Patient library interface combining comparison information with feedback

• US 10,276,261 B2
• Filed: 11/26/2014
• Issued: 04/30/2019
• Est. Priority Date: 11/26/2014
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Von Reden, Anna Louise
• Primary Examiner(s): Sorey, Robert A
• Application Number:
  US14/554,878
• Publication Number:
  US 20160147946A1
• Time in Patent Office: 1,616 Days
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records

Abstract

Disclosed and described systems, methods, and apparatus provided facilitate analysis, presentation, and comparison of clinical information. An example system includes a processor configured to provide a patient library interface. The interface displays a plurality of events along a patient timeline and a list of items for comparison to a clinical scenario. The scenario is specified in an interface configuration to trigger collection of the list of comparison items. The processor receives and adds items to the list based on a relevancy analysis of each item to the clinical scenario. The processor facilitates feedback to add, remove, and rate relevance of item(s) in the list. The processor displays item(s) from the list in conjunction with documentation from the clinical scenario and facilitates user interaction with the item(s) and documentation. The processor updates a data source based on the user feedback and user interaction.

Claims

1. A system comprising:

a processor configured to generate and display a graphical user interface defining a first display area for interaction including at least;

a diagnostic hub and a workload manager in the first display area,

the workload manager to display a worklist of exams, the workload manager to close and transform to a miniaturized form in the first display area when the worklist is not in use, the diagnostic hub to expand to occupy a remainder of the first display area when the workload manager is in the miniaturized form and to reduce to accommodate the workload manager when the worklist is in use,

the diagnostic hub to display, in the first display area via the graphical user interface when triggered by selection of an exam from a worklist, at least;

an exam preview panel to preview the selected exam; and

a patient library interface to display, when accessed via the exam preview panel, a plurality of events along a timeline for a patient and a list of items for comparison to a clinical scenario including a reason for the selected exam, the clinical scenario specified in a configuration of the patient library interface to trigger collection of the list of items for comparison, the processor to receive and add items to the list of items for comparison based on a relevancy analysis of each item to the clinical scenario, the relevancy analysis to include a relevancy algorithm including a combination of machine learning, natural language processing, and data usage information applied to each item based on the selected exam and the reason for the selected exam to calculate a relevancy score for the respective item and to build the list of items ranked by their respective relevancy score for comparison in association with the clinical scenario, the processor to facilitate user feedback to add, remove, and rate relevance of one or more items in the list of items for comparison, the processor to display one or more items from the list of items for comparison in conjunction with documentation from the clinical scenario and to facilitate user interaction with the one or more items and documentation, the processor to update a data source based on the user feedback and user interaction.

2. The system of claim 1, wherein the updating based on the user feedback and user interaction adjusts the relevancy algorithm applied to subsequent items and clinical scenario.

3. The system of claim 1, further comprising a data relevancy processor configured to process a data event provided by a data source by applying natural language processing and machine learning to the data event based on the clinical scenario and to determine relevancy of the data event with respect to the clinical scenario based on a combination of domain knowledge and user knowledge to filter and determine relevancy of the data event with respect to the clinical scenario, the data relevancy processor to output the data event to the list of items for comparison based on the determined relevancy to the clinical scenario.

4. The system of claim 3, wherein the determined relevancy comprises a relevancy score displayed with the data event in the list of items for comparison.

5. The system of claim 1, wherein the add and remove of an item to the list of items for comparison further comprises at least one of selecting and dragging and dropping an item from one of the timeline and the list of items for comparison to the other of the timeline and the list of items for comparison.

6. The system of claim 1, wherein the timeline and the list of items for comparison are provided via the patient library interface adjacent to a panel displaying the comparison.

7. The system of claim 1, wherein the clinical scenario comprises an imaging exam and one or more of the list of items for comparison comprise one or more prior imaging studies.

8. The system of claim 1, wherein the diagnostic hub further includes a bridge to tie the diagnostic hub to an image viewer and dictation software, the bridge to enable navigation between the diagnostic hub, the image viewer, and the dictation software while maintaining a patient context across the diagnostic hub, the image viewer, and the dictation software.

9. A computer-implemented method comprising:

monitoring and managing, using a processor, a graphical user interface defining a first display area for interaction including at least a diagnostic hub and a workload manager, the workload manager to display a worklist of exams, the workload manager to close and transform to a miniaturized form in the first display area when the worklist is not in use, the diagnostic hub to expand to occupy a remainder of the first display area when the workload manager is in the miniaturized form and to reduce to accommodate the workload manager when the worklist is in use, the diagnostic hub to display, in the first display area when triggered by selection of an exam from a worklist, at least an exam preview panel and a patient library interface;

receiving, using the processor, one or more data events determined to be relevant to a clinical scenario including a reason for an exam, the clinical scenario specified in a configuration of the patient library interface to trigger collection of the list of items for comparison, the patient library interface accessible via an exam preview panel triggered by selection of the exam from the worklist;

displaying, via the patient library interface, a plurality of events along a timeline for a patient and a list of items for comparison to the clinical scenario based on the clinical scenario and the one or more data events;

receiving and adding, using the processor, items to the list of items for comparison based on a relevancy analysis of each item to the clinical scenario, the relevancy analysis to include a relevancy algorithm including a combination of machine learning, natural language processing, and data usage information applied to each item based on the selected exam and the reason for the selected exam to calculate a relevancy score for the respective item and to build the list of items ranked by their respective relevancy score for comparison in association with the clinical scenario;

facilitating, using the processor, user feedback to add, remove, and rate relevance of one or more items in the list of items for comparison;

displaying, using the processor, one or more items from the list of items for comparison in conjunction with documentation from the clinical scenario;

facilitating, using the processor, user interaction with the one or more items and documentation; and

updating, using the processor, a data source based on the user feedback and user interaction.

10. The method of claim 9, wherein the updating based on the user feedback and user interaction adjusts the relevancy algorithm applied to subsequent items and clinical scenario.

11. The method of claim 9, further comprising processing a data event provided by a data source by applying natural language processing and machine learning to the data event based on the clinical scenario and to determine relevancy of the data event with respect to the clinical scenario based on a combination of domain knowledge and user knowledge to filter and determine relevancy of the data event with respect to the clinical scenario;

and outputting the data event to the list of items for comparison based on the determined relevancy to the clinical scenario.

12. The method of claim 11, wherein the determined relevancy comprises a relevancy score displayed with the data event in the list of items for comparison.

13. The method of claim 9, wherein the add and remove of an item to the list of items for comparison further comprises at least one of selecting and dragging and dropping an item from one of the timeline and the list of items for comparison to the other of the timeline and the list of items for comparison.

14. The method of claim 9, wherein the timeline and the list of items for comparison are provided via the patient library interface adjacent to a panel displaying the comparison.

15. The method of claim 9, wherein the clinical scenario comprises an imaging exam and one or more of the list of items for comparison comprise one or more prior imaging studies.

16. A computer-readable storage medium including program instructions for execution by a computing device, the instructions, when executed, causing the computing device to execute a method, the method comprising:

monitoring and managing a graphical user interface defining a first display area for interaction including at least a diagnostic hub and a workload manager, the workload manager to display a worklist of exams, the workload manager to close and transform to a miniaturized form in the first display area when the worklist is not in use, the diagnostic hub to expand to occupy a remainder of the first display area when the workload manager is in the miniaturized form and to reduce to accommodate the workload manager when the worklist is in use, the diagnostic hub to display, in the first display area when triggered by selection of an exam from a worklist, at least an exam preview panel and a patient library interface;

receiving one or more data events determined to be relevant to a clinical scenario including a reason for an exam, the clinical scenario specified in a configuration of the patient library interface to trigger collection of the list of items for comparison, the patient library interface accessible via an exam preview panel triggered by selection of the exam from the worklist;

displaying, via the patient library interface, a plurality of events along a timeline for a patient and a list of items for comparison to the clinical scenario based on the clinical scenario and the one or more data events;

receiving and adding items to the list of items for comparison based on a relevancy analysis of each item to the clinical scenario, the relevancy analysis to include a relevancy algorithm including a combination of machine learning, natural language processing, and data usage information applied to each item based on the selected exam and the reason for the selected exam to calculate a relevancy score for the respective item and to build the list of items ranked by their respective relevancy score for comparison in association with the clinical scenario;

facilitating user feedback to add, remove, and rate relevance of one or more items in the list of items for comparison;

displaying one or more items from the list of items for comparison in conjunction with documentation from the clinical scenario;

facilitating user interaction with the one or more items and documentation; and

updating a data source based on the user feedback and user interaction.

17. The computer-readable storage medium of claim 16, wherein the updating based on the user feedback and user interaction adjusts the relevancy algorithm applied to subsequent items and clinical scenario.

18. The computer-readable storage medium of claim 16, wherein the method further comprises processing a data event provided by a data source by applying natural language processing and machine learning to the data event based on the clinical scenario and to determine relevancy of the data event with respect to the clinical scenario based on a combination of domain knowledge and user knowledge to filter and determine relevancy of the data event with respect to the clinical scenario;

and outputting the data event to the list of items for comparison based on the determined relevancy to the clinical scenario.

19. The computer-readable storage medium of claim 18, wherein the determined relevancy comprises a relevancy score displayed with the data event in the list of items for comparison.

20. The computer-readable storage medium of claim 16, wherein the add and remove of an item to the list of items for comparison further comprises at least one of selecting and dragging and dropping an item from one of the timeline and the list of items for comparison to the other of the timeline and the list of items for comparison.

21. The computer-readable storage medium of claim 16, wherein the clinical scenario comprises an imaging exam and one or more of the list of items for comparison comprise one or more prior imaging studies.