Most health experts agree that an integrated, multi-dimensional approach is essential to whole person health. Instead of creating vertical silos of data based on conditions and costs, data based on whole person health views health populations from a horizontal perspective that considers each individual’s care utilization patterns, lifestyle, and health preferences. From there, health plans can focus programs more effectively by finding people with the highest opportunity for engagement that results in improved health outcomes.
Uncovering data that matters.
Data models based on a horizontal view of a person’s health typically combine multiple data sources and measures, including de-identified data ranging from common demographics to claims and, increasingly, SDoH factors. Behavioral data is a big part of this multi-faceted view of health.
The behavioral patterns of health care consumers encompass a wide range of actions, from care-seeking behavior to medication adherence and lifestyle habits. Behavioral data is an important part of a person-centered view of populations, helping plans and employers identify more of those people who may be trending toward more significant health care utilization and cost.