ABSTRACT—The cloud based healthcare models are coming to the emergence very quickly and growing their roots across the globe for the empowering of the active healthcare services. The wearable body sensors are utilized to track the health of the patient when they are out of the healthcare premises. Also the telemedicine and remote healthcare monitoring applications has empowered the healthcare systems to grow their roots into the remote areas of the countries, where it becomes the very tough task to provide t he healthcare services or setup the hospitals, dispensaries, etc. The telemedicine practices empower the doctors to remotely monitor the health of the patients and prescribe the best medicines or the precautionary practices. But such healthcare applications suffers from the many performance based issues such as critical data handling, slow data delivery, etc. The healthcare specific network data classification and flow prioritization methods can be utilized to mitigate the healthcare network problems by decongesting the healthcare networks from the heavy loads by smartly optimizing the data outcome on the dominating controller nodes to optimize the healthcare data inflow volumes. The proposed model is expected to solve the problems associated with the existing systems designed for healthcare data management.