CN113421655A - Medical data management method and system based on block chain storage - Google Patents

Medical data management method and system based on block chain storage Download PDF

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CN113421655A
CN113421655A CN202110827398.6A CN202110827398A CN113421655A CN 113421655 A CN113421655 A CN 113421655A CN 202110827398 A CN202110827398 A CN 202110827398A CN 113421655 A CN113421655 A CN 113421655A
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data
current
medical
query
generating
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黄庆升
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Shenzhen Ailexin Technology Co ltd
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Shenzhen Ailexin Technology Co ltd
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/62Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245Protecting personal data, e.g. for financial or medical purposes

Abstract

The application relates to a medical data management method and system based on block chain storage, which sequentially acquire a medical diagnosis data query instruction for starting medical query of a current medical subject based on a preset current medical data query port, and generate a current medical diagnosis query interface based on the medical diagnosis data query instruction; acquiring current query main body basic data input from the current medical diagnosis query interface; generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information, and screening target medical diagnosis data matched with the current subject query demand information from the current medical data; and generating a medical data display authorization code when the identity of the current hospitalizing subject is verified to be real, and generating a current query result display interface based on the medical data display authorization code. The invention realizes the efficient, quick and secret query of the medical diagnosis data.

Description

Medical data management method and system based on block chain storage
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and a system for managing medical data based on blockchain storage.
Background
Medical big data is a broad concept, and has many detailed classifications, including: the electronic medical record data is data generated in the medical treatment process of a patient, and comprises basic information of the patient, complaints of diseases, inspection data, image data, diagnosis data, treatment data and the like, wherein the data is generally generated and stored in paper medical records of a medical institution, and the data is the most important generation place of the medical data. The paper medical record realizes the storage and transmission of the medical record, but does not meet the requirement of data analysis.
However, at present, if a medical staff wants to query past medical data records, the staff needs to buy a paper file for finding past medical data, or needs to manage and query the relevant data of a hospital, but all the problems of inaccurate query and low query efficiency exist.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method and a system for managing medical data based on blockchain storage, which can improve efficiency and accuracy of medical data query.
The technical scheme of the invention is as follows:
a method of medical data management based on blockchain storage, the method comprising:
acquiring a medical treatment and diagnosis data query instruction for starting medical treatment query of a current medical treatment subject based on a preset current medical treatment data query port, and generating a current medical treatment and diagnosis query interface based on the medical treatment and diagnosis data query instruction; acquiring current query main body basic data input from the current medical diagnosis query interface, wherein the current query main body basic data comprise current main body attribute information and current main body query demand information; generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information query instruction, screening target medical diagnosis data matched with the current subject query demand information from the current medical data, and generating a current subject identity verification instruction; and opening a main body identity confirmation verification for the current medical main body based on the current main body identity verification instruction, generating a medical data display authorization code when the current medical main body identity is verified to be real, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data.
Specifically, querying, based on the attribute information query instruction, the summarized medical data matched with the current subject attribute information from a preset block chain storage module, screening target medical diagnosis data matched with the current subject query requirement information from the current medical data, and generating the current subject authentication instruction specifically includes:
inquiring the summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information inquiry instruction, and extracting the information of the current medical attending doctors from the summarized medical data; acquiring a pre-stored contact way of the current medical doctor according to the information of the current medical doctor, and generating a re-visit inquiry request of the patient according to the pre-stored contact way; acquiring current medical treatment number data of current medical treatment doctors according to the patient re-treatment inquiry request, and acquiring treatment inquiry reply data of the current medical treatment doctors for the patient re-treatment inquiry request; generating expected realization time of the current visit according to the data of the number of the current visits and the data of the visit inquiry reply, and generating a continuous inquiry command; and based on the continuous query instruction, screening out target medical diagnosis data matched with the current main body query requirement information from the current medical data for treatment, establishing the dependency relationship between the current expected realization time for treatment and the target medical diagnosis data, and generating the current main body identity verification instruction.
Specifically, a visit expectation realization time display column is further arranged on the current query result display interface and is used for displaying the current visit expectation realization time;
opening a subject identity confirmation verification for the current hospitalizing subject based on the current subject identity verification instruction, generating a medical data display authorization code when verifying that the current hospitalizing subject identity is true, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data and then further comprises: acquiring an expected visit receiving degree value made by a current medical subject for the current visit expected implementation time; judging whether the current medical treatment subject receives the medical treatment of a current medical treatment main doctor or not according to the expected medical treatment receiving degree value; if the current arrangement instruction is judged to be yes, generating a current arrangement instruction, and acquiring the path map data of the treatment department going to the current medical doctor based on the current arrangement instruction; and sending the path map data of the medical treatment department to a pre-stored information receiving terminal of the current medical treatment subject.
Specifically, an attribute information query instruction is generated according to the current subject attribute information, summary medical data matched with the current subject attribute information are queried from a preset block chain storage module based on the attribute information query instruction, target medical diagnosis data matched with the current subject query requirement information are screened from the current medical data, and a current subject identity verification instruction is generated; the method also comprises the following steps:
acquiring historical medical data of a current medical subject; the historical medical data for treatment comprises a plurality of refined medical treatment data, and each refined medical treatment data corresponds to diagnosis and treatment data issued by a plurality of departments respectively; generating an original confidentiality grade of the medical data corresponding to each refined medical treatment data according to each refined medical treatment data, and generating an original grade completion instruction; acquiring the attendance data attention weight of the current medical subject to each piece of refined medical attendance data according to the original grade completion instruction, wherein one attendance data attention weight corresponds to one piece of refined medical attendance data; generating actual encryption judgment data of the current clinic according to the original security level of the medical data and the care data attention weight; inputting the actual encryption judgment data of the current treatment to a preset medical data encryption grade judgment model, and acquiring real encryption grade data output by the medical data encryption grade judgment model; and encrypting the refined medical treatment data according to the real encryption grade data to generate encrypted medical data, storing the encrypted medical data in a Hash chain mode, and generating a block chain storage module.
Specifically, the encrypting the refined medical visit data according to the real encryption grade data and generating encrypted medical data, storing the encrypted medical data in a hash chaining manner, and generating a block chain storage module specifically includes:
encrypting the refined medical treatment data according to the real encryption grade data and respectively generating outer-layer encryption grade codes; generating an inner-layer encryption grade code according to the visit data intentional weight value corresponding to each refined medical visit data; establishing a plurality of branch Hash chain loading modules according to the outer encryption grade codes and the inner encryption grade codes, respectively storing the matched outer encryption grade codes and the matched inner encryption grade codes in the branch Hash chain loading modules, generating encrypted medical data, storing the encrypted medical data in a Hash chain loading mode, and generating a block chain storage module.
Specifically, a medical data management system based on blockchain storage, the system comprises:
the port acquisition module is used for acquiring a medical diagnosis data query instruction for starting medical query of a current medical subject based on a preset current medical data query port and generating a current medical diagnosis query interface based on the medical diagnosis data query instruction;
the query interface module is used for acquiring current query main body basic data input from the current medical diagnosis query interface, wherein the current query main body basic data comprise current main body attribute information and current main body query demand information;
the attribute generation module is used for generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information query instruction, screening target medical diagnosis data matched with the current subject query demand information from the current medical data, and generating a current subject identity verification instruction;
and the main body identity module is used for opening the main body identity confirmation verification of the current medical main body based on the current main body identity verification instruction, generating a medical data display authorization code when the current medical main body identity is verified to be real, generating a current query result display interface based on the medical data display authorization code, and the current query result display interface is used for displaying the target medical diagnosis data.
Specifically, the system further comprises:
the attribute information module is used for inquiring the summary medical data matched with the current main body attribute information from a preset block chain storage module based on the attribute information inquiry instruction, and extracting the information of the current medical doctor;
the main doctor module is used for acquiring the pre-stored contact information of the current medical doctor according to the current medical doctor information and generating a patient re-visit inquiry request according to the pre-stored contact information;
the patient re-visit module is used for acquiring the current medical visit number data of the current medical visit doctors according to the patient re-visit inquiry request and acquiring the visit inquiry reply data of the current medical visit doctors to the patient re-visit inquiry request;
the current visit module is used for generating expected realization time of the current visit according to the current number data of the visit people and the visit inquiry reply data and generating a continuous inquiry instruction;
the query instruction module is used for screening out target medical diagnosis data matched with the current main body query requirement information from the current medical data for treatment based on the continuous query instruction, establishing the dependency relationship between the current expected implementation time for treatment and the target medical diagnosis data, and generating the current main body identity verification instruction;
the doctor seeing expectation module is used for acquiring an expected doctor seeing reception degree value made by the current doctor seeing main body aiming at the current doctor seeing expected implementation time;
the receiving degree module is used for judging whether the current medical main body receives the treatment of the current medical main doctor according to the expected treatment receiving degree value;
the current arrangement module is used for generating a current arrangement instruction if the judgment result is yes, and acquiring the path map data of the treatment department for the current doctor based on the current arrangement instruction;
and the department path module is used for sending the visit department path map data to a pre-stored information receiving terminal of the current medical main body.
Specifically, the system further comprises:
the medical treatment module is used for acquiring historical medical treatment data of the current medical treatment subject; the historical medical data for treatment comprises a plurality of refined medical treatment data, and each refined medical treatment data corresponds to diagnosis and treatment data issued by a plurality of departments respectively;
the data generation module is used for generating an original confidentiality grade of the medical data corresponding to each refined medical treatment data according to each refined medical treatment data and generating an original grade completion instruction;
the grade completion module is used for acquiring the attendance data attention weight of the current hospitalizing subject to each piece of refined medical attendance data according to the original grade completion instruction, wherein one attendance data attention weight corresponds to one piece of refined medical attendance data;
the privacy grade module is used for generating actual encryption judgment data of the current treatment according to the original privacy grade of the medical data and the attention weight of the treatment data;
the encryption judging module is used for inputting the actual encryption judging data of the current treatment to a preset medical data encryption grade judging model and acquiring real encryption grade data output by the medical data encryption grade judging model;
the grade data module is used for encrypting the refined medical treatment data according to the real encrypted grade data to generate encrypted medical data, storing the encrypted medical data in a Hash chain mode and generating a block chain storage module;
the real encryption module is used for encrypting the refined medical treatment data according to the real encryption grade data and respectively generating an outer layer encryption grade code;
the inner layer encryption module is used for generating an inner layer encryption grade code according to the visit data intentional weight value corresponding to each refined medical visit data;
the Hash chain winding module is used for establishing a plurality of branch Hash chain winding modules according to the outer encryption grade codes and the inner encryption grade codes, storing the matched outer encryption grade codes and the inner encryption grade codes in the branch Hash chain winding modules respectively, generating encrypted medical data, storing the encrypted medical data in a Hash chain winding mode, and generating a block chain storage module.
A computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for managing medical data based on blockchain storage when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method for managing medical data based on blockchain storage.
The invention has the following technical effects:
according to the medical data management method and system based on block chain storage, a medical diagnosis data query instruction for starting medical query of a current medical subject is sequentially obtained through a preset current medical data query port, and a current medical diagnosis query interface is generated based on the medical diagnosis data query instruction; acquiring current query main body basic data input from the current medical diagnosis query interface, wherein the current query main body basic data comprise current main body attribute information and current main body query demand information; generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information query instruction, screening target medical diagnosis data matched with the current subject query demand information from the current medical data, and generating a current subject identity verification instruction; opening main body identity confirmation verification for the current medical subject based on the current main body identity verification instruction, generating a medical data display authorization code when the identity of the current medical subject is verified to be real, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data, namely firstly, in order to ensure the convenience and visibility of query, immediately generating the current medical diagnosis query interface after the medical diagnosis data query instruction is obtained, further, visually realizing the convenience of the current medical subject for querying data through the current medical diagnosis query interface, and then in order to realize accurate query, firstly, obtaining the basic identity information of the current medical subject, so that by obtaining the attribute information of the current subject and the query demand information of the current subject, wherein, by generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information in a preset block chain storage module, screening target medical diagnosis data matched with the current subject query demand information from the current medical diagnosis data, and generating the current subject identity verification instruction, all the medical record data related to the current medical subject, namely the summarized medical data, are queried first, and then specific screening is realized according to the current subject query demand information, namely, by screening the target medical diagnosis data matched with the current subject query demand information, and generating the current subject identity verification instruction, and then based on privacy consideration of the two data, therefore, and performing identity verification again, namely starting a subject identity confirmation verification on the current medical subject based on the current subject identity verification instruction, generating a medical data display authorization code when the current medical subject identity is verified to be real, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data, and further realizing efficient, quick and secret query of the medical diagnosis data.
Drawings
FIG. 1 is a flow diagram illustrating a method for managing medical data based on blockchain storage according to an embodiment;
FIG. 2 is a block diagram of a medical data management system based on blockchain storage in one embodiment;
FIG. 3 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, there is provided a method for managing medical data based on blockchain storage, the method comprising:
step S100: acquiring a medical treatment and diagnosis data query instruction for starting medical treatment query of a current medical treatment subject based on a preset current medical treatment data query port, and generating a current medical treatment and diagnosis query interface based on the medical treatment and diagnosis data query instruction;
specifically, the current medical data query port is preset, and includes a data terminal arranged in each hospital, for example, at a hospital registration place or at an entrance of each department. And then realize conveniently seeking medical personnel at present and inquire relevant data.
After the medical diagnosis data query instruction for starting medical query by the current medical subject is obtained, the current medical subject queries the relevant medical information, so that convenience in the query process is improved, and convenience in the medical process is improved by generating the current medical diagnosis query interface to quickly query.
Step S200: acquiring current query main body basic data input from the current medical diagnosis query interface, wherein the current query main body basic data comprise current main body attribute information and current main body query demand information;
specifically, the current query subject basic data reflects the query information of the current medical subject for the relevant input by the current medical subject. Furthermore, a plurality of areas are arranged on the current hospitalizing diagnosis query interface, different information input prompts are respectively arranged in each area, and the current hospitalizing main body query is facilitated by setting the information input prompts.
Still further, the information entry reminder includes a voice reminder, a dynamic video reminder, and a manual service reminder. The voice prompt is a voice guide input, and the dynamic video prompt is a dynamic video explanation so as to realize the dynamic explanation. The manual service is used for helping the old or the handicapped people not to actively input the related information through the option, and the manual service is used for reminding the related staff so as to help the staff to input the information.
The current query subject basic data comprises current subject attribute information and current subject query demand information. The current subject attribute information comprises attribute information closely related to the current medical subject, such as identity information, age information, family address information and the like.
The current subject query demand information is related information which needs to be queried by the current medical subject, such as the current medical subject xua query medical record, medical expense data, medical reimbursement data, medical treatment course data and the like.
Step S300: generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information query instruction, screening target medical diagnosis data matched with the current subject query demand information from the current medical data, and generating a current subject identity verification instruction;
specifically, in order to realize more accurate query of relevant medical data, in this step, an attribute information query instruction is generated according to the current subject attribute information, and the summarized medical data matched with the current subject attribute information is queried from a preset block chain storage module based on the attribute information query instruction. The summarized medical data for treatment is all query information of the current medical subject before the current query time point, that is, a set of all data for treatment of the current medical subject is summarized.
Then, target medical diagnosis data matched with the current main body query demand information are screened from the current medical data for treatment, and the current main body identity verification instruction is generated, namely, during specific query, data matched with the current data to be queried is queried from all the medical data for treatment, so that the universality of the queried data is ensured, the data query accuracy is improved, and the query efficiency of the medical data is improved.
Step S400: and opening a main body identity confirmation verification for the current medical main body based on the current main body identity verification instruction, generating a medical data display authorization code when the current medical main body identity is verified to be real, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data.
Specifically, in order to prevent other people from stealing related medical data, in this step, a subject identity confirmation verification is started for the current medical subject through the current subject identity verification instruction, that is, before the data to be queried is displayed, the identity information of the current medical subject is further confirmed, when the identity of the current medical subject is verified to be true, a medical data display authorization code is generated, a current query result display interface is generated based on the medical data display authorization code, and the current query result display interface is used for displaying the target medical diagnosis data.
Therefore, all the treatment record data related to the current treatment subject, namely the summarized treatment medical data, are firstly inquired, specific screening is realized according to the current subject inquiry demand information, namely, target medical diagnosis data matched with the current subject inquiry demand information is screened, the current subject identity verification instruction is generated, and then, based on privacy consideration of the two data, identity verification is carried out again, namely, subject identity verification is started on the current treatment subject based on the current subject identity verification instruction, when the identity of the current treatment subject is verified to be real, a medical data display authorization code is generated, a current inquiry result display interface is generated based on the medical data display authorization code, and the current inquiry result display interface is used for displaying the target medical diagnosis data, and further, the efficient, quick and secret query of the medical diagnosis data is realized.
In one embodiment, querying, based on the attribute information query instruction, summarized medical data matched with the current subject attribute information from a preset blockchain storage module, screening target medical diagnosis data matched with the current subject query requirement information from the current medical data, and generating the current subject authentication instruction specifically includes:
step S310: inquiring the summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information inquiry instruction, and extracting the information of the current medical attending doctors from the summarized medical data;
step S320: acquiring a pre-stored contact way of the current medical doctor according to the information of the current medical doctor, and generating a re-visit inquiry request of the patient according to the pre-stored contact way;
step S330: acquiring current medical treatment number data of current medical treatment doctors according to the patient re-treatment inquiry request, and acquiring treatment inquiry reply data of the current medical treatment doctors for the patient re-treatment inquiry request;
step S340: generating expected realization time of the current visit according to the data of the number of the current visits and the data of the visit inquiry reply, and generating a continuous inquiry command;
step S350: and based on the continuous query instruction, screening out target medical diagnosis data matched with the current main body query requirement information from the current medical data for treatment, establishing the dependency relationship between the current expected realization time for treatment and the target medical diagnosis data, and generating the current main body identity verification instruction.
Specifically, in order to simultaneously display the current medical treatment situation of the previously treated doctor when inquiring the relevant information and further determine whether the previously diagnosed doctor has time and energy to further perform consultation on the currently treated subject, in this step, first, summarized medical treatment data matched with the attribute information of the current subject is inquired from a preset block chain storage module based on the attribute information inquiry instruction, current primary treatment doctor information is extracted from the summarized medical treatment data, then, a pre-stored contact way of the currently treated doctor is obtained according to the current primary treatment doctor information, and a patient re-treatment inquiry request is generated according to the pre-stored contact way; then, acquiring the current medical treatment number data of the current medical treatment attending doctors according to the patient re-visit inquiry request, and acquiring the visit inquiry reply data of the current medical treatment attending doctors to the patient re-visit inquiry request; then, generating expected realization time of the current visit according to the data of the number of the current visits and the data of the visit inquiry reply, and generating a continuous inquiry command; further, based on the continuous query instruction, screening out target medical diagnosis data matched with the current main body query requirement information from the current medical data, establishing the dependency relationship between the expected implementation time of the current medical treatment and the target medical diagnosis data, and simultaneously generating the current main body identity verification instruction, wherein timely query is realized by presetting a contact manner, such as a telephone, a doctor department circuit or a video telephone of a doctor in advance, in addition, when the data of the number of the current medical treatment number is obtained, on-the-one-hand judgment of a main doctor is realized, in addition, the real consultation condition of the doctor can not be truly reflected by considering the condition of the number of the doctor, therefore, the main doctor can also obtain the response data of the current medical treatment request of the patient for re-diagnosis query, the method includes the steps of generating current clinic expected implementation time according to current clinic number data and clinic inquiry reply data, screening target medical diagnosis data matched with current main body inquiry demand information from the current clinic medical data, establishing a subordinate relationship between the current clinic expected implementation time and the target medical diagnosis data, and generating a current main body identity verification instruction.
In one embodiment, a visit expectation realization time display column is further arranged on the current query result display interface, and is used for displaying the current visit expectation realization time;
step S400: opening a subject identity confirmation verification for the current hospitalizing subject based on the current subject identity verification instruction, generating a medical data display authorization code when verifying that the current hospitalizing subject identity is true, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data and then further comprises:
step S410: acquiring an expected visit receiving degree value made by a current medical subject for the current visit expected implementation time;
step S420: judging whether the current medical treatment subject receives the medical treatment of a current medical treatment main doctor or not according to the expected medical treatment receiving degree value;
step S430: if the current arrangement instruction is judged to be yes, generating a current arrangement instruction, and acquiring the path map data of the treatment department going to the current medical doctor based on the current arrangement instruction;
step S440: and sending the path map data of the medical treatment department to a pre-stored information receiving terminal of the current medical treatment subject.
Specifically, in this step, after the possible visit time of the previous main doctor is generated, in order to determine whether the current medical subject receives the time, human-based consideration is embodied, so that an expected visit receiving degree value made by the current medical subject for the current visit expected implementation time is obtained in this step; then, judging whether the current medical subject receives the treatment of the current medical attending main doctor or not according to the expected medical treatment receiving degree value; if the judgment result is yes, generating a current arrangement instruction, and acquiring path map data of a doctor visiting department going to the current doctor visiting department based on the current arrangement instruction; and finally, the path map data of the department of seeing a doctor is sent to the pre-stored information receiving terminal of the current main body of seeing a doctor, so that humanized consideration is further realized, and meanwhile, the convenience of current personnel of seeing a doctor in the process of going to the department is improved through the path map data of the department of seeing a doctor who mainly sees a doctor at present.
In one embodiment, step S300: generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information query instruction, screening target medical diagnosis data matched with the current subject query demand information from the current medical data, and generating a current subject identity verification instruction; the method also comprises the following steps:
step S01: acquiring historical medical data of a current medical subject; the historical medical data for treatment comprises a plurality of refined medical treatment data, and each refined medical treatment data corresponds to diagnosis and treatment data issued by a plurality of departments respectively;
step S02: generating an original confidentiality grade of the medical data corresponding to each refined medical treatment data according to each refined medical treatment data, and generating an original grade completion instruction;
step S03: acquiring the attendance data attention weight of the current medical subject to each piece of refined medical attendance data according to the original grade completion instruction, wherein one attendance data attention weight corresponds to one piece of refined medical attendance data;
step S04: generating actual encryption judgment data of the current clinic according to the original security level of the medical data and the care data attention weight;
step S05: inputting the actual encryption judgment data of the current treatment to a preset medical data encryption grade judgment model, and acquiring real encryption grade data output by the medical data encryption grade judgment model;
step S06: and encrypting the refined medical treatment data according to the real encryption grade data to generate encrypted medical data, storing the encrypted medical data in a Hash chain mode, and generating a block chain storage module.
Specifically, historical medical data of a current medical subject is acquired; the historical medical data for treatment comprises a plurality of refined medical treatment data, and each refined medical treatment data corresponds to diagnosis and treatment data issued by a plurality of departments respectively; generating an original confidentiality grade of the medical data corresponding to each refined medical treatment data according to each refined medical treatment data, and generating an original grade completion instruction; then, acquiring the attention value of the current medical subject to the medical data of each refined medical data according to the original grade completion instruction, wherein one attention value of the medical data corresponds to one refined medical data; and then, generating current clinic actual encryption judgment data according to the original security level of the medical data and the current clinic data on-purpose weight, namely the current clinic actual encryption judgment data is formed after encryption, namely the original security level of the medical data is obtained through the security level corresponding to each preset data. For example, the beriberi diagnosis and treatment data is in a first-level encryption level, the endocrine system diagnosis and treatment data is in a tenth-level encryption level, and the higher the level is, the stronger the encryption is.
And then, the acquisition of the degree of attention of the current medical main body to each medical data is realized through the attention value of the medical data, so that the actual encrypted judgment data of the current medical treatment is realized by integrating two aspects.
Further, the real encryption grade data output by the medical data encryption grade judging model is obtained through the preset medical data encryption grade judging model. The medical data encryption level judgment model is formed by pre-training, namely pre-training by the technical personnel in the field according to a plurality of standard original data.
And finally, the refined medical treatment data is encrypted according to the real encryption grade data to generate encrypted medical data, the encrypted medical data is stored in a Hash chain mode, a block chain storage module is generated, the block chain is utilized to realize the non-falsification storage and storage of the data, and the safety and the confidentiality of the medical data are improved.
In one embodiment, step S06: encrypting the refined medical treatment data according to the real encryption grade data, generating encrypted medical data, storing the encrypted medical data in a Hash chain mode, and generating a block chain storage module, wherein the block chain storage module specifically comprises:
step S061: encrypting the refined medical treatment data according to the real encryption grade data and respectively generating outer-layer encryption grade codes;
step S062: generating an inner-layer encryption grade code according to the visit data intentional weight value corresponding to each refined medical visit data;
step S063: establishing a plurality of branch Hash chain loading modules according to the outer encryption grade codes and the inner encryption grade codes, respectively storing the matched outer encryption grade codes and the matched inner encryption grade codes in the branch Hash chain loading modules, generating encrypted medical data, storing the encrypted medical data in a Hash chain loading mode, and generating a block chain storage module.
Specifically, in this step, in order to achieve high efficiency and security of storage, the refined medical treatment data is encrypted according to the real encryption level data, and outer layer encryption level codes are generated respectively; then, an inner layer encryption grade code is generated according to the visit data corresponding to each refined medical visit data, namely, a plurality of branch Hash chain loading modules are established through the outer layer encryption grade code and the inner layer encryption grade code, so that the matching of the outer layer encryption grade code and the inner layer encryption grade code is respectively stored in each branch Hash chain loading module, the encrypted medical data is generated, the encrypted medical data is stored in a Hash chain loading mode, a block chain storage module is generated, and the branch refined storage of the data is realized by the arrangement of each branch Hash chain loading module, so that the safety of the data is improved.
In conclusion, the medical diagnosis query interface system and the medical diagnosis query method sequentially acquire the medical diagnosis data query instruction for starting medical query of the current medical subject based on the preset current medical data query port, and generate the current medical diagnosis query interface based on the medical diagnosis data query instruction; acquiring current query main body basic data input from the current medical diagnosis query interface, wherein the current query main body basic data comprise current main body attribute information and current main body query demand information; generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information query instruction, screening target medical diagnosis data matched with the current subject query demand information from the current medical data, and generating a current subject identity verification instruction; opening main body identity confirmation verification for the current medical subject based on the current main body identity verification instruction, generating a medical data display authorization code when the identity of the current medical subject is verified to be real, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data, namely firstly, in order to ensure the convenience and visibility of query, immediately generating the current medical diagnosis query interface after the medical diagnosis data query instruction is obtained, further, visually realizing the convenience of the current medical subject for querying data through the current medical diagnosis query interface, and then in order to realize accurate query, firstly, obtaining the basic identity information of the current medical subject, so that by obtaining the attribute information of the current subject and the query demand information of the current subject, wherein, by generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information in a preset block chain storage module, screening target medical diagnosis data matched with the current subject query demand information from the current medical diagnosis data, and generating the current subject identity verification instruction, all the medical record data related to the current medical subject, namely the summarized medical data, are queried first, and then specific screening is realized according to the current subject query demand information, namely, by screening the target medical diagnosis data matched with the current subject query demand information, and generating the current subject identity verification instruction, and then based on privacy consideration of the two data, therefore, and performing identity verification again, namely starting a subject identity confirmation verification on the current medical subject based on the current subject identity verification instruction, generating a medical data display authorization code when the current medical subject identity is verified to be real, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data, and further realizing efficient, quick and secret query of the medical diagnosis data.
In one embodiment, as shown in fig. 2, a system for managing medical data based on blockchain storage, the system comprising:
the port acquisition module is used for acquiring a medical diagnosis data query instruction for starting medical query of a current medical subject based on a preset current medical data query port and generating a current medical diagnosis query interface based on the medical diagnosis data query instruction;
the query interface module is used for acquiring current query main body basic data input from the current medical diagnosis query interface, wherein the current query main body basic data comprise current main body attribute information and current main body query demand information;
the attribute generation module is used for generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information query instruction, screening target medical diagnosis data matched with the current subject query demand information from the current medical data, and generating a current subject identity verification instruction;
and the main body identity module is used for opening the main body identity confirmation verification of the current medical main body based on the current main body identity verification instruction, generating a medical data display authorization code when the current medical main body identity is verified to be real, generating a current query result display interface based on the medical data display authorization code, and the current query result display interface is used for displaying the target medical diagnosis data.
In one embodiment, the system further comprises:
the attribute information module is used for inquiring the summary medical data matched with the current main body attribute information from a preset block chain storage module based on the attribute information inquiry instruction, and extracting the information of the current medical doctor;
the main doctor module is used for acquiring the pre-stored contact information of the current medical doctor according to the current medical doctor information and generating a patient re-visit inquiry request according to the pre-stored contact information;
the patient re-visit module is used for acquiring the current medical visit number data of the current medical visit doctors according to the patient re-visit inquiry request and acquiring the visit inquiry reply data of the current medical visit doctors to the patient re-visit inquiry request;
the current visit module is used for generating expected realization time of the current visit according to the current number data of the visit people and the visit inquiry reply data and generating a continuous inquiry instruction;
the query instruction module is used for screening out target medical diagnosis data matched with the current main body query requirement information from the current medical data for treatment based on the continuous query instruction, establishing the dependency relationship between the current expected implementation time for treatment and the target medical diagnosis data, and generating the current main body identity verification instruction;
the doctor seeing expectation module is used for acquiring an expected doctor seeing reception degree value made by the current doctor seeing main body aiming at the current doctor seeing expected implementation time;
the receiving degree module is used for judging whether the current medical main body receives the treatment of the current medical main doctor according to the expected treatment receiving degree value;
the current arrangement module is used for generating a current arrangement instruction if the judgment result is yes, and acquiring the path map data of the treatment department for the current doctor based on the current arrangement instruction;
and the department path module is used for sending the visit department path map data to a pre-stored information receiving terminal of the current medical main body.
In one embodiment, the system further comprises:
the medical treatment module is used for acquiring historical medical treatment data of the current medical treatment subject; the historical medical data for treatment comprises a plurality of refined medical treatment data, and each refined medical treatment data corresponds to diagnosis and treatment data issued by a plurality of departments respectively;
the data generation module is used for generating an original confidentiality grade of the medical data corresponding to each refined medical treatment data according to each refined medical treatment data and generating an original grade completion instruction;
the grade completion module is used for acquiring the attendance data attention weight of the current hospitalizing subject to each piece of refined medical attendance data according to the original grade completion instruction, wherein one attendance data attention weight corresponds to one piece of refined medical attendance data;
the privacy grade module is used for generating actual encryption judgment data of the current treatment according to the original privacy grade of the medical data and the attention weight of the treatment data;
the encryption judging module is used for inputting the actual encryption judging data of the current treatment to a preset medical data encryption grade judging model and acquiring real encryption grade data output by the medical data encryption grade judging model;
the grade data module is used for encrypting the refined medical treatment data according to the real encrypted grade data to generate encrypted medical data, storing the encrypted medical data in a Hash chain mode and generating a block chain storage module;
the real encryption module is used for encrypting the refined medical treatment data according to the real encryption grade data and respectively generating an outer layer encryption grade code;
the inner layer encryption module is used for generating an inner layer encryption grade code according to the visit data intentional weight value corresponding to each refined medical visit data;
the Hash chain winding module is used for establishing a plurality of branch Hash chain winding modules according to the outer encryption grade codes and the inner encryption grade codes, storing the matched outer encryption grade codes and the inner encryption grade codes in the branch Hash chain winding modules respectively, generating encrypted medical data, storing the encrypted medical data in a Hash chain winding mode, and generating a block chain storage module.
In one embodiment, as shown in fig. 3, a computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method for managing medical data based on blockchain storage when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method for managing medical data based on blockchain storage.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method for managing medical data based on blockchain storage, the method comprising:
acquiring a medical treatment and diagnosis data query instruction for starting medical treatment query of a current medical treatment subject based on a preset current medical treatment data query port, and generating a current medical treatment and diagnosis query interface based on the medical treatment and diagnosis data query instruction; acquiring current query main body basic data input from the current medical diagnosis query interface, wherein the current query main body basic data comprise current main body attribute information and current main body query demand information; generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information query instruction, screening target medical diagnosis data matched with the current subject query demand information from the current medical data, and generating a current subject identity verification instruction; and opening a main body identity confirmation verification for the current medical main body based on the current main body identity verification instruction, generating a medical data display authorization code when the current medical main body identity is verified to be real, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data.
2. The method for managing medical data based on blockchain storage according to claim 1, wherein the querying, based on the attribute information querying instruction, summarized medical data matched with the attribute information of the current subject from a preset blockchain storage module, and the screening, from the current medical data, target medical diagnosis data matched with the query requirement information of the current subject, and the generating of the current subject authentication instruction specifically include:
inquiring the summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information inquiry instruction, and extracting the information of the current medical attending doctors from the summarized medical data; acquiring a pre-stored contact way of the current medical doctor according to the information of the current medical doctor, and generating a re-visit inquiry request of the patient according to the pre-stored contact way; acquiring current medical treatment number data of current medical treatment doctors according to the patient re-treatment inquiry request, and acquiring treatment inquiry reply data of the current medical treatment doctors for the patient re-treatment inquiry request; generating expected realization time of the current visit according to the data of the number of the current visits and the data of the visit inquiry reply, and generating a continuous inquiry command; and based on the continuous query instruction, screening out target medical diagnosis data matched with the current main body query requirement information from the current medical data for treatment, establishing the dependency relationship between the current expected realization time for treatment and the target medical diagnosis data, and generating the current main body identity verification instruction.
3. The method for managing medical data based on blockchain storage according to claim 2, wherein a visit expected implementation time display bar is further disposed on the current query result display interface, and the visit expected implementation time display bar is used for displaying the current visit expected implementation time;
opening a subject identity confirmation verification for the current hospitalizing subject based on the current subject identity verification instruction, generating a medical data display authorization code when verifying that the current hospitalizing subject identity is true, generating a current query result display interface based on the medical data display authorization code, wherein the current query result display interface is used for displaying the target medical diagnosis data and then further comprises: acquiring an expected visit receiving degree value made by a current medical subject for the current visit expected implementation time; judging whether the current medical treatment subject receives the medical treatment of a current medical treatment main doctor or not according to the expected medical treatment receiving degree value; if the current arrangement instruction is judged to be yes, generating a current arrangement instruction, and acquiring the path map data of the treatment department going to the current medical doctor based on the current arrangement instruction; and sending the path map data of the medical treatment department to a pre-stored information receiving terminal of the current medical treatment subject.
4. The method for managing medical data based on blockchain storage according to any one of claims 1 to 3, wherein an attribute information query instruction is generated according to the current subject attribute information, summarized medical data matched with the current subject attribute information is queried from a preset blockchain storage module based on the attribute information query instruction, target medical diagnosis data matched with the current subject query requirement information is screened from the current medical data, and the current subject identity verification instruction is generated; the method also comprises the following steps:
acquiring historical medical data of a current medical subject; the historical medical data for treatment comprises a plurality of refined medical treatment data, and each refined medical treatment data corresponds to diagnosis and treatment data issued by a plurality of departments respectively; generating an original confidentiality grade of the medical data corresponding to each refined medical treatment data according to each refined medical treatment data, and generating an original grade completion instruction; acquiring the attendance data attention weight of the current medical subject to each piece of refined medical attendance data according to the original grade completion instruction, wherein one attendance data attention weight corresponds to one piece of refined medical attendance data; generating actual encryption judgment data of the current clinic according to the original security level of the medical data and the care data attention weight; inputting the actual encryption judgment data of the current treatment to a preset medical data encryption grade judgment model, and acquiring real encryption grade data output by the medical data encryption grade judgment model; and encrypting the refined medical treatment data according to the real encryption grade data to generate encrypted medical data, storing the encrypted medical data in a Hash chain mode, and generating a block chain storage module.
5. The method as claimed in claim 4, wherein the step of encrypting the refined medical visit data according to the true encryption level data to generate encrypted medical data, storing the encrypted medical data in a hash chaining manner, and generating a blockchain storage module comprises:
encrypting the refined medical treatment data according to the real encryption grade data and respectively generating outer-layer encryption grade codes; generating an inner-layer encryption grade code according to the visit data intentional weight value corresponding to each refined medical visit data; establishing a plurality of branch Hash chain loading modules according to the outer encryption grade codes and the inner encryption grade codes, respectively storing the matched outer encryption grade codes and the matched inner encryption grade codes in the branch Hash chain loading modules, generating encrypted medical data, storing the encrypted medical data in a Hash chain loading mode, and generating a block chain storage module.
6. A system for managing medical data based on blockchain storage, the system comprising:
the port acquisition module is used for acquiring a medical diagnosis data query instruction for starting medical query of a current medical subject based on a preset current medical data query port and generating a current medical diagnosis query interface based on the medical diagnosis data query instruction;
the query interface module is used for acquiring current query main body basic data input from the current medical diagnosis query interface, wherein the current query main body basic data comprise current main body attribute information and current main body query demand information;
the attribute generation module is used for generating an attribute information query instruction according to the current subject attribute information, querying summarized medical data matched with the current subject attribute information from a preset block chain storage module based on the attribute information query instruction, screening target medical diagnosis data matched with the current subject query demand information from the current medical data, and generating a current subject identity verification instruction;
and the main body identity module is used for opening the main body identity confirmation verification of the current medical main body based on the current main body identity verification instruction, generating a medical data display authorization code when the current medical main body identity is verified to be real, generating a current query result display interface based on the medical data display authorization code, and the current query result display interface is used for displaying the target medical diagnosis data.
7. The system for block chain storage based medical data management according to claim 6, further comprising:
the attribute information module is used for inquiring the summary medical data matched with the current main body attribute information from a preset block chain storage module based on the attribute information inquiry instruction, and extracting the information of the current medical doctor;
the main doctor module is used for acquiring the pre-stored contact information of the current medical doctor according to the current medical doctor information and generating a patient re-visit inquiry request according to the pre-stored contact information;
the patient re-visit module is used for acquiring the current medical visit number data of the current medical visit doctors according to the patient re-visit inquiry request and acquiring the visit inquiry reply data of the current medical visit doctors to the patient re-visit inquiry request;
the current visit module is used for generating expected realization time of the current visit according to the current number data of the visit people and the visit inquiry reply data and generating a continuous inquiry instruction;
the query instruction module is used for screening out target medical diagnosis data matched with the current main body query requirement information from the current medical data for treatment based on the continuous query instruction, establishing the dependency relationship between the current expected implementation time for treatment and the target medical diagnosis data, and generating the current main body identity verification instruction;
the doctor seeing expectation module is used for acquiring an expected doctor seeing reception degree value made by the current doctor seeing main body aiming at the current doctor seeing expected implementation time;
the receiving degree module is used for judging whether the current medical main body receives the treatment of the current medical main doctor according to the expected treatment receiving degree value;
the current arrangement module is used for generating a current arrangement instruction if the judgment result is yes, and acquiring the path map data of the treatment department for the current doctor based on the current arrangement instruction;
and the department path module is used for sending the visit department path map data to a pre-stored information receiving terminal of the current medical main body.
8. The system for block chain storage based medical data management according to claim 6, further comprising:
the medical treatment module is used for acquiring historical medical treatment data of the current medical treatment subject; the historical medical data for treatment comprises a plurality of refined medical treatment data, and each refined medical treatment data corresponds to diagnosis and treatment data issued by a plurality of departments respectively;
the data generation module is used for generating an original confidentiality grade of the medical data corresponding to each refined medical treatment data according to each refined medical treatment data and generating an original grade completion instruction;
the grade completion module is used for acquiring the attendance data attention weight of the current hospitalizing subject to each piece of refined medical attendance data according to the original grade completion instruction, wherein one attendance data attention weight corresponds to one piece of refined medical attendance data;
the privacy grade module is used for generating actual encryption judgment data of the current treatment according to the original privacy grade of the medical data and the attention weight of the treatment data;
the encryption judging module is used for inputting the actual encryption judging data of the current treatment to a preset medical data encryption grade judging model and acquiring real encryption grade data output by the medical data encryption grade judging model;
the grade data module is used for encrypting the refined medical treatment data according to the real encrypted grade data to generate encrypted medical data, storing the encrypted medical data in a Hash chain mode and generating a block chain storage module;
the real encryption module is used for encrypting the refined medical treatment data according to the real encryption grade data and respectively generating an outer layer encryption grade code;
the inner layer encryption module is used for generating an inner layer encryption grade code according to the visit data intentional weight value corresponding to each refined medical visit data;
the Hash chain winding module is used for establishing a plurality of branch Hash chain winding modules according to the outer encryption grade codes and the inner encryption grade codes, storing the matched outer encryption grade codes and the inner encryption grade codes in the branch Hash chain winding modules respectively, generating encrypted medical data, storing the encrypted medical data in a Hash chain winding mode, and generating a block chain storage module.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 5.
CN202110827398.6A 2021-07-21 2021-07-21 Medical data management method and system based on block chain storage Pending CN113421655A (en)

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