A forthcoming book by Thomas E. Zordani, titled Classification: How an Insured Patient Was Made Self-Pay—and Took on Mayo Clinic and Won, examines how an insured patient was reclassified as self-pay and required to pay a $5,000 pre-service deposit before seeing a clinician at Mayo Clinic Arizona. The book, scheduled for release on November 1, 2026, recounts Zordani's experience and the subsequent arbitration in which the arbitrator found in his favor on a consumer fraud claim on September 12, 2025.
Zordani, who traveled from Denver seeking treatment for a serious neurological condition, had provided his insurance information and hundreds of pages of medical records. He was told Mayo was "good to move forward." However, upon arrival, he was directed to the Business Office and informed he would not be seen unless he paid the deposit. The following morning, Zordani discovered a Mayo estimate showing an expected patient cost of $565, with the same document identifying his coverage as "Self-Pay." He had active insurance and had supplied it to Mayo.
The incident prompted Zordani to investigate. Drawing on nearly three decades of experience analyzing organizational systems, benefits, compliance, risk, and decision processes, he compared recordings against written notes, insurance information against internal classifications, and financial estimates against the $5,000 requirement. "I had gone to Mayo looking for answers about what was happening inside my body," Zordani writes. "I left with an entirely different question: What had just happened inside Mayo?"
The imbalance of the fight became part of the story. Zordani was one patient pursuing a dispute worth only several thousand dollars against one of the most recognized healthcare institutions in the world—an organization with vast resources, sophisticated legal representation, and a reputation that made some attorneys hesitant to engage. The economics alone could have ended the matter. Instead, Zordani continued building the record, working with a small Arizona legal team while tracing the people, processes, classifications, communications, and documents behind the encounter.
The dispute eventually reached arbitration, where the arbitrator issued a written decision stating: "I find for the Plaintiff on his consumer fraud claim." The finding changed the character of the dispute. Classification reconstructs how one patient's challenge to a $5,000 demand grew into an examination of insurance transactions, financial classifications, recorded calls, internal records, legal correspondence, discovery, testimony, and what Mayo's own records showed when placed beside the institution's explanations.
For Zordani, the book's significance extends beyond his own case. "Most patients do not arrive at a hospital prepared to investigate a classification, challenge a financial workflow, or reconstruct what happened inside a revenue-cycle system," Zordani said. "They are there because they need care. If my experience can help patients recognize when something does not make sense—and encourage institutions to examine the systems producing those decisions—then telling this story serves a purpose beyond what happened to me."
Classification ultimately asks a question extending far beyond one patient: What happens when a label inside a complex system begins controlling real-world consequences before anyone stops to ask whether the label is right? The book's release highlights the implications of automated classifications in healthcare and the potential for patients to challenge erroneous designations that can delay or deny access to care.
