Using a computerized provider order entry system to meet the unique prescribing needs of children: description of an

Jeffrey M Ferranti1, Monica M Horvath, Jeanette Jansen

  • 1Duke Health Technology Solutions, Duke University Health System, Durham, NC, USA. ferra007@mc.duke.edu

Insights

Duke University Hospital enhanced its computerized provider order entry (CPOE) system to safely dose pediatric medications. The advanced dosing model (ADM) provides tailored decision support, safeguarding children from adult dosing errors.

Area of Science:

  • Pediatric pharmacology
  • Health informatics
  • Clinical decision support systems

Background:

  • Pediatric medication dosing requires different approaches than adult dosing.
  • Computerized provider order entry (CPOE) systems need specific adaptations for pediatric use.
  • Duke University Hospital aimed to improve pediatric medication safety through CPOE enhancement.

Purpose of the Study:

  • To adapt an existing CPOE system for the unique medication dosing needs of pediatric patients.
  • To implement an advanced dosing model (ADM) for complex pediatric dose calculations.
  • To enhance medication safety and accuracy in pediatric care.

Main Methods:

  • Developed an advanced dosing model (ADM) integrated with the existing CPOE system.
  • Incorporated decision support for calculations based on age, weight, care area, indication, and renal impairment.
  • Implemented alerting logic for weight accuracy and safeguards against erroneous entries and incorrect dosing.

Main Results:

  • Successfully deployed pediatric CPOE across 6 care areas over 14 months.
  • Added safeguards for data entry and dosing to prevent over- and under-dosing.
  • The modular ADM allows for easy updates for new dosing scenarios and changing patient populations.

Conclusions:

  • Pediatric patients have distinct medical needs requiring tailored information system design.
  • Safeguards like redirection and suppression are crucial when using a single CPOE for adults and pediatrics.
  • The developed model offers active dosing assistance and process management, surpassing static dosing advice.
Abstract

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