Shared medical data analysis system and method

Abstract

The invention discloses a shared medical data analysis system and method. The method comprises steps that a medical database is established, and the database comprises the disease information and thehospital information; the disease symptom information is inputted by a patient according to the inquiry information, and the disease symptom information comprises the patient disease symptom, the gender, the age and the region; according to the patient disease symptom, the gender and the age, the suspected disease symptom in the medical database is matched, and the closest disease symptom is acquired; the medical reference information is given according to the closest patient disease symptom, and the medical reference information comprises a corresponding hospital disease department, a hospital department physician and the daily appointment situation of the physician of a local hospital matched with the patient. The method is advantaged in that according to the disease symptom of the patient, rough disease diagnosis is carried out, medical resource distribution is carried out according to the diagnosis result, the patient is helped to make timely medical appointment and outpatient appointment, convenience is brought to the patient, and waste of medical resources is reduced.

Description

Technical field [0001] The invention relates to the field of medical data, in particular to a shared medical data analysis system and method. Background technique [0002] With the continuous development of the economy, people’s life pressure is also increasing. Therefore, the burden of work is getting heavier and people’s health problems are getting more and more attention. People are seeing a doctor at the same time because of the uneven distribution of medical resources. This leads to the unreasonable use of medical facilities and physician resources, which makes it difficult to see a doctor. Some small community hospitals have fewer patients, while large outpatient clinics and experts are overcrowded. This wastes many medical resources and fails to achieve the optimal use process. . [0003] Due to the lack of medical knowledge, it is also difficult for people to classify and identify symptoms during medical treatment, leading to the wrong outpatient department, wasting medica...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of the economy, people's life pressure is also increasing. Therefore, the burden of work is getting heavier, and people's health problems are getting more and more attention. While people are seeing a doctor, due to the uneven distribution of medical resources, This leads to the unreasonable utilization of medical facilities and physician resources, resulting in a situation where it is difficult to see a doctor. Some small community hospitals have fewer patients, while large outpatient clinics and specialists are overcrowded, which wastes many medical resources and cannot achieve the optimal use process.

[0003] Due to the lack of medical knowledge, it is difficult for people to classify and identify diseases during the process of seeing a doctor, which leads to the wrong outpatient department, wasting time for seeing a doctor, causing inconvenience to patients, and consuming a lot of human resources

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