
Data Analysis Professional
16 hours ago
As a key member of our team, you will play a vital role in analyzing and interpreting complex healthcare data to support clinical operations. This role involves working with diverse data sets, including claims, EMR, and encounter data.
Key Responsibilities:
- Develop and implement data analysis strategies to optimize Hierarchical Condition Categories (HCC) coding and Risk Adjustment Factor (RAF) scoring.
- Collaborate with coding and clinical teams to ensure accurate risk-adjusted coding and compliance with regulatory requirements.
- Design and generate reports, dashboards, and visualizations to support care management, quality improvement initiatives, and business intelligence.
- Identify trends, anomalies, and insights from large healthcare data sets and provide actionable recommendations to stakeholders.
- Maintain documentation and validation procedures to ensure consistent data analysis and high-quality results.
Requirements:
- Minimum 2 years' experience in U.S. healthcare analytics, medical coding, or risk adjustment.
- Strong knowledge of HCC coding, RAF scoring, ICD-10 coding standards, and relevant regulations.
- Experience working with healthcare data platforms, data visualization tools, and statistical software.
- Proficiency in using Excel, Google Sheets, and other data manipulation tools.
- Familiarity with CMS guidelines and risk adjustment methodologies.
- Excellent analytical, organizational, and communication skills.
Preferred Qualifications:
- Background in Nursing, Health Information Management, Public Health, or related fields.
- Certification in medical coding (e.g., CPC, CRC) is a plus.
- Experience working with health plans, ACOs, or Medicare Advantage organizations.
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