Why AI Struggles in RCM and How Front-End Data Can Fix It

When a claim fails because of a missing field or outdated insurance detail, it is easy to blame the billing process, but it is incomplete or inconsistent information captured at registration that is often the root cause. This seemingly innocuous oversight may be the reason why AI adoption in revenue cycle management (RCM) has been slow. In this conversation, Clarissa Riggins, Chief Product Officer at Experian Health, and Amy Trogdon, Vice President of Patient Access at Integris Health, break down why AI adoption in RCM depends on accurate front-end data and workflow fit. They share what they learned rolling out Experian’s Patient Access Curator inside Epic and how real-time coverage validation is reshaping staff trust and efficiency. You will hear candid insights about workforce strain, error-prone processes, and why many AI projects stall before they start.🔔 Subscribe for more great interviews with Health IT leaders.Learn more about Experian Health at https://www.experian.com/healthFind more great health IT content at https://www.healthcareittoday.com/