← Back to POCsDecision Support
Medical Plan Selection Advisor Using Predictive Cost Modeling
Demo on requestThis proof-of-concept implements a decision support system that evaluates medical plan options using predictive cost modeling and user-defined risk preferences. Live execution is restricted due to IP-sensitive calculation logic.
System Overview
Inputs
- Household size and composition
- Income tier for subsidy calculations
- Risk tolerance preference
- Expected utilization (office visits, prescriptions, hospitalizations)
Plan Data
- Monthly premiums and employer contributions
- Deductibles (individual and family)
- Coinsurance percentages
- Copays and HSA contribution options
Core Logic
- Deductible consumption modeling
- Out-of-pocket accumulation tracking
- Risk-weighted scoring algorithm
Output
- Ranked plan recommendations
- Projected annual costs by scenario
- Risk exposure breakdown
Workflow Walkthrough
Key Capabilities
- Models healthcare cost behavior instead of static comparison — deductible consumption, out-of-pocket accumulation, and risk-weighted scoring
- Supports scenario-based sensitivity analysis for different utilization patterns
- Separates fixed premiums from variable exposure to surface true cost risk
- Designed for benefit selection and decision support use cases
- Execution restricted — IP-sensitive scoring and calculation logic
Interested in a private demonstration of this system?
Request full demo