Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/3160 2019 2019 Senior lecturer, Universiti Teknikal Malaysia Melaka (UTeM), Faculty of Technology Management & Technopreneurship (FPTT), Department of Technology Management, Malaysia S. S. Assistant professor, Department of Physiotherapy, Faculty of Physiotherapy Marwadi University. India Yagnik Dave Associate professor, Department of Physiotherapy, Faculty of Physiotherapy Marwadi University, India Ankur Khant Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India Lokesh Verma Assistant Professor, Department of Law, Symbiosis Law School, NOIDA-Symbiosis International (Deemed University), Pune, India Megha Chauhan Professor, Department of anesthesiology, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth (deemed university) Pondicherry, India S. Parthasarathy The article "The Future of Personalized Medicine and How the Healthcare Internet of Things is Reshaping Treatment Plans and Patient Experiences" offers a comprehensive exploration of the transformative landscape of healthcare. The introduction highlights the paradigm shift from a generalized approach to personalized medicine, where treatments are tailored to individual genetic and lifestyle profiles. Leveraging advanced data analytics and the Healthcare Internet of Things (IoT), the study investigates the impact of these technologies on treatment plans and patient experiences. Employing a multifaceted approach, the research integrates various methods, including logistic regression, random forest, support vector machines, neural networks, and time series analysis, to assess their efficacy in reshaping healthcare practices. Evaluation metrics, such as accuracy, sensitivity, specificity, F1 score, computational cost, and data security, are employed to compare the proposed method with traditional approaches, revealing the superiority of the proposed method across multiple parameters. The results demonstrate the transformative potential of personalized medicine and the Healthcare IoT in enhancing healthcare outcomes and patient experiences. For instance, the proposed method achieves an accuracy of 95%, significantly surpassing traditional methods that average around 89%. Sensitivity, a critical metric in healthcare, reaches 92%, demonstrating the proposed method's ability to identify true positives with higher precision. Additionally, the computational cost of the proposed method, at 0.015, is notably more efficient than traditional methods, which range from 0.020 to 0.022. These numerical values underscore the superior performance of the proposed method, highlighting the importance of integrating cutting-edge technologies for optimized patient care. In conclusion, the study underscores the imperative of embracing a patient-centric approach in healthcare. 2025 2025 230 240 10.54216/JISIoT.140118 https://www.americaspg.com/articleinfo/18/show/3160