AI Adoption in Healthcare Payments: Strategic Imperative for Revenue Cycle Management

A new study by Forrester Consulting on behalf of Waystar reveals that AI adoption in healthcare payments has reached a strategic inflection point. The study found that 82% of healthcare leaders consider AI integral to revenue cycle management, with 70% identifying it as a top priority. AI is delivering double-digit gains in revenue cycle performance, including 13-37% improvements in key areas. Healthcare providers are prioritizing strategic AI implementation, especially in payer-facing workflows, and are turning to existing RCM software partners for AI capabilities.

A new study by Forrester Consulting on behalf of Waystar reveals that AI adoption in healthcare payments has reached a strategic inflection point. The study found that 82% of healthcare leaders consider AI integral to revenue cycle management (RCM), with 70% identifying it as a top priority. AI is delivering double-digit gains in revenue cycle performance, including 13-37% improvements in key areas such as claim accuracy, denial prevention, and payment speed [1].

Healthcare providers are prioritizing strategic AI implementation, especially in payer-facing workflows, and are turning to existing RCM software partners for AI capabilities. The study highlights that the majority of healthcare organizations prefer established RCM software partners for AI capabilities over new vendors, citing faster implementation and proven security [1].

The study, based on responses from over 300 healthcare leaders, indicates a clear trend toward strategic AI adoption. AI is transforming the revenue cycle by accelerating automation, enhancing analytics, improving accuracy, and driving stronger returns on investment. The data reveals impressive performance metrics, with 13-37% improvements in RCM performance [1].

The findings underscore the growing trust in AI, with 60% of decision-makers reporting increased confidence post-implementation. This shift is a testament to the transformative impact AI is having on healthcare operations, enabling providers to navigate growing complexity and focus on patient care [1].

In addition to Waystar's study, Janus Health has also launched JanusIQ, an AI-powered platform designed to empower health systems to lead with greater insight and adaptability across the revenue cycle. JanusIQ has already demonstrated real-world outcomes, including up to a 2% increase in revenue yield, 5+ day acceleration in cash flow, and a 30% increase in complex follow-up capacity without expanding staff [2].

The integration of AI in healthcare payments is not just a trend but a strategic imperative. As healthcare providers continue to navigate financial and operational headwinds, AI is emerging as a critical tool for optimizing revenue cycle performance and driving sustainable growth.

References:
[1] https://www.prnewswire.com/news-releases/new-study-reveals-ai-adoption-in-healthcare-payments-reaches-strategic-inflection-point-302488195.html
[2] https://www.morningstar.com/news/pr-newswire/20250623la15457/janus-health-launches-janusiq-ai-powered-platform-for-health-systems-navigating-financial-and-operational-headwinds