Leveraging near real-time clinical data to strengthen claims validation, prioritize high-risk cases, and accelerate payment integrity review before and after payment.
The opportunity
From retrospective claims review to prospective clinical intelligence
- Traditional payment integrity processes rely heavily on claims, authorizations, and post-payment medical record review.
- Claims data may arrive days or weeks after the clinical encounter.
- ADTs and CCDs provide earlier visibility into what occurred, where it occurred, and the clinical circumstances surrounding the service.
- This creates an opportunity to identify discrepancies and unusual patterns sooner.
Saikiran (Sai) Vodela
Saikiran (Sai) Vodela is an Advisor and Manager of HealthIT at L.A. Care Health Plan, where he leads strategic efforts in Health Information Exchange (HIE), California’s Data Exchange Framework (DxF), and interoperability initiatives that support care coordination for Los Angeles County’s safety net population.
Sai previously spearheaded the implementation of a clinical data repository under the Transforming Clinical Practice Initiative (TCPi), a nationwide effort by the Center for Medicare & Medicaid Innovation (CMMI) aimed at improving healthcare delivery through data-driven transformation. The program achieved $196 million in cost avoidance for the health plan. Earlier in his career, he developed performance monitoring solutions for Accountable Care Organizations (ACOs) and Medicare providers at an electronic health record company.
He holds a Master of Public Administration (MPA) in Healthcare Management, a Master of Science (MS) in Pharmaceutical Chemistry, and a Bachelor of Pharmacy (PharmB).