Open Medical Inference Protocol
Introduction
This is the Implementation Guide (IG) for the Open Medical Inference (OMI) protocol. This IG aims to provide guidance on how to implement inference algorithms such that they can be found, located and requested. To achieve this we rely on the FHIR Standard and its open, well described API.
Executive Summary
The OMI protocol defines data structures and interactions with the OMI-Registry. The following activities are supported by the protocol:
- registration of algorithms,
- search for inference services,
- request inference services,
Figure 1 outlines these activities:
Overview of activities: (1) registration: the service provider (upper) has an algorithm and hardware to process requests from external sources as a service. He provides information about his algorithm in the registry, adds information on how to access this service and gets approved by the registry. The service is now part of the registry and can be found by any user. (2) search and request: a service consumer (e.g. a hospital, but also a medical specialist in private practice) has pictures and additional informaton in his research Picture Archiving and Communication System (PACS) and wants to request a service outside of his institution. He searches for a service within the OMI registry. A service suitable for his data is provided by Hospital 1. He then sends a data bundle to the service provider and receives an asynchronous answer. (3) training an algorithm: a service consumer sends the links on where to access images to the API of Hospital 1. He receives an asynchronous answer provided by the service provider containing the results.
Structure
Further links
- Read our Whitepaper
Authors of this Implementation Guide
- Patrick Werner (MOLIT Institute)
- Stefan Sigle (MOLIT Institute)
- Kevin Kaufmes (MOLIT Institute)
- Georg Mathes (MOLIT Institute)
- Simon Schweizer (University of Heilbronn)
- Liliana Caldeira (Institute for Diagnostic and Interventional Radiology University Hospital Cologne)
- Rene Hosch (Institute for Artificial Intelligence in Medicine)
- Martin Dyrba (German Center for Neurodegenerative Diseases (DZNE))
Contributors
The following persons were part of the workgroup that created this Implementation Guide.
| Site | Name |
|---|---|
| MOLIT | Stefan Sigle, Patrick Werner, Christian Fegeler, Georg Mathes, Kevin Kaufmes |
| TUM | Rickmer Braren, Martin Boeker, Philip Gouder, Peter Pallaoro |
| UKF | Eric Frodl, Andreas Bucher, Marvin Schmidt |
| UKFr | Elmar Kotter, Julius Wehrle, Shura-Roman Stump, Tobias Wieland |
| UKK | Yuanbin Wang |
| UKEr | Hans-Ulrich Prokosch, Thomas Ganslandt |
| UKHD | Marco Nolden, Klaus Meier-Hein |
| HHN | Christian Fegeler, Simon Schweizer |
| UME | Felix Nensa, Obi Pelka |
| UMR | Mathias Manzke, Petra Gröber |
Funding information
This IG is part of the work package 1 of the OMI project and was provided by MOLIT Institute. This project is funded by the BMBF (funding code: 01ZZ2315J). For further information please review the following link