September 18, 2026
By Ryan Stumphauzer · Former Federal Prosecutor · Stumphauzer Kolaya & Sloman, PLLC ·
By the time the federal investigators come knocking, its algorithms may already stitched together years of Medicare billing data, WhatsApp messages, bank records, and geolocation data into a flawed narrative of fraud.
As a recent report on HHS-OIG’s National Training Operations Center illustrates, the government is investing heavily in technology to detect and prosecute suspected healthcare fraud.
Read the New York Post’s Special Report here.
That shift has important consequences for healthcare providers, executives, and others under federal scrutiny. A data point may look suspicious in isolation but be consistent with legitimate clinical, operational, or financial realities when examined in full context. A pattern can be incomplete. An assumption can be wrong. And a government narrative built from a massive record still must be tested, not simply accepted.
Stumphauzer Kolaya & Sloman uses advanced technology, including carefully supervised large language models and other AI-enabled analytical tools, to help our defense teams dissect complex evidence at scale. These tools can help organize and analyze voluminous discovery, compare records across sources, surface inconsistencies, identify context, and develop data-driven defenses.
The technology is not a substitute for experienced counsel, independent investigation, or legal judgment. It is a force multiplier—one that helps ensure that the government’s evidence is examined with the same rigor with which it was assembled.
In high-stakes healthcare-fraud matters, a sophisticated defense requires more than responding to allegations. It requires understanding the data, testing the methodology, and finding the facts the government may have missed.
