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
Speakers
Calum Yacoubian
Director NLP Healthcare StrategyCalum Yacoubian
Dr. Calum Yacoubian is Director of Healthcare Product & Strategy at Linguamatics, IQVIA. He is a medical doctor who trained and practiced in the UK before moving into medical technology. He has worked with Natural Language Processing in clinical data for over 5 years and is passionate about the potential for data to drive improved patient outcomes.
Kathleen Nogueira
Senior Healthcare Application SpecialistKathleen Nogueira
Kathleen (Kathy) Nogueira joined Linguamatics in early 2017 after spending many years using only structured data in her prior healthcare quality, population health and analytics positions. She spent many years in a hospital Care Management department as a Data Manager, setting up systems to collect data for all regulatory requirements for quality, risk management, infection control and numerous other departments.
Kathy was also a software developer and has worked on Radiology and Lab information systems as well as HL7 interfaces. She holds a Bachelor’s degree in Biomedical Computing from Rochester Institute of Technology, and a Master’s degree in Healthcare Administration. In her spare time, she dabbles in arts & crafts.
