Experts say that up to 80% of electronic health record data is unstructured text. This means some of the most valuable patient information is locked-up and underutilized.
Medical Search Technologies (MST) unlocks that data.
We’ve developed a natural language processing (NLP) and information extraction (IE) technology for the healthcare industry that creates structured data from unstructured data. MST’s core technology, ARE4, is an automated relationship extraction algorithm. When the engine is deployed, it finds relationships between sentence elements including subjects, verbs, objects, prepositional phrases and more. ARE4 is trained to processes the many nuances contained in unstructured medical data including headers, incomplete and run on sentences, misspellings as well as punctuation issues.