Boost risk scores and revenue through automated coding support and machine-learning algorithms.
Each year, health plans lose millions of dollars and face regulatory sanctions due to inaccurate coding practices. However, many plans feel shackled to traditional labor-intensive processes because they fear making things worse by pushing out new systems to their provider network.
Thankfully, proven technology can help improve risk adjustment and minimize physician burden through:
- ‣ Automated coding support – to detect and automatically populate missing HCCs year after year
- ‣ Machine-learning algorithms – to continuously improve coding accuracy and optimization across unique and differentiated network contracts; and, to prioritize members based on risk-adjustment improvement potential
- ‣ Clinical integration – to ease physician burden and reveal potential coding gaps within the EHR