Medical language processing: sustainable architecture and value creation

Fri, 03/11/2016 - 1:30pm

Jung-wei Fan, PhD

Co-Investigator, Enhanced Computer-aided Diagnosis through Data Mining & Natural Language Processing
Kaiser Permanente

Friday, March 11th | 1:30 pm 

Drachman Hall A112

Medical language processing (MLP) is an informatics sub-discipline that applies natural language processing techniques to extract information from unstructured medical texts. MLP has been shown to be useful in diverse use cases and is a highly pursued component in any well-rounded analytics suite. However, sound architecture for MLP is usually compromised in research-oriented environment, due to limited incentive and/or resource. Based on successful experience from a large health organization, the presentation will share critical considerations in architecting an MLP infrastructure that robustly supports both research and business operation. Several projects on medical coding, preventive medicine, and consumer health will be presented to demonstrate the value created byleveraging the infrastructure.

Please RSVP to ckenost@email.arizona.edu