Lauren Kennedy-Metz, Ph.D.
Instructor in Surgery
Brigham and Women's Hospital
Brigham and Women
75 Francis St
Boston MA 02115
Instructor in Surgery
Veterans Affairs Boston Healthcare System
|Roanoke College, Salem, VA||BS||05/2014||Psychology, Neuroscience, Creative Writing|
|Virginia Tech, Roanoke, VA||PhD||10/2018||Human Factors, Psychophysiology|
|Harvard Medical School, Boston, MA||Postdoc||07/2020||Psychophysiology, Surgical Data Science|
As an Instructor of Surgery and a member of the Medical Robotics and Computer Assisted Surgery (MRCAS) Lab led by Dr. Marco Zenati at the VA Boston Healthcare System and Harvard Medical School, my primary research interest is in applying human factors and psychophysiological approaches to enhancing surgical safety. My prior work in capturing and evaluating psychophysiological responses to experimental manipulations using electroencephalography, skin temperature, and electrocardiography (ECG) during computer-based tasks and high-fidelity medical simulation allows me to contribute expertise to complement our multi-disciplinary team as we evaluate how we can leverage psychophysiological signals to understand and support underlying mental states "in the wild".
I completed my doctoral studies in October of 2018, graduating from the department of Translational Biology, Medicine, and Health at Virginia Tech under the guidance of Dr. Sarah Henrickson Parker. My graduate research aimed to evaluate the format and impact of a biofeedback intervention (cognitive aid) on acute stress management of healthcare providers. Based on a similar foundation, my post-doctoral work in the MRCAS Lab incorporated analysis of psychophysiological changes among cardiac surgery team members to inform the ongoing development of an intra-operative cognitive aid in the form of a dynamic, context-aware checklist. This NIH-funded work (NHLBI, PI Zenati) is in collaboration with engineers, computer scientists, clinicians, and human factors specialists at Harvard Medical School, VA Boston Healthcare System, Brigham and Women's Hospital, Massachusetts General Hospital, and University of Massachusetts Amherst.
The goal of my future research is ultimately to contribute to enhanced surgical safety under high cognitive workload conditions by approaching the design of a biofeedback-driven cognitive aid. Evaluating this design to ensure optimal team mental models across healthcare providers has the potential to reduce medical error due to the negative effects of cognitive, environmental, and task-related factors. In this way, the greatest observed benefit is in the enhanced patient outcome.
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