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!
Watch 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.
Learn how Natural Language Processing is tackling and providing payers with key insights into complex healthcare data, with applications including:
Social Determinants of Health
Call center analytics