Inquiry training method, terminal and system for digital patient

Abstract

The invention provides an inquiry training method, an inquiry training terminal and an inquiry training system for a digital patient. The digital patient is introduced into the inquiry training systemaiming at a clinical medical worker, by systematically establishing a standard medical inquiry question database, an inquiry answer database and a medical standard inquiry base, structured processingis carried out according to the symptoms / cases, inquiry key points and logical sequences, then inquiry question logic and feedback logic with various different training dimensionalities are formed, the reticular relational graph among the logic is established in a crossing manner, judgement and accessing are carried out according to certain weight aiming at the inquiry question, logic sequence and the like in the inquiry process, and thus the purpose of inquiry training is achieved. The device can be used on terminal devices including a cloud server, a PC terminal, a mobile terminal, a robotand the like, as well as a display screen and an AR / VR device, the training of various modes is facilitated, the limitation of time and region is eliminated, and the use is convenient.

Description

technical field [0001] The invention relates to the technical field of three-dimensional simulation technology and its application, in particular to a method, terminal and system for consultation and training of digital patients. Background technique [0002] Medical staff such as clinicians and medical staff need to carry out professional skills practice and training after officially entering the post. Technical practice and practical training are an important part of the transition from medical students to doctors and medical care, and generally need to undergo theoretical re-learning (such as doctor-patient communication, professional ethics, case prescription writing and reading, infection and aseptic technology, first aid, clinical specialty) Knowledge), the combination of theory and practice training, teaching and learning for clinical patient examples, and practical training for simulated human bodies (such as rubber people) and expert patients (experts plan to be pat...

AI Technical Summary

Problems solved by technology

[0004] But at present, medical resources are still scarce resources, and the demand gap for medical personnel is still relatively large. The training of clinical medical personnel through traditional consultation and training methods is far from meeting the demand, and even if the medical practitioners in the hospital serve as Simulated patients usually rely on their own experience for the symptoms and problems involved in the consultation process, and it is difficult to give trainees systematic responses and instructions for various diseases. When it comes to lesions, it is difficult to carry out effective training only by relying on traditional consultation and training methods

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