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Christos Georgousopoulos , INTRASOFT. Overview. Rationale/Project Context Project Objectives and Approach Innovation areas Expected Outcomes Consortium and Partners’ Roles Work-plan and progress overview. Rationale. I ncreasing wealth of medical information
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Overview • Rationale/Project Context • Project Objectives and Approach • Innovation areas • Expected Outcomes • Consortium and Partners’ Roles • Work-plan and progress overview
Rationale • Increasing wealth of medical information • Fragmented European healthcare information space • Electronic Health Records (EHR): valuable source of information, but not applied common standards and interoperability, no optimal use • Clinical research on isolated knowledge islands that lack: • early detection of patients’ safety issues • environmental and genetic factors associated with adverse events • identification of a suitable critical mass of patients to participate in clinical trials
Objectives • to build the next-generation, semantically-interlinked medical information space in the enlarged Europe • to leverage the reuse of EHRs in clinical research, towards the early detection of potential to patients’ safety issues • to support sound decision making towards the effective organization and conduction of clinical trials • to validate and evaluate the Linked2Safety results though a set of clinical research showcase
Approach Front-end Data Analysis Space Linked Medical Data Space Interoperable EHR Data Space Conversion of data Page 6 Legacy clinical repos
Main Innovation Areas Knowledge Advancements in: • EHR / EDC Semantic Interoperability, Ontologies & Models e.g. support and promote the semantic interoperability between various EHR standard based on openEHR • Linked Medical Data Space e.g. deal with privacy and access mechanisms in Linked Data and deliver a secure and role-based accessible Linked Medical Data Cloud • Personal Data Privacy and Protection e.g. introduction of data-cube approach to ensure the safeguarding of clinical data • Medical Data Mining for Early Adverse Events Detection e.g. utilize decision trees, random forests and association rule mining algorithms • Genetic Analysis e.g. quickly replication of other studies designed to identify genetic predisposition to specific diseases • Patients Safety in Clinical Trials e.g. examine associations between the use of drugs and adverse events
Expected Outcomes (1/2) • open, generic Linked2Safety Reference Architecture and Linked2Safety Semantic EHR Model • innovative Linked2Safety Data Privacy Framework and sustainable Linked2Safety Organizational, Data Governance and Business Model • scalable, modular and extensible Linked2Safety Platformcomprised of : Interoperable EHR Data Space, Linked Medical Data Space,Data Analysis Space
Expected Outcomes (2/2) • a set of Linked2Safety Clinical Research Showcases • the Linked2Safety Methodology • wide-scale dissemination and exploitation of the project results, Clinical Research Trials and Patients Safety Special Interest Group
Work-plan Overview 1st Reporting Period • Today 1 2 3 4 –
Progress overview… at a glance • WP1: Delivery of state-of-the art, requirement analysis, and architectural specifications • WP2: • Review of EU legislative framework, and adaptation of architectural specs • Base establishment of Data privacy framework and consent forms • WP3-4-5: Finalisation of architectural designs, and Preliminary prototype implementations (at design & s/w level) • WP7: Preliminary work on availability of data & pilot showcases • WP8: • Dissemination of intermediate results • Establishment of synergies, contribution to standardisation initiatives • base establishment of market analysis, IPRs & exploitation business plan
Who to Contact • Christos Georgousopoulos • email: christos.georgousopoulos@intrasoft-intl.com