This collection captures non-clinical variables that influence health outcomes, including socioeconomic status, household environment, geography, and other social determinants of health. Phenotype logic may include linkage to external data sources (e.g., census tract data), structured EHR fields (e.g., housing insecurity, language), and proxies for healthcare access or utilization. Example phenotype groups might include “Patients Living in High-Poverty Zip Codes” or “Patients with Documented Food Insecurity,” often used to stratify cohorts or assess disparities in disease burden or treatment access.