CN115794958B - Medical data sharing method, device and system based on blockchain - Google Patents

Medical data sharing method, device and system based on blockchain Download PDF

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CN115794958B
CN115794958B CN202310042582.9A CN202310042582A CN115794958B CN 115794958 B CN115794958 B CN 115794958B CN 202310042582 A CN202310042582 A CN 202310042582A CN 115794958 B CN115794958 B CN 115794958B
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information
verification
storage node
storage nodes
acquiring
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CN115794958A (en
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黎永东
汤艺超
陶春花
周荣娴
冯业伟
曹炳健
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Guangdong Southern Planning & Designing Institute Of Telecom Consultation Co ltd
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Guangdong Southern Planning & Designing Institute Of Telecom Consultation Co ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract

The invention relates to the technical field of computers, in particular to a medical data sharing method, device and system based on a blockchain, wherein the method comprises the following steps: acquiring identity information of a patient; matching a plurality of storage nodes according to the identity information of the patient; acquiring diagnosis information, and determining a target data table according to the diagnosis information; screening the determined storage nodes according to the target data table, wherein each storage node obtained by screening contains at least one item label data in the target data table; acquiring authentication information corresponding to the target data table and verifying the authentication information once; if the authentication information passes the primary verification, sending the authentication information to the screened storage nodes for secondary verification, and obtaining data returned by the storage nodes passing the secondary verification; and obtaining a query result from the returned data. The method provided by the invention is based on the blockchain technology, realizes the sharing of medical data, and can prevent the abuse of data.

Description

Medical data sharing method, device and system based on blockchain
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a medical data sharing method, device and system based on blockchain.
Background
At present, the data of all medical institutions are mutually independent, and data sharing cannot be realized. The data security is considered on the one hand, and the data mutual recognition is not achieved among the medical institutions on the other hand, the data mutual recognition is considered on the other hand, and the data mutual recognition is considered on the other hand.
Blockchain is a technology for realizing safe storage and management of data by using distributed deployed nodes, and can solve the technical problems when applied to medical data sharing, but new problems exist in application, wherein the problems are mainly the data authority. Medical data is generally divided into a patient portion and a medical facility portion according to the point of interest, and the two portions have overlapping contents and also have different contents. For a patient, the data rights they possess should be consistent regardless of the medical institution they are in, but different for medical institutions, the data rights for each medical institution need to be reset to prevent data abuse.
How to acquire data of a patient and how to control which data is acquired by a medical institution is a problem to be solved.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a blockchain-based medical data sharing method, device and system.
The embodiment of the invention is realized in such a way that the medical data sharing method based on the blockchain comprises the following steps:
acquiring identity information of a patient;
matching a plurality of storage nodes according to the identity information of the patient;
acquiring diagnosis information, and determining a target data table according to the diagnosis information;
screening the determined storage nodes according to the target data table, wherein each storage node obtained by screening contains at least one item label data in the target data table;
acquiring authentication information corresponding to the target data table and verifying the authentication information once;
if the authentication information passes the primary verification, sending the authentication information to the screened storage nodes for secondary verification, and obtaining data returned by the storage nodes passing the secondary verification;
and obtaining a query result from the returned data.
In one embodiment, the present invention provides a blockchain-based medical data sharing device including:
the identity information acquisition module is used for acquiring the identity information of the patient;
the matching module is used for matching a plurality of storage nodes according to the identity information of the patient;
the diagnosis information acquisition module is used for acquiring diagnosis information and determining a target data table according to the diagnosis information;
the screening module is used for screening the determined storage nodes according to the target data table, and each storage node obtained by screening contains at least one item label data in the target data table;
the primary verification module is used for acquiring authentication information corresponding to the target data table and verifying the authentication information once;
the secondary verification module is used for sending the authentication information to the screened storage nodes for secondary verification if the authentication information passes the primary verification, and acquiring data returned by the storage nodes passing the secondary verification;
and the result generation module is used for obtaining the query result from the returned data.
In one embodiment, the present invention provides a blockchain-based medical data sharing system including:
the system comprises a blockchain network, a database and a database, wherein the blockchain network is composed of at least one verification management node and a plurality of storage nodes, each storage node corresponds to a medical institution and is used for uploading and storing patient diagnosis and treatment information acquired by the corresponding medical institution, and the verification management node is used for executing the blockchain-based medical data sharing method; and
and the mobile terminal is in wireless connection with the blockchain network and is used for acquiring user identity information.
According to the medical data sharing method based on the blockchain, provided by the invention, the storage nodes of the blockchain are matched according to the patient identity information by acquiring the patient identity information, so that the size of the data volume to be processed in the follow-up process can be reduced; the target data is determined by acquiring the diagnosis information, and the storage nodes are screened according to the target data, so that the needed data can be purposefully found out, the acquisition of unnecessary data is prevented, the data safety is ensured, and the abuse of the data is prevented; the security of data acquisition can be improved by performing primary verification and secondary verification through the authentication information. The invention solves the problems of acquisition and safety management of the medical data of the patient in the blockchain environment, and realizes the online sharing of the medical data.
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FIG. 1 is a flow chart of a blockchain-based medical data sharing method provided by an embodiment;
FIG. 2 is a block diagram of a block chain based medical data sharing device provided in one embodiment;
FIG. 3 is a block diagram of a block chain based medical data sharing system provided in one embodiment;
FIG. 4 is a block diagram of the internal architecture of a computer device in one embodiment.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of this disclosure.
As shown in fig. 1, in one embodiment, a medical data sharing method based on a blockchain is provided, which specifically may include the following steps:
step S100, acquiring patient identity information;
step S200, matching a plurality of storage nodes according to the identity information of the patient;
step S300, obtaining diagnosis information, and determining a target data table according to the diagnosis information;
step S400, screening the determined storage nodes according to the target data table, wherein each storage node obtained by screening contains at least one item label data in the target data table;
step S500, obtaining authentication information corresponding to the target data table and verifying the authentication information once;
step S600, if the authentication information passes the primary verification, the authentication information is sent to the screened storage nodes for the secondary verification, and data returned by the storage nodes passing the secondary verification are obtained;
step S700, obtaining a query result from the returned data.
In this embodiment, the identity information of the patient includes, but is not limited to, physical information such as an identification card number and a telephone number, and may also be biological information such as facial features and fingerprint features. The patient can be authenticated using multiple items of identity information. In this embodiment, the patient identity information may be acquired through a mobile terminal, where the mobile terminal may be a device carried by a user, such as a smart phone, or may be a device equipped with a mobile acquisition gun for a physician.
In this embodiment, each storage node is used as a ring in the blockchain network, and diagnosis and treatment data of a medical institution corresponding to the storage node are stored in the storage node; as with a general blockchain network, these data are packed and uplink synchronized, but the read is only allowed to be acquired from the uploaded node (also the storage node), which realizes the security management on the data and has limited use.
In this embodiment, the target data table, that is, the form of the data to be acquired, may be determined according to the diagnosis information of the physician.
In this embodiment, the storage nodes related to the diagnosis information can be screened out by screening the storage nodes, so that the processing amount of data is reduced, and the acquisition of irrelevant data is reduced.
In the present embodiment, by one authentication and two authentications, authentication is performed from the "acquisition" end of data and the providing end of data, respectively, thereby preventing unauthorized use of data.
In this embodiment, according to the data returned by each storage node, a required query result may be obtained. The method for obtaining the query result by the data returned by each storage node comprises the steps of sorting and finishing the query result according to the time sequence generated by each data, sorting and finishing the query result according to the correlation of the returned data, and the like, and obtaining an integral query result by the scattered returned data only relates to the integrated processing process of the data, and the data itself is not essentially changed, and the embodiment of the invention is not particularly limited.
According to the medical data sharing method based on the blockchain, provided by the invention, the storage nodes of the blockchain are matched according to the patient identity information by acquiring the patient identity information, so that the size of the data volume to be processed in the follow-up process can be reduced; the target data is determined by acquiring the diagnosis information, and the storage nodes are screened according to the target data, so that the needed data can be purposefully found out, the acquisition of unnecessary data is prevented, the data safety is ensured, and the abuse of the data is prevented; the security of data acquisition can be improved by performing primary verification and secondary verification through the authentication information. The invention solves the problems of acquisition and safety management of the medical data of the patient in the blockchain environment, and realizes the online sharing of the medical data.
As a preferred embodiment of the present invention, matching a number of storage nodes according to patient identity information comprises:
according to the identity information of the patient, all storage nodes in which the diagnosis and treatment information of the patient is stored are matched in a blockchain network;
filtering the matched storage nodes for one time according to the time interval of the visit record;
and performing secondary filtering on the storage nodes subjected to primary filtering according to the relevance of the diagnosis and treatment information to obtain a plurality of storage nodes.
In this embodiment, the matched storage nodes are filtered once according to the interval time, so that information irrelevant to the current disease in time can be filtered, thereby reducing the processing amount of data; and the storage nodes after the first filtering are further filtered through the secondary filtering, so that the diseases stored by the storage nodes which are not related or have lower relevance with the current diseases can be filtered, and the data processing capacity is further reduced.
As a preferred embodiment of the present invention, the filtering the matched storage nodes once according to the time interval of the visit record includes:
acquiring the interval time of the previous several visit records;
calculating the average value of the latest previous i interval times according to the reverse direction of the treatment time, and comparing the calculated deviation of the previous average value and the next average value, wherein i is a positive integer, i increases one by one from 2 to n, and n is the historical treatment times of the patient;
if the obtained deviation is larger than the set deviation threshold, selecting a corresponding storage node of the previous visit record corresponding to the newly added interval time, and performing secondary filtering in the selected storage node.
In this embodiment, the previous several treatment records may be selected by the interval time between two adjacent treatments, and according to the current diagnosis information of the patient, for non-chronic diseases, the unit of month may be taken, usually within 3-6 months; for chronic diseases, the unit of year can be selected, usually 3-5 years, and the history of the treatment beyond the time is not included in the examination and filtration range.
In this embodiment, the previous several times of diagnosis records refer to several times of diagnosis records closest to the current time; according to the reverse direction of the visit time, namely along the reverse direction of the time axis; the deviation of the previous average value from the next average value is equal to the ratio of the absolute value of the difference between the previous average value and the next average value to the previous average value. The former here refers to the smaller one of i (e.g. when i=k, k being a specific positive integer), and the latter refers to the larger one of i (e.g. when i=k+1).
In the present embodiment, the deviation threshold here may be set to 20%. The newly added interval time, i.e. the interval time between the kth+1th visit record and the kth visit record, in the reverse time direction; the previous visit record corresponding to the interval time, namely the k+1st visit record, namely the storage node corresponding to the latest k visit records is selected, wherein the storage node corresponding to the k visit records is the storage node storing the selected visit records.
As an embodiment of the present invention, the performing secondary screening on the storage nodes after primary screening according to the relevance of the diagnosis and treatment information to obtain a plurality of storage nodes includes:
judging whether the symptoms corresponding to the visit records stored by each storage node are preset symptoms or not;
if yes, the storage node is eliminated to obtain a secondary screening storage node.
In this embodiment, the predetermined conditions include, but are not limited to, surgical injuries, diseases of which the cause is known explicitly, etc., which can be customized at the time of system design. By defining these preset conditions, information that need not be repeatedly acquired can be excluded, thereby speeding up the data processing speed and reducing the amount of data returned by the system.
As a preferred embodiment of the present invention, the determining the target data table according to the diagnosis information includes:
determining items to be inspected according to the diagnosis information;
determining associated items from items to be inspected according to a preset relationship;
and summarizing the items to be inspected and the associated items to obtain a target data table.
In this embodiment, it is determined from the diagnostic information which items the disease to be preliminarily judged needs to check, for example, gastritis is suspected, whether or not an inflammatory reaction exists needs to be checked by an assay, and if necessary, air blow detection, gastroscopy, etc. may be performed. In this example, the test is an item to be inspected that can be determined directly from the diagnostic information, while the air blow detection, gastroscope, etc. are associated items that can be acquired for further investigation if the same or similar detection has been done, thereby facilitating a correct diagnosis.
As a preferred embodiment of the present invention, the screening the determined storage nodes according to the target data table includes:
judging whether diagnosis and treatment information stored in each storage node at least comprises at least one item of target data in the target data table;
and if not, excluding the corresponding storage node, otherwise, reserving the corresponding storage node.
In this embodiment, if any storage node does not include any item label data in the target data table, the data of the storage node is irrelevant to the diagnosis, and the storage node can be ignored.
As a preferred embodiment of the present invention, the acquiring authentication information corresponding to the target data table and verifying the authentication information once includes:
obtaining the organization information in the authentication information, judging whether the organization information comes from an authenticated organization node, and if so, passing the organization verification;
acquiring department information in the authentication information, judging whether the department information belongs to the organization information, and if so, passing the department information verification;
and acquiring doctor information in the authentication information, judging whether the doctor information belongs to the department information, and if so, passing the doctor verification.
In this embodiment, the correspondence between the target data table and the authentication information is determined by the generation of the target data table, and the generation of the target data table is based on the diagnosis of the doctor, so that the doctor of the department of the cabinet has the diagnosis information, and the target data table of the diagnosis information is associated with the corresponding institution, department and doctor.
In this embodiment, the above process occurs on the verification management node, which is responsible for management and overall planning of data interaction between the mechanism and other nodes in the blockchain network, so that data output by the mechanism or input to the mechanism by the blockchain network needs to be managed by the verification management node, and the verification management node is only an access gateway, and does not process the data in opposite directions, so that the independence of the blockchain network is not damaged. In this embodiment, by verifying the authentication information once, the validity and accuracy of data output can be verified, and the capability of the present organization to acquire data is prevented from being used in transition.
As a preferred embodiment of the present invention, the sending the authentication information to the screened storage node for secondary verification includes:
transmitting the mechanism information passing verification to each storage node, and acquiring first verification feedback returned by the storage node;
if the first verification feedback shows that the corresponding storage node passes the mechanism verification, the department information is sent to the storage node passing the mechanism verification, and second verification feedback returned by the storage node is obtained;
if the second verification feedback shows that the corresponding storage node passes the department verification, the doctor information is sent to the storage node passing the department verification, and third verification feedback returned by the storage node is obtained;
and if the third verification feedback shows that the corresponding storage node passes the verification of the doctor, requesting the data of the storage node according to the target data table.
In this embodiment, the above procedure describes a flow of performing secondary verification of data, where the secondary verification is performed on each storage node, and for the verification management node, the overall management of the data is performed. Through the steps, the verification of the data request by the storage node can be realized; the invention adopts the two-way verification mode of the request end and the output end of the data, thereby improving the verification security of the data.
As shown in fig. 2, the embodiment of the present invention further provides a medical data sharing device based on a blockchain, where the medical data sharing device based on a blockchain includes:
the identity information acquisition module is used for acquiring the identity information of the patient;
the matching module is used for matching a plurality of storage nodes according to the identity information of the patient;
the diagnosis information acquisition module is used for acquiring diagnosis information and determining a target data table according to the diagnosis information;
the screening module is used for screening the determined storage nodes according to the target data table, and each storage node obtained by screening contains at least one item label data in the target data table;
the primary verification module is used for acquiring authentication information corresponding to the target data table and verifying the authentication information once;
the secondary verification module is used for sending the authentication information to the screened storage nodes for secondary verification if the authentication information passes the primary verification, and acquiring data returned by the storage nodes passing the secondary verification;
and the result generation module is used for obtaining the query result from the returned data.
In this embodiment, each module is modularized in the method portion provided by the present invention, and for a specific explanation of each module, please refer to the content of the method portion of the present invention, which is not described in detail in this embodiment.
As shown in fig. 3, an embodiment of the present invention further provides a medical data sharing system based on a blockchain, the medical data sharing system based on a blockchain includes:
the system comprises a blockchain network, a database and a database, wherein the blockchain network is composed of at least one verification management node and a plurality of storage nodes, each storage node corresponds to a medical institution and is used for uploading and storing patient diagnosis and treatment information acquired by the corresponding medical institution, and the verification management node is used for executing the blockchain-based medical data sharing method according to the embodiment of the invention; and
and the mobile terminal is in wireless connection with the blockchain network and is used for acquiring user identity information.
In this embodiment, each hospital and diagnosis and treatment institution is connected to the blockchain network, so that each institution becomes one link in the blockchain, and conventional links such as data generation, confirmation, and uplink are executed. On the basis, for data recall, by executing the medical data sharing method based on the blockchain, which is provided by the embodiment of the invention, the storage nodes of the blockchain are matched according to the patient identity information by acquiring the patient identity information, so that the size of the data quantity to be processed in the follow-up process can be reduced; the target data is determined by acquiring the diagnosis information, and the storage nodes are screened according to the target data, so that the needed data can be purposefully found out, the acquisition of unnecessary data is prevented, the data safety is ensured, and the abuse of the data is prevented; the security of data acquisition can be improved by performing primary verification and secondary verification through the authentication information. The invention solves the problems of acquisition and safety management of the medical data of the patient in the blockchain environment, and realizes the online sharing of the medical data.
FIG. 4 illustrates an internal block diagram of a computer device in one embodiment. As shown in fig. 4, the computer device includes a processor, a memory, a network interface, an input device, and a display screen connected by a system bus. The memory includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system, and may also store a computer program, where the computer program when executed by a processor may cause the processor to implement the blockchain-based medical data sharing method provided by the embodiment of the present invention. The internal memory may also store a computer program that, when executed by the processor, causes the processor to perform the blockchain-based medical data sharing method provided by the embodiment of the invention. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 4 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, the blockchain-based medical data sharing apparatus provided by the embodiments of the present invention may be implemented in the form of a computer program that is executable on a computer device as shown in fig. 4. The memory of the computer device may store various program modules constituting the blockchain-based medical data sharing device, such as an identity information acquisition module, a matching module, a diagnostic information acquisition module, a screening module, a primary verification module, a secondary verification module, and a result generation module shown in fig. 3. The computer program of each program module causes the processor to perform the steps in the blockchain-based medical data sharing method of the various embodiments of the invention described in this specification.
For example, the computer apparatus shown in fig. 4 may perform step S100 by the identity information acquiring module in the blockchain-based medical data sharing device as shown in fig. 3; the computer equipment can execute the step S200 through the matching module; the computer device may execute step S300 through the diagnostic information acquisition module; the computer device may execute step S400 through the screening module; the computer device may execute step S500 through the primary authentication module; the computer equipment can execute the step S600 through the secondary verification module; the computer device may perform step S700 through the result generation module.
In one embodiment, a computer device is presented, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring identity information of a patient;
matching a plurality of storage nodes according to the identity information of the patient;
acquiring diagnosis information, and determining a target data table according to the diagnosis information;
screening the determined storage nodes according to the target data table, wherein each storage node obtained by screening contains at least one item label data in the target data table;
acquiring authentication information corresponding to the target data table and verifying the authentication information once;
if the authentication information passes the primary verification, sending the authentication information to the screened storage nodes for secondary verification, and obtaining data returned by the storage nodes passing the secondary verification;
and obtaining a query result from the returned data.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which when executed by a processor causes the processor to perform the steps of:
acquiring identity information of a patient;
matching a plurality of storage nodes according to the identity information of the patient;
acquiring diagnosis information, and determining a target data table according to the diagnosis information;
screening the determined storage nodes according to the target data table, wherein each storage node obtained by screening contains at least one item label data in the target data table;
acquiring authentication information corresponding to the target data table and verifying the authentication information once;
if the authentication information passes the primary verification, sending the authentication information to the screened storage nodes for secondary verification, and obtaining data returned by the storage nodes passing the secondary verification;
and obtaining a query result from the returned data.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile 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), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.

Claims (5)

1. A blockchain-based medical data sharing method, characterized in that the blockchain-based medical data sharing method comprises:
acquiring identity information of a patient;
matching a plurality of storage nodes according to the identity information of the patient;
acquiring diagnosis information, and determining a target data table according to the diagnosis information;
screening the determined storage nodes according to the target data table, wherein each storage node obtained by screening contains at least one item label data in the target data table;
acquiring authentication information corresponding to the target data table and verifying the authentication information once;
if the authentication information passes the primary verification, sending the authentication information to the screened storage nodes for secondary verification, and obtaining data returned by the storage nodes passing the secondary verification;
obtaining a query result from the returned data;
matching a plurality of storage nodes according to patient identity information, comprising:
according to the identity information of the patient, all storage nodes in which the diagnosis and treatment information of the patient is stored are matched in a blockchain network;
filtering the matched storage nodes for one time according to the time interval of the visit record;
performing secondary filtering on the storage nodes subjected to primary filtering according to the relevance of the diagnosis and treatment information to obtain a plurality of storage nodes;
the filtering the matched storage nodes once according to the time interval of the visit record comprises the following steps:
acquiring the interval time of the previous several visit records;
calculating the average value of the latest previous i interval times according to the reverse direction of the treatment time, and comparing the calculated deviation of the previous average value and the next average value, wherein i is a positive integer, i increases one by one from 2 to n, and n is the historical treatment times of the patient;
if the obtained deviation is larger than the set deviation threshold, selecting a corresponding storage node of the previous visit record corresponding to the newly added interval time, and performing secondary filtering in the selected storage node, wherein the visit time is later than the previous visit record corresponding to the interval time;
performing secondary screening on the storage nodes subjected to primary screening according to the relevance of the diagnosis and treatment information to obtain a plurality of storage nodes, wherein the method comprises the following steps:
judging whether the symptoms corresponding to the visit records stored by each storage node are preset symptoms or not;
if yes, the storage node is eliminated to obtain a secondary screening storage node;
the obtaining the authentication information corresponding to the target data table and verifying the authentication information once comprises the following steps:
obtaining the organization information in the authentication information, judging whether the organization information comes from an authenticated organization node, and if so, passing the organization verification;
acquiring department information in the authentication information, judging whether the department information belongs to the organization information, and if so, passing the department information verification;
acquiring doctor information in the authentication information, judging whether the doctor information belongs to the department information, and if yes, passing the doctor verification;
the step of sending the authentication information to the screened storage nodes for secondary verification comprises the following steps:
transmitting the mechanism information passing verification to each storage node, and acquiring first verification feedback returned by the storage node;
if the first verification feedback shows that the corresponding storage node passes the mechanism verification, the department information is sent to the storage node passing the mechanism verification, and second verification feedback returned by the storage node is obtained;
if the second verification feedback shows that the corresponding storage node passes the department verification, the doctor information is sent to the storage node passing the department verification, and third verification feedback returned by the storage node is obtained;
and if the third verification feedback shows that the corresponding storage node passes the verification of the doctor, requesting the data of the storage node according to the target data table.
2. The blockchain-based medical data sharing method of claim 1, wherein the determining a target data table from the diagnostic information includes:
determining items to be inspected according to the diagnosis information;
determining associated items from items to be inspected according to a preset relationship;
and summarizing the items to be inspected and the associated items to obtain a target data table.
3. The blockchain-based medical data sharing method of claim 1, wherein the filtering the determined plurality of storage nodes according to the target data table includes:
judging whether diagnosis and treatment information stored in each storage node at least comprises at least one item of target data in the target data table;
and if not, excluding the corresponding storage node, otherwise, reserving the corresponding storage node.
4. A blockchain-based medical data sharing device, the blockchain-based medical data sharing device comprising:
the identity information acquisition module is used for acquiring the identity information of the patient;
the matching module is used for matching a plurality of storage nodes according to the identity information of the patient;
the diagnosis information acquisition module is used for acquiring diagnosis information and determining a target data table according to the diagnosis information;
the screening module is used for screening the determined storage nodes according to the target data table, and each storage node obtained by screening contains at least one item label data in the target data table;
the primary verification module is used for acquiring authentication information corresponding to the target data table and verifying the authentication information once;
the secondary verification module is used for sending the authentication information to the screened storage nodes for secondary verification if the authentication information passes the primary verification, and acquiring data returned by the storage nodes passing the secondary verification;
the result generation module is used for obtaining a query result from the returned data;
matching a plurality of storage nodes according to patient identity information, comprising:
according to the identity information of the patient, all storage nodes in which the diagnosis and treatment information of the patient is stored are matched in a blockchain network;
filtering the matched storage nodes for one time according to the time interval of the visit record;
performing secondary filtering on the storage nodes subjected to primary filtering according to the relevance of the diagnosis and treatment information to obtain a plurality of storage nodes;
the filtering the matched storage nodes once according to the time interval of the visit record comprises the following steps:
acquiring the interval time of the previous several visit records;
calculating the average value of the latest previous i interval times according to the reverse direction of the treatment time, and comparing the calculated deviation of the previous average value and the next average value, wherein i is a positive integer, i increases one by one from 2 to n, and n is the historical treatment times of the patient;
if the obtained deviation is larger than the set deviation threshold, selecting a corresponding storage node of the previous visit record corresponding to the newly added interval time, and performing secondary filtering in the selected storage node, wherein the visit time is later than the previous visit record corresponding to the interval time;
performing secondary screening on the storage nodes subjected to primary screening according to the relevance of the diagnosis and treatment information to obtain a plurality of storage nodes, wherein the method comprises the following steps:
judging whether the symptoms corresponding to the visit records stored by each storage node are preset symptoms or not;
if yes, the storage node is eliminated to obtain a secondary screening storage node;
the obtaining the authentication information corresponding to the target data table and verifying the authentication information once comprises the following steps:
obtaining the organization information in the authentication information, judging whether the organization information comes from an authenticated organization node, and if so, passing the organization verification;
acquiring department information in the authentication information, judging whether the department information belongs to the organization information, and if so, passing the department information verification;
acquiring doctor information in the authentication information, judging whether the doctor information belongs to the department information, and if yes, passing the doctor verification;
the step of sending the authentication information to the screened storage nodes for secondary verification comprises the following steps:
transmitting the mechanism information passing verification to each storage node, and acquiring first verification feedback returned by the storage node;
if the first verification feedback shows that the corresponding storage node passes the mechanism verification, the department information is sent to the storage node passing the mechanism verification, and second verification feedback returned by the storage node is obtained;
if the second verification feedback shows that the corresponding storage node passes the department verification, the doctor information is sent to the storage node passing the department verification, and third verification feedback returned by the storage node is obtained;
and if the third verification feedback shows that the corresponding storage node passes the verification of the doctor, requesting the data of the storage node according to the target data table.
5. A blockchain-based medical data sharing system, the blockchain-based medical data sharing system comprising:
the system comprises a blockchain network, a database and a database, wherein the blockchain network is composed of at least one verification management node and a plurality of storage nodes, each storage node corresponds to a medical institution and is used for uploading and storing patient diagnosis and treatment information acquired by the corresponding medical institution, and the verification management node is used for executing the blockchain-based medical data sharing method according to any one of claims 1-3; and
and the mobile terminal is in wireless connection with the blockchain network and is used for acquiring user identity information.
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