Project: CORONA ANALYTICS SERVICE (CAS)
In the current challenge of the global corona pandemic, we want to contribute our expertise in data analysis to help overcome it.
To achieve this goal as quickly as possible, the Corona Analytics Service (CAS) has been developed in cooperation between GCAM and the consulting firm INFOMOTION. With the two components, the Analytics Dashboard and the Analytics Service on Request, added value is created from the data, which benefits individuals, organizations and the society. The Analytics Service on Request offers organizations, who want to make their own contribution to overcome the crisis, be it through concrete products or also in the sense of a more sustainable education through the press, individual, advanced Corona analyses customized to their needs.
For those seeking information and visualization of the pandemic’s key figures, the interactive Public Corona Analytics Dashboard provides information about the highly dynamic development of the Covid 19 pandemic. Therefore, the data collected by Johns Hopkins University and the Robert Koch-Institute is integrated and analysed to provide an overview of the worldwide development of infection rates, deaths and recoveries as well as other more detailed analyses.
Project: M²OLIE
The “Mannheim Molecular Intervention Environment” -(M²OLIE)- Research Campus is currently one of nine funded research projects that were awarded a prize by the German Federal Ministry of Education and Research on 25th September 2012 as part of the "Research Campus - Public-Private Partnership for Innovation" competition. In June 2019 M²OLIE started the second funding phase (2019-2024).
The goal of M²OLIE is the establishment of a patient-centered and time-optimised infrastructure for innovative tumour therapies by means of molecular intervention within the framework of a one-stop shop.
In a multidisciplinary development centre with partners from industry, research and public life, new procedures for molecular imaging, diagnostics and therapeutic intervention of oligometastasized patients in everyday clinical practice are being developed in three collaborative projects. In order to ensure the efficiency of the treatment in a smooth closed-loop process, a process model and a clinical trial management system are being set up at the same time to establish the organisational procedures. This will ensure that the entire process from patient admission, through diagnostics to the final therapeutic measure and discharge of the patient can be carried out in the shortest possible time.
The M²OLIE Closed-Loop Process starts with patient admission (top left). This is followed by the creation of the electronic M²OLIE patient file using the patient data from MIRACUM and a takeover by the automated process management with iterative passing through different treatment stages (multimodal (pre-)interventional imaging, automated biopsy, molecular biopsy analysis, personalized minimally invasive therapy). The final therapeutic decision is made by the ad-hoc tumor board (top middle) is based, among other things, on the proposal of the digital expert system. The patient leaves the closed loop due to discharge without or with subsequent drug therapy (top right). The blue bachground area symbolizes the “data lake”, in which all data is stored, processed and made available on demand.
GCAM is responsible for the development of the "Data Lake" within the M²OLIE project. In the first funding phase the conception of the data platform was carried out under the strict requirements of an application used in the medical field. In the current second funding phase, the technical implementation is taking place. All relevant basic clinical systems will be connected for the development of the Data Lake as an integrated database for all process participants.
In the first step of the implementation, interfaces for the two medical data standards - HL7 and DICOM - were included in the "Data Lake".
Project: Hepatocellular Carcinoma (HCC)
The first project, and thus the starting point for GCAM's data management, deals with hepatocellular carcinoma (HCC), the liver carcinoma. In cooperation with the University Medical Centre Mannheim, the entire clinical process from diagnosis to aftercare is analysed jointly by doctors and the data experts at GCAM in order to determine how the data can be used.
The GCAM experts will then begin to retrieve the process data from the different sources and bring them together at a central location. In close consultation with the physicians, the analysis methods and results as well as the course of the project - especially in terms of content - are regularly reviewed, questioned and adjusted. At the end and as a result of a first run, the medical staff of the University Medical Center Mannheim have structured, integrated insights into the entire clinical course of diagnosis and treatment at their disposal. Furthermore, there is also the possibility to analyze the wealth of data and to gain new insights from it. Subsequently, new insights can be gained from the complete data stock using innovative methods such as machine learning, which would otherwise have remained hidden from observation with classical analysis methods.