Grants and Contributions:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

There are many signature features hidden in the performance video that can be used for unveiling the quality ofx000D
the performance and furthering the expertise of healthcare performers. In Canada, approximately 1.5 millionx000D
endoscopic procedures were performed each year on patients suffering from problems in their gastrointestinalx000D
(GI) system. Cases performed by incompetent persons can lead to complication at the cost of patients. Lesionsx000D
inside the GI system may be overlooked by human performers under certain circumstances. Reviewingx000D
endoscopic videos can help us to find those missing lesions and further grade the quality of performance donex000D
by the healthcare providers. The challenge we face is that video-analysis is time-consuming. A fast videox000D
analysis algorithm developed by the ScopeMedia Inc. in Vancouver provides an opportunity for analysing ax000D
large volume of videos.x000D
This proposed project has two objectives. First, we aim to investigate whether expert endoscopists display ax000D
certain type of movement behaviors distinguishing them from novice performers; if there are, what thosex000D
behaviors are. Second, we like to see if this new video analysis algorithm can detect an abnormality/lesionx000D
inside the gastrointestinal track that had been skipped/ignored by the human performer. We will present thex000D
rationales and research methods to these two search objectives in the session below.x000D
The innovative technology developed by the joint research team between ScopeMedia Inc. and the Surgicalx000D
Simulation Research Lab at University of Alberta can enhance health service and patient safety.