Akademik Veri Yönetim Sistemi
Studies in Computational Intelligence, cilt.546, ss.315-339, 2014 (SCI-Expanded)
© Springer International Publishing Switzerland 2014.Today, with the technology-driven developments, healthcare systems and services are being radically transformed to become more effective and efficient. Omics technologies along with mobile sensors and monitoring systems are emerging disruptive technologies, which will provide us the opportunities of a paradigm shifting in medical theory, research and practice. Traditional methods are beginning to convert to a new personalized, predictive, preventive and participatory paradigm based on big data approaches. We anticipate that; next-generation health information systems will be constructed based on tracking all aspects of health status on 24/7, and returning evidence based recommendations to empower individuals. As an example of future personal health record (PHR) concept, GO-WELL is based on clinical envirogenomic knowledge base (CENG-KB) to engage patients for predictive care. In this chapter, we present the design principles of this system, after describing several concepts, including personalized medicine, omics revolution, incorporation of genomic data into medical decision processes, and the utilization of enviro-behavioural parameters for disease risk assessment.