This document discusses the importance of context in health data analytics. It introduces a hypothetical patient named Sandy and outlines different types of contextual information that could provide insight into her situation, like lifestyle, location, financial, family, and mental health context. The presentation argues that understanding the full context around individuals allows health plans to build better partnerships and trust with members to engage them in care and improve health outcomes. It provides diabetes population health as an example and suggests enhanced data sources could provide more contextual insights to change how population health is approached. The conclusion states that without understanding context, individuals are just templates, and that context is king when it comes to guiding choices in healthcare.
Related topics: