Search found 8 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.
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.
Explored health IT as a method of sharing patient information and developed an electronic health record for patients who utilize rural, urban, acute, and rehabilitation facilities.
Implemented an ambulatory EMR in multiple rural primary and specialist care provider settings and measures the impact of health information technology on clinical practice, organizational structure, and financial benefits; integrated ambulatory electronic medical record case scenarios into the curricula of the Health Science and Human Services Department to ensure that future health care providers have adequate training and exposure to ambulatory EMR technology.