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Encoding method of symptoms and signs applied to computer case management system

A management system and coding method technology, applied in the field of symptom and sign coding, can solve the problems of inconvenient storage and carrying, and achieve the effect of sorting and sorting, coding simplification, and easy input and storage.

Inactive Publication Date: 2018-08-24
姚合斌
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially for elderly patients or those with chronic diseases, a large number of follow-up records are extremely inconvenient to store and carry

Method used

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  • Encoding method of symptoms and signs applied to computer case management system
  • Encoding method of symptoms and signs applied to computer case management system
  • Encoding method of symptoms and signs applied to computer case management system

Examples

Experimental program
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Effect test

Embodiment

[0020] First, according to clinical practice, symptoms and signs are divided into non-site-related and site-related. The former includes systemic symptoms and signs and systemic symptoms and signs that do not correspond to specific sites.

[0021] The complete coding includes the basic code and the characteristic code. The basic code is composed of parts + symptoms and signs, and the characteristic code uses the characteristics of left and right, nature, degree and time phase to define and describe the symptoms and signs in detail.

[0022] The part information is divided into three layers, the first layer: divided into the whole body, head, neck, trunk, and limbs; the second layer: taking the head as an example, it is divided into skull, eyes, ears, nose and oropharynx; Three layers: Corresponding to specific parts, taking the eye as an example, continue to be divided into unspecified eye, eyebrow, periorbital, eyelid, inner canthus / lacrimal gland, conjunctiva, cornea, sclera,...

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PUM

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Abstract

The present invention discloses an encoding method of symptoms and signs applied to a computer case management system. The method comprises the steps of: employing encoding of basic codes representinguniformity and feature codes representing individual variation, wherein the basic codes are formed by portion codes and symptom and sign codes, arrangement is performed according to a logic sequenceof portion large class- portion sub class-portion-symptom and sign large class-symptom and sign sub class-symptoms and signs, and the feature codes match a corresponding code table of feature codes according to determination of whether feature description is needed or not and of which feature description is needed. The encoding method considers the clearness of layering and simplification of encoding and facilitates input and storage; and moreover, the method can achieve classification arrangement of clinic patient symptoms through different codes, and is convenient to use.

Description

technical field [0001] The invention relates to a symptom and sign coding method applied to a computerized case management system, and is especially suitable for the fields of medical information management, intelligent auxiliary diagnosis and the like. Background technique [0002] With the development of computer and Internet technology, most medical institutions have adopted electronic medical management system. However, due to the wide variety of disease manifestations (symptoms, signs), complex and changeable, almost all doctors currently use text to describe the symptoms and signs of the patient's onset and disease process. The clinical symptoms and signs described in these texts often have obvious personal styles. It is difficult to interact with computers, and it is impossible to store, track, extract, and process information assisted by computers and networks. This has led to the fact that although we have already used computer systems, clinical work still uses an...

Claims

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Application Information

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IPC IPC(8): G16H10/60G16H50/70
CPCG16H10/60G16H50/70
Inventor 姚合斌赵明伟陈瑛瑛胡晓东尚健陈亚宁智红叶昌路艳
Owner 姚合斌
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