Aptarro and aiHealth Partner to Reimagine the Revenue Cycle with AI-Powered Coding and Claim Automation
- Aubrey Ibele
- 18 hours ago
- 2 min read
New strategic partnership delivers streamlined revenue – reducing errors, denials, and accelerating payment from clinical notes to clean claims.
August 19, 2025 – Tallahassee, FL – Aptarro, the company behind RevCycle Engine—which automates charge corrections at the source with intelligent, customizable rules and aiHealth, creator of the autonomous medical coding platform aiH.Automate™, today announced a strategic partnership to close critical gaps and drive efficiency across the revenue cycle.
By combining aiH.Automate’s direct-to-bill clinical coding with RevCycle Engine’s real-time charge correction and denial prevention, healthcare organizations can streamline operations, minimize costly rework, and accelerate reimbursement. “
We’ve spent years helping revenue cycle teams stop revenue loss before it starts,” said Lori Jones, Chief Growth Officer at Aptarro. “With aiHealth, we’re connecting documentation and billing in a way that removes friction, reduces preventable denials, and consistently delivers the clean claims revenue teams need.”
aiHealth’s aiH.Automate uses specialty-specific AI models trained on audited coding data that turn clinical notes into billing-ready codes – automating high-volume, routine encounters and routing only complex cases to expert coders. The result: up to 95% coding accuracy, reduced charge lag, and faster revenue capture for outpatient and specialty practices.
Aptarro’s RevCycle Engine complements this by applying real-time, customizable rules to every charge—ensuring billing accuracy and payer compliance before claims reach practice management (PM) or electronic health record (EHR) systems.
“Our partnership solves two major pain points for clients - medical coding and denial management,” said aiHealth President Kyle Swarts. “aiH.Automate and RevCycle engine is a logical partnership creating an intelligent AI-enabled RCM experience seamlessly integrating into existing workflows.”
Outpatient and specialty groups are under pressure from:
Shrinking margins and rising administrative costs
Persistent coder and biller shortages (30%+ deficit nationwide)
Denials that delay cash flow and require costly rework
Together, aiHealth and Aptarro solve these challenges by reducing manual work, improving coding accuracy, and delivering clean claims the first time.
“Our collaboration with Aptarro and aiHealth has been a game-changer,” said Brandon Janike, Vice President of Revenue Cycle Management at Revo Health. “We reduced turnaround times from five days to one, cleared backlogs, dramatically improved coder and biller productivity, and scaled to meet market demand without hiring additional FTEs.
About Aptarro
Aptarro is a technology company focused on making healthcare administration more efficient and intelligent. Its flagship product, RevCycle Engine, helps healthcare organizations automate manual billing tasks, apply intelligent rules, and reduce denials—all while improving clean claim rates and cash flow. Aptarro partners with health systems, physician groups, and RCM vendors to simplify revenue cycle management. Learn more at www.aptarro.com.
About aiHealth
aiHealth is a leading provider of AI-powered clinical documentation and autonomous medical coding solutions. Its flagship product, aiH.Automate™, uses specialty-trained AI/ML models to convert clinical notes into billing-ready codes—automating routine cases while flagging complex encounters for review. The platform integrates with leading electronic health record (EHR) and revenue cycle platforms to increase coder efficiency, improve accuracy, and reduce administrative burden. Visit www.ai-health.io to learn more.
Interested in learning more about how aiH.Automate™ can accelerate revenue for your organization?
Discover how Twin Cities Orthopedics leveraged aiH.Automate™— a leading outpatient AI-powered medical coding platform—to manage rapid growth, reduce charge lag, boost productivity, and save $500,000 in coding costs, all while managing increasing coding volumes.
