CodaMetrix provides an artificial intelligence (AI) powered platform for autonomous medical coding across multiple specialties, including radiology, pathology, surgery, gastroenterology, and inpatient professional coding. The company's technology utilizes machine learning, deep learning, and natural language processing to analyze clinical notes and patient records, automatically assigning appropriate medical codes for billing and insurance purposes.
CodaMetrix's platform aims to address the inefficiencies and challenges faced by healthcare providers in the revenue cycle management process. Medical coding is a time-consuming and error-prone task, often leading to claim denials, delayed payments, and administrative burden on healthcare professionals. By automating the coding process, CodaMetrix enables providers to reduce coding costs by up to 60%, decrease claim denials by 70%, and accelerate time to cash by five weeks on average.
Founded in 2019 and initially developed at Massachusetts General Brigham (MGB), CodaMetrix has since partnered with leading healthcare systems across the US. As of March 2024, the company's platform is utilized by over a dozen provider organizations and health systems, representing more than 200 hospitals and 50,000 providers. Notable clients include MGB, University of Colorado Medicine, Mount Sinai Health System, Yale Medicine, Henry Ford Health, and the University of Miami Health System.
In March 2024, CodaMetrix secured USD 40 million in Series B funding led by Transformation Capital, bringing the company's total funding to USD 95 million. The capital raised will be utilized to further enhance CodaMetrix's AI solutions, improve coding quality, enrich claims data with clinical insights, and alleviate administrative burdens on healthcare providers.
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