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A Lightweight Approach to Barcode Medication Administration
 

A Lightweight Approach to Barcode Medication Administration

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Presented by Vadim Zimin

Presented by Vadim Zimin
School of Computer + Mathematical Sciences, Auckland University of Technology

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    A Lightweight Approach to Barcode Medication Administration A Lightweight Approach to Barcode Medication Administration Presentation Transcript

    • A Lightweight Approach to Barcode Medication Administration The Paper’s Authors: Vadim Zimin Jeruel Fernandes Annie Wang Joseph Ogunyebi Rob Ticehurst* Dr David Parry *Auckland District Health Board Presented by: Vadim Zimin
    • Blood Transfusion: Bedside Checking • Identify the patient • Complete the loop • A second person performs the same checking process • There must be no discrepancies
    • Medication Administration on a Ward The procedure • Medications prescribed for each patient on a paper chart • Nurse selects required medicines from shelving in medication room • Nurse administers to the patient Several points • Only one patients medicines should be prepared at a time • Repetitive task • Nurses create workarounds = error-potential
    • Where does it go wrong? • Current checks are wholly reliant on humans • Humans make mistakes • All hospitals will have reports of “wrong patient” errors from blood products and medicines • The consequences of these errors are devastating for all involved – patient and healthcare professional • Simply telling someone to do better is not an effective nor sustaining intervention • Can we use technology to make it harder for the human to get it wrong?
    • Literature Review Hassink, J., M. Jansen, et al. (2012). "Effects of bar code-assisted medication administration (BCMA) on frequency, type and severity of medication administration errors: a review of the literature." European Journal of Hospital PharmacyScience and Practice 19(5): 489-494. • Summarises 11 studies • Reviewed literature manly supports the idea that BCMA helps to reduce proportion of medication errors • Use of barcode technologies do not increase time spent by nurses for medication administration
    • Literature Review Chan, J. C. W., J. Lau, et al. (2004). “Use of an electronic barcode system for patient identification during blood transfusion: 3-year experience in a regional hospital.” Hong Kong Medical Journal 10(3): 166. • Three-year study in a Hong Kong regional hospital • Scan-and-print device was used to verify and document patients’ identity • No incidents occurred with 41 000 blood sampling procedures and administration of 27 000 units of blood • Barcode system was effective in reducing human error related to bedside transfusion procedures
    • Literature Review Van Onzenoort, H. A., A. van de Plas, et al. (2008). "Factors influencing bar-code verification by nurses during medication administration in a Dutch hospital." American Journal of Health-System Pharmacy 65(7): 644-648. • Electronic records were compared to number of prescribed medication administrations • Rate of nurses’ noncompliance – about half of cases • Five most common reasons: • • • • • Issues with scanning barcodes Delay of software Not knowing that medication had barcode label Lack of time Medication administration prior prescription
    • The Core Function Scan and compare barcodes The same Different
    • Implementation and Testing Implementation • Mobile-based application • BYOD Testing • Tested on an iPod 4 and iPhone 4S • Barcodes are scanned efficiently • iPod 4 lacks auto-focus Limitations • Was no pilot test • Smartphones not yet available for all nurses
    • Future Work Portable terminals • Are mobile computers with embedded OS and built-in barcode scanner Proof of concept • Application developed and tested with portable terminal What is next? • Pilot on a ward at Auckland Hospital
    • Key Points • Simple implementation • Barcodes are already available on patient identifier label • Significant potential to improve patient safety • Supporting evidence in published literature • In-demand
    • Questions?