Structured labelling method of medical research and development system using support documents

Abstract

The invention provides an innovative structured form labelling method using support documents, so that the documents can achieve the processible effect through medical research and development software. The structured labelling method makes up the shortage that the resource integration of a clinical decision support system is not timely and the sorting of information is not smooth; the data information is labelled and then quickly classified to facilitate query and use, and help a doctor to diagnose the condition of a patient in detail and accurately; the system implements whole-process monitoring from receiving an electronic medical record to diagnosing a patient finally, and respectively does the prompt record, alert analysis and missed and delayed diagnosis analysis before, during and after the diagnosis, so as to achieve the true control in the whole medical process. The structured form enables the doctor to have a basis in the diagnosis, controls the wrong action in the diagnosis process fundamentally, and effectively prevents the occurrence of the adverse events such as the frequent medical accidents, continuous medical disputes and tense doctor-patient relationship.

Description

technical field [0001] The invention relates to a structured form mark of a medical knowledge base and a decision support system, and belongs to the technical research and development field of medical software. Background technique [0002] Standard medical knowledge base and medical decision support system. [0003] The authoritative knowledge base includes four parts: thesaurus, terminology dictionary, model structure, and knowledge warehouse. The knowledge model structure is to form a network structure of the content related to these terms, which is convenient for storage and recall. The knowledge base is the container of all these knowledge information, with a powerful database as the framework platform to assist the intelligent word processing and retrieval system. The medical clinical decision support system is supported by a powerful medical knowledge database. It uses an open neural network knowledge structure to track the entire clinical process. The system is cap...

AI Technical Summary

Problems solved by technology

However, it is difficult to achieve quantification when integrating new data, and it is difficult to integrate it into the existing decision support system, especially when there are conflicts between different research results, resulting in many misdiagnoses and missed diagnoses

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