Search found 47 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 use Learning Health System methods to systematically apply U.S. Preventive Services Task Force’s evidence-based recommendations with the goal of advancing individualized precision prevention.
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 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 research took an existing sepsis-related clinical decision support (CDS) and developed, tested, implemented, and validated a knowledge-based artificial intelligence-enhanced sepsis CDS.
This project will develop and test the effectiveness of a mobile application to help patients with hypertension reduce their dietary sodium intake by using mobile notifications at grocery stores and restaurants.
This project will develop decision support tools that integrate with electronic health records to increase the quality and effectiveness of chronic pain care.