RapidClaims harnesses AI-driven automation to accurately map clinical documentation to billing codes, adapting seamlessly to each client’s unique documentation styles and coding standards. Our proprietary AI models, built and maintained in-house, incorporate machine learning, deep learning, and natural language processing (NLP) to deliver high-accuracy coding without reliance on third-party AI vendors. This ensures full control, continuous innovation, and superior customization for optimized medical coding and claims processing.

RapidClaims operates with HIPAA compliance at its core, implementing both technical and procedural safeguards to ensure the highest standards of data security and regulatory adherence. Our platform maintains ISO 27001 and SOC 2 Type 2 compliance while enforcing encryption in motion and at rest, full audit trails, Information Security Management Systems (ISMS), third-party penetration testing, static and dynamic code vulnerability scanning, role-based security, and a least privileged access model. These controls ensure secure, compliant, and resilient AI-driven medical coding and claims automation.

RapidClaims is dedicated to reducing claim denials through AI-driven autonomous coding, achieving a 30% reduction in denials compared to manual processes. Our solution minimizes reliance on human coders, optimizes coding accuracy and compliance, and continuously improves by analyzing denial patterns shared by customers. By enhancing coding efficiency and accuracy, RapidClaims helps lower costs, improve revenue by 2%, and ensure regulatory compliance, with cost reduction being the primary driver of ROI.

CodaMetrix leverages AI technologies in our platform to learn relationships between clinical documentation and billing codes, as well as to adapt to each customer's unique documentation styles and coding standards. We develop and maintain our own proprietary AI algorithms in-house, including machine learning, deep learning, and natural language processing capabilities. We do not rely on or partner with any third-party AI/machine learning vendors.

The CMX Insights™ Platform displays information about charge related data received from the Customer’s EHR system, including cases which have been automated and those that have been passed along to the Customer’s existing manual solution or processed manually. The analytics can be accessed to understand why a charge was automatically coded and provides evidence of all coding decisions and predictions. Finally, CMX Insights™ are used to analyze volumes processed by date range, and case-specific information. Dashboards include but are not limited to: - Real-time performance - Financial impact analytics - Productivity monitoring - Denial management tracking

CodaMetrix has implemented both the technical and procedural safeguards to operate with HIPAA compliance at the forefront. CMX has achieved ISO 27001 certifications and SOC 2 Type 2 compliance in addition to implementing the necessary controls (encryption in motion and at rest, full audit trail, ISMS, 3rd party penetration testing, static and dynamic code vulnerability scanning, role-based security, least privileged security model, etc).

CodaMetrix is committed to reducing denials through our autonomous coding solution. We have proven to reduce denials by more than 50-60% compared to manual coding. For example, a study of radiology claims at Mass General Brigham showed that denials-for-coding dropped by more than 58.7% after implementing CodaMetrix. We also analyze denials information shared by customers to improve our artificial intelligence and autonomous coding capabilities.