STORAGE, RETRIEVAL, ANALYSIS, PRICING, AND MARKETING OF PERSONAL HEALTH CARE DATA USING SOCIAL NETWORKS, EXPERT NETWORKS, AND MARKETS

• US 20150154646A1
• Filed: 06/14/2013
• Published: 06/04/2015
• Est. Priority Date: 06/15/2012
• Status: Abandoned Application

• Current Assignee: New York University, SEQSTER PDM, INC.
• Original Assignee: New York University, Seqster, Inc.
• Inventors: Mishra, Bhubaneswar, White, Sean, Hosseini, Dana, Arianpour, Ardavan
• Application Number:
  US14/407,518
• Publication Number:
  US 20150154646A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0215 Including financial accounts
• CPC Class Codes: G06Q 30/0257 User requested
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G16B 50/00 ICT programming tools or database systems specially adapted for bioinformatics
• CPC Class Codes: G16B 50/30 Data warehousing; Computing architectures
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

Systems and processes are provided for securely storing, retrieving, sharing, and selling private data, such as genome wide sequences, sequence related metadata, electronic healthcare data, biological data, demographic data, medical data, and other biomedical data, which, in turn, may allow the usage of genomic variations at multiple scales and across multiple population strata. In some examples, users may be matched with healthcare experts based on a medical need or interest. In other examples, an information-based market for utilizing the available data in a privacy-preserving manner may be provided. In these examples, individual or group data may be tracked, compared, rated, analyzed, and priced to allow individuals to establish connections and/or carry out financial transactions using their data with other participants, healthcare practitioners, and businesses.

Claims

1-10. -10. (canceled)

11. A non-transitory computer readable storage medium comprising computer code for managing personal data within a network, the computer code comprising instructions for:

storing user data for a plurality of users in one or more databases;

receiving a request for a subset of the user data, wherein the request comprises one or more subject criteria and a price to be paid for the subset of user data;

comparing the one or more subject criteria with user data associated with at least a portion of the plurality of users to identify a matching set of users; and

sending a notification to the users of the matching set of users indicating that a match has been detected between the request for the subset of the user data and their respective user data.

12. The non-transitory computer readable storage medium of claim 11, wherein the computer code further comprises instructions for receiving, from a user of the matching set of users, an authorization to share at least a portion of the user'"'"'s data with an entity submitting the request for the subset of the user data in exchange for a financial or non-financial reward, wherein the financial or non-financial award is based at least in part on the price to be paid for the subset of user data defined by the request.

13. The non-transitory computer readable storage medium of claim 11, wherein the user data comprises one or more of genome wide sequences, sequence related metadata, electronic healthcare data, biological data, demographic data, medical data, and other biomedical data.

14. The non-transitory computer readable storage medium of claim 11, wherein the price to be paid for the subset of user data comprises a known price for a type of the subset of user data, a price for a similar type of data, or an arbitrarily selected price.

15. The non-transitory computer readable storage medium of claim 11, wherein identities of the plurality of users are not revealed to an entity submitting the request for the subset of the user data when comparing the one or more subject criteria with the user data associated with the at least a portion of the plurality of users.

16. A non-transitory computer readable storage medium comprising computer code for managing personal data within a network, the computer code comprising instructions for:

storing user data for a plurality of users in one or more databases, wherein the user data comprises medical data;

receiving, from a first user of the plurality of users, a request to be matched to a second user of the plurality of users, wherein the request comprises one or more matching criteria, and wherein the second user comprises a heath care professional;

comparing the one or more matching criteria with user data associated with data associated with at least a portion of the plurality of users to identify a matching set of users from the at least a portion of the plurality of users, wherein the matching set of users comprises the second user; and

generating a ranked list comprising the matching set of users.

17. The non-transitory computer readable storage medium of claim 16, wherein the computer code further comprises instructions for transmitting a notification to the first user and at least a portion of the matching set of users indicating that a match has been detected between the first user and at least a portion of the matching set of users.

18. The non-transitory computer readable storage medium of claim 17, wherein the computer code further comprises instructions for:

receiving, from the first user, a selection of the second user;

receiving, from the second user, a selection of the first user; and

facilitating communication between the first user and the second user.

19. The non-transitory computer readable storage medium of claim 16, wherein the computer code further comprises instructions for comparing user data associated with the first user with user data associated with other users to identify potential mental health risks, potential cognitive decline, or potential sense decline.

20. The non-transitory computer readable storage medium of claim 16, wherein each of the at least a portion of the plurality of users is a health care professional, and wherein the at least a portion of the plurality of users authorized their associated user data to be publicly available.

21. A system for managing personal data within a network, the system comprising:

one or more databases configured to store user data for a plurality of users; and

a server communicatively coupled to the one or more databases, wherein the server comprises a computer processor configured to;

receive a request for a subset of the user data, wherein the request comprises one or more subject criteria and a price to be paid for the subset of user data;

compare the one or more subject criteria with user data associated with at least a portion of the plurality of users to identify a matching set of users; and

cause transmission of a notification to the users of the matching set of users indicating that a match has been detected between the request for the subset of the user data and their respective user data.

22. The system of claim 21, wherein the processor is further configured to receive, from a user of the matching set of users, an authorization to share at least a portion of the user'"'"'s data with an entity submitting the request for the subset of the user data in exchange for a financial or non-financial reward, wherein the financial or non-financial award is based at least in part on the price to be paid for the subset of user data defined by the request.

23. The system of claim 21, wherein the user data comprises one or more of genome wide sequences, sequence related metadata, electronic healthcare data, biological data, demographic data, medical data, and other biomedical data.

24. The system of claim 21, wherein the price to be paid for the subset of user data comprises a known price for a type of the subset of user data, a price for a similar type of data, or an arbitrarily selected price.

25. The system of claim 21, wherein identities of the plurality of users are not revealed to an entity submitting the request for the subset of the user data when comparing the one or more subject criteria with the user data associated with the at least a portion of the plurality of users.

26. A system for managing personal data within a network, the system comprising:

one or more databases configured to store user data for a plurality of users, wherein the user data comprises medical data; and

a server communicatively coupled to the one or more databases, wherein the server comprises a computer processor configured to;

receive, from a first user of the plurality of users, a request to be matched to a second user of the plurality of users, wherein the request comprises one or more matching criteria, and wherein the second user comprises a heath care professional;

compare the one or more matching criteria with user data associated with data associated with at least a portion of the plurality of users to identify a matching set of users from the at least a portion of the plurality of users, wherein the matching set of users comprises the second user; and

generate a ranked list comprising the matching set of users.

27. The system of claim 26, wherein the processor is further configured to cause transmission of a notification to the first user and at least a portion of the matching set of users indicating that a match has been detected between the first user and at least a portion of the matching set of users.

28. The system of claim 27, wherein the processor is further configured to:

receive, from the first user, a selection of the second user;

receive, from the second user, a selection of the first user; and

facilitate communication between the first user and the second user.

29. The system of claim 26, wherein the processor is further configured to compare user data associated with the first user with user data associated with other users to identify potential mental health risks, potential cognitive decline, or potential sense decline.

30. The system of claim 26, wherein each of the at least a portion of the plurality of users is a health care professional, and wherein the at least a portion of the plurality of users authorized their associated user data to be publicly available.