Key Responsibilities

1. Data Analysis and Reporting:
   • Analyze healthcare data (e.g., claims, EHRs, patient outcomes) to identify trends, patterns, and opportunities for improvement.
   • Develop dashboards and reports to track key performance indicators (KPIs) such as cost savings, patient outcomes, and care quality metrics.
2. Population Health Management:
   • Use predictive analytics to identify high-risk patients and recommend targeted interventions.
   • Monitor and evaluate the effectiveness of population health programs (e.g., diabetes management, hypertension control).
3. Performance Measurement:
   • Measure and report on value-based care metrics, such as:
     • Hospital readmission rates.
     • Patient satisfaction scores (e.g., NPS)
     • Cost per episode of care.
   • Benchmark performance against regional or national standards.
4. Collaboration with Stakeholders:
   • Work with clinicians, care managers, and administrators to translate data insights into actionable strategies.
   • Support the design and implementation of value-based care initiatives.
5. Technology and Tools:
   • Utilize advanced analytics tools (e.g., SQL, Python, R, Tableau, Power BI) to analyze and visualize data.
   • Manage and integrate data from multiple sources (e.g., EHRs, claims, patient registries).
6. Quality Improvement:
   • Identify gaps in care delivery and recommend process improvements.
   • Support accreditation and compliance efforts (e.g., HEDIS, CMS Star Ratings).
7. Cost and Utilization Analysis:
   • Analyze healthcare utilization patterns to identify cost-saving opportunities.
   • Evaluate the financial impact of value-based care programs.