CN113468265A - Block chain-based medical data processing method and device - Google Patents

Block chain-based medical data processing method and device Download PDF

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Publication number
CN113468265A
CN113468265A CN202110634574.4A CN202110634574A CN113468265A CN 113468265 A CN113468265 A CN 113468265A CN 202110634574 A CN202110634574 A CN 202110634574A CN 113468265 A CN113468265 A CN 113468265A
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data
demand
medical
storage
processed
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胡亚伟
贾震
贡建军
陈浩
谭坤霖
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Shanghai Pigeon Information Technology Co ltd
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Shanghai Pigeon Information Technology Co ltd
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    • 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
    • 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
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • 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
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification
    • 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

Abstract

The application discloses a medical data processing method and device based on a block chain. The method comprises the following steps: the method comprises the steps of identifying demand data provided by each node in a medical service platform through a medical data service platform based on a block chain, carrying out processing such as cutting, classifying and calculating on to-be-processed medical data corresponding to the demand data to obtain storage position data of the to-be-processed medical data, and carrying out distributed storage on the to-be-processed medical data based on the storage position data.

Description

Block chain-based medical data processing method and device
Technical Field
The present application relates to the field of blockchains, and in particular, to a method and an apparatus for processing medical data based on blockchains.
Background
The medical data refers to data generated in the process of diagnosis and treatment of a patient by a doctor, and comprises basic data of the patient, electronic medical records, diagnosis and treatment data, medical image data, medical management, economic data, medical equipment, instrument data and the like, and has the characteristics of multiple types, large quantity and unstructured performance.
The traditional data use mode of the medical institution no longer meets the requirement of digitization, the medical data of the current hospital system is difficult to trace and apply, and the data is uncontrollable during industrial supervision; medical data among different medical institutions is difficult to share, and trans-regional and trans-hospital referral data are difficult to synchronize; meanwhile, the safety and reliability of the current storage mode of medical data need to be improved.
Therefore, the management of the medical data in the prior art has the technical problem of low digitalization degree.
Disclosure of Invention
The present application mainly aims to provide a method for processing medical data based on a blockchain, so as to solve the technical problem that the management of the medical data has a low digitization degree.
In order to achieve the above object, the present application provides a method for processing medical data based on a blockchain.
In a second aspect of the present application, a blockchain-based medical data processing apparatus is provided.
In a third aspect of the present application, a computer-readable storage medium is presented.
In view of the above, according to a first aspect of the present application, a method for processing medical data based on a block chain is provided, including: acquiring demand data, wherein the demand data is data of demands generated in the application process of a medical data service platform; identifying the demand data to obtain medical data to be processed corresponding to the demand data; based on a preset storage rule, performing storage calculation processing on the medical data to be processed to obtain storage position data of the medical data to be processed; and performing storage operation on the medical data to be processed based on the storage position data.
Further, based on a preset storage rule, performing storage calculation processing on the medical data to be processed to obtain storage location data of the medical data to be processed, including: based on a preset file cutting rule, cutting the medical data to be processed to obtain file block data, wherein the file block data is the data of the file block obtained by cutting; classifying the file block data based on a preset file classification rule to obtain classification result data; and based on a preset position data calculation rule, performing storage position calculation processing on the classification result data to obtain the storage position data.
Further, based on a preset position data calculation rule, performing storage position calculation processing on the classification result data to obtain the storage position data, including: identifying the classification result data to obtain identification data corresponding to the classification result data; calculating the identification data based on a preset algorithm to obtain object storage data; and screening the object storage data based on a preset screening condition to obtain the storage position data.
Further, identifying the demand data to obtain to-be-processed medical data corresponding to the demand data includes: identifying the demand data to obtain a demand type corresponding to the demand data, wherein the demand type comprises query demand and storage demand; obtaining medical data to be processed corresponding to the demand data based on the demand type, including: if the requirement type is a storage requirement, identifying medical data to be processed in the medical data; and if the demand type is the query demand, acquiring target medical data corresponding to the demand data from the medical service platform database based on the demand data.
Further, if the requirement type is an inquiry requirement, based on the requirement data, obtaining target medical data corresponding to the requirement data from the medical service platform database, including: identifying the demand data, and identifying characteristic data in the demand data; identifying authority data in the characteristic data, and judging whether the authority data meets a preset inquiry authority or not; and if the authority data meet the preset inquiry authority, matching target medical data corresponding to the characteristic data in the medical service platform database based on the characteristic data.
According to a second aspect of the present application, a blockchain-based medical data processing apparatus is presented, comprising: the system comprises a demand module, a data processing module and a data processing module, wherein the demand module is used for acquiring demand data, and the demand data is data of demands generated in the application process of a medical data service platform; the identification module is used for identifying the demand data and acquiring the medical data to be processed corresponding to the demand data; the calculation module is used for performing storage calculation processing on the medical data to be processed based on a preset storage rule to obtain storage position data of the medical data to be processed; and the execution module is used for storing the medical data to be processed based on the storage position data.
Further, a computing module comprising: the cutting module is used for cutting the medical data to be processed based on a preset file cutting rule to obtain file block data, wherein the file block data is the data of the file block obtained by cutting; the classification module is used for classifying the file block data based on a preset file classification rule to obtain classification result data; and the position calculation module is used for calculating and processing the storage position of the classification result data based on a preset position data calculation rule to obtain the storage position data.
Further, the position calculation rule, based on a preset position data calculation rule, performs storage position calculation processing on the classification result data to obtain the storage position data, and includes: identifying the classification result data to obtain identification data corresponding to the classification result data; calculating the identification data based on a preset algorithm to obtain object storage data; and screening the object storage data based on a preset screening condition to obtain the storage position data.
Further, the identifying module identifies the requirement data to obtain the medical data to be processed corresponding to the requirement data, and includes: identifying the demand data to obtain a demand type corresponding to the demand data, wherein the demand type comprises query demand and storage demand; obtaining medical data to be processed corresponding to the demand data based on the demand type, including: if the requirement type is a storage requirement, identifying medical data to be processed in the medical data; and if the demand type is the query demand, acquiring target medical data corresponding to the demand data from the medical service platform database based on the demand data.
According to a third aspect of the present application, a computer-readable storage medium is proposed, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned blockchain-based medical data processing method.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the application, in the application process of a medical service platform, demand data provided by nodes in the medical service platform are obtained, the demand data are identified, whether the demand data correspond to a storage or query demand is judged, if the demand data correspond to the storage demand, the medical data to be processed corresponding to the demand data are segmented based on a preset segmentation rule to obtain file block data, the file block data are classified, storage position data of the medical data to be processed for drinking are obtained based on identification data in a classification result so as to complete distributed storage of the medical data to be processed, if the demand data correspond to the query demand, characteristic data in the query demand are identified, target medical data corresponding to the characteristic data are obtained from a medical service platform database based on the characteristic data, and the medical data service platform based on a block chain is used, the medical data management system has the advantages that required data provided by nodes in the medical service platform are processed, distributed storage and management of medical data are achieved, the purpose of improving the digitization degree of medical data management is achieved, the technical problem that the digitization degree of medical data management in the prior art is low is solved, and the technical effects of improving safety and reliability of medical data storage are achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
fig. 1 is a schematic flowchart of a method for processing medical data based on a blockchain according to the present application;
fig. 2 is a schematic flowchart of a method for processing medical data based on a blockchain according to the present application;
fig. 3 is a schematic flowchart of a method for processing medical data based on a blockchain according to the present application;
fig. 4 is a schematic structural diagram of a block chain-based medical data processing apparatus provided in the present application;
fig. 5 is a schematic structural diagram of another block chain-based medical data processing apparatus provided in the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In this application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings. These terms are used primarily to better describe the present application and its embodiments, and are not used to limit the indicated devices, elements or components to a particular orientation or to be constructed and operated in a particular orientation.
Moreover, some of the above terms may be used to indicate other meanings besides the orientation or positional relationship, for example, the term "on" may also be used to indicate some kind of attachment or connection relationship in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
Furthermore, the terms "mounted," "disposed," "provided," "connected," and "sleeved" are to be construed broadly. For example, "connected" may be a fixed connection, a detachable connection, or a unitary construction; can be a mechanical connection, or an electrical connection; may be directly connected, or indirectly connected through intervening media, or may be in internal communication between two devices, elements or components. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
Fig. 1 is a schematic flowchart of a method for processing medical data based on a blockchain according to the present application, as shown in fig. 1, the method includes the following steps:
s101: acquiring demand data, wherein the demand data is data of demands generated in the application process of a medical data service platform;
a plurality of nodes exist in the medical data service platform, and different nodes provide requirements in the application process of the medical data service platform.
S102: identifying the demand data to obtain medical data to be processed corresponding to the demand data;
fig. 2 is a schematic flowchart of a method for processing medical data based on a blockchain according to the present application, as shown in fig. 2, the method includes the following steps:
s201: identifying the demand data to obtain a demand type corresponding to the demand data, wherein the demand type comprises query demand and storage demand;
s202: if the requirement type is a storage requirement, identifying medical data to be processed in the medical data;
s203: and if the demand type is the query demand, acquiring target medical data corresponding to the demand data from the medical service platform database based on the demand data.
Identifying the demand data, and identifying characteristic data in the demand data;
identifying authority data in the characteristic data, and judging whether the authority data meets a preset inquiry authority or not;
and if the authority data meet the preset inquiry authority, matching target medical data corresponding to the characteristic data in the medical service platform database based on the characteristic data.
For example, if the demand data is medical data of a patient a queried by a medical institution a, the method includes: the medical data of the patient A is acquired from the medical service platform database based on the digital identity information of the patient A.
Further, when doctor-patient disputes or insurance disputes occur, medical data traceability requirements are generated, whether the traceability requirements meet preset traceability requirements or not is judged, namely whether permission data in the demand data meet preset inquiry permission or not is judged, and if yes, medical data corresponding to the demand data are accessed based on characteristic data in the demand data.
S103: based on a preset storage rule, performing storage calculation processing on the medical data to be processed to obtain storage position data of the medical data to be processed;
fig. 3 is a schematic flowchart of a method for processing medical data based on a blockchain according to the present application, and as shown in fig. 3, the method includes the following steps:
s301: based on a preset file cutting rule, cutting the medical data to be processed to obtain file block data, wherein the file block data is the data of the file block obtained by cutting;
the method comprises the steps that medical data to be processed are cut according to the size of a file, the medical data to be processed are cut into file blocks, and file block data are obtained and at least comprise file block name data;
s302: classifying the file block data based on a preset file classification rule to obtain classification result data;
based on a hash algorithm, the file blocks are classified, the storage of the file blocks is mapped to an organization and a position, the file blocks are classified into a Place Group (PG) to obtain classification result data, namely, place Group data.
S303: and based on a preset position data calculation rule, performing storage position calculation processing on the classification result data to obtain the storage position data.
Calculating the ID of the PG based on a CRUSH algorithm to obtain an Object-based Storage Device list (OSD), screening the Object Storage data based on a preset screening condition to obtain a plurality of OSD corresponding to the PGID, and obtaining the Storage position data.
S104: and performing storage operation on the medical data to be processed based on the storage position data.
Fig. 4 is a schematic structural diagram of a block chain-based medical data processing apparatus proposed in the present application, and as shown in fig. 4, the apparatus includes:
a requirement module 41, configured to obtain requirement data, where the requirement data is data of a requirement generated in a medical data service platform application process;
the identification module 42 is configured to identify the demand data, and obtain to-be-processed medical data corresponding to the demand data;
the calculation module 43 is used for performing storage calculation processing on the medical data to be processed based on a preset storage rule to obtain storage position data of the medical data to be processed;
and the execution module 44 is used for performing storage operation on the medical data to be processed based on the storage position data.
Fig. 5 is a schematic structural diagram of another block chain-based medical data processing apparatus proposed in the present application, and as shown in fig. 5, the apparatus includes:
the cutting module 51 is used for cutting the medical data to be processed based on a preset file cutting rule to obtain file block data, wherein the file block data is the data of the file block obtained by cutting;
the classification module 52 is used for classifying the file block data based on a preset file classification rule to obtain classification result data;
and the position calculation module 53 performs storage position calculation processing on the classification result data based on a preset position data calculation rule to obtain the storage position data.
The specific manner of executing the operations of the units in the above embodiments has been described in detail in the embodiments related to the method, and will not be elaborated herein.
To sum up, in the present application, in the application process of the medical service platform, the demand data provided by the nodes in the medical service platform is obtained, the demand data is identified, it is determined that the demand data corresponds to the storage or query requirement, if the demand data is the storage requirement, the medical data to be processed corresponding to the demand data is segmented based on the preset segmentation rule to obtain the file block data, the file block data is classified, the storage location data of the medical data to be processed is obtained based on the identification data in the classification result, so as to complete the distributed storage of the medical data to be processed, if the demand data is the query requirement, the feature data in the query requirement is identified, and the target medical data corresponding to the feature data is obtained in the medical service platform database based on the feature data, through the medical data service platform based on the block chain, the demand data provided by the nodes in the medical service platform are processed, distributed storage and management of the medical data are achieved, the aim of improving the digitization degree of medical data management is achieved, the technical problem that in the prior art, the digitization degree is low in management of the medical data is solved, and the technical effects of improving the safety and reliability of medical data storage are achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
It will be apparent to those skilled in the art that the various elements or steps of the present application described above may be implemented by a general purpose computing device, centralized on a single computing device or distributed across a network of multiple computing devices, or alternatively, may be implemented by program code executable by a computing device, such that the program code may be stored in a memory device and executed by a computing device, or may be implemented by individual integrated circuit modules, or by a plurality of modules or steps included in the program code as a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A medical data processing method based on a block chain is applied to a medical data service platform and is characterized by comprising the following steps:
acquiring demand data, wherein the demand data is data of demands generated in the application process of a medical data service platform;
identifying the demand data to obtain medical data to be processed corresponding to the demand data;
based on a preset storage rule, performing storage calculation processing on the medical data to be processed to obtain storage position data of the medical data to be processed;
and performing storage operation on the medical data to be processed based on the storage position data.
2. The data processing method according to claim 1, wherein performing storage calculation processing on the medical data to be processed based on a preset storage rule to obtain storage location data of the medical data to be processed comprises:
based on a preset file cutting rule, cutting the medical data to be processed to obtain file block data, wherein the file block data is the data of the file block obtained by cutting;
classifying the file block data based on a preset file classification rule to obtain classification result data;
and based on a preset position data calculation rule, performing storage position calculation processing on the classification result data to obtain the storage position data.
3. The data processing method according to claim 2, wherein performing storage location calculation processing on the classification result data based on a preset location data calculation rule to obtain the storage location data comprises:
identifying the classification result data to obtain identification data corresponding to the classification result data;
calculating the identification data based on a preset algorithm to obtain object storage data;
and screening the object storage data based on a preset screening condition to obtain the storage position data.
4. The data processing method according to claim 1, wherein identifying the demand data to obtain medical data to be processed corresponding to the demand data comprises:
identifying the demand data to obtain a demand type corresponding to the demand data, wherein the demand type comprises query demand and storage demand;
obtaining medical data to be processed corresponding to the demand data based on the demand type, including:
if the requirement type is a storage requirement, identifying medical data to be processed in the medical data;
and if the demand type is the query demand, acquiring target medical data corresponding to the demand data from the medical service platform database based on the demand data.
5. The data processing method according to claim 3, wherein if the requirement type is query requirement, obtaining target medical data corresponding to the requirement data in the medical service platform database based on the requirement data comprises:
identifying the demand data, and identifying characteristic data in the demand data;
identifying authority data in the characteristic data, and judging whether the authority data meets a preset inquiry authority or not;
and if the authority data meet the preset inquiry authority, matching target medical data corresponding to the characteristic data in the medical service platform database based on the characteristic data.
6. A blockchain-based medical data processing apparatus, comprising:
the system comprises a demand module, a data processing module and a data processing module, wherein the demand module is used for acquiring demand data, and the demand data is data of demands generated in the application process of a medical data service platform;
the identification module is used for identifying the demand data and acquiring the medical data to be processed corresponding to the demand data;
the calculation module is used for performing storage calculation processing on the medical data to be processed based on a preset storage rule to obtain storage position data of the medical data to be processed;
and the execution module is used for storing the medical data to be processed based on the storage position data.
7. The data processing apparatus of claim 6, wherein the computing module comprises:
the cutting module is used for cutting the medical data to be processed based on a preset file cutting rule to obtain file block data, wherein the file block data is the data of the file block obtained by cutting;
the classification module is used for classifying the file block data based on a preset file classification rule to obtain classification result data;
and the position calculation module is used for calculating and processing the storage position of the classification result data based on a preset position data calculation rule to obtain the storage position data.
8. The data processing apparatus according to claim 7, wherein a position calculation rule, based on a preset position data calculation rule, performs storage position calculation processing on the classification result data to obtain the storage position data, and includes:
identifying the classification result data to obtain identification data corresponding to the classification result data;
calculating the identification data based on a preset algorithm to obtain object storage data;
and screening the object storage data based on a preset screening condition to obtain the storage position data.
9. The data processing device according to claim 1, wherein the identifying module identifies the demand data to obtain the medical data to be processed corresponding to the demand data, and includes:
identifying the demand data to obtain a demand type corresponding to the demand data, wherein the demand type comprises query demand and storage demand;
obtaining medical data to be processed corresponding to the demand data based on the demand type, including:
if the requirement type is a storage requirement, identifying medical data to be processed in the medical data;
and if the demand type is the query demand, acquiring target medical data corresponding to the demand data from the medical service platform database based on the demand data.
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 blockchain-based medical data processing method according to any one of claims 1 to 5.
CN202110634574.4A 2021-06-07 2021-06-07 Block chain-based medical data processing method and device Pending CN113468265A (en)

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