Project
NeuroCost Explorer: ROI Modeling for Neurological Therapies
Overview
Developed a cost-effectiveness model comparing various neurological interventions, including TMS, DBS, and pharmacological treatments.
Why It Matters
Assessing the return on investment for neurological therapies aids healthcare providers and policymakers in making informed decisions about resource allocation.
Outcome
Created a dashboard that visualizes cost-effectiveness metrics, supporting evidence-based decision-making in healthcare settings.
Resources
Data Sources:
CMS Medicare Provider Utilization & Payment Data: Includes cost data for procedures like TMS, DBS, etc.
ICER Reports (Institute for Clinical and Economic Review): Detailed cost-effectiveness evaluations of treatments.
PubMed + Health Econ Papers (via NICE or CDC): Extract data from tables for interventions and outcome metrics like QALY or ICER.
WHO Global Health Expenditure Database: For macro-level costs per country or condition.
Bonus: Created synthetic patient journeys based on real interventions to simulate cost models.
Category:
Domain: Health Economics / Value-Based Care
Industry: Health Policy, Payer Strategy, Hospital Finance
Technical Specialization: ICER Modeling, QALY Analysis, Financial Dashboards, Clinical ROI Modeling
