How Health Insurers Use Social Determinants to Predict Costs

Episode 59 of Services Economy with Fexingo examines how health insurers are now using social determinants of health—things like housing stability, food access, and transportation—to predict medical costs and adjust premiums. Lucas and Luna break down the data sources insurers are mining, from census tract averages to credit scores and grocery purchases, and discuss the ethical tightrope between better risk prediction and privacy invasion. They focus on a specific pilot program by a major insurer that reduced ER visits by 18% in a targeted neighborhood by paying for rent and groceries, and ask whether this kind of intervention is a genuine health investment or a new form of redlining. The episode also covers the regulatory landscape as of June 2026, including pending state laws that would restrict how insurers can use non-medical data. #SocialDeterminantsOfHealth #HealthInsurance #RiskPrediction #DataPrivacy #HealthcareEconomics #InsurTech #HealthEquity #CensusData #CreditScores #GroceryData #ERVisits #HousingStability #FoodAccess #Regulation #StateLaw #FexingoBusiness #BusinessPodcast #ServicesEconomy Keep every episode free: buymeacoffee.com/fexingo