Inquiry information acquisition and analysis system and method

Abstract

The invention provides an inquiry information collection and analysis system and method. The system comprises a patient terminal, a storage and analysis terminal, and a medical care terminal, the patient terminal is provided with a questionnaire, and the questionnaire is sent to the storage and analysis terminal after an inquiry patient fills in the questionnaire. The storage analysis terminal generates patient medical records by using the questionnaire information and feeds back the patient medical records to the patient terminal and the medical care terminal, and the medical care terminal receives the patient medical records of the storage analysis terminal and assists in completing patient inquiry. Structured data deposited at the storage and analysis end can be used as scientific research materials, analysis is conducted through artificial intelligence and other methods, and new medical knowledge is explored. Information is collected in a questionnaire survey mode, machine learningand artificial intelligence are introduced into processing of a corresponding database of a patient, a corresponding analysis model and algorithm are constructed, various indexes and conditions of the patient in the database are comprehensively processed through different dimensions, so materials are quickly collected, information is stored, medical records are generated, results are analyzed, new knowledge is explored, and various risks are prompted.

Description

technical field [0001] The invention belongs to the technical field of medical software development, and in particular relates to a system for collecting and analyzing medical inquiry information and a method for collecting and analyzing it. Background technique [0002] In clinical practice, the collection of medical information of outpatients is mostly obtained through doctor's consultation with patients. However, the process of consultation between doctors and patients is time-consuming and laborious. At the same time, due to limited medical resources, doctors allocate less time for consultations with patients. Most of them can only complete the consultation process through key inquiries and grasp key information. [0003] However, many important details are too late for doctors to ask, or patients forget to answer, resulting in details being hidden or even omitted. These unappreciated hidden details may be recognized by existing medical knowledge but not valued by patie...

AI Technical Summary

Problems solved by technology

However, the process of consultation between doctors and patients is time-consuming and labor-intensive. At the same time, due to limited medical resources, doctors allocate less time for consultations with patients. Most of them can only complete the consultation process through key inquiries and grasp key information.

[0003] However, many important details were not asked by the doctor in time, or patients forgot to answer, resulting in the details being hidden or even omitted

These unappreciated hidden details may be recognized by existing medical knowledge but not valued by patients, or important factors that are not recognized by current medical knowledge but are related to diagnosis and treatment such as disease or prognosis

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