Control system and method for cataract patient in medical consortium

Abstract

The invention discloses a control system and method for a cataract patient in a medical consortium. The control system comprises a cataract management cloud platform, a patient server, an expert server and a primary hospital server, wherein the cataract management cloud platform is connected with the patient server, the expert server and the primary hospital server to realize data interaction, thecataract management cloud platform comprises a doctor-patient management service engine, a screening module, an HIS docking module and a database, the primary hospital server comprises an eyeground examination management module and a digital slit lamp device used for shooting eyeground imaging pictures of a patient, the expert server comprises an expert diagnosis module and an expert diagnosis data management module, and the patient server comprises a login module, an information management module and a consultation module. The management method of a cataract patient in a medical consortium comprises: 1, carrying out primary diagnosis or cataract screening on a patient; 2, carrying out intelligent diagnosis; and 3, intervening by doctors.

Description

technical field [0001] The invention relates to a control system and method for patients in a medical consortium, in particular to a control system and method for cataract patients in a medical consortium. Background technique [0002] According to statistics, the proportion of China's aging population (>65 years old) reached 10.8% in 2016. It is estimated that the population over 60 years old in my country will exceed 400 million in 2050, and cataract is an eye disease with a high incidence among the elderly. According to the statistics of the branch, the incidence rate of cataract among people aged 60 to 89 in my country is 80%, and the incidence rate of cataract among people over 90 years old is over 90%. Cataract screening for a large number of elderly patients is a huge project. However, at present, many first-tier grass-roots hospitals in my country are not capable of independently carrying out cataract screening and diagnosis work. Most of the professional ophthalm...

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is that the incidence of cataract in the elderly population is very high at present, and the cataract screening work for a large number of elderly patients is a huge project. At present, many first-line grassroots hospitals in China are not capable of independently carrying out cataract screening For diagnostic work, professional ophthalmologists are mostly in tertiary hospitals. If a tertiary hospital directly faces a large number of cataract patients, it will cause a great waste of medical resources. The invention provides a control system for cataract patients in a medical consortium, which can 1. The screening module based on deep learning algorithm can greatly reduce the workload of doctors when screening a large number of people. Using the screening module with deep learning algorithm for cataract screening requires only the picture annotation information of cataract turbidity classification. , thus greatly reducing the difficulty of the problem, and it is also possible to dig out new disease knowledge. If there is a new breakthrough in the understanding of the disease or encounters a picture that is difficult to identify, you only need to retrain the neural network based on the newly marked picture The model is enough, which can greatly reduce the time, manpower and economic costs required to build a standard image library, and at the same time improve the accuracy of intelligent diagnostic screening, especially the applicability;

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