At CODE, we believe that data must be a key component of any effort to improve health and the healthcare sector in the United States. Without high-quality, actionable data, inequities in our healthcare system will remain and even get worse. Health data can be broadly applicable to improving health equity, as well as highly targeted towards specific diseases and other kinds of health risk.
Over the years, CODE has worked to help improve health data sharing, analyze the importance of the social determinants of health (SDOH) to health and well being, and show how data and analytics can help address specific conditions like Lyme disease and sickle cell disease.
We are continuing our work with a strong focus on the SDOH, along with data related to individuals’ Health Related Social Needs (HRSNs). This work is closely tied to our
Open Data for Equity program, which is designed to help governments, nonprofits, and communities build equity in key areas.
We are also proud to continue our longstanding work to apply data to specific health risks, with a particular focus on Lyme disease and other vector-borne diseases. We believe that our work in this area can provide a blueprint to embrace data-driven approaches to address other diseases and conditions.