Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Lauren Kennedy-Metz, Ph.D.

Title
Institution
Department
Address
Profile Picture
Other Positions
Title
Institution
Department

Biography
Roanoke College, Salem, VABS05/2014Psychology, Neuroscience, Creative Writing
Virginia Tech, Roanoke, VAPhD10/2018Human Factors, Psychophysiology
Harvard Medical School, Boston, MAPostdoc07/2020Psychophysiology, Surgical Data Science

Overview
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.

Featured Content

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Abi-Jaoudé JG, Kennedy-Metz LR, Dias RD, Yule SJ, Zenati MA. Measuring and Improving Emotional Intelligence in Surgery: A Systematic Review. Ann Surg. 2022 02 01; 275(2):e353-e360. PMID: 34171871.
    Citations:    Fields:    Translation:Humans
  2. Seo S, Kennedy-Metz LR, Zenati MA, Shah JA, Dias RD, Unhelkar VV. Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. IEEE CogSIMA (2021). 2021 May; 2021:39-44. PMID: 35253018.
    Citations:    
  3. Kennedy-Metz LR, Dias RD, Zenati MA. The Cognitive Relevance of a Formal Pre-incision Time-out in Surgery. ECCE. 2021 Apr; 2021. PMID: 34676380.
    Citations:    
  4. Kennedy-Metz LR, Barbeito A, Dias RD, Zenati MA. Importance of high-performing teams in the cardiovascular intensive care unit. J Thorac Cardiovasc Surg. 2022 03; 163(3):1096-1104. PMID: 33931232.
    Citations:    Fields:    Translation:Humans
  5. Zenati MA, Dias RD, Kennedy-Metz LR. Commentary: Nontechnical skills redux. J Thorac Cardiovasc Surg. 2021 Feb 26. PMID: 33773815.
    Citations:    Fields:    
  6. Kennedy-Metz LR, Dias RD, Srey R, Rance GC, Conboy HM, Haime ME, Quin JA, Yule SJ, Zenati MA. Analysis of Dynamic Changes in Cognitive Workload During Cardiac Surgery Perfusionists' Interactions With the Cardiopulmonary Bypass Pump. Hum Factors. 2021 08; 63(5):757-771. PMID: 33327770.
    Citations:    Fields:    Translation:Humans
  7. Kennedy-Metz LR, Mascagni P, Torralba A, Dias RD, Perona P, Shah JA, Padoy N, Zenati MA. Computer Vision in the Operating Room: Opportunities and Caveats. IEEE Trans Med Robot Bionics. 2021 Feb; 3(1):2-10. PMID: 33644703.
    Citations: 2     
  8. Kennedy-Metz LR, Dias RD, Srey R, Rance GC, Furlanello C, Zenati MA. Sensors for Continuous Monitoring of Surgeon's Cognitive Workload in the Cardiac Operating Room. Sensors (Basel). 2020 Nov 19; 20(22). PMID: 33227967.
    Citations: 2     Fields:    Translation:Humans
  9. Kennedy-Metz LR, Bizzego A, Dias RD, Furlanello C, Esposito G, Zenati MA. Feasibility of Healthcare Providers' Autonomic Activation Recognition in Real-Life Cardiac Surgery Using Noninvasive Sensors. HCI Int 2020 Late Break Posters (2020). 2020 Jul; 1293:402-408. PMID: 33659965.
    Citations:    
  10. Kennedy-Metz LR, Bizzego A, Esposito G, Dias RD, Zenati MA, Furlanello C. Autonomic Activity and Surgical Flow Disruptions in Healthcare Providers during Cardiac Surgery. IEEE CogSIMA (2020). 2020 Aug; 2020. PMID: 34350424.
    Citations:    
  11. Conboy HM, Kennedy-Metz LR, Avrunin GS, Clarke LA, Osterweil LJ, Dias RD, Zenati MA. Digital Cognitive Aids to Support Adaptation of Surgical Processes to COVID-19 Protective Policies. IEEE CogSIMA (2020). 2020 Aug; 2020:205-210. PMID: 34723287.
    Citations:    
  12. Kennedy-Metz LR, Dias RD, Stevens RH, Yule SJ, Zenati MA. Analysis of Mirrored Psychophysiological Change of Cardiac Surgery Team Members During Open Surgery. J Surg Educ. 2021 Mar-Apr; 78(2):622-629. PMID: 32863172.
    Citations: 3     Fields:    Translation:Humans
  13. Kennedy-Metz LR, Wolfe HL, Dias RD, Yule SJ, Zenati MA. Surgery Task Load Index in Cardiac Surgery: Measuring Cognitive Load Among Teams. Surg Innov. 2020 Dec; 27(6):602-607. PMID: 32938323.
    Citations: 2     Fields:    Translation:Humans
  14. Zenati MA, Kennedy-Metz L, Dias RD. Cognitive Engineering to Improve Patient Safety and Outcomes in Cardiothoracic Surgery. Semin Thorac Cardiovasc Surg. 2020 Spring; 32(1):1-7. PMID: 31629782.
    Citations: 13     Fields:    Translation:Humans
  15. Kennedy-Metz L, Weiss P, Parker SH. Results of exploratory investigation into adherence to auditory coping instructions during an acutely stressful task. Stress. 2020 03; 23(2):144-152. PMID: 31451024.
    Citations: 1     Fields:    Translation:Humans
  16. Zenati MA, Leissner KB, Zorca S, Kennedy-Metz L, Yule SJ, Dias RD. First Reported Use of Team Cognitive Workload for Root Cause Analysis in Cardiac Surgery. Semin Thorac Cardiovasc Surg. 2019; 31(3):394-396. PMID: 30578828.
    Citations: 6     Fields:    Translation:Humans
Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile: HMS/HSDM faculty should contact contactcatalyst.harvard.edu. For faculty or fellow appointment updates and changes, please ask your appointing department to contact HMS. For fellow personal and demographic information, contact HMS Human Resources at human_resourceshms.harvard.edu. For faculty personal and demographic information, contact HMS Office for Faculty Affairs at facappthms.harvard.edu.
Kennedy-Metz's Networks
Click the
Explore
buttons for more information and interactive visualizations!
Concepts (38)
Explore
_
Co-Authors (5)
Explore
_
Similar People (60)
Explore
_
Same Department 
Explore
_
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.