WO2019148248A1 - Personal record repository arrangement and method for incentivised data analytics - Google Patents

Personal record repository arrangement and method for incentivised data analytics Download PDF

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Publication number
WO2019148248A1
WO2019148248A1 PCT/AU2019/050077 AU2019050077W WO2019148248A1 WO 2019148248 A1 WO2019148248 A1 WO 2019148248A1 AU 2019050077 W AU2019050077 W AU 2019050077W WO 2019148248 A1 WO2019148248 A1 WO 2019148248A1
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WO
WIPO (PCT)
Prior art keywords
records
user
processing system
verified
database
Prior art date
Application number
PCT/AU2019/050077
Other languages
French (fr)
Inventor
Ian Arvind VARUGHESE
Original Assignee
Varughese Ian Arvind
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from AU2018900332A external-priority patent/AU2018900332A0/en
Application filed by Varughese Ian Arvind filed Critical Varughese Ian Arvind
Publication of WO2019148248A1 publication Critical patent/WO2019148248A1/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
    • G06F21/6254—Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • G06F21/6272—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database by registering files or documents with a third party
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/64—Protecting data integrity, e.g. using checksums, certificates or signatures
    • G06F21/645—Protecting data integrity, e.g. using checksums, certificates or signatures using a third party
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/26—Government or public services
    • G06Q50/265—Personal security, identity or safety
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3236—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2137—Time limited access, e.g. to a computer or data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees

Definitions

  • This invention relates to the field of secured personal record storage and data analytics, in general. More specifically, the current invention relates to a personal record repository arrangement and associated method for incentivised data analytics.
  • Applicant has identified a shortcoming in the field of personal records and data analytics, particularly issues that arise from incorrect, inadequate, or incomplete personal data records for individuals.
  • a root cause of the problem is that data controlled by individuals can be manually affected by them and therefore can't be trusted by external third parties, particularly those without a personal relationship to the individual .
  • a further problem that has affected many organisations, governments, and individuals is that granular health data is not publicly available due to the primary owner, i.e. the patient, having very little incentive to make such personal records publicly available.
  • the patient typically also has significant and reasonable reservations and concerns about making such personal records available, due to reasons of security (data could be hacked and altered) and privacy (data could be made public by other parties without the consent of the owner) .
  • a 'personal record' may refer to any suitable record associated with a legal person, including a natural person (living or deceased) and/or a juristic person, i.e. persona ficta, and may include a human being, a company, a corporation, a trust, a partnership, etc.
  • a personal record refers to a medical record of a natural person, but is expressly not limited only to such records and may include reference to any other types of suitable personal record of any legal person, e.g. financial records, insurance records, education records, qualification records, real estate records, trading records, etc.
  • a blockchain is a distributed electronic ledger which is a publicly or privately accessible database that maintains a continuously-growing list of electronic data records hardened against tampering and revision.
  • a blockchain typically consists of data structure blocks with each block holding batches of individual transactions. Each block contains a timestamp and information linking it to a previous block, typically via a hash of the prior block. The linked blocks form a chain, with each additional block reinforcing those before it.
  • a blockchain is peer-to-peer over an open or private communications network, such as the Internet or private network, where every authorised user on the network is allowed to connect to the blockchain ledger, send new transactions to it, verify transactions, and create new blocks or immutable records .
  • a 'GUI' refers to a Graphical User Interface, being a user interface that allows a user to interact with an electronic device, processing or computing system through manipulation of graphical icons, visual indicators, text-based typed command labels and/or text navigation, including primary and/or secondary notations, as is known in the art of computer science .
  • a personal records repository arrangement for incentivised data analytics comprising: a management processing system having a personal records database and a catalogue database; and
  • At least one trusted data processing system having a verified records database
  • management and trusted data processing systems are operatively arranged in signal communication via a communications network incorporating a blockchain, said management processing system configured to:
  • GUI Graphical User Interface
  • a research processing system is able to selectively access the catalogue database and/or the blockchain to search for particular types of verified records for data analytics, the management processing system being configured to notify the user, via the GUI, if the research processing system requests access to specific verified records identified by the blockchain identifier.
  • the management processing system is configured to notify the user of an access request upon receipt of a monetary reward tender from the research processing system.
  • the monetary reward tender includes a cryptocurrency .
  • the management processing system is configured to allow the research processing system access to the specific verified records identified by the blockchain identifier for a limited period of time.
  • the management processing system is configured to credit the user profile with at least a portion of the tendered monetary reward when the approval for access is received.
  • the personal records database, the catalogue database, and the verified records database comprise health records databases based on the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications.
  • HL7 standards are produced by Health Level Seven International, an international standards organization, and are adopted by other standards issuing bodies such as American National Standards Institute and International Organization for Standardization.
  • the verified records database comprises health records entered therein by, or obtained from, medical professionals, doctors, hospitals, clinicians, laboratories, etc .
  • the management processing system is configured to correlate specific verified records as uniquely identified by the user profile through a name of the user, a driver's licence number of the user, a medical identifier of the user, e.g. Medicare number, a social security number of the user, an identity number of the user, etc.
  • the management processing system is configured to anonymously catalogue verified records in the catalogue database by removing all identifying details of the user from the records.
  • the management processing system is configured to anonymously catalogue verified records in the catalogue database according to medical condition, treatment type, symptoms, date of diagnosis, date of test, diagnosing physician, location of diagnosis, geographic area of diagnosis, etc.
  • the management processing system is configured to delete the correlated specific verified records from the user profile so that the correlated verified user profile is solely stored in the blockchain.
  • a personal records repository method for incentivised data analytics comprising the steps of :
  • GUI Graphical User Interface
  • interfacing via a communications network incorporating a blockchain, with at least one trusted data processing system having a verified records database to correlate specific verified records uniquely identified by the user profile to said user profile to produce a correlated verified user profile ;
  • the method includes the step of notifying the user of an access request upon receipt of a monetary reward tender from the research processing system.
  • the monetary reward tender includes a cryptocurrency .
  • the method includes the step of allowing the research processing system access to the specific verified records identified by the blockchain identifier for a limited period of time.
  • the method includes the step of crediting the user profile with at least a portion of the tendered monetary reward when the approval for access is received from the user.
  • the personal records database, the catalogue database, and the verified records database comprise health records databases based on the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications.
  • the verified records database comprises health records entered therein by, or obtained from, medical professionals, doctors, hospitals, clinicians, laboratories, etc .
  • the method includes the step of correlating specific verified records as uniquely identified by the user profile through a name of the user, a driver' s licence number of the user, a medical identifier of the user, e.g. Medicare number, a social security number of the user, an identity number of the user, etc.
  • the method includes the step of anonymously cataloguing verified records in the catalogue database by removing all identifying details of the user from the records .
  • the method includes the step of anonymously cataloguing verified records in the catalogue database according to medical condition, treatment type, symptoms, date of diagnosis, date of test, diagnosing physician, location of diagnosis, geographic area of diagnosis, etc.
  • the method includes the step of deleting the correlated specific verified records from the user profile so that the correlated verified user profile is solely stored in the blockchain.
  • a computer programme product for operative execution by at least one processing system, said computer programme product configured to enable performance of the method in accordance with the second aspect of the invention.
  • FIG. 1 is a diagrammatic overview representation of one embodiment of personal records repository arrangement for incentivised data analytics, in accordance with an aspect of the invention
  • Figure 2 illustrates a functional block diagram of an example processing system that can be utilised to embody or give effect to a particular embodiment of the various processing systems or a user terminal of the arrangement of Figure 1;
  • Figure 3 illustrates an example network infrastructure that can be utilised to embody or give effect to a particular embodiment of the personal records repository arrangement for incentivised data analytics including a suitable communications network to form an embodiment of the arrangement of Figure 1;
  • Figure 4 is a diagrammatic representation of method steps for a personal records repository method for incentivised data analytics, in accordance with an aspect of the invention.
  • An embodiment of the arrangement 10 generally comprises a management processing system 12, at least one (typically a plurality) of trusted data processing systems 18, a communications network 22 which incorporates a blockchain (diagrammatically indicated by reference numeral 24), at least one user 25 interacting with the arrangement 10 by means of a suitable terminal 26, and a research processing system 30.
  • the user 25 may comprise any legal person, as relevant.
  • the management processing system 12 generally includes a personal records database 14 and a catalogue database 16. Each trusted data processing system 18 also includes a verified records database 20.
  • the personal records database 14, the catalogue database 16, and the verified records database 20 may comprise respective health records databases based on, for example, the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications.
  • the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications may comprise respective health records databases based on, for example, the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications.
  • other types of databases and/or standards for storage of various types of personal records are possible and within the scope of the present invention.
  • the verified records database 20 comprises health records entered therein by, or obtained from, medical professionals, doctors, hospitals, clinicians, laboratories, etc.
  • health records are seen as 'verified' as they are typically obtained from a source of truth, albeit a diagnosing physician, a medical laboratory, a hospital, etc. and are thus indicative of a personal health of a user 25.
  • other sources of truth as a verified records database 20 is possible, such as financial institutions, tax institutions, government record-keeping bodies, educational institutions, etc., as will be appreciated by the skilled addressee.
  • the management and trusted data processing systems 12 and 18 are operatively arranged in signal communication via the communications network 22 incorporating the blockchain 24.
  • the management processing system 12 is then generally configured to provide, via the network 22, a Graphical User Interface (GUI) 28 to a terminal 26 of a user 25 whereby the user 25 is able to register a user profile on the personal records database 14.
  • GUI Graphical User Interface
  • a user profile typically includes information able to uniquely identify the user 25, such as a name of the user, credit card information, a driver' s licence number of the user, a medical identifier of the user, e.g. Medicare number, a social security number of the user, an identity number of the user, etc.
  • the management processing system 12 is configured to interface with the trusted data processing system(s) 18 to correlate specific verified records uniquely identified by the user profile to that user's profile to produce a correlated verified user profile.
  • Such correlation typically means to bring into mutual or reciprocal relation, or establish in orderly connection, a suitable relational connection between the user' s profile and records stored in any of the verified records databases, as is known in the art of relational databases.
  • databases may be used, such as distributed databases, document stores, non-relational (NoSQL) databases, etc.
  • such correlation may be based on one or more of a user's name, credit card information, Medicare number, driver's licence number, identity number, etc.
  • the management processing system 12 may provide such unique user identifiers to the trusted data processing systems 18 to uniquely identify records related to that particular user. Once such records have been identified, the user's profile in the personal records database 16 can be populated with such records .
  • the management processing system 12 is then generally also configured to anonymously catalogue such verified records so correlated in the catalogue database 16.
  • the catalogue database 16 may be similarly populated with granular data related to overall health records without any identifying information for any user 25.
  • the management processing system 12 is configured to anonymously catalogue verified records in the catalogue database according to medical condition, treatment type, symptoms, date of diagnosis, date of test, diagnosing physician, location of diagnosis, geographic area of diagnosis, etc.
  • Various levels of granularity of such personal records are possible, depending on record or data type, and are within the scope of the present invention.
  • the management processing system 12 may further be configured to update the personal profile and related personal records of the user 25 by periodically and/or automatically interfacing with the trusted data processing system (s) 18 to verify that the personal records of the user' s profile are up-to-date and include recent records. Such updating may involve input from the user, typically via the GUI, and/or it may be done independently .
  • the management processing system 12 is further configured to anonymise and record the correlated verified user profile in the blockchain 24 against a blockchain identifier and assign the blockchain identifier to the user profile in the personal records database 14.
  • the management processing system 12 is also configured to anonymously catalogue verified records in the catalogue database by removing all identifying details of the user from the records.
  • the management processing system 12 is also configured to then delete the correlated specific verified records from the user profile so that the correlated verified user profile in the blockchain 24 is only identifiable via the blockchain identifier.
  • the management processing system 12 may have the management processing system 12 securely storing the correlated specific verified records as part of the user profile, or the like.
  • a research processing system 30 is able to access either the catalogue database 16 in the management processing system 12 and/or the blockchain 24 stored publicly on the network 22 to search for particular types of verified records for data analytics purposes at a granular level.
  • the management processing system 12 is configured to notify the user 25, via the GUI 28, if the research processing system 30 requests access to specific verified records identified by that user's blockchain identifier.
  • the management processing system is 12 is configured to notify the user of an access request by the research processing system 30 upon receipt of a monetary reward tender from the research processing system.
  • the monetary reward tender typically includes a cryptocurrency, but other forms of monetary reward may be tendered.
  • reference to a cryptocurrency includes reference to a digital currency in which encryption techniques are used to regulate the generation of units of currency and verify the transfer of funds, typically operating independently of a central bank.
  • conventional monetary rewards may be tendered, i.e. cash, credit, as well as reward programme-based rewards, and/or the like.
  • the management processing system 12 Upon receipt of approval for access from the user 25 via the GUI 28, the management processing system 12 is generally configured to allow the research processing system 30 access to the specific verified records identified by the blockchain identifier for a limited period of time. The management processing system 12 is also configured to credit the user profile with at least a portion of the tendered monetary reward when the approval for access is received from the user 25. In other embodiments, the management processing system 12 may receive a monetary reward from the research processing system 30, or the like.
  • This arrangement 10 provides an incentive in the form of a monetary reward to the user for taking an active and involved approach to said user's personal records.
  • FIG. 2 and 3 of the accompanying drawings there is shown a broad example of a processing system 100 that can be used, in different configurations as will be readily apparent to the skilled addressee, to implement the management processing system 12, the trusted data processing system 18, a suitable terminal 26, and the research processing system 30.
  • Figure 3 shown a broad example of a networked communications system 200 whereby the respective processing systems and terminals are arranged in signal communication .
  • any reference herein to "means” specifically includes any one or more of a computer program product for use in a local or dispersed computing system, a computer readable modulated carrier signal for interpretation by a local or dispersed computing system, or a computer readable medium of instructions for enabling a local or dispersed computing system to provide such "means" within the context of the description.
  • such “means” may further expressly comprise any of the hardware and/or software components, independently or in combination, provided for in the description below, as will be understood by the skilled addressee .
  • a terminal in general, in a networked information or data communications system, a user has access to one or more terminals which are capable of requesting and/or receiving information or data from local or remote information sources.
  • a terminal may be a type of processing system, computer or computerised device, personal computer (PC) , mobile, cellular or satellite telephone, mobile data terminal, portable computer, Personal Digital Assistant (PDA) , pager, thin client, or any other similar type of digital electronic device.
  • PC personal computer
  • PDA Personal Digital Assistant
  • a terminal may include or be associated with other devices, for example a local data storage device such as a hard disk drive or solid-state drive.
  • An information source can include a server, or any type of terminal, that may be associated with one or more storage devices that are able to store information or data, for example in one or more databases residing on a storage device.
  • the exchange of information i.e. the request and/or receipt of information or data
  • the communication means can be realised by physical cables, for example a metallic cable such as a telephone line, semi-conducting cables, electromagnetic signals, for example radio-frequency signals or infra-red signals, optical fibre cables, satellite links or any other such medium or combination thereof connected to a network infrastructure .
  • the network infrastructure can include devices such as a telephone switch, base station, bridge, router, or any other such specialised network component, which facilitates the connection between a terminal and an information source.
  • devices such as a telephone switch, base station, bridge, router, or any other such specialised network component, which facilitates the connection between a terminal and an information source.
  • the network itself may take a variety of forms.
  • it may be a computer network, telecommunications network, data communications network, Local Area Network (LAN) , Wide Area Network (WAN) , wireless network, Internetwork, Intranetwork, the Internet and developments thereof, transient or temporary networks, combinations of the above or any other type of network providing for communication between computerised, electronic or digital devices.
  • LAN Local Area Network
  • WAN Wide Area Network
  • wireless network Internetwork, Intranetwork, the Internet and developments thereof, transient or temporary networks, combinations of the above or any other type of network providing for communication between computerised, electronic or digital devices.
  • More than one distinct network can be provided, for example a private and a public network.
  • a network as referenced in this specification should be taken to include any type of terminal or other similar type of electronic device, or part thereof, which is rendered such that it is capable of communicating with at least one other terminal.
  • Hyper-Text Mark-Up Language HTML
  • HTTP Hyper-Text Transfer Protocol
  • HTML Hyper-Text Mark-Up Language
  • HTTP Hyper-Text Transfer Protocol
  • HTML Hyper-Text Transfer Protocol
  • WWW World Wide Web
  • the links are defined using HTML which provides a document formatting method which adapts in a consistent manner to any computer on which it is displayed.
  • HTML tags are used to define various components of text, visual or audio which make up a hyper-text document, including such things as formatting and linking to other documents. HTML tags which link documents on one Internet information source to those on another do so by associating a Uniform Resource Locator (URL) with the referenced information.
  • URL Uniform Resource Locator
  • the Internet which often serves as an enabling part of communications network 20, is the large-scale interconnection of public and private networks.
  • a proxy is a host computer or mechanism (usually an application program) on a network node or terminal which performs specialised functions on a network.
  • One such function is to provide network security, or to store or cache recently accessed information, for example copies of documents and images.
  • the processing system 100 generally includes at least one processor 102, or processing unit or plurality of processors, memory 104, at least one input device 106 and at least one output device 108, coupled together via a bus or group of buses 110.
  • input device 106 and output device 108 could be the same device, e.g. a touchscreen.
  • An interface 112 can also be provided for coupling the processing system 100 to one or more peripheral devices, for example interface 112 could be a PCI card or PC card.
  • At least one storage device 114 which houses at least one database 116 can also be provided.
  • the memory 104 can be any form of memory device, for example, volatile or non-volatile memory, solid state storage devices, magnetic devices, etc.
  • the processor 102 could include more than one distinct processing device, for example to handle different functions within the processing system 100.
  • Input device 106 receives input data 118 and can include, for example, a keyboard, a pointer device such as a pen-like device or a mouse, audio receiving device for voice- controlled activation such as a microphone, data receiver or antenna such as a modem or wireless data adaptor, data acquisition card, a touchscreen for receiving tactile input, etc.
  • Input data 118 could come from different sources, for example keyboard instructions in conjunction with data received via a network, or a dedicated global navigation satellite system (GNNS) sensor, as is known in the art, or the like.
  • GNNS global navigation satellite system
  • Output device 108 produces or generates output data 120 and can include, for example, a display device or monitor in which case output data 120 is visual, a printer in which case output data 120 is printed, a port for example a USB port, a peripheral component adaptor, a data transmitter or antenna such as a modem or wireless network adaptor, etc.
  • Output data 120 could be distinct and derived from different output devices, for example a visual display on a monitor in conjunction with data transmitted to a network.
  • a user could view data output, or an interpretation of the data output, on, for example, a touchscreen, a monitor or using a printer.
  • the storage device 114 can be any form of data or information storage means, for example, volatile or non-volatile memory, solid state storage devices, magnetic devices, etc.
  • the processing system 100 is adapted to allow data or information to be stored in and/or retrieved from, via wired or wireless communication means, the at least one database 116.
  • the interface 112 may allow wired and/or wireless communication between the processing unit 102 and peripheral components that may serve a specialised purpose.
  • the processor 102 receives instructions as input data 118 via input device 106 and can display processed results or other output to a user by utilising output device 108. More than one input device 106 and/or output device 108 can be provided. It should be appreciated that the processing system 100 may be any form of terminal, server, specialised hardware, or the like .
  • processing system 100 is generally part of a networked communications system 200, as shown in Figure 3.
  • Processing system 100 could connect to network 202, for example the Internet or a WAN.
  • Input data 118 and output data 120 could be communicated to other devices via network 202.
  • Other terminals for example, thin client 204, further processing systems 206 and 208, notebook computer 210, mainframe computer 212, PDA 214, pen-based computer 216, server 218, etc., can be connected to network 202.
  • a large variety of other types of terminals or configurations could be utilised.
  • the transfer of information and/or data over network 202 can be achieved using wired communications means 220 or wireless communications means 222.
  • Server 218 can facilitate the transfer of data between network 202 and one or more databases 224.
  • Server 218 and one or more databases 224 provide an example of the management processing system 12, or the like ..
  • telecommunications network 230 could facilitate the transfer of data between network 202 and mobile or cellular telephone 232 or a PDA-type device 234, by utilising wireless communication means 236 and receiving/transmitting station 238.
  • Satellite communications network 240 could communicate with satellite signal receiver 242 which receives data signals from satellite 244 which in turn is in remote communication with satellite signal transmitter 246.
  • Terminals for example further processing system 248, notebook computer 250 or satellite telephone 252, can thereby communicate with network 202.
  • a local network 260 which for example may be a private network, LAN, etc., may also be connected to network 202.
  • network 202 could be connected with Ethernet 262 which connects terminals 264, server 266 which controls the transfer of data to and/or from database 268, and printer 270.
  • Various other types of networks could be utilised.
  • the processing system 100 is adapted to communicate with other terminals, for example further processing systems 206, 208, by sending and receiving data, 118, 120, to and from the network 202, thereby facilitating possible communication with other components of the networked communications system 200.
  • the networks 202, 230, 240 may form part of, or be connected to, the Internet, in which case, the terminals 206, 212, 218, for example, may be web servers, Internet terminals or the like.
  • the networks 202, 230, 240, 260 may be or form part of other communication networks, such as LAN, WAN, Ethernet, token ring, FDDI ring, star, etc., networks, or mobile telephone networks, such as GSM, CDMA or 3G, etc., networks, and may be wholly or partially wired, including for example optical fibre, or wireless networks, depending on a particular implementation.
  • other communication networks such as LAN, WAN, Ethernet, token ring, FDDI ring, star, etc.
  • mobile telephone networks such as GSM, CDMA or 3G, etc.
  • the management processing system 12, the trusted data processing system 18, a suitable terminal 26, and the research processing system 30 are generally realised by some suitable version of the processing system 100, as described above, and networked together to perform the functions and provide the features broadly described herein.
  • the arrangement 10 provides a platform for individuals and organisations (including governments) to interact with large stores of personal records and information with the confidence that the data has not been tampered with, relates to a specific user or individual at the most granular level, and has been issued by a trusted (certified & qualified where applicable) source.
  • a trusted certified & qualified where applicable
  • users of the arrangement 10 can have the confidence that their information is safe and anonymous, and that the data is trustworthy as it originated from a trusted third party.
  • the arrangement 10 addresses this problem by enabling a highly specific search ability on the catalogue database 16 and/or the blockchain 24 to filter and to see how many records are relevant to a particular search query.
  • the arrangement 10 then gives the research and development organisation an option of contacting the user directly, subsequently saving the organisation some money, and earning the user a financial incentive.
  • the arrangement 10 allows a government to see the number of individual clinical issues that have occurred within a given time period, allowing for more efficient allocation of funds, whilst also being able to deliver better health outcomes (arising from the universal experience of better data leading to better decisions) .
  • the method 300 typically comprises the steps of providing 302, via the management processing system 12, the Graphical User Interface (GUI) 28 to a terminal 26 of a user 25, whereby the user 25 is able to register a user profile on the personal records database 14.
  • the method 300 then includes the step of interfacing 304, via the communications network 22 incorporating the blockchain 24, with at least one trusted data processing system 18 having the verified records database 20 to correlate specific verified records uniquely identified by the user profile to said user profile to produce a correlated verified user profile.
  • the method 300 further includes the steps of anonymously cataloguing 306 verified records correlated in the catalogue database 16, anonymising and recording 306 the correlated verified user profile in the blockchain 24 against a blockchain identifier, and assigning 308 the blockchain identifier to the user profile in the personal records database 14.
  • the method 300 further includes the steps of deleting 310 the correlated specific verified records from the user profile so that the correlated verified user profile in the blockchain 24 is only identifiable via the blockchain identifier, and if the research processing system 30 requests access 312 to specific verified records identified by the blockchain identifier, notifying 314 the user 25 via the GUI 28.
  • the method 300 typically includes a step of notifying the user of an access request upon receipt of a monetary reward tender from the research processing system 30.
  • the method 300 may include the step of allowing the research processing system 30 access to the specific verified records identified by the blockchain identifier for a limited period of time.
  • the method 300 may further include a step of crediting the user profile with at least a portion of the tendered monetary reward when the approval for access is received from the user.
  • Optional embodiments of the present invention may also be said to broadly consist in the parts, elements and features referred to or indicated herein, individually or collectively, in any or all combinations of two or more of the parts, elements or features, and wherein specific integers are mentioned herein which have known equivalents in the art to which the invention relates, such known equivalents are deemed to be incorporated herein as if individually set forth.
  • well-known processes, well-known device structures, and well-known technologies are not described in detail, as such will be readily understood by the skilled addressee .
  • one example may exemplify certain aspects of the invention, whilst other aspects are exemplified in a different example.
  • These examples are intended to assist the skilled person in performing the invention and are not intended to limit the overall scope of the invention in any way unless the context clearly indicates otherwise.
  • Variations (e.g. modifications and/or enhancements) of one or more embodiments described herein might become apparent to those of ordinary skill in the art upon reading this application. The inventor (s) expects skilled artisans to employ such variations as appropriate, and the inventor (s) intends for the claimed subject matter to be practiced other than as specifically described herein.

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Abstract

This invention relates to the field of secured personal record storage and data analytics. In particular, the current invention relates to a personal record repository arrangement and associated method for incentivised data analytics. The arrangement comprises a management processing system having a personal records database and a catalogue database, and at least one trusted data processing system having a verified records database wherein the management and trusted data processing systems are operatively arranged in signal communication via a communications network incorporating a blockchain. Further, a research processing system is able to selectively access the catalogue database and/or the blockchain to search for particular types of verified records for data analytics, the management processing system being configured to notify the user if the research processing system requests access to specific verified records identified by the blockchain identifier.

Description

PERSONAL RECORD REPOSITORY ARRANGEMENT AND
METHOD FOR INCENTIVISED DATA ANALYTICS
TECHNICAL FIELD
[0001] This invention relates to the field of secured personal record storage and data analytics, in general. More specifically, the current invention relates to a personal record repository arrangement and associated method for incentivised data analytics.
BACKGROUND ART
[0002] The following discussion of the background art is intended to facilitate an understanding of the present invention only. The discussion is not an acknowledgement or admission that any of the material referred to is or was part of the common general knowledge as at the priority date of the application .
[0003] Applicant has identified a shortcoming in the field of personal records and data analytics, particularly issues that arise from incorrect, inadequate, or incomplete personal data records for individuals. A root cause of the problem is that data controlled by individuals can be manually affected by them and therefore can't be trusted by external third parties, particularly those without a personal relationship to the individual .
[0004] An ancillary effect hereof is that such personal or sensitive data is generally securely held and mostly hidden, so it is not widely accessible, which may dramatically reduce supply where demand for such personal records might be high. For example, access to health records and data is often necessary in the treatment of patients, but such records are not generally readily available due to their personal or sensitive nature. In addition, the problem is exacerbated as there is very little incentive for an individual to exert the requisite extra effort required to be involved and control their personal records or data.
[ 0005 ] Currently, individuals generally have multiple physical health records stored at doctors, hospitals, and related health care providers that the individual has visited in the past. Due to the sensitivity of such health records, they are generally not shared or made openly available to interested parties. In particular, the most critical owner of the data, i.e. the patient, has historically had the least involvement with their own medical records.
[ 0006 ] If patients are not involved or in control of their personal records and data, the data generally cannot be leveraged to its full potential. Specifically, areas that have been affected by this low quality of available data include medical research and development, government reporting and government spending. For example, a lot of estimation is involved in preparing health-related public spending, and when individual episodes of care can cost thousands of dollars, such inaccurate estimation can severely affect an entire national budget.
[ 0007 ] Similarly, on a smaller scale, given the increasing cost of healthcare, many people are increasingly turning to online resources in attempts to self-diagnose medical conditions. One problem here is that the data sources available online are invariably the opinions of strangers or due to circumstances unique to each person, making the information untrustworthy. So, while a search on the internet may yield a lot of search results, there are very few results that could (or should) be trusted.
[0008] A further problem that has affected many organisations, governments, and individuals is that granular health data is not publicly available due to the primary owner, i.e. the patient, having very little incentive to make such personal records publicly available. In addition, the patient typically also has significant and reasonable reservations and concerns about making such personal records available, due to reasons of security (data could be hacked and altered) and privacy (data could be made public by other parties without the consent of the owner) .
[0009] Currently, getting access to medical records on a personal level are generally done by web searches, personal anecdotes, or making an appointment with a doctor or going to the emergency room for clinical assessment. Similarly, research and development organisations typically engage aggregators (or clinicians directly) to find patients matching their required criteria before they can even pose the question to the patient of being involved in data analytics around research and development activities. A problem with this is that the search is limited to people or organisations that the R&D organisation knows or can become aware of.
[0010] Similarly, governments are currently relying on the reports provided by hospitals. These reports are invariably instances of the government wanting certain data and providers trying to contort their IT systems and data to provide a suitable report to the government in order to receive the funding they request. The difficulty in applying proper data analysis to seemingly infinitely variable data along with the manipulation involved in the reports produced generally means that government reports often contain approximate answers to the specific questions asked, and problems lying outside the scope of the questions asked can remain unaddressed or unidentified.
[ 0011 ] The current invention was conceived with these shortcomings in mind.
SUMMARY OF THE INVENTION
[ 0012 ] It is to be appreciated that reference herein to a 'personal record' may refer to any suitable record associated with a legal person, including a natural person (living or deceased) and/or a juristic person, i.e. persona ficta, and may include a human being, a company, a corporation, a trust, a partnership, etc. In one embodiment described herein, a personal record refers to a medical record of a natural person, but is expressly not limited only to such records and may include reference to any other types of suitable personal record of any legal person, e.g. financial records, insurance records, education records, qualification records, real estate records, trading records, etc.
[ 0013 ] As will be understood by the skilled addressee, a blockchain is a distributed electronic ledger which is a publicly or privately accessible database that maintains a continuously-growing list of electronic data records hardened against tampering and revision. A blockchain typically consists of data structure blocks with each block holding batches of individual transactions. Each block contains a timestamp and information linking it to a previous block, typically via a hash of the prior block. The linked blocks form a chain, with each additional block reinforcing those before it. A blockchain is peer-to-peer over an open or private communications network, such as the Internet or private network, where every authorised user on the network is allowed to connect to the blockchain ledger, send new transactions to it, verify transactions, and create new blocks or immutable records .
[0014] It is also to be understood that reference herein to a 'GUI' refer to a Graphical User Interface, being a user interface that allows a user to interact with an electronic device, processing or computing system through manipulation of graphical icons, visual indicators, text-based typed command labels and/or text navigation, including primary and/or secondary notations, as is known in the art of computer science .
[0015] According to one aspect of the invention there is provided a personal records repository arrangement for incentivised data analytics, said arrangement comprising: a management processing system having a personal records database and a catalogue database; and
at least one trusted data processing system having a verified records database;
wherein the management and trusted data processing systems are operatively arranged in signal communication via a communications network incorporating a blockchain, said management processing system configured to:
a) provide, via the network, a Graphical User Interface (GUI) to a terminal of a user whereby the user is able to register a user profile on the personal records database ;
b) interface with the trusted data processing system to correlate specific verified records uniquely identified by the user profile to said user profile to produce a correlated verified user profile;
c) anonymously catalogue verified records so correlated in the catalogue database; and
d) anonymise and record the correlated verified user profile in the blockchain against a blockchain identifier and assign the blockchain identifier to the user profile in the personal records database, so that the correlated verified user profile in the blockchain is only identifiable via the blockchain identifier;
so that, in use, a research processing system is able to selectively access the catalogue database and/or the blockchain to search for particular types of verified records for data analytics, the management processing system being configured to notify the user, via the GUI, if the research processing system requests access to specific verified records identified by the blockchain identifier.
[0016] Typically, the management processing system is configured to notify the user of an access request upon receipt of a monetary reward tender from the research processing system.
[0017] Typically, the monetary reward tender includes a cryptocurrency .
[0018] Typically, upon receipt of approval for access from the user via the GUI, the management processing system is configured to allow the research processing system access to the specific verified records identified by the blockchain identifier for a limited period of time.
[0019] Typically, the management processing system is configured to credit the user profile with at least a portion of the tendered monetary reward when the approval for access is received.
[0020] Typically, the personal records database, the catalogue database, and the verified records database comprise health records databases based on the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications. The skilled addressee will appreciate that the HL7 standards are produced by Health Level Seven International, an international standards organization, and are adopted by other standards issuing bodies such as American National Standards Institute and International Organization for Standardization.
[0021] Typically, the verified records database comprises health records entered therein by, or obtained from, medical professionals, doctors, hospitals, clinicians, laboratories, etc .
[0022] Typically, the management processing system is configured to correlate specific verified records as uniquely identified by the user profile through a name of the user, a driver's licence number of the user, a medical identifier of the user, e.g. Medicare number, a social security number of the user, an identity number of the user, etc.
[0023] Typically, the management processing system is configured to anonymously catalogue verified records in the catalogue database by removing all identifying details of the user from the records.
[0024] In one embodiment, the management processing system is configured to anonymously catalogue verified records in the catalogue database according to medical condition, treatment type, symptoms, date of diagnosis, date of test, diagnosing physician, location of diagnosis, geographic area of diagnosis, etc.
[0025] In an embodiment, the management processing system is configured to delete the correlated specific verified records from the user profile so that the correlated verified user profile is solely stored in the blockchain.
[0026] According to a second aspect of the invention there is provided a personal records repository method for incentivised data analytics, said method comprising the steps of :
providing, via a management processing system having a personal records database and a catalogue database, a Graphical User Interface (GUI) to a terminal of a user whereby the user is able to register a user profile on the personal records database;
interfacing, via a communications network incorporating a blockchain, with at least one trusted data processing system having a verified records database to correlate specific verified records uniquely identified by the user profile to said user profile to produce a correlated verified user profile ;
anonymously cataloguing verified records correlated in the catalogue database; and anonymising and recording the correlated verified user profile in the blockchain against a blockchain identifier and assigning the blockchain identifier to the user profile in the personal records database, so that the correlated verified user profile in the blockchain is only identifiable via the blockchain identifier; and
if a research processing system requests access to specific verified records identified by the blockchain identifier, notifying the user via the GUI.
[0027] Typically, the method includes the step of notifying the user of an access request upon receipt of a monetary reward tender from the research processing system.
[0028] Typically, the monetary reward tender includes a cryptocurrency .
[0029] Typically, upon receipt of approval for access from the user via the GUI, the method includes the step of allowing the research processing system access to the specific verified records identified by the blockchain identifier for a limited period of time.
[0030] Typically, the method includes the step of crediting the user profile with at least a portion of the tendered monetary reward when the approval for access is received from the user.
[0031] Typically, the personal records database, the catalogue database, and the verified records database comprise health records databases based on the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications. [0032] Typically, the verified records database comprises health records entered therein by, or obtained from, medical professionals, doctors, hospitals, clinicians, laboratories, etc .
[0033] Typically, the method includes the step of correlating specific verified records as uniquely identified by the user profile through a name of the user, a driver' s licence number of the user, a medical identifier of the user, e.g. Medicare number, a social security number of the user, an identity number of the user, etc.
[0034] Typically, the method includes the step of anonymously cataloguing verified records in the catalogue database by removing all identifying details of the user from the records .
[0035] In one embodiment, the method includes the step of anonymously cataloguing verified records in the catalogue database according to medical condition, treatment type, symptoms, date of diagnosis, date of test, diagnosing physician, location of diagnosis, geographic area of diagnosis, etc.
[0036] In an embodiment, the method includes the step of deleting the correlated specific verified records from the user profile so that the correlated verified user profile is solely stored in the blockchain.
[0037] According to a further aspect of the invention, there is provided a computer programme product for operative execution by at least one processing system, said computer programme product configured to enable performance of the method in accordance with the second aspect of the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
The description will be made with reference to the accompanying drawings in which:
Figure 1 is a diagrammatic overview representation of one embodiment of personal records repository arrangement for incentivised data analytics, in accordance with an aspect of the invention;
Figure 2 illustrates a functional block diagram of an example processing system that can be utilised to embody or give effect to a particular embodiment of the various processing systems or a user terminal of the arrangement of Figure 1;
Figure 3 illustrates an example network infrastructure that can be utilised to embody or give effect to a particular embodiment of the personal records repository arrangement for incentivised data analytics including a suitable communications network to form an embodiment of the arrangement of Figure 1; and
Figure 4 is a diagrammatic representation of method steps for a personal records repository method for incentivised data analytics, in accordance with an aspect of the invention.
DETAILED DESCRIPTION OF EMBODIMENTS
[0038] Further features of the present invention are more fully described in the following description of several non- limiting embodiments thereof. This description is included solely for the purposes of exemplifying the present invention to the skilled addressee. It should not be understood as a restriction on the broad summary, disclosure or description of the invention as set out above. In the figures, incorporated to illustrate features of the example embodiment or embodiments, like reference numerals are used to identify like parts throughout.
[0039] With reference now firstly to Figure 1 of the accompanying drawings, there is shown one broad embodiment of a personal records repository arrangement 10 for incentivised data analytics.
[0040] An embodiment of the arrangement 10 generally comprises a management processing system 12, at least one (typically a plurality) of trusted data processing systems 18, a communications network 22 which incorporates a blockchain (diagrammatically indicated by reference numeral 24), at least one user 25 interacting with the arrangement 10 by means of a suitable terminal 26, and a research processing system 30. As described herein, the user 25 may comprise any legal person, as relevant.
[0041] The management processing system 12 generally includes a personal records database 14 and a catalogue database 16. Each trusted data processing system 18 also includes a verified records database 20.
[0042] In one embodiment, the personal records database 14, the catalogue database 16, and the verified records database 20 may comprise respective health records databases based on, for example, the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications. However, it is to be appreciated that other types of databases and/or standards for storage of various types of personal records are possible and within the scope of the present invention.
[ 0043 ] Typically, the verified records database 20 comprises health records entered therein by, or obtained from, medical professionals, doctors, hospitals, clinicians, laboratories, etc. For example, such health records are seen as 'verified' as they are typically obtained from a source of truth, albeit a diagnosing physician, a medical laboratory, a hospital, etc. and are thus indicative of a personal health of a user 25. In other embodiments, other sources of truth as a verified records database 20 is possible, such as financial institutions, tax institutions, government record-keeping bodies, educational institutions, etc., as will be appreciated by the skilled addressee.
[ 0044 ] As exemplified, the management and trusted data processing systems 12 and 18 are operatively arranged in signal communication via the communications network 22 incorporating the blockchain 24. The management processing system 12 is then generally configured to provide, via the network 22, a Graphical User Interface (GUI) 28 to a terminal 26 of a user 25 whereby the user 25 is able to register a user profile on the personal records database 14. As is understood in the art, such a user profile typically includes information able to uniquely identify the user 25, such as a name of the user, credit card information, a driver' s licence number of the user, a medical identifier of the user, e.g. Medicare number, a social security number of the user, an identity number of the user, etc. [0045] Once such a user profile has been created in the personal records database, the management processing system 12 is configured to interface with the trusted data processing system(s) 18 to correlate specific verified records uniquely identified by the user profile to that user's profile to produce a correlated verified user profile. Such correlation typically means to bring into mutual or reciprocal relation, or establish in orderly connection, a suitable relational connection between the user' s profile and records stored in any of the verified records databases, as is known in the art of relational databases. The skilled addressee will further appreciate that various types of databases may be used, such as distributed databases, document stores, non-relational (NoSQL) databases, etc.
[0046] For example, such correlation may be based on one or more of a user's name, credit card information, Medicare number, driver's licence number, identity number, etc. The management processing system 12 may provide such unique user identifiers to the trusted data processing systems 18 to uniquely identify records related to that particular user. Once such records have been identified, the user's profile in the personal records database 16 can be populated with such records .
[0047] The management processing system 12 is then generally also configured to anonymously catalogue such verified records so correlated in the catalogue database 16. For example, the catalogue database 16 may be similarly populated with granular data related to overall health records without any identifying information for any user 25. In one embodiment, the management processing system 12 is configured to anonymously catalogue verified records in the catalogue database according to medical condition, treatment type, symptoms, date of diagnosis, date of test, diagnosing physician, location of diagnosis, geographic area of diagnosis, etc. Various levels of granularity of such personal records are possible, depending on record or data type, and are within the scope of the present invention.
[0048] It is further to be appreciated that the management processing system 12 may further be configured to update the personal profile and related personal records of the user 25 by periodically and/or automatically interfacing with the trusted data processing system (s) 18 to verify that the personal records of the user' s profile are up-to-date and include recent records. Such updating may involve input from the user, typically via the GUI, and/or it may be done independently .
[0049] The management processing system 12 is further configured to anonymise and record the correlated verified user profile in the blockchain 24 against a blockchain identifier and assign the blockchain identifier to the user profile in the personal records database 14. The management processing system 12 is also configured to anonymously catalogue verified records in the catalogue database by removing all identifying details of the user from the records.
[0050] In this manner, the user's personal records, as stored anonymously in the blockchain 24, can be located and traced. In an embodiment, the management processing system 12 is also configured to then delete the correlated specific verified records from the user profile so that the correlated verified user profile in the blockchain 24 is only identifiable via the blockchain identifier. However, other embodiments may have the management processing system 12 securely storing the correlated specific verified records as part of the user profile, or the like.
[ 0051 ] In this manner, when the arrangement 10 is in use, a research processing system 30 is able to access either the catalogue database 16 in the management processing system 12 and/or the blockchain 24 stored publicly on the network 22 to search for particular types of verified records for data analytics purposes at a granular level. Importantly, the management processing system 12 is configured to notify the user 25, via the GUI 28, if the research processing system 30 requests access to specific verified records identified by that user's blockchain identifier.
[ 0052 ] Typically, the management processing system is 12 is configured to notify the user of an access request by the research processing system 30 upon receipt of a monetary reward tender from the research processing system. The monetary reward tender typically includes a cryptocurrency, but other forms of monetary reward may be tendered. In general, reference to a cryptocurrency includes reference to a digital currency in which encryption techniques are used to regulate the generation of units of currency and verify the transfer of funds, typically operating independently of a central bank. It is also to be appreciated that conventional monetary rewards may be tendered, i.e. cash, credit, as well as reward programme-based rewards, and/or the like.
[ 0053 ] Upon receipt of approval for access from the user 25 via the GUI 28, the management processing system 12 is generally configured to allow the research processing system 30 access to the specific verified records identified by the blockchain identifier for a limited period of time. The management processing system 12 is also configured to credit the user profile with at least a portion of the tendered monetary reward when the approval for access is received from the user 25. In other embodiments, the management processing system 12 may receive a monetary reward from the research processing system 30, or the like.
[0054] This arrangement 10 provides an incentive in the form of a monetary reward to the user for taking an active and involved approach to said user's personal records.
[0055] Referring now to Figures 2 and 3 of the accompanying drawings, there is shown a broad example of a processing system 100 that can be used, in different configurations as will be readily apparent to the skilled addressee, to implement the management processing system 12, the trusted data processing system 18, a suitable terminal 26, and the research processing system 30. Similarly, Figure 3 shown a broad example of a networked communications system 200 whereby the respective processing systems and terminals are arranged in signal communication .
[0056] It is to be appreciated that any reference herein to "means" specifically includes any one or more of a computer program product for use in a local or dispersed computing system, a computer readable modulated carrier signal for interpretation by a local or dispersed computing system, or a computer readable medium of instructions for enabling a local or dispersed computing system to provide such "means" within the context of the description. In addition, such "means" may further expressly comprise any of the hardware and/or software components, independently or in combination, provided for in the description below, as will be understood by the skilled addressee .
[0057] By way of background, in general, in a networked information or data communications system, a user has access to one or more terminals which are capable of requesting and/or receiving information or data from local or remote information sources. In such a communications system, a terminal may be a type of processing system, computer or computerised device, personal computer (PC) , mobile, cellular or satellite telephone, mobile data terminal, portable computer, Personal Digital Assistant (PDA) , pager, thin client, or any other similar type of digital electronic device.
[0058] The capability of such a terminal to request and/or receive information or data can be provided by software, hardware and/or firmware. A terminal may include or be associated with other devices, for example a local data storage device such as a hard disk drive or solid-state drive.
[0059] An information source can include a server, or any type of terminal, that may be associated with one or more storage devices that are able to store information or data, for example in one or more databases residing on a storage device. The exchange of information (i.e. the request and/or receipt of information or data) between a terminal and an information source, or other terminal (s), is facilitated by a communication means. The communication means can be realised by physical cables, for example a metallic cable such as a telephone line, semi-conducting cables, electromagnetic signals, for example radio-frequency signals or infra-red signals, optical fibre cables, satellite links or any other such medium or combination thereof connected to a network infrastructure .
[0060] The network infrastructure can include devices such as a telephone switch, base station, bridge, router, or any other such specialised network component, which facilitates the connection between a terminal and an information source. Collectively, an interconnected group of terminals, communication means, infrastructure and information sources is referred to as a network.
[0061] The network itself may take a variety of forms. For example, it may be a computer network, telecommunications network, data communications network, Local Area Network (LAN) , Wide Area Network (WAN) , wireless network, Internetwork, Intranetwork, the Internet and developments thereof, transient or temporary networks, combinations of the above or any other type of network providing for communication between computerised, electronic or digital devices.
[0062] More than one distinct network can be provided, for example a private and a public network. A network as referenced in this specification should be taken to include any type of terminal or other similar type of electronic device, or part thereof, which is rendered such that it is capable of communicating with at least one other terminal.
[0063] One example of facilitating communication across such networks, is the Hyper-Text Mark-Up Language (HTML) and Hyper-Text Transfer Protocol (HTTP) , and developments thereof, which have made the Internet or World Wide Web (WWW) very accessible. The exchange of information on the Internet is further facilitated through hyper-text documents. Hyper-Text documents are unique in that they use tags to define links which, when selected, retrieve the related information from within the same document or from a new document altogether.
[0064] The links are defined using HTML which provides a document formatting method which adapts in a consistent manner to any computer on which it is displayed. HTML tags are used to define various components of text, visual or audio which make up a hyper-text document, including such things as formatting and linking to other documents. HTML tags which link documents on one Internet information source to those on another do so by associating a Uniform Resource Locator (URL) with the referenced information. The skilled addressee will appreciate that other communication protocols may be used and are within the scope of the present invention.
[0065] The Internet, which often serves as an enabling part of communications network 20, is the large-scale interconnection of public and private networks. A proxy is a host computer or mechanism (usually an application program) on a network node or terminal which performs specialised functions on a network. One such function is to provide network security, or to store or cache recently accessed information, for example copies of documents and images.
[0066] In light of this background, the processing system 100 generally includes at least one processor 102, or processing unit or plurality of processors, memory 104, at least one input device 106 and at least one output device 108, coupled together via a bus or group of buses 110.
[0067] In certain embodiments, input device 106 and output device 108 could be the same device, e.g. a touchscreen. An interface 112 can also be provided for coupling the processing system 100 to one or more peripheral devices, for example interface 112 could be a PCI card or PC card. At least one storage device 114 which houses at least one database 116 can also be provided. The memory 104 can be any form of memory device, for example, volatile or non-volatile memory, solid state storage devices, magnetic devices, etc. The processor 102 could include more than one distinct processing device, for example to handle different functions within the processing system 100.
[0068] Input device 106 receives input data 118 and can include, for example, a keyboard, a pointer device such as a pen-like device or a mouse, audio receiving device for voice- controlled activation such as a microphone, data receiver or antenna such as a modem or wireless data adaptor, data acquisition card, a touchscreen for receiving tactile input, etc. Input data 118 could come from different sources, for example keyboard instructions in conjunction with data received via a network, or a dedicated global navigation satellite system (GNNS) sensor, as is known in the art, or the like. Output device 108 produces or generates output data 120 and can include, for example, a display device or monitor in which case output data 120 is visual, a printer in which case output data 120 is printed, a port for example a USB port, a peripheral component adaptor, a data transmitter or antenna such as a modem or wireless network adaptor, etc. Output data 120 could be distinct and derived from different output devices, for example a visual display on a monitor in conjunction with data transmitted to a network.
[0069] A user could view data output, or an interpretation of the data output, on, for example, a touchscreen, a monitor or using a printer. The storage device 114 can be any form of data or information storage means, for example, volatile or non-volatile memory, solid state storage devices, magnetic devices, etc.
[ 0070 ] In use, the processing system 100 is adapted to allow data or information to be stored in and/or retrieved from, via wired or wireless communication means, the at least one database 116. The interface 112 may allow wired and/or wireless communication between the processing unit 102 and peripheral components that may serve a specialised purpose. The processor 102 receives instructions as input data 118 via input device 106 and can display processed results or other output to a user by utilising output device 108. More than one input device 106 and/or output device 108 can be provided. It should be appreciated that the processing system 100 may be any form of terminal, server, specialised hardware, or the like .
[ 0071 ] As described, the processing system 100 is generally part of a networked communications system 200, as shown in Figure 3. Processing system 100 could connect to network 202, for example the Internet or a WAN. Input data 118 and output data 120 could be communicated to other devices via network 202. Other terminals, for example, thin client 204, further processing systems 206 and 208, notebook computer 210, mainframe computer 212, PDA 214, pen-based computer 216, server 218, etc., can be connected to network 202. A large variety of other types of terminals or configurations could be utilised.
[ 0072 ] The transfer of information and/or data over network 202 can be achieved using wired communications means 220 or wireless communications means 222. Server 218 can facilitate the transfer of data between network 202 and one or more databases 224. Server 218 and one or more databases 224 provide an example of the management processing system 12, or the like ..
[0073] Other networks may communicate with network 202. For example, telecommunications network 230 could facilitate the transfer of data between network 202 and mobile or cellular telephone 232 or a PDA-type device 234, by utilising wireless communication means 236 and receiving/transmitting station 238. Satellite communications network 240 could communicate with satellite signal receiver 242 which receives data signals from satellite 244 which in turn is in remote communication with satellite signal transmitter 246.
[0074] Terminals, for example further processing system 248, notebook computer 250 or satellite telephone 252, can thereby communicate with network 202. A local network 260, which for example may be a private network, LAN, etc., may also be connected to network 202. For example, network 202 could be connected with Ethernet 262 which connects terminals 264, server 266 which controls the transfer of data to and/or from database 268, and printer 270. Various other types of networks could be utilised.
[0075] The processing system 100 is adapted to communicate with other terminals, for example further processing systems 206, 208, by sending and receiving data, 118, 120, to and from the network 202, thereby facilitating possible communication with other components of the networked communications system 200. [ 0076 ] Thus, for example, the networks 202, 230, 240 may form part of, or be connected to, the Internet, in which case, the terminals 206, 212, 218, for example, may be web servers, Internet terminals or the like. The networks 202, 230, 240, 260 may be or form part of other communication networks, such as LAN, WAN, Ethernet, token ring, FDDI ring, star, etc., networks, or mobile telephone networks, such as GSM, CDMA or 3G, etc., networks, and may be wholly or partially wired, including for example optical fibre, or wireless networks, depending on a particular implementation.
[ 0077 ] Accordingly, in the manner described above, the management processing system 12, the trusted data processing system 18, a suitable terminal 26, and the research processing system 30 are generally realised by some suitable version of the processing system 100, as described above, and networked together to perform the functions and provide the features broadly described herein.
[ 0078 ] Applicant believes it particularly advantageous that the arrangement 10 provides a platform for individuals and organisations (including governments) to interact with large stores of personal records and information with the confidence that the data has not been tampered with, relates to a specific user or individual at the most granular level, and has been issued by a trusted (certified & qualified where applicable) source. By storing anonymised correlated verified user profiles on the blockchain 24, users of the arrangement 10 can have the confidence that their information is safe and anonymous, and that the data is trustworthy as it originated from a trusted third party. [0079] As described above, medical research and development organisations are perpetually facing issues in relation to finding the right patient, spending limited and highly scrutinised funds, and questioning if the data made available to them is, in fact, accurate and trustworthy. The arrangement 10 addresses this problem by enabling a highly specific search ability on the catalogue database 16 and/or the blockchain 24 to filter and to see how many records are relevant to a particular search query. The arrangement 10 then gives the research and development organisation an option of contacting the user directly, subsequently saving the organisation some money, and earning the user a financial incentive.
[0080] Similarly, in government reporting and spending research, the arrangement 10 allows a government to see the number of individual clinical issues that have occurred within a given time period, allowing for more efficient allocation of funds, whilst also being able to deliver better health outcomes (arising from the universal experience of better data leading to better decisions) .
[0081] With reference now to Figure 4 of the accompanying drawings, there is exemplified indicative method steps or method blocks of an associated personal records repository method 300 for incentivised data analytics.
[0082] The method 300 typically comprises the steps of providing 302, via the management processing system 12, the Graphical User Interface (GUI) 28 to a terminal 26 of a user 25, whereby the user 25 is able to register a user profile on the personal records database 14. The method 300 then includes the step of interfacing 304, via the communications network 22 incorporating the blockchain 24, with at least one trusted data processing system 18 having the verified records database 20 to correlate specific verified records uniquely identified by the user profile to said user profile to produce a correlated verified user profile.
[0083] The method 300 further includes the steps of anonymously cataloguing 306 verified records correlated in the catalogue database 16, anonymising and recording 306 the correlated verified user profile in the blockchain 24 against a blockchain identifier, and assigning 308 the blockchain identifier to the user profile in the personal records database 14.
[0084] The method 300 further includes the steps of deleting 310 the correlated specific verified records from the user profile so that the correlated verified user profile in the blockchain 24 is only identifiable via the blockchain identifier, and if the research processing system 30 requests access 312 to specific verified records identified by the blockchain identifier, notifying 314 the user 25 via the GUI 28.
[0085] The method 300 typically includes a step of notifying the user of an access request upon receipt of a monetary reward tender from the research processing system 30. Upon receipt of approval for access from the user 25 via the GUI 28, the method 300 may include the step of allowing the research processing system 30 access to the specific verified records identified by the blockchain identifier for a limited period of time. The method 300 may further include a step of crediting the user profile with at least a portion of the tendered monetary reward when the approval for access is received from the user. [0086] The Applicant believes it particularly advantageous that the present invention described herein allows for an elegant and efficient way to incentivise users to participate in their own personal records, while being reassured that their data is secure, accurate and anonymous, and the users are fully in control of who can see their specific record at a granular level. In addition, using anonymised blockchain storage for personal records provides security, immutability, and anonymity, where controlled access can be provided as desired .
[0087] Optional embodiments of the present invention may also be said to broadly consist in the parts, elements and features referred to or indicated herein, individually or collectively, in any or all combinations of two or more of the parts, elements or features, and wherein specific integers are mentioned herein which have known equivalents in the art to which the invention relates, such known equivalents are deemed to be incorporated herein as if individually set forth. In the example embodiments, well-known processes, well-known device structures, and well-known technologies are not described in detail, as such will be readily understood by the skilled addressee .
[0088] The use of the terms "a", "an", "said", "the", and/or similar referents in the context of describing various embodiments (especially in the context of the claimed subject matter) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The terms "comprising," "having," "including, " and "containing" are to be construed as open- ended terms (i.e., meaning "including, but not limited to,") unless otherwise noted. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
[0089] It is to be appreciated that reference to "one example" or "an example" of the invention, or similar exemplary language (e.g., "such as") herein, is not made in an exclusive sense. Various substantially and specifically practical and useful exemplary embodiments of the claimed subject matter are described herein, textually and/or graphically, for carrying out the claimed subject matter.
[0090] Accordingly, one example may exemplify certain aspects of the invention, whilst other aspects are exemplified in a different example. These examples are intended to assist the skilled person in performing the invention and are not intended to limit the overall scope of the invention in any way unless the context clearly indicates otherwise. Variations (e.g. modifications and/or enhancements) of one or more embodiments described herein might become apparent to those of ordinary skill in the art upon reading this application. The inventor (s) expects skilled artisans to employ such variations as appropriate, and the inventor (s) intends for the claimed subject matter to be practiced other than as specifically described herein.
[0091] Any method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order discussed or illustrated, unless specifically identified as an order of performance. It is also to be understood that additional or alternative steps may be employed.

Claims

1. A personal records repository arrangement for incentivised data analytics, said arrangement comprising: a management processing system having a personal records database and a catalogue database; and
at least one trusted data processing system having a verified records database;
wherein the management and trusted data processing systems are operatively arranged in signal communication via a communications network incorporating a blockchain, said management processing system configured to:
a) provide, via the network, a Graphical User Interface (GUI) to a terminal of a user whereby the user is able to register a user profile on the personal records database; b) interface with the trusted data processing system to correlate specific verified records uniquely identified by the user profile to said user profile to produce a correlated verified user profile;
c) anonymously catalogue verified records so correlated in the catalogue database; and
d) anonymise and record the correlated verified user profile in the blockchain against a blockchain identifier and assign the blockchain identifier to the user profile in the personal records database, so that the correlated verified user profile in the blockchain is only identifiable via the blockchain identifier;
so that, in use, a research processing system is able to selectively access the catalogue database and/or the blockchain to search for particular types of verified records for data analytics, the management processing system being configured to notify the user, via the GUI, if the research processing system requests access to specific verified records identified by the blockchain identifier.
2. The arrangement of claim 1, wherein the management processing system is configured to notify the user of an access request upon receipt of a monetary reward tender from the research processing system.
3. The arrangement of claim 2, wherein the monetary reward tender includes a cryptocurrency.
4. The arrangement of any of claims 1 to 3, wherein upon receipt of approval for access from the user via the GUI, the management processing system is configured to allow the research processing system access to the specific verified records identified by the blockchain identifier for a limited period of time.
5. The arrangement of claim 4, wherein the management processing system is configured to credit the user profile with at least a portion of the tendered monetary reward when the approval for access is received.
6. The arrangement of any of claims 1 to 5, wherein the personal records database, the catalogue database, and the verified records database comprise health records databases based on the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications.
7. The arrangement of claim 6, wherein the verified records database comprises health records entered therein by, or obtained from, medical professionals, doctors, hospitals, clinicians, and/or laboratories.
8. The arrangement of any of claims 1 to 7, wherein the management processing system is configured to correlate specific verified records as uniquely identified by the user profile through a name of the user, a driver' s licence number of the user, a medical identifier of the user, a social security number of the user, and/or an identity number of the user .
9. The arrangement of any of claims 1 to 8, wherein the management processing system is configured to anonymously catalogue verified records in the catalogue database by removing all identifying details of the user from the records.
10. The arrangement of any of claims 1 to 9, wherein the management processing system is configured to anonymously catalogue verified records in the catalogue database according to medical condition, treatment type, symptoms, date of diagnosis, date of test, diagnosing physician, location of diagnosis, and/or geographic area of diagnosis.
11. The arrangement of any of claims 1 to 10, wherein the management processing system is configured to delete the correlated specific verified records from the user profile so that the correlated verified user profile is solely stored in the blockchain.
12. A personal records repository method for incentivised data analytics, said method comprising the steps of : providing, via a management processing system having a personal records database and a catalogue database, a Graphical User Interface (GUI) to a terminal of a user whereby the user is able to register a user profile on the personal records database ;
interfacing, via a communications network incorporating a blockchain, with at least one trusted data processing system having a verified records database to correlate specific verified records uniquely identified by the user profile to said user profile to produce a correlated verified user profile ;
anonymously cataloguing verified records correlated in the catalogue database; and
anonymising and recording the correlated verified user profile in the blockchain against a blockchain identifier and assigning the blockchain identifier to the user profile in the personal records database, so that the correlated verified user profile in the blockchain is only identifiable via the blockchain identifier; and
if a research processing system requests access to specific verified records identified by the blockchain identifier, notifying the user via the GUI.
13. The method of claim 12, which includes the step of notifying the user of an access request upon receipt of a monetary reward tender from the research processing system.
14. The method of claim 13, wherein the monetary reward tender includes a cryptocurrency.
15. The method of any of claims 12 to 14, wherein upon receipt of approval for access from the user via the GUI, the method includes the step of allowing the research processing system access to the specific verified records identified by the blockchain identifier for a limited period of time.
16. The method of any of claims 13 to 16, which includes the step of crediting the user profile with at least a portion of the tendered monetary reward when the approval for access is received from the user.
17. The method of any of claims 12 to 16, wherein the personal records database, the catalogue database, and the verified records database comprise health records databases based on the 'Health Level-7' or 'HL7' set of international standards for transfer of clinical and administrative data between software applications.
18. The method of any of claims 12 to 17, wherein the verified records database comprises health records entered therein by, or obtained from, medical professionals, doctors, hospitals, clinicians, and/or laboratories.
19. The method of any of claims 12 to 18, which includes the step of correlating specific verified records as uniquely identified by the user profile through a name of the user, a driver's licence number of the user, a medical identifier of the user, e.g. Medicare number, a social security number of the user, and/or an identity number of the user.
20. The method of any of claims 12 to 19, which includes the step of anonymously cataloguing verified records in the catalogue database by removing all identifying details of the user from the records.
21. The method of any of claims 12 to 20, which includes the step of anonymously cataloguing verified records in the catalogue database according to medical condition, treatment type, symptoms, date of diagnosis, date of test, diagnosing physician, location of diagnosis, and/or geographic area of diagnosis .
22. The method of any of claims 12 to 21, which includes the step of deleting the correlated specific verified records from the user profile so that the correlated verified user profile is solely stored in the blockchain.
23. A computer programme product for operative execution by at least one processing system, said computer programme product configured to enable performance of the method in accordance with any of claims 12 to 22.
PCT/AU2019/050077 2018-02-02 2019-02-01 Personal record repository arrangement and method for incentivised data analytics WO2019148248A1 (en)

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