EVOLVING CONTEXTUAL CLINICAL DATA ENGINE FOR MEDICAL INFORMATION

• US 20150127379A1
• Filed: 10/31/2014
• Published: 05/07/2015
• Est. Priority Date: 11/04/2013
• Status: Active Grant

• Current Assignee: TeraRecon Inc. (Fortive Corp.)
• Original Assignee: TeraRecon Inc. (Fortive Corp.)
• Inventors: Sorenson, Jeffrey
• Granted Patent: US 10,978,184 B2
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A medical information server receives a signal from a client device over a network, representing a first user interaction of a user with respect to first medical information displayed to a user. A user interaction analyzer invokes a first set of ECCD rules associated with the user based on the first user interaction to determine medical data categories that the user is likely interested in. The first set of ECCD rules was generated by an ECCD engine based on prior user interactions of the user. A data retrieval module accesses medical data servers corresponding to the medical data categories to retrieve medical data of the medical data categories. A view generator integrates the retrieved medical data to generate one or more views of second medical information and transmits the views of second medical information to a client device to be displayed on a display of the client device.

Claims

1. A computer-implemented method for processing medical information, the method comprising:

receiving, at a medical information server, a signal from a client device over a network, the signal representing a first user interaction of a user with respect to first medical information displayed at the client device operated by a user;

in response to the signal, invoking, by a user interaction analyzer, a first set of one or more evolving contextual clinical data (ECCD) rules associated with the user based on the first user interaction to determine one or more medical data categories that the user is likely interested in, wherein the first set of ECCD rules was generated by an ECCD engine based on prior user interactions of the user;

accessing, by a data retrieval module, one or more medical data servers corresponding to the medical data categories to retrieve medical data of the medical data categories;

integrating, by a view generator, the retrieved medical data to generate one or more views of second medical information; and

transmitting the one or more views of second medical information to the client device to be displayed on a display of the client device.

2. The method of claim 1, further comprising, prior to receiving the signal:

monitoring and capturing the prior user interactions with different medical information presented to the user;

performing, by the ECCD engine, an analysis using an algorithm on the captured user interactions to derive behavioral patterns of the user in response to the different medical information; and

generating, the ECCD engine, the first set of ECCD rules based on the behavioral patterns of the user.

3. The method of claim 2, further comprising:

receiving a second user interaction of the user with respect to the one or more views of second medical information displayed at the client device;

training an ECCD model in view of the second user interaction to generate a second set of one or more ECCD rules, which is an update from the first set of ECCD rules; and

storing the second set of ECCD rules in a user database associated with the user, wherein the second set of ECCD rules are used, in lieu of the first set of ECCD rules, to predict future medical information the user is likely interested.

4. The method of claim 1, further comprising, for each of the medical data servers, maintaining a medical data interface module to specifically communicate with a corresponding medical data server using a compatible communication protocol.

5. The method of claim 4, wherein the medical data servers are operated by different organizations.

6. The method of claim 1, wherein the medical data categories comprise medical images, electronic medical records, laboratory information, and hospital information.

7. The method of claim 6, wherein the medical data servers comprise a picture archiving and information system (PACS), an electronic medical record (EMR) server, a laboratory information server, and a hospital information system.

8. The method of claim 1, wherein the second medical information comprises first medical data requested by the user that is associated with the first medical information, and wherein the second medical information comprises second medical data that is not requested by the user, but is recommended by the first set of ECCD rules.

9. The method of claim 1, further comprising:

determining based on the first set of ECCD rules a set of one or more image processing tools that the user likely uses in view of the first medical information; and

transmitting tool information representing the set of image processing tools to the client device, wherein the set of image processing tools is presented as a set of graphical representations at the client device.

10. The method of claim 1, wherein the medical data of the medical data categories is retrieved from multiple ones of the medical data servers.

11. The method of claim 1, wherein the medical data categories are determined further based on a second set of ECCD rules that is associated with metadata of the first medical information displayed at the client device.

12. A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations for processing medical information, the operations comprising:

receiving, at a medical information server, a signal from a client device over a network, the signal representing a first user interaction of a user with respect to first medical information displayed at the client device operated by a user;

in response to the signal, invoking, by a user interaction analyzer, a first set of one or more evolving contextual clinical data (ECCD) rules associated with the user based on the first user interaction to determine one or more medical data categories that the user is likely interested in, wherein the first set of ECCD rules was generated by an ECCD engine based on prior user interactions of the user;

accessing, by a data retrieval module, one or more medical data servers corresponding to the medical data categories to retrieve medical data of the medical data categories;

integrating, by a view generator, the retrieved medical data to generate one or more views of second medical information; and

transmitting the one or more views of second medical information to the client device to be displayed on a display of the client device.

13. The non-transitory machine-readable medium of claim 12, wherein the operations further comprise, prior to receiving the signal:

monitoring and capturing the prior user interactions with different medical information presented to the user;

performing, by the ECCD engine, an analysis using an algorithm on the captured user interactions to derive behavioral patterns of the user in response to the different medical information; and

generating, the ECCD engine, the first set of ECCD rules based on the behavioral patterns of the user.

14. The non-transitory machine-readable medium of claim 13, wherein the operations further comprise:

receiving a second user interaction of the user with respect to the one or more views of second medical information displayed at the client device;

training an ECCD model in view of the second user interaction to generate a second set of one or more ECCD rules, which is an update from the first set of ECCD rules; and

storing the second set of ECCD rules in a user database associated with the user, wherein the second set of ECCD rules are used, in lieu of the first set of ECCD rules, to predict future medical information the user is likely interested.

15. The non-transitory machine-readable medium of claim 12, wherein the operations further comprise, for each of the medical data servers, maintaining a medical data interface module to specifically communicate with a corresponding medical data server using a compatible communication protocol.

16. The non-transitory machine-readable medium of claim 15, wherein the medical data servers are operated by different organizations.

17. The non-transitory machine-readable medium of claim 12, wherein the medical data categories comprise medical images, electronic medical records, laboratory information, and hospital information.

18. The non-transitory machine-readable medium of claim 17, wherein the medical data servers comprise a picture archiving and information system (PACS), an electronic medical record (EMR) server, a laboratory information server, and a hospital information system.

19. The non-transitory machine-readable medium of claim 12, wherein the second medical information comprises first medical data requested by the user that is associated with the first medical information, and wherein the second medical information comprises second medical data that is not requested by the user, but is recommended by the first set of ECCD rules.

20. The non-transitory machine-readable medium of claim 12, wherein the operations further comprise:

determining based on the first set of ECCD rules a set of one or more image processing tools that the user likely uses in view of the first medical information; and

transmitting tool information representing the set of image processing tools to the client device, wherein the set of image processing tools is presented as a set of graphical representations at the client device.

21. The non-transitory machine-readable medium of claim 12, wherein the medical data of the medical data categories is retrieved from multiple ones of the medical data servers.

22. The non-transitory machine-readable medium of claim 12, wherein the medical data categories are determined further based on a second set of ECCD rules that is associated with metadata of the first medical information displayed at the client device.

23. A data processing system, comprising:

a user interaction analyzer to receive a signal from a client device over a network, the signal representing a first user interaction of a user with respect to first medical information displayed at the client device operated by a user, to invoke a first set of one or more evolving contextual clinical data (ECCD) rules associated with the user based on the first user interaction to determine one or more medical data categories that the user is likely interested in, wherein the first set of ECCD rules was generated by an ECCD engine based on prior user interactions of the user;

a data retrieval module coupled to the user interaction analyzer to access one or more medical data servers corresponding to the medical data categories to retrieve medical data of the medical data categories; and

a view generator coupled to the data retrieval module to integrate the retrieved medical data to generate one or more views of second medical information and to transmit the one or more views of second medical information to the client device to be displayed on a display of the client device.

24. The system of claim 23, further comprising:

a user data collector to monitor and capture the prior user interactions with different medical information presented to the user; and

an ECCD engine to perform an analysis using an algorithm on the captured user interactions to derive behavioral patterns of the user in response to the different medical information and to generate the first set of ECCD rules based on the behavioral patterns of the user.

25. The system of claim 24, wherein the user interaction analyzer is to receive a second user interaction of the user with respect to the one or more views of second medical information displayed at the client device, and wherein the ECCD engine is to train an ECCD model in view of the second user interaction to generate a second set of one or more ECCD rules, which is an update from the first set of ECCD rules and to store the second set of ECCD rules in a user database associated with the user, wherein the second set of ECCD rules are used, in lieu of the first set of ECCD rules, to predict future medical information the user is likely interested.

26. A computer-implemented method for processing medical information, the method comprising:

receiving, at a medical information server, a signal from a client device over a network, the signal representing a first user interaction of a user with respect to first medical information displayed at the client device operated by a user;

in response to the signal, examining, by a user interaction analyzer, a first set of one or more evolving contextual clinical data (ECCD) rules associated with metadata of the first medical information based on the first user interaction to determine one or more medical data categories that the user is likely interested in, wherein the first set of ECCD rules was generated by an ECCD engine based on metadata of different types of medical information;

accessing, by a data retrieval module, one or more medical data servers corresponding to the medical data categories to retrieve medical data of the medical data categories;

integrating, by a view generator, the retrieved medical data to generate one or more views of second medical information; and

transmitting the one or more views of second medical information to the client device to be displayed on a display of the client device.

27. The method of claim 26, further comprising, prior to receiving the signal:

monitoring and capturing the prior user interactions with different medical information presented to a plurality of different users;

performing, by the ECCD engine, an analysis using an algorithm on the captured user interactions to derive behavioral patterns of the users in response to the different medical information; and

generating, the ECCD engine, the first set of ECCD rules based on the behavioral patterns of the users in view of the metadata of the different medical information.

28. The method of claim 27, further comprising:

receiving second user interactions of one or more of the users with respect to the one or more views of second medical information displayed at client devices of the users;

training an ECCD model in view of the second user interactions to generate a second set of one or more ECCD rules, which is an update from the first set of ECCD rules; and

storing the second set of ECCD rules in a database, wherein the second set of ECCD rules are used, in lieu of the first set of ECCD rules, to predict future medical information the users are likely interested.

29. The method of claim 26, further comprising, for each of the medical data servers, maintaining a medical data interface module to specifically communicate with a corresponding medical data server using a compatible communication protocol.

30. The method of claim 29, wherein the medical data servers are operated by different organizations.