Institute of Medical Informatics, Statistics and Epidemiology

The institute is conducting methodical and applied research.

In medical informatics, our focus lies on digital medicine, big data in medicine, translational information processing and information integration. Closely related to this, a further focus of the institute is information security and data protection.

In statistics, we work on prognostic factors, therapy research, clinical studies, statistical genetics and epidemiology.

The institute isactive in several major projects:

The Institute coordinates DIFUTURE , which is funded under the “Medical Informatics” funding scheme of the German Federal Ministry of Education and Research BMBF  (total funding of DIFUTURE: 30.8 M Euro, 2018-2021).  DIFUTURE aims at data harmonization and integration, and on secure data sharing.

In  CRC 1321, the institute is using and further developing elements from DIFUTURE for data integration and analysis for research on pancreatic cancer.

Further projects using concepts and solutions developed by the institute or/and by DIFUTURE are

CRC 1371

Cluster of Excellence SyNergy

There are open source software packages resulting from the work of the institute.

DIS (for Data Integration System, see  "Data Integration for Future Medicine (DIFUTURE)") is a system for data integration, secondary use, and biosample management which has received broad adoption.

ARX (see "ARX - A Comprehensive Tool for Anonymizing Biomedical Data" ) provides a nationally and internationally used toolset for health data anonymization and privacy risk assessment. It originated from a cooperation between TUM’s chairs for medical informatics, information security and database systems between 2011 and 2013. Since 2013, the software is being maintained and further developed under the leadership of IMedIS.

Between 2010 and 2015, the institute led the structural project “Data Integration System” (DIS) of the BMBF-funded leading edge cluster m4. Its underlying ethics and data protection concept has been approved by three ethics committees (TUM, LMU, Bavarian Medical Association), and it has been reviewed by the data protection officer of Bavaria (BayLfD). Today, the solutions developed are available as open source software with commercial support (see above, DIS). From 2012 until 2015, the institute participated in the FP7 project BioMedBridges, which aimed at building data bridges over twelve biomedical sciences research infrastructures of the ESFRI roadmap. Among other, IMedIS focussed on secure data sharing for personalized medicine. In the preparatory phase of BBMRI and in the context of BBMRI-LPC (2013-2017), the institute implemented solutions supporting access to biosamples (see "Comprehensive catalog of European biobanks").