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Top Features to Evaluate in AI Medical Coding Solutions

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Healthcare organisations are rapidly adopting medical coding AI to address rising claim denials, staffing shortages, and increasing documentation complexity. As artificial intelligence matures, not all solutions deliver the same level of accuracy, explainability, or revenue impact. Selecting the right AI medical coding software requires evaluating features that go beyond basic automation. Below are the most critical capabilities healthcare leaders should assess when investing in AI in medical coding . 1. True Autonomous Coding Capability Many platforms labeled as AI medical coding tools are still heavily dependent on human coders. They assist with suggestions but stop short of full automation. A high-maturity solution should: Independently analyze full clinical documentation Generate complete ICD-10, CPT, HCPCS, and E/M codes Operate without manual intervention for the majority of encounters Arintra is an example of a next-generation platform built specifically for autonomous medic...
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What 25 Years of Coding Taught Me About G2211, Modifier 25, and Dual Visits

  A 25-year coding and auditing veteran explains how Arintra autonomously handles G2211, modifier 25, dual visits, and new vs. established patient logic inside Athena capturing compliant revenue without manual intervention. By Susan Oprean, VP of Revenue Cycle at Arintra In a recent webinar, I discussed how Arintra handles complex coding workflows autonomously with our CEO, Nitesh Shroff. We focused on some of the scenarios that typically require manual review, such as G2211, dual visits, modifier 25, and new vs. established patients. These are areas where I see a lot of confusion and, frankly, a lot of revenue left on the table. For context, I've been in medical coding and auditing for over 25 years (at this point, I've stopped counting). I'm a certified coder and auditor. The workflows I'm describing below reflect both compliance best practices and the configurability our clients need. Know More About  What 25 Years of Coding Taught Me About G2211, Modifier 25, and Du...
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"Arintra is Doing the Heavy Lifting" Mercyhealth Transforms a Coding Capacity

Mercyhealth serves 55 communities across northern Illinois and southern Wisconsin, processing over 130,000 charts monthly. But rapid growth was stretching their coding team to the breaking point: coders could only review about 30% of outpatient charts, leaving revenue on the table and compliance at risk. Read this case study to learn how Arintra helped them. Know More About "Arintra is Doing the Heavy Lifting" Mercyhealth Transforms a Coding Capacity Challenge into Revenue Integrity at Scale :  https://www.arintra.com/resources/case-study/arintra-is-doing-the-heavy-lifting-mercyhealth-transforms-a-coding-capacity-challenge-into-revenue-integrity-at-scale
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Start Smart: A Practical Guide to Adopting Autonomous Medical Coding

Discover the best practices for adopting autonomous medical coding. This expert guide shows why outpatient coding is the optimal starting point, how to prioritize specialties, and proven strategies to boost ROI, reduce denials, and accelerate revenue cycle performance. Highlights include- Know More About Start Smart: A Practical Guide to Adopting Autonomous Medical Coding :  https://www.arintra.com/resources/whitepaper/start-smart-a-practical-guide-to-adopting-autonomous-medical-coding
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Automate Coding, Accelerate Growth

  Health systems struggle to get accurate, timely reimbursements, putting their financial stability at risk. Revenue cycle leaders are under pressure to optimize revenue recognition, which requires efficient coding and revenue cycle management. But they face significant challenges, including coder shortages, complex coding requirements, and high chart volume. Know More About Automate Coding, Accelerate Growth :  https://www.arintra.com/resources/product-guide/product-datasheet
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Mercyhealth Empowers its Coder Workforce with Expanded AI Capabilities Across 10 Specialities

  SAN FRANCISCO-Mercyhealth, a leading multi-regional health system serving 55 communities across northern Illinois and southern Wisconsin, today announced that it has achieved a 5.1 percent revenue uplift and a 50 percent reduction in A/R days since automating its high-volume claims across 10 specialties. As Mercyhealth expanded to more than 200 care locations amid a nationwide shortage of medical coders, the demand on the coding team quickly outpaced available resources. To boost efficiency, strengthen retention, and protect its financial integrity, the organization turned to Arintra, the leading GenAI-native medical coding platform for healthcare organizations. By automating a large share of the health system’s claims, Arintra enabled Mercyhealth’s coders to focus on higher-value, more complex work, handling the equivalent of over eight full-time coders. “With a new AI solution, it’s natural to fear how new technologies could affect your job,” said Kelly Pierson, CPC, CRC, Direc...
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Arintra Cuts Coding Costs by Nearly One-Third for Customers, Driving Industry

  SAN FRANCISCO--(BUSINESS WIRE)--Arintra, the leading GenAI-native autonomous medical coding platform for healthcare organizations, today announced it finished 2025 with eight times year-over-year revenue growth, driven by growing adoption across health systems and physician groups. Over the past year, Arintra has increased its monthly coding volume more than five times and now autonomously codes claims across a majority of ambulatory care specialities, including primary care, cardiology, and pediatrics, as well as urgent care, the emergency department, inpatient rounding, and diagnostic specialties such as radiology and pathology. As healthcare organizations' margins continue to thin and reimbursement models shift, Arintra’s traction and rapid adoption highlight the growing need for transparent, audit-ready coding that seamlessly integrates into existing workflows to strengthen their organizations' financial performance and long-term stability. Against this backdrop, Arintra ...
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