Interrogation information input system through human body three-dimensional model comparison and method thereof

Abstract

The invention discloses an interrogation information input system through human body three-dimensional model comparison. The interrogation information input system comprises an information input system, a three-dimensional image system, an emergency treatment system, and an identity identification system, wherein the three-dimensional image system, the emergency treatment system and the identity identification system are connected with the information input system. The three-dimensional image system presents the human body model. Various symptoms are marked on each human body organ of the three-dimensional human body model through the information input system. The invention further discloses a use method of the interrogation information input system. According to the system of the invention, the interrogation information is accurately input through the three-dimensional human body model; treatment section office recommendation is realized through an auxiliary decision system, thereby effectively saving treatment time and improving efficiency. Furthermore the symptom is visually and accurately marked through the three-dimensional human body model, thereby effectively improving accuracy. The interrogation information input system further has advantages of realizing reasonable organization, effectively improving patient reception efficiency and realizing relatively high use value.

Description

technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a system and method for inputting medical inquiry information combined with comparison of three-dimensional models of human bodies. Background technique [0002] With the progress of urbanization and the improvement of people's living standards, when seeing a doctor, the patient's description of his symptoms can be assisted by combining recording devices. Therefore, the description of symptoms is unclear and incomplete. At present, doctors in major hospitals make diagnoses mostly based on symptom descriptions and some test information, and the diagnosis error rate is high. There is not a strong connection between the various departments, and each department is dedicated to its own department, and the risk is ultimately borne by the patient. However, people are a whole. When a certain part or organ is diseased, a chain reaction will often occur, causing symptoms in...

AI Technical Summary

Problems solved by technology

Major hospitals are gradually adopting electronic equipment or software to expand the registration method, but many times people do not know their own conditions, and random registration can easily lead to the phenomenon of going to the wrong department and delaying the treatment time, and there is no obvious distinction between ordinary outpatient and emergency departments , reducing work efficiency. At the same time, large hospitals cannot be found quickly due to the large number of departments, and there are not enough medical staff to lead the way

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