The MES-CoBraD Platform architecture will be guided by the requirements identified by involved stakeholders and will be developed according to the derived technical and functional specifications. The Platform will be designed to be as generic as possible, to satisfy multiple conditions and boost reusability and replicability of results. This approach will provide important contributions to the fields of digital transformation of health care and data fusion and analytics for research and public health purposes.
The MES-CoBraD Platform will leverage:
• open standards and protocols and open-specification components, ensuring no-vendor lock-in, by using FIWARE Generic Enablers &implementations delivered throughDigital Enabler, Engineering’s Ecosystem Platform;
• the definition of a common and standard-based data framework for ensuring interoperable, secure and privacy-preserving access to the heterogeneous data collected and smooth API-based data exchange with external systems;
• the use of easily configurable and customizable dashboards based on advanced data-visualization charts and maps;
• the use of preconfigured exploratory data analytics to facilitate even non-tech-savvy stakeholders in easily, with no effort, extracting value from the collected data;
• machine learning as a service approach that will boost reusability of the produced data and models;
• time-series analysis as an analytic technique devised to manage repeated measures data with proven value in health care settings and especially the support of chronic diseases.
The development, integration and deployment process of MES CoBraD platform will be based on a DevOps approach, ensuring continuous, efficient and high-quality delivery of the MES CoBraD architecture throughout the project lifetime. The MES-CoBraD conceptual architecture is built upon three architectural layers, namely the Data Lake, responsible for channelling data sources upstream into the Data analysis layer, where the data mining and Machine Learning techniques are used to deliver added value insight and analysis, and the Data Presentation layer, which is the first and foremost module used by users and stakeholders, willing to operatively access the MES-CoBraD services. This layer will efficiently exploit the data of the platform in order to support decision makers and stakeholders to take effective and evidence-based decisions. An additional transversal layer provides security and privacy features to the whole architecture.
Through this approach and the combined technologies outlined above, the consortium will be able to develop the overall MES-CoBraD integrated solution aiming at a trial. The driving technologies behind each element are proven through separate already existing applications or services that the technical partners of the consortium have developed and are either already on the market, though in different fields of interest, or are at an early stage of development and will further advance through the project.