Maverick Medical Ai And Radnet Deploy Ai For U.s. Medical Coding

By Author: Arina Smith
Total Articles: 185
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Maverick Medical AI, also known as Maverick, is a trailblazer in the healthcare industry, offering an innovative and autonomous AI-powered medical coding platform. Recently, Maverick announced a strategic partnership with RadNet, Inc. (NASDAQ: RDNT), a prominent national provider of free-standing, fixed-site radiology diagnostic imaging services in the United States.

The collaboration aims to enhance RadNet's revenue cycle management process, reduce operational costs, and increase reimbursement through the integration of Maverick's Autonomous Medical Coding platform. This platform has already been successfully deployed within RadNet's extensive network of imaging centers.

Maverick's Autonomous Medical Coding platform is a fusion of medical coding domain knowledge and state-of-the-art machine learning and generative AI. It autonomously analyzes clinical notes and reports, accurately generating reimbursement codes (ICD-10, CPT) in real-time. This allows for charges to be available to billing systems within seconds, significantly improving efficiency.

One notable feature of Maverick's platform is its auditing ...
... capabilities. It enables RadNet's medical coding team to review pre-populated reimbursement codes promptly. The platform's active learning functionality collects real-time feedback from auditors and medical coders, allowing it to adapt without human intervention. This adaptability results in a substantial boost in productivity.

RadNet's Senior Vice President of Information Technology, Susan Hollabaugh, emphasized the rigorous selection process that led to choosing Maverick. The year-long assessment considered key criteria such as cutting-edge generative AI technology, support for MIPS quality measures, a real-time radiologist interface for addendum creation, and the ability to adapt continuously to evolving coding guidelines and regulations. The successful pilot of Maverick's generative AI engine on 350,000 studies achieved an unprecedented 85 percent direct-to-bill rate.

Yossi Shahak, CEO of Maverick Medical AI, highlighted the platform's transformative impact on medical coding efficiency. The integration with RadNet's AI informatics platform, DeepHealth, spans all 360-plus imaging sites in their nationwide network, ensuring a superior direct-to-bill rate. Maverick aims not only to streamline medical coding processes but also to reduce errors and shape the future of medical coding by replacing legacy computer-assisted coding systems.

Maverick Medical AI specializes in automating medical coding processes for healthcare providers, including imaging centers and hospitals. The platform's personalized approach leads to decreased operational expenses, reduced denials, and an increased direct-to-bill percentage. The proprietary deep learning generative AI models and synthetic data generation capabilities make Maverick a standout solution for medical coding needs.

RadNet, Inc. is a leading national provider of freestanding, fixed-site diagnostic imaging services in the United States. With a network of 366 owned and/or operated outpatient imaging centers, RadNet serves various markets, including California, Maryland, Delaware, New Jersey, New York, Florida, and Arizona. The company, along with its affiliated radiologists and a workforce of approximately 9,000 employees, focuses on delivering diagnostic imaging services and related information technology solutions, including artificial intelligence.

In conclusion, Maverick Medical AI's collaboration with RadNet signifies a groundbreaking advancement in the healthcare industry. By leveraging Maverick's Autonomous Medical Coding platform, RadNet aims to optimize its operations, reduce costs, and enhance reimbursement processes across its extensive network of imaging centers.

For more detailed information, you can visit Maverick Medical AI's website and RadNet's website.