Emerging and novel high throughput technologies, such as genomics, can provide large amounts of relevant data and detailed molecular characterization for each patient. The amount of relevant information is so large that the choice of selecting the right treatment algorithm for the patient is difficult. The aim of BIGMED is to lay the foundation for an ICT platform that addresses the analytic bottlenecks for the implementation of precision medicine to improve patient outcomes. BIGMED will develop novel solutions for (i) bioinformatics genome analysis; (ii) integrated analysis of electronic health record information with genomic data and structured and unstructured background information; and (iii) big data analytics that can extract and analyze relevant information; BIGMED will in this way provide physicians currently facing data overload with much needed assistance in their decision making. The BIGMED consortium comprises an interdisciplinary team of experts in clinical medicine, genomics, bioinformatics, informatics, law and health economy as well as highly qualified industrial partners with cutting edge expertise in relevant fields with a common vision of becoming a world leading enabler of precision medicine. BIGMED is implemented following a carefully defined work plan. The initial development is hosted in a secure lab where sensitive data can be legally accessed, thus bypassing the data access hindrance that often impedes innovative ICT development in healthcare. The project addresses in depth legal, economic and technology barriers for an industrial implementation of BIGMED at large, and pilots an initial deployment within a controlled clinical setting.
Project leader: Vibeke Binz Vallevik
Category: Helse Sør-Øst RHF
Institution: OSLO UNIVERSITETSSYKEHUS HF