Presenter Bio:

Daniel Buckland MD PhD is an Assistant Professor of Emergency Medicine and Mechanical Engineering at Duke University. He does research in Robotics and Automation as the Director of the Duke Acute Care Technology Lab and serves as the Medical Director of the Laboratory of Transformative Administration, an operational data science group responsible for deploying and maintaining machine learning models in the clinical operations of the Department of Surgery. Dr. Buckland is also the Deputy Chair of the Human System Risk Board of the Office of the Chief Health and Medical Officer via an Intergovernmental Personnel Act agreement with NASA, where he determines the human system risk of spaceflight and how standards, countermeasures, and mission design can mitigate risk.



Abstract:

Autonomy in Safety Critical Systems has long been a goal in healthcare, as well as an underpinning assumption in the progress of human spaceflight from Low Earth Orbit to the exploration of the Moon and Mars. In both contexts the ideal use of autonomy requires the end user to also be the operator or supervisor of the system, whether expertly trained in the operation of the system or not. This talk will present experimental results that explore the development of an autonomous clinical procedure device to make maps of vascular structures in the human body, and the trust untrained operators have in its use. Further applications of these results in the deployment of automated resource allocation in clinical workflows and the use of autonomous medical care in the mitigation of human system risk in spaceflight will also be presented.