Mobile cloud and end internet of Things system and method adopting same

Abstract

The invention provides a mobile cloud and end internet of Things system which is characterized by comprising a detected client mobile user end, and a medicine center cloud end, wherein the medicine center cloud end receives data coming from the detected client mobile user end, packs and re-files filed data into different specialist physician reception modules; and the different specialist physician reception modules send data to different doctor mobile user ends. According to another technical scheme, the invention provides a classified treatment information generating method. According to the system and the method, three carriers: the client mobile user end, the medicine center cloud end and the doctor mobile user ends are used for constructing and assisting the current conventional electronic health medical system by establishing and managing a strong online database based on wireless communication network tele-interconnection of a mobile, online interaction of a Web page module, and a virtual cloud server technology, thus truly realizing instantaneity, precision, efficiency, stability, fidelity and safety of internet of Things medicine.

Description

technical field [0001] The invention relates to a mobile phone cloud-plus-terminal Internet of Things medical system and a method for using the system. Background technique [0002] The lack of accuracy, timeliness and standardization in the collection of symptoms and medical history for individual clients leads to delayed and wrong diagnosis of many diseases, especially in remote areas such as rural areas and mountainous areas. On the other hand, the independence of each medical center and the limited space for storing medical data in existing databases lead to certain timeliness and loss of medical information of customers. Secondly, as an important aspect of disease treatment, the follow-up of treatment effects has always been a vacuum in clinical research and clinical practice in the medical field. Due to limited human and financial resources, it is impossible to achieve comprehensive and consistent clinical follow-up. The birth of the Internet of Things technology comb...

AI Technical Summary

Problems solved by technology

[0002] The collection of symptoms and medical history of individual clients lacks accuracy, timeliness and standardization, which leads to delayed and wrong diagnosis of many diseases, especially in remote areas such as rural areas and mountainous areas.

On the other hand, the independence of each medical center and the limited space for storing medical data in existing databases lead to certain timeliness and loss of medical information of customers

Secondly, as an important aspect of disease treatment, the follow-up of treatment effects has always been a vacuum in clinical research and clinical practice in the medical field. Due to limited human and financial resources, it is impossible to achieve comprehensive and consistent clinical follow-up

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