Description
Develops specifications for an open, neutral, distributed, and secure data exchange system built on MII infrastructure. Focuses on defining protocols and data formats enabling semantically interoperable peer-to-peer sharing of multimodal healthcare data for remote AI inference applications.
Objectives
1.
Open access publication of a whitepaper on an open, fair, distributed, and secure data exchange for remote medical AI services.
2.
Publication of an iteratively created OMI FHIR Implementation Guide on a suitable platform (e.g. Simplifier.net).