The university’s big data health science center will develop the database, which will comprise clinical and geospatial data on both COVID-19 patients and health workers treating patients across the state. With the database, researchers will be able to examine the natural history of COVID-19, including disease transmission and progression.
The researchers will also use machine learning algorithms to identify predictors of short- and long-term clinical outcomes on COVID-19 patients in South Carolina.
The big data health center will work with the South Carolina Department of Health and Environmental Control along with other state agencies on the project.
More articles on data analytics:
CommonSpirit develops predictive models for next COVID-19 surge: 5 details
FDA joins partnership on COVID-19 analytics tool
Microsoft uses undersea data center in search of COVID-19 vaccine
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
