When:
Time: 8:00am PDT, 11:00am EDT, 4:00pm BST, 5:00pm CEST
Duration: 60 minutes
Keeping members healthy and costs down are a continual challenge for payers, complicated by an ever-increasing volume of member data. Extracting the relevant information needed for programs such as risk adjustment, among the many other requirements, needs significant manual effort by subject matter experts. Recent evolutions of the 21st Century Cures Act means more of this data is going to be available to payers more easily – and having strategies to unlock it will be key.
Therefore, more payers are turning to either specialty vendors, or 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. But – not all NLP is built equally!
Join this webinar to learn about the key areas where NLP can enhance processes across your payer organization – not just for one solution. We will showcase real-life use cases and applications from expediting chart review in medicare advantage (MA) risk adjustment to uncovering member level Social Determinants of Health (SDoH) from member medical records.
You will learn how Natural Language Processing is tackling and providing payers with key insights into complex healthcare data, with applications including:
Risk adjustment
Social Determinants of Health
Predictive models/analytics
Call center analytics