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.
Focusing on the work environment of nurses, this project will study the organizational conditions under which electronic health records function best in hospitals and their potential to improve the outcomes of medical-surgical patients.
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
This project established the feasibility of extracting quality indicators from hospice electronic medical records for comparative effectiveness research.
This project implemented an electronic health record-based weight loss maintenance intervention and found medium-term success for patients assigned to the intervention.
This study assessed the barriers, facilitators, and impact of implementing an electronic health record in a home care agency, and developed recommendations for Meaningful Use (MU) objectives in long-term and post-acute care settings.
This project implemented and evaluated an ambulatory electronic health record integrated with an inpatient perinatal system and found that increased information availability enabled providers to identify problems and respond with more intensive 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.