Inovalon, CHIDS to Collaborate on Machine Learning and Neural Network Applications

The Center for Health Information and Decision Systems (CHIDS) at the University of Maryland’s Robert H. Smith School of Business will collaborate with Inovalon to expand applications of machine learning and neural network solutions within the predictive analytic components of the Inovalon ONE™ Platform.

The partnership was announced today by Inovalon, a leading technology company providing advanced, cloud-based platforms empowering a data-driven transformation from volume-based to value-based models across the healthcare ecosystem.

“We are at a tipping point for harnessing diverse data sources and utilizing advanced artificial intelligence capabilities to transform healthcare in ways we had not imagined in the past,” said Ritu Agarwal, a participating researcher and the Robert H. Smith School’s senior associate dean for research. “The ability to collaborate with an industry leader such as Inovalon provides further validation of application and measurable impact of this initiative.”

“We are very pleased to be collaborating with UMD’s CHIDS, pioneers in the study of digitally enabled health system transformation and known for its thought leadership and research collaborations,” said Eric Sullivan, senior vice president, innovation and data strategies at Inovalon. “Leveraging insights from the collaboration with UMD, Inovalon will continue to deliver innovative industry-leading capabilities within the Inovalon ONE™ Platform as we focus on delivering highly differentiated capabilities to the healthcare marketplace.”

Read the entire announcement from Inovalon here.