Description
It is well-established in the public health literature that health is strongly influenced by socioeconomic, cultural, and environmental conditions, community factors, and lifestyle. As healthcare organizations are becoming interested in these social determinants of health (SDH), informatics has multiple opportunities to shape and facilitate the collection, analysis, and application of SDH data to improve health equity. In this panel, we discuss multiple challenges and opportunities around three areas: how to collect SDH data; how to analyze these data; and how to apply these data to improving healthcare operations and health equity. Panelists will also analyze methodological reasons why, when the direct effects of SDH on health are so clear, modeling approaches using large clinical data sets sometimes fail to find effects of SDH. After participating in this session, attendees should be able to define SDH, identify multiple barriers to the efficient and accurate collection and analysis of these data, describe several informatics approaches to overcoming these barriers, and demonstrate how SDH influence the course of a chronic disease (heart failure).
Learning Objective: After participating in this session, attendees should be able to:
define social determinants of health;
identify multiple barriers to the efficient and accurate collection and analysis of these data;
describe several informatics approaches to overcoming these barriers;
demonstrate how SDH influence the course of a chronic disease (heart failure).
Authors:
Yiye Zhang (Presenter)
Weill Cornell Medical College
Evan Sholle (Presenter)
Weill Cornell Medical College
Marianne Sharko (Presenter)
Weill Cornell Medical College
Yongkang Zhang (Presenter)
Weill Cornell Medical College
Jessica Ancker (Presenter)
Weill Cornell Medical College
Presentation Materials: