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This research will develop, test, and evaluate a vendor-agnostic platform for clinical decision support rules that can be made available to any commercial electronic health record.
This project will develop and validate new measures needed for automatically identifying violations of the “Five Rights of Medication Safety”: right patient, right dose, right medication, right route, and right frequency.
This project will develop a patient-based dashboard to improve cognitive hygiene in the emergency department, aiding in the diagnosis of acute coronary syndrome.
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 study aimed to improve care transitions for low-income patients with multiple chronic conditions using health information exchange, and found significant reductions in inpatient and emergency department utilization.