سیستم مراقبت از سلامتی با کیفیت بالا
Abstract
1-Introduction
2-Health-Care Data Model
3-Health-Care Networks Stable State
4-The Level -I\II\III Priority Users State Performance Evaluation
5-Conclusions
6-Acknowledgement
References
Abstract
Application of health-care networks is becoming more and more attractive. Electronic-monitoring and movable cameras are the key parts of health – care information collection by mobile electronic devices. Healthy public domain is developed by intellectual approaches. A wide variety of data from electronic-monitoring and movable camera will be stored and shared with continued demand for health-care service demands (e.g., ECG service, personal pulse service information). However, health-care networks and devices usually share the same frequency spectrum that results in inflexible access sharing. Frequency spectrum access sharing makes the challenge of how best to use electronic health-care information and commutation protocol. We design an priority considerations health-care networks and commutation protocol to enhance quality of access sharing and the users’ health-care accuracy by stochastic sharing and protocol optimization. The numerical results show that the health-care networks and protocol can enhance capacity of access sharing for users and spectrum utility of networks.
Introduction
The patient information collected is considered to be highly private and sensitive which requires protection [1] [4]. The network is unstable when a node in the network is unstable[3] [5]. We consider a information networks for health-care based on the mobile electronic devices and electronic-monitoring in this work. Several patient healthcare data are classed level-I health-care data (the highest priority level), level-II health-care data (the lower level) and level-III health-care data. Furthermore, the classed level health-care data can be processed with others to realize for higher spectrum utility and throughput. We design our health-care data model (level-I\level-II\level-III) and important events in Section 2. Then, we design health-care network model for the stable state in health-care networks in Section 3. In Section 4, we give the healthcare network performance evaluation. Finally, the patient’s sensitive personal health information can be analyzed in Section 5.