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Improving medication safety and efficiency in hospital pharmacy through a pharmacist-led, low-code mobile
Bin Li1, Xin Chen1, Lijuan Xiong1
1Department of Pharmacy, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
A pharmacist-led, low-code mobile app significantly improved hospital pharmacy inventory management, reducing errors and boosting efficiency. This approach reallocated pharmacist time to clinical duties, enhancing patient care.
Area of Science:
- Health Informatics
- Pharmacy Management
- Software Development in Healthcare
Background:
- Traditional hospital pharmacy inventory management is inefficient and prone to errors, impacting patient safety.
- Low-code platforms offer potential for clinical software development, but require rigorous evaluation.
- Assessing the impact of a pharmacist-designed, low-code mobile application on pharmacy operations is crucial.
Purpose of the Study:
- To evaluate the impact of a pharmacist-led, low-code mobile inventory application on operational efficiency, accuracy, and labor allocation in a hospital pharmacy setting.
- To determine the effectiveness of a novel approach to inventory management using agile development principles.
- To assess the potential for scalability and cost-effectiveness of this digital health solution.
Main Methods:
- A prospective observational study was conducted over 12 months in a large tertiary hospital.
- Pharmacists utilized a low-code platform to develop and refine a mobile inventory application through agile sprints.
- Key performance indicators included inventory cycle time, error rates, stock variance, and labor allocation, analyzed using statistical comparisons and simulation.
Main Results:
- Average weekly inventory cycle time decreased by 60.3% (p < 0.001).
- Inventory error rates dropped by 75.9% (p < 0.001), with stock variance also significantly reduced.
- Manual task time decreased by 67.4%, reallocating substantial pharmacist hours to clinical activities.
Conclusions:
- The pharmacist-led, low-code model significantly enhanced pharmacy inventory management efficiency and accuracy.
- This approach facilitates healthcare digitization by leveraging domain expertise for scalable, cost-effective solutions.
- The study demonstrates a successful framework for improving operational workflows and clinical time in hospital pharmacies.
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