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OPEN
MEDICAL
INFERENCE






"Unlocking the Power of Medical AI and Leading the Digital Healthcare
Revolution: OMI serves as the gateway to remote AI services, redefining
healthcare through open protocols and cutting-edge AI models. Join us in shaping
the digital future of healthcare!"



The partners




OUR PROJECT AND OUR VISION




The open medical inference (OMI) methods platform will enable the discovery and
use of remote AI services. OMI will specify open protocols and data formats for
the semantically interoperable peer-to-peer exchange of multimodal healthcare
data and remote AI inference. We will establish an initial selection of
services, focusing on image-based multimodal AI models.

OMI’s open protocol for data exchange will build on the data sharing common
framework across Medical Informatics Initaitive (MII) consortia. To maximize
interoperability, we will actively participate in the MII WG Interoperability
(WG IOP), specifically in the development of the specification and
implementation guideline for the medical imaging extension module of the MII
core data set. With OMI, we will establish a link between FHIR and DICOM via
FHIR endpoint definitions of DICOMwebTM-capable DICOM nodes.

OMI will provide a generic open-source gateway component that enables RESTful
access to legacy PACS at all partner DICs via a subset of the DICOMwebTM API
specification. OMI components include a gateway server to connect AI services to
the MII DSF, a client to enable DICs and data management service providers to
access OMI gateway servers, and a service registry to discover and check the
status of connected AI services.

We will ensure the seamless integration of OMI with the MII by a) integrating
existing MII structures and concepts b) using local MII data integration center
components (e.g. pseudonymization services and consent management) and c) using
open standards while focusing on simple, modern, and common technologies such as
REST, TLS, FHIR, and DICOMwebTM. This design will keep entry-barriers at a
minimum. Our project partners will establish a network of service recipients and
service providers in the final project phase. We will test the functionality,
security, and usability of the OMI specification and reference architecture.

OMI is one of the MII use cases in the extension phase and is funded by the
German Federal Ministry of Education and Research (BMBF) with more than 8
million euros from 01.07.2023 to 30.06.2027. In this cross-consortium project
OMI, 16 partners from the four medical informatics consortia DIFUTURE, SMITH,
HiGHmed and MIRACUM are working together to establish a network of users and
providers of AI models to simplify the use of artificial intelligence in
performing time-consuming and repetitive tasks in medicine. The project is
coordinated by the University Medical Center Essen.


OMI Consortium

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**Contact us:**
OMI Coordination
University Hospital Essen
Institute for AI in Medicine
Data Integration Center
Girardetstraße 2, 45131 Essen




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