Search found 4 items
This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.
This project used a mixed-method approach to investigate the validity of using electronic health record data for diabetes performance measures.
This project developed, implemented, and evaluated the impact of a computerized tool to automatically identify tests with pending results at hospital discharge, and assist in communicating those to followup providers.
Created a secure infrastructure for communication among providers to allow electronic sharing of patient clinical information with hospitals and other physicians/health providers in the county, region, and State; also assessed the effectiveness of the system in improving workflow, timeliness and completeness of information, patient safety, continuity of care, and health outcomes.