Health equity means that everyone has a fair and just opportunity to be as healthy as possible. This emerging field combines data science and social science to model factors that contribute to disparities in health outcomes across different races, income levels and regions. Venture Beat brought this interesting topic to our attention in their article, “How predictive analytics improves health equity outcomes.”
Health is about much more than genetics and medical care. Research has shown that the conditions we face as we live, learn, work and play – what researchers call the social determinants of health (SDOH) – have a lot to do with how healthy we are.
With regards to technology, many organizations attempt to address health inequities through dashboards, which provide a tool for analyzing what has happened. Some health care organizations use predictive and prescriptive analytics tools that automatically suggest the next right step instead.
Health technology and augmented intelligence can significantly improve or worsen health equity.
Making data accessible is also important. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands. Access Innovations is the intelligence and the technology behind world-class explainable artificial intelligence solutions.
Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
