
Guest
Episode details
Join us on the latest episode, hosted by Jared S. Taylor!
Our Guest: Kyle Swarts, President at aiHealth.
What you’ll get out of this episode:
- Solving Outpatient Coding Inefficiencies: aiHealth automates complex medical coding tasks, addressing staffing and process issues in the middle revenue cycle.
- Busting the AI Fix Myth: AI won’t fix broken workflows; real change requires reimagining processes and cultural transformation.
- The BAA Roadblock: Outdated Business Associate Agreements (BAAs) create significant barriers to AI deployment in healthcare.
- Ambulatory Focus: aiHealth targets the growing outpatient market, following the migration of surgical procedures from hospitals to ambulatory centers.
- What’s Next for aiHealth: The company is expanding into auditing and clinical documentation improvement while emphasizing strategic partnerships.
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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 Organizations must be willing to revamp outdated workflows for AI to be truly effective.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A significant barrier aiHealth encounters is the outdated language in Business Associate Agreements.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.



