Optimizing the whole-process quality control system of intravenous drug distribution center based on failure mode and effect analysis
10.12206/j.issn.2097-2024.202504131
- VernacularTitle:基于失效模式与效应分析优化静脉用药调配中心全流程质量控制体系
- Author:
Wei WEI
1
;
Mingxia ZHANG
1
;
Yanping ZHOU
1
;
Lan YAN
1
;
Peng TIAN
1
;
Xia FENG
2
Author Information
1. Department of Pharmacy,.
2. Department of Nursing, the 940th Hospital of the Joint Logistic Support Force of PLA, Lanzhou 730050, China.
- Publication Type:Pharmacyadministration
- Keywords:
failure mode and effect analysis;
intravenous admixture service;
optimization;
quality control
- From:
Journal of Pharmaceutical Practice and Service
2026;44(6):322-328
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the application effect of a standardized management method based on failure mode and effect analysis （FMEA） in optimizing the whole-process quality control system of the intravenous admixture service （PIVAS）. Methods The quality control management system of the PIVAS was optimized by establishing six quality control groups led by the head nurse, with full participation of pharmacy, nursing, and logistical staff, ensuring comprehensive coverage and traceability of all quality control links. Each group conducted risk priority number （RPN） scoring for potential failure modes in their respective quality control processes, and targeted improvement measures were formulated based on the scoring results. The RPN values of failure modes and quality control-related evaluation indicators before and after implementation were compared to achieve closed-loop management. Results After one year of management, the RPN values of the six major failure modes significantly decreased compared to those before implementation （P<0.05）. The compounding error rate dropped to 0.13%, the dispensing error rate decreased to 0.95%, the compounding efficiency increased to 98%, the delivery time was shortened by 0.45 h per batch, the intervention rate for irrational prescriptions rose to 94.87%, satisfaction improved to 96.78%, and the participation rate of quality control personnel reached 95.36% （P<0.05）. Conclusion FMEA-based identification of potential failure modes in the whole-process quality control system of the IVAS, combined with risk quantification and targeted interventions, significantly reduced high-risk failure modes, improved compounding accuracy and efficiency, and ensured the safety of clinical intravenous medication and the effectiveness of healthcare quality management.
