Over a period of three years, the PEAK project (Perspektiven des Einsatzes und Akzeptanz Künstlicher Intelligenz in der Versorgung / engl: Perspectives on the Use and Acceptance of Artificial Intelligence in Healthcare) is researching the views
Under the working title "Interactive generation and simulation of prognostic, personalized digital patient models", the group headed by group leader, Dr. Andreas Rowald, started work at the beginning of October.
The main interest here is the d
The publication of "Prototypical Clinical Trial Registry Based on Fast Healthcare Interoperability Resources (FHIR): Design and Implementation Study" in January 2021 now even received international attention. In July, author Christian Gulden, MIRAC
A wonderful symbiosis of learning and experiencing awaits the participants of the third MIRACUM Summer School, which will take place from 11 to 15 October 2021 on the Edersee. Under the theme „Visible benefits of the MIRACUM project for patient
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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