Dr. John McMenamy | Health Professions | Best Researcher Award
Dr. John McMenamy, Denver Health & Hospital Authority, United States
Dr. John McMenamy, MD, MBA, CPE, CMQ, is a distinguished radiologist specializing in neuroradiology and diagnostic imaging. Born in St. Louis, Missouri, he has over two decades of experience in medical imaging and healthcare leadership. Currently serving as Associate Professor at the University of Colorado School of Medicine and Associate Chair of Radiology at Denver Health, Dr. McMenamy has been instrumental in advancing radiological practices and integrating innovative technologies to enhance patient care. His commitment to excellence is evident in his efforts to streamline clinical operations, implement AI-driven imaging solutions, and foster a culture of continuous improvement within healthcare systems. Beyond his clinical duties, he is recognized for his contributions to medical education and quality improvement initiatives, making significant strides in optimizing healthcare delivery and patient outcomes.
Professional Profile
John McMenamy, MD, MBA: Suitability for the Research for Best Researcher Award
Dr. John McMenamy, MD, MBA, stands out as an exceptional candidate for the Research for Best Researcher Award due to his comprehensive contributions to clinical radiology, operational efficiency, and leadership in healthcare innovation. His educational background, consisting of an MD from the University of Texas Medical School and an MBA from the University of Massachusetts, Amherst, coupled with specialized postdoctoral training, provides a solid foundation for his leadership in radiology. With certifications in radiology and clinical quality, Dr. McMenamy has proven himself as a subject matter expert in medical imaging and healthcare management.
His leadership roles, particularly as the Associate Chair of the Department of Radiology at Denver Health, demonstrate a track record of advancing clinical operations, quality, and safety improvements. Dr. McMenamy has significantly contributed to the optimization of imaging workflows, including the implementation of artificial intelligence (AI) platforms and dual-energy CT (DECT) to improve diagnostic accuracy and patient outcomes. His strategic vision for Denver Health's Radiology Department, developed collaboratively with colleagues, has had a profound impact on patient experience, clinical efficiency, and cost-saving measures. For instance, his initiative to implement an AI-assisted workflow increased CT capacity by 36%, while improving radiologist productivity and turnaround times by over 20%.
Education
Dr. McMenamy's academic journey began with dual Bachelor of Science and Bachelor of Arts degrees in Biology from Truman State University in 2000. He earned his Doctor of Medicine from the University of Texas Medical School at Houston in 2004. Following this, he completed an internal medicine internship at SSM St. Mary's Health Center in St. Louis. He pursued a residency in Radiology and a fellowship in Neuroradiology at the University of Texas Southwestern Medical Center, concluding in 2010. To augment his clinical expertise with administrative acumen, Dr. McMenamy obtained an MBA from the University of Massachusetts, Amherst, in 2017. His commitment to quality improvement is further demonstrated by his participation in the Clinical Quality Fellowship Program through the Greater New York Hospital Association/United Hospital Fund. He holds certifications from the American Board of Radiology in Diagnostic Radiology and Neuroradiology, as well as credentials in medical quality and physician executive leadership.
Professional Experience
Dr. John McMenamy's professional career is marked by leadership roles and clinical excellence. At Denver Health, he serves as Associate Chair of Radiology, where he oversees clinical operations, IT integration, and quality initiatives. His tenure includes the development of strategic visions and operational frameworks that have enhanced departmental efficiency and patient care. Dr. McMenamy has been pivotal in implementing AI-assisted diagnostic tools, optimizing imaging protocols, and improving emergency department workflows. His previous roles include faculty appointments at NYU School of Medicine, where he contributed to academic and clinical advancements in radiology. His expertise extends to disaster preparedness and mass casualty incident response, reflecting a comprehensive approach to healthcare delivery. Through collaborative efforts with multidisciplinary teams, he has successfully led initiatives that reduced unnecessary imaging, improved turnaround times, and enhanced overall patient experience. His career exemplifies a commitment to innovation, education, and quality in the medical field.
Awards and Recognition
Dr. McMenamy's contributions to medicine have earned him numerous accolades. He is a Certified Physician Executive (CPE) and holds the Certified in Medical Quality (CMQ) designation, reflecting his dedication to healthcare excellence. His leadership in radiology has been recognized through appointments to key positions at Denver Health and the University of Colorado School of Medicine. He has been instrumental in implementing high-reliability organizational practices, leading to improved trauma imaging performance and patient outcomes. His work in standardizing inpatient MRI workflows has been highlighted by the Greater New York Hospital Association, showcasing his impact on healthcare quality and efficiency. Dr. McMenamy's research and publications in peer-reviewed journals further underscore his commitment to advancing medical knowledge and practice. His peers and institutions have consistently acknowledged his innovative approaches and dedication to improving healthcare systems.
Research Skills On Health Professions
Dr. McMenamy possesses extensive research expertise in radiology, with a focus on neuroradiology, trauma imaging, and the integration of artificial intelligence in clinical workflows. His scholarly work includes studies on imaging techniques for necrotizing fasciitis, facial fractures, and the application of AI to enhance emergency department CT capacity. He has contributed to the development of high-reliability organizational approaches to improve trauma imaging performance, emphasizing the importance of culture and teamwork in healthcare settings. His research on the performance of noncontrast CT stroke platforms demonstrates his commitment to advancing diagnostic accuracy and patient care. Dr. McMenamy's ability to translate complex research findings into practical applications has significantly impacted clinical protocols and patient outcomes. His collaborative efforts with multidisciplinary teams highlight his skill in integrating research into everyday medical practice, ensuring that innovations directly benefit patients and healthcare systems.
Publication Top Notes
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Electronic Health Record Improvements to Reduce Emergency Department CT Prescan Times at a Safety Net Hospital
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Authors: Hardik Patel, Mouna Chebaane, Rolando G. Gerena, Corey A. Thompson, Adam Schwertner, Bradley D. Shy, David M. Naeger, John McMenamy
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Journal: Journal of the American College of Radiology
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Year: 2025
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A “High-Reliability Organization” Approach to Improve Trauma Imaging Performance
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Authors: John McMenamy, Ahmad Garada, Sergey Kochkine, Randy Miles, David M. Naeger
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Journal: Journal of the American College of Radiology
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Year: 2023
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Brainstorming Our Way to Improved Quality, Safety, and Resident Wellness in a Resource-Limited Emergency Department
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Authors: Luke A. Ginocchio, John Rogener, Ryan Chung, Xi Xue, Dean Tarnovsky, John McMenamy
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Journal: Current Problems in Diagnostic Radiology
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Year: 2022
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Assistance from Automated Aspects Software Improves Reader Performance
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Authors: Not listed
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Journal: Journal of Stroke & Cerebrovascular Diseases
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Year: 2021
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A Resident-driven Intervention to Decrease Door-to-needle Time and Increase Resident Satisfaction in a Resource-limited Setting
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Authors: Not listed
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Journal: Neurology
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Year: 2018
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A Resident-driven Intervention to Decrease Door-to-needle Time and Increase Resident Satisfaction in a Resource-limited Setting
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Authors: Not listed
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Journal: Stroke
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Year: 2018
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Use of a Referring Physician Survey to Direct and Evaluate Department-Wide Radiology Quality Improvement Efforts
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Authors: Not listed
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Journal: Journal of the American College of Radiology
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Year: 2015
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MDCT Diagnosis of Acute Pulmonary Embolism in the Emergent Setting
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Authors: Not listed
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Journal: Emergency Radiology
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Year: 2015
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Differentiating Shunt-Responsive Normal Pressure Hydrocephalus from Alzheimer Disease and Normal Aging: Pilot Study Using Automated MRI Brain Tissue Segmentation
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Authors: Not listed
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Journal: Journal of Neurology
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Year: 2014
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MRI of the Petromastoid Canal in Children
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Authors: Not listed
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Journal: Journal of Magnetic Resonance Imaging
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Year: 2014
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