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 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.
Join this webinar to learn about the key areas where NLP can enhance processes across your payer organization. We will 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 attend:
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
Speakers
Calum Yacoubian
Associate Director NLP Healthcare StrategyCalum Yacoubian
Dr. Calum Yacoubian is Associate 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.
