Clinical guideline knowledge representing model and method

Abstract

The invention provides a clinical guideline knowledge representing model and method. The model comprises a knowledge graph, a guideline metadata dictionary and a decision variable set; the knowledge graph represents main knowledge of a guideline; the guideline metadata dictionary represents meta information related to the guideline; the decision variable set which is global represents all decisionvariables, and may include variables of multiple guidelines, different decision variables represent decision items which are most basic and cannot be divided further, and a value of the decision variable is decided according to the practical condition of a patient in a clinical practical process; and an electronic guideline that can be explained by a computer can be obtained by integrating and coding the knowledge graph, the guideline metadata dictionary and the decision variable set. Thus, guideline knowledge is represented effectively, the model after representation can be explained and executed by the computer, a doctor is helped master the clinical knowledge rapidly, suggestion about a diagnosis and treatment scheme is provided for the doctor, the doctor is helped overcoming memory limitation and confusion, the possibility of misdiagnosis and mistreatment is reduced, and the diagnosis effect of the doctor is improved.

Description

technical field [0001] The invention relates to the field of computer-aided medicine or intelligent computing, in particular to a representation model and method of clinical guideline knowledge. Background technique [0002] A Clinical Guideline, also known as a Medical Guideline or a Clinical Practice Guideline, is a guidance document for decisions and standards for diagnosis, management, and treatment in a specific field of healthcare. Clinical guidelines are an important evidence-based source for reducing inappropriate treatment and are an important source of knowledge for clinical decision support systems. [0003] However, it is very difficult to encode clinical guideline knowledge into a computer-interpretable guideline (CIG for short), which involves two aspects of work. One is to design a reasonable computer-interpretable guideline. The representational model that can explain the execution, and the second is to encode the clinical guideline with the designed model. ...

AI Technical Summary

Problems solved by technology

However, the existing guideline models usually use a very complex formal language, which is not conducive to the formalization and intuitive understanding of the guideline content, and is also not conducive to the combination with clinical data, which is not conducive to the automatic coding of clinical guidelines

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