Precision Health Informatics

4 Credits · Level: Graduate

This course is designed to provide fundamentals of current computational approaches to support and enable Precision Medicine through data management, analysis and visualization. The successful implementation of precision medicine initiatives requires professionals who are well-versed in informatics. According to recent publications a closer look at strategic plans focused on research and clinical implementation of precision medicine efforts revealed significant gaps in expertise that impacts the ability of a health system to relate genomic data to better health outcomes. Clinical and biomedical informatics, with their focus on how information is collected, stored, analyzed and disseminated, are two important areas for the advancement of precision medicine. Providing data that has clinical relevance on a patient specific level as well as presenting that data in a way that makes it easier for physicians to interpret and use it in their decision-making process, informatics is essentially the engine that will power precision medicine into widespread adoption. This course covers the two broad focus areas: Precision Medicine in the context of Molecular Medicine and genomic technologies, and Precision Medicine in the context of data analytics integrating clinical data with genotype or other biomarker type data. Course details: this course will consist of 4 modules, quizzes and final exam. Modules include: Precision Medicine fundamentals: concepts and approaches; Molecular Diagnostics: major technologies, platforms, resources and providers; Data Commons: on-line resources and tools for large scale Big Biomedical data; Data Analytics solutions for Precision Medicine.