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For the past several years, the conversation around AI in medical coding has been dominated by a single question: How much of the coding process can actually be automated? It’s an understandable question. Health systems continue to face mounting pressure from workforce shortages, increasingly complex coding requirements, evolving payer expectations, and persistent financial challenges. AI has demonstrated that it can help address many of these issues, particularly by accelerating routine coding tasks and improving consistency.

But in my conversations with healthcare leaders across the country, I have noticed a shift in the conversation. The organizations making the most meaningful progress aren’t asking how to remove people from the process. Instead, they’re asking how to combine AI with the expertise of experienced coding professionals to improve accuracy, strengthen compliance, and create more resilient coding operations.

Electronic Health Reporter »

CTI Technical Services, based in the Philadelphia area, provides comprehensive IT solutions, including managed services, cybersecurity, network design, and structured cabling for businesses, with a specialization in sectors like dental, education, and hospitality. Pulse 2.0 interviewed CTI Technical Services CEO Erik Eisen to learn more.

Healthcare finance leaders have long operated under a familiar assumption: financial risk becomes visible after a claim leaves the organization. Denials arrive. Audits begin. Payment delays appear. Teams then investigate, appeal, and recover what they can.

That assumption no longer reflects today’s reality. The most significant revenue threats now begin long before a claim reaches a payer.

Of the medical diagnoses that cause anxiety, sorrow, and despair for patients and their loved ones, Alzheimer’s is near the top of the list. An incurable condition that slowly robs people of memory, identity, and independence, Alzheimer’s puts immense financial and emotional burdens on families.

Wellesley, MA — July 15, 2026 — Payers are denying claims at AI-driven speed, often autoflagging and subsequently denying valid claims for provided care that hospitals and health systems must fight to recover. Benchmark data from MDaudit tells the story: payer audit volume and dollars at risk climbed 30% year over year, with coding-related denials up as much as 26%. Regulatory scrutiny of AI-assisted coding and documentation is also intensifying, contributing to rapidly growing audit backlogs.

Wellesley, MA — June 25, 2026 — In response to payer audits, coding-related denials, and complex compliance demands threatening millions of dollars in revenue, healthcare provider organizations are turning to MDaudit’s award-winning, AI-powered continuous risk monitoring platform, and they’re highly satisfied with the results.

In the complex ecosystem of modern healthcare, the battle is no longer fought only in operating rooms and patient wards. A second front has opened in the back office, a high-stakes conflict over revenue, compliance, and data. Here, healthcare organizations face a relentless barrage of payer audits, complex coding denials, and shifting regulations that threaten their financial stability. In this environment, a new class of defensive technology is emerging, and recent data suggests it’s having a decisive impact.

MDaudit, a company specializing in AI-powered risk monitoring, recently received an overall performance score of 94 out of 100 in a “First Look” report from KLAS Research, a firm renowned for its independent, provider-funded evaluations of healthcare technology. This score not only surpasses the Best in KLAS software average by nearly 13 points but also comes with A+ ratings from customers for partnership, innovation, and likelihood to recommend. While impressive on its own, this validation points to a much larger trend: the critical role of AI in building more resilient financial systems within our most essential institutions.

Brief Glance Intelligence»

WASHINGTON, D.C. – June 23, 2026 – In a reflection of its accelerating investment in AI, automation, data management, and company growth, AGS Health^® today announced the expansion of its executive leadership team. These appointments underscore the company’s commitment to delivering on the promise of revenue cycle AI through practical innovation, clinical expertise, and ROI-driven solutions. As a provider of tech-enabled revenue cycle management (RCM) solutions and a strategic growth partner to healthcare providers nationwide, AGS Health is focused on delivering measurable improvements in financial performance while enhancing the patient experience.

At first glance, the April 1, 2026, ICD 10 update from CMS and NCHS looks deceptively quiet. ICD 10 CM adds no new diagnosis codes, retires none, and leaves the Official Coding Guidelines untouched. It reads like a maintenance cycle, but that surface-level stability masks a more meaningful shift.

The 2026 update is less about what codes exist and more about how coders are expected to use them. It subtly changes the internal logic of classification, shifting decision-making away from structured hierarchies embedded in tabular instructions and toward greater reliance on clinical judgment and encounter context.

As CEO of the company, Ritesh focuses on driving growth and profitability for MDaudit with a customer-centric vision, strong team culture, and platform innovation. Ritesh has spent his entire career at the intersection of data, analytics and emerging technologies, transforming business models across various retail and consumer focused industries, including healthcare. Ritesh has 22+ years of experience working for leading professional services firms including PricewaterhouseCoopers(PwC), Hewlett-Packard(HP) and Knightsbridge Solutions before joining MDaudit.

The assessment comes from a HealthcareITToday interview with Ritesh Ramesh, CEO of MDaudit, an AI-powered continuous risk monitoring platform built for healthcare compliance and revenue integrity teams.

Ramesh described a compliance landscape in rapid transition — where the traditional model of periodic, internal audits is no longer adequate against a government enforcement posture using AI at scale.

Healthcare organizations operate in an increasingly complex financial environment where accuracy, speed and compliance directly impact profitability. As reimbursement models evolve and administrative burdens increase, hospitals and provider groups are turning to automation and artificial intelligence to optimize financial performance across the entire revenue cycle.

AGS Health unveils InnovationWorks, a new centre of excellence dedicated to transforming revenue cycle artificial intelligence from pilots into operational tools, supported by Amazon Web Services and tailored for complex healthcare environments.

AGS Health has launched InnovationWorks, a dedicated centre of excellence aimed at turning revenue cycle AI from a promising concept into tools that can be used in live hospital operations. The company says the initiative is designed to produce practical, return-on-investment-led applications for providers facing rising denial rates, labour shortages and mounting pressure on cash flow.

Noah News»

On June 8, AGS Health announced InnovationWorks™ — a dedicated center of excellence designed to take the hardest, most persistent unsolved problems in revenue cycle and build deployable, ROI-accountable solutions for health systems. Not pilots. Not proofs-of-concept. Solutions that ship.

The model is straightforward: InnovationWorks identifies the operational gaps where AI consistently fails to deliver, assembles internal expertise with external partners, and produces tools providers can actually run without a 12-month transformation program. The emphasis on "no complex transformation programs required" is deliberate — that's a direct shot at the implementation failure rate that's been quietly embarrassing enterprise RCM AI vendors for the past two years.