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An identification method based on patient's biological information

A technology of identification and biological information, applied in the field of identification based on patient biological information, can solve problems such as low success rate and incomplete basic information, and achieve the effect of improving efficiency and success rate, improving efficiency, and reducing the amount of comparison

Active Publication Date: 2019-03-08
依据数据(湖南)科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The biggest problem with this algorithm is that the basic information of the patient is incomplete when it is collected, and many key IDs are not collected, which will lead to a low success rate of matching with this algorithm.

Method used

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  • An identification method based on patient's biological information
  • An identification method based on patient's biological information
  • An identification method based on patient's biological information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0103] With patient information R 1 : Name: Zhang San, age: 37, height: 170cm, weight: 70kg, lung shadow, cough with phlegm.

[0104] There are two records in the database, namely:

[0105] R 2 : Name: Zhang San, age: 35, height: 162cm, weight: 69kg, no shadow in the lungs.

[0106] R 3 : Name: Zhang San, age: 36, height: 171cm, weight: 65kg, lung shadow.

[0107] The following calculates the comprehensive similarity of patients recorded in the database:

[0108] First calculate the similarity weight: W(R 1 , R 2 )=1, W(R 1 , R 3 )=1;

[0109] Then calculate the similarity: Sim(R 1 , R 2 )=1, Sim(R 1 , R 3 ) = 2;

[0110] Finally calculate the comprehensive similarity: S(R 1 , R 2 )=1, S(R 1 , R 3 ) = 2;

[0111] If the threshold λ=2. Since S(R 1 , R 3 )>=λ, then it can be considered that R 1 , R 3 It's the same person.

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Abstract

The invention discloses an identity recognition method based on patient biological information. The method includes the following steps that 1, the similarity weight W(Ri, Rj) of to-be-recognized patient data Ri and other any piece of data Rj in a patient identity database is acquired through social attribute feature matching; 2, the similarity S(Ri, Rj) of the to-be-recognized patient data Ri and other any piece of data Rj in the patient identity database is acquired through biological attribute feature matching; the similarity weight W(Ri, Rj) and the similarity S(Ri, Rj) are subjected to weighting calculation, and the comprehensive similarity S(Ri, Rj) of Ri and Rj is obtained; S(Ri, Rj) is compared with a set threshold value lambda, if S(Ri, Rj) is larger than lambda, it is thought that the two pieces of data Ri and Rj belong to the same person, and therefore the patient identity is recognized. The efficiency of patient prime index recognition can be improved, and the success rate of patient prime index recognition can be increased.

Description

technical field [0001] The invention relates to an identification method based on patient biological information. Background technique [0002] Enterprise Master Patient Index (EMPI) is a professional term for medical informatization that appeared at the end of the 20th century. Simply put, it is a retrieval directory for basic patient information. Its main purpose is to effectively link multiple medical information systems together through unique patient identification in a complex medical system, so as to realize the interconnection and intercommunication between various systems, and ensure that the same patient is distributed in different systems The completeness and accuracy of personal information collected. The establishment of a patient master index is a necessary condition for the realization of internal system integration of large hospitals, resource sharing within hospital groups, and the establishment of residents' health records to achieve regional medical shari...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H10/60G06F16/25G06F16/2455G06F16/2458G06F16/22
CPCG06F16/22G06F16/2455G06F16/2468G06F16/258G16H10/60
Inventor 王亚南
Owner 依据数据(湖南)科技有限公司
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