Insurance customer list screening method and device based on health medical big data

A technology of medical data and screening methods, which is applied in the field of semantic processing and semantic analysis of medical big data, can solve the problems of single index analysis and the inability to accurately screen customers in multiple dimensions, so as to achieve improved accuracy, flexible segmentation and clustering, The effect of fine-grained concept

Pending Publication Date: 2021-01-05
山东健康医疗大数据有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical task of the present invention is to provide a method and device for screening insurance customer lists based on health and medical big data to solve the problem of single index analysis based on a single data source in the prior art for user screening and analysis, which cannot accurately screen customers in multiple dimensions The problem

Method used

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  • Insurance customer list screening method and device based on health medical big data
  • Insurance customer list screening method and device based on health medical big data
  • Insurance customer list screening method and device based on health medical big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] as attached figure 1 As shown, the insurance customer list screening method based on health medical big data of the present invention, the method is specifically as follows:

[0066] S1. Input insurance customer information;

[0067] S2. Find and extract medical data: find the customer's medical data from the medical and health big data through customer information, and extract the customer's medical data;

[0068] S3. Semantic standardization processing: perform semantic standardization processing on the found customer medical data, generate customer standardized data with semantic relationships, and then form a customer medical semantic network;

[0069] S4. Semantic matching: perform semantic matching between the screening rule base and the customer's medical semantic network;

[0070] S5. Obtain a customer screening result.

[0071] In this embodiment, the customer information in step S1 includes customer identity information, and the customer identity informatio...

Embodiment 2

[0102] The insurance customer list screening device based on health and medical big data of the present invention, the device includes,

[0103] Information input module, used to input insurance customer information, customer information includes customer identity information, customer identity information includes name, gender, date of birth, address, ID number and phone number;

[0104] The medical data search and extraction module is used to find all the medical data in the whole life cycle of the customer in the medical and health big data, which is connected in series with time as the main line, through customer information;

[0105] The semantic standardization processing module is used to perform semantic standardization processing on the found customer medical data, generate customer standardized data with semantic relations, and then form a customer medical semantic network;

[0106]The semantic matching module is used to carry out semantic matching between the screen...

Embodiment 3

[0116] An embodiment of the present invention also provides an electronic device, including: a memory and at least one processor;

[0117] Wherein, the memory stores computer-executable instructions;

[0118] The at least one processor executes the computer-executed instructions stored in the memory, so that the at least one processor executes the insurance customer list screening method based on health and medical big data in any embodiment of the present invention.

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Abstract

The invention discloses an insurance customer list screening method and device based on health medical big data, belongs to the technical field of semantic processing and semantic analysis of medicalbig data, and aims to solve the technical problem that clients cannot be accurately screened in multiple dimensions due to that fact of single index analysis based on a single data source during userscreening analysis in the prior art. According to the adopted technical scheme, the method specifically comprises the following steps: inputting insurance customer information; searching and extracting medical data, namely searching the medical data of a client from the medical health big data through the client information, and extracting the medical data of the client; performing semantic standardization processing, namely performing semantic standardization processing on the found client medical data to generate client standardized data with a semantic relationship, thereby forming a clientmedical semantic network; performing semantic matching, namely performing semantic matching on the screening rule base and the client medical semantic network; and obtaining client screening results.

Description

technical field [0001] The present invention relates to the technical field of semantic processing and semantic analysis of medical big data, especially the semantic processing and semantic analysis technology of medical big data in the field of insurance customer screening, specifically a method for screening insurance customer lists based on health and medical big data and devices. Background technique [0002] In recent years, with the development of social economy and medical system reform, commercial health insurance has deeply participated in the "three medical linkages" by providing insurance protection, integrating service supply, strengthening industrial integration, etc., and has become a booster for deepening medical reform. Great progress has been made in participating in social livelihood projects and the construction of medical security system. However, factors such as high operating risks, high compensation ratio and compensation amount, and difficulty in mak...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/30G06F40/295G06Q10/06G06Q30/02G06Q40/08
CPCG06F40/30G06F40/295G06Q10/06393G06Q30/0201G06Q40/08
Inventor 黄玉丽
Owner 山东健康医疗大数据有限公司
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