Maverick Medical AI has announced the successful deployment of its real-time, AI-powered autonomous medical coding solution at all 399 RadNet, Inc. (NASDAQ: RDNT) locations. RadNet is a national leader in delivering high-quality, cost-effective outpatient diagnostic imaging services.
RadNet has successfully integrated Maverick Medical AI’s mCoder solution to automate its medical coding process, leveraging deep learning and synthetic data generation to analyze reports and generate accurate reimbursement codes in real-time. This implementation has enabled RadNet to process over 10 million reports using Maverick’s technology, significantly enhancing operational efficiency.
Susan Hollabaugh, RadNet’s senior vice president of IT, highlighted the benefits of real-time medical coding, stating, “When medical coding is performed in real-time, it helps us improve revenue cycle efficiency. Maverick’s solution enables us to reduce errors, avoid billing backlogs, and ease the administrative burden on our radiologists. Maverick’s medical coding is delivered to our systems in seconds.” This real-time processing has greatly reduced delays and administrative workloads, allowing RadNet to streamline its revenue cycle operations.
Looking ahead, RadNet plans to incorporate Maverick’s newly launched CodePilot™ into its radiologists’ reporting workflow. This interactive real-time interface will help radiologists resolve coding-related issues before signing off on reports, reducing the need for addenda and minimizing manual follow-ups that often lead to billing delays. Hollabaugh added, “Our implementation of Maverick’s solutions has resulted in a significant increase in our direct-to-bill rate, a testament to this technology’s effectiveness. We look forward to providing our radiologists with real-time coding assistance, reducing the need for coding-related addenda.”
Maverick Medical AI’s CEO, Yossi Shahak, emphasized the transformative impact of their technology on RadNet’s operations: “RadNet is the country’s largest outpatient imaging provider, and our solutions enable RadNet to harness deep learning and AI capabilities in medical coding to realize significant operational improvements. From radiologist workflow to revenue cycle operations, our real-time autonomous coding solution delivers benefits across the enterprise. We look forward to further collaboration.”
Maverick Medical AI has revolutionized medical coding with its AI-powered real-time Autonomous Medical Coding platform. Combining advanced deep learning technologies and large language models with extensive medical coding knowledge, Maverick’s platform autonomously analyzes clinical notes and reports to generate accurate medical codes. This automation enhances revenue cycle operations by optimizing reimbursement and significantly reducing human coder workloads and errors. Maverick’s platform delivers an industry-leading 85% Direct-to-Bill rate, ensuring a more efficient, reliable, and consistent process for healthcare providers.
About RadNet
RadNet, Inc. is the nation’s leading provider of freestanding, fixed-site diagnostic imaging services, operating 399 outpatient imaging centers across the U.S. The company offers a wide range of services, including artificial intelligence solutions, through its DeepHealth brand. RadNet serves markets in Arizona, California, Delaware, Florida, Maryland, New Jersey, New York, and Texas, and employs over 10,000 people, including radiologists and technologists.
