INTERACTIVE VISUALIZATION FOR HEALTHCARE

• US 20120290323A1
• Filed: 05/11/2012
• Published: 11/15/2012
• Est. Priority Date: 05/11/2011
• Status: Abandoned Application

• Current Assignee: Cleveland Clinic Foundation
• Original Assignee: Cleveland Clinic Foundation
• Inventors: Barsoum, Wael K., Kattan, Michael W., Morris, William H., Johnston, Douglas R.
• Application Number:
  US13/469,281
• Publication Number:
  US 20120290323A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof

Abstract

This disclosure relates to a visualization tool that can be implemented to facilitate medical decision making by providing an interactive graphical map of relevant health data. The interactive map can include graphical elements representing health data that can be obtained from an EHR and associations between such data that are represented by graphical connections. The graphical elements and associations can be modified to reflect medical decision making.

Claims

1. A system for visualizing health information, comprising:

a repository interface to access health data objects for a given patient from an electronic health record (EHR) repository;

association data stored in memory separate from the EHR repository, the association data representing a link between selected health data objects for the given patient; and

a visualization engine to dynamically generate an interactive graphical map representing selected health data objects as graphical elements and representing links between the selected health data objects as graphical connections between related graphical elements based on the association data.

2. The system of claim 1, wherein the association data further comprises relevance data corresponding to a relevance value representing a determined association between a pair of health data objects.

3. The system of claim 2, wherein the visualization engine is programmed to generate the interactive graphical map to graphically differentiate a relative importance of the selected health data objects and the links between the selected health data objects based on the relevance data.

4. The system of claim 2, wherein the graphical connections comprise at least one relative graphically-represented parameter that is set according the relevance data.

5. The system of claim 4, wherein the relative graphically-represented parameter of the graphical connections comprises at least one of a relative length parameter and a relative thickness parameter.

6. The system of claim 1, wherein the graphical elements in the interactive graphical map comprise iconic representations of patient health data.

7. The system of claim 1, further comprising user controls to graphically modify the interactive graphical map in response to user inputs.

8. The system of claim 7, further comprising a document generator programmed to generate encounter data by capturing a process of clinical decision-making in response to the graphical modifications to the interactive graphical map and based on graphical actions performed on unassociated graphical elements, the encounter data being provided to the EHR repository via the repository interface.

9. The system of claim 8, wherein the document generator is programmed to assemble into a user-perceptible document defined by the encounter data that includes at least one of (i) metadata for each link between the selected health data objects, represented by the graphical connections in the interactive graphical map, (ii) health data objects for diagnostic concepts, represented by the graphical elements in the interactive graphical map, (iii) health data objects for lab data, represented by the graphical elements in the interactive graphical map, and (iv) health data objects for interventions, represented by the graphical elements in the interactive graphical map.

10. The system of claim 9, wherein the user-perceptible document provides data supporting proof of at least one of patient management and review of patient medical data.

11. The system of claim 7, wherein the visualization engine is programmed to display new graphical elements, corresponding to new health data objects not linked to any of the selected health data objects and separate from the interactive graphical map, the user controls being programmed to modify the interactive graphical map by graphically linking a user-selected one of the new graphical elements with at least one of the selected graphical elements via a dynamically created graphical connection, metadata for the graphical link being stored in the memory as part of the association data for the given patient.

12. The system of claim 11, wherein the graphical link is created by graphically dragging a given graphical element into a superimposition relative to another graphical element in response to a user input, such that the association data for the graphical link is generated for the resulting graphical link.

13. The system of claim 11, further comprising a health element generator programmed to generate a new graphical element and a corresponding health data object for the given patient, the corresponding health data object being stored as encounter data and provided to the EHR repository via the repository interface.

14. The system of claim 13, wherein the health element generator is programmed to automatically generate the new graphical element automatically based on analysis of health data objects received from the EHR repository for the given patient.

15. The system of claim 13, wherein the health element generator is programmed to generate the new graphical element and the corresponding health data object for the given patient in response to a user input, the corresponding health data object being stored in the EHR repository.

16. The system of claim 1, further comprising user role data stored in the memory for each of a plurality of users, the interactive graphical map varying in content and organization depending on the user role data for a given user of the system.

17. The system of claim 16, wherein the user is logged into the system with a user role, which comprises one of a physician, nurse or patient.

18. The system of claim 16, wherein the user role data further comprises user preference data stored in the memory, the user preference data for a current usage by a respective user being set based on prior usage of the system by the respective user, the system further comprising a display control to select the selected health data objects for use in generating the interactive graphical map and to arrange the interactive graphical map for the current usage according to the user preference data.

19. The system of claim 1, further comprising a rules engine programmed to evaluate health data objects for the given patient, to determine a relevance between health data objects and to suggest a link between health data objects as a suggested graphical connection between corresponding graphical elements, the suggested graphical connection being graphically differentiated from the graphical connections in the interactive graphical map until validated or invalidated in response to a user input.

20. The system of claim 19, wherein the suggested graphical connection has a graphical characteristic that varies as a function of a computed confidence that the health data objects being linked are related.

21. The system of claim 19, wherein the rules engine is programmed to analyze the health data objects and links between health data objects in the interactive graphical map in response to user-manipulation or user-modification thereof, encounter data being stored to reflect each user-manipulation or user-modification.

22. The system of claim 1, wherein the visualization engine comprises a diagnosis engine, the diagnosis engine being programmed to generate the interactive graphical map such that the graphical connections between the selected graphical elements in the interactive graphical map represent the association data in relation to at least one diagnosis for the given patient relating to the selected health data objects.

23. The system of claim 22, further comprising a rules engine programmed to evaluate the health data objects for the given patient by application of a set of predetermined rules and to generate a suggested graphical link between graphical elements in the interactive graphical map, the suggested graphical link corresponding to a diagnostic relationship between a potentially-related set of health data objects.

24. The system of claim 23, wherein the potentially-related set of health data objects comprises at least two of (i) health data objects for diagnostic concepts, represented by the graphical elements in the interactive graphical map, (ii) health data objects for lab data, represented by the graphical elements in the interactive graphical map, and (iii) health data objects for interventions, represented by the graphical elements in the interactive graphical map, the relationship between the potentially-related set of health data objects being represented as a graphical connection between corresponding graphical elements in the interactive graphical map according to metadata stored in the memory as part of the association data.

25. The system of claim 23, wherein the suggested graphical link is graphically differentiated from the graphical connections in the interactive graphical map until validated or invalidated by a user.

26. The system of claim 23, the diagnosis engine is programmed to evaluate the health data objects and links between data objects based on the association data for the given patient and to graphically suggest a potential problem for the given patient as a new graphical element that is graphically differentiated from the graphical elements in the interactive graphical map until the new graphical element is validated or invalidated by a user.

27. The system of claim 26, wherein the validation or invalidation of the new graphical element by the user is recorded as medical-decision making data related to at least one of patient management and review of clinical data for the given patient, the medical-decision making data being provided for storage in the EHR repository via the repository interface.

28. The system of claim 1, wherein the visualization engine generates the interactive graphical map as a three-dimensional graphical representation in which the graphical elements and related links are arranged hierarchically in three-dimensions according to their relative importance in driving a diagnosis for the given patient.

29. The system of claim 1, wherein the health data objects comprise temporal data indicating a time associated with the underlying health information,

wherein the association data for each link comprises temporal data indicating a time when the link between associated health data objects was validated or invalidated, and

the visualization engine being programmed to vary the interactive graphical map as based on the temporal data.

30. The system of claim 29, further comprising controls programmed to animate the interactive graphical map for the given patient over a time period based on the health data objects and the association data as a function of the temporal data, temporal changes being presented in the interactive graphical map to graphically represent medical decision making over time for the given patient.

31. The system of claim 1, wherein the health data objects are selected as a group comprising at least one of:

problem data objects representing problems that form a problem list for the given patient;

intervention data objects representing interventions initiated by a user for the given patient; and

clinical data objects representing clinical data acquired for the given patient.

32. The system of claim 31, further comprising a documentation generator programmed to record, as medical decision-making data, user-manipulation of the graphical elements representing health data objects and user-manipulation of the graphical connections representing links between the selected health data objects to document at least one of patient management and review of clinical data for the given patient, the medical decision-making data being provided for storage in the EHR repository via the repository interface.

33. A non transitory computer readable medium that stores instructions for performing a method comprising:

accessing health data objects for a given patient from an electronic health record (EHR) system;

storing association data to represent a link between health data objects for the given patient, the association data being stored separately from the EHR system; and

dynamically generating an interactive graphical map representing selected health data objects as graphical elements and representing links between the selected health data objects as graphical connections between related graphical elements based on the association data.

34. The medium of claim 33, wherein the method further comprises graphically modifying the interactive graphical map.

35. The medium of claim 34, wherein the method further comprises generating encounter data by capturing a process of clinical decision-making of the user in response to the graphical modifications to the interactive graphical map.

36. The medium of claim 34, wherein the method further comprises:

generating new graphical elements, corresponding to new health data objects not yet linked to any of the selected health data objects;

modifying the interactive graphical map by graphically linking a user-selected one of the new graphical elements with at least one of the selected graphical elements via a dynamically created graphical connection; and

storing metadata corresponding to the graphical link in memory as part of the association data for the given patient.

37. The medium of claim 34, wherein the graphical link is created by graphically dragging a given graphical element into a superimposition relative to another graphical element in response to a user input, such that the association data for the graphical link is generated for the resulting graphical link.

38. The medium of claim 34, wherein the method further comprises:

generating a new graphical element and a corresponding health data object for the given patient;

storing the corresponding health data object as encounter data; and

providing the encounter data to the EHR system.

39. The medium of claim 38, wherein the new graphical element and the corresponding health data object are one of (i) automatically generated based on analysis of health data objects received from the EHR system for the given patient or (ii) generated for the given patient in response to a user input.

40. The medium of claim 33, wherein the method further comprises varying in content and organization depending on user role data that is stored for each respective user.

41. The medium of claim 33, wherein the method further comprises:

evaluating health data objects for the given patient to determine a relevance between health data objects

generating a suggested link between health data objects as a suggested graphical connection between corresponding graphical elements, the suggested graphical connection being graphically differentiated from other graphical connections in the interactive graphical map until validated or invalidated in response to a user input.

42. The medium of claim 41, wherein the suggested graphical connection has a graphical characteristic that varies as a function of a computed confidence that the health data objects being linked are related.

43. The medium of claim 33, wherein the method further comprises:

analyzing the health data objects and links between health data objects in the interactive graphical map in response to user-manipulation or user-modification thereof, and

storing encounter data in response to the user-manipulation or user-modification.

44. The medium of claim 33, wherein the graphical connections between the selected graphical elements in the interactive graphical map represent the association data in relation to at least one diagnosis for the given patient relating to a selected set of health data objects, the method further comprising:

applying a set of predetermined rules to evaluate the health data objects for the given patient; and

generating a suggested graphical link between graphical elements in the interactive graphical map, the suggested graphical link corresponding to a diagnostic relationship between a potentially-related set of health data objects.

45. The medium of claim 44, wherein the potentially-related set of health data objects comprises at least two health data objects comprising (i) health data objects for diagnostic concepts, represented by the graphical elements in the interactive graphical map, (ii) health data objects for lab data, represented by the graphical elements in the interactive graphical map, and (iii) health data objects for interventions, represented by the graphical elements in the interactive graphical map,

wherein the relationship between the at least two health data objects is represented as a graphical connection between corresponding graphical elements in the interactive graphical map according to metadata stored as part of the association data.

46. The medium of claim 45, wherein the suggested graphical link is graphically differentiated from the graphical connections in the interactive graphical map until validated or invalidated in response to a validation user input.

47. The medium of claim 44, wherein the method further comprises recording the validation or invalidation of the suggested graphical link as medical-decision making data related to at least one of patient management and review of clinical data for the given patient, the medical-decision making data being provided for storage in the EHR system.

48. The medium of claim 33, wherein the association data further comprise temporal data indicating a time associated with the underlying health information,

wherein the association data for each link comprises temporal data indicating a time when the link between associated health data objects was validated, and

the method further comprising varying the interactive graphical map as based on the temporal data.

49. The medium of claim 48, wherein the method further comprises animating the interactive graphical map for the given patient over a time period based on the health data objects and the association data that vary as a function of the temporal data, temporal changes being presented in the interactive graphical map to graphically represent medical decision making for the given patient over the time period.