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Measuring Access and Continuity of Care in Safety-Net Healthcare Systems

Healthcare Quality & Access Analytics

Population Health Data
Public epidemiologic and geographic datasets
Access Gap Detection
Identify where care fails before treatment begins
Operational Translation
Convert findings into measurable improvement frameworks

The Problem

Access Gap
Patients often never reach specialty care despite services being available
Follow-Up Barriers
Distance, referral complexity, and logistics reduce long-term treatment retention
Measurement Blind Spot
Healthcare systems measure outcomes but rarely measure access barriers

What This Project Produces

Access Analysis
Geographic Access Gap Mapping
Performance Metrics
Continuity-of-Care Indicators
Improvement Framework
Quality Improvement Dashboard & Resource Planning

Project Components

Methodology
Data structure and analytic approach
Dataset
Public data sources and model design
Dashboard
Visualization and performance monitoring

Quality Improvement Framework
Implementation and evaluation model

About This Project

Academic Foundation
Developed as part of a Bachelor of Science in Data Analytics
Systems Focus
Evaluates structural healthcare access rather than individual patients
Career Direction
Aligned with healthcare quality and performance improvement roles