Use Case 1 "Alerting in Care - IT-supported recruitment platforms" aims to expand the MIRACUM DIC to include site-related study registers and other infrastructure components that enable the automated identification of potential study patients and
The year 2021 brought big changes for two of our MIRACUM members, which we can look back on with both a smile and a tear. Prof. Martin Boeker and Dr. Jan Christoph have both left MIRACUM, but will still stay with the MII.
Martin Boeker, former
In the past few years, the medical informatics initiative has achieved important pioneering results on the digitization of healthcare. Successes to date have yet been limited to university medicine environments and university medicine data sharin
In May, the starting signal was given for the next major project within the Medical Informatics Initiative (MII), which aims to promote the integration of data across locations. To this end, 24 university medicine sites nationwide are participating
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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