<p>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% (<i>p</i> &lt; 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.</p>

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

  • Run Wang,
  • Qi Wang,
  • Li Guo,
  • Ying Sun,
  • Hui Meng

摘要

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.