The Medical Valley Europäische Metropolregion Nürnberg and d.hip (Digital Health Innovation Platform) had organized a clinical data day on Wednesday, December 18th 2019 in Erlangen. Ulli Prokosch and Detlef Kraska used this opportunity to prese
On 2 December 2019, the Japanese-German-French Forum on AI and Healthcare took place in Tokyo. This event, organized by DWIH Tokyo, focused on Artificial Intelligence (AI) applications and national approaches to data sharing in healthcare. During
Within the cooperative effort between the Comprehensive Cancer Center Erlangen-EMN (CCC EMN), the Medical Information and Communication Center of the University Hospital Erlangen and MIRACUM, the "Zentrales Studienregister" was launched recently. W
This year the MEDICA again took place in Düsseldorf from 18th to 21st November. Visitors to the largest international medical trade fair were able to inform themselves about the Medical Informatics Initiative and the individual consortia at the
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.