Keeping members healthy and costs down are a continual challenge for payers, complicated by an ever-increasing volume of member data. Extracting the information needed for risk adjustment, prior authorization among the many other requirements, needs significant manual effort by subject matter experts. But there is value in that data.
Many payers are turning to their data scientists and analytics teams to uncover valuable information to lessen the burden on employees. Natural language processing, an AI technology, is an essential part of their solution.
In this webinar you will learn about the key areas where NLP can enhance processes across your payer organization. We showcase real-life use cases and applications from expediting chart review to providing insights from up-to-date scientific literature to inform evidence-based policy making.
Why you should watch:
You will learn how Natural Language Processing is tackling and providing payers with key insights into complex healthcare data, with applications including:
- Risk adjustment
- Chart review
- Social Determinants of Health
- Predictive models/analytics
- Quality metrics
- Prior Authorization
- Evidence based policy making
- Standardization and harmonization of disparate data