PIVAS quality and safety management based on 6S management informatization construction

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Authors: Run Wang, Qi Wang, Li Guo, Ying Sun, Hui Min Meng
Cited by: 0
References: 18

Abstract

The traditional pharmacy intravenous admixture services (PIVAS) faces challenges in the efficiency and accuracy of medical order processing. This study proposes and evaluates a novel PIVAS quality and safety management system integrating 6S management with a Graphical Evaluation Review Technique (GERT) and Interval Rough Number (IRN) model. The GERT-IRN model demonstrated low computational load (14.6 MFLOPs), high accuracy (98.65%), and high recall (96.0%) in simulation and clinical tests. More importantly, a two-month clinical trial at a certain hospital (n=63,182 orders) confirmed its real-world effectiveness. The system increased the interception rate of unreasonable medical orders to 95.9% (95% CI 95.4–96.4%), successfully blocking 9 high-risk contraindications missed by manual review. Furthermore, it dramatically reduced the cytotoxic drug dispensing timeout rate from 18.3 to 4.1% ( p < 0.001), a 77.6% improvement. Overall, the optimized PIVAS system enhances the efficiency, safety, and effectiveness of patient medication, providing strong technical support for the intelligent improvement of medical quality.

Fields of Study & Subjects

Intravenous Infusion Technology and Safety Patient Safety and Medication Errors Healthcare Operations and Scheduling Optimization

Publication details

Journal / source
Discover Applied Sciences
Volume
8
Issue
1
Publication date
5 January 2026
Language
EN