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Search found 4 items
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 tested a pediatric voice therapy telehealth system and found that it was feasible to implement and well accepted by children and their families.
This project evaluated the impact of an integrated care coordination information system (ICCIS) on the outcomes and satisfaction of patients with chronic and complex illnesses.
This project refined a set of asthma care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.