Konrad Samsel

Konrad is interested in how patient-generated health data (PGHD) can help AI-driven clinical decision support (CDS) systems become more patient-centered. More specifically, he is driven to investigate how the systematic collection of patient-reported health outcomes can complement caregiver-reported data and health indicators (i.e. lab results and technical details) to provide a better understanding of the impacts of clinical interventions on patients’ functional status and quality of life. He previously led a research project at the University of Toronto School of Cities examining the impacts of, and perspectives surrounding patient-reported measure (PRM) projects and outcome-driven healthcare initiatives. Before this, he held a fellowship at the University of Toronto Entrepreneurship Hatchery examining how health-IT could improve the quality of life in diabetic patients. He has also been a research assistant at Mount Sinai Hospital’s Division of Urology, a Laboratory Instructor at the Temerty Faculty of Medicine, and a Biomedical Engineering Capstone student at The University of Toronto’s Institute of Biomedical Engineering.