Medical image remote diagnosis method based on cloud service and electronic mail

Abstract

The invention discloses a medical image remote diagnosis method based on cloud service and an electronic mail. A cloud server, an imaging department workstation, an electronic mail system and a remotediagnosis workstation are included. A database service unit, an FTP service unit and a WEB service unit are constructed in the cloud server; the imaging department workstation extracts patient basicinformation in the DICOM images, stores the patient basic information in a database in the cloud server, compresses the DICOM images into files in a JPG format, uploads the files to an FTP folder of the cloud server, and checks and prints an image report; the e-mail system sends the patient DICOM image data packet to a remote diagnosis doctor computer; and the remote diagnosis workstation edits orviews the image report through a client and a webpage. Image remote diagnosing can be carried out in two modes, clinicians and patients can browse reports and images through mobile phone web pages, and meanwhile the problem that DICOM image cloud storage of an existing diagnosis platform is high in economic cost is solved.

Description

technical field [0001] The present invention relates to the technical field of remote diagnosis of medical images, in particular to a method for remote diagnosis of medical images based on cloud services and e-mails. Background technique [0002] At present, with the rapid upgrading of Internet technology, remote diagnosis solutions for medical imaging have been valued and developed. Many domestic medical institutions are also running some well-known remote diagnosis platforms, which have improved the efficiency of imaging diagnosis and made up for the radioactivity to a certain extent. Flaws of insufficient and uneven distribution of physicians. However, these remote diagnosis platforms basically use patient DICOM image cloud storage, which increases the load on the cloud server. In order to ensure the efficiency of remote image reading, the server bandwidth is extremely high, and the final operating cost remains high. For some small and medium-sized and grassroots For med...

AI Technical Summary

Problems solved by technology

However, these remote diagnosis platforms basically use patient DICOM image cloud storage, which increases the load on the cloud server. In order to ensure the efficiency of remote image reading, the server bandwidth is extremely high, and the final operating cost remains high. For some small and medium-sized and grassroots For medical institutions, on the one hand, it increases the capital investment of the institution, on the other hand, it weakens the interests of remote diagnosis doctors, and some grassroots medical institutions cannot successfully complete medical imaging diagnosis.

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