- Remove Michigan filter Michigan
Search found 28 items
This research aims to create, develop, and implement a decision support tool that clarifies the risk tradeoffs for anticoagulation in atrial fibrillation.
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 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 research developed and evaluated mobile application messages that assisted individuals with hypertension to adhere to a low-sodium diet.
This project examined the prevalence of variation in electronic health record documentation in physician practice, its causes, effects, and strategies to mitigate its potential for harm.
This project tested the impact of a training module that teaches clinicians how to best communicate with patients in the presence of an electronic health record and found improvements in provider communication skills, but no impact on patient outcomes.
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 study focuses on the use of eHealth in cancer survivors and will identify determinants of eHealth activity, provide insight into the role of eHealth in survivors’ overall personal health information management, and establish survivor-centered design principles for optimized eHealth tool development.
This research studied how communication technologies facilitate or hinder communication between nurses and physicians with the ultimate goal of supporting effective communication.
This project developed a tool to promote activation, communication, engagement, and self-management of pediatric blood and marrow transplant patients and their parents and found that patient-centric tools can successfully engage caregivers in hospital care.