![]() Improve patient engagement via practical solutions that work within geographic and socioeconomic constraints.Įqually important, our CareIntel solution directly supports every element of the Quadruple Aim (click through for more about each): Our decision tree algorithms found within the Assessment Configuration Engine. Targeted care management programs could then connect these individuals with interventions and community resources that overcome the obstacles, ensuring everyone receives the care, service, and support they deserve. And they would achieve both immediate benefits, such as earlier interventions, as well as long-term improvements in managing chronic conditions – often even before these conditions become evident.įor example, payers might use ZeOmega’s insights to identify diabetes patients within a specific census tract where socioeconomic issues form barriers to payment and transportation. They could correlate non-medical social needs with granular geographic location data to identify at-risk individuals for targeted programs. Health plans could gain instantaneous insights into gaps in care, identify member segments for quality improvement, calculate clinical or social determinant risk scores, and more. ![]() Since they wouldn’t have to waste valuable time collecting and analyzing data, they would be able to focus on doing what they do best – help people live better and healthier lives. Population health professionals could easily identify non-intuitive relationships that, when acted upon, could impact the well-being of both large populations and individual patients. ![]() ![]() Work as a service – with no need to learn and maintain an in-house technology platform or require a data science degree just to use it ![]()
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