Open Medical Interference (OMI)
Innovative IT solutions to improve medical care and the cross-location use of digitized health data
Innovative approaches to improving the health care system
Innovative IT solutions can make a decisive contribution to improving patient care. Countless amounts of data are collected every day in clinics, doctors’ surgeries and in research. This data forms a significant treasure trove that can only be used for research nationwide if the data formats and IT systems fit together.
This is where the BMBF comes in with the Medical Informatics Initiative (MII). The aim of the OMI method platform is to make artificial intelligence (AI) applications usable for the analysis of medical image data across all locations. This enables hospitals to use AI from other institutions without having to maintain their own data centers.
Project-related funding code: 01ZZ2315A-P
Participation of the MOLIT Institute
MOLIT plays a leading role in the specification, which is located in work package (WP) 1 and is the responsibility of Dr. Stefan Sigle as Principal Investigator (PI). In addition, MOLIT is involved in WP 5 under a shared lead. This involves connecting the OMI infrastructure to the university data integration centers (DIZ).
MOLIT OMI Team
Dr. Stefan Sigle
Principal Investigator
Kevin Kaufmes, B.Sc.
Research associate
Georg Mathes, B.Sc.
Research associate
Key points
of the OMI initiative
Connecting Data
OMI networks health data from various sources.
This facilitates the exchange and use of data across locations, which improves patient care.
Artificial Intelligence
OMI uses AI to analyze medical images.
Hospitals can use
AI tools from others without needing their own systems.
Secure Connections
OMI ensures secure connections for data transmission.
This protects sensitive data and strengthens trust between facilities.
Timeline
Current milestones and results
Contact
For further information or
if you have any questions, please contact
Dr. Stefan Sigle
Head of Data Science & AI
Mail Stefan.Sigle@molit.eu
Phone 07131 / 13345-42