UPRC has been actively invlolved in CrowdHEALTH, undertaking not only the Technical Coordination, but also the various research and development activities of the project. More specifically, UPRC provides Technical Coordination for all the research and development activities, through a single logical view of the technical cohesion of the project. UPRC has reviewed and proposed several changes in the overall work of CrowdHEALTH, so that functional requirements are met, while the flow of information between different work packages, as well as the progress and the prompt delivery of technical reports and data that have been identified as deliverable items in the project are continuously monitored. Therefore, as a Technical Coordinator, UPRC has dealt with the definition of the target conceptual model and the overall architecture, including the functionalities of the different components, as well as the descriptions of the CrowdHEALTH offerings and capabilities. Apart from this, UPRC is the main responsible of the design and development of the Policy Development Toolkit (PDT), which is the front-end interface between the final users and the whole CrowdHEALTH system. To this end, UPRC has participated in the design of the architecture of the tool and in the definition and implementation of all the mechanisms that are used to communicate and integrate the tool with the analytics components and the Datastore. What is more, UPRC has deployed and integrated OpenID Connect, an identity and authorization/delegation framework for the CrowdHEALTH platform, employing an attribute based (ABAC) access control mechanism, whereas for the data anonymization part, it integrated the ARX, an open source anonymization tool. Moreover, UPRC has been actively involved in the Holistic Health Records (HHRs) activities, by contributing to the design activities of the HHR Manager and to the definition of the HHR conceptual model, in particular for what concern the analysis of the BIOAssist, TMU and KI conceptual data schemes, and their mapping to HL7/FHIR. Furthermore, UPRC has worked in the definition of the Data Converter component, mainly in the field of the Structure Mapping Service. Apart from the ICE Data Platform (IDP) tool that performs the structure mapping, UPRC has designed and implemented in parallel a first prototype of the same mechanism, which can perform specific parts of the whole process in a more automated way. Thus, raw-data of any format can be translated into FHIR format based on the syntactic and semantic similarity that exists between the datasets and the HL7 FHIR Resources. Finally, UPRC leads the work of the design and the development of the Plug'n'Play component that is responsible for collecting streaming data from different IoT medical devices, whilst also leads the development of the Sources Verifier component that is responsible for identifying the reliability levels of all the pluggable devices.
University Of Piraeus Research Center