ADAPTIVE USER INTERFACE SYSTEMS AND METHODS FOR HEALTHCARE APPLICATIONS

• US 20100131482A1
• Filed: 11/26/2008
• Published: 05/27/2010
• Est. Priority Date: 11/26/2008
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Linthicum, Steven, Fors, Steven, Jester, Eric, Ricamato, Anthony
• Application Number:
  US12/324,456
• Publication Number:
  US 20100131482A1
• Time in Patent Office: Days
• US Class Current: 707/706
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Systems and methods for providing adaptive, work-centered healthcare services via an adaptive user interface are provided. An example adaptive user interface apparatus includes a plurality of widgets providing applications and/or data to a user based on a particular data context, the plurality of widgets responsive to input from the user. The apparatus also includes a query engine providing customized query results from a connectivity framework of data sources based on a user query and the particular data context. The apparatus further includes a user interface display area configurable by the user to position widget(s) and query engine access to enable the user to access, input, and search medical information across a healthcare enterprise. The user interface includes an adaptive, work-centered interface employing an ontology modeling approach to characterize the user'"'"'s workspace based on workflow activities and computation mechanisms to support the user'"'"'s workflow and access to enterprise applications and data.

Claims

1. An adaptive user interface apparatus facilitating access by an end user to information across healthcare enterprise systems, said user interface apparatus comprising:

a plurality of widgets providing at least one of applications and data to a user based on a particular data context, the plurality of widgets responsive to input from the user;

a query engine providing customized query results from a connectivity framework of data sources based on a user query and the particular data context; and

a user interface display area configurable by the user to position one or more of the plurality of widgets and access to the query engine to enable the user to access, input, and search medical information across a healthcare enterprise,

wherein the user interface comprises an adaptive, work-centered interface employing an ontology modeling approach to characterize the user'"'"'s workspace based on workflow activities and computation mechanisms to support the user'"'"'s workflow and access to enterprise applications and data.

2. The apparatus of claim 1, wherein user input comprises an event including a stimulus and a context.

3. The apparatus of claim 1, wherein the user interface is constructed using semantic Web technology to characterize domain concepts and relationships in a hierarchy of ontologies.

4. The apparatus of claim 3, further comprising a controller examining metadata in an ontology to present the user with an application tailored to the user to provide targeted information from a plurality of data sources in the healthcare enterprise in a context-sensitive delivery.

5. The apparatus of claim 1, wherein display of and settings for the plurality of widgets, the query engine, and the user interface are customized based on at least one of a user profile and a disease-specific workflow.

6. The apparatus of claim 1, further comprising an information composition engine bundling query results for multiple data sources into semantic units.

7. The apparatus of claim 1, further comprising a document summarizer generating a multi-document summary of the query results.

8. The apparatus of claim 1, further comprising an active listener modifying one or more of the plurality of widgets based on monitored user activity above a certain threshold.

9. The apparatus of claim 1, further comprising a knowledge management subsystem including one or more tools or information to assist the query engine in forming the query.

10. The apparatus of claim 1, wherein the query engine performs at least one of a) query enhancement to add one or more additional terms to the query and b) query refinement to remove or substitute one or more terms to the query.

11. A machine readable medium having a set of instructions for execution on a computing machine, the set of instructions comprising:

a plurality of widgets providing at least one of applications and data to a user based on a particular data context, the plurality of widgets responsive to input from the user;

a query engine providing customized query results from a connectivity framework of data sources based on a user query and the particular data context; and

a user interface display area configurable by the user to position one or more of the plurality of widgets and access to the query engine to enable the user to access, input, and search medical information across a healthcare enterprise,

wherein the user interface comprises an adaptive, work-centered interface employing an ontology modeling approach to characterize the user'"'"'s workspace based on workflow activities and computation mechanisms to support the user'"'"'s workflow and access to enterprise applications and data.

12. The machine readable medium of claim 11, wherein user input comprises an event including a stimulus and a context.

13. The machine readable medium of claim 11, wherein the user interface is constructed using semantic Web technology to characterize domain concepts and relationships in a hierarchy of ontologies.

14. The machine readable medium of claim 13, wherein the set of instructions further comprises a controller examining metadata in an ontology to present the user with an application tailored to the user to provide targeted information from a plurality of data sources in the healthcare enterprise in a context-sensitive delivery.

15. The machine readable medium of claim 11, wherein display of and settings for the plurality of widgets, the query engine, and the user interface are customized based on at least one of a user profile and a disease-specific workflow.

16. The machine readable medium of claim 11, wherein the set of instructions further comprises an information composition engine bundling query results for multiple data sources into semantic units.

17. The machine readable medium of claim 11, wherein the set of instructions further comprises a document summarizer generating a multi-document summary of the query results.

18. The machine readable medium of claim 11, wherein the set of instructions further comprises an active listener modifying one or more of the plurality of widgets based on monitored user activity above a certain threshold.

19. The machine readable medium of claim 11, wherein the set of instructions further comprises a knowledge management subsystem including one or more tools or information to assist the query engine in forming the query.

20. The machine readable medium of claim 11, wherein the query engine performs at least one of a) query enhancement to add one or more additional terms to the query and b) query refinement to remove or substitute one or more terms to the query.

21. A method for providing an adaptive, workflow-centered user interface facilitating access by an end user to information across healthcare enterprise systems, said method comprising:

providing a user interface display area configurable by the user to position one or more of a plurality of widgets and query engine to enable the user to access, input, and search medical information across a healthcare enterprise,

displaying a plurality of widgets providing at least one of applications and data to a user based on a particular data context and configuration, the plurality of widgets responsive to input from the user;

providing a query engine retrieving customized query results from a connectivity framework of data sources based on a user query and the particular data context; and

outputting data from the plurality of widgets and the query results based on an ontology modeling approach to characterize the user'"'"'s workspace based on workflow activities and computation mechanisms to support the user'"'"'s workflow and access to enterprise applications and data.