The effect of a Computerized pediatric dosing decision support system on pediatric dosing errors

Jing Yi Hou, Kuei Ju Cheng, Kuan Jen Bai, Hsiang Yin Chen, Wen Hao Wu, You Meei Lin, Man Tzu Marcie Wu

Research output: Contribution to journalArticle

2 Citations (Scopus)


Children are more susceptible to medication errors because of differences in pharmacokinetics and pharmacodynamics compared to adults. Weight changes are common with growth in children and computer systems frequently are not updated with current information, which result in inaccurate weight-based dosing and thus harm children. This study evaluated the impact of a Computerized Physician Order Entry system with standardized pediatric dosing decision support (PDDS) function on reducing pediatric dosing errors. Outpatient prescriptions were analyzed from January to March during 2010 and 2011. The total number of pediatric prescriptions was 72,431 and 80,532 prior to and after system implementation, respectively. Out of 72,431 prescriptions, 1617 (2.23%) dosing errors were retrospectively detected by the system, whereas 15 dosing errors (0.02%) were detected by pharmacists prior to system implementation. Incorporating the system into practice resulted in a total of 210 successfully blocked dosing near misses, including 14 potentially fatal and 11 serious near misses. The final dosing error rate was significantly reduced from 2.23% to 0.66% (p <0.001). A 10-fold increase of the near miss correction rate (0.02% vs. 0.26%, p <0.001) was observed. The Computerized Physician Order Entry system with standardized pediatric dosing decision support system provided real-time warning and significantly decreased the dose error rate among pediatric patients.

Original languageEnglish
Pages (from-to)286-291
Number of pages6
JournalJournal of Food and Drug Analysis
Issue number3
Publication statusPublished - Sep 2013



  • Computerized Physician Order Entry (CPOE)
  • Medication safety
  • Pediatric dose
  • Pediatrics

ASJC Scopus subject areas

  • Food Science
  • Pharmacology

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