The Bachelor of Digital Health (Hons) students (DH1/22 and DH1/23) and the Master in Health Informatics and Analytics students (MHIA1/22 and MHIA1/23) from IMU participated in a virtual outbound student mobility programme with Rutgers University. This student mobility programme began on 15 March 2024 and concluded on 5 April 2024 where students participated in keynote sessions by faculties in Rutgers University and were involved in various discussions in latest topics in digital health.
The sessions and its related topics were conducted by:
Dr Maria Lorena Carlo Unda
Assistant Professor, Rutgers, The State University of New Jersey, Department of Health Informatics in Advanced Decision Making and AI.
Dr Suchismita Ray
Associate Professor, School of Health Professions, Rutgers Biomedical Health Sciences in Advanced Deep Learning and Image Analysis.
Dr Rahul Mittal
Assistant Professor, Rutgers, The State University of New Jersey, Department of Health Informatics in Advanced AR/VR Technologies.
Dr Dasantila Sherifi
Associate Professor, HIM Program Director, School of Health Professions, Rutgers Biomedical Health Sciences in Blockchain Technology.
Dr James McCarcum Lee Jr
President/Medical Director, Orange Orthopaedic Associates in Advanced AR/VR Technologies.
Some Feedback from Participants on this Virtual Mobility Programme
Dr Simranjeet Kaur (MHIA1/23 cohort):
“Recently, the series of lectures by professors at Rutgers University, USA was conducted to discuss and highlight the new emerging AI & ML technologies in healthcare. Various topics such as Advance Decision Making, Image Analysis, AR/ VR and blockchain were covered in detail to demonstrate their real-world implications. The sessions were totally informative and engaging. Faculty of Rutgers comes from diverse backgrounds which provided us with a rich learning experience. The lecturers were incredibly knowledgeable and are experts in their domain. It was interesting to know the various health informatics research conducted at Rutgers and use case examples of these technologies which they have already implemented. There was also a good exchange of knowledge about US healthcare and Malaysian healthcare systems. I particularly, enjoyed the lecture on AR/VR technology usage in healthcare, which gave a great overview of the potential for deep learning technologies to improve patient outcome through robotic assisted surgeries.
Overall, I would say the lectures were beneficial for all of us to form a base in advance health informatics technology. It was inspiring to see the innovative applications of such technologies and their potential impact on the healthcare system. I am sure these lectures have influenced each one of us present during the sessions in the way we think about AI in healthcare and sparked us all with new ideas of how to implement these technologies into healthcare system we are working at. I would like to thank you our School of Business & Technology (SOBT) for arranging such an opportunity for us to participate in this lecture series and gain some useful insights about the future of AI in healthcare.”
Dr Mohan Dass (MHIA1/23 cohort):
“The speakers provided in-depth lecture on various topics in digital health: the integration of AI in healthcare decision-making, advanced deep learning and image analysis from neurobehavioral research perspective, real-world applications of AR/VR and robotic technologies in orthopaedic practice and in-depth exploration of applying blockchain technology within the healthcare industry in the United States. The sessions also covered current and future trends in healthcare industry, providing participants with a forward-looking perspective.”
Aiswarya (MHIA1/22 cohort):
“The sessions have been incredibly beneficial for us in understanding the latest advancements in healthcare technologies. The presentations on Blockchain, AR and VR technologies, deep learning, image analysis and Decision Making and AI were really interesting. Their expertise and enthusiasm for these cutting-edge topics were evident and I am lucky to get to know their side of latest healthcare analytics and technologies and their perspective towards these advancements. I was impressed with their real practical applications and innovative solutions shared during the lectures. ”
Wilson Ling (DH1/22 cohort):
” These sessions by Rutgers University’s professors were fascinating and gave me great insights into emerging technologies that could benefit our country. One particularly exciting technology is the augmented reality (AR). AR overlays digital information onto the real world, which has the potential to be a game-changer for paramedics in emergency situations. Imagine AR glasses that display a patient’s medical history, vital signs, and treatment protocols right in the paramedic’s field of view. This could significantly improve response times and patient care. Another technology that piqued my interest is remote surgery robots. These robots can be controlled by surgeons from afar using a secure connection. This could be revolutionary for providing critical medical care in underserved areas or during emergencies.”
Elliot Yung (DH1/23 cohort):
“The lectures sparked curiosity and critical thinking. Instead of simply delivering information, the lecturers encouraged us to analyse the topics independently, which led to deeper reflection among the students. The guest speakers were particularly engaging. Their pacing was perfect, neither rushed nor slow. Their passion and enthusiasm for the subject shone through, keeping the lectures dynamic and far from monotonous. The use of real-world examples further enhanced understanding, especially for complex concepts. I enjoyed it so much! “
The recent signing of a Memorandum of Understanding (MoU) between IMU University and Rutgers University allows an articulation pathway for our Bachelor of Digital Health (Hons) and Master in Health Informatics and Analytics students. Eligible Bachelor of Digital Health (Hons) students can be admitted into the MS in Health Informatics at Rutgers, avail a 9-credit transfer, save nearly US$10,000, and complete their studies in a semester less. Similarly, eligible Master in Health Informatics and Analytics students can avail a 9-credit transfer, save nearly US$10,000, and complete their Doctor of Health Informatics (DHI) programme at Rutgers in a semester less.
