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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 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 evaluated the Pharmaceutical Safety Tracking (PhaST) system, which monitors medication safety in children and adolescents who are taking antidepressants.
The purpose of this project was to examine the feasibility of developing an electronic health information network to provide clinicians with patients' medical information during care transfers and found that, while feasible, there are significant barriers to information exchange.
This project developed an implementation plan for pharmacy and medication-related health information systems in critical access hospitals, and included an on-site health IT survey, two planning conferences, and an assessment of resources.