Online cloud image reading diagnosis method and system

Abstract

The invention discloses an online cloud image reading diagnosis method and system. The method comprises the following steps that an image data interface collects a DICOM data file of image examinationequipment and converts the DICOM data file into a DICOM image file; the DICOM image file is uploaded to a cloud server to form an original image file; the original image file is parsed, patient information in the original image file is extracted, and the original image file is replaced to generate an image file by adopting an SSL256-bit encryption technology and an image lossless compression technology; the patient information and the image file are uploaded to an image data warehouse; the patient information and the image file in the image data warehouse are transmitted separately; the received patient information and image file are decrypted at a receiving side and restored to an original image file; a client side conducts operations of real-time online image reading, remote consultation and consultation reporting on the decrypted and restored original image file.

Description

technical field [0001] The present invention relates to the technical field of online image reading diagnosis, in particular to a cloud image online image reading diagnosis method and system. Background technique [0002] On the one hand, most of the outstanding medical experts work in developed countries or domestic large and medium-sized cities, resulting in serious uneven geographical distribution of medical expert resources at home and abroad. On the other hand, the demand for patients is increasing, and the supply exceeds supply. Taking ophthalmology as an example, most of the remote platforms of ophthalmology at present are only based on the Internet-based information transmission function, enabling experts to communicate with patients through video and voice conversations, and it does not involve moving the diagnostic process of offline ophthalmology departments to online. And the lack of a collaborative platform to realize offline and online medical treatment: that i...

AI Technical Summary

Problems solved by technology

Taking ophthalmology as an example, most of the remote platforms of ophthalmology at present are only based on the Internet-based information transmission function, enabling experts to communicate with patients through video and voice conversations, and it does not involve moving the diagnostic process of offline ophthalmology departments to online. And the lack of a collaborative platform to realize offline and online medical treatment: that is, the offline formal and rigorous processes such as inputting application forms, docking scanning equipment, customer service triage cases, and expert diagnosis are restored to online, and online reading by experts is realized through the medium of the Internet. Therefore, the current telemedicine environment has not yet completed the practical problem of realizing online remote consultation and breaking resource and geographical restrictions.

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