A forthcoming book by Thomas E. Zordani, a systems-risk analyst with nearly three decades of experience, will detail how he was classified as a self-pay patient by Mayo Clinic despite having active insurance, and how he subsequently won a consumer fraud claim in arbitration against the renowned healthcare institution. The book, Classification: How an Insured Patient Was Made Self-Pay—and Took on Mayo Clinic and Won, is scheduled for release on November 1, 2026, and its announcement comes as patients and policymakers increasingly scrutinize hospital billing practices and the opaque systems that determine who pays what.
According to the source material, Zordani traveled from Denver to Mayo Clinic Arizona seeking treatment for a serious neurological condition. He had provided his insurance information and hundreds of pages of medical records, and was told Mayo was “good to move forward.” However, upon arriving for his appointment, he was directed to the Business Office and informed he would not be seen unless he paid a $5,000 pre-service deposit. The following morning, Zordani discovered a Mayo estimate showing an expected patient cost of $565, with his coverage identified as “Self-Pay.” He had active insurance, had supplied it to Mayo, and intended to use it.
What began as a failed medical appointment became an investigation. Drawing on his professional expertise in organizational systems, benefits, compliance, risk, and decision processes, Zordani reconstructed the events inside Mayo. He compared recordings against written notes, insurance information against internal classifications, telephone records against claimed contact attempts, and financial estimates against the $5,000 requirement that controlled his access to care. “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, but Zordani continued building the record with a small Arizona legal team. The dispute eventually reached arbitration. On September 12, 2025, 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, transforming it from a billing complaint into a broader examination of how insurance transactions, financial classifications, recorded calls, internal records, and automated workflows can produce real-world consequences before anyone verifies whether a label is correct. 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,” he 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.”
The implications for the publishing industry and for readers are significant. Classification joins a growing genre of investigative nonfiction that exposes systemic failures in healthcare administration, a topic of intense public interest. The book’s release could fuel ongoing debates about hospital billing transparency and patient rights, and it may prompt further scrutiny of the revenue-cycle systems that determine patient financial responsibility. For patients, the story serves as a cautionary tale about the importance of verifying insurance classifications and challenging unexpected demands. For institutions, it underscores the reputational and legal risks of relying on automated classifications without human oversight. As Zordani’s experience shows, a single incorrect label can deny care and trigger a costly dispute—and the consequences can extend far beyond one patient.
