Search found 13 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 study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
This project assessed provider mental workload and performance while processing electronic abnormal test results and found that a test result tracking mechanism improved physicians’ clinical performance.
This project enhanced the Children’s Electronic Health Record Format (Format) by identifying a high priority set of 47 functional requirements from the initial larger set, and creating a list of 16 recommended uses of the Format along with implementation notes.
This project assessed and made recommendations about draft Stage 3 Meaningful Use objectives in the areas of care coordination and patient and family engagement.
Using a community-based participatory partnership, this project will delineate the factors that facilitate or limit the use of electronic personal health information management.
This project evaluated the multiple work activities, roles, and technologies in six primary care practices that introduced new health information technology tools in their redesign of care coordination.
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 designed and developed a clinical decision support tool called VisualDecisionLinc (VDL) to aid in the initial treatment strategies for major depressive disorder.
This project used a mixed-method approach to investigate the validity of using electronic health record data for diabetes performance measures.