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Learning from errors: analysis of medication order voiding in CPOE systems.

Thomas G Kannampallil1, Joanna Abraham2, Anna Solotskaya3

  • 1Department of Family Medicine, College of Medicine, University of Illinois at Chicago, Chicago, IL, USA.

Journal of the American Medical Informatics Association : JAMIA
|March 25, 2017
PubMed
Summary
This summary is machine-generated.

The medication order voiding function can identify medication ordering errors, with an estimated 70% of voided orders being errors. Improving clinician training can enhance the accuracy of this self-reporting mechanism for medication safety.

Keywords:
CPOEmedication errorsmedication order voidingpatient safety

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Area of Science:

  • Health Informatics
  • Patient Safety
  • Clinical Pharmacy

Background:

  • Medication ordering errors pose a significant risk to patient safety.
  • Electronic health record (EHR) systems offer functionalities that may aid in error identification.
  • The medication order voiding function is a feature within EHRs designed to correct erroneous orders.

Purpose of the Study:

  • To determine if the medication order voiding function can be utilized to record and analyze medication ordering errors.
  • To assess the prevalence of medication ordering errors among voided orders.
  • To evaluate the accuracy of clinician-provided reasons for voiding orders.

Main Methods:

  • Analysis of over 5.8 million medication orders from an academic medical center (2006-2011).
  • Categorization of orders by void status and clinician-reported voiding reasons.
  • Multivariable logistic regression to identify factors associated with order voiding.
  • Chart review of 198 voided orders to confirm error rates and reason accuracy.

Main Results:

  • 0.49% of all medication orders were voided.
  • Order voiding was associated with clinician type and order type.
  • An estimated 70% ± 10% of voided orders were attributed to medication ordering errors.
  • Clinician reasons for voiding were accurate for duplicate orders (72%) but less so for other error types.

Conclusions:

  • The order voiding function in EHRs presents a feasible, low-effort method for self-reporting medication ordering errors.
  • Utilizing voided orders can contribute valuable data for medication safety initiatives, learning, and training.
  • Enhanced clinician training on using the voiding function can improve the quality and utility of reported error data.