Automatic evaluation system of diagnosis and treatment correctness on the basis of virtual case

Abstract

The invention discloses an automatic evaluation system of diagnosis and treatment correctness on the basis of a virtual case. The automatic evaluation system comprises a server, a management terminal, an evaluation terminal and a test terminal, wherein the management terminal, the evaluation terminal and the test terminal are independently in circuit connection with the server; the management terminal uploads virtual case information to the server and sets and stores an evaluation rule in the server; the test terminal diagnoses the virtual case in the server, and stores a diagnosis process and a diagnosis result in the server; and the evaluation terminal carries out automatic evaluation on the diagnosis process and the diagnosis result of the test terminal and outputs an evaluation result according to grading rule setting information set by the management terminal. The automatic evaluation system can objectively realize the automatic evaluation of the diagnosis and treatment correctness, reduces artificial-grading workload and realizes the quantitative evaluation of the diagnosis and treatment ability of clinicians.

Description

Technical field [0001] The invention relates to an automatic evaluation system for correctness of diagnosis and treatment based on virtual cases. Background technique [0002] The clinical ability of clinicians includes many aspects, the most important of which is clinical thinking and decision-making ability. The clinical thinking decision-making process is the process of diagnosis and treatment of diseases by clinicians, using the patient’s medical history, physical signs, laboratory and imaging examinations and other perceptual data, combining their own knowledge and experience, and using scientific thinking methods to analyze and synthesize , And finally reach the correct diagnosis. Before medical students come into contact with clinical patients and during the standardized training phase of residents, although the existing observation and guidance methods can deepen students' clinical reasoning insight, there is no way to quantitatively evaluate these specific skills. [000...

AI Technical Summary

Problems solved by technology

Although the existing observation and guidance methods can deepen students' clinical reasoning insight before contacting clinical patients and during the standardized training period of residents, there is no way to quantitatively assess these specific skills

[0003] At present, the clinical thinking ability assessment in China generally adopts the method of case analysis, and there is no more objective evaluation index system for clinical thinking process

Images