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Improving IV Insulin Administration in a Community Hospital
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Published on: June 11, 2012

Errors associated with outpatient computerized prescribing systems.

Karen C Nanji1, Jeffrey M Rothschild, Claudia Salzberg

  • 1Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA. knanji@partners.org

Journal of the American Medical Informatics Association : JAMIA
|July 1, 2011
PubMed
Summary
This summary is machine-generated.

Approximately 11.7% of outpatient computer-generated prescriptions contained errors, with a third posing potential harm. Computerized prescribing system design significantly impacts medication error rates.

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Area of Science:

  • Health Informatics
  • Medication Safety
  • Clinical Pharmacy

Background:

  • Computer-generated prescriptions are increasingly common in outpatient settings.
  • Medication errors represent a significant patient safety concern.
  • Understanding error patterns is crucial for improving prescription systems.

Purpose of the Study:

  • To determine the frequency, types, and causes of errors in computer-generated outpatient prescriptions.
  • To develop a classification framework for these errors.
  • To identify strategies for error prevention in computerized prescribing.

Main Methods:

  • Retrospective cohort study of 3850 computer-generated prescriptions.
  • Prescriptions reviewed by a clinician panel over 4 weeks in 2008.
  • Medication errors and potential adverse drug events were identified and classified.

Main Results:

  • 11.7% of prescriptions (452/3850) had errors, totaling 466 errors.
  • 35.0% of errors (163/466) were classified as potential adverse drug events.
  • Error rates varied significantly by computerized prescribing system (5.1% to 37.5%), with omitted information being the most common error type (60.7%).

Conclusions:

  • About 1 in 10 computer-generated prescriptions contain errors, with a third having potential for harm.
  • Error rates and types differ across prescribing systems, indicating system-specific vulnerabilities.
  • Effective implementation of computerized prescribing systems requires comprehensive functionality and processes to minimize medication errors.