Personalized medical image management system

Abstract

The invention discloses a personalized medical image management system. The system comprises a data receiving module, a data storage module, a data anonymity module, an authority control module, a keyimage storage module, and a key image viewing module; the data receiving module is used for receiving a DICOM image file corresponding to primary image examination and associating the DICOM image file with an item to which the DICOM image file belongs; the data storage module is used for importing and storing the DICOM image file; the data anonymity module is used for anonymously processing the patient name, the patient number, the gender, the birth date and the hospital name in the DICOM image file; the authority control module is used for an administrator to set a specific film reader of the item, specific authority of each film reader, a specific quality inspector and specific authority of the specific quality inspector; the key image storage module is used for storing key image information formed after the DICOM format image is marked, measured and processed by the film reader, and the key image information comprises a key image, marking time and a marker; and the key image viewing module is used for viewing the stored key image information by the film reader and the quality inspector according to the corresponding authority.

Description

technical field [0001] The invention relates to the field of medical information technology, in particular to a personalized medical image management system. Background technique [0002] The traditional PACS (Picture Archiving and Communication System) system is widely used in hospitals, and it is basically only applicable to hospitals. And we are a clinical imaging CRO company, which is quite different from hospitals. The PACS system in the hospital does not have the concept of project. Generally, doctors only read images, and do not know how to measure the size of lesions and save the measured values. You can see the annotations and measurements made by other doctors, and you don't need and can't anonymize the hospital information and patient information on the image. But we are different. Our customers are mainly pharmaceutical companies. After the new drugs they develop enter the clinical trial stage, they need to test the efficacy of the new drugs on patients, and we...

AI Technical Summary

Problems solved by technology

Moreover, the two first readers can only see their own measurement and labeling of the image lesions, and cannot see the other party's

But the third teacher needs to be able to see the measurement and labeling of the image lesions by the two first readers, but cannot see the real names of the two first readers, that is, to ensure the blinding of the whole reading process

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