Clinical diagnosis learning system and method

Abstract

The invention provides a clinical diagnosis learning system which comprises (a) at least one learning operation device, (b) a database device, (c) a server device and (d) at least one humanoid device. According to the system, a user can do a diagnosis practice according to a real disease case. In addition, the invention provides a method and steps for learning clinical diagnosis.

Description

technical field [0001] The invention relates to a learning system for innovatively providing clinical diagnosis training. The present invention also relates to the learning method of the clinical diagnosis. Background technique [0002] To provide correct diagnosis and care for patients in the clinic, a doctor needs to go through various good trainings to be able to apply medical knowledge to patients correctly, flexibly and appropriately, and the training of a doctor not only depends on his own medical knowledge The establishment of knowledge, and more importantly, the practice of clinical medicine field operations. [0003] The main purpose of clinical skills training is to help medical students conduct independent consultations in the future, understand the etiology and clinical significance of patients' symptoms; carry out diagnostic examinations in the correct steps; correctly interpret the patient's physical examination data, such as electrocardiogram examination, bio...

AI Technical Summary

Problems solved by technology

[0005] However, most of the current medical teaching simulator products focus on providing users with the practice of "treatment or treatment" of diseases, and there is no product that can also train clinical disease "diagnosis" exercises

Moreover, due to the limited patient information provided, most of the disease symptoms and test data of medical teaching simulators are written by manufacturers themselves, not real patient data, and teachers need to answer learners’ questions and update relative biochemical test data by themselves. Patients can only make judgments based on limited data, and cannot freely choose the clinical test to be carried out and obtain relative simulation data

In addition, learners may get clues from the information and answers provided by the instructor, and guess the simulated disease, losing the teaching purpose of objective diagnosis

[0006] Another shortcoming is that the current commercially available products cannot automatically judge the correctness of the user's clinical diagnosis operation steps. If the learner makes a misjudgment, misdiagnosis or operation error during the diagnosis process, the simulator cannot directly inform the user of the wrong instruction. Therefore, another senior doctor still needs to observe the correctness of the learner's operation process and give guidance after the operation is completed, which greatly reduces the efficiency of clinical simulation training

[0007] Due to the various shortcomings of clinical training simulation products currently on the market, it is still unable to provide medical students with a complete hand-brain clinical diagnosis and skill training

Images