Jay Naik, MD
Assistant Professor
Bio
Dr. Naik is an academic internist and physician innovator whose work focuses on the intersection of clinical medicine, artificial intelligence, and healthcare systems transformation. As Vice Chair for Clinical Innovation, he leads initiatives that evaluate and implement emerging technologies to improve clinical workflows, patient care delivery, and operational efficiency.
His academic interests include AI in medical education, gamification in patient care (including mobility and rehabilitation), and bridging the gap between medicine, technology, and entrepreneurship. He is deeply involved in teaching trainees about healthcare innovation and the business of medicine, and he has developed novel curricula integrating clinical care with technology, venture capital, and system design.
Dr. Naik is also actively engaged in multidisciplinary collaboration through healthcare hackathons, where he works with engineers, students, and industry partners to rapidly prototype and scale impactful healthcare solutions.
Affiliation & Leadership
Dr. Jay Naik is Assistant Professor of Medicine at Rutgers Robert Wood Johnson Medical School and Vice Chair for Clinical Innovation in the Department of Medicine. He also serves as Director of the Healthcare Leadership and Management Track and Core Faculty in the Internal Medicine Residency Program, where he leads curriculum development focused on innovation, entrepreneurship, and the business of medicine.
He is Co-founder and Co-director of Rutgers Health Hack, a multidisciplinary initiative that partners with leading technology companies to accelerate healthcare innovation.
Education & Training
Dr. Naik is an academic internist and physician innovator whose work focuses on the intersection of clinical medicine, artificial intelligence, and healthcare systems transformation. As Vice Chair for Clinical Innovation, he leads initiatives that evaluate and implement emerging technologies to improve clinical workflows, patient care delivery, and operational efficiency.
His academic interests include AI in medical education, gamification in patient care (including mobility and rehabilitation), and bridging the gap between medicine, technology, and entrepreneurship. He is deeply involved in teaching trainees about healthcare innovation and the business of medicine, and he has developed novel curricula integrating clinical care with technology, venture capital, and system design.
Dr. Naik is also actively engaged in multidisciplinary collaboration through healthcare hackathons, where he works with engineers, students, and industry partners to rapidly prototype and scale impactful healthcare solutions.
Awards & Honors
Excellence in Teaching Award, Rutgers Robert Wood Johnson Medical School (2023, 2021)
1st Place Grand Prize Mentor, Yale Healthcare Hackathon (2022)
Nilesh K. Tamakuwala Memorial Award for Best Teaching Attending, Penn Medicine Princeton Medical Center (2020)
Alpha Omega Alpha Honor Medical Society (2019)
Teaching Star Award, Albert Einstein College of Medicine (2019)
Active Projects & Research
Dr. Naik's current work centers on:
AI-driven clinical innovation, including evaluation and implementation of emerging technologies in healthcare systems including the YOOMI platform to improve inpatient mobility
Medical education innovation, particularly the use of large language models and AI in clinical training and assessment
Healthcare entrepreneurship and hackathons, fostering multidisciplinary collaboration and rapid prototyping
He is also involved in institutional quality improvement initiatives and serves in leadership roles on hospital committees focused on process improvement, patient safety, and VTE prevention.
Publications
Naik J, et al. YOOMI: Effect of AI-Guided Gamified Physical Therapy Exercise Software on Inpatient Mobility. Journal of the American Geriatrics Society. 2026.
Koduri V, et al., including Naik J. Machine Learning for Medical Student Learning: Can LLMs Evaluate Clinical Encounters? IEEE DPDAHS Workshop.
Benjamin Blitz, Jay Naik MD, Rahul Mittal MD, "AI in Medical Education and Medicine Practice: A Cross Sectional Survey of Use, Confidence, and Curricular Priorities." Society of Hospital Medicine Converge Poster Presentation, April 2026.