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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.
The project team developed a technical brief on the current literature around core functionalities for pediatric electronic health records to describe current practice and to provide a framework for future research.
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 secure Web-based electronic health record for children with special health care needs called the Tennessee Child Health Profile.
Developed a database that includes diagnoses, health records, and educational information on children with special health care needs, with emphasis on children with genetic conditions and developmental disabilities. This information was made available to physicians via a secure Web-based system.