Sterile product compounding using an i.v. compounding workflow management system at a pediatric hospital.

Am J Health Syst Pharm

Thomas T. Moniz, Pharm.D., is Informatics Pharmacist, Department of Pharmacy, Boston Children's Hospital, Boston, MA. Stephen Chu, Pharm.D., is Clinical Pediatric Pharmacist, Department of Pharmacy, Boston Children's Hospital, and Adjunct Professor, MCPHS University School of Pharmacy-Boston. Crystal Tom, Pharm.D., BCPS, is General Pediatrics Pharmacist Team Lead, Department of Pharmacy, Boston Children's Hospital, and Adjunct Professor, Bouvé College of Health Sciences School of Pharmacy, Northeastern University, Boston, and MCPHS University School of Pharmacy-Boston. Peter Lutz, Pharm.D., is Associate Director of Pharmacy, Department of Pharmacy, Boston Children's Hospital, and Adjunct Professor, Bouvé College of Health Sciences School of Pharmacy, Northeastern University, and MCPHS University School of Pharmacy-Boston. Alana Arnold, Pharm.D., BCPS, AQ-ID, is Associate Director of Pharmacy, Boston Children's Hospital, and Adjunct Professor, Bouvé College of Health Sciences School of Pharmacy, Northeastern University, and MCPHS University School of Pharmacy-Boston. Kathleen M. Gura, Pharm.D., BCNSP, FASHP, FPPAG, is Team Leader, Surgical Program, and Clinical Pharmacy Specialist in Gastroenterology/Nutrition, Boston Children's Hospital, and Adjunct Professor, Bouvé College of Health Sciences School of Pharmacy, Northeastern University, and MCPHS University School of Pharmacy-Boston. Al Patterson, Pharm.D., is Director of Pharmacy, Boston Children's Hospital, and Adjunct Professor, Bouvé College of Health Sciences School of Pharmacy, Northeastern University, and MCPHS University School of Pharmacy-Boston.

Published: August 2014

AI Article Synopsis

  • The study highlights the benefits of an automated intravenous (i.v.) compounding workflow management system in improving patient safety at a pediatric hospital.
  • Over a 13-month evaluation period, this system detected errors in 0.68% of the 425,683 medication doses prepared, with significant numbers requiring rework or destruction due to compounding mistakes.
  • Approximately 23% of the errors identified were not detectable by the previous verification methods, with some posing risks for adverse drug events, although most errors were related to imaging issues that were not clinically significant.

Article Abstract

Purpose: Patient safety enhancements achieved through the use of an automated i.v. compounding workflow management system are reported.

Summary: Automated systems integrating barcode verification of ingredients and the capture of serial images of all steps of the admixture process have the potential to improve the accuracy of parenteral i.v. medication dose preparation. About 18 months after the implementation of such a system at a large pediatric hospital, a retrospective analysis of dose preparation outcomes was conducted to evaluate the effectiveness of the i.v. workflow manager in detecting compounding errors and to categorize detected errors. In verifying the accuracy of 425,683 medication doses prepared during the approximately 13-month evaluation period, dispensing pharmacists detected preparation or documentation errors affecting 2,900 doses (0.68%); 1,223 of those doses (0.29%) required reworking, and 1,677 (0.4%) were rejected and destroyed. Roughly 23% of the detected errors were classified as undetectable via the pharmacy's previous verification practices, with 167 errors judged to pose the potential for adverse drug events resulting in moderate (n=146) or severe (n=21) harm. Among the reworked and rejected doses, 43.8% and 31.3%, respectively, were due to newly emergent problems not seen with traditional paper-based verification systems; however, most of these errors involved blurry or missing images and were not judged to be clinically significant.

Conclusion: Implementation of an i.v. workflow management system that integrates barcode verification, automated calculations, and image-capture capabilities led to increased detection of errors in the sterile product compounding process.

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Source
http://dx.doi.org/10.2146/ajhp130649DOI Listing

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