Search found 9 items
This research will enhance and test a tool which uses natural language processing to provide a real-time assessment of dialog during motivational interviewing training.
This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
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 study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
The overall objective of this project was to study the impacts of health information technology implementation on workflow processes in six primary and specialty ambulatory care practices.
This project sought to reduce the use of emergency department services for non-urgent care by improving access to primary care physicians for Medicaid patients via the electronic medical record.
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 a care transition information transfer system to improve provider-to-provider communication and standardize the discharge process.
Planned the development and implementation of a health IT infrastructure throughout three rural counties, including high-speed Internet access, CPOE, CDSS, EHR, and continuity of care record templates.