Clinical auxiliary decision knowledge base platform, and configuration method, device thereof and medium

Abstract

The invention provides a clinical auxiliary decision knowledge base platform, a configuration method and device thereof, and a medium. The method comprises the steps of configuring knowledge types anddisplay forms of labels for different knowledge, so as to form a knowledge configuration document which is convenient to store, edit and manage, inputting rules, respectively encoding the rules and knowledge in the knowledge base, and docking the rules and the knowledge through encoding matching, and according to knowledge matched with the rule, displaying in a display form of the corresponding label, and recommending to the target role. According to the method, business rules and scenes can be directly used, non-computer background business personnel are supported to carry out personalized configuration according to the requirements for the display content and form of the knowledge base, the learning cost is low, and business expression is clear, simple, convenient, verified and modified; the communication cost is reduced, the research and development speed is increased, and the friendliness optimization, agile iteration and knowledge updating of the clinical auxiliary decision system are greatly improved.

Description

technical field [0001] The present invention relates to the technical field of knowledge base configuration, in particular to a clinical assistant decision-making knowledge base platform, its configuration method, equipment and media. Background technique [0002] Clinical Decision Support System (CDSS) is a software often used by medical institutions. Its principle is to judge the patient's status through rules based on the patient data in the medical electronic information system, and combine it with the knowledge base. Provide users (doctors, nurses or patients, etc.) with corresponding decision-making suggestions, and display them in appropriate forms on different terminals. [0003] In the traditional technology, clinical auxiliary decision-making is based on the form of traditional knowledge base, relying on manpower to extract knowledge, which cannot better correspond to the complexity of the patient's condition, thus hindering the clinical use of CDSS to a large exte...

AI Technical Summary

Problems solved by technology

Too many reminders can easily lead to early warning fatigue, while too few reminders can easily overlook key clinical issues. If the type and intensity of reminders can be graded, clinicians can focus on them

[0005] In the traditional business model, staff with a computer background communicate with the business and write codes to realize the business logic and configuration of CDSS. The cost of intermediate communication is high and the speed of research and development is slow, which greatly limits the friendliness optimization, agile iteration and knowledge update of CDSS

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