Due to rapid growth of wireless medical devices, in near future wireless healthcare services may face some inescapable issues such as medical spectrum scarcity, electromagnetic interference (EMI) to bio-medical devices, bandwidth constrain, security and finally medical data transmission reliability, etc. To mitigate these issues, cognitive radio needs to be utilized and fine-tuned the upcoming wireless healthcare service system. Contemporary research on cognitive radio driven healthcare has shown some improvement on trimming the EMI, spectrum scarcity and bandwidth issues. However, a visible research gap and very limited guidelines are observed on medical data transmission reliability in a Cognitive Radio (CR) based healthcare. Thus this research designs an intelligent dynamic priority enabled queuing management based hospital traffic transmission mechanism for a previously proposed CR enabled hospital named CogMed. An equation is formulated to compute weight of a hospital traffic considering hospital location and priority of its device. The proposed priority mechanism intelligently determines the critical level of hospital data and decreases the rate of packet drop. Simulation results show that the critical emergency medical traffic obligates very low drop rate (1.56%), queuing time and network delay compared to other medical devices. The proposed system outperforms some the other traditional established methods for wireless data transmission system.