KR20200040019A - System and method for dealing medical data - Google Patents

Abstract

The present invention relates to a medical data transaction system and a method thereof. According to an embodiment of the present invention, the medical data transaction system may comprise: an interface unit for receiving medical data from at least one seller terminal and receiving a purchase request signal from at least one buyer terminal; a chain data processing unit for storing the received medical data; and a chain core processing unit which performs transaction processing on the medical data corresponding to the received purchase request signal from the stored medical data, calculates a hash value generated according to the transaction processing, and generates a blockchain-based transaction block by reflecting the calculated hash value.

Description

System and method for medical data transaction {SYSTEM AND METHOD FOR DEALING MEDICAL DATA}

It relates to a medical data transaction system and method, and more particularly, to a technical idea of trading an individual medical record, biometric data, and medical algorithm.

Currently, with the development of artificial intelligence technology, big data technology that processes a lot of data and extracts useful information is attracting attention.

In the face recognition field, artificial intelligence technology has already reached the level of real-time finding criminals among various characters, and in the voice recognition field, it has reached the level of controlling household appliances through speech, and in the case of the pharmaceutical industry. Artificial intelligence is being applied for effective 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 to maximize sales and increase advertising effectiveness by analyzing products that are sold 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 a technology for medical diagnosis and prediction.

Specifically, if sufficient amount of medical data and related biological data such as breathing, heart rate, blood pressure, and body temperature are sufficiently secured and big data technology and artificial intelligence technology that are already in use are applied, diagnosis and diagnosis of disease, which is a current trend in the medical field, and In addition to treatment, it is expected to be able to predict and prevent future diseases.

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

Specifically, current medical data is stored in a hospital or clinic where an individual has been treated. In the case where an individual has medical data, only a medical referral, a medical certificate, image data, or a medical examination record transmitted when a medical institution is moved.

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

Korean Registered Patent No. 10-1261042, "How to provide personalized medical information sales service"

The present invention seeks to provide a medical data transaction system and method for selling reliable medical data without leaking 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 medical records and biometric data of an individual purchased by researchers to other researchers and individual users.

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

In addition, the present invention is to provide a medical data transaction system and method for improving security by preventing leakage and hacking of personal information by proceeding with the 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 for minimizing overload of the system by generating a transaction block using only a hash value of information related to individual transactions.

The medical data transaction system according to an embodiment of the present invention receives medical data from at least one or more seller terminals, an interface unit for receiving a purchase request signal from at least one or more buyer terminals, and chain data to store the received medical data Transaction processing for medical data corresponding to the received purchase request signal from the processing unit and the stored medical data is performed, the hash value generated according to the transaction processing is calculated, and the blockchain-based transaction block is reflected 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 a virtual currency when processing a transaction, and the interface unit may provide medical data corresponding to a purchase request signal to the purchaser terminal when the transaction processing is completed.

According to one side, at least one of the seller terminal and the buyer terminal is a personal user (Private User), medical institution (Medical Institution), data buyer (Data Consumer), Data Eco Partner (DEP) and 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 the seller, medical records of the seller, disease prediction algorithm, and 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 (App) or the web (Web).

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

According to one side, the purchase information is at least one of the age, gender, height, disease type, disease progression, medical image information, genetic information, bio data measurement information, dietary management information, and purchase purpose information input by the buyer. It may include.

According to one side, 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, size, creation date and time of transaction processing and the medical data corresponding to the purchase request signal. It may include 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 processor 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 or more seller terminals in an interface unit, and storing medical data received in a chain data processing unit and chain. The core processing unit performs transaction processing on medical data corresponding to the received purchase request signal among stored medical data, calculates the hash value generated according to the transaction processing, and reflects the calculated hash value to block the blockchain-based transaction block It may include the step of generating.

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

According to one embodiment, reliable medical data can be sold to technology development and policy researchers without leakage of personal information.

According to one embodiment, medical algorithms developed based on medical records and biometric data of an individual purchased by researchers can be easily sold to other researchers and individual users.

According to an embodiment, when providing medical data, it is possible to improve user convenience by providing a payment function using a virtual currency.

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

According to one embodiment, by generating a transaction block using only a hash value of information about an individual transaction, it is possible to minimize overloading of the system.

1 is a view for explaining a medical data transaction system according to an embodiment.
2 is a view for explaining an implementation example of a medical data transaction system according to an embodiment.
3 is a diagram illustrating 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 view for explaining an embodiment of a method for generating a transaction block in a medical data transaction method according to an embodiment.

Hereinafter, various embodiments of this document are described with reference to the accompanying drawings.

It should be understood that the embodiments and terms used therein are not intended to limit the technology described in this document to specific embodiments, and include various modifications, equivalents, and / or substitutes of the embodiments.

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, the detailed description 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 a user's or operator's intention or practice. Therefore, the definition should be made based on the contents throughout this specification.

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

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 components, regardless of order or importance, to distinguish one component from another component It is used but does not limit the components.

When one (eg, first) component is said to be “connected (functionally or communicatively)” 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 component (eg, third component).

In this specification, "configured to (or configured) (configured to)", depending on the situation, for example, in hardware or software, "suitable for," "with the ability to", "has been modified to It can be used interchangeably with "made to do," "can do," or "designed to do."

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

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

In addition, the term 'or' refers to the inclusive 'inclusive or' rather than the exclusive 'exclusive or'.

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

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

However, the singular or plural expressions are appropriately selected for the situation presented for convenience of explanation, and the above-described embodiments are not limited to the singular or plural components, and even the components expressed in plural are composed of the singular or , Even a component represented by a singular number may be composed of a plurality.

On the other hand, in the description of the invention, specific embodiments have been described, but various modifications are possible without departing from the scope of the technical spirit of the various embodiments.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the claims described below but also by the claims and equivalents.

1 is a view for explaining 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 without leaking personal information to technology development and policy researchers.

In addition, the medical data transaction system 100 can easily sell medical algorithms developed based on medical records and biometric data of an individual 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 receive a purchase request signal from at least one buyer terminal.

Specifically, the interface unit 110 may receive medical data from the seller terminal and deliver the received medical data to the chain data processing unit 120. In addition, the interface unit 110 may receive a purchase request signal from the 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 personal user (Private User), medical institution (Medical Institution), data buyer (Data Consumer), Data Eco Partner (DEP) and algorithm Eco Partner (Algorithm) Eco Partner; AEP) may be a terminal used by at least one user.

Meanwhile, the types of the seller terminal and the buyer terminal are not limited to the above-described examples, and may include terminals used by individuals and businesses, such as personal computers, tablet PCs, and mobile phones, which are generally known, and can directly include medical data transaction systems (100 ) May include all medical devices having a communication function accessible.

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

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

According to one side, the medical data may include at least one of the measured biometric data of the seller, the medical record of the seller, the disease prediction algorithm and the disease diagnosis algorithm, but the medical data according to an embodiment is not limited to the above-described example It can include 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, breathing, and body temperature measured by the biometric data measuring device, and basic information such as the user's age, gender and height May be included.

In addition, the seller's medical record may include disease information, disease progression, medical imaging information such as MRI and CT, genetic information, and dietary 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 (App) or the web (Web).

For example, a dedicated app or web may provide different functions depending on a user's purpose of use.

More specifically, a dedicated app or web for an individual user may provide a personal medical record and a function necessary for storing and selling personal biosignal data measured through medical equipment or wellness products that are normally used. .

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

In addition, a dedicated app or web for data buyers can provide the functionality needed to purchase medical records and biometric data.

Meanwhile, a dedicated app or web for data eco-partners and algorithm eco-partners may provide a function of selling 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 performs a transaction processing on medical data corresponding to a 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 generated 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 the transaction history according to the transaction processing as a blockchain It can improve the convenience and security of the user by performing the managed smart contract function.

However, in the case of a smart contract, considering the storage capacity of the actual server and the speed of the network, there is a rather inefficient aspect of decentralizing and managing the entire medical data processed by the blockchain.

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

For example, the transaction block may include 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 the transaction processing time 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 capable of identifying whether medical data includes biometric data, whether medical records are included, whether a disease prediction algorithm is included, and whether a disease diagnosis algorithm is included.

Meanwhile, whether to include biometric data may include detailed information on the type of biometric data. That is, whether to include biometric data may include whether to include at least one of blood pressure, blood sugar, heart rate, breathing, and body temperature.

Specifically, the chain core processing unit 130 is a medical data corresponding to the purchase request signal and medical data having a similarity value within a predetermined error range and 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 for the extracted medical data can be performed.

According to one side, the purchase information is at least one of the age, gender, height, disease type, disease progression, medical image information, genetic information, bio data measurement information, dietary management information, and purchase purpose information input by the buyer. It may include, but the purchase information according to an embodiment is not limited to the above-described example.

In addition, the purchase purpose information may include purchase information regarding at least one of medical data among biological data, medical records, disease prediction algorithms, and disease diagnosis algorithms, and the chain core processing unit 130 extracts according to the purchase purpose information You can limit the types of medical data for.

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 175 to 180 cm, the chain core processing unit 130 is a preset error among the 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 the condition included in the above-described purchase information may be extracted from the selected medical data.

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

For example, the chain core processing unit 130 of the medical data stored in the chain data processing unit 120, the first medical data matches the age and gender information, the second medical data matches the age, gender, and key information, When the third medical data matches information regarding age, gender, 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, a key generation engine that generates a public key and a private key, a generated public key and a private, in order to manage the result of the transaction processing as a blockchain An encryption / decryption engine that performs encryption processing using a key and an authentication means that performs authentication may be included.

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 not the chain data processing unit 120 but the chain core processing unit 130 It can be stored and managed separately, 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 a virtual currency when processing a transaction, and the interface unit 110 provides medical data corresponding to a purchase request signal to the buyer terminal when the transaction processing is completed. can do.

Specifically, the chain core processing unit 130 may improve the user's convenience by interworking with the virtual currency server to support payment of transaction processing in virtual currency.

According to one side, the chain data processing unit 120 may receive and store the calculated hash value 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 the transaction processing, and thereafter, match the hash values included in the transaction block with the hash values stored in the chain data processing unit 120, thereby integrity of transaction processing. Can be secured.

2 is a view for explaining 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 among the contents described with reference to FIG. 2 will be omitted. .

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 buyer terminal, receive medical data from the seller terminal, and receive a purchase request signal from the buyer terminal.

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

According to one side, the seller terminal or the buyer terminal is a user (Private User), medical institution (Medical Institution), data buyer (Data Consumer), Data Eco Partner (DEP) and algorithm Eco Partner (Algorithm Eco Partner; AEP) ) May be a terminal used by at least one user.

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

More specifically, a dedicated app for the individual user or the web (Private User APP / Web) is necessary to store and sell personal biosignal data measured through personal medical records or medical equipment or wellness products used in everyday use. Can provide functionality.

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

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

Meanwhile, a dedicated app or web (DEP / AEP APP / Web) for data eco partners and algorithm eco partners may provide a function of selling data owned by each partner or a medical diagnosis and prediction algorithm.

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 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 to improve data compatibility.

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

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

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

Meanwhile, the algorithm management unit 232 may store and manage the medical algorithm 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 with a blockchain.

In other words, the smart contract unit 233 can automatically perform transaction processing on the medical data corresponding to the purchase request signal received from the purchaser terminal without external intervention, and perform the contract processing based on the blockchain technology, thereby achieving high The level can secure security and convenience of transactions.

Meanwhile, the billing unit 234 may provide a payment function using virtual currency when the transaction processing in the smart contract unit 233 is in progress.

3 is a diagram illustrating 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 processing unit of the medical data transaction system according to the embodiment described with reference to FIG. 1.

Referring to FIG. 3, the chain core processing unit proceeds to individual transactions at reference numeral 310 and may calculate a hash value according to individual transaction progression at reference numeral 320.

Next, at reference numeral 330, the chain core processing unit may generate a hash value of the Merkle tree using the calculated hash value, and may insert the hash value of the Merkle tree 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 a block in which a hash value of Merkle Tree is inserted, and the generated block hash may be transmitted to the chain data processing unit of the medical data transaction system according to an embodiment. You can.

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

Referring to FIG. 4, a medical data transaction system according to an embodiment as shown in reference numeral 400 is linked to a seller terminal and a buyer terminal through a dedicated app or a web, medical records and biometric data uploaded by different sellers, 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, the purchaser may automatically process a transaction for medical data corresponding to a purchase request signal that reflects the request, and transmit the medical data on which the transaction is completed to the purchaser terminal.

That is, the medical data transaction system according to an embodiment may support medical records, biometric data, and medical algorithms to easily trade between the seller and the buyer.

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 the contents described with reference to FIG. 1 among the contents described with reference to FIG. 5 will be omitted. I will do it.

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

Next, in step 520, the medical data transaction method according to an embodiment may store 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 medical data corresponding to a received purchase request signal among medical data stored in the chain core processing unit, and a hash value generated according to the transaction processing Calculate and reflect the calculated hash value to create a blockchain-based transaction block.

6 is a view for explaining an embodiment of a method for 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 through FIG. 5.

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

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

Next, in step 630, in the medical data transaction method according to an embodiment, the transaction processing for medical data extracted by the chain core processing unit may be performed.

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. You 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.

After all, using the present invention, it is possible to sell reliable medical data without leaking personal information to technology development and policy researchers.

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

In addition, by proceeding with the transaction of medical data through a blockchain-based smart contract, it is possible to prevent the leakage and hacking of personal information, thereby improving security, and creating a transaction block using only the hash value of information related to individual transactions. By doing so, it is possible to minimize overloading of the system.

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

The software may include a computer program, code, instruction, or a combination of one or more of these, and configure the processing device to operate as desired, or process 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 embodied in the transmitted signal wave.

The software may be distributed on networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in 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 on a computer readable medium. The computer-readable medium may include program instructions, data files, data structures, or the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiments or may be known and usable by 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, DVDs, and magnetic media such as floptical disks. -Hardware devices 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 high-level language code that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

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

Claims (11)

An interface unit that receives medical data from at least one seller terminal and receives a purchase request signal from at least one buyer terminal;
Chain data processing unit for storing the received medical data and
Among the stored medical data, a transaction processing is performed on medical data corresponding to the received purchase request signal, a hash value generated according to the transaction processing, and a blockchain-based transaction by reflecting the calculated hash value Chain core processing unit to generate blocks
Medical data transaction system comprising a. According to claim 1,
The chain core processing unit
When processing the transaction, it provides a payment function using virtual currency,
The interface unit
Upon completion of the transaction processing, providing medical data corresponding to the purchase request signal to the buyer terminal
Medical data trading system. According to claim 1,
At least one of the seller terminal and the buyer terminal
Used by at least one of the Private User, Medical Institution, Data Consumer, Data Eco Partner (DEP) and Algorithm Eco Partner (AEP) Terminal,
The medical data
It includes at least one of the measured biometric data of the seller, the medical record of the seller, disease prediction algorithm and disease diagnosis algorithm
Medical data trading system. According to claim 1,
At least one of the seller terminal and the buyer terminal
Connected to the interface unit through a dedicated app or web
Medical data trading system. According to claim 1,
The chain core processing unit
Among the stored medical data, medical information having a similarity value within a predetermined error range and purchase information included in the purchase request signal is extracted as medical data corresponding to the purchase request signal, and the transaction processing for the extracted medical data To proceed
Medical data trading system. The method of claim 5,
The above purchase information
The at least one of the age, gender, height, disease type, disease progression, medical image information, genetic information, bio data measurement information, dietary management information, and purchase purpose information input by the buyer
Medical data trading system. According to claim 1,
The transaction block
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 transaction processing and the date and time of processing of the transaction Containing at least one piece of information
Medical data trading system. According to claim 1,
The chain data processing unit
Receive and store the calculated hash value
Medical data trading system. The method of claim 8,
The chain core processing unit
Matching the hash value included in the transaction block and the stored hash value to verify the integrity of medical data corresponding to the purchase request signal
Medical data trading system. Receiving medical data from at least one seller terminal in the interface unit;
Storing the received medical data in a chain data processor; and
The chain core processing unit performs transaction processing on medical data corresponding to the received purchase request signal among the stored medical data, calculates a hash value generated according to the transaction processing, and reflects the calculated hash value to block Steps to create a chain based transaction block
Medical data transaction method using a medical data transaction system comprising a. The method of claim 10,
The step of generating the transaction block
Receiving a purchase request signal from at least one purchaser terminal in the interface unit;
Extracting, as the medical data corresponding to the purchase request signal, medical data having a similarity value within a predetermined error range from purchase information included in the purchase request signal among the stored medical data in the chain core processing unit;
Performing the transaction processing on the extracted medical data by the chain core processing unit;
Calculating a hash value generated according to the transaction processing in the chain core processing unit, and generating the blockchain-based transaction block by reflecting the calculated hash value and
Receiving and storing the calculated hash value in the chain data processing unit
Medical data transaction method using a medical data transaction system further comprising a.

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