CN117675870A - Electronic medical record distributed sharing method and device based on blockchain - Google Patents
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Abstract
The invention provides a block chain-based electronic medical record distributed sharing method and a block chain-based electronic medical record distributed sharing device, which relate to the field of electronic medical record sharing, and the method comprises the following steps: acquiring electronic medical record data, operation information and medical record index information corresponding to each node; judging the electronic medical record data corresponding to each node through a preset intelligent contract model, and obtaining an original medical record data set when the electronic medical record data meets preset judging requirements; classifying and calculating the original medical record data set to obtain an original medical record abstract and a desensitization data set; extracting description information from the electronic medical record data to obtain a medical record description data set; storing the desensitized medical record file and the medical record description data set to obtain file storage information, and returning an index address of the file storage information; the operation information, medical record index information, original medical record abstract and desensitized medical record abstract are uplink. The method ensures the storage safety of the electronic medical record data and enhances the sharing property of the electronic medical record data.
Description
Technical Field
The invention relates to the field of sharing of electronic medical records, in particular to a block chain-based distributed sharing method and device of electronic medical records.
Background
In the prior art, electronic medical records refer to patient condition diagnosis information and treatment information recorded in a computer data manner. Compared with the traditional paper medical record, the electronic medical record is more convenient to manage and share. Due to the sensitivity of medical information, electronic medical records, such as tampered or leaked medical records, can have serious influence on patients; in addition, the electronic medical record has great research value, and medical big data analysis based on the electronic medical record is a current hot research direction. Therefore, safe storage, convenient management and reliable sharing of electronic medical records are one of the bases of intelligent medical treatment. However, the current electronic medical record has poor storage safety on one hand, is generally insufficient in privacy protection for patients, and has leakage risk; on the other hand, the existing sharing methods of electronic medical records are centered on a single medical institution, and have information barriers and difficult data sharing. Therefore, there is a need for a distributed sharing method of electronic medical records, which on one hand needs to ensure the storage security of the electronic medical record data, and enhance the privacy protection of patients, and on the other hand needs to enhance the sharing property of the electronic medical record data.
Disclosure of Invention
The invention aims to provide a block chain-based electronic medical record distributed sharing method and device, so as to solve the problems. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present application provides a blockchain-based electronic medical record distributed sharing method, the method including:
acquiring electronic medical record data, operation information and medical record index information corresponding to each node;
judging the electronic medical record data corresponding to each node through a preset intelligent contract model, and obtaining an original medical record data set when the electronic medical record data meets preset judging requirements;
classifying and calculating the original medical record data set to obtain an original medical record abstract and a desensitization data set, wherein the desensitization data set comprises a desensitization medical record file and a desensitization medical record abstract;
extracting description information from the electronic medical record data to obtain a medical record description data set;
storing the desensitized medical record file and the medical record description data set to obtain file storage information, and returning an index address of the file storage information;
and (3) the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract are uplink, and after the uplink is successful, a corresponding newly added block hash value is returned, and the block hash value is stored into a local disk array according to the medical record index information.
In a second aspect, the present application further provides a blockchain-based electronic medical record distributed sharing device, where the device includes:
the acquisition module is used for acquiring the electronic medical record data, the operation information and the medical record index information corresponding to each node;
the first processing module is used for judging the electronic medical record data corresponding to each node through a preset intelligent contract model, and obtaining an original medical record data set when the electronic medical record data meets preset judging requirements;
the second processing module is used for carrying out classification calculation on the original medical record data set to obtain an original medical record abstract and a desensitization data set, wherein the desensitization data set comprises a desensitization medical record file and a desensitization medical record abstract;
the third processing module is used for extracting description information from the electronic medical record data to obtain a medical record description data set;
the fourth processing module is used for storing the desensitized medical record file and the medical record description data set to obtain file storage information and returning an index address of the file storage information;
and a fifth processing module, configured to perform uplink on the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract, return a corresponding newly added block hash value after the uplink is successful, and store the corresponding newly added block hash value into a local disk array according to the medical record index information.
The beneficial effects of the invention are as follows:
the invention provides a block chain-based electronic medical record distributed sharing method, which is characterized in that a secure hash algorithm is applied to extract abstract information in an original medical record data set and store the abstract information in a block chain, so that the risk of tampering of the original medical record data is avoided, and the safety and transparency of the data are ensured; the method comprises the steps of generating a desensitization data set from an original medical record data set by using a desensitization algorithm, and storing a desensitization medical record file in the desensitization data set and a medical record description data set corresponding to electronic medical record data to obtain file storage information, wherein the method stores the medical record description data set in an original library, stores the desensitization medical record file in a desensitization library, the desensitization library is synchronous at all nodes, and the original library only stores generation nodes; finally, in the method, the sharing center is formed by sharing nodes accessed to the Internet, and the synchronization and tamper resistance functions are realized among the sharing nodes through the block chain, so that the sharing property of the electronic medical record data is improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a block chain-based electronic medical record distributed sharing method according to an embodiment of the invention;
FIG. 2 is a block header and block body structure according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating an embodiment of an access to an Internet blockchain by each sharing node;
FIG. 4 is a schematic diagram of a block chain-based electronic medical record distributed sharing device according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a block chain-based electronic medical record distributed sharing device according to an embodiment of the present invention;
the marks in the figure:
1. an acquisition module; 2. a first processing module; 3. a second processing module; 4. a third processing module; 5. a fourth processing module; 6. a fifth processing module; 800. electronic medical record distributed sharing equipment based on block chain; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the embodiment provides a block chain-based electronic medical record distributed sharing method.
Referring to fig. 1, the method is shown to include steps S1 to S6, including:
s1, acquiring electronic medical record data, operation information and medical record index information corresponding to each node;
in step S1, the obtaining of the electronic medical record data may be: and acquiring according to the data content pushed by the HIS system or the EMRS system of the belonging hospital. The electronic medical record data comprises basic information, diagnosis information, hospitalization information and related image data of a patient.
The operation information includes an operation identifier, an operation type, and ID information of an operation initiator node. The operation identifier is a series of numerical sequences with fixed length and fixed content, and represents medical record processing information recorded by the current system. The operation types comprise adding, deleting, updating and the like. The distributed sharing system is composed of a plurality of sharing nodes, and each node is distinguished by ID information which is different from each other so as to define different operation originators. In this application, the operation identifier may occupy 14 bits, the operation type may occupy 2 bits, and the ID information of the operation initiator node may occupy 20 bits.
The medical record index information is a numerical sequence with fixed length, and the corresponding desensitized medical record file can be downloaded from any node in the distributed sharing system according to the medical record index information in the later period, or the corresponding electronic medical record data can be downloaded from the node generating the medical record after passing identity authentication. The medical record index information in the method comprises a node ID and a file serial number, wherein the node ID
The corresponding node is the medical record generator, the file sequence number is also given by the node, and the file sequence number can be contracted to be an increasing sequence starting from 0. The index length of the method is set to 220, wherein the node ID occupies 20 bits, and the file sequence number occupies 200 bits.
S2, judging the electronic medical record data corresponding to each node through a preset intelligent contract model, and obtaining an original medical record data set when the electronic medical record data meet preset judging requirements;
step S2 includes step S21 and step S23, and specifically includes:
s21, carrying out primary matching on the electronic medical record data corresponding to each node to obtain primary matching data, wherein the primary matching data is used for carrying out integrity check on the electronic medical record data;
in step S21, since the electronic medical record data includes basic information, diagnosis information, hospitalization information, and related image data of the patient, the character recognition algorithm and the image recognition algorithm are adopted for the primary matching, and the primary matching data includes character matching data and image matching data. In the method, the text recognition algorithm adopts a semantic similarity model, and the image recognition algorithm adopts a visual target detection algorithm.
The method specifically comprises the following steps: when the text records of the basic information, the diagnosis information and the hospitalization information of the patient are matched according to the semantic similarity model, the primary matching data comprise text matching data, the electronic medical record data comprise the text records of the basic information, the diagnosis information and the hospitalization information of the patient, and the step S21 comprises the steps S211 to S213:
s211, constructing the basic information of the patient, the diagnosis information and the character record of the hospitalization information as input data;
s212, inputting the input data into a preset semantic similarity model, calculating the semantic similarity model according to the input data, and outputting a similarity result;
in step S212, the semantic similarity model is:
;
in the above-mentioned method, the step of,representing a phaseSimilarity results (I/O)>Vector corresponding to input data, < >>Representing vectors corresponding to a preset standard database, < ->Vector modulo length representing input data, +.>And representing the vector modular length corresponding to the preset standard database.
And S213, obtaining text matching data when the similarity result is larger than a preset text data threshold value.
In step S213, the preset text data threshold is a target value set when the text records of the patient' S basic information, the diagnosis information, and the hospitalization information all have data.
Aiming at related image data in the electronic medical record data: inputting the related image data in the electronic medical record data into a visual target detection algorithm, outputting an identification result by the visual target detection algorithm, and if the identification result contains identification tags of all the image data, indicating that the current related image data is complete; if part of the labels are missing in the identification result, the fact that the current related image data is incomplete is indicated. When the related image data is complete, the related image data is stored as image matching data.
When the system receives the text matching data and the image matching data, the system indicates that the electronic medical record data is complete in integrity check. When the system lacks text matching data and image matching data, the electronic medical record data is indicated to be incomplete, and the electronic medical record data is needed to be discarded.
S22, performing secondary matching on the electronic medical record data corresponding to each node through a preset intelligent contract model to obtain secondary matching data, wherein the secondary matching data is data matched and output by a contract coding protocol in the intelligent contract model;
in step S22, after the electronic medical record data is matched once, performing secondary matching on the electronic medical record data corresponding to each node through a preset intelligent contract model, where the preset intelligent contract model stores contracts, and the contracts include a contract coding protocol to determine whether the electronic medical record data input by the hospital HIS/EMRS system is qualified or not and whether the processing result of the electronic medical record numbers can be linked or not.
S23, when the secondary matching data meet preset judging requirements, an original medical record data set is obtained;
in step S23, steps S231 to S233 are included, specifically:
s231, extracting the secondary matching data through a preset secure hash algorithm to obtain an original medical record abstract;
the preset secure hash algorithm takes shorter information as a unique mark of an original file, the mark is related to each byte of the file, the secure hash algorithm adopted in the step is an SHA256 algorithm, each secondary matching data extracts a 256-bit hash value, and the integrity of medical record data can be ensured by extracting the secondary matching data based on the tamper-proof characteristic of a blockchain.
S232, calling the intelligent contract model to the original medical record abstract to compare the original medical record storage abstract corresponding to each block of the blockchain;
and S233, when the original medical record abstract is inconsistent with the original medical record storage abstract corresponding to all the zone blocks, the electronic medical record data is reserved as the original medical record data.
In step S233, when the original medical record summary is inconsistent with the original medical record storage summaries corresponding to all the zone blocks, it indicates that the current electronic medical record data does not have the repeated uplink condition.
S3, classifying and calculating the original medical record data set to obtain an original medical record abstract and a desensitization data set, wherein the desensitization data set comprises a desensitization medical record file and a desensitization medical record abstract;
in the method, for clearly classifying the specific contents, step S3 includes steps S31 to S32, specifically includes:
s31, performing abstract calculation on the original medical record data set to obtain an original medical record abstract;
the summary calculation in this step is the same as the algorithm in step S231, that is, the secure hash algorithm is used for the original medical record dataset to obtain the original medical record summary, which is the SHA256 algorithm.
And S32, performing desensitization calculation on the original medical record data set to obtain a desensitization data set, wherein the desensitization data set comprises a desensitization medical record file and a desensitization medical record abstract.
In step S32, an existing desensitization algorithm is adopted when performing desensitization calculation, so as to process privacy and sensitive information in the original medical record data set, and generate a desensitized medical record file, wherein the privacy and sensitive information includes name, identification card number, telephone number, home address and the like; after the desensitized medical record file is obtained, a security hash algorithm is adopted for the desensitized medical record file to obtain a desensitized medical record digest, wherein the security hash algorithm is SHA256 algorithm.
The desensitization data set not only maintains useful information for patient treatment, but also prevents leakage of private information of patients.
S4, extracting description information from the electronic medical record data to obtain a medical record description data set;
in step S4, keyword extraction is performed on the disease type, the medical institution and the acquisition time in the electronic medical record data, so as to obtain a medical record description data set.
S5, storing the desensitized medical record file and the medical record description data set to obtain file storage information, and returning an index address of the file storage information;
in step S5, the file storage information includes an original library and a desensitized library, and the method stores the medical record description data set in the original library, stores the desensitized medical record file in the desensitized library, and returns index addresses of the respective storage information.
Wherein: the original library is used for realizing high-speed access and redundancy protection of the original electronic medical record data, and only the original electronic medical record data generated by the current node is stored in the original library. The desensitization library is used for realizing high-speed access and redundancy protection of the desensitization medical record file, and the desensitization library stores the desensitization medical record file generated by all nodes of the current network.
In addition, the file storage information also provides access list information of all the electronic medical record data so as to provide download service of the electronic medical record data for legal users.
And S6, the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract are uplink, and after the uplink is successful, a corresponding newly added block hash value is returned, and the block hash value is stored into a local disk array according to the medical record index information.
In order to clearly link the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract, step S6 includes steps S611 to S614, specifically includes:
s611, packaging the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract to obtain medical record information to be uploaded;
s612, verifying the operation information and the medical record index information in the medical record information to be uplink;
in step S612, identifier verification is performed on the operation information to verify whether the operation information accords with a preset rule;
and carrying out consistency verification on the node ID value and the current node value on the medical record index information.
S613, when the operation information and the medical record index information meet preset verification conditions, the medical record information to be uplink is uplink, signature, verification signature, block packing and block broadcasting are sequentially carried out in the uplink process, and the signature is used for packing the medical record information to be uplink in the block to form a distributed digital account book;
in step S613, the preset verification conditions are: and when the identifier in the operation information meets a preset stipulation rule and the node ID value of the medical record index information is consistent with the current node value, the medical record information to be uploaded is uploaded.
As shown in FIG. 2, each block of the blockchain is composed of a block header and a block body, the block header contains a hash value connected with the previous block, and the block body is used for storing related information.
In the process of signing, verifying signature, packaging blocks and broadcasting blocks in sequence, wherein in the process of signing, firstly, medical record information to be uplinked is subjected to cryptographic signature to obtain signature processing information, and then the signature processing information is packaged in the blocks to form a distributed digital account book; after the signature verification is completed, the signature processing information is recorded in the next block to be in the block chain, and finally the selected block to be in the chain is selected as a new block to be in the chain through verification and consensus algorithm selection.
S614, after the medical record information to be uplink is successfully uplink, returning a corresponding newly added block hash value, and storing the corresponding newly added block hash value into a local disk array according to the medical record index information.
As shown in fig. 3, the distributed sharing method is composed of a plurality of sharing nodes, each sharing node is connected to the internet, and synchronization and tamper resistance of electronic medical record data are realized through a blockchain. In order to bring the research value of the electronic medical record data into full play and reduce the leakage risk of the private information,
when a new block is added in the blockchain, each node synchronously updates the local desensitization library in the file storage information, and the step S6 further comprises the steps S621 to S624, specifically comprising:
s621, obtaining a block numerical sequence corresponding to the new block;
s622, comparing the block numerical sequence corresponding to the new block with a preset identifier;
in step S622, it may be emphasized whether the initial portion of the block number sequence is consistent with the preset identifier. In this step, the preset identifier occupies 14 bits, and it is required to compare whether the first 14 bits are completely identical.
S623, when the block numerical sequence corresponding to the new block is consistent with the preset identifier, analyzing the block numerical sequence corresponding to the new block according to a preset analysis model to obtain analysis information, wherein the analysis information comprises analysis operation information, analysis medical record index information, analysis original medical record abstract and analysis desensitized medical record abstract;
in step S623, the preset analysis model is created after analyzing the block numerical sequence according to the encoding rule for the intelligent contract model of each node.
S624, carrying out consistency judgment on the analyzed operation information and the operation initiating node ID.
In step S624, the consistency determination is performed on the parsed operation information and the operation initiation node ID, and when the ID in the parsed operation information is inconsistent with the operation initiation node ID, the local desensitization library is updated synchronously, which includes steps S6241 to S6244, specifically including:
s6241, downloading the desensitized file from the corresponding ID node according to the analyzed operation information;
s6242, performing desensitization abstract calculation according to the desensitization file to obtain desensitization abstract information;
when the desensitization digest calculation is performed in step S6242, the same algorithm as that in step S231 is adopted, that is, the security hash algorithm is SHA256 algorithm for the desensitized file, so as to obtain the desensitization digest information.
S6243, comparing the desensitization abstract information with the desensitization medical record abstract stored in the blockchain;
and S6244, when the desensitization summary information is consistent with the desensitization medical record summary stored in the blockchain, storing the desensitization file into a local desensitization library, and setting the same index address.
For delete operations: and the current operation initiating node ID sets the corresponding electronic medical record data into an invalid state according to the analyzed medical record index information, and deletes the corresponding desensitized medical record file from the desensitization library.
In the method, a user accesses any node through a Web browser or special software, searches the required electronic medical record data, and downloads the corresponding medical record file. For medical research application scenes, a user can access and download all desensitized medical record files through any node; for application scenes such as multiparty consultation or cross-hospital consultation, after passing through the identity verification of the medical record generating node, the user can download the original electronic medical record data from the generating node.
Example 2:
as shown in fig. 4, the present embodiment provides a blockchain-based electronic medical record distributed sharing device, which includes:
the acquisition module 1 is used for acquiring electronic medical record data, operation information and medical record index information corresponding to each node;
the first processing module 2 is configured to determine electronic medical record data corresponding to each node through a preset intelligent contract model, and obtain an original medical record data set when the electronic medical record data meets a preset determination requirement;
the second processing module 3 is used for performing classification calculation on the original medical record data set to obtain an original medical record abstract and a desensitization data set, wherein the desensitization data set comprises a desensitization medical record file and a desensitization medical record abstract;
the third processing module 4 is used for extracting description information from the electronic medical record data to obtain a medical record description data set;
a fourth processing module 5, configured to store the desensitized medical record file and the medical record description data set, obtain file storage information, and return an index address of the file storage information;
and a fifth processing module 6, configured to perform uplink on the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract, return a corresponding newly added block hash value after the uplink is successful, and store the corresponding newly added block hash value into a local disk array according to the medical record index information.
In one disclosed implementation of the invention, the first processing module 2 comprises:
the first matching unit is used for carrying out primary matching on the electronic medical record data corresponding to each node to obtain primary matching data, and the primary matching data is used for carrying out integrity check on the electronic medical record data;
the second matching unit is used for carrying out secondary matching on the electronic medical record data corresponding to each node through a preset intelligent contract model to obtain secondary matching data, wherein the secondary matching data is data matched and output by a contract coding protocol in the intelligent contract model;
the judging unit is used for obtaining an original medical record data set when the secondary matching data meets a preset judging requirement;
in one disclosed embodiment of the present invention, the determining unit includes:
the extraction unit is used for extracting the data of the secondary matching data through a preset safe hash algorithm to obtain an original medical record abstract;
the comparison unit is used for calling the intelligent contract model to the original medical record abstract to compare the original medical record storage abstract corresponding to each block of the blockchain;
and the retaining unit is used for retaining the electronic medical record data into the original medical record data when the original medical record abstract is inconsistent with the original medical record storage abstract corresponding to all the zone blocks.
In one disclosed embodiment of the invention, the second processing module 3 comprises:
the first computing unit is used for performing summary computation on the original medical record data set to obtain an original medical record summary;
the second calculation unit is used for performing desensitization calculation on the original medical record data set to obtain a desensitization data set, wherein the desensitization data set comprises a desensitization medical record file and a desensitization medical record abstract.
In one disclosed embodiment of the invention, the fifth processing module 6 comprises a chaining module, the chaining module comprising:
the first processing unit is used for packaging the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract to obtain medical record information to be uploaded;
the second processing unit is used for verifying the operation information and the medical record index information in the medical record information to be uplink;
the third processing unit is used for carrying out uplink on the medical record information to be uplink when the operation information and the medical record index information meet preset verification conditions, and carrying out signature, verification signature, block packing and block broadcasting in sequence in the uplink process, wherein the signature is used for packaging the medical record information to be uplink in the block to form a distributed digital account book;
and the fourth processing unit is used for returning a corresponding newly added block hash value after the medical record information to be uplink is successfully uplink, and storing the corresponding newly added block hash value into a local disk array according to the medical record index information.
In one embodiment of the present invention, the fifth processing module 6 further includes a synchronization module, where each node performs a synchronization update on a local desensitization library in the file storage information when a new block is added in a blockchain, and the synchronization module includes:
the acquisition unit is used for acquiring a block numerical sequence corresponding to the new block;
a fifth processing unit, configured to compare the block numerical sequence corresponding to the new block with a preset identifier;
the sixth processing unit is configured to parse the block numerical sequence corresponding to the new block according to a preset parsing model when the block numerical sequence corresponding to the new block is consistent with a preset identifier, so as to obtain parsing information, where the parsing information includes parsed operation information, parsed medical record index information, parsed original medical record abstract and parsed desensitized medical record abstract;
and the seventh processing unit is used for judging the consistency of the analyzed operation information and the operation initiating node ID.
In one implementation method disclosed in the present invention, consistency judgment is performed on the parsed operation information and the operation initiation node ID, and when the ID in the parsed operation information is inconsistent with the operation initiation node ID, the local desensitization library is updated synchronously, and the seventh processing unit includes:
the first sub-processing unit is used for downloading the desensitized file from the corresponding ID node according to the analyzed operation information;
the second sub-processing unit is used for carrying out desensitization abstract calculation according to the desensitization file to obtain desensitization abstract information;
the third sub-processing unit is used for comparing the desensitization abstract information with the desensitization medical record abstract stored in the blockchain;
and the fourth sub-processing unit is used for storing the desensitization file into a local desensitization library and setting the same index address when the desensitization summary information is consistent with the desensitization medical record summary stored in the blockchain.
Example 3:
corresponding to the above method embodiment, a blockchain-based electronic medical record distributed sharing device is further provided in this embodiment, and a blockchain-based electronic medical record distributed sharing device described below and a blockchain-based electronic medical record distributed sharing method described above may be referred to correspondingly with each other.
Fig. 5 is a block diagram of a blockchain-based electronic medical record distributed sharing device 800, according to an exemplary embodiment. As shown in fig. 5, the blockchain-based electronic medical record distributed sharing device 800 may include: a processor 801, a memory 802. The blockchain-based electronic medical record distributed sharing device 800 can also include one or more of a multimedia component 803, an i/O interface 804, and a communication component 805.
The processor 801 is configured to control overall operation of the blockchain-based electronic medical record distributed sharing device 800 to complete all or part of the steps in the blockchain-based electronic medical record distributed sharing method described above. The memory 802 is used to store various types of data to support operation on the blockchain-based electronic medical record distributed sharing device 800, which may include, for example, instructions for any application or method operating on the blockchain-based electronic medical record distributed sharing device 800, as well as application-related data, such as contact data, messages, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted through the communication component 805. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is configured to perform wired or wireless communication between the blockchain-based electronic medical record distributed sharing device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near Field Communication, NFC for short), 2G, 3G or 4G, or a combination of one or more thereof, the respective communication component 805 may thus comprise: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the blockchain-based electronic medical record distributed sharing device 800 can be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), digital signal processors (Digital Signal Processor, DSP for short), digital signal processing devices (Digital Signal Processing Device, DSPD for short), programmable logic devices (Programmable Logic Device, PLD for short), field programmable gate arrays (Field Programmable Gate Array, FPGA for short), controllers, microcontrollers, microprocessors, or other electronic components for performing the blockchain-based electronic medical record distributed sharing method described above.
In another exemplary embodiment, a computer readable storage medium is also provided that includes program instructions that when executed by a processor implement the steps of the blockchain-based electronic medical record distributed sharing method described above. For example, the computer readable storage medium can be the memory 802 described above that includes program instructions executable by the processor 801 of the blockchain-based electronic medical record distributed sharing device 800 to perform the blockchain-based electronic medical record distributed sharing method described above.
Example 4:
corresponding to the above method embodiment, a readable storage medium is further provided in this embodiment, and a readable storage medium described below and a blockchain-based electronic medical record distributed sharing method described above may be referred to correspondingly.
A readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the blockchain-based electronic medical record distributed sharing method of the above method embodiment.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, and the like.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (10)
1. The block chain-based electronic medical record distributed sharing method is characterized by comprising the following steps of:
acquiring electronic medical record data, operation information and medical record index information corresponding to each node;
judging the electronic medical record data corresponding to each node through a preset intelligent contract model, and obtaining an original medical record data set when the electronic medical record data meets preset judging requirements;
classifying and calculating the original medical record data set to obtain an original medical record abstract and a desensitization data set, wherein the desensitization data set comprises a desensitization medical record file and a desensitization medical record abstract;
extracting description information from the electronic medical record data to obtain a medical record description data set;
storing the desensitized medical record file and the medical record description data set to obtain file storage information, and returning an index address of the file storage information;
and (3) the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract are uplink, and after the uplink is successful, a corresponding newly added block hash value is returned, and the block hash value is stored into a local disk array according to the medical record index information.
2. The blockchain-based electronic medical record distributed sharing method of claim 1, wherein determining the electronic medical record data corresponding to each node through a preset intelligent contract model, and obtaining an original medical record data set when the electronic medical record data meets a preset determination requirement comprises:
performing primary matching on the electronic medical record data corresponding to each node to obtain primary matching data, wherein the primary matching data is used for performing integrity check on the electronic medical record data;
performing secondary matching on the electronic medical record data corresponding to each node through a preset intelligent contract model to obtain secondary matching data, wherein the secondary matching data is data matched and output by a contract coding protocol in the intelligent contract model;
and when the secondary matching data meets the preset judging requirement, obtaining an original medical record data set.
3. The blockchain-based electronic medical record distributed sharing method according to claim 2, wherein the electronic medical record data corresponding to each node is matched once to obtain primary matching data, the primary matching data comprises text matching data, the electronic medical record data comprises text records of basic information, diagnosis information and hospitalization information of a patient, and the method comprises the following steps:
constructing a literal record of the basic information of the patient, the diagnosis information and the hospitalization information as input data;
inputting the input data into a preset semantic similarity model, calculating the semantic similarity model according to the input data, and outputting a similarity result;
and when the similarity result is larger than a preset text data threshold value, obtaining text matching data.
4. The blockchain-based electronic medical record distributed sharing method of claim 3, wherein the input data is input into a preset semantic similarity model, wherein the semantic similarity model is:
；
in the above-mentioned method, the step of,representing similarity results, ++>Vector corresponding to input data, < >>Representing vectors corresponding to a preset standard database, < ->Vector modulo length representing input data, +.>And representing the vector modular length corresponding to the preset standard database.
5. The blockchain-based electronic medical record distributed sharing method according to claim 2, wherein when the secondary matching data meets a preset determination requirement, obtaining an original medical record data set includes:
carrying out data extraction on the secondary matching data through a preset secure hash algorithm to obtain an original medical record abstract;
calling the intelligent contract model to the original medical record abstract to compare the original medical record storage abstract corresponding to each block of the blockchain;
when the original medical record abstract is inconsistent with the original medical record storage abstract corresponding to all the zone blocks, the electronic medical record data is reserved as the original medical record data.
6. The blockchain-based electronic medical record distributed sharing method of claim 1, wherein the step of uploading the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract, and returning a corresponding newly added blockhash value after successful uploading, and storing the blockchain hash value in a local disk array according to the medical record index information comprises the steps of:
packaging the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract to obtain medical record information to be uploaded;
verifying the operation information and the medical record index information in the medical record information to be uplink;
when the operation information and the medical record index information meet preset verification conditions, the medical record information to be uplinked is uplinked, signature, verification signature, block packing and block broadcasting are sequentially carried out in the uplink process, and the signature is used for packaging the medical record information to be uplinked in the block to form a distributed digital account book;
and returning a corresponding newly added block hash value after the medical record information to be uplink is successfully uplink, and storing the corresponding newly added block hash value into a local disk array according to the medical record index information.
7. The blockchain-based electronic medical record distributed sharing method of claim 6, wherein each node synchronously updates a local desensitization library in the file storage information when a new block is added in a blockchain, comprising:
obtaining a block numerical sequence corresponding to the new block;
comparing the block numerical sequence corresponding to the new block with a preset identifier;
when the block numerical sequence corresponding to the new block is consistent with a preset identifier, analyzing the block numerical sequence corresponding to the new block according to a preset analysis model to obtain analysis information, wherein the analysis information comprises analysis operation information, analysis medical record index information, analysis original medical record abstract and analysis desensitized medical record abstract;
and carrying out consistency judgment on the analyzed operation information and the operation initiating node ID.
8. The blockchain-based electronic medical record distributed sharing method of claim 7, wherein the step of performing consistency judgment on the parsed operation information and the operation initiation node ID, and performing synchronous update on the local desensitization library when the ID in the parsed operation information is inconsistent with the operation initiation node ID, comprises:
downloading the desensitized file from the corresponding ID node according to the analyzed operation information;
performing desensitization abstract calculation according to the desensitization file to obtain desensitization abstract information;
comparing the desensitization abstract information with the desensitization medical record abstract stored in the blockchain;
when the desensitization abstract information is consistent with the desensitization medical record abstract stored in the blockchain, storing the desensitization file into a local desensitization library, and setting the same index address.
9. The utility model provides a distributed sharing device of electronic medical record based on blockchain which characterized in that includes:
the acquisition module is used for acquiring the electronic medical record data, the operation information and the medical record index information corresponding to each node;
the first processing module is used for judging the electronic medical record data corresponding to each node through a preset intelligent contract model, and obtaining an original medical record data set when the electronic medical record data meets preset judging requirements;
the second processing module is used for carrying out classification calculation on the original medical record data set to obtain an original medical record abstract and a desensitization data set, wherein the desensitization data set comprises a desensitization medical record file and a desensitization medical record abstract;
the third processing module is used for extracting description information from the electronic medical record data to obtain a medical record description data set;
the fourth processing module is used for storing the desensitized medical record file and the medical record description data set to obtain file storage information and returning an index address of the file storage information;
and a fifth processing module, configured to perform uplink on the operation information, the medical record index information, the original medical record abstract and the desensitized medical record abstract, return a corresponding newly added block hash value after the uplink is successful, and store the corresponding newly added block hash value into a local disk array according to the medical record index information.
10. The blockchain-based electronic medical record distributed sharing device of claim 9, wherein the first processing module includes:
the first matching unit is used for carrying out primary matching on the electronic medical record data corresponding to each node to obtain primary matching data, and the primary matching data is used for carrying out integrity check on the electronic medical record data;
the second matching unit is used for carrying out secondary matching on the electronic medical record data corresponding to each node through a preset intelligent contract model to obtain secondary matching data, wherein the secondary matching data is data matched and output by a contract coding protocol in the intelligent contract model;
and the judging unit is used for obtaining an original medical record data set when the secondary matching data meets the preset judging requirement.
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