Risk Adjustment & Predictive Analytics

Payers are rapidly transitioning from fee-for-service to value-based payment models that require risk adjustment and predictive analytics. Without risk adjustment, comparisons between providers are unfair and just plain wrong. You deserve fair and accurate risk adjusted comparisons based on the most sophisticated and advanced scientific methods available. Don’t settle for old school methods… choose FOTO.

New - 13 FOTO risk adjustment factors:

1. Care Type

2. Impairment/Body Part

3. Intake Score (Continuous Variable)

4. Gender (2 Variables)

5. Age (Continuous Variable)

6. Acuity ( 7 Variables)

7. Surgical History (4 Variables)

8. Exercise History (3 Variables)

9. Medication Use for Condition (2 Variables)

10. Number of Comorbidities (30 Variables)

11. Payer Type (16 Variables)

12. Previous Treatment for Condition (2 Variables)

13. Post Surgical Type (70 - 80 Variables)

How does it work?

Risk-Adjustment uses sophisticated modern mathematical techniques to
account for different patient characteristics, or variables, that commonly
influence outcomes. Using the risk-adjustment model, the influence of each
patient variable is accounted for by “adjusting” (adding or subtracting) the
influence of each of the variables.