Digital patient: Personalized and translational data management through the MyHealthAvatar EU project

• Main Authors: Kondylakis, Haridimos, Spanakis, Emmanouil G., Sfakianakis, Stelios, Sakkalis, Vangelis, Tsiknakis, Manolis, Marias, Kostas, Xia Zhao, Hong Qing Yu, Feng Dong
• Format: Conference Proceeding
• Language: English
• Subjects: Data models; Data warehouses; Europe; Joining processes; Medical services; Ontologies; Semantics
• ISSN: 1094-687X; 2694-0604
• DOI: 10.1109/EMBC.2015.7318630

The advancements in healthcare practice have brought to the fore the need for flexible access to health-related information and created an ever-growing demand for the design and the development of data management infrastructures for translational and personalized medicine. In this paper, we present the data management solution implemented for the MyHealthAvatar EU research project, a project that attempts to create a digital representation of a patient's health status. The platform is capable of aggregating several knowledge sources relevant for the provision of individualized personal services. To this end, state of the art technologies are exploited, such as ontologies to model all available information, semantic integration to enable data and query translation and a variety of linking services to allow connecting to external sources. All original information is stored in a NoSQL database for reasons of efficiency and fault tolerance. Then it is semantically uplifted through a semantic warehouse which enables efficient access to it. All different technologies are combined to create a novel web-based platform allowing seamless user interaction through APIs that support personalized, granular and secure access to the relevant information.