Our technology has the flexibility to handle the way people really speak—with varying accents, dialects, styles, and speeds. Our speech recognition engine consistently outperforms competitive technologies.

Our patented approach to speech understanding does more than recognize a few words at a time. It looks for meaning from the entire conversation, and then uses that understanding to create the most accurate, complete, and meaningful healthcare documentation.

Our technology learns from experience by monitoring its own performance, and by adapting to edits made by reviewers. This continuous learning improves the accuracy of word selection, data structuring, and meaning capture.

Our technology gleans meaning from spoken words and organizes it automatically into meaningful categories, readying it for use in electronic health record systems and medical reports.

As our services process dictation, they encode clinical facts, like medications, dosages, allergies, measurements like blood pressure readings, and much more. Then we structure these facts to make them more accessible and more useful.

M*Modal is committed to healthcare standards and interoperability. Our Meaningful Clinical Documents are built on HL7’s Clinical Document Architecture (CDA).