基于使用新的SMART/HL7批量数据访问标准创建的扁平FHIR文件的高性能计算。
High Performance Computing on Flat FHIR Files Created with the New SMART/HL7 Bulk Data Access Standard.
作者信息
Liu Dianbo, Sahu Ricky, Ignatov Vlad, Gottlieb Dan, Mandl Kenneth D
机构信息
Computational Health informatics Program, Boston Children's Hospital, Boston, MA, USA.
Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
出版信息
AMIA Annu Symp Proc. 2020 Mar 4;2019:592-596. eCollection 2019.
Abstract
The FHIR Bulk Data API is designed to create a uniform capability for population-level exports from clinical systems, into a file format often referred to as "Flat-FHIR." Leveraging the SMART backend services authentication and authorization profile, the approach enables healthcare providers and organizations to define and access cohorts from electronic health records and payor claims data with "push button" simplicity--a substantial advance over the current state, where each site of care needs highly skilled extraction transform and load (ETL) efforts.
摘要
FHIR批量数据应用程序编程接口（API）旨在创建一种统一的功能，以便将临床系统中的人群级数据导出为一种通常称为“扁平FHIR”的文件格式。利用SMART后端服务认证和授权配置文件，这种方法使医疗保健提供者和组织能够以“一键式”的简单方式从电子健康记录和支付方理赔数据中定义和访问队列，这比当前的状态有了实质性的进步，在当前状态下，每个医疗点都需要高技能的提取、转换和加载（ETL）工作。
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