Medical Internet of Things: Perspectives, Impact and Challenges

The Medical Internet of Things (MIoT) has redefined healthcare by interconnecting devices, systems, and applications to monitor, analyze, and manage patient data in real time. MIoT leverages wearable devices, sensors, and interconnected medical equipment, enabling remote health monitoring, precision medicine, and improved patient outcomes. By seamlessly integrating patient data from various sources, MIoT leads to early diagnosis, treatment optimization, and personalized healthcare interventions. With this interconnectedness, healthcare professionals gain continuous access to patient vitals, enhancing diagnostic accuracy and response times, particularly in remote and underserved areas. This real-time data flow also facilitates predictive analytics, helping pre-empt adverse events and reducing hospital readmissions. However, MIoT also raises significant challenges, including concerns about data privacy, security, and the risk of cyber threats. The vast amounts of sensitive patient information shared across networks make privacy safeguards and robust security mechanisms essential to protect patient confidentiality and data integrity.

The potential of MIoT to revolutionize healthcare is vast, offering unprecedented opportunities for improved patient care and operational efficiency. As MIoT continues to evolve, balancing innovation with privacy and security will be crucial to fostering trust, ensuring compliance, and maximizing the benefits of this technology in healthcare.

Amit Kumar Tyagi has a PhD from Pondicherry Central University, Puducherry, India. He is presently working as an Assistant Professor at National Forensic Sciences University, Gandhinagar, India. Prior to this he was as an assistant professor at several institutes like Lord Krishna College of Engineering, Ghaziabad (LKCE) (for the periods of 2009-2010, and 2012-2013, Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad (2018-2019), VIT Chennai (2019-2022) and NIFT New Delhi (2022-2025). His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as “AARIN” and “P3- Block” to address some of the open issues related to the privacy breaches in Vehicular Applications like parking and Medical Cyber Physical Systems. His research focuses on Next Generation Machine Based Communications, Blockchain Technology, Smart and Secure Computing and Privacy. He is a regular member of the ACM, MIRLabs, Ramanujan Mathematical Society, Cryptology Research Society, and Universal Scientific Education and Research Network, and ISTE. He is a senior member of IEEE.

Shabnam Kumari is a PhD Research Scholar in the Department of Computer Science, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. She has more than 6 years of experience including teaching, research and other areas. She completed her MCA from YMCA University of Science and Technology, Faridabad. She has filed more than five national and international patents in the areas of IoTs, Machine Learning, Deep Learning and Wireless Networks. She has published over twenty research articles in International Conferences and Journals. Her areas of interest include Machine Learning, Deep Learning, and related fields. She is a lifetime member of ACM-Women and SCRS.