How to Improve Outcomes Across the Risk Adjustment Continuum
Accurate coding and advanced analytics are the foundation of an effective risk adjustment program, particularly when it comes to managing complex patient populations. Now more than ever, health plans are being asked to do just that—while also expanding access to care, driving patient engagement and retention, and improving health outcomes. Organizations that are able to quickly and efficiently surface diagnoses beyond those that are easily identified, map how they affect patient populations, and pinpoint the most effective interventions can reduce gaps in care, improving financial and clinical outcomes in the process.
As adoption of value-based care, risk-adjusted healthcare models increases, it’s important for plans and payers to take stock of their...
When well-designed and properly implemented, NLP coding tools can drive the speed and accuracy of medical coding, leading to better patient outcomes.
Our educational resource on pediatric Risk Adjustment coding. This white paper covers common errors and instructs how to improve documentation.