With $1.2 million in funding from the National Library of Medicine, researchers at the Medical University of South Carolina (MUSC) and Clemson University will establish a new training program that aims to make future data scientists more aware of health inequities. It will also build career development pipelines in biomedical data science for students from underrepresented minorities. The program will place special emphasis on using data science to address the toll chronic illness takes on rural communities.
South Carolina is the ideal location for a training program focused on addressing health inequities. Forty-three of its 46 counties, many of them rural, are designated as completely or partially medically underserved by the Health Resource and Services Agency (HRSA). South Carolina ranks 42nd for life expectancy (Centers for Disease Control and Prevention), due in part to its high levels of chronic disease. The state has the eighth highest rate of diabetes (South Carolina Department of Health and Environmental Control) and sixth highest rate of stroke deaths (CDC) in the nation.
The leaders of the SC BIDS4HEALTH training program believe that harnessing big data could help to change that. Click to continue reading the full story, compliments of MUSC Catalyst News.