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Advancing clinical research by semantically interconnecting aggregated medical data information in a secure context (2018)

Antoniades, Athos; Aristodimou, Aristos; Georgousopoulo, Christos; Forgó, Nikolaus; Gle...

Advancing clinical research by semantically interconnecting aggregated medical data information in a secure context (2018)

Antoniades, Athos; Aristodimou, Aristos; Georgousopoulo, Christos; Forgó, Nikolaus; Gledson, Ann; Hasapis, Panagiotis; Vandeleur, Caroline; Perakis, Konstantinos; Sahay, Ratnesh; Mehdi, Muntazir; Demetriou, Christiana A.; Strippoli, Marie-Pierre F.; Giotaki, Vasiliki; Ioannidi, Myrto; Tian, David; Tozzi, Federica; Keane, John; Pattichis, Constantinos

Abstract:

Electronic Health Records (EHRs) contain an increasing wealth of medical information. When combined with molecular level data, they enhance the understanding of the underlying biological mechanisms of diseases, enabling the identification of key prognostic biomarkers to disease and treatment outcomes. However, the European healthcare information space is fragmented due to the lack of legal and technical standards, cost effective platforms, and sustainable business models. There is a clear need for a framework facilitating the efficient and homogenized access to anonymized distributed EHRs, merged from multiple data sources into a single data analysis space. In this paper we present the outcomes of Linked2Safety, a project that proposes a solution to these problems by providing a semantically interconnected approach to sharing aggregate data in the form of data cubes. This approach eliminates the risks associated with sharing pseudoanonymized (and therefore still personal) data while...