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Maverick Medical AI has completed deploying its real-time autonomous AI-powered medical coding solution across all 399 RadNet (NASDAQ: RDNT) sites. The mCoder solution, which uses deep learning and synthetic data generation, has processed over 10 million medical reports to date, generating reimbursement codes in real-time. RadNet plans to implement Maverick CodePilot™ into radiologists’ workflow, enabling them to resolve coding-related issues before signing reports. The implementation has significantly increased RadNet’s direct-to-bill rate, reducing errors, avoiding billing backlogs, and easing administrative burden.
Maverick Medical AI ha completato il dispiegamento della sua soluzione di codifica medica autonoma in tempo reale basata su AI in tutti e 399 i siti di RadNet (NASDAQ: RDNT). La soluzione mCoder, che utilizza l’apprendimento profondo e la generazione di dati sintetici, ha elaborato oltre 10 milioni di rapporti medici fino ad oggi, generando codici di rimborso in tempo reale. RadNet prevede di implementare Maverick CodePilot™ nel flusso di lavoro dei radiologi, consentendo loro di risolvere i problemi di codifica prima di firmare i rapporti. L’implementazione ha notevolmente aumentato il tasso di fatturazione diretta di RadNet, riducendo gli errori, evitando accumuli di fatturazione e alleggerendo il carico amministrativo.
Maverick Medical AI ha completado el despliegue de su solución de codificación médica autónoma en tiempo real impulsada por IA en los 399 sitios de RadNet (NASDAQ: RDNT). La solución mCoder, que utiliza aprendizaje profundo y generación de datos sintéticos, ha procesado más de 10 millones de informes médicos hasta la fecha, generando códigos de reembolso en tiempo real. RadNet planea implementar Maverick CodePilot™ en el flujo de trabajo de los radiólogos, permitiéndoles resolver problemas relacionados con la codificación antes de firmar los informes. La implementación ha aumentado significativamente la tasa de facturación directa de RadNet, reduciendo errores, evitando retrasos en la facturación y aliviando la carga administrativa.
Maverick Medical AI는 모든 399개 RadNet (NASDAQ: RDNT) 사이트에서 실시간 자율 AI 기반 의료 코딩 솔루션을 배포 완료했습니다. 딥 러닝과 합성 데이터 생성을 사용하는 mCoder 솔루션은 현재까지 1000만 개 이상의 의료 보고서를 처리하여 실시간으로 환급 코드를 생성했습니다. RadNet는 방사선과 의사들의 작업 흐름에 Maverick CodePilot™를 구현할 계획이며, 이를 통해 보고서 서명 전에 코딩 관련 문제를 해결할 수 있도록 합니다. 이 구현은 RadNet의 직접 청구 비율을 크게 증가시키고 오류를 줄이며 청구 지연을 방지하고 행정적 부담을 경감하는 데 기여했습니다.
Maverick Medical AI a terminé le déploiement de sa solution de codage médical autonome en temps réel alimentée par l’IA dans tous les 399 sites de RadNet (NASDAQ: RDNT). La solution mCoder, qui utilise l’apprentissage profond et la génération de données synthétiques, a traité plus de 10 millions de rapports médicaux à ce jour, générant des codes de remboursement en temps réel. RadNet envisage de mettre en œuvre Maverick CodePilot™ dans le flux de travail des radiologues, leur permettant de résoudre les problèmes de codage avant de signer les rapports. Cette mise en œuvre a considérablement augmenté le taux de facturation directe de RadNet, réduisant les erreurs, évitant les retards de facturation et allégeant la charge administrative.
Maverick Medical AI hat den Einsatz seiner Echtzeit-Autonomie-AI-basierten medizinischen Codierungslösung an allen 399 RadNet (NASDAQ: RDNT) Standorten abgeschlossen. Die mCoder-Lösung, die Deep Learning und die Generierung synthetischer Daten nutzt, hat bisher über 10 Millionen medizinische Berichte verarbeitet und dabei in Echtzeit Rückforderungs-Codes generiert. RadNet plant, Maverick CodePilot™ in den Workflow der Radiologen zu integrieren, damit diese codierungsbezogene Probleme lösen können, bevor sie Berichte unterzeichnen. Die Implementierung hat die direkte Abrechnungsquote von RadNet erheblich erhöht, Fehler reduziert, Rückstände bei der Abrechnung vermieden und die administrative Last erleichtert.
Positive
- Successfully deployed AI medical coding solution across all 399 RadNet sites
- Processed over 10 million medical reports to date
- Significant increase in direct-to-bill rate
- Real-time code generation reducing billing backlogs
- Reduced administrative burden and coding errors
Insights
The successful implementation of Maverick Medical AI’s autonomous coding solution across RadNet’s 399 sites represents a significant operational advancement. Processing over 10 million medical reports demonstrates robust scalability and reliability. The real-time coding capability directly impacts revenue cycle efficiency by reducing billing delays and administrative overhead.
The integration of CodePilot™ into radiologists’ workflow will further streamline operations by enabling immediate coding issue resolution. This enhancement should reduce report addenda and follow-up requirements, leading to faster reimbursement cycles. The reported increase in direct-to-bill rate suggests improved coding accuracy and reduced payment delays, which could positively impact RadNet’s cash flow and operational efficiency.
This technological implementation has substantial financial implications for RadNet’s operations. By automating medical coding in real-time, the company can expect reduced labor costs, faster revenue recognition and improved cash flow management. The reduction in billing backlogs and coding errors should translate to lower accounts receivable days and improved working capital efficiency.
The system’s ability to process millions of reports while maintaining accuracy suggests significant cost savings in coding operations. The upcoming CodePilot™ integration should further enhance these benefits by reducing costly administrative rework and accelerating the billing cycle. These improvements in operational efficiency could positively impact RadNet’s profit margins and financial performance.
Successful deployment achieved across all RadNet sites and 10 million medical reports processed to date
WILMINGTON, Del.–(BUSINESS WIRE)– Maverick Medical AI announced today the completion of a successful deployment of its real-time autonomous AI-powered medical coding solution across all 399 sites of RadNet, Inc. (NASDAQ: RDNT), a national leader in providing high-quality, cost-effective outpatient diagnostic imaging services.
RadNet integrated Maverick Medical AI’s mCoder solution to automate the medical coding process. Using deep learning and synthetic data generation, mCoder analyzes reports to accurately generate reimbursement codes in real-time. RadNet has successfully 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, RadNet’s senior vice-president of I.T.
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.”
“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,” said Maverick AI CEO Yossi Shahak.
About Maverick Medical AI
Maverick Medical AI revolutionizes medical coding for healthcare providers with its AI-powered real-time Autonomous Medical Coding platform. By combining in-depth knowledge of medical coding with advanced large language models and deep learning technologies, Maverick’s platform autonomously analyzes clinical notes and reports to generate accurate medical codes.
We overcome revenue cycle challenges by seamlessly integrating Medical Coding operations with Point-of-Care in real-time to optimize reimbursement. Maverick significantly surpasses industry standards with an 85% Direct-to-Bill rate, automating the medical coding process to enhance efficiency, reduce the workload on human coders, and minimize errors. This automation ensures a smoother, more reliable, and consistent revenue cycle process for healthcare providers.
For more information, visit: www.maverick-ai.com/
About RadNet
RadNet, Inc., is the leading national provider of freestanding, fixed-site diagnostic imaging services and related information technology solutions (including artificial intelligence) in the United States based on the number of locations and annual imaging revenue. RadNet has a network of 399 owned and/or operated outpatient imaging centers. RadNet’s markets include Arizona, California, Delaware, Florida, Maryland, New Jersey, New York and Texas. In addition, RadNet provides radiology information technology and artificial intelligence solutions marketed under the DeepHealth brand and other related products and services to customers in the diagnostic imaging industry. Together with affiliated radiologists, and inclusive of full-time and per diem employees and technologists, RadNet has a total of over 10,000 employees. For more information, visit http://www.radnet.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20241201085315/en/
Michael Wong | VP Marketing
MAVERICK MEDICAL AI
M| 416-723-6843
W| http://www.maverick-ai.com/
Source: Maverick Medical AI
FAQ
How many RadNet sites have implemented Maverick Medical AI’s coding solution?
Maverick Medical AI’s coding solution has been implemented across all 399 RadNet (RDNT) sites.
How many medical reports has RadNet (RDNT) processed using Maverick’s technology?
RadNet has successfully processed more than 10 million medical reports using Maverick’s technology.
What is the new feature RadNet (RDNT) plans to implement in their radiologist workflow?
RadNet plans to implement Maverick CodePilot™, providing an interactive real-time interface for radiologists to resolve coding-related omissions before signing reports.
What are the main benefits of Maverick’s AI coding solution for RadNet (RDNT)?
The solution provides real-time medical coding, reduces errors, avoids billing backlogs, eases administrative burden on radiologists, and has significantly increased the direct-to-bill rate.
