Search found 18 items
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.
This study examined clinical decision task complexity to guide the design of innovative clinical decision support to for high-level reasoning in complex decision tasks.
This study developed a thorough understanding of paper tools that nurses use to organize patient information and identified four major concepts.
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 worked to develop and implement two health information technology (IT) applications to improve care transitions from the hospital setting to the ambulatory and home settings.
This project used a mixed-method approach to investigate the validity of using electronic health record data for diabetes performance measures.
This project developed a Veterans Affairs-optimized fracture absolute risk assessment rule for identifying males at highest risk of osteoporotic fracture.
This project identified clinicians’ information needs and designed, developed, implemented, and evaluated a knowledge-delivery prototype to help clinicians meet those needs.