Care delayed is care denied. While prior authorizations are essential for effective utilization management (UM), they have become excessively burdensome for payers and providers alike, causing delays that impact patient outcomes.
Join us for this exclusive webinar to explore how the prior authorization process can be transformed through AI-driven automation and predictive intelligence. Hear about key strategies and solutions that can drive faster approvals, reduce administrative burden, and deliver significant cost savings.
In this discussion with industry experts, you will learn about:
- The top challenges in manual review and rule-based auto-approvals, with a look at how traditional processes create inefficiencies and impact care delivery
- How a collaborative, data, and AI-driven approach can effectively tackle prior authorization challenges, including an overview of the latest innovations available to help
- Case studies from leading healthcare organizations on how they are successfully shaping the future of prior authorizations with AI-powered intelligence
- And more
Vice President, Advanced Analytics
As Vice President of Advanced Analytics, Pravin leads ZeOmega’s advanced analytics team, working on new and existing AI solutions and social determinants of health (SDOH) solutions with a goal of creating best-in-class software products.
Pravin is an experienced executive leader with a demonstrated history of successfully working in the hospital & health plan industry for over 20 years. He is deeply proficient in team building, leadership, innovation, artificial intelligence, big data, predictive analytics, and population health management.
Pravin started his career as a software engineer for transplant software, then moved throughout various academic healthcare organizations for many years, eventually becoming a Senior Consultant and Vice President focused on healthcare software development and implementation. He also served with Cerner’s engagement leadership team.
His education includes a Bachelor of Science in Computer Science and Software Engineering from the University of Nebraska at Omaha, a Master of Science in Health Informatics with Data Analytics from the University of Alabama at Birmingham and a Professional Development Certificate—Data-Driven Decision Making for Business Leaders—from Harvard Extension School, Harvard University.
Sudhakar "Sudhi" Ranganadham
Associate Director, Advanced Analytics
Sudhi has over 17 years of experience in product management, software development, and AI-driven solutions. He specializes in developing data-driven products that enhance operational efficiencies and drive bottom-line improvements by bridging business needs with cutting-edge technology.
A technologist at heart, Sudhi has worked across healthcare, aeronautics, and eCommerce. For 14 years, he has been instrumental in building and implementing ZeOmega’s flagship product, Jiva, for large U.S. healthcare payers. Over the last 9 years, he has focused on AI-driven solutions that revolutionize utilization management, member engagement, and ROI optimization.
Sudhi holds a Bachelor’s degree in Information Technology from Jawaharlal Nehru Technological University, India, and has completed multiple certifications in Data Governance, Natural Language Processing, and Data Analysis & Visualization from the University of Illinois, Urbana-Champaign.
He is passionate about leveraging AI to improve efficiency, reduce administrative burdens, and enhance patient outcomes.
Near Real-Time Prior Authorizations With AI | Fierce Healthcare
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