Cerner is teaming up with the University of Texas Health Science Center at Houston School of Biomedical Informatics on a competition that aims to develop ways to use de-identified data to improve patient safety and care.
This year's DII National Data Science Challenge will focus on predictive accuracy for sepsis onset and mortality. Thirty teams, including Duke University, Emory University and UT Austin, will participate in the competition.
Participants will use Cerner Health Facts, a database of de-identified EHR data for research and reporting, and Amazon Web Services cloud support to develop technological solutions for sepsis detection. The teams will also leverage artificial intelligence and machine learning in conjunction with data from EHRs, revenue claims and social determinants of health for their creations.
Test data will be available to participants Sept. 5 and solutions are due Sept. 12.
To learn more about DII National Science Challenge, click here.