Boost Healthcare Revenue with Autonomous Medical Coding

  Clinical documentation improvement (CDI) ensures accurate coding, reduces denials, and improves revenue by capturing complete patient care details. Ask any coder what frustrates them, and you'll most likely hear some version of this: "I can only code what's documented in the patient’s chart." Clinical documentation that’s vague or missing specificity means that coders have to assign lower-level codes, even when the provider clearly delivered more complex care. The result is that organizations collect less than the care was worth. That's what clinical documentation improvement (CDI) is designed to address. So what is clinical documentation improvement, exactly? It’s a structured way of ensuring that patient charts reflect the full picture of the care that was delivered, so that coders, billers, and compliance teams all have what they need to do their jobs.  If the term CDI carries some baggage at your organization, it’s understandable. The concept of more accurat...

  Nobody wakes up in the morning and sets out to code medical charts inaccurately (hopefully). But across healthcare environments where chart volumes outpace coder capacity and documentation quality varies across hundreds of providers, coding errors can become systemic. And systemic coding errors can quickly become compliance problems.  That dynamic has always been true, but the stakes are rising. Payers are increasingly using AI to scrutinize claims , sometimes retroactively reviewing medical necessity on claims that were already approved and paid out. MDaudit's 2025 benchmark report lays it out in stark terms: Payer audit at-risk amounts have risen 30% year over year Outpatient coding-related denials climbed another 26% in 2025 after a 126% spike the year before More than 25% of providers failed audits in both professional and hospital settings For health systems and physician groups, the bar is pretty clear at this point: if you can't show why you coded something the way...

  A denied claim or lower-than-expected physician compensation tend to send people looking at coding first. But follow the trail back far enough, and you usually end up in the same place: the documentation. A clinician charts a patient’s visit, but the note lacks the specificity required for accurate coding. The claim either gets denied or paid at a lower rate than the care warranted. Nobody connects the dots until the pattern has been compounding for months, sometimes across hundreds of providers. So why is clinical documentation improvement important? Because these patterns are fixable, but until recently, there hasn't been a practical way to address them at scale in high-volume settings. The Two Levels Where Documentation Gaps Hurt : Documentation problems create financial consequences at two levels, and most organizations are only focused on one of them. The organizational level At the health system or physician group level, the impact of clinical documentation on reimbursement...

  AI-related vendor noise in the healthcare market has reached a fever pitch. Every company claims to have built the next big AI tool for healthcare, and the cumulative noise makes it hard to know what's real. Health organizations are trying to make sense of that noise while making technology decisions that affect their revenue, compliance, clinical workflows, and staff. The cost of a wrong choice is high. KLAS Research has become one of the most trusted sources of independent validation in healthcare IT for this reason. Through direct interviews with customers, KLAS evaluates how technology vendors perform after implementation, in real-world healthcare settings. Arintra recently earned an overall performance score of 93* out of 100 in a KLAS Emerging Company Spotlight report. More on those findings, and on how KLAS shapes vendor evaluation in healthcare, below. What Does KLAS Stand for in Healthcare? Despite the name, KLAS is not an acronym. KLAS Research is an independent healthc...

  This is an all-too-common story. A patient shows up for a 15-minute appointment with a list of issues that takes 45 minutes to work through. The physician talks through each concern, counsels, prescribes medications, makes referrals, and schedules follow-up labs. Later, when the physician codes the patient's chart and sends it to billing, they enter a code for a 15-minute visit because they are afraid of denials or compliance issues. The problem isn’t that they documented the wrong thing. It’s that they don’t have confidence that they can defend a higher-level code if a payer pushes back. So they take 80 cents on the dollar rather than risk losing the whole dollar to a denial. This problem is not particular to one practice. Physician undercoding is a persistent and costly issue in independent practices and is driven by a lack of defensibility. Physicians spend hours every week navigating administrative and billing decisions they were never trained for, and without a clear, explai...

Physicians didn’t train to code—but it’s consuming hours every week and creating audit risk, delays, and revenue loss. In this webinar, we’ll show how leading practices are removing coding entirely—without changing workflows or adding new systems. Key Learning Objectives Relieving Administrative Burden Why 15+ hours of weekly admin burden persists even in optimized EHR environments Audit Exposure How coding errors and inconsistency create personal audit exposure for physicians Speeding Up Reimbursement How coding disputes slow reimbursement and strain revenue cycle teams Autonomous Coding in Action What autonomous coding inside Athena looks like in practice, and how it works without changing physician workflow Know More About Physicians Don't Have to Code Anymore: How Athena Practices Are Reclaiming Valuable Hours

Arintra , a GenAI-native autonomous medical coding platform for health systems and physician groups, today announced the publication of a KLAS Emerging Company Spotlight report based on customer experiences with the Arintra platform. The report validates that customers selected Arintra for its vision and transparency, saw real-world results, and committed for the long term. The report, Arintra Autonomous Medical Coding 2026 , is based on interviews with Arintra customers across large health systems, physician groups, and more. Arintra received an overall performance score of 93 out of 100, with A and A+ grades across the majority of key performance indicators, including an A+ on partnership and fair and transparent charging, and A grades on solution capabilities and likelihood to recommend. Customers told KLAS they selected Arintra for its detailed product roadmap, vendor honesty, and the ability to grow with the solution, with customers noting that Arintra's functionality was...

Exciting to see this moment for administrative AI, and to see Arintra firmly on the map alongside strong company that’s pushing the category forward. What matters most is that GenAI is finally translating into measurable revenue outcomes for health systems. AI’s most immediate impact in healthcare is showing up where it counts: getting paid accurately and on time. As margins tighten, this isn’t a “nice to have," it’s foundational. Christina Farr’s article reflects what we’re seeing at Arintra every day. AI’s real impact is showing up in revenue-critical workflows like coding, billing, and denials, where accuracy and speed determine whether health systems get paid fully and on time.   Know More About The Only RCM Market Map You Need

  From billing bottlenecks to reimbursement roadblocks, healthcare revenue cycles are riddled with friction. RCM companies are changing that with solutions designed to smooth every step Becker’s has compiled a list of 385+ companies with expertise in healthcare revenue cycle management solutions. Note: This list was compiled using nominations . This list is not exhaustive, nor is it an endorsement of included organizations. Revenue cycle management companies do not and cannot pay for inclusion on this list. This list is not a ranking or rating, and companies are listed in alphabetical order. 4D Global (Scottsdale, Ariz.). 4D Global is a healthcare RCM company blending highly skilled professionals with advanced technology and automation tools. The company takes a consultative approach, combining U.S.-based oversight with the efficiency, revenue maximization and outcome improvements delivered by its dedicated offshore team. Know More About 385+ Revenue Cycle Management Companies to K...

  Since adopting Arintra’s AI platform for medical coding in 2023, Mercyhealth has seen a 5.1% rise in revenue and a 50% decline in its days in accounts receivable. The AI-powered platform automates coding, spots documentation gaps and generates claims tailored to specific payers. With hospitals facing ongoing financial pressures, including rising costs and declining reimbursement rates, they’re looking for tools that not only improve efficiency — but also increase revenue. Mercyhealth seems to have found a tool that is accomplishing both feats for its health system. The system, based in northern Illinois and southern Wisconsin, has six hospitals and 85 primary and specialty care clinics. In 2023, it began using Arintra ’s platform, which uses AI to automate coding and identify missed opportunities for reimbursement — and since then, Mercyhealth said it has seen a 5.1% jump in revenue. Know More About How Arintra's Coding AI Helped Mercyhealth Boost Revenue by 5%

The IT leaders recognized on this list are driving forward-thinking strategies that create meaningful improvements for both patients and providers. In close collaboration with their teams, they are modernizing hospitals and health systems through initiatives such as EHR enhancements, AI integration, strengthened cybersecurity frameworks and more. Chief information officers leverage cutting-edge technologies to streamline operations and elevate care delivery. The IT leaders recognized on this list are driving forward-thinking strategies that create meaningful improvements for both patients and providers. In close collaboration with their teams, they are modernizing hospitals and health systems through initiatives such as EHR enhancements, AI integration, strengthened cybersecurity frameworks and more. Know More About 135 Hospital and Health System CIOs to Know | 2026

  Arintra , the leading GenAI-native autonomous medical coding platform for healthcare organizations, today announced its platform has earned certified status from HITRUST for cybersecurity and information protection. The HITRUST e1 Certification demonstrates that Arintra has met requirements defined by a leading cybersecurity assurance leader, confirming that strong controls are in place to protect sensitive data and manage risk effectively.  Built on the HITRUST Assurance Program, this achievement reflects independent third-party testing, centralized quality assurance, and certification backed by HITRUST’s Cyber Threat-Adaptive engine. These elements ensure continuous alignment with the latest threat intelligence and evolving standards across NIST, ISO, and OWASP. “Security is fundamental to how we build at Arintra,” said Preeti Bhargava, PhD, CTO and Co-Founder of Arintra. “Our customers trust us with highly sensitive data, and this certification further reinforces that we’...

  Autonomous coding vendors all have a version of very similar-sounding pitches. Everyone promises the same combination of accuracy, speed, and financial impact. The claims overlap so much that evaluating one platform against another based on vendor materials alone is genuinely difficult for buyers. Independently validated, customer-driven research exists for exactly this reason: to capture what organizations experience after the contract is signed and the platform is working in the real world. KLAS Research, widely regarded as one of the most trusted independent voices in healthcare IT, recently published a KLAS Emerging Company Spotlight report on Arintra's autonomous medical coding platform. The report, Arintra Autonomous Medical Coding 2026: Improving Coding Accuracy & Efficiency with AI-Driven Automation , is based on interviews with customers across large health systems, physician groups, and more, evaluating their experiences in categories including partnership, solution...

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...

  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...

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

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

  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

  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...