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    Analysis of Electronic Prescribing Errors and Impact on Patient Care: Would a Collaborative Practice Agreement be Beneficial?

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    Author
    Smith, Charity
    Swartzfager, Theresa
    Lugo, LeAnna
    Herrier, Richard
    Affiliation
    College of Pharmacy, The University of Arizona
    Issue Date
    2016
    Keywords
    Patient Care
    Collaborative
    Practice Agreement
    Electronic Prescribing Errors
    MeSH Subjects
    Medication Errors
    Patient Care
    Advisor
    Herrier, Richard
    
    Metadata
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    Rights
    Copyright © is held by the author.
    Collection Information
    This item is part of the Pharmacy Student Research Projects collection, made available by the College of Pharmacy and the University Libraries at the University of Arizona. For more information about items in this collection, please contact Jennifer Martin, Librarian and Clinical Instructor, Pharmacy Practice and Science, jenmartin@email.arizona.edu.
    Publisher
    The University of Arizona.
    Abstract
    Objectives: Analyze electronic prescription errors made by a community health center. Determine the time it takes to correct electronic prescription errors in a community pharmacy. Ascertain whether or not a collaborative practice agreement would be beneficial. Methods: The store computer system was used to generate a report of all prescriptions received at a community pharmacy from a community health center during a 6-month period. Using an Excel sheet, one author kept track of how many electronic prescriptions were received, the number and type of errors, and the time it took to get an error corrected. Results: There were 1896 electronic prescriptions sent from a community health center to a community pharmacy; 61 contained an error (3.24%). On average, it took the doctor’s office 111.7 hours to call back and clarify the mistake. Conclusions: There was not a significant amount of prescribing errors that occurred during the data collection period. However, the time it took for the doctor’s office to call back was significant and translates to patients not being able to get their medications on time.
    Description
    Class of 2016 Abstract
    Collections
    Pharmacy Student Research Projects

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