Ovid Medline databases.
Eight articles met the inclusion and exclusion criteria for the review.

Main Results:

Common alert types included patient mismatch, wrong medication, and wrong dose.
Alert generation frequencies varied significantly across studies, ranging from 0.18% to 42%.
Not all generated alerts were clinically significant.

Conclusions:

This systematic review synthesizes current literature on BCMA alert types and frequencies.
Further research is necessary to elucidate alert generation patterns and influencing factors.