Method and Apparatus for Predicting Outcome of Hearing Device Implantation

• US 20140324458A1
• Filed: 04/29/2013
• Published: 10/30/2014
• Est. Priority Date: 04/29/2013
• Status: Abandoned Application

• Current Assignee: Cochlear Limited
• Original Assignee: Cochlear Limited
• Inventors: Carpenter, Ryan, Feeney, Nicholas
• Application Number:
  US13/872,692
• Publication Number:
  US 20140324458A1
• Time in Patent Office: Days
• US Class Current: 705/3
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A computing system provides an interface through which to receive self-characterizations of hearing performance and the like from candidates for hearing device implantation and from hearing device recipients. Provided with a candidate'"'"'s pre-implantation self-characterization, the computing system searches through data to identify recipients whose entered pre-implantation self-characterizations match those of the candidate, and the computing system outputs as a predicted outcome of hearing device implantation a representation of post-implantation self-characterizations entered by the identified recipients.

Claims

1. A method for predicting outcome of hearing device implantation in a candidate, the method comprising:

receiving, into a computing system, training data entered by a set of people, the training data including, respectively for each person of the set, (i) pre-implantation data entered by the person before hearing device implantation in the person, wherein the pre-implantation data entered by the person represents a characterization by the person of one or more pre-implantation levels of hearing performance of the person and a characterization by the person of one or more goals for hearing improvement in the person, and (ii) post-implantation data entered by the person after hearing device implantation in the person, wherein the post-implantation data entered by the person represents a characterization by the person of one or more post-implantation levels of hearing performance of the person;

receiving, into the computing system, candidate data including pre-implantation data entered by the candidate before hearing device implantation in the candidate, wherein the pre-implantation data entered by the candidate represents a characterization by the candidate of one or more pre-implantation levels of hearing performance of the candidate and a characterization by the candidate of one or more goals for hearing improvement in the candidate; and

searching by the computing system through the training data to identify one or more people whose entered pre-implantation data matches the pre-implantation data entered the candidate, and outputting by the computing system, as a prediction of outcome of hearing device implantation in the candidate, a representation of the post-implantation data entered by the identified one or more people.

2. The method of claim 1,

wherein the pre-implantation data entered by each person of the set further represents a characterization by the person of one or more expectations by the person for hearing improvement that will result from hearing device implantation in the person, and

wherein the pre-implantation data entered by the candidate further represents a characterization by the candidate of one or more expectations by the candidate for hearing improvement that will result from hearing device implantation in the candidate.

3. The method of claim 1, wherein the one or more goals for hearing improvement in the candidate comprises multiple goals for hearing improvement in the candidate, and wherein the characterization by the candidate of the one or more goals for hearing improvement in the candidate further comprises prioritization by the candidate of the multiple goals.

4. The method of claim 1, wherein receiving into the computing system the candidate data including the pre-implantation data entered by the candidate comprises:

outputting by the computing system, for presentation on a display, (i) at least one progression of pictorial representations of scenarios of increasing hearing-complexity, ranging from a first pictorial representation of a least-complex hearing scenario to a last pictorial representation of a most-complex hearing scenario and (ii) a prompt for the candidate to select at least one of the pictorial representations as the characterization by the candidate of the one or more pre-implantation levels of hearing performance of the candidate; and

receiving into the computing system, as at least part of the characterization by the candidate of the one or more pre-implantation levels of hearing performance of the candidate, data representing selection by the candidate of one or more or the pictorial representations in response to the prompt.

5. The method of claim 4, wherein each pictorial representation includes both a picture and an associated text description.

6. The method of claim 4, wherein the at least one progression of pictorial representations comprises:

a first progression of pictorial representations of scenarios involving hearing in quiet conditions;

a second progression of pictorial representations of scenarios involving hearing in noisy conditions; and

a third progression of pictorial representations of scenarios involving hearing music.

7. The method of claim 4, wherein the at least one progression of pictorial representations comprises multiple progressions of pictorial representations, and wherein receiving into the computing system the candidate data including the pre-implantation data entered by the candidate comprises:

receiving into the computing system, as at least part of the characterization by the candidate of the one or more pre-implantation levels of hearing performance of the candidate, data representing selection by the candidate of one or more pictorial representations respectively from each progression of pictorial representations.

8. The method of claim 4, wherein receiving into the computing system the pre-implantation data entered by each person of the set comprises:

outputting by the computing system, for presentation on a display, (i) the at least one progression of pictorial representations of scenarios of increasing hearing-complexity and (ii) a prompt for the person to select at least one of the pictorial representations as the characterization by the person of the one or more pre-implantation levels of hearing performance of the person; and

receiving into the computing system, as at least part of the characterization by the person of the one or more pre-implantation levels of hearing performance of the person, data representing selection by the person of one or more or the pictorial representations.

9. The method of claim 1, wherein hearing device implantation comprises implantation of a hearing device selected from the group consisting of a cochlear implant, a middle-ear implant, a bone anchored hearing aid, and an auditory brainstem implant.

10. The method of claim 1, wherein the computing system is accessible via a network, and wherein:

receiving the training data into the computing system comprises receiving the training data into the computing system via the network from one or more client stations; and

receiving the pre-implantation data entered by the candidate into the computing system comprises receiving the pre-implantation data via the network from one or more client stations.

11. The method of claim 1, wherein searching by the computing system through the training data to identify one or more people whose entered pre-implantation data matches the pre-implantation data entered by the candidate comprises searching by the computing system through the training data to identify one or more people whose entered pre-implantation data most closely matches the pre-implantation data entered by the candidate.

12. The method of claim 1, wherein outputting by the computing system the representation of the post-implantation data entered by the identified one or more people comprises outputting by the computing system a graphical user interface depicting the representation of the post-implantation data entered by the identified one or more people.

13. The method of claim 1, wherein outputting by the computing system the representation of the post-implantation data entered by the identified one or more people comprises outputting for presentation to the candidate the representation of the post-implantation data entered by the identified one or more people.

14. The method of claim 1, wherein outputting by the computing system the representation of the post-implantation data entered by the identified one or more people comprises outputting for presentation to a clinician the representation of the post-implantation data entered by the identified one or more people,

whereby presentation to the clinician of the representation of the post-implantation data entered by the identified one or more people may assist the clinician in providing pre-implantation advice to the candidate.

15. The method of claim 1, further comprising:

outputting, by the computing system, for presentation to the candidate, a representation of at least a portion of the received training data before the candidate enters at least a portion of the candidate data,

whereby presentation to the candidate of the representation of at least the portion of the received training data may assist the candidate in further entry of the candidate pre-implantation data, which may in turn refine the searching of the training data to identify the one or more people whose entered pre-implantation data matches the pre-implantation data entered the candidate.

16. The method of claim 15, further comprising the computing system selecting the portion of the received training data based on pre-implantation data entered by the candidate so far.

17. The method of claim 1, further comprising:

outputting, by the computing system, for presentation to the candidate, a representation of multiple character studies, wherein each character study includes a story of a respective individual having had hearing difficulty and having then received hearing device implantation,

whereby presentation to the candidate of the representation of the character studies may assist the candidate in establishing realistic goals and expectations for hearing improvement.

18. The method of claim 17, further comprising:

outputting, by the computing system, for presentation to the candidate, a prompt for the candidate to select at least one of the presented character studies with which the candidate most closely associates,

wherein the pre-implantation data entered by the candidate further represents a selection by the candidate, in response to the prompt, of at least one of the presented character studies.

19. A method for predicting outcome of hearing device implantation in a candidate, the method comprising:

presenting, by a computing system, a first graphical user interface that (i) includes at least one progression of pictorial representations of scenarios of increasing hearing-complexity, ranging from a first pictorial representation of a least-complex hearing scenario to a last pictorial representation of a most-complex hearing scenario and (ii) prompts the candidate to select any of the pictorial representations as an indication of level of hearing-difficulty of the candidate;

receiving, into the computing system, from the candidate, in response to the prompt, a selection of one of the pictorial representations as an indication of level of hearing-difficulty of the candidate;

using, by the computing system, the selection as a basis to search for and identify one or more descriptions of post-implantation hearing improvement in hearing-device implant recipients; and

presenting, by the computing system, a second graphical user interface that depicts the one or more identified post-implantation descriptions of hearing improvement.

20. The method of claim 19, wherein each pictorial representation includes both a picture and an associated text description.

21. The method of claim 19, wherein the receiving the selection from the candidate comprises receiving the selection from the candidate before hearing device implantation in the candidate.

22. The method of claim 19, wherein presenting the second graphical user interface comprises presenting the second graphical user interface to the candidate,

whereby presenting the second graphical user interface to the candidate may assist the candidate in establishing realistic expectations for hearing improvement that may result from hearing device implantation in the candidate.

23. The method of claim 19, wherein presenting the second graphical user interface comprises presenting the second graphical user interface to a clinician,

whereby presenting the second graphical user interface to the clinician may assist the clinician in advising the candidate of hearing improvement that may result from hearing device implantation in the candidate.

24. A non-transitory computer readable medium having encoded thereon program instructions executable by a processing unit to carry out functions comprising:

receiving training data entered by a set of people, the training data including, respectively for each person of the set, (i) pre-implantation data entered by the person before hearing device implantation in the person, wherein the pre-implantation data entered by the person represents a characterization by the person of one or more pre-implantation levels of hearing performance of the person, and (ii) post-implantation data entered by the person after hearing device implantation in the person, wherein the post-implantation data entered by the person represents a characterization by the person of one or more post-implantation levels of hearing difficulty of the person;

receiving candidate data including pre-implantation data entered by a candidate before hearing device implantation in the candidate, wherein the pre-implantation data entered by the candidate represents a characterization by the candidate of one or more pre-implantation levels of hearing performance of the candidate;

searching through the training data to identify one or more people whose entered pre-implantation data matches the pre-implantation data entered the candidate; and

outputting for display, as a prediction of outcome of hearing device implantation in the candidate, a representation of the post-implantation data entered by the identified one or more people.

25. The non-transitory computer readable medium of claim 24,

wherein the pre-implantation data entered by each person of the set further includes one or more characterizations by the person of one or more goals for hearing improvement in the person;

and

wherein the pre-implantation data entered by the candidate further includes one or more characterizations by the candidate of one or more goals for hearing improvement in the candidate.

26. The non-transitory computer readable medium of claim 24, wherein searching through the training data to identify one or more people whose entered pre-implantation data matches the pre-implantation data entered the candidate comprises searching through the training data to identify one or more people whose entered pre-implantation data most closely matches the pre-implantation data entered by the candidate.

27. The non-transitory computer readable medium of claim 24, wherein the functions further comprise:

outputting, for presentation to the candidate, a representation of at least a portion of the received training data before the candidate enters at least a portion of the candidate data,

whereby presentation to the candidate of the representation of at least the portion of the received training data may assist the candidate in further entry of the candidate pre-implantation data, which may in turn refine the searching of the training data to identify the one or more people whose entered pre-implantation data matches the pre-implantation data entered the candidate.

28. The non-transitory computer readable medium of claim 27, further comprising:

selecting, by the computing system, the portion of the received training data based on pre-implantation data entered by the candidate so far.

29. The non-transitory computer readable medium of claim 24, wherein the functions further comprise:

outputting, for presentation to the candidate, a representation of one or more stories of individuals who had hearing difficulty and then received hearing device implantation,

whereby presentation to the candidate of the representation of one or more stories may assist the candidate in establishing realistic goals and expectations for hearing improvement.