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IKTPLUSS-IKT og digital innovasjon

Personalized and cost-effective health care through innovative use of big data and cognitive computing

Awarded: NOK 0.50 mill.

Project objectives: Personalized medicine enabled by big data in a cognitive computing approach will be studied and clinically verified in four groups of patients: Monogenic disorders, sudden cardiac death, colon cancer with liver metastasis and lung cancer. The project will identify cancer patients who will receive actionable and targeted molecular treatments prolonging life expectancy and improving quality of life for large groups of patients. This will translate into lowered diagnostic and treatment health care costs for the society and higher success rate for large patient groups. For patients with monogenic disorders the implementation of genomics and associated IT decision support tools will help eliminate the "diagnostic odyssey" characteristic of today´s practices. An accurate genetic diagnosis will help identify possibilities for preventive health care and in all cases lead to more precise prognosis. The opportunity to provide life-saving therapy for cardiac disease is enabled by the combination of genomics, electronic health records, imaging, clinical data and Norwegian registries. The project will involve leading international research institutions and enterprises that will have a long-term positive impact beyond this specific project. R&D challenges: As an ever-larger amount of data from multiple sources and in multiple formats are digitized and travels across organizational boundaries, there is a set of complex technology, policy and legal issues that need to be solved in order to manage big data. In healthcare, these issues are further aggravated by privacy and liability concerns, and by the need of clinicians to trust the information displayed in integrated information systems. The project will therefore also address the legal and health economy issues raised by the project

Funding scheme:

IKTPLUSS-IKT og digital innovasjon