XiFin Research Quantifies Millions in Recoverable Revenue Across Ancillary Healthcare Revenue Cycles
New research with Sage Growth Partners identifies three measurable dimensions of unrealized RCM opportunity; radiology practices could recover more than $2.6 million annually through targeted improvements
Findings show that reducing preventable RCM complexity can free significant staff time and resources to be reinvested in patient care
SAN DIEGO, August 27, 2026--XiFin, Inc., a leader in AI-driven revenue cycle management (RCM), today released new research conducted with Sage Growth Partners showing that growing reimbursement complexity, administrative burden, regulatory requirements, and patient financial responsibility are creating significant unrealized revenue cycle opportunity across complex healthcare service lines. Radiology practices, clinical laboratories, pathology groups, specialty pharmacies, and durable medical equipment (DME) providers may be losing recoverable revenue while dedicating substantial resources to preventable rework, manual processes, and patient financial interactions.
The No Surprises Act illustrates how these pressures are increasingly interconnected. Requirements to provide good-faith estimates to uninsured and self-pay patients extend beyond regulatory compliance. Generating and delivering those estimates adds operational complexity and can directly affect an organization's ability to collect earned revenue. Accurate, timely, good-faith estimates help laboratories meet No Surprises Act requirements while improving price transparency, reducing patient billing friction, and supporting a more predictable financial experience.
Detailed in the new research brief, Revealing the Unrealized RCM Upside Your Metrics Miss, the findings identify three interconnected dimensions of revenue cycle opportunity: Revenue Recovery, Operational Efficiency, and Patient Engagement and Access. The brief also introduces a segment-specific framework and reference benchmarks to help providers develop a directional estimate of the potential value of targeted improvements.
The findings are significant. Applied to a mid-sized pathology practice submitting 210,000 claims per year at an average value of $108 per claim, the research identifies approximately $870,000 in combined annual opportunity, including:
$430,000 in additional revenue from reducing front-end and back-end denials and underpayments
$110,000 in annual cost savings due to opportunities for new operational efficiencies
$330,000 in additional revenue collected from patients with amounts due out of pocket, reducing the cost to collect on patient balances, and additional capacity to serve patients annually