Project Summary:
A large amount of digital information is now documented during regular clinical care. This information, or data, could be used to better understand what makes people sick and how to make them better. The data could also be used to create artificial intelligence algorithms which help care providers during their work. When the data pertains to children, we do not know the circumstances under which it is acceptable to use it for research. Our project will figure out the context under which research using this data is acceptable to the public, and how people's opinions vary according to their identity. We believe there are many circumstances in which everybody is supportive of research using this data, but it can be hard as the data were not collected for research. To fix this, we will build a special data format with software that makes it easier to use the data for research. We will build an actual dataset from patients at the Hospital for Sick Children (SickKids) to test out our new data format and show that it works well. Finally, we will work with the groups which oversee ethical research at SickKids to create a new process for using our dataset in research. We hope our process makes it safer for already collected data to be used in improving the care of future patients.
Project Description:
The project's principal investigator is Alistair Johnson, and the other co-investigators are Dr. Mjaye Mazwi and Dr. Melissa McCradden. More information and the project funding decision can be found here.
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Funded
Project Role:
Co-Investigator
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(e.g type 1000 for 1,000)