According to the external auditors, essential foundations and organisational structures have already been created. In addition, the sites have relevant concepts for further development of the data infrastructure, data management and compliance
Networking and harmonisation of infrastructures in collaborative medical research is taking place in a very practical way. The consortium leaders Prof. Dr. Markus Löffler (SMITH) and Prof. Dr. Hans-Ulrich Prokosch (MIRACUM), as well as represent
In the regionally broadcast news program Frankenschau aktuell, Bayerischer Rundfunk reported on 11.11.2021 about the introduction of the Broad Consent of the Medical Informatics Initiative at the Erlangen site (starting at 20:14 min).
We are pleased to announce that Prof. Dr. Thomas Ganslandt has accepted the call as W3 Professor for Medical Data Science at the Friedrich-Alexander-Universität Erlangen-Nürnberg. His appointment by university president Prof. Dr. Hornegger take
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.
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