Advancing Image Data Interoperability and Standards within an NIH Ecosystem (AIDISNE): A CHOP, FlyWheel, and Seven Bridges Integration Demonstration Project

推进 NIH 生态系统 (AIDISNE) 内的图像数据互操作性和标准：CHOP、FlyWheel 和七桥集成示范项目

• 批准号: 10690302
• 负责人: Robert J Carroll
• 金额: $ 91.19万
• 依托单位: CHILDREN'S HOSP OF PHILADELPHIA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-26 至 2025-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10690302
• 关键词: Address; Architecture; Authorization documentation; Clinical; Clinical Data; Consumption; Data; Development; Ecosystem; Ensure; Fast Healthcare Interoperability Resources; Funding; Future; Genomics; Image; Ingestion; Link; Maps; Process; Publishing; Quality Control; Reproducibility; Research; Resources; Security; Services; Specific qualifier value; System; Translating; United States National Institutes of Health; analytical tool; cloud based; cloud platform; computerized data processing; data access; data ecosystem; data framework; data hub; data interoperability; data quality; data repository; data standards; genomic data; innovation; interoperability; multimodality; parity; working group

PROJECT SUMMARY Our research plan includes three components that address an end-to-end use-case-driven framework that: (1) will demonstrate the ingestion, publishing, and requisition of imaging data by integrating the FlyWheel Platform within the INCLUDE Ecosystem; (2) will provide for platform and workspace interoperability features between CAVATICA and the FlyWheel Platform, and (3) leverage and support the further extension DRS and FHIR to support imaging data in parity and alongside clinical and genomics data within the INCLUDE Data Hub, a FHIR-first portal. The research plan aims to address Imaging Gaps by completing demonstration projects that further define and delineate the extensible requirements for integrating imaging data with existing NIH-funded ecosystems, define minimal interoperability requirements across platforms and workspaces by developing functional implementations, and translating these requirements into best practice through standard development within the NIH Cloud Platform Interoperability (NCPI) effort.

项目概要 我们的研究计划包括三个组成部分，用于解决端到端用例驱动的框架： (1) 将通过集成 FlyWheel 演示成像数据的摄取、发布和征用 INCLUDE 生态系统内的平台； (2) 将提供平台和工作空间的互操作功能 CAVATICA 和 FlyWheel 平台之间的连接，以及 (3) 利用和支持进一步扩展 DRS 和 FHIR，以同等方式支持成像​​数据以及 INCLUDE 中的临床和基因组数据 Data Hub，FHIR 优先的门户。该研究计划旨在通过完成演示来解决成像差距 进一步定义和描述将成像数据与集成的可扩展要求的项目 现有的 NIH 资助的生态系统，定义跨平台的最低互操作性要求， 通过开发功能实现并将这些要求转化为最佳实践来创建工作空间 通过 NIH 云平台互操作性 (NCPI) 工作中的标准开发。