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 inaccessibility, insufficient storage space, and exhaustion of memory resources, and achieve the effect of saving investment, management and maintenance costs, and saving system resources.

Active Publication Date: 2015-06-10
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
  • Cloud computation based remote service system for medical internet of things
  • Cloud computation based remote service system for medical internet of things

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] Example one: such as 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 accesses the management service submodule to authenticate the user. If the authentication is successful, the patient client goes online, queries the online doctor, and selects a doctor to request connection , Into the waiting queue of this doctor. The doctor client also applies to the cloud computing data service module for login. After the identity authentication is successful, it selects a waiting patient to establish a connection. Then a connection is established to start 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, these data of the patient client and doctor client will be transmitted to the cloud computing data service module and cloud storage ...

Embodiment 2

[0068] Embodiment two: such as Figure 5 Shown.

[0069] The doctor client uploads data. If it is non-institutional data (usually large files, such as audio and video, images, etc.), it will be uploaded to the cloud computing data service module via FTP, where it is transferred, and the cloud computing data service module will open a thread Check whether there are files in the FTP default upload path. If so, call HADOOP's 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 and 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 these 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 remote medical Internet service system. Background technique [0002] Smart healthcare is the application of IoT technology in the medical field, and remote medical diagnosis and services are a specific application of smart healthcare. Using the telemedicine system, doctors can grasp the patient's blood pressure, blood sugar and other commonly used 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 patients and provide other medical services. However, the traditional telemedicine system also has some problems: [0003] (1) The clients that can be managed by ordinary servers are limited. If the multi-server mode is adopted, the clients in different servers cannot be interconnected and become islands. [0004] (2) The client storage cap...

Claims

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Application Information

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Patent Type & Authority Patents(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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