VPAATH is a pro-active predictive program that can predict a robust Social Determinants of Health (SDOH) derived Health score, simply by inserting a zip code. VPAATH uses AI analysis for pinpointed SDOH as well as health risk factors to formulate an overall SDOH health score, similar to an A-F grading scale. VPAATH bases its analysis on the widely accepted SDOH holistic model, which weighs an individual's health by percentage on Socioeconomic and Physical Environment factors (50%), Health risk behaviors (30%), with the last 20% actually occurring in the Healthcare venue, representing access to care. VPAATH functionality is designed to be both Payer and Provider-facing.

VPAATH predicts SDOH-derived probabilities of:

• Overall Local SDOH Health Score
• High risk high utilizers
• ER Adminission risks
• Cardiovascular disease risks
• Type 2 Diabetes risk

Zip code is the MOST important factor for SDOH determination. This is due to the direct nature of the relationship between social determinants, socioeconomic factors and physical environment. SDOH factors don't happen in a vacuum to just one individual; SDOH is the sub-local environment's positive or negative influence on groups of individuals. Overcrowding in housing, poverty and food deserts affect collective groups of people, not just a single person.

Pro-active SDOH screening using localized health scores, prior to a member entering the health care system, allows any stakeholder on the continuum to proactively initiate and engage in targeted and tailored interventions.

• Executive operations leadership can use pro-active SDOH screening to aim SDOH strategy campaigns at specific members, by just using general intake demographics, without waiting for engagement based on claims data. This also leads to an increase in member engagement, a decrease in treatment costs, while meeting healthcare quality standards as well as CMS requirements for MAOs.
• Network providers and Case Management can use it to quickly tailor plans of care and focused discharge planning. Case Managers and Coordinators can proactively link members to community-based services and reduce hospital readmissions.

Claims data, while extremely valuable, is after-the-fact data that is collected after a hospitalization, inpatient admission or health crisis occurs. It is reactive. It has difficulty pinpointing members who currently do not use many health services but have a high likelihood of having a major medical event. Identifying these imminent super-users in time to intervene and change their health trajectory improves outcomes, increases quality of life and lowers costs.

VPAATH was originally born out of the need to provide a holistic picture of health to those who were actively screening for chronic disease. Both work separately/modular to achieve each of their goals. Together, they complete the holistic SDOH model and strengthen the analytical insight into each member. For more information, visit https://www.vistabiomedical.io/.