Healthcare billing leaves money behind. Roughly 10% to 15% of billed claims are underpaid by commercial payers, and nearly 65% of denials are never appealed. For hospitals and health systems, the gap is not theoretical—it sits inside claims that have already been submitted and payments that never arrived in full.
Harshil Lodhiya, Chief Software Architect at SlicedHealth, works on the software built to close that gap. SlicedHealth is a healthcare software company founded in 2019 by Reese Walker and Reed Liggin, with a focus on healthcare billing and claims.
The company launched SlicedIQ in late 2025. SlicedHealth reports serving more than 140 hospital and health-system clients across 30 states and says it has analyzed over $2.5 billion in claims.
Finding Patterns Inside Payment Problems
Lodhiya designed Pattern Intelligence, an AI system that looks for groups of claims with similar payment problems. The approach shifts attention from one disputed claim at a time to patterns that can appear across many claims.
That distinction matters because underpayments and denials do not exist as isolated accounting errors. The system looks for groups of claims with similar payment problems, giving SlicedHealth a way to examine recurring issues within the claims it processes.
Pattern Intelligence is not described as a system that replaces judgment with a mysterious score. Its stated purpose is narrower and more practical: identify groups of claims that share payment problems. In healthcare billing, that focus is a welcome break from AI products that promise everything and explain nothing.
The scale behind SlicedHealth’s work gives that pattern-based approach a large set of claims to examine. The company says it has analyzed over $2.5 billion in claims and serves more than 140 hospital and health-system clients across 30 states.
Trust Must Come From the System
Lodhiya’s view of trustworthy healthcare AI rests on more than the label attached to the model. “vertical AI trust is earned through the system,” he said.
That line puts the burden where it belongs. Trust does not come from calling a product intelligent; it comes from how the system handles a specific problem, such as identifying groups of claims with similar payment issues.
SlicedHealth’s focus gives the system a defined job. The company builds software to close the gap in healthcare billing and claims, while Pattern Intelligence searches for related payment problems inside those claims.
The numbers show why that job matters. If 10% to 15% of billed claims are underpaid by commercial payers, hospitals and health systems face a persistent payment gap. If nearly 65% of denials are never appealed, a large share of those problems ends without another challenge.
Those figures also explain why claims analysis needs more than a single-case view. A system that can find groups of similar payment problems addresses the shape of the problem: many claims, recurring issues, and denials that often go unappealed.
SlicedIQ, launched in late 2025, is the company’s current product in this work. Its position in SlicedHealth’s offering connects the company’s broader claims focus with the AI system Lodhiya designed.
The company’s reported footprint gives that effort a measurable frame without turning scale into a substitute for trust. More than 140 hospital and health-system clients across 30 states and over $2.5 billion in analyzed claims describe reach; Pattern Intelligence describes the method.
That separation matters. A large claims dataset can show the size of a company’s activity, but it does not explain how an AI system earns confidence. The system’s defined purpose—finding groups of claims with similar payment problems—does.
Healthcare AI does not need another grand promise. It needs systems that connect a clear task to a clear result, especially when the task involves underpaid claims and denials that are never appealed.
SlicedHealth was founded in 2019 by Reese Walker and Reed Liggin, launched SlicedIQ in late 2025, and now reports a footprint spanning more than 140 hospital and health-system clients. Lodhiya’s Pattern Intelligence supplies the sharper point: trustworthy AI begins with a system designed around the problem it must solve.
Last updated 29 September 2026.
