Across health plans, natural language processing (NLP) can provide tangible benefits to everyday tasks by reducing manual record review and discovering member information from unstructured data.

Join the last in our three-part series to learn about four key NLP use cases for payer organizations – including real-world examples showcasing improved operational efficiency and a better understanding of your members.

We will deep dive into four main use cases:

1. Risk Adjustment
   How NLP supports manual medical record review in risk adjustment coding
2. Quality Reporting
   How to expedite chart reviews in HEDIS measures
3. Social Determinants of Health
   How to uncover 300x more patients with SDOH than captured in billing codes and prepare for new SDoH measures
4. Predictive Algorithms
   Discover how unstructured data can be used to add predictors to disease progression algorithms

Calum Yacoubian
Director of NLP Healthcare Strategy
IQVIA NLP

Kaitlyn Whyte
Application Scientist
IQVIA NLP