Making Healthcare data the backbone of your organization's strategy

Leverage Real-World Data (RWD) and Real-World Evidence (RWE) to enhance patient outcomes, advance drug discovery and development, optimize operational decisions, improve diagnostics speed and accuracy, and reduce costs. 

Ingest and integrate diverse data types (claims, billing, EHR and clinical/labs information, enrollment and network data, SDOH, and other member-level datasets) using a Databricks-based, unified, cloud-agnostic architecture. Create a repository of production-grade AI/ML models as building blocks for member-level analytics workflow. Enables rapid AI/ML model development and production readiness with a common data model.  

Incorporate and merge a variety of data types (demographics, clinical, lab, radiology, supply chain, Rx, claims, remits, EOB, care team, care plan, digital, social media, SDOH, wellness, and fitness) to address important use cases including denied claims analytics, revenue analysis by Payer group, claim anomaly detection, network leakage, and reconciliation of charges & clinical data. 

Prioritize patient awareness by educating on treatment benefits and promoting the patient service program. Focus on access, affordability, and onboarding by providing financial support and smooth activation through vendors. Ensure adherence and measure outcomes by delivering therapeutic services and managing patient health and treatment compliance.