Over the next ten years, the MIRACUM site in Dresden will receive a total of 40 million euros for the establishment of the Else Kröner-Fresenius Centre for Digital Health. In addition to the University Hospital and Medical Faculty of Dresden, the a
In a dedicated MIRACUM workshop as part of the GMDS 2019 conference program the MIRACUM team presented its current status and development plans of DIZ components. The presentations focused on the general DIC concept, the XNAT research image reposito
New Institute – New Head
We are pleased to announce that the Albert-Ludwigs University in Freiburg has approved the appointment of Dr. Dr. Melanie Börries as W3 Professor of Medical Bioinformatics on May 31st, 2019. As of June 1st, Professor
Another step in health care research: German Federal Ministry of Education and Research (BMBF) to fund Nationwide Registry for Recurrent Urolithiasis
Urinary stone disease is a widespread disease with a high recurrence rate. Covering a period o
Many clinical studies fail in the very beginning due to insufficient patient recruitment numbers. To improve this process with IT solutions and available routine data, we will integrate recruiting platforms in the CIS infrastructure of the MIRACUM university hospitals. Regular evaluation and feedback loops help to increase the quality and completeness of the required data elements.
MIRACUM Data Integration Centres enable the identification and stratification of patient cohorts based on clinical parameters, biomarkers, and molecular/genomic data to develop predictive models. Such models support physicians in diagnostic and therapeutic decisions by SMART apps based on FHIR. A first focus will be on Asthma/COPD as well as brain tumour cases.
Precision medicine enables individualized cancer therapies, as many tumors can be characterized by so-called “driver mutations” that trigger different therapeutic routes. Such complex genetic information, together with other data from the patient record and imaging, are summarized in molecular tumor boards. MIRACUM will support and optimize the process of quality assurance, data processing, and data integration and deliver innovative tools to support clinicians by efficient visualization in making right decisions.