
RAF Totalizer is a smart, AI-powered solution designed to help healthcare professionals calculate Risk Adjustment Factor (RAF) scores with precision and speed. It integrates demographic data, diagnosis codes, and disease interactions to deliver a comprehensive view of patient health.

RAF Totalizer uses advanced algorithms to analyze.
An HCC RAF score of 1.00 represents average resource use. Scores above 1.00 indicate higher care complexity and reimbursement potential.

Age, gender, community, and institutional data

Based on HCC codes from ICD-10 diagnoses

Reflecting chronic conditions and comorbidities

Incorporating medication history and healthcare usage to refine RAF accuracy

Evaluating coding completeness and identifying gaps to ensure compliance and maximize outcomes

Identify and manage high-risk patients effectively

Maximize revenue through precise RAF score calculations

Forecast future care needs and allocate resources efficiently

Avoid penalties with accurate documentation and coding