Jason M. Meunier
Papers
3
Total Citations
50
H-Index
3
About
Jason M. Meunier is a pioneering researcher at the intersection of emergency medicine and biomedical engineering, whose work focuses on the early detection and prediction of post-concussion syndrome (PCS) following mild traumatic brain injury (mTBI). His major contributions center on the development and validation of robotic assessment tools for neuromotor performance, deployed directly in busy urban emergency departments. Meunier’s landmark 2015 study demonstrated the feasibility of integrating a robotic assessment tool into a resource-constrained ED setting, proving that advanced technology can function effectively amid clinical chaos. His subsequent 2016 work, with 16 citations, broke new ground by showing that robotic neuromotor assessment at the time of injury could predict which patients would later develop post-concussion symptoms—a capability previously unavailable to clinicians. With over 50 combined citations across his key papers, Meunier has established a novel, objective method for identifying high-risk mTBI patients, addressing a critical gap in concussion care. His research offers a transformative tool for emergency physicians, enabling earlier intervention and personalized follow-up for concussion patients.
Research Focus
Key Achievements
Top Papers
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