Developing an AI-decision support tool for ED visits in oncology to augment compassion-centered care

Clinician Scientist, Sunnybrook Research Institute

Many cancer patients access the emergency department (ED). However, 60% of ED visits are preventable with limited tools to stratify risk groups and personalize care plans. Ultimately, this would avoid anxiety and distress. Here, William proposes to develop an artificial intelligence (AI)-guided decision support tool to improve management and follow-up strategies. The primary aim of his study is to augment patient satisfaction and compassionate care within the framework of AI technologies.