Search found 85 items
This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
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 research team designed and developed “Invention INC,” an interactive nutrition comic for dietary self-management, focused on reducing childhood obesity risk in urban minority youth.
This project will analyze and model the information requirements, decisionmaking, and workflow of homecare nurses admitting patients and characterize if and how health information technology systems support their needs.
This project designed and conducted a usability evaluation of dashboards that provide feedback to home care nurses to improve the care of patients with chronic heart failure, and found that the dashboard prototype had high usability and was evaluated positively by users.
This project developed, implemented, and evaluated a program that includes clinical decision support to improve diagnosis of hypertension in children.
This project developed and pilot tested an electronic after-visit summary (AVS) that incorporated evidence-based strategies for communicating printed health information to patients and determined best practices for future AVS development.
This project developed a diabetes data visualization mobile application for adolescents and found that clinical and contextual data provided greater opportunity for self management and problem solving.
This project tested a mobile health application’s impact on reducing readmissions among patients with cirrhosis within 30 days of hospital discharge, and found it to be usable and feasible.
This project tested a mobile health application for HIV symptom management for people living with HIV and found an improvement in symptoms.