Single nucletide polymorphism (SNP) data integrated electronic health record (EHR) for personalized medicine

Beyan, Timur
The digital age is revolutionizing the old and historical population-based healthcare paradigm towards personalized medicine. Traditional diagnostic approaches fail to define treatment response or prognosis. Focusing on manifest symptoms often hides risk factors and, so prevention opportunities of diseases disappear. Today, it's known that most of the complex diseases are result of interaction of genomic, environmental and behavioral factors and personalized medicine is defined as the use of these data to determine individual patterns of disease. Personalized medicine aims to deliver a more accurate representation of medical conditions that are multidimensional, predictive, preventive, pharmacologically effective, person-centered, and individualistic services. However, reach personalized medicine opportunities, it's an obligation to extend current Electronic Health Record standards and capabilities to support genomic data in healthcare settings. In this thesis, we developed genomic sequence variation data integrated capabilities for personalized medicine practices based on an integrative approach which will allow us to use genome-wide SNP profiling data and disease models within electronic/personal health records to support knowledge based systems. Finally, developed capabilities were represented and assessed for prostate cancer in a data set as a pilot study.
Citation Formats
T. Beyan, “Single nucletide polymorphism (SNP) data integrated electronic health record (EHR) for personalized medicine,” Ph.D. - Doctoral Program, Middle East Technical University, 2014.