Transforming the Middle Revenue Cycle

Kyle Swarts launched aiHealth to tackle persistent inefficiencies in outpatient specialty coding. Drawing from his extensive background in healthcare IT and consulting, he identified that manual coding processes, especially dealing with scanned documents and complex E&M coding, remained a costly bottleneck for providers.

AI Isn’t a Silver Bullet

One of the biggest misconceptions, Swarts explains, is that AI alone can fix flawed systems. Organizations must be willing to revamp outdated workflows for AI to be truly effective. This shift requires buy-in from leadership and a cultural readiness to adapt, not just technology adoption.

Navigating Data Compliance Challenges

A significant barrier aiHealth encounters is the outdated language in Business Associate Agreements. These legacy documents, often 20+ years old, aren’t designed for modern AI data use cases. By engaging legal counsel and educating partners, aiHealth accelerates contracting timelines and ensures compliance while leveraging de-identified data.

Why Ambulatory Care?

As surgical procedures shift from hospitals to outpatient centers, aiHealth chose to focus on ambulatory care. This strategic move capitalizes on a less saturated, rapidly growing market where modern coding tools are in high demand.

Looking Ahead: Expansion and Innovation

aiHealth plans to expand its product capabilities in areas like clinical documentation improvement and auditing. With strong client retention and growing strategic partnerships, the company is poised for continued innovation in 2026 and beyond. Staying ahead in the AI “gold rush” remains a priority, as does its commitment to research and client-centric development.