Medicare Advantage health plan with AI-driven claims and quality reporting
Astiva Health operates a Medicare Advantage plan focused on claims processing, quality metrics (HEDIS/STAR ratings), and provider management. The tech stack reveals a dual operational pattern: traditional BI and ETL tooling (SQL Server, Power BI, SSIS) for compliance reporting, paired with emerging ML capabilities (PyTorch, TensorFlow, scikit-learn, RAG, LoRA) suggesting early-stage AI work on claims validation and risk modeling. Hiring velocity is accelerating across support and healthcare roles, with active work on claims reconciliation, readmission reduction, and automated reporting pipelines.
Astiva Health is a Medicare Advantage insurer based in Orange, California, serving the 11–50 employee scale. The company operates the core functions of a health plan: claims processing and reconciliation, provider contracting and education, quality metric tracking (HEDIS and STAR ratings), and member retention. Current operational focus centers on reducing claims denials, lowering readmission rates, mitigating medical risk, and improving claims data accuracy. Engineering and data work is concentrated on automated ETL workflows, reporting dashboards, and emerging validation logic using machine learning.
SQL Server, Power BI, and SQL Server Integration Services (SSIS) form the core reporting and ETL infrastructure. Python, PyTorch, and TensorFlow are in use for ML-based claims validation and risk analysis.
Orange, California. All current hiring is within the United States.
Astiva Health, Inc's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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