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The study assessed perspectives on electronic health record safety recommendations and found that physicians generally agreed with the recommendations, despite not being familiar with them.
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 assessed quality measurement performance and electronic health record (EHR) implementation and found that EHR reminders were associated with improved performance.