Datamede is an AI-powered charge capture and revenue cycle management (RCM) platform designed for Medical Groups, Managed Services, and Revenue Cycle Organizations. The software's core mission is to minimize administrative burdens, reduce physician burnout, and maximize revenue collection by automating the complex processes of charge capture, coding, and billing.
The platform leverages advanced algorithms and machine learning, including Generative AI, to identify billable items and services in real-time from Electronic Medical Records (EMRs), Electronic Health Records (EHRs), and other healthcare databases. This ensures all services are accurately documented and captured, significantly reducing revenue leakage and billing delays.
Key Features and Capabilities
- Mobile App for Physicians: A user-friendly native mobile application allows physicians to efficiently and accurately capture patient encounter information at the point of care using AI-powered dynamic templates. It also facilitates instant messaging between physicians and billers.
- Web Application & Analytics: The web app features an intuitive, fully customizable dashboard that provides 360° practice health insights on RCM metrics, billing efficiency, and financial performance, enabling data-driven decisions.
- Data Management & Integration: The platform includes a Central Patient Encounter Database for data aggregation and enrichment. A Rest API is available for seamless integration with existing billing systems and EMR/EHR systems, streamlining claims filing.
- Compliance & Security: Datamede supports system-driven compliance by automating documentation and coding with human oversight to adhere to evolving regulatory standards. It focuses on accurately capturing Risk Adjustment diagnoses and Quality Measures like MIPS and HEDIS. The platform utilizes End-to-End Encryption to protect data integrity and ensure security.
Datamede is positioned as a technology partner for modern healthcare operations, transforming the business of medicine through AI-powered automation.




