Nominated for the AMIA Distinguished Paper Award was a paper on "Cloud-based Predictive Modeling System and its Application to Asthma Readmission Prediction" by Robert Chen (CS), Hang Su (CSE), Mohammed Khalilia, Sizhe Lin (CSE), Yue Peng (CSE), Sun, and coauthors from Children’s Healthcare of Atlanta and the Pediatric Emergency Medicine Associates, LLC in Atlanta.
 
Sunlab students E. Choi (CS), Lin, A. Singh, and H. Suwere "top seven" finalists in the 3rd Annual Student Design Challenge student design challenge thanks to their great work on the I-SMILE project with the Centers for Disease Control and Prevention. For the Challenge, students proposed creative solutions to a specified problem related to health care, this year focusing on novel and original ways to facilitate engagement between humans and computing data-analytic systems. Student teams were asked to envision new ways for clinicians and/or patients to engage with data-analytic systems that take advantage of both emerging computational capabilities and uniquely human intelligence and reasoning.

Other Sunlab papers and posters included:
 
Paper: Clinical Predictive Modeling Development and Deployment through FHIR Web Services, by M. Khalilia, M. Choi, A. Henderson, S. Iyengar, M. Braunstein, J. Sun
 
Poster: Information System for Mobile Immersive Learning Environment for Just-in-time Learning in Public Health by J. Dcruz (CDC); K. Ryder (Assoc. of Schools and Programs of Public Health); E. Choi, S. Lin, A. Singh, H. Su, (GT); S. Papagari Sangareddy, H. Tolentino (CDC); J. Sun, (GT)
 
Poster: System Architecture of CDC I-SMILE Recommendation Engine by E. Choi (GT); J. Dcruz (CDC) ; S. Lin, A. Singh, H. Su (GT); K. Ryder, S. Papagari Sangareddy, H. Tolentino (CDC); J. Sun (GT)