Martin Sedlmayr

In November 2015 the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) has announced the “Medical Informatics Funding Scheme” (Medizininformatik-Initiative, MI-I), to foster IT innovations for healthcare research and medical care. The goal is to take advantage of digitalization in medicine, to link data and generate medical knowledge, and to develop and apply innovative IT solutions for a better, data-based healthcare delivery… Mehr anzeigen

In November 2015 the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) has announced the “Medical Informatics Funding Scheme” (Medizininformatik-Initiative, MI-I), to foster IT innovations for healthcare research and medical care. The goal is to take advantage of digitalization in medicine, to link data and generate medical knowledge, and to develop and apply innovative IT solutions for a better, data-based healthcare delivery system.

MIRACUM – this is eight universities with eight university hospitals, two universities of applied sciences and one industrial partner spread over five German states. In July 2017, the BMBF announced that MIRACUM (Medical Informatics for Research and Care in University Medicine), as one of four consortia, receives funding of €32 Mio to implement the envisaged projects. The spotlight is here on the data integration centres that will be embedded in the hospital IT-infrastructure and will facilitate the collection and exchange of data within the consortia university hospitals. Three use cases shall prove the effectivity of the innovative infrastructure with direct and prompt improvement of patient care. Data protection and data security are given top priority in this venture. Further we will elaborate a programme for strengthening medical informatics by extending the academic offer, including new professorships in the field of medical informatics, a novel, innovative master programme and personnel training.

The MIRACUM partners have agreed to share data, based on interoperable data integration centres, develop common and interoperable tools and services, realize the power of such data and tools in innovative IT solutions, which shall enhance patient-centred collaborative research as well as clinical care processes, and finally to strengthen biomedical informatics in research, teaching and continued education. Weniger anzeigen

Building an inventory of clinical data and terminologies to harmonize patient data for value added services. Data types included comprise structured data, unstructured data (free-text), images and omics-data (genomics etc.). Big data technologies such as Hadoop and Spark will be employed next to "conventional" clinical warehouses such as i2b2 and tranSMART are employed to build services and apps based on this integrated pool.

ProHTA provides a comprehensive methodological framework for the early assessment of emerging health technologies and personalized strategies in vascular diseases and cancer.
In order to assess the potential of medical technologies during the conceptual development phase, ProHTA combines the tools of public health, health technology assessment (HTA), epidemiology, mathematical decision modeling, economic evaluation and health informatics.

Secondary use of health data using natural language processing and cloud technologies.

The eHealthMonitor project provides a service-oriented platform used in the process of generating a Personal eHealth Knowledge Space (PeKS) as an aggregation of all knowledge sources relevant for the provision of individualized personal eHealth services. The platform supports end users in two hospital-based scenarios – covering dementia and cardio-vascular domain as well as one prevention-based scenario in the health insurance domain.

Opal Health built a wireless sensor network as common platform for various clinical uses: asset management, blood bag tracking and matching. It was trialled using more than 500 mobile and fixed nodes.