This project will evaluate and compare different tools within electronic health records to assist pediatric primary care clinicians with providing higher quality childhood obesity care to help slow weight gain in children with obesity.
This project will formulate evidence-based recommendations for clinical decision support used by community pharmacist delivering medication therapy management. The goal is to reduce medication-related problems and improve health outcomes for chronically ill patients.
The goal of this project is to generate a systematic and replicable process for transforming evidence-based research findings, including findings from patient-centered outcomes research, into shareable clinical decision support (CDS) standards and a publicly available CDS prototype.
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 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.
Focusing on the work environment of nurses, this project will study the organizational conditions under which electronic health records function best in hospitals and their potential to improve the outcomes of medical-surgical patients.
This project will implement and evaluate a previously developed, interactive, patient-centered discharge toolkit to improve the transition of care from the inpatient to outpatient settings.
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 project developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.