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

NIH RePORTER · NIH · U2C · $911,876 · view on reporter.nih.gov ↗

Abstract

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.

Key facts

NIH application ID
10690302
Project number
3U2CHL156291-03S2
Recipient
CHILDREN'S HOSP OF PHILADELPHIA
Principal Investigator
Robert J Carroll
Activity code
U2C
Funding institute
NIH
Fiscal year
2022
Award amount
$911,876
Award type
3
Project period
2020-09-26 → 2025-08-31