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This project will determine the impact of using telemedicine to serve children with special healthcare needs living in rural and underserved communities.
This project aims to improve access to high quality mental health services for diverse populations by implementing asynchronous telepsychiatry consultations combined with automated online interpreting.
This study will design a user-centered smartphone application linked to a smart pill box with the goal of improving medication adherence for people living with HIV.
This research combined the artificial intelligence technology technique Dynamic Logic with natural language processing to create a model to predict risk of death over the next 12 months and found it was better than benchmark statistical and machine learning algorithms.
This project expanded and modified the Child Health Improvement through Computer Automation (CHICA) system to assist pediatricians in identifying and managing four common medical-legal problems that may adversely impact child health, and found initial findings to be inconclusive.
This project developed and validated a new disability diagnostic tool that allowed emergency department physicians to connect patients to better healthcare referrals and proper long-term care services.