aiHealth President, Kyle Swarts and Mark Herzog, Principal Solutions Specialist at Veradigm, explore how healthcare organizations can use AI-powered coding to improve claim accuracy, reduce denials, and accelerate revenue cycle performance.

aiHealth, a leading provider of AI-powered autonomous medical coding platform, today announced its aiH.Automate™ platform has earned certified status from HITRUST for cybersecurity and information protection.

2025 wasn’t the year AI transformed healthcare overnight—it was the year leaders chose whether to act or wait. As revenue pressure mounted and payer scrutiny intensified, the organizations that moved forward with autonomous coding and deliberate automation pulled ahead. These year-end insights reveal what worked, what didn’t, and why 2026 will define the next era of healthcare AI leadership.

AI companies promising seamless implementation, rapid ROI, and zero workflow disruption have become too common when describing how to solve some of healthcare’s most pressing inefficiencies. But anyone working in healthcare knows the truth: transformation isn’t simple, workflows are complex, and real progress doesn’t come overnight. At aiHealth, we don’t view complexity as a barrier; we see it as the blueprint for transformation.

For years, AI has been positioned as the answer to healthcare’s operational strain. The results have been mixed: initiatives that linger in pilots, tools stretched across too many use cases, and added complexity without measurable impact. The gap isn’t ambition; it’s precision and integration into real workflows. aiHealth takes a different path. Our approach applies AI to a specific, well-defined domain: medical coding in ambulatory specialties

New strategic partnership delivers streamlined revenue, reducing errors, denials, and accelerating payment from clinical notes to clean claims.

Why PELTO Health Is Exploring AI-Powered Coding: Tackling Healthcare's Labor Crisis with Innovation

Urology practices face increasing pressure to balance financial performance with the complexities of surgical coding requirements,...