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Sterile product compounding using an i.v. compounding workflow management system at a pediatric hospital.
Am J Health Syst Pharm
August 2014
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.
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.