KR102224949B1 - System and method for dealing medical data - Google Patents

Abstract

A medical data transaction system and method thereof, wherein the medical data transaction system according to an embodiment includes an interface unit for receiving medical data from at least one seller terminal and a purchase request signal from at least one purchaser terminal; and The chain data processing unit that stores the processed medical data and the medical data corresponding to the received purchase request signal among the stored medical data are processed for transaction, the hash value generated according to the transaction processing is calculated, and the calculated hash value is reflected. Thus, it may include a chain core processing unit that generates a block chain-based transaction block.

Description

Medical data transaction system and its method TECHNICAL FIELD [SYSTEM AND METHOD FOR DEALING MEDICAL DATA}

The present invention relates to a medical data transaction system and method thereof, and more particularly, to a technical idea for trading individual medical records, biometric data, and medical algorithms.

With the development of artificial intelligence technology, big data technology that extracts useful information by processing a lot of data is attracting attention.

In the case of face recognition, artificial intelligence technology has reached the level of real-time detection of criminals who have already been wanted among various people, and in the case of voice recognition, it has reached the level of controlling home appliances, etc. through speech, and in the pharmaceutical industry. Artificial intelligence is being applied for efficient drug development, and in the military field, artificial intelligence is being applied to robots that perform dangerous missions instead of humans.

Big data technology is also applied in various forms in order to maximize sales and increase advertising effect by analyzing products sold a lot by time and season, thanks to the development of artificial intelligence technology.

Meanwhile, in the medical field, the aforementioned artificial intelligence technology and big data technology are attracting attention as technologies for medical diagnosis and prediction.

Specifically, when a sufficient amount of medical data and biometric data such as respiration, heart rate, blood pressure, and body temperature related thereto are sufficiently secured, and the already used big data technology and artificial intelligence technology are applied, the diagnosis and diagnosis of diseases, which are currently trending in the medical field, and It is believed that it is possible to predict and prevent future diseases as well as treatment.

However, in the current medical field, it is difficult to realize the above-described paradigm change due to the problem that it is difficult to secure reliable medical data.

Specifically, current medical data is stored in a hospital or clinic where an individual received treatment. The only cases in which an individual has medical data is a request form, medical certificate, image data, or examination records transmitted when a medical institution is moved.

That is, there is a problem that it is virtually impossible to develop an algorithm for predicting and preventing diseases by collecting medical data on the current medical system.

Korean Patent Registration No. 10-1261042, "Method of providing personalized medical information sales service"

An object of the present invention is to provide a medical data transaction system and method capable of selling reliable medical data without leakage of personal information to technology development and policy researchers.

In addition, the present invention is to provide a medical data transaction system and method for easily selling medical algorithms developed based on personal medical records and biometric data purchased by researchers to other researchers and individual users.

In addition, the present invention is to provide a medical data transaction system and method capable of improving user convenience by providing a payment function using a virtual currency during medical data transaction.

In addition, the present invention is to provide a medical data transaction system and method that can improve security by preventing personal information from being leaked and hacked by conducting a transaction of medical data through a blockchain-based smart contract.

In addition, the present invention is to provide a medical data transaction system and method capable of minimizing system overload by generating a transaction block using only a hash value of information on individual transactions.

The medical data transaction system according to an embodiment of the present invention includes an interface unit that receives medical data from at least one seller terminal, a purchase request signal from at least one purchaser terminal, and chain data that stores the received medical data. Processes a transaction for medical data corresponding to the purchase request signal received from the processing unit and stored medical data, calculates a hash value generated according to the transaction processing, and creates a blockchain-based transaction block by reflecting the calculated hash value. It may include a chain core processing unit to generate.

According to one side, the chain core processing unit may provide a payment function using virtual currency during transaction processing, and the interface unit may provide medical data corresponding to the purchase request signal to the purchaser terminal upon completion of the transaction processing.

According to one side, at least one of the seller terminal and the buyer terminal is a private user, a medical institution, a data consumer, a data eco partner (DEP), and an algorithm eco partner (Algorithm). Eco Partner; AEP) is a terminal used by at least one user, and the medical data may include at least one of measured biometric data of a seller, a medical record of the seller, a disease prediction algorithm, and a disease diagnosis algorithm.

According to one side, at least one of the seller terminal and the buyer terminal may be connected to the interface unit through a dedicated app or web.

According to one side, the chain core processing unit extracts medical data having a similarity value within a preset error range with purchase information included in the purchase request signal among stored medical data as medical data corresponding to the purchase request signal, and extracts the medical data to the extracted medical data. You can proceed with transaction processing.

According to one side, the purchase information is at least one of age, sex, height, type of disease, disease progression, medical image information, genetic information, biometric data measurement information, diet management information, and purchase purpose information entered by the purchaser. It may include.

According to one side, the transaction block includes the type of medical data corresponding to the received purchase request signal, the type of the seller terminal or the purchaser terminal, the model name, the type, size, creation date and time of the medical data corresponding to the purchase request signal, and the progress of the transaction processing. It may include information of at least one of the date and time.

According to one side, the chain data processing unit may receive and store the calculated hash value.

According to one side, the chain core processing unit may verify the integrity of medical data corresponding to the purchase request signal by matching the hash value included in the transaction block with the stored hash value.

A medical data transaction method using a medical data transaction system according to an embodiment of the present invention includes receiving medical data from at least one seller terminal at an interface unit, storing medical data received from a chain data processing unit, and a chain. Blockchain-based transaction block by processing a transaction for medical data corresponding to the purchase request signal received from the medical data stored in the core processing unit, calculating a hash value generated according to the transaction processing, and reflecting the calculated hash value It may include the step of generating.

According to one side, generating the transaction block includes receiving a purchase request signal from at least one purchaser terminal in the interface unit, and purchase information included in the purchase request signal among medical data stored in the chain core processing unit and a preset error range. Extracting medical data having a similarity value of within as medical data corresponding to the purchase request signal, processing a transaction on the medical data extracted from the chain core processing unit, and generating a transaction in the chain core processing unit according to the transaction processing. It may further include calculating a hash value, generating a block chain-based transaction block by reflecting the calculated hash value, and receiving and storing the hash value calculated by the chain data processing unit.

According to an embodiment, it is possible to sell reliable medical data to technology development and policy researchers without leaking personal information.

According to an embodiment, it is possible to easily sell medical algorithms developed based on personal medical records and biometric data purchased by researchers to other researchers and individual users.

According to an embodiment, the user's convenience may be improved by providing a payment function using virtual currency when transacting medical data.

According to an embodiment, by conducting a transaction of medical data through a blockchain-based smart contract, it is possible to improve security by preventing the leakage and hacking of personal information.

According to an embodiment, by generating a transaction block using only a hash value of information on individual transactions, overloading of the system can be minimized.

1 is a diagram illustrating a medical data transaction system according to an embodiment.
2 is a diagram illustrating an implementation example of a medical data transaction system according to an embodiment.
3 is a diagram for explaining an embodiment of generating a transaction block reflecting a hash value calculated in a medical data transaction system according to an embodiment.
4 is a diagram illustrating a service structure of a medical data transaction system according to an embodiment.
5 is a diagram illustrating a medical data transaction method according to an embodiment.
6 is a diagram illustrating an embodiment of a method of generating a transaction block in a medical data transaction method according to an embodiment.

Hereinafter, various embodiments of the present document will be described with reference to the accompanying drawings.

The embodiments and terms used therein are not intended to limit the technology described in this document to a specific embodiment, and should be understood to include various changes, equivalents, and/or substitutes for the corresponding embodiment.

In the following description of various embodiments, when it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the invention, a detailed description thereof will be omitted.

In addition, terms to be described later are terms defined in consideration of functions in various embodiments, which may vary according to the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout the present specification.

In connection with the description of the drawings, similar reference numerals may be used for similar elements.

Singular expressions may include plural expressions unless the context clearly indicates otherwise.

In this document, expressions such as "A or B" or "at least one of A and/or B" may include all possible combinations of items listed together.

Expressions such as "first," "second," "first," or "second," can modify the corresponding elements regardless of their order or importance, and to distinguish one element from another It is used only and does not limit the corresponding components.

When any (eg, first) component is referred to as being “(functionally or communicatively) connected” or “connected” to another (eg, second) component, a component is referred to as the other component. It may be directly connected to the element, or may be connected through another element (eg, a third element).

In the present specification, "configured to" (configured to)" is changed to "suitable to," "having the ability to," "to," "to," "suitable for" in hardware or software according to the situation, for example, ," "made to," "can do," or "designed to" can be used interchangeably.

In some situations, the expression "a device configured to" may mean that the device "can" along with other devices or parts.

For example, the phrase “a processor configured (or configured) to perform A, B, and C” means a dedicated processor (eg, an embedded processor) for performing the operation, or by executing one or more software programs stored in a memory device. , May mean a general-purpose processor (eg, a CPU or an application processor) capable of performing the corresponding operations.

In addition, the term'or' means an inclusive OR'inclusive or' rather than an exclusive OR'exclusive or'.

That is, unless stated otherwise or unless clear from context, the expression'x uses a or b'means any one of natural inclusive permutations.

In the above-described specific embodiments, constituent elements included in the invention are expressed in the singular or plural according to the presented specific embodiments.

However, the singular or plural expression is selected appropriately for the situation presented for convenience of description, and the above-described embodiments are not limited to the singular or plural constituent elements, and even constituent elements expressed in plural are composed of the singular or However, even if it is a component expressed in a singular number, it can be composed of pluralities.

Meanwhile, although specific embodiments have been described in the description of the present invention, various modifications are possible without departing from the scope of the technical idea included in the various embodiments.

Therefore, the scope of the present invention is limited to the described embodiments and should not be defined, and should be defined by the claims and equivalents as well as the claims to be described later.

1 is a diagram illustrating a medical data transaction system according to an embodiment.

Referring to FIG. 1, the medical data transaction system 100 according to an embodiment may sell reliable medical data to technology development and policy researchers without leakage of personal information.

In addition, the medical data transaction system 100 may easily sell medical algorithms developed based on personal medical records and biometric data purchased by researchers to other researchers and individual users.

To this end, the medical data transaction system 100 may include an interface unit 110, a chain data processing unit 120, and a chain core processing unit 130.

First, the interface unit 110 according to an embodiment may receive medical data from at least one seller terminal and a purchase request signal from at least one purchaser terminal.

Specifically, the interface unit 110 may receive medical data from a seller terminal and transmit the received medical data to the chain data processing unit 120. In addition, the interface unit 110 may receive a purchase request signal from a purchaser terminal and transmit the received purchase request signal to the chain core processing unit 130.

According to one side, at least one of the seller terminal and the buyer terminal is a private user, a medical institution, a data consumer, a data eco partner (DEP), and an algorithm eco partner (Algorithm). It may be a terminal used by at least one user of Eco Partner; AEP).

On the other hand, the types of seller terminals and buyer terminals are not limited to the above-described examples, and generally known personal computers, tablet PCs, mobile phones, and other terminals used by individuals and business operators may be included. ) May be included in any medical device that has a communication function that can be accessed.

For example, a medical device may use medical data through the medical data transaction system 100 only when a medical information provider including a seller agrees to provide medical data.

For a more specific example, the medical device may perform a procedure of checking whether a medical information provider provides medical data, and may provide a request signal generated according to a result of performing the procedure to the medical data transaction system 100.

According to one side, the medical data may include at least one of a seller's measured biometric data, a seller's medical record, a disease prediction algorithm, and a disease diagnosis algorithm, but medical data according to an embodiment is not limited to the above-described example. It may contain various data and medical algorithms required for medical research and development.

For example, the measured biometric data of the seller may include at least one of the user's blood pressure, heart rate, blood sugar, respiration, and body temperature measured through the biometric data measuring device, and basic information such as the user's age, gender, and height. May be included.

In addition, the medical record of the seller may include disease information, disease progression, medical image information such as MRI and CT, gene information, and diet management information.

According to one side, at least one of the seller terminal and the buyer terminal may be connected to the interface unit 110 through a dedicated app or web.

For example, a dedicated app or web may provide different functions according to the purpose of use of the user.

More specifically, a dedicated app or web for individual users may provide functions necessary to store and sell personal medical records and personal biosignal data measured through medical equipment or wellness products that are used on a daily basis. .

In addition, a dedicated app or web for a medical institution may store personal medical records or data used for diagnosis, and provide a function of purchasing medical records and biometric data necessary for research in the medical field.

In addition, a dedicated app or web for data purchasers may provide functions necessary to purchase medical records and biometric data.

Meanwhile, a dedicated app or web for data echo partners and algorithmic echo partners may provide a function to sell data owned by each partner and medical algorithms such as disease diagnosis and prediction algorithms.

Next, the chain data processing unit 120 according to an embodiment may receive and store medical data from the interface unit 110.

Next, the chain core processing unit 130 according to an embodiment processes a transaction for medical data corresponding to the received purchase request signal among stored medical data, calculates a hash value generated according to the transaction processing, and calculates Blockchain-based transaction blocks can be created by reflecting the hash value.

In other words, the chain core processing unit 130 according to an embodiment extracts medical data corresponding to the purchase request signal, automatically performs transaction processing on the extracted medical data, and transfers transaction details according to transaction processing to a blockchain. User convenience and security can be improved by performing the managed smart contract function.

However, in the case of smart contracts, considering the storage capacity of the actual server and the speed of the network, it is somewhat inefficient to distribute and manage the entire medical data processed in a block chain.

Therefore, the chain core processing unit 130 according to an embodiment does not manage the entire data according to individual transaction processing with a block chain, but manages only the calculated hash value and essential information according to the individual transaction processing with the block chain. Overloading can be minimized.

For example, the transaction block is the type of medical data corresponding to the received purchase request signal, the type of the seller terminal or the purchaser terminal, the model name, the type of medical data corresponding to the purchase request signal, the size of medical data, and the generation of medical data. At least one of the date and time of transaction processing and the date and time of transaction processing may be included as the calculated hash value and essential information.

In addition, the type of medical data corresponding to the received purchase request signal may include an identifier for identifying whether the medical data includes biometric data, whether a medical record is included, whether a disease prediction algorithm is included, and whether a disease diagnosis algorithm is included.

Meanwhile, whether or not to include biometric data may include information on the type of detailed biometric data. That is, whether the biometric data is included may include whether at least one of blood pressure, blood sugar, heart rate, respiration, and body temperature is included.

Specifically, the chain core processing unit 130 receives medical data having a similarity value within a preset error range with purchase information included in the purchase request signal among the medical data stored in the chain data processing unit 120. It can be extracted as data, and transaction processing can be performed on the extracted medical data.

According to one side, the purchase information is at least one of age, sex, height, type of disease, disease progression, medical image information, genetic information, biometric data measurement information, diet management information, and purchase purpose information entered by the purchaser. May include, but purchase information according to an embodiment is not limited to the above-described example.

In addition, the purchase purpose information may include information on whether or not to purchase medical data of at least one of biometric data, medical records, disease prediction algorithms, and disease diagnosis algorithms, and the chain core processing unit 130 performs extraction according to the purchase purpose information. It is possible to limit the types of medical data for use.

For a more specific example, when the age condition included in the purchase information is 20 to 25 years old, and the key condition is 175Cm to 180Cm, the chain core processing unit 130 is a predetermined error among medical data stored in the chain data processing unit 120 Medical data having a similarity value within a range may be selected, and medical data having a value most similar to a condition included in the above-described purchase information may be extracted from among the selected medical data.

According to one side, the chain core processing unit 130 may extract medical data in which the number of information matching a condition among information items included in purchase information is equal to or greater than a preset threshold.

For example, among the medical data stored in the chain data processing unit 120, the chain core processing unit 130 corresponds to the first medical data corresponding to the age and gender information, and the second medical data corresponding to the age, gender, and key information, When the third medical data matches information on age, sex, height, and type of disease, the third medical data having the largest number of matching information may be extracted.

According to one side, the chain core processing unit 130 is a key generation engine that generates a public key and a private key, and the generated public key and individual in order to manage the result of transaction processing with a block chain. It may include an encryption/decryption engine that performs encryption processing using a key and an authentication means that performs authentication.

On the other hand, the medical data transaction system 100 according to an embodiment, when the medical data received from the seller terminal is a disease prediction algorithm or a disease diagnosis algorithm, the medical data is transferred to the chain core processing unit 130 instead of the chain data processing unit 120. It may be separately stored in and managed, and the chain core processing unit 130 may include a separate internal memory means for storing medical data.

According to one side, the chain core processing unit 130 provides a payment function using virtual currency during transaction processing, and the interface unit 110 provides medical data corresponding to the purchase request signal to the purchaser terminal upon completion of the transaction processing. can do.

Specifically, the chain core processing unit 130 interlocks with a virtual currency server and supports payment of costs according to transaction processing in virtual currency, thereby improving user convenience.

According to one side, the chain data processing unit 120 may receive and store the hash value calculated from the chain core processing unit 130.

In addition, the chain data processing unit 120 may verify the integrity of medical data corresponding to the purchase request signal by matching the hash value included in the transaction block with the stored hash value.

In other words, the chain data processing unit 120 may separately store hash values according to transaction processing, and then, by matching the hash value included in the transaction block with the hash value stored in the chain data processing unit 120, the integrity of transaction processing Can be secured.

2 is a diagram illustrating an implementation example of a medical data transaction system according to an embodiment.

That is, FIG. 2 relates to an implementation example of a medical data transaction system according to an embodiment described with reference to FIG. 1, and descriptions overlapping with those described with reference to FIG. 1 will be omitted among the contents described with reference to FIG. 2. .

Referring to FIG. 2, the medical data transaction system 200 may include an interface unit 210, a chain data processing unit 220, and a chain core processing unit 230.

Specifically, the interface unit 210 may be connected to at least one seller terminal or a purchaser terminal to receive medical data from the seller terminal and a purchase request signal from the purchaser terminal.

For example, the medical data may include at least one of a seller's measured biometric data, a seller's medical record, a disease prediction algorithm, and a disease diagnosis algorithm.

According to one side, the seller terminal or the purchaser terminal is a private user, a medical institution, a data consumer, a data eco partner (DEP), and an algorithm eco partner (AEP). ) May be a terminal used by at least one user.

In addition, the interface unit 210 may be connected to a seller terminal or a buyer terminal through a dedicated app or web.

More specifically, a dedicated app or web for individual users (Private User APP/Web) is necessary for storing and selling personal biosignal data measured through personal medical records, medical equipment or wellness products that are used on a daily basis. Function can be provided.

In addition, a dedicated app or web for medical institutions (Medical Institutions APP/Web) can provide a function to store personal medical records or data used for diagnosis, and to purchase medical records and biometric data necessary for medical research. have.

In addition, a dedicated app or web (Data Consumer APP/Web) for data purchasers may provide functions necessary to purchase medical records and biometric data.

Meanwhile, a dedicated app or web (DEP/AEP APP/Web) for data echo partners and algorithmic echo partners may provide a function to sell data or medical diagnosis and prediction algorithms owned by each partner.

The chain data processing unit 220 may store medical data received through the interface unit 210, and may receive and store a hash value according to transaction processing from the chain core processing unit 230.

Meanwhile, the chain core processing unit 230 may further include a data management unit 231, an algorithm management unit 232, a smart contract unit 233, and a billing unit 234.

More specifically, the data management unit 231 may extract data corresponding to the purchase request signal received from the purchaser terminal from among the biometric data and medical records stored in the chain data processing unit 220.

In addition, the data management unit 231 may convert stored medical data into standard protocols such as HL7, DICOM, and ISO in order to improve data compatibility.

In addition, the data management unit 231 may encrypt and store medical data stored with various encryption algorithms to enhance data security.

The algorithm management unit 232 may manage medical algorithms such as a disease prediction algorithm and a disease diagnosis algorithm uploaded by a seller.

More specifically, the algorithm management unit 232 may extract an algorithm corresponding to the purchase request signal received from the purchaser terminal from among the medical algorithms stored in the chain data processing unit 220.

Meanwhile, the algorithm management unit 232 may separately manage the medical algorithm by storing it in a memory means provided inside the algorithm management unit 232 instead of the chain data processing unit 220.

The smart contract unit 233 may automatically perform transaction processing on the medical data extracted from the data management unit 231 or the algorithm management unit 232 and manage transaction details according to the transaction processing in a block chain.

That is, the smart contract unit 233 can automatically perform transaction processing on medical data corresponding to the purchase request signal received from the purchaser terminal without external intervention, and by performing contract processing based on blockchain technology, The level can secure security and convenience of transactions.

On the other hand, the billing unit 234 may provide a payment function using virtual currency when a transaction is processed in the smart contract unit 233.

3 is a diagram for explaining an embodiment of generating a transaction block reflecting a hash value calculated in a medical data transaction system according to an embodiment.

That is, the embodiment of FIG. 3 may be performed through the chain core processor of the medical data transaction system according to the embodiment described with reference to FIG. 1.

Referring to FIG. 3, the chain core processor at 310 may perform individual transactions, and at 320 may calculate a hash value according to the individual transaction progress.

Next, the chain core processing unit at reference numeral 330 may generate a hash value of the Merkletree using the calculated hash value, and may insert the hash value of the Merkletree generated at reference numeral 340 into the block header.

Next, at reference numeral 340, the chain core processing unit may generate a block hash of the block into which the hash value of the Merkletree is inserted, and the generated block hash will be transmitted to the chain data processing unit of the medical data transaction system according to an embodiment. I can.

4 is a diagram illustrating a service structure of a medical data transaction system according to an embodiment.

Referring to FIG. 4, as shown in reference numeral 400, the medical data transaction system according to an embodiment is linked with a seller terminal and a purchaser terminal through a dedicated app or web to upload medical records, biometric data, and Medical algorithms such as disease prediction algorithms and disease diagnosis algorithms can be stored and managed as medical data.

In addition, among the stored medical data, a purchaser may automatically process a transaction for medical data corresponding to a purchase request signal reflecting a request, and transfer medical data on which the transaction is completed to a purchaser terminal.

That is, the medical data transaction system according to an exemplary embodiment may support easy transaction of medical records, biometric data, and medical algorithms between sellers and buyers.

5 is a diagram illustrating a medical data transaction method according to an embodiment.

That is, FIG. 5 relates to a medical data transaction method using a medical data transaction system according to an embodiment described with reference to FIG. 1, and a description overlapping with that described with reference to FIG. 1 is omitted among the contents described with reference to FIG. 5. I will do it.

Referring to FIG. 5, in step 510, in the medical data transaction method according to an embodiment, the interface unit may receive medical data from at least one seller terminal.

Next, in step 520, the medical data transaction method according to an embodiment may store the medical data received from the chain data processing unit.

Next, in step 530, the medical data transaction method according to an embodiment performs a transaction processing on the medical data corresponding to the received purchase request signal among medical data stored in the chain core processing unit, and a hash value generated according to the transaction processing. Is calculated, and a block chain-based transaction block can be created by reflecting the calculated hash value.

6 is a diagram illustrating an embodiment of a method of generating a transaction block in a medical data transaction method according to an embodiment.

That is, the embodiment of FIG. 6 may be performed in step 530 of generating the transaction block described with reference to FIG. 5.

Referring to FIG. 6, in step 610, in the medical data transaction method according to an embodiment, the interface unit may receive a purchase request signal from at least one purchaser terminal.

Next, in step 620, in the medical data transaction method according to an embodiment, among the medical data stored in the chain core processing unit, medical data having a similarity value within a preset error range with purchase information included in the purchase request signal is transferred to the purchase request signal. It can be extracted as corresponding medical data.

Next, in step 630, the medical data transaction method according to an embodiment may perform transaction processing on the medical data extracted from the chain core processing unit.

Next, in step 640, the medical data transaction method according to an embodiment calculates a hash value generated according to the transaction processing in the chain core processing unit, and generates a blockchain-based transaction block by reflecting the calculated hash value. I can.

Next, in step 650, the medical data transaction method according to an embodiment may receive and store the hash value calculated by the chain data processing unit.

Consequently, using the present invention, it is possible to sell reliable medical data to technology development and policy researchers without leakage of personal information.

In addition, medical algorithms developed based on medical records and biometric data purchased by researchers can be easily sold to other researchers and individual users.

In addition, it is possible to improve user convenience by providing a payment function using virtual currency when transacting medical data.

In addition, by processing medical data transactions through blockchain-based smart contracts, it is possible to improve security by preventing leakage and hacking of personal information, and creating a transaction block using only the hash value of information about individual transactions. By doing so, overloading of the system can be minimized.

The apparatus described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices and components described in the embodiments include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. Further, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to operate as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or, to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave.

The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

100: medical data transaction system 110: interface unit
120: chain data processing unit 130: chain core processing unit

Claims (11)

Receiving medical data including at least one of a seller's measured biometric data, the seller's medical record, a disease prediction algorithm, and a disease diagnosis algorithm from at least one seller terminal, and receiving a purchase request signal from at least one purchaser terminal. An interface unit;
A chain data processing unit that stores the received medical data, and
Among the stored medical data, medical data having a similarity value within a preset error range with purchase information included in the received purchase request signal is extracted as medical data corresponding to the received purchase request signal, and the extracted medical data is A transaction process is performed, a hash value generated according to the transaction processing is calculated, and the calculated hash value is transferred to the chain data processing unit so that the calculated hash value is stored in the chain data processing unit, and the calculation A block chain-based transaction block is created by reflecting only the hash value and essential information according to the transaction processing, and the purchase request is made by matching the hash value included in the transaction block with the hash value stored in the chain data processing unit. Chain core processing unit that verifies the integrity of medical data corresponding to the signal
Including,
Required information according to the transaction processing above is
Type of medical data corresponding to the received purchase request signal, the type of the seller terminal or the purchaser terminal, the model name of the seller terminal or the purchaser terminal, the type of medical data corresponding to the purchase request signal, the purchase request signal Including at least one of the size of the medical data corresponding to the, the creation date and time of the medical data corresponding to the purchase request signal, and the transaction processing date and time,
At least one of the seller terminal and the purchaser terminal is connected to the interface unit through a dedicated app or web,
The dedicated app or web
Providing a function of selling at least one medical algorithm among the disease prediction algorithm and the disease diagnosis algorithm,
The chain core processing unit
Extracting an algorithm corresponding to the received purchase request signal from among the medical algorithms and processing a transaction on the extracted algorithm,
A hash value of the Merkletree is generated using the calculated hash value, the hash value of the generated Merkletree is inserted into the block header of the transaction block, and a block hash of the block into which the hash value of the Merkletree is inserted is generated. And transmits the generated block hash to the chain data processing unit,
Automatically performing the transaction processing without external intervention based on the payment function using virtual currency
Medical data transaction system. The method of claim 1,
The interface unit
Upon completion of the transaction processing, providing medical data corresponding to the purchase request signal to the purchaser terminal
Medical data transaction system. The method of claim 1,
At least one of the seller terminal and the buyer terminal
Private User, Medical Institution, Data Consumer, Data Eco Partner (DEP), and Algorithm Eco Partner (AEP). Terminal
Medical data transaction system. delete delete The method of claim 1,
The above purchase information is
Includes at least one of age, sex, height, type of disease, disease progression, medical image information, genetic information, biometric data measurement information, diet management information, and purchase purpose information entered by the purchaser using the purchaser terminal. doing
Medical data transaction system. delete delete delete Receiving medical data including at least one of a seller's measured biometric data, a medical record of the seller, a disease prediction algorithm, and a disease diagnosis algorithm from at least one seller terminal in the interface unit;
Storing the received medical data in a chain data processing unit; and
Receiving a purchase request signal from at least one purchaser terminal in the interface unit, and
The chain core processor extracts medical data having a similarity value within a preset error range with purchase information included in the received purchase request signal among the stored medical data as medical data corresponding to the received purchase request signal, and the Processes a transaction on the extracted medical data, calculates a hash value generated according to the transaction processing, and transfers the calculated hash value to the chain data processing unit so that the calculated hash value is stored in the chain data processing unit. And, by reflecting only the calculated hash value and essential information according to the transaction processing, a block chain-based transaction block is generated, and the hash value included in the transaction block and the hash value stored in the chain data processing unit are matched (Matching) Verifying the integrity of medical data corresponding to the purchase request signal
Including,
Required information according to the transaction processing above is
Type of medical data corresponding to the received purchase request signal, the type of the seller terminal or the purchaser terminal, the model name of the seller terminal or the purchaser terminal, the type of medical data corresponding to the purchase request signal, the purchase request signal Including at least one of the size of the medical data corresponding to the, the creation date and time of the medical data corresponding to the purchase request signal, and the processing date and time of the transaction processing,
At least one of the seller terminal and the purchaser terminal is connected to the interface unit through a dedicated app or web,
The dedicated app or web
Providing a function of selling at least one medical algorithm among the disease prediction algorithm and the disease diagnosis algorithm,
The step of verifying the integrity is
Extracting an algorithm corresponding to the received purchase request signal from among the medical algorithms and processing a transaction for the extracted algorithm,
A hash value of the Merkletree is generated using the calculated hash value, the hash value of the generated Merkletree is inserted into the block header of the transaction block, and a block hash of the block into which the hash value of the Merkletree is inserted is generated. And transmits the generated block hash to the chain data processing unit,
Automatically performing the transaction processing without external intervention based on the payment function using virtual currency
Medical data transaction method using medical data transaction system.
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