Linkage of social network and healthcare data

• US 10,380,547 B2
• Filed: 05/01/2015
• Issued: 08/13/2019
• Est. Priority Date: 05/01/2014
• Status: Active Grant

• Current Assignee: HealthVerity, Inc.
• Original Assignee: HealthVerity, Inc.
• Inventors: Kress, Andrew
• Primary Examiner(s): Nguyen, Trang T
• Application Number:
  US14/702,311
• Publication Number:
  US 20150317439A1
• Time in Patent Office: 1,565 Days
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• 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

A system and method for providing an individual with information on the actual healthcare utilization of other members of that individual'"'"'s social network, the method including de-identifying or encrypting individually identifiable social network data associated with a first user, de-identifying or encrypting individually identifiable healthcare transaction data associated with the first user, and linking the de-identified social network data and the de-identified healthcare transaction data.

Claims

1. A method, comprising:

receiving individually identifiable social network data associated with a first user and a second user, the individually identifiable social network data associated with the second user including a social network link with the first user;

receiving individually identifiable healthcare transaction data associated with the first user identifying a physician of the first user;

de-identifying or encrypting the individually identifiable social network data associated with the first user to form de-identified social network data associated with the first user by using a hash function or encryption algorithm to generate a first key and replacing data identifying the first user with the first key;

de-identifying or encrypting the individually identifiable healthcare transaction data associated with the first user to form de-identified healthcare transaction data associated with the first user by using the hash function or encryption algorithm to generate a second key and replacing data identifying the first user with the second key;

identifying de-identified social network data associated with the first user and de-identified healthcare transaction data associated with the first user by making a determination that the first key is identical or similar to the second key;

linking the de-identified social network data associated with the first user and the de-identified healthcare transaction data associated with the first user;

de-identifying or encrypting the individually identifiable social network data associated with the second user to form de-identified social network data associated with the second user; and

outputting the physician of the first user to the second user in response to a determination that the de-identified social network data associated with the second user includes a social network link with the first user and the de-identified healthcare transaction data associated with the first user identifies the physician of the first user.

2. The method of claim 1, wherein the data identifying the first user includes a name or date of birth of the first user.

3. The method of claim 1, further comprising:

receiving a query from the second user; and

outputting the de-identified healthcare transaction data associated with the first user in response to the query initiated by the second user.

4. The method of claim 1, wherein:

the hash function or encryption algorithm generates the first key by hashing or encrypting the data identifying the first user in the individually identifiable social network data associated with the first user;

the hash function or encryption algorithm generates the second key by hashing or encrypting the data identifying the first user in the individually identifiable healthcare transaction data associated with the first user.

5. The method of claim 1, wherein the determination that the first key is identical or similar to the second key is a deterministic or probabilistic determination.

6. A system, comprising:

a social network database for storing;

individually identifiable social network data associated with a first user that includes data identifying the first user; and

individually identifiable social network data associated with a second user that includes data identifying the first user and a social network link with the first user;

a healthcare transaction database for storing individually identifiable healthcare transaction data associated with the first user that includes data identifying the first user and identifies a physician of the first user; and

a processor configured to;

de-identify or encrypt the individually identifiable social network data associated with the first user to form de-identified social network data associated with the first user by using a hash function or encryption algorithm to generate a first key and replacing the data identifying the first user with the first key;

de-identify or encrypt the individually identifiable healthcare transaction data associated with the first user to form de-identified healthcare transaction data associated with the first user by using the hash function or encryption algorithm to generate a second key and replacing the data identifying the first user with the second key;

identify de-identified social network data associated with the first user and de-identified healthcare transaction data associated with the first user by making a determination that the first key is identical or similar to the second key;

link the de-identified social network data associated with the first user and the de-identified healthcare transaction data associated with the first user;

de-identifying or encrypting the individually identifiable social network data associated with the second user to form de-identified social network data associated with the second user; and

output the physician of the first user to the second user in response to a determination that de-identified social network data associated with the second user includes a social network link with the first user and de-identified healthcare transaction data associated with the first user identifies the physician of the first user.

7. The system of claim 6, wherein the data identifying the first user includes a name or date of birth of the first user.

8. The system of claim 6, wherein the processor is further configured to:

receive a query from the second user; and

output the de-identified healthcare transaction data associated with the first user in response to the query initiated by the second user.

9. The system of claim 6, wherein:

the hash function or encryption algorithm generates the first key by hashing or encrypting the data identifying the first user in the individually identifiable social network data associated with the first user;

the hash function or encryption algorithm generates the second key by hashing or encrypting the data identifying the first user in the individually identifiable healthcare transaction data associated with the first user.

10. The system of claim 6, wherein the determination that the first key is identical or similar to the second key is a deterministic or probabilistic determination.