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Cloud computation based remote service system for medical internet of things

A remote service and cloud computing technology, applied in the field of medical remote service systems, can solve problems such as the inability of clients to achieve interconnection, insufficient storage space, and difficulty in sharing patient data.

Active Publication Date: 2013-02-06
JIANGSU R & D CENTER FOR INTERNET OF THINGS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the multi-server mode is adopted, the clients in different servers cannot be interconnected and become isolated islands
[0004] (2) Client storage capacity is limited
Diagnosis and treatment information generated by telemedicine, such as electronic medical records, patient health data, and various medical imaging information, has grown massively and is difficult to maintain
Various management data are stored in the PCs of the patient client and the doctor client respectively. After long-term use, the memory resources will inevitably be exhausted. Especially if the doctor client needs to store data of multiple patients, the problem of insufficient storage space will occur first.
[0005] (3) Patient data is difficult to share
The diagnosis and treatment information generated by telemedicine consultation and the user's private health files cannot be obtained anytime and anywhere and used as a service for various applications, which is difficult to share and repeated inspection
Since the data is only stored in the PCs of the patient client and the doctor client, and cannot be accessed from the outside, when the patient goes to the hospital for treatment, the long-term accumulated precious medical records cannot provide a reference for the doctor's diagnosis and cannot play a role

Method used

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  • Cloud computation based remote service system for medical internet of things
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  • Cloud computation based remote service system for medical internet of things

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] Embodiment one: if Figure 4 as shown,

[0066] First, the patient client uses the socket method to apply for login to the cloud computing data service module, and the client access management service sub-module authenticates the user. If the authentication is successful, the patient client goes online, queries the status of online doctors, and selects a doctor to request a connection , enter the waiting queue for this doctor. The doctor client also applies for login to the cloud computing data service module, and after successful identity authentication, selects a waiting request patient to establish a connection. A connection is then established to begin telemedicine.

[0067] After the connection is established, the patient client and doctor client interact with health data, diagnostic data, audio and video, etc. through sockets. At the same time, the data of the patient client and doctor client will be transmitted to the cloud computing data service module and cl...

Embodiment 2

[0068] Embodiment two: if Figure 5 shown.

[0069] The data uploaded by the doctor client, if it is non-structured data (usually large files, such as audio and video, images, etc.), will be uploaded to the cloud computing data service module through FTP, where it will be transferred, and the cloud computing data service module will open a thread Check whether there are files in the FTP default upload path, and if so, call the HADOOP API to transfer the newly uploaded files to the cloud storage module. In the cloud storage module, the NAMENODE node will split and redundantly copy large files to multiple DATANODEs.

[0070] If it is structured data, the doctor client will call the Web Service interface provided by the cloud computing data service module, upload it to the cloud computing data service module in XML format, and then the cloud computing data service module will parse the data and use HIBERNATE to operate the MYSQL database Insert this structured data.

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Abstract

The invention provides a cloud computation based remote service system for medical internet of things. The cloud computation based remote service system comprises a remote medical module, a cloud computation data service module and a cloud storage module. An integrated process including communication establishment, telemedicine, diagnosing data acquisition, data cloud storage and data sharing service between a telemedicine patient terminal and a doctor terminal is realized via mutual coordination of the above modules.

Description

technical field [0001] The invention relates to a medical remote service system, in particular to a cloud computing-based medical Internet of Things remote service system. Background technique [0002] Smart medical care is the application of Internet of Things technology in the medical field, and remote medical diagnosis and service is a specific application of smart medical care. Using the telemedicine system, doctors can grasp the patient's blood pressure, blood sugar and other common physical symptoms detection data through the Internet, observe the patient's face through video, and understand the patient's symptoms through dialogue and communication, so as to diagnose the patient and provide other medical services. But the traditional telemedicine system also has some problems: [0003] (1) Ordinary servers can manage limited clients. If the multi-server mode is adopted, the clients in different servers cannot be interconnected and become isolated islands. [0004] (...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08G06Q50/22
Inventor 满伟鹏郎宝君张韧盛芳菲
Owner JIANGSU R & D CENTER FOR INTERNET OF THINGS
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