About This Webinar
Health insurance plans are facing a highly complex regulatory environment, where CMS is working feverishly to recoup overpayments due to over-coded conditions. Simultaneously, health plan staff must document the condition status of their members accurately in order to be properly compensated. Health plan staff rely heavily on in-home assessments and other forms of member interventions to ensure clinical documentation is accurate, and it is an ever-present challenge to ensure they are targeting the right members with the right intervention, while providing a positive experience for the member.
In this session, attendees will learn how health insurance plans can leverage advanced analytics to optimize efficiencies in member targeting and chase list creation, maximize return on investment, and improve risk score accuracy to ensure regulatory compliance.
Attendees Will Learn About
- How a unified intervention ecosystem helps improve member experience and increase gap closure
- The impact of new technologies such as natural language processing on risk adjustment and quality measurement
- How to maximize risk score accuracy to ensure risk adjustment data validation (RADV) audit readiness
- How to evaluate costly interventions to maximize return on investment
