RxTrends:一个基于R的闪亮应用程序,用于可视化爱尔兰处方药的开放数据
Ahmed Hassan Ali1, Michelle Flood1, Ciara Kirke2
1School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland (RCSI) University of Medicine and Health Sciences, Dublin, Leinster, Ireland.
HRB open research
|June 4, 2025
概括
一个基于R的Shiny应用程序可视化了爱尔兰处方数据,使药物使用趋势和药物政策的交互分析成为可能. 该工具提高了研究人员,医疗保健专业人员和决策者的数据可访问性.
科学领域:
- 医疗信息学 医疗信息学
- 制药政策 制药政策
- 数据可视化 数据可视化
背景情况:
- 爱尔兰的卫生服务行政部门 (HSE) 每月发布有关处方发行索赔和社区药物计划支付的报告.
- 对这些报告的分析对于了解药物处方趋势和为卫生政策提供信息至关重要.
研究的目的:
- 描述基于R的Shiny应用程序的开发和实施,用于对HSE处方数据的交互分析.
- 通过改进可视化和趋势分析,增强处方数据的实际价值.
主要方法:
- 从通用医疗服务 (GMS) 计划中使用的初级保健报销服务 (PCRS) 数据.
- 开发了一个基于R的Shiny应用程序,用于分析常见药物和治疗组的2016年至2024年10月的每月处方和成本数据.
- 使用各种R包进行交互式探索,并比较随时间推移的处方和成本趋势.
主要成果:
- RxTrends Shiny应用程序提供了药物,治疗群体和生理系统的分发趋势的交互可视化.
- 功能包括在选定的时间段中比较处方和成本指标,并分析特定类别内的药物使用比例.
- 与爱尔兰的首选药物倡议,仿制药的可用性,参考价格和药物的季节性相关的使用案例.
结论:
- RxTrends应用程序提供了一个交互式平台,用于使用PCRS数据可视化和监控处方模式.
- 它显著改善了研究人员,医疗保健专业人员,决策者和公众对有价值的医疗保健数据的访问和可用性.
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