XZEVN Solutions builds technology that measures and determines similarities between data sets without needing to know how they interact and overtime, identify complex patterns. The problem is Public Health Administrators,
Healthcare Organizations, Government Organizations and Businesses have difficulty making preemptive decisions regarding underserved communities due to the massive volumes of quantitative and qualitative public health data which are available.
Electronic Health Records and patient treatment records hold vast amounts of contextual data that can help identify and address social determinants of health. Currently, technologies are limited in their ability to view public health data holistically in order to accurately cluster appropriate data into recognizable patterns and assist decision-makers with making critical decisions that lead to cost savings and better outcomes for all organizationsand the public they serve.