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January 22, 2026PEDIATRICS1 citations

High-Risk Medicines and Technology-Related Prescribing Errors in 2 Pediatric Hospitals

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AMAlison MerchantMacquarie UniversityEFErin FitzpatrickMacquarie UniversityCDChelsea B. DerocheUniversity of Missouri

Key Points

  • This research aims to assess the occurrence and nature of high-risk medicine prescribing errors linked to technology in pediatric settings.
  • Conducted a retrospective review of 7014 high-risk medicine orders from pediatric inpatients.
  • Classified prescribing errors by clinical error type and potential harm.
  • Identified technology-related errors (TREs) and their underlying mechanisms.
  • Calculated rates of TREs per 100 high-risk medicine orders using Poisson models.
  • 20% of high-risk medicine orders contained at least one error.
  • 23.8% of total errors were classified as technology-related errors.
  • The rate of TREs was 5.39 per 100 high-risk medicine orders.
  • 47.4% of TREs were due to duplicate drug errors, and 20.9% were wrong-dose errors.
  • The primary mechanism for TREs was identified as workflow issues.

Abstract

OBJECTIVE High-risk medicine (HRM) prescribing errors in pediatrics are a safety concern. Technology-related errors (TREs) occur when the design of computerized provider order entry (CPOE) facilitates errors. We aimed to measure the proportion of HRM errors that were TREs and the HRM TRE rate at 2 pediatric hospitals, describe TRE types, and examine their underlying mechanisms. METHODS We identified 7014 HRM orders from retrospective medical record review of 18 951 medication orders for 2192 pediatric inpatients at 2 hospitals with the same CPOE in 2020. HRM prescribing errors were classified by clinical error type (eg, wrong dose, route) and potential harm. TREs were identified and their mechanisms (how they occurred—eg, selection error, editing error) classified. The rate was TREs/100 HRM orders. CI was estimated from Poisson models for rates and Wilson method for proportions. RESULTS Of the HRM orders, 20% (n = 1404) had at least 1 error. Of 1589 errors, 23.8% (n = 378) were TREs, with a rate of 5.39/100 HRM orders (95% CI, 4.86–5.96), and 32.5% (95% CI, 28.0–37.4) were potentially serious. TREs most frequently resulted in duplicate drug errors (47.4% of TREs; 95% CI, 42.4–52.4) and wrong-dose errors (20.9% of TREs; 95% CI, 17.1–25.3). The medications most frequently associated with TREs were insulin, anticoagulants, and narcotics. The most frequent TRE mechanism was “workflow” issues. CONCLUSIONS One in 4 HRM prescribing errors was technology related, one-third were potentially serious, and almost half were duplicate drug errors. Understanding HRM TREs can inform CPOE optimization to mitigate these errors and improve safety.

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Cite This Study

Merchant et al. (2026) studied this question.

synapsesocial.com/papers/6971be10642b1836717e2a9ahttps://doi.org/10.1542/peds.2024-070043
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