Abstract

Early diagnosis of colorectal cancer results in better patient outcomes. Reported barriers to screening amongst non-responders, delays in diagnostic pathways, and current constraints in colonoscopy capacity contribute to delays in diagnosis. We hypothesise that changing the diagnostic paradigm through primary care based semi-automated robotic colonoscopy may improve access and engagement. This project involved development of a training programme with a simulation training model to understand the specific training needs and methods of fulfilling these for the potential ultimate users of primary care based robotic colonoscopy.