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A Network Visualization Query System for Multidrug Compatibility Based on a WeChat Mini Program: Preliminary
Jianhui Yang1, Xiaoqing Huang1, Shurong Wu1
1Department of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, No.10, Zhenhai Road, Siming District, Xiamen, Xiamen, China, 86 13225928281.
A new drug compatibility query system using network visualization significantly reduces clinician task time for complex medication regimens. This innovative tool enhances efficiency and understanding of drug interactions, though further validation is needed for clinical use.
Area of Science:
- Medical Informatics
- Clinical Pharmacy
- Human-Computer Interaction
Background:
- Intravenous drug incompatibility presents a major medication safety risk, especially with multiple drugs.
- Traditional text-based drug compatibility checks are inefficient and increase clinician workload.
- Network visualization for drug compatibility queries is an underexplored area.
Purpose of the Study:
- To design, develop, and evaluate a novel drug compatibility query system using a WeChat Mini Program.
- To integrate diverse data sources and employ network visualization for complex drug relationships.
- To assess the system's impact on clinical efficiency and user experience.
Main Methods:
- Developed a drug compatibility knowledge base from handbooks and drug labels.
- Created a WeChat Mini Program-based query system with network visualization.
- Conducted a crossover usability study with 36 pharmacists, 6 physicians, and 5 nurses, comparing task completion times and using the Mobile Application Rating Scale (MARS).
Main Results:
- The system significantly reduced task completion times across three scenarios (median savings: 2.85-31.2 minutes).
- Achieved a high mean MARS quality score (3.88/5), with highest marks for functionality (4.21/5).
- User feedback highlighted efficiency gains and intuitive design, alongside a need for data transparency to build trust.
Conclusions:
- Network visualization-based drug compatibility query systems show promise for improving efficiency and mitigating cognitive load in multidrug regimens.
- The system offers potential for at-a-glance understanding of complex drug interactions.
- Formal clinical accuracy validation is essential before widespread bedside implementation.