The Internet of Medical Things (IoMT) is emerging as a transformative force in healthcare, providing numerous advantages for both patients and healthcare professionals. By integrating Electronic Health Records (EHRs) with real-time medical devices, IoMT improves administrative efficiency, reduces reliance on paper documentation, and mitigates the redundancies typical of traditional record-keeping systems ( Pradyumna G et al in IEEE Access, 2024 [1]). Additionally, when paired with dynamic healthcare datasets, it enables timeline-based analyses and the development of advanced BI (Business Intelligence) analytics to enhance decision-making in clinical environments. However, to fully realize this potential, a robust healthcare management system is required to handle large datasets while ensuring accessibility and usability for various organizational roles. This paper proposes a model that addresses these challenges by integrating RFID-enabled IoMT solutions with advanced cloud-based big data infrastructure. The model demonstrates substantial improvements in synchronization speed and workflow efficiency, along with scalable data storage and processing capabilities essential for high-volume healthcare environments.