System and method for generating pathological diagnosis report of breast cancer and female reproductive system

Abstract

The invention discloses a system and method for generating a pathological diagnosis report of a breast cancer and a female reproductive system. The system comprises a pathological report analysis platform and a patient's basic information which is input, wherein pathological images related to a pathological number are read from a pathological image server according to the pathological number, and then, the pathological number and the related pathological images are stored in a website form; the images are downloaded according to the website; meanwhile, macro-examination information of the pathological diagnosis report is acquired from the pathological image server; the pathological report analysis platform also receives pathological diagnosis analysis results input by a doctor and stores the analysis results in a database server, and the pathological report analysis platform also reads corresponding pathological Word template information from a document template server according to the pathological type; and the pathological diagnosis analysis results are read from the database server, and the pathological diagnosis analysis results input by the diagnosis doctor are matched with an index bookmark in the pathological Word template, so that the diagnosis doctor can generate the diagnosis report quickly.

Description

technical field [0001] The invention relates to a system and method for generating pathological diagnosis reports of breast cancer and female reproductive system. Background technique [0002] When a pathological diagnostician makes a pathological diagnosis report, he needs to draw a diagnostic conclusion based on his own experience. The problems that exist in this way are: [0003] (1) Different diagnostic physicians have different experiences, and their diagnostic conclusions are also uneven. With the continuous updating of medical knowledge, the diagnostic terms used by old doctors and new doctors may be inconsistent, and some diagnostic terms may be discontinued, or It will be used by old doctors, or use some unstructured diagnostic information; this will make it inconvenient to normalize the data later and apply big data; [0004] (2) Different diagnosticians choose different diagnostic indicators when making pathological diagnosis conclusions. Some diagnosticians rely...

AI Technical Summary

Problems solved by technology

[0003] (1) Different diagnostic physicians have different experiences, and their diagnostic conclusions are also uneven. With the continuous updating of medical knowledge, the diagnostic terms used by old doctors and new doctors may be inconsistent, and some diagnostic terms may be discontinued, or It will be used by old doctors, or use some unstructured diagnostic information; this will make it inconvenient to normalize the data later and apply big data;

[0004] (2) Different diagnosticians choose different diagnostic indicators when making pathological diagnosis conclusions. Some diagnosticians rely on their own experience to focus on writing three or five diagnostic conclusions, resulting in incomplete diagnostic conclusions and incomplete data. , which will lead to the subsequent physician handing over the work to be unclear about the diagnostic conclusions made by the previous physician, resulting in information faults;

[0005] Some inexperienced diagnostic physicians may draw diagnostic conclusions from medical records, which may be too partial or incomplete due to the incomplete selection of indicators, which will affect the final diagnosis result of the patient;

[0006] (3) The generation speed of existing diagnostic reports is too slow

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