About the Core
The Electronic Health Records (EHR) data includes a rich individualized patient information for clinical, translational, and patient-centered outcomes research. The EHR core will be positioned to establish a virtual campus -wide Big Data Health Science Consortium which will serve as an outreach and communication portal for the center. The EHR core will work closely with the other cores to develop, support, and disseminate accessible and efficient methods and tools for advanced data management, integration, analysis, and visualization. The EHR Core will be co-led by Drs. Nick Patel and Jiajia Zhang and core members hold strong expertise in clinical medicine, information technology, computer sciences, and biostatistics.
Activity 1: Professional Development
The establishment of BDHSC will enable us to share best practices and new knowledge and provide timely advice for those interested in Big Data sciences, it will also promote inter-disciplinary conversation across the university, even among colleagues that are not typically data inclined. We will achieve this objective through coordination/integration of existing Big Data expertise and resources on campus, as well as provision of training and consultation to faculty, assisting faculty with publications and extramural grants applications.
Activity 2: Academic Training
In response to the nationwide talent gap in Big Data science and to improve the national visibility and leadership of USC in developing the next generation of Big Data health science experts, BDHSC will provide both curriculum-based and research-based training to faculty and students wishing to pursue a career in Big Data health science.
Activity 3: Methodological Advances
Next generation data analytics (such as deep learning, artificial intelligence, virtual-reality, data mining and visual analytics technologies) are among the key driving forces that are potentially transformative for healthcare research. The ability to stay on the frontier of Big Data methodology and technology is key for USC to achieve national leadership in this area. BDHSC will promote cutting-edge research and discovery in the areas of Big Data analytics and innovations.
Dr. Jiajia Zhang’s main research interests focus on investigating the association between the mortality/incidence of a certain disease with its potential risk factors using survival analysis. Specifically, her methodological research interests include investigating advanced survival models; such as the mixture cure model, spatial survival model, frailty model, and linear transformation model.
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