The Clinical Informatics track primarily focuses on the design, implementation, and evaluation of information technologies in the clinical domain. The application of informatics to direct patient care, such as advanced decision support and person-centered health records – is exceptionally well represented in the research of DBMI faculty, providing opportunities to develop research with state-of-the-art applications and real-world settings. This unique learning environment includes readily accessible, large-scale operational clinical information systems in which new scientific hypotheses can be tested and new technologies can be deployed.
The Translational Bioinformatics track focuses on the relationship between molecular (e.g., genomic and proteomic) data and medical outcomes (e.g., clinical phenotypes). The application of informatics to support basic research in such areas as genomics, proteomics, and systems biology is at Vanderbilt closely coupled to the institutional vision for Precision Medicine, in which high throughput molecular measurements (DNA, RNA, proteins) not only are applied for scientific discovery, but also for rapid translation to practice.
The Biomedical Data Science track welcomed its first students in Fall 2016. It should be recognized that Biomedical Data Science, and big data science in particular, is certainly related to the existing training areas, particularly as health information technology evolves from standalone solitary systems to learning health systems. Yet, there is a clear distinction between Biomedical Data Science and the existing training areas in that data science focuses more on how to manage the associated data in a cost effective and scalable manner, analyze the data in a statistically rigorous fashion, and apply the data in modern computing infrastructure that is tailored to the semantics of biomedical data.
Additional educational directions are available, see more info on the Department of Biomedical Informatics website.