An Iot Based Multi-parameter Data Acquisition System For Efficient Bio-tele Monitoring Of Pregnant Women At Home
Cost will be available soon
To protect the health of pregnant women is an important public healthcare issue in many countries, which accelerates many studies on a healthcare system that can, whenever and wherever, extract and process patient data. A pregnant women conducts self-management in an out-of-hospital environment, particularly in an at-home environment, so it is important to provide integrated and personalized healthcare services for effective care. To help provide effective care for pregnant women, we propose a service flow and a new model for personalized healthcare system architecture supporting both at-home and at-hospital environments. The system considers the different characteristics of at-hospital and at-home environments, and it provides various care services. A prototype implementation and a predicted cost model are provided to show the effectiveness of the system. The proposed personalized healthcare system can support cost-effective disease care in an at-hospital environment and personalized self-management of chronic disease in an at-home environment. By this we can reduce the death rate of both pregnant women and child also.
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