The Role of Referential Matching in Master Data Management
Health insurance providers increasingly struggle with master data management (MDM) for member/person data. As strategic initiatives require more clinical, socio-economic and behavioral health data, “head-to-head” comparison fails and matching becomes exponentially more difficult.
This webinar will explore real-world case studies of how old matching approaches have failed, and why a new approach is needed. Specifically:
-What are the fail points of probabilistic matching?
-How will this harm business outcomes?
-And what can be done to improve both?
Viewers will learn:
-How probabilistic matching approaches are failing
-How these failures are harming payer performance
-The ins and outs of referential matching
-A case study for health insurance providers on using referential matching for HEDIS improvement