Vvc Holding Corporation

Eric Wu

Wei Huang

Aftab Hassan

Jau-Huei Lin

Methods and systems are provided for mapping clinical terminology with natural language processing. In one embodiment, an example method includes generating a word relationship graph for a plurality of mappings between a first code set and a second code set, receiving a first code of the first code set, and automatically mapping a second code of the second code set to the first code based on the word relationship graph. In this way, seemingly different code descriptions from different medical vocabularies may be automatically mapped to each other with reduced processing and reduced human intervention.

Clinical terminology mapping with natural language processing

Apparatus, systems, devices, other articles of manufacture and associated methods are disclosed and described herein to process medical data to generate a classification of the medical data using artificial intelligence. An example apparatus includes a processor to execute instructions to implement a history of past illness (HPI) receiver to receive an HPI formatted as a string, the string including one or more words, the words organized in sentences, a natural language processor to tokenize the one or more words into tokens based on a context associated with at least one of the one or more words and a tensor generator to convert the tokens into hashes, each of the hashes forming a dimension of a tensor based on the context. The apparatus further includes a neural network to embed each of the hashes into vectors, process the vectors to classify the HPI as extended or brief based on a similarity to a set of classified HPIs and output a classification for the HPI. The apparatus further includes an electronic medical record modifier to modify an electronic medical record with the HPI and the classification and to trigger an action with respect to the electronic medical record based on the classification.

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Mukilteo, WA, United States of America

Eric Wu