HealthPrism: Empowering Public Health Decision-Making with Predictive Insights

HealthPrism is a powerful predictive analytics platform developed by Deloitte, designed specifically for public sector organizations to enhance health equity and outcomes. Leveraging a comprehensive dataset of 335 million U.S. individuals with eight years of historical data across 1,700 variables, it enables precise identification of subpopulations, targeted community outreach, and data-driven resource allocation at the neighborhood level. Using advanced semi-supervised machine learning and the Bayesian Improved Surname and Geocoding Method (BISG), HealthPrism delivers explainable, privacy-compliant predictions—without relying on internet scraping—while maintaining FedRAMP readiness and CCPA compliance. It supports longitudinal program evaluation and helps agencies improve health access and policy effectiveness with confidence.

Key Features:

• Predictive analytics for public health planning
• Access to largest U.S. health dataset (335M people, 1,700 variables, 8 years of history)
• Semi-supervised machine learning for explainable models
• Bayesian Improved Surname and Geocoding Method (BISG) for demographic prediction
• Federally compliant (FedRAMP ready, CIMP-protected)
• CCPA-compliant with opt-in/opt-out capabilities
• Non-invasive data sourcing (no internet scraping or monitoring)
• Subpopulation identification and micro-tailored outreach
• Neighborhood-level resource allocation guidance
• Longitudinal program effectiveness measurement

Pricing: HealthPrism operates on a subscription-based model tailored for public and commercial health organizations, with pricing determined through consultation.

Conclusion: HealthPrism stands as a trusted, ethical, and highly insightful tool for public health leaders, combining deep data intelligence with rigorous privacy safeguards to drive equitable, evidence-based health initiatives.