Arintra Expands Autonomous Coding Platform with Documentation Improvement Capability

The New Capability Gives Physicians and Revenue Cycle Teams Visibility Into Documentation Gaps Affecting Compensation and Denials

SAN FRANCISCO--(BUSINESS WIRE)--Arintra, the leading genAI-native autonomous medical coding platform for healthcare organizations, today announced the launch of documentation improvement capabilities. This new capability helps health systems and physician groups see where documentation gaps affect revenue and denials, from the organizational level down to individual providers. Until now, documentation improvement and provider education have been hard to scale because the underlying data didn’t exist. Autonomous coding at scale generates the data that makes it possible.

At the organizational level, documentation gaps contribute to revenue leakage and higher denial rates. In outpatient settings, traditional remediation efforts haven’t scaled as programs are expensive, physicians have limited time to respond to queries, and interventions often fail to change behavior.

For physicians, roughly 70% of whom are paid based on wRVUs, documentation gaps directly affect their compensation. Most physicians see their wRVUs change without understanding why, because nothing connects those outcomes back to specific encounters or documentation decisions. With this capability, physicians can finally see how their documentation affects what they get paid for the care they deliver. Autonomous coding also gives them time back to focus on patients and to document with more specificity.

“When you give 50,000-foot advice, providers might not be able to change their charting behaviors,” said Wes Edwards, CFO at Med First. “With Arintra, we’re able to be very specific in our feedback to providers.”

That’s why Arintra takes a different approach to documentation improvement and provider education. By coding charts at scale, the platform surfaces patterns connecting documentation to coding outcomes, wRVUs, and denials at the provider, department, and organization level. Feedback is retrospective and aggregated across encounters, showing how documentation patterns affect revenue over time, and creating a loop where insights drive better documentation, which drives better coding. Revenue cycle teams can configure how they use this documentation intelligence for targeted provider education or to support existing query workflows.

“Physicians know that documentation affects their compensation, but they rarely see how specific gaps are costing them money,” said Nitesh Shroff, CEO of Arintra. “They’re doing the work, but when the documentation doesn’t support the right codes, they’re not getting credit for it. We built this to show them, from their own charts, what changed, why it changed, and what to do differently next time.”

The launch comes as Arintra rapidly expands its footprint across healthcare organizations, signing 13 enterprise deals at the end of 2025, and builds on the recently shared results from its partnership with Mercyhealth, a multi-regional health system serving communities across northern Illinois and southern Wisconsin. Following the implementation of Arintra’s technology, Mercyhealth achieved a 5.1 percent revenue uplift and reduced A/R days by 50 percent.

For more about Arintra or its autonomous coding platform, please visit arintra.com.

About Arintra

Arintra provides the industry's leading GenAI-native autonomous coding platform, enabling health systems and physician groups to get paid accurately and efficiently for the care they deliver, driving revenue assurance at scale. By combining cutting-edge AI with deep clinical expertise, Arintra autonomously codes charts with high accuracy, without human intervention. Unlike bolt-on tools, Arintra works directly within the EHR, ensuring seamless adoption with zero workflow changes or data integrity risk. Health systems use Arintra to unlock missed revenue due to coding gaps, documentation issues, and unchallenged denials - achieving 5%+ uplift in revenue, 64%+ reduction in pre-A/R days, and 43%+ fewer denials.