Whole-person health management requires healthcare organizations to go beyond standard claims and medical data and integrate data sources that measure a person’s social determinants of health (SDoH). With more than 50% of health conditions determined by these factors, it’s simply not possible to achieve high quality and improved outcomes without designing care that addresses the whole person. Health status impact related to SDoH is often overlooked, leading to missed opportunities for preventative and cost-effective care. Social and societal factors such as lack of access to nutritious food or weak social support systems are key aspects of an effective health maintenance program. Focusing on vulnerable populations prone to these types of determinants is essential for organizations seeking to offer value-based and whole-person care.

Jiva sources SDoH data from claims, Jiva assessments, census data, and a wide range of other US government data sources, integrating it seamlessly for a 360-degree view of the person. Intelligent workflows present users with risks for health impact related to SDoH and initiate actions to address them, ensuring the whole person is cared for appropriately.
Jiva’s AI capabilities offer a specific focus on Suicide Risk, Social Isolation, and Food Insecurity – all drivers of chronic disease and increased healthcare spend. Learn more about these SDoH capabilities here.