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This research will enhance and test a tool which uses natural language processing to provide a real-time assessment of dialog during motivational interviewing training.
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 research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
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 and tested a tablet-based decision aid to assist primary care providers in applying patient-reported outcomes to smoking cessation and found that the tool facilitated more conversations about smoking cessation between patients and providers.
This project tested a pediatric voice therapy telehealth system and found that it was feasible to implement and well accepted by children and their families.