A new report from Innovaccer Inc., a leading healthcare AI company, reveals that 62% of healthcare leaders identify fragmented data as the primary obstacle to scaling artificial intelligence across their organizations. The findings come from the State of Revenue Lifecycle in Healthcare 2026 report, which surveyed 150 U.S. healthcare professionals across 103 organizations and was validated by Frost & Sullivan. While 63% of healthcare organizations now use AI in live workflows, the report highlights that inconsistent data systems are undermining the ability to achieve enterprise-wide impact—particularly in documentation, access, and revenue cycle operations. Despite progress in moving AI from pilot stages to real-world deployment, many institutions are struggling to scale due to siloed data environments and a lack of unified platforms. “Financial and administrative leaders, like their clinical peers, are increasingly focused on working at the top of their expertise,” said Todd Nelson, Director of Partner Relationships and Chief Partnership Executive at the Healthcare Financial Management Association (HFMA). “AI and automation are being leveraged to handle repetitive, routine tasks, allowing leaders to concentrate on complex financial challenges such as preventable claim denials, prior authorizations, and claim edits.” Abhinav Shashank, Co-Founder and CEO of Innovaccer, emphasized the urgency of addressing data fragmentation: “What this report shows is simple: AI is already in production, but most organizations are trying to scale it on top of fragmented data. The next 12 to 24 months will be defined by whether health systems standardize on a platform approach that unifies data, governance, and workflow execution—or continue to accumulate disconnected tools that limit scale and increase complexity.” The report positions 2026 as a pivotal moment for healthcare organizations: they must decide whether to adopt integrated, platform-based AI systems that enable consistent data flow and governance, or risk further entrenching a patchwork of point solutions that hinder interoperability, increase operational burden, and produce inconsistent results. Benjamin Cassity, Director of Research and Strategy for Value-Based Care and AI at KLAS Research, noted the industry’s evolution: “Healthcare is moving beyond the ‘shiny object’ phase of AI into a more mature focus on practical, measurable value. While pilots are transitioning into operational use, adoption remains uneven. Achieving organization-wide scale will be essential for long-term impact.” The State of Revenue Lifecycle in Healthcare 2026 report provides a comprehensive view of where AI is delivering tangible results today and outlines the structural challenges that must be overcome to unlock its full potential across the healthcare ecosystem. Innovaccer’s Healthcare Intelligence Cloud enables providers, payers, and government agencies to integrate fragmented data sources and transform them into proactive, coordinated actions that improve care quality and operational performance. Organizations such as Orlando Health, Adventist Healthcare, and Banner Health rely on Innovaccer to embed intelligence into their existing systems, enhancing both efficiency and the human experience in healthcare. For more information, visit www.innovaccer.com.