Predictive medical device consultation
Presented herein are predictive consultation techniques for use with medical devices. The techniques presented herein, sometimes referred to herein as “predictive medical device consultation techniques,” can include, for example, generation of one or more clinical predictions related to timing of future clinical appointments and/or one or more clinical predictions related to the selection of a medical device for the recipient.
1 . A method, comprising:
at a computing device:
obtaining audiological data representing hearing capabilities of a recipient;
obtaining personal data of the recipient;
obtaining ancillary data related to a hearing device;
predicting, using an artificial intelligence system, one or more future hearing outcomes for the recipient based on an analysis of the audiological data, the personal data, and the ancillary data;
and
instantiating, based on the one or more future hearing outcomes, one or more settings of the hearing device to change one or more operations of the hearing device.
2 . The method of claim 1 , wherein the artificial intelligence system is trained based on correlated normative data comprising personal data and audiological data associated with other hearing device recipients.
3 . The method of claim 1 , further comprising:
analyzing, using the artificial intelligence system, one or more audiograms representing the one or more future hearing outcomes to determine an estimated time period for the hearing capabilities of the recipient to undergo a predetermined change; and
generating an estimated time for a future clinical appointment based on the estimated time period for the hearing capabilities of the recipient to undergo the predetermined change.
4 . The method of claim 3 , wherein determining, based on the one or more audiograms representing the one or more future hearing outcomes, an estimated time period for the hearing capabilities of the recipient to undergo a predetermined change comprises:
determining a current hearing level of the recipient; and
estimating, based on the one or more future hearing outcomes, a time period for the current hearing level of the recipient to reach a second hearing level.
5 . The method of claim 4 , wherein the second hearing level is a level determined relative to the current hearing level of the recipient.
6 . The method of claim 3 , wherein generating the estimated time for the future clinical appointment based on the estimated time period for the hearing capabilities of the recipient to undergo the predetermined change comprises:
multiplying the estimated time period for the hearing capabilities of the recipient to undergo the predetermined change by a variance factor.
7 . The method of claim 1 , further comprising:
obtaining one or more clinical standards associated with a change in hearing loss requiring further clinical intervention; and
generating an estimated time for a future clinical appointment based on the one or more future hearing outcomes and the one or more clinical standards.
8 . The method of claim 1 , wherein the recipient is a hearing device recipient using a hearing device for hearing rehabilitation, and wherein the method further comprises:
obtaining operational parameters associated with the hearing device; and
generating an estimated time for a future clinical appointment for the recipient based on an analysis of the audiological data, the personal data, and the operational parameters associated with the hearing device.
9 . The method of claim 1 , wherein the one or more future hearing outcomes include a first evolution of hearing capabilities of the recipient over a future period with an aid of the hearing device and a second evolution of hearing capabilities of the recipient over the future period without the aid of the hearing device, and wherein the ancillary data comprises one or more device attributes of the hearing device, one or more costs associated with the hearing device, or a clinical time associated with use of the hearing device.
10 . The method of claim 1 , further comprising:
controlling, based on the instantiating, an amount of stimulation provided by the hearing device to the recipient.
11 . A method, comprising:
at a computing device:
obtaining audiological data representing hearing capabilities of a recipient;
obtaining personal data of the recipient;
obtaining ancillary data related to a hearing device;
predicting, using an artificial intelligence system, one or more future hearing outcomes for the recipient based on an analysis of the audiological data, the personal data, and the ancillary data; and
providing, based on the one or more future hearing outcomes, a treatment to the recipient, wherein the treatment includes a prescription of the hearing device.
12 . The method of claim 11 , wherein providing, based on the one or more future hearing outcomes, the treatment to the recipient includes:
generating a recommendation of the hearing device through a relative analysis of the one or more future hearing outcomes.
13 . The method of claim 12 , wherein predicting the one or more future hearing outcomes for the recipient based on the analysis of the audiological data and the personal data comprises:
generating one or more forecast audiograms for the recipient; and
analyzing, using an artificial intelligence system, the one or more forecast audiograms to determine an estimated time period for the hearing capabilities of the recipient to undergo a predetermined change.
14 . The method of claim 12 , wherein predicting the one or more future hearing outcomes for the recipient based on the analysis of the audiological data and the personal data comprises:
predicting a plurality of future hearing outcomes for the recipient,
wherein two or more of the plurality of future hearing outcomes are associated with predicted use of different hearing devices by the recipient.
15 . The method of claim 12 , wherein predicting the one or more future hearing outcomes for the recipient based on the analysis of the audiological data and the personal data comprises:
predicting a plurality of future hearing outcomes for the recipient,
wherein two or more of the plurality of future hearing outcomes are associated with predicted use of at least one of one or more different hearing devices or different hearing device settings.
16 . The method of claim 12 , wherein predicting the one or more future hearing outcomes for the recipient based on the analysis of the audiological data the personal data comprises:
predicting a plurality of future hearing outcomes for the recipient,
wherein one or more of the plurality of future hearing outcomes are associated with use of one or more hearing devices by the recipient, and at least one of the plurality of future hearing outcomes is associated with unaided hearing of the recipient.
17 . The method of claim 11 , wherein the hearing device comprises a cochlear implant, a hearing aid, or a bone conduction device, and wherein predicting, using the artificial intelligence system, the one or more future hearing outcomes for the recipient based on the analysis of the audiological data, the personal data, and the ancillary data comprises:
analyzing the audiological data, the personal data, and the ancillary data with the artificial intelligence system.
18 . The method of claim 11 , wherein providing, based on the one or more future hearing outcomes, the treatment to the recipient comprises:
generating a recommendation of the hearing device based on one or more hearing device attributes,
wherein the one or more hearing device attributes include at least one of device size, device aesthetics, device battery use information, and device wearing method.
19 . The method of claim 11 , wherein providing, based on the one or more future hearing outcomes, the treatment to the recipient comprises:
generating a recommendation of the hearing device based on costs associated with one or more hearing devices.
20 . The method of claim 11 , wherein the recipient is a hearing device recipient using a hearing device for hearing rehabilitation, and wherein the method further comprises:
obtaining operational parameters associated with the hearing device; and
generating a recommendation of a hearing device for the recipient based on an analysis of the audiological data, the personal data, and the operational parameters associated with the hearing device.