Not all automation is created equal. This session helps healthcare leaders cut through the noise and get real about what “agentic” means in practice. If you’ve been burned by bots that couldn’t scale—or are evaluating solutions now—this talk will help you make smarter choices.
Learning Objectives:
Distinguish between RPA, chatbots, and agentic AI
Learn how agentic systems adapt, escalate, and self-manage
Discover where agentic AI delivers outsized value in RCM
Get a checklist for evaluating automation depth and risk
Vanessa Moldovan, CRCR, CPC, CPB, CPMA, CPPM, CPC-I
Head of RCM Strategy
Magical
Raffaello d'Amor
Head of Product
Magical
Magical
Website: https://www.getmagical.com/
Magical helps to securely transfer patient data between systems. Autofill forms and databases in your EHR system or on insurance portals without expensive integrations or APIs. Magical’s no-code solution allows teams to connect and move information between different systems and apps—instantly.
Raffaello d'Amor
Head of Product
Magical
As the healthcare landscape evolves, the future of payment integrity depends on stronger, more transparent relationships between payers and providers. This session will explore how shifting from adversarial audits to aligned, data-driven collaboration can lead to more sustainable results. Using real case examples, we’ll discuss how leaders are redesigning their PI strategies to prioritize trust, accuracy, and efficiency.
Laika Kayani
Vice President, Product Management, Payment Integrity
Optum
Optum
Website: https://business.optum.com/en/operations-technology/payment-integrity.html
Optum is a leading information and technology-enabled health services business dedicated to helping health plans achieve payment accuracy and improve cost savings across the claim lifecycle.
Laika Kayani
Vice President, Product Management, Payment Integrity
Optum
Peter Monson
SIU Director
UCare HP
Deborah Knight-Lauricia
Senior Director, Revenue Cycle Strategic Initiatives
Cleveland Clinic
Gangwon Jo
CEO
Moreh
Gangwon Jo is the co-founder and CEO of Moreh Inc., a startup funded by AMD that develops optimized infrastructure software, enabling more efficient and flexible AI infrastructure at scale. Moreh’s software supports AI workloads on AMD as well as other accelerator platforms, such as Tenstorrent.
Gangwon was the chief architect of “Chundoong,” a supercomputer built using AMD consumer GPUs, which was recognized as one of the world’s TOP500 supercomputers in 2012.
In 2022, Gangwon was named one of MIT Technology Review’s “Innovators Under 35.” He holds a Ph.D. in Electrical and Computer Engineering from Seoul National University.