What You Should Know:
– Maverick Medical AI, a provider of an innovative and autonomous AI-powered medical coding platform forms a strategic partnership with RadNet, Inc., a national provider of free-standing, fixed-site radiology diagnostic imaging services in the United States.
– This groundbreaking partnership will integrate Maverick’s Autonomous Medical Coding platform into RadNet’s extensive network of imaging centers, paving the way for significant advancements in revenue cycle management, operational efficiency, and reimbursement optimization.
Maverick’s AI-Powered Medical Coding Platform: A Game-Changer for RadNet
Maverick’s Autonomous Medical Coding platform has already been successfully deployed within RadNet’s network of imaging centers, demonstrating its ability to seamlessly integrate with DeepHealth, RadNet’s AI-powered health informatics system. This integration further strengthens RadNet’s commitment to innovation and its pursuit of groundbreaking advancements in care delivery.
Leveraging cutting-edge machine learning and generative AI, Maverick’s platform revolutionizes medical coding by autonomously analyzing clinical notes and reports to accurately generate reimbursement codes (ICD-10, CPT) in real-time. This capability significantly streamlines the coding process, enabling charges to be readily available to billing systems within seconds.
Key Capabilities Driving Efficiency and Accuracy
A cornerstone of Maverick’s platform is its robust auditing feature, empowering RadNet’s medical coding team to review pre-populated reimbursement codes promptly and efficiently. Additionally, the platform’s active learning capabilities enable real-time feedback collection from auditors and medical coders, fostering continuous adaptation without manual intervention. This dynamic approach results in a substantial boost in productivity and accuracy.
RadNet’s Rigorous Selection Process and Unprecedented Results
Prior to selecting Maverick as its AI-powered medical coding partner, RadNet conducted a thorough year-long assessment of various autonomous coding platforms. The company’s decision was driven by a comprehensive set of criteria, including the requirement for cutting-edge generative AI technology, support for MIPS quality measures, the development of a real-time radiologist interface for addendum creation, and the ability for the platform to continuously adapt to evolving coding guidelines and regulations.
To further validate Maverick’s capabilities, RadNet conducted a successful pilot of Maverick’s generative AI engine on 350,000 studies. The results were astounding, achieving an unprecedented 85 percent direct-to-bill rate, a testament to the platform’s exceptional precision and efficiency.
Transforming Medical Coding for the Future
“Our platform’s ability to seamlessly blend the power of deep learning generative AI and medical coding domain knowledge has proven to significantly transform medical coding efficiency,” stated Yossi Shahak, CEO of Maverick Medical AI. “Our integration with RadNet’s AI informatics platform, DeepHealth, will span all 360-plus imaging sites in their nationwide network, ensuring a superior direct-to-bill rate. By replacing legacy computer-assisted coding systems with Maverick Medical AI, we are not just streamlining medical coding processes, but also reducing errors and shaping the future of medical coding.”
