Analytical & AI Design
Algorithm Design for Healthcare Talent Matching Solution
Problem: A health tech platform needed a scalable, cost-effective way to automate candidate matching.
Solution: Designed a phased approach starting with a rule-based model and progressing to AI-driven selection using RAG and large language models, with clear implementation and audit guidelines.
Outcome: The platform gained an actionable roadmap for efficient matching and future-ready AI integration.
Shared Savings Methodology for Neurological Case Management Offering
Problem: A care coordination program needed a reliable way to measure cost savings for members with complex neuro conditions.
Solution: Developed a transparent, step-by-step shared savings methodology with treatment/control groups, cost-capping, and reproducible claims analysis.
Outcome: Enabled accurate, performance-based financial arrangements grounded in analytical rigor.
Personalized AI Portfolio for Population Health Company
Problem: A population health company needed a clear strategy to leverage AI for chronic disease management.
Solution: Created a tailored AI roadmap with predictive goals, stage-based interventions, and integration of clinical, genetic, and behavioral data.
Outcome: Positioned the company to deliver precision care at scale using data-driven insights.