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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 tested a pediatric voice therapy telehealth system and found that it was feasible to implement and well accepted by children and their families.
This study examined the relationships between the stage of electronic health record adoption, missed nursing care, and the nursing practice environment’s adverse effect on hospitalized patients’ outcomes and satisfaction.
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 a conceptual framework and communications infrastructure for the Patient-Centered Medical Home (PCMH) model.