aspg-18-3040-1792025546 20261015005226 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2024 13 2 Amit Kumar Chandanan Associate Professor, Department of Computer Science and Engineering, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur , C. G., India Prabha Rani Sikdar Department Education, GD Rungta College of Science and Technology, Bhilai, Chhattisgarh, 490024, India C. Raja Associate Professor, ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India Saiyed Faiayaz Waris Asst. Professor, Dept. of Artificial Inteligence and Data Science, Koneru Lakshmiah Education Foundation, vaddeswaram, Andhra pradesh, India Manoj Kumar .T Associate Professor, Dept. of ECE, Karpagam Institute of Technology, Coimbatore, TN, India Kiran Bhopate IES Institute of Pharmacy, IES University, Bhopal, Madhya Pradesh 462044, India When it comes to hospital administration, patient care, and medical data analysis, the Healthcare Internet of Things (HIoT) is nothing short of a paradigm revolution. We dive into this new paradigm to examine its far-reaching effects and revolutionary possibilities in the healthcare system. The context is established by introducing HIoT as a game-changing development in healthcare. Using the IoT to network several devices, this model paves the way for real-time patient monitoring, streamlined inventory management, and integrated telemedicine. The healthcare industry as we know it will be transformed by HIoT as it strives to improve resource allocation, simplify operations, and provide proactive patient care. Our investigation includes a thorough appraisal of how HIoT will affect many facets of medical treatment. We use many research approaches and quality indicators for this evaluation. We may evaluate the viability and scalability of HIoT solutions by testing them in experimental settings that mimic real-world healthcare settings. To provide a precise depiction of the healthcare system, dataset environments use well maintained medical data sources. The performance and efficacy of HIoT technologies may be evaluated using measurable criteria such as sensitivity (0.94), specificity (0.89), F1-Score (0.91), ROC-AUC (0.95), and cost savings ($150,000). To determine the relative importance of each part of the HIoT ecosystem, researchers undertake "ablation studies. Our findings provide a clear picture of the disruptive potential of HIoT. Better patient outcomes may be ensured via early interventions thanks to the improved accuracy (0.92), efficiency (9.2), and satisfaction (9.2) provided by the suggested HIoT technique for patient monitoring. When healthcare and telemedicine are combined, the success rate of remote consultations increases to 95%, response times decrease to 15 minutes, and more people have access to medical treatment. 2024 245 255 3040 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.130220 https://americaspg.com/journal/18/article/3040 https://americaspg.com/storage/21721123847.pdf