CN111899872A - Health risk control method based on intelligent health identification code and block chain integration technology - Google Patents
Health risk control method based on intelligent health identification code and block chain integration technology Download PDFInfo
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Abstract
The invention discloses a health risk control method based on an intelligent health identification code and block chain integration technology, which mainly adopts the intelligent health identification code technology, integrates electronic health files, electronic medical records, movement tracks and other big data related to health medical treatment and the like, and combines the autonomous declaration data of a user under a special application scene to form the intelligent health identification code which is multi-level and multi-dimensional and adopts a quantitative analysis method. And integrating an application block chain technology, storing the health medical data of each user by adopting a distributed account book, performing algorithm audit, and finally performing intelligent health index grading on individual users. After different individual users are graded through the intelligent health indexes, each unit, organization and individual can judge the health condition of the individual user through the intelligent health identification code, so that the health risk control can be timely and effectively carried out, and the intelligent health index grading system can be widely applied to the aspects of social administration, active health management, insurance underwriting identification, infectious disease management, credit management and the like.
Description
Technical Field
The invention relates to a health risk control method based on an intelligent health identification code and block chain integration technology, and belongs to the technical field of data welfare.
Background
Data Welfare (Health Welfare) refers to the Welfare that data and its related technology bring us. With the formation and development of big data and analysis technology thereof, a big data era has come, in which everyone can create and contribute own data, and obtain information and services required by himself from the big data, so as to realize interconnection and intercommunication and information sharing in a real sense, that is, everyone is a creator and a user of data welfare. The data welfare has general attributes of social welfare, and mainly comprises asset attributes, value attributes, guarantee attributes, safety attributes and the like.
Electronic Health Records (EHRs) are Electronic historical Records with a reserved value directly formed by people in Health-related activities, and are lifetime personal Health Records which are stored in a computer system, provide services for individuals and have safety and confidentiality performance. The EHR is an information resource which takes the personal health of residents as a core, covers various health related factors, realizes multi-channel information dynamic collection and meets the requirements of self-health care, health management and health decision of the residents through the whole life process. The personal health information in the electronic health record comprises basic information, summaries of main diseases and health problems, main health service records and the like. Five types of electronic health files specified by the new standard in 2009 are standardized, including personal basic health information files, disease control files, maternal and child health files, medical service files and community health files. Due to the problems of security, privacy and the like of the electronic health record, although the electronic health record is developed for more than 10 years, the electronic health record still has no application value.
The blockchain is a distributed encrypted account book technology, and adopts an encryption algorithm and a consensus mechanism to verify transactions so as to ensure the validity of the transactions and allow high-value transactions in an unreliable environment. The block chain technology can ensure the safety, transparency, credibility, interoperability and multilevel transitivity of the intelligent health identification code under the health risk control architecture. In the current research related to blockchains, the most used consensus algorithm is the Proof of Work (PoW) and the Proof of equity (PoS) to determine the accounting right.
Disclosure of Invention
The present invention is directed to solve the above problems, and an object of the present invention is to provide a health risk control method based on an intelligent health identity and a block chain integration technique. The invention mainly adopts an intelligent health identification code technology, integrates the existing electronic health files, electronic medical records, movement tracks and other big data related to health medical treatment and the like, and combines the independent declaration data of individual users under a special application scene to form the intelligent health identification code which is multi-level and multi-dimensional and adopts a quantitative analysis method. Meanwhile, the block chain technology is integrated and applied, the health medical data of each individual user is stored by adopting a distributed account book, algorithm audit is carried out, and finally intelligent health index grading is carried out on the individual users. After different individual users are graded through the intelligent health indexes, each unit, organization and individual can judge the health condition of the individual user through the intelligent health identification code, can timely and effectively control the health risk, and can be widely applied to the aspects of social administration, active health management, insurance underwriting identification, infectious disease management, credit management and the like.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a health risk control method based on intelligent health identification code and block chain integration technology comprises the following steps: (1) based on the existing personal electronic health record, a data warehouse is formed through personal health data aggregation (data flow) and health data information acquisition. (2) Data storage and algorithm auditing are carried out through a block chain technology, and data are extracted, cleaned, converted and loaded (ETL) at the same time, so that intelligent health index grading is carried out on individual users. (3) And finally, in a data application stage, after the intelligent health indexes of the individual users are classified, the individual users have own exclusive intelligent health identification codes, and distributed account book storage is carried out by using a block chain technology so as to ensure the safety and credibility of the codes.
The intelligent health identification code comprises five dimensional attributes, namely security, transparency, credibility, interoperability and multilevel transitivity. The safety reflects that all health data of the user are stored in a distributed account book by adopting a block chain technology, and the data are only owned by the user. When an individual or an entity needs to use the intelligent health identification code or related information, the intelligent health identification code or related information can be obtained only by the way that the individual user actively provides or authorizes to provide, and whether to provide and what information is decided by the user. The transparency and the credibility reflect that the data acquired during data acquisition and the intelligent health identification code generated during data application are subjected to distributed account book storage by using a block chain technology. According to the time sequence, the data blocks are combined into a chain data structure in a sequential connection mode, and the data are guaranteed to be not falsified and not forged in a cryptographic mode. The interoperability is reflected in that the intelligent health identification code can generate great promotion effect on the existing industry, including aspects of active health management, insurance underwriting identification, health credit management, health identification management, infectious disease risk management, social public management and the like, and a reliable and effective health risk control method can be provided for the society. The multilevel transitivity means that the intelligent health identification code can cross the boundaries of countries, regions, industries and the like, can be transmitted in different groups, and has credibility with equal effectiveness.
As an improvement of the invention, the main data sources of the personal health data are electronic health files, electronic medical records, movement tracks and other big data related to health medical treatment and the like, and meanwhile, the data are autonomously declared by an individual user under a special application scene.
As an improvement of the present invention, the health index rating means rating the health data of the human population according to a certain dimension and algorithm, wherein the dimension includes: grading by age, grading by disease, and grading by disability; the disease classification is: general illness, major illness, chronic disease throughout life, and epidemic; the classification according to disability is: lesions, disabilities and disabilities; finally, the grading is performed according to the index of 1-10 grades according to the age, the diseases and the disabilities.
As an improvement of the present invention, in the step (2), the data is extracted, cleaned, converted, and loaded to form classification data, which includes the following parameters: age index X1; survival index X2; health index X3; a composite index X4; non-epidemic disease a: general critical illness a1, chronic critical illness a2, malignant neoplastic illness a3, lifetime chronic illness a4, epidemic a 5; disability b: lesion b1, disability b2 and disability b 3.
As an improvement of the invention, the intelligent health index grading is carried out on individual users; the method for forming the personal special intelligent health identification code is realized by the following steps:
a. clustering analysis: carrying out death condition (no death) and disease condition cluster analysis on user classification data by using a naive Bayes classification algorithm to form a dynamic standard value library of each type of data;
b. age index: performing interpolation operation on all users according to 1-100 years old by contrast 1-10 levels to obtain X1;
c. according to a user death condition dynamic standard value library, only under the condition of considering chronic serious disease a2, obtaining a user personal health survival index X2 through data model operation; x2= survival time of the patient by the calculated date/[ duration of survival of all patients in the age group of the patient/total number of patients in the age group of the patient ] × 10, uniformly calculated as 9 if the patient survival index is greater than 9 (serious health problem);
d. obtaining the personal health prevalence rate X3 of the user through data model operation according to the dynamic standard value library of the user prevalence condition;
e. according to the personal survival index and the health index of the user, if the user has a2, X4= X1+ X2; if the user does not have a2, X4= X1+ X1 × X3, and finally, the user is classified according to different grade standards according to X4 to form the personal intelligent health identification code of the user.
Has the advantages that:
the health risk control method based on the intelligent health identification code and the block chain integration technology is beneficial to improving the authenticity and reliability of the traditional health code, and under the support of the block chain technology, the distributed storage of all health data and the intelligent health identification code is realized, and the decentralized mode can further ensure the use safety and the storage safety of the health data and the intelligent health identification code; meanwhile, the health data and the intelligent health identification code are transparent, traceable and not falsifiable. Particularly, when major public health events occur, all health index conditions of groups and individuals can be timely and effectively mastered, government departments and units are assisted to quickly and accurately carry out health risk assessment and risk control, and the aim of maximizing the welfare value of the whole social health data is fulfilled.
Drawings
Fig. 1 is a structural diagram of a health risk control method based on an intelligent health identifier and block chain integration technology according to the present invention.
Fig. 2 is a hierarchical structure diagram of intelligent health index in the health risk control method based on the intelligent health identifier and block chain integration technology.
Detailed Description
The invention is further described with reference to the following figures and specific examples.
The invention provides a health risk control method based on an intelligent health identification code and block chain integration technology. This approach is distinguished from the active declaration of "health codes" in the general sense, which are based on personal credit. As shown in fig. 1. The structure is based on the existing personal electronic health record, and a data warehouse is formed by collecting personal health data set (data flow) and health data information and combining the self-declared data of individual users under a special application scene. And then based on a block chain technology, adopting decentralized storage and algorithm auditing on the health data of each individual user, and simultaneously carrying out extraction, cleaning, conversion and loading (ETL) on the data and multi-level and multi-dimensional quantitative analysis, thereby carrying out intelligent health index grading on the individual users. In the data application stage, after different individual users are graded through the intelligent health indexes, all units, organizations and individuals can judge the health condition of the individual user through the intelligent health identification code, and the health risk control can be timely and effectively carried out. Particularly, when major public health events occur, all health index conditions of groups and individuals can be timely and effectively mastered, and government departments and units are assisted to quickly and accurately carry out health risk assessment and risk control. And meanwhile, the block chain technology is used for storing the distributed account book so as to ensure the safety and credibility of the code.
With respect to health index grading, as shown in fig. 2. The crowd health data is ranked according to certain dimensions and algorithms. Three dimensions are planned, including: grading by age, grading by disease, and grading by disability. The age-based grading is mainly based on different age groups and corresponding disease risk indicators. Classifying and classifying according to diseases: general illness, major illness, chronic disease throughout life, and epidemic. Classifying according to the disabilities: disability, disability and disability. According to the specific condition of each individual, the individual is classified into 1-10 grades according to age, disease and disability, three dimensions are endowed with different grades, and finally, the individual is subjected to index grading according to an algorithm.
With respect to the actual application scenario, scenario 1: and identifying insurance underwriting. When a user purchases a commercial health insurance, the existing approaches are: before the client and the business insurance company sign insurance purchase contract, the client actively provides the prior health information related to the insurance contract or the insurance company carries out underwriting according to the prior disease claim settlement information of the client and the like. Such a way of underwriting has great problems in the aspects of authenticity, validity, timeliness and the like. Through the form of the intelligent health identification code provided by the invention, the user can actively provide or authorize the business insurance company to obtain the intelligent health identification code on the basis of voluntary. The insurance company can judge the exponential health condition of the user and whether the user meets the related insurance requirements according to the intelligent health identification code, thereby rapidly and accurately carrying out the underwriting identification.
Scene 2: and managing health credit. The existing traditional health code (such as national epidemic prevention health information code, Jiangsu Sukang code and the like) is an active health code based on personal credit, limited data verification can be only carried out by a background according to a moving track provided by a telecommunication operator and epidemic situations reported by related units, the authenticity and the validity of the data are difficult to ensure, and the displayed health state cannot reflect the real health condition of an individual. The intelligent health identification code is established on the basis of a data warehouse, integrates the existing electronic health files, electronic medical records, moving tracks and other large data resources related to health care and the like, and combines the independent declaration data of individual users under a special application scene to finally form the intelligent health identification code which is multi-level and multi-dimensional and adopts a quantitative analysis method. The health condition of the individual user is mutually verified through the personal health data collection and the personal active declaration information, so that the displayed personal health condition is real, effective and credible, and the credit management on the personal health is effective.
Claims (5)
1. A health risk control method based on intelligent health identification code and block chain integration technology is characterized by comprising the following steps:
(1) forming a data warehouse by collecting personal health data and health data information on the basis of the existing personal electronic health file; (2) data storage and algorithm audit are carried out through a block chain technology, and data are extracted, cleaned, converted and loaded at the same time, so that intelligent health index grading is carried out on individual users; (3) after the individual user intelligent health indexes are graded, the individual user intelligent health indexes have own exclusive intelligent health identification codes, and distributed account book storage is carried out by using a block chain technology.
2. The health risk control method based on intelligent health identifier and block chain integration technology as claimed in claim 1, wherein the personal health data sources are electronic health record, electronic medical record and big data related to movement track and health medical treatment, and also comprise autonomous declaration data of individual user.
3. The health risk control method based on intelligent health identity and blockchain integration technology of claim 1, wherein: the health index grading refers to grading the health data of the crowd according to a certain dimension and an algorithm, wherein the dimension comprises: grading by age, grading by disease, and grading by disability; the disease classification is: general illness, major illness, chronic disease throughout life, and epidemic; the classification according to disability is: lesions, disabilities and disabilities; finally, the grading is performed according to the index of 1-10 grades according to the age, the diseases and the disabilities.
4. The health risk control method based on intelligent health identity and blockchain integration technology of claim 1, wherein: in the step (2), the data is extracted, cleaned, converted and loaded to form classified data, and the classified data comprises the following parameters: age index X1; survival index X2; health index X3; a composite index X4; non-epidemic disease a: general critical illness a1, chronic critical illness a2, malignant neoplastic illness a3, lifetime chronic illness a4, epidemic a 5; disability b: lesion b1, disability b2 and disability b 3.
5. The health risk control method based on intelligent health identity and blockchain integration technology of claim 1, wherein: carrying out intelligent health index grading on individual users; the method for forming the personal special intelligent health identification code is realized by the following steps:
a. carrying out death condition and illness condition cluster analysis on user classification data by using a naive Bayes classification algorithm to form a dynamic standard value library of each type of data;
b. performing interpolation operation on all users according to 1-100 years old by contrast 1-10 levels to obtain X1;
c. according to a user death condition dynamic standard value library, only under the condition of considering chronic serious disease a2, obtaining a user personal health survival index X2 through data model operation; x2= survival time of the patient up to the calculation date/[ duration of survival of all patients in the age group of the patient/total number of patients in the age group of the patient ] × 10, if the survival index of the patient is greater than 9, uniformly calculated as 9;
d. obtaining the personal health prevalence rate X3 of the user through data model operation according to the dynamic standard value library of the user prevalence condition;
e. according to the personal survival index and the health index of the user, if the user has a2, X4= X1+ X2; if the user does not have a2, X4= X1+ X1 × X3, and finally, the user is classified according to different grade standards according to X4 to form the personal intelligent health identification code of the user.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112566036A (en) * | 2020-11-17 | 2021-03-26 | 大连理工大学 | Epidemic disease close contact person tracking method based on low-power wide area network and block chain |
| CN113141417A (en) * | 2021-05-17 | 2021-07-20 | 中国银行股份有限公司 | Health code scanning method, device and system based on block chain and 5G |
| CN113344543A (en) * | 2021-06-24 | 2021-09-03 | 北京红山信息科技研究院有限公司 | Epidemic prevention data management system |
| CN113380355A (en) * | 2021-07-09 | 2021-09-10 | 北京声智科技有限公司 | Information generation method and related equipment thereof |
| WO2022142721A1 (en) * | 2020-12-28 | 2022-07-07 | 医渡云（北京）技术有限公司 | Method and apparatus for generating health identification code, and storage medium and electronic device |
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| CN112566036A (en) * | 2020-11-17 | 2021-03-26 | 大连理工大学 | Epidemic disease close contact person tracking method based on low-power wide area network and block chain |
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| WO2022142721A1 (en) * | 2020-12-28 | 2022-07-07 | 医渡云（北京）技术有限公司 | Method and apparatus for generating health identification code, and storage medium and electronic device |
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| CN113380355A (en) * | 2021-07-09 | 2021-09-10 | 北京声智科技有限公司 | Information generation method and related equipment thereof |
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