医疗补助JS:一个公平的实时药物分析方法
Kunaal Agarwal1, Hae Rin Kim1, Jonas S Almeida1
1Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, Rockville, MD 20850, United States.
Bioinformatics advances
|December 11, 2023
概括
随着处方药成本的上升,需要实时跟踪. 一个新的JavaScript SDK (软件开发套件) 简化了从FDA,Medicaid和NLM API获取药品定价和指标数据的访问,提高了数据互操作性.
科学领域:
- 医疗信息学 医疗信息学
- 药品数据管理 药品数据管理
- 软件开发 软件开发
背景情况:
- 处方药价格大幅上,创造了对可访问,实时药物追踪工具的需求.
- 现有的资源往往呈现药物数据复杂的命名和有限的互操作性,阻碍用户访问.
- FAIR数据原则 (可查找性,可访问性,可互操作性,可重复使用性) 强调需要标准化科学数据管理.
研究的目的:
- 从多个政府数据源开发一个程序化解决方案来访问和合成药物指标.
- 创建一个软件开发工具包 (SDK),克服现有的药品价格跟踪应用程序的局限性.
- 确保药物数据遵守FAIR原则,以改善科学数据的管理.
主要方法:
- 开发了一个JavaScript SDK (MedicaidJS) 来直接与来自FDA,Medicaid和国家医学图书馆 (RxNorm) 的REST API接口.
- 编排的API调用将这些互补资源的数据汇总起来.
- 将不同的数据合成为用于Web应用程序的零足迹JavaScript模块化库.
主要成果:
- 该MedicaidJS SDK提供数据纠纷,分析和生成交互式可视化.
- 该SDK返回结构化的JSON数据与标准化的标识符,增强互操作性.
- 它作为一个模块化库,不需要在Web应用程序中下载或安装.
结论:
- 医疗保健JS SDK提供了一种简化的方法来访问和利用复杂的药物指标数据.
- 它提高了数据的可查,可访问性和互操作性,与FAIR数据原则保持一致.
- 该SDK使开发人员能够有效地将实时药物信息集成到Web应用程序中.
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