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Updated: Jun 9, 2025

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings
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Risk factors for wrong-patient medication orders in the emergency department.

Gert Krummrey1,2, Thomas C Sauter2, Wolf E Hautz2

  • 1Institute for Medical Informatics (I4MI), Bern University of Applied Sciences (BFH), Biel/Bienne 2501, Switzerland.

JAMIA Open
|October 28, 2024
PubMed
Summary

Wrong-patient medication errors in the emergency department (ED) are linked to exam room proximity in the electronic medical record (EMR) and patients sharing the same sex. These factors increase the risk of ordering mistakes.

Keywords:
electronic medical records (EMRs)emergency medicinemedication errorretract-and-reorder (RaR)

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Area of Science:

  • Health Informatics
  • Patient Safety
  • Emergency Medicine

Background:

  • Wrong-patient medication errors pose a significant risk in emergency departments (EDs).
  • The "retract-and-reorder" (RaR) metric identifies intercepted ordering errors, providing a basis for studying contributing factors.

Purpose of the Study:

  • To investigate risk factors associated with wrong-patient medication orders in an ED.
  • To identify specific elements within the electronic medical record (EMR) and patient demographics that correlate with ordering errors.

Main Methods:

  • Analysis of medication ordering data from an academic ED over a 5-year period (2017-2021).
  • Identification and evaluation of "retract-and-reorder" (RaR) events.
  • Statistical assessment of associations between RaR events and factors including patient name similarity, birthdates, sex, age, time of day, shift start proximity, and EMR exam room layout.

Main Results:

  • A total of 1031 RaR events were identified, with a proportional incidence of 184 per 100,000 ED orders.
  • RaR events were significantly associated with closer proximity of exam rooms in the EMR interface (OR 0.62, P < .001) and patients of the same sex (OR 1.26, P = .001).
  • Factors such as similarity in patient names, birthdates, and age showed no significant association with RaR events.

Conclusions:

  • Exam room proximity within the EMR and patients' shared sex are identified as significant risk factors for wrong-patient medication orders.
  • Findings suggest that EMR interface design and patient demographic matching play crucial roles in preventing medication ordering errors.
  • Further research into user interface optimization and alert systems may enhance patient safety in ED medication ordering.