Search found 33 items
This research will implement in pharmacies a patient-reported outcomes collection tool, PatientToc™, to collect data around medication adherence that can be used by pharmacists to improve adherence.
This project will examine health information exchange (HIE) usage patterns, the barriers and facilitators of HIE use, and the impact of HIE use by emergency department clinicians.
This project will enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
The goal of this project is to design and test an information technology called Power to the People to support self-care management among older patients with chronic heart failure.
This project will clarify the relationship between “pull” and “push” health information exchange usage in primary care settings, and determine the impact of each approach on potentially avoidable and costly health care utilization.
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.
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 will enhance an existing Web-based portal, myADHDportal.com, to integrate behavioral tools alongside existing medication management tools for attention deficit hyperactivity disorder (ADHD).
This project will develop decision support tools that integrate with electronic health records to increase the quality and effectiveness of chronic pain care.