Yue Dong, M.D., is a patient safety and health care delivery researcher in the Multidisciplinary Epidemiology and Translational Research in Intensive Care (METRIC) group. He works in collaboration with faculty from Mayo Clinic Multidisciplinary Simulation Center and Mayo Clinic's Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery Health Care Systems Engineering Program.
Dr. Dong uses various systems of engineering to conduct health care delivery research, including field observation, failure mode effective analysis, workflow analysis and redesign, and usability testing of information systems.
- Dr. Dong uses various simulations and modeling tools to study health care delivery systems to improve patient safety and care quality in the intensive care unit and acute care settings. Dr. Dong has expertise in using discrete event simulation to model patient workflow, study system performance and identify care-process bottlenecks. He also studies design and test quality improvement innovations before clinical implementation.
- Using in-situ simulation, Dr. Dong evaluates human performance variation under different stress test conditions such as fatigue, cognition and workload stressors.
- Dr. Dong conducts testing for health care information technology and medical devices.
- Dr. Dong studies the effectiveness of simulation-based medical education (SBME) by establishing valid outcome measurements and stretch measurement endpoints from simulation lab to clinical practice, and providing highly reliable data for future high-stakes testing.
- Dr. Dong conducts training and implementation of novel health care information technology and measures its impact on health care delivery.
Significance to patient care
Dr. Dong's simulation-education research will help guide better training for health care professionals on simulation technology and valid assessment instrumentation. His research of system simulation-based design and testing will examine the effectiveness of different health care operation management strategies addressing complexity, emergency cost escalation and quality deficiencies. Simulation-based interventions for training, research and systems integration can provide a platform for generation and evaluation of many innovations to minimize potential errors during the health care delivery process and improve the overall safety and quality of health care delivery systems.
- Co-chair, Asian-Pacific Meeting on Simulation in Healthcare, Shanghai, 2013