What Natural Language Processing Brings to Risk Adjustment

Many provider organizations are missing out on comprehensively and accurately identifying and documenting risk-adjusted conditions. The cause? Nearly 80% of patient information lives in unstructured data. Without it, organizations will struggle to achieve a holistic view of their patient populations.  

Leading provider organizations use natural language processing (NLP) across the clinical lifecycle to surface and identify previously missed or miscoded conditions. This allows them to continue to improve their patient care for at-risk populations. 

Download this e-book to learn:

  • How NLP works within risk adjustment programs throughout the clinical lifecycle
  • Why unlocking insights through NLP is critical to improve completeness and accuracy of documentation
  • How to use NLP to surface potentially missed or miscoded conditions
  • Whether your organization is a good candidate to implement NLP within your risk strategies

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