Maverick Medical AI announced the completion of a deployment of its real-time autonomous AI-powered medical coding solution across all 399 sites of RadNet.
RadNet integrated Maverick Medical AI’s mCoder solution to automate the medical coding process. Using deep learning and synthetic data generation, mCoder analyses reports to accurately generate reimbursement codes in real-time. RadNet has processed more than 10 million reports using Maverick’s technology to date.
“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,” said Susan Hollabaugh, the senior vice-president of IT at RadNet’s.
In the near future, RadNet intends to implement the recently launched Maverick CodePilot into radiologists’ reporting workflow, providing an interactive real-time interface for radiologists. Once integrated, Radiologists will be able to resolve coding-related omissions before signing their reports, thereby reducing the need for addenda and manual follow-up with radiologists which often result in billing delays.
“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,” adds Hollabaugh. “We look forward to providing our radiologists with real-time coding assistance, reducing the need for coding-related addenda.”
Yossi Shahak, the CEO at Maverick AI, said, “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 realise 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.”
Comment on this article via X: @IoTNow_ and visit our homepage IoT Now
