Zhou, Li

This study investigated the feasibility of extracting medication information from non-structured electronic clinical sources within an electronic health record.

The overall goal of this study was to develop and assess a natural language processing application to facilitate medication reconciliation at the point of care.

This research studied errors in medical documents created with speech recognition software and developed natural language processing methods to detect such errors. 

The research team developed and evaluated a natural language processing allergy module that was used to study different types of allergies in an electronic health record.