This study investigated the feasibility of extracting medication information from non-structured electronic clinical sources within an electronic health record.
This research project explored an innovative method to retrieve clinically relevant images for facilitating timely and accurate evaluation of diabetic retinopathy.
This project developed nine obesity care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
This project designed and validated a new diabetes quality of care process measure.
This study was designed to reduce guideline ambiguities, improve efficiency, and create and evaluate tools to facilitate the writing of comprehensive and implementable guidelines.
This project refined a set of asthma care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
This project adapted and tested a virtual patient advocate to interact with patients after hospital discharge to address the problems of discontinuity and fragmentation of care that occur in the transition from the hospital to the ambulatory setting.
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 project modified an existing virtual patient advocate (VPA), a clinical patient education system, to become a health education tool directed towards young African-American women.
This project developed and tested the impact of a virtual patient on the clinical approach of primary care providers at a community health center serving refugee patients.
