Putting Social Determinants of Health Data to Use at Mount Sinai

Participants discussed the importance of developing structured clinical terminologies for social determinants of Health (SDOH) During the 2019 HIMSS Machine Learning and AI for Healthcare event in Boston.  

It has become clear in the medical field that SDoH are critical social determinants are to population health and chronic care management. But what's not so obvious is how to make use of that valuable information, especially given most health systems' reliance on structured electronic health record data for their analytics projects.

Varun Gupta, IT director, advanced analytics and data management, at New York's Mount Sinai Health System showed how how clinicians and case managers there can use natural language processing algorithms to gain access to valuable social data captured in progress notes, procedure and consultation data, discharge summaries and more."It's all there in unstructured format," Gupta explained. "And there's a huge opportunity to use that data to find out insights. That's where natural language processing comes in."

Read the full article, published in Healthcare IT News, to learn more.