Biosurveillance notifications

Patent metadata

Field	Value
Publication number	US-11087887-B2
Application number	US-201916423232-A
Country	US
Kind code	B2
Filing date	May 28, 2019
Priority date	Oct 18, 2005
Publication date	Aug 10, 2021
Grant date	Aug 10, 2021

Abstract

Systems and methods mediate anomaly notifications in health data to health alerts using data structures and logic to organize, contain, and dispose of identified health anomalies. Multiple detection algorithms, operating asynchronously and independently, run against one or more health data streams. Examples of data streams are electronic laboratory requisitions and results, OTC sales of medicines and medical supplies, emergency department visit data, and others. The outputs of anomaly detection generators—anomaly notifications (anomalies)—are processed by the invention. The case manager organizes anomaly notifications and supports collaborative decision making and disposition among expert users.

First claim

The invention claimed is:

1. A method, comprising:
receiving, by a server, a request for a webpage from a client device, the request for the webpage specifying a health anomaly;
determining, by the server, a metadata describing the health anomaly specified by the request for the webpage, the metadata including at least one location comprising at least one of: a home address of a patient or an address of a health service provider;
identifying, by the server, a plurality of cases that are electronically associated with the metadata describing the health anomaly, wherein the identifying comprises determining matches between the at least one location that is included in the metadata and locations associated with the plurality of cases;
determining, by the server, a case of the plurality of cases having a highest case priority from among a plurality of case priorities associated with the plurality of cases, wherein each case priority of the plurality of case priorities is associated with a respective case of the plurality of cases and is determined in accordance with a weighted average of anomaly priorities of each of a plurality of anomalies associated with the respective case;
retrieving, by the server, an electronic health data associated with the case having the highest case priority;
generating, by the server, the webpage based on the electronic health data associated with the case; and
sending, by the server, the webpage to the client device for a display of the electronic health data associated with the case.

2. The method of claim 1 , further comprising receiving a stream of data from a source, the stream of data containing the electronic health data.

3. The method of claim 1 , wherein the identifying further comprises:
determining a first locational match between the case and the metadata.

4. The method of claim 3 , further comprising assigning a relevance to the health anomaly based on the first locational match between the case and the metadata.

5. The method of claim 3 , further comprising determining a second locational match between the case and the metadata.

6. The method of claim 5 , further comprising assigning the health anomaly to the case in response to the determining of the first locational match and the determining of the second locational match.

7. The method of claim 1 , further comprising assigning a relevance to the health anomaly based on the address of the health service provider.

8. A system, comprising:
a hardware processor; and
a memory device, the memory device storing instructions, the instructions when executed causing the hardware processor to perform operations, the operations comprising:
receiving a request for a webpage sent via the Internet from a client device, the request for the webpage specifying a health anomaly;
determining a metadata describing the health anomaly specified by the request for the webpage, the metadata including at least one location comprising at least one of: a home address of a patient or an address of a health service provider;
identifying a plurality of cases that are electronically associated with the metadata describing the health anomaly specified by the request for the webpage, wherein the identifying comprises determining matches between the at least one location that is included in the metadata and locations associated with the plurality of cases;
determining a case of the plurality of cases having a highest case priority from among a plurality of case priorities associated with the plurality of cases, wherein each case priority of the plurality of case priorities is associated with a respective case of the plurality of cases and is determined in accordance with a weighted average of anomaly priorities of each of a plurality of anomalies associated with the respective case;
retrieving an electronic health data associated with the case having the highest case priority;
generating the webpage based on the electronic health data associated with the case; and
sending the webpage via the Internet to the client device for a display of the electronic health data associated with the case.

9. The system of claim 8 , wherein the operations further comprise receiving a stream of data from a source, the stream of data containing the electronic health data.

10. The system of claim 8 , wherein the operations further comprise determining a first locational match between the case and the metadata.

11. The system of claim 10 , wherein the operations further comprise assigning a relevance to the health anomaly based on the first locational match.

12. The system of claim 10 , wherein the operations further comprise determining a second locational match between the case and the metadata.

13. The system of claim 12 , wherein the operations further comprise assigning the health anomaly to the case in response to the determining of the first locational match and the determining of the second locational match.

14. The system of claim 8 , wherein the operations further comprise assigning a relevance to the health anomaly based on the address of the health service provider.

15. A memory device storing instructions that when executed cause a hardware processor to perform operations, the operations comprising:
receiving a request for a webpage sent via the Internet from a client device, the request for the webpage specifying a health anomaly;
determining a metadata describing the health anomaly specified by the request for the webpage, the metadata including at least one location comprising at least one of: a home address of a patient or an address of a health service provider;
identifying a plurality of cases that are electronically associated with the metadata describing the health anomaly specified by the request for the webpage, wherein the identifying comprises determining matches between the at least one location that is included in the metadata and locations associated with the plurality of cases;
determining a case of the plurality of cases having a highest case priority from among a plurality of case priorities associated with the plurality of cases, wherein each case priority of the plurality of case priorities is associated with a respective case of the plurality of cases and is determined in accordance with a weighted average of anomaly priorities of each of a plurality of anomalies associated with the respective case;
retrieving an electronic health data associated with the case having the highest case priority;
generating the webpage based on the electronic health data associated with the case; and
sending the webpage via the Internet to the client device for a display of the electronic health data associated with the case.

16. The memory device of claim 15 , wherein the operations further comprise receiving a stream of data sent via the Internet from a source, the stream of data containing the electronic health data.

17. The memory device of claim 15 , wherein the operations further comprise determining a first locational match between the case and the metadata.

18. The memory device of claim 17 , wherein the operations further comprise assigning a relevance to the health anomaly based on the first locational match.

19. The memory device of claim 17 , wherein the operations further comprise determining a second locational match between the case and the metadata.

20. The memory device of claim 19 , wherein the operations further comprise assigning the health anomaly to the case in response to the determining of the first locational match and

Assignees

• At & T Ip Ii Lp

Inventors

• Goodall Colin
• Jacobson Guy
• Tse Simon
• Mocenigo John Mark F
• Drechsler Richard

Classifications

• G16H50/80 Primary

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