
Jeff Clement
Education:
-
MBA 2014University of Maryland, R.H. Smith School of Business
-
Bachelor of Science 2008Mechanical Engineering Georgia Institute of Technology
-
Emergency Medical Technician (EMT) 2021NREMT
Expertise:
-
AI-Augmented Decision-Making
-
Professional Teams
-
Healthcare and Pharmaceutical Industries
-
Emergency/Prehospital Care
Biography
My research is focused on the interactions between people and AI/robots, especially how users interpret information from AI or machine learning systems and how those interpretations shape decisions. I am examining how healthcare providers and patients incorporate AI recommendations in care decisions, particularly in special care/rare disease management like solid organ transplant. I also study how AI agents are perceived and added to teams in professional environments.
My corporate experience includes several years in the healthcare industry as a Brand Manager and Marketing Director, focusing on the intersection of clinical and commercial aspects of special care and rare disease management. I am also a registered Emergency Medical Technician (EMT), which helps ground my research in healthcare decision-making.
Prior to working in industry, I was an officer in the United States Marine Corps. I deployed to Afghanistan twice, first as a truck platoon commander and then combat operations planning officer.
Selected Works & Activities.
-
Whole BooksThe Lieutenant Don't Know: One Marine's Story of Warfare and Combat Logistics in Afghanistan
-
Journal ArticlesR. Manning, J. Clement, D. Kim, W. Singhose. Dynamics and Control of Bridge Cranes Transporting Distributed-Mass Payloads. Journal of Dynamic Systems, Measurement and Control. 132(1), 014505 (Dec 18, 2009) doi:10.1115/1.4000657.
-
Current Research
Clement J, Jacobi M and Greenwood BN. Patient Access to Chronic Medications During the COVID-19 Pandemic: Evidence from a Comprehensive Dataset of US Insurance Claims (November 26, 2020). Available at SSRN: https://ssrn.com/abstract=3738323
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3738323