System and method for using an artificial intelligence engine to anonymize competitive performance rankings in a rehabilitation setting
The present disclosure provides a method comprising the steps: receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan including an exercise; receiving first measurement data, where the first measurement data is associated with a first performance data; receiving second measurement data, where the second measurement data is associated with at least one of a second performance data and a second patient identifier; one of anonymiztion of and pseudonymization of the second patient identifier; determining, via an artificial intelligence engine and based on one or more differences between the first and the second measurement data, differential data; and presenting, with a patient interface, at least one of the differential data, first measurement data, second measurement data, and the first patient data.
1 . A method for performing an exercise with an exercise apparatus, the method comprising:
receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan including an exercise, wherein the first treatment plan is generated by one or more computer-implemented models trained using training data comprising inputs mapped to outputs, wherein the inputs are associated with medical conditions of users and the outputs are associated with treatment plans;
receiving first measurement data, wherein the first measurement data is associated with a first performance data;
receiving second measurement data, wherein the second measurement data is associated with at least one of a second performance data and a second patient identifier;
performing one of anonymization of and pseudonymization of the second patient identifier;
determining, via an artificial intelligence (AI) engine and based on one or more differences between the first and the second measurement data, differential data;
presenting, with a patient interface, at least one of the differential data, first measurement data, second measurement data, and the first patient data;
based on the first treatment plan, controlling, via the one or more computer-implemented models, the exercise apparatus by automatically modifying an operating parameter of a physical portion of the exercise apparatus.
2 . The method of claim 1 , further comprising modifying, via the AI engine and based on the differential data, an operating parameter of the exercise apparatus.
3 . The method of claim 2 , wherein controlling comprises transmitting an instruction,
and wherein, further, the instruction comprises modifying an operating state of the exercise apparatus.
4 . The method of claim 3 , wherein transmitting an instruction further comprises transmitting, to the user interface, an input, and wherein, the input is displayed in the user interface.
5 . The method of claim 3 , wherein the first patient data is generated via the AI engine and associated with at least one of a prior exercise and a concurrent exercise.
6 . The method of claim 1 , wherein the one or more differences comprises one or more qualitative differences.
7 . The method of claim 1 , wherein the one or more differences comprises one or more quantitative differences.
8 . The method of claim 1 , wherein the second measurement data is generated via the AI engine and based on a statistic related to or derived from performance data of a cohort of patients.
9 . The method of claim 8 , wherein the second measurement data is associated with a characteristic generated via the AI engine and based on the performance data of the cohort of patients.
10 . The method of claim 9 , wherein the characteristic is generated via the AI engine and based on data from the cohort of patients.
11 . The method of claim 10 , wherein the second measurement data is received in real-time or near real-time.
12 . A system for performing an exercise with an exercise apparatus, the system comprising:
a processing device;
an artificial intelligence (AI) engine executed by the processing device;
a memory including instruction that, when executed by the processing device, cause the processing device to:
receive first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan including an exercise, wherein the first treatment plan is generated by one or more computer-implemented models trained using training data comprising inputs mapped to outputs, wherein the inputs are associated with medical conditions of users and the outputs are associated with treatment plans;
receive first measurement data, where the first measurement data is associated with a first performance data;
receive second measurement data, where the second measurement data is associated with at least one of a second performance data and a second patient identifier;
anonymize the second patient identifier;
determine, via the artificial intelligence engine and based on one or more differences between the first and the second measurement data, differential data;
present, with a patient interface, at least one of the differential data, first measurement data, second measurement data, and the first patient data; and
based on the first treatment plan, control, via the one or more computer-implemented models, the exercise apparatus by automatically modifying an operating parameter of a physical portion of the exercise apparatus.
13 . The system of claim 12 , wherein the processing device is further configured to modify, via the AI engine and based on the differential data, an operating parameter of the exercise apparatus.
14 . The system of claim 13 , wherein transmitting an instruction further comprises transmitting, to the user interface, an input, and wherein, the input is displayed in the user interface.
15 . The system of claim 13 , wherein the first patient data is generated via the AI engine and associated with at least one of a prior exercise and a concurrent exercise.
16 . The system of claim 13 , wherein controlling comprises transmitting an instruction, and wherein, further, the instruction comprises modifying an operating state of the exercise apparatus.
17 . The system of claim 12 , wherein the second measurement data is generated via the AI engine and based on a statistic related to or derived from performance data of a cohort of patients.
18 . The system of claim 17 , wherein the second measurement data is associated with a characteristic generated via the AI engine and based on the performance data of the cohort of patients.