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Patient identity matching method based on PSO algorithm optimization

A matching method and patient technology, applied in the field of medical information, can solve the problems of large amount of calculation of sample data, non-optimal similarity weight coefficient, etc., to achieve the effect of reducing labor costs, improving data processing efficiency, and reducing workload

Pending Publication Date: 2021-05-28
中电健康云科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a patient identity matching method based on PSO algorithm optimization, which solves the problems that the calculation amount of sample data is large and the weight coefficient of similarity is determined artificially rather than the optimal solution

Method used

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  • Patient identity matching method based on PSO algorithm optimization
  • Patient identity matching method based on PSO algorithm optimization
  • Patient identity matching method based on PSO algorithm optimization

Examples

Experimental program
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Embodiment 1

[0055] In the medical information system, patient identification information generally includes: name, gender, ethnicity, date of birth, ID number, contact number, address, medical insurance card number, and medical card number. Obtain the user information data uploaded by the server of the hospital information system; wherein, the user information data includes at least name, gender, ethnicity, date of birth, ID number, contact number, address, medical insurance card number, and medical card number; according to the preset The first field value extraction strategy obtains the corresponding current first field value in the user information data, and uses the current first field value as a retrieval condition to obtain the corresponding data set after primary screening; wherein, the data set after primary screening includes Several pieces of data after initial screening, each of which includes at least name, gender, date of birth, certificate type, certificate number, contact nu...

Embodiment 2

[0085] The matching degree of patient identity information can be reflected by the weighted sum of the matching degrees of each field information. The formula is a weighted expression:

[0086]

[0087] where Sim(X i , Y j ) refers to the similarity between the i-th record in patient identity source X and the j-th record in patient identity source Y; Sim(X ik , Y jk ) refers to X i record with Y j The similarity of the kth information item recorded, a k Refers to the weight given to the kth information item, which must satisfy 0k <1.

[0088] The degree of similarity between strings can usually be reflected by similarity measurement, distance measurement, edit distance (Edit Distance) and longest common subsequence (LCS, Longest Common Subsequence). The edit distance includes: Euclidean distance, Manhattan distance, etc.

[0089]

[0090] Table 1 Positive sample data pairs

[0091]

[0092] Table 2 Negative sample data pairs

[0093] This algorithm uses the ...

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Abstract

The invention discloses a patient identity matching method based on PSO algorithm optimization, and relates to the technical field of medical information. The method comprises the following steps: acquiring patient identification information data from a medical database, sorting the patient identification information data, determining information items with higher universality and higher saturation in a patient identifier domain, and combining the information items to obtain a universal identity information framework; sorting patient identification information data, carrying out barrel dividing, calculating information item similarity of an identity information framework corresponding to the patient identification information data item by item, carrying out weighted summation on the information item similarity of the identity information framework to obtain overall similarity of patient identity information, and judging the patient identity based on the overall similarity of the patient identity information. The problems that the sample data calculation amount is large, and the weight coefficient of the similarity is determined manually instead of the optimal solution are solved.

Description

technical field [0001] The invention relates to the technical field of medical information, in particular to a patient identity matching method based on PSO algorithm optimization. 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 through unique patient identification within a complex medical system. In order to realize the interconnection and intercommunication between various systems, ensure the integrity and accuracy of personal information collected in different systems for the same patient. In the medical information system, patient identification information generally includes: name, gender, ethnicity, date of birth, ID number, contact number, address, medical insurance card number, and medical card number. ...

Claims

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Application Information

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IPC IPC(8): G16H50/20G06Q10/10G06N3/00
CPCG16H50/20G06Q10/10G06N3/006
Inventor 周振
Owner 中电健康云科技有限公司
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