Robotic Process Automation (RPA) has limitations as to just how complex of processes it can automate. Many processes require fairly analytical decisioning. Process re-architecting, wherein health insurance providers find automatable components of a process to give to robots and leaving the non-automatable components to humans, sometimes leaves little room for ROI using RPA alone.
This webinar discusses how to use machine learning technology to super-power Robotic Process Automation (RPA). You will learn how your health insurance provider can expand the possibilities for true end-to-end automation of business processes.
Karen A. Way, MHA
Global Practice Lead – Data & Intelligence
Health Plan Innovation & Solutions
Karen Way is a Global Practice Lead for Data & Intelligence at NTT DATA Services who works with and supports healthcare organizations to transform their business and IT practices so that they remain competitive in the evolving marketplace. With over 25 years of experience in healthcare and IT, Karen believes that healthcare organizations must advance their data management, analytics and artificial intelligence capabilities to support improving the customer experience, increasing organizational cost savings and enhancing workplace productivity. Karen holds an MS in Healthcare Administration from New England College and a BS degree in Biology from the University of New England.
Health Plan Innovation and Consulting
Deana Rhoades is Principal, Automation for Health Plan Innovation and Consulting at NTT DATA. As a driver of go-to-market strategies and solutions for the company, Deana manages health plan operations, compliance and IT applications for clients by working collaboratively with solution teams and key stakeholders. She has effectively managed business assessments, turn-around efforts and onboarding efforts for healthcare industry such as Blue Cross Blue Shield of Michigan.