The overall goal is to develop and assess the impact of standardized and generalizable simulation-based training, and user interface and cognitive workflows enhancements on radiation therapy (RT) providers’ performance and mental workload. The resulting knowledge from this study will help to enhance RT providers’ ability to detect and manage uncommon but potentially lethal events, and thus maximize patient safety.
The team included:
PI: Lukasz Mazur, Phd, Assistant Professor, UNC Radiation Oncology Department
Co-investigators:
Lawrence Marks, Dr. Sidney K. Simon Distinguished Professor of Oncology Research, UNC Radiation Oncology Department
Bhisham Chera, MD, Assistant Professor, UNC Radiation Oncology Department
Prithima Mosaly, Phd, Assistant Professor, UNC Radiation Oncology Department
Sha Chang, Associate Professor, UNC Radiation Oncology Department
Robert Adams, Phd, Head of Dosimetry and Therapy and Assistant Professor, UNC Radiation Oncology Department
Flavio Frohlich, Phd, Assistant Professor in the Neuroscience Center, UNC School of Medicine
Marjorie Stiegler, MD, Associate Professor of Anesthesiology and the Director of Consortium of Anesthesiology Patient Safety and Experiential Learning (CAPSEL).
Stephen Pizer, PhD, Kenan Professor of Computer Science and an Adjunct Professor of Radiation Oncology, Radiology and Biomedical Engineering.
Greg Tracton, BA, Information Technology, PLUNC 3D expert, Programmer, UNC Radiation Oncology Department
Consultants:
Lesley Hoyle, BS, CMD, EMR expert, UNC Radiation Oncology Department
Dereck Merck, Phd, Assistant Professor of Diagnostic Imaging, Radiation Oncology, and Engineering at Brown University and the Director of Computer Vision & Image Analysis, Rhode Island Hospital.