System and method for using AI/ML and telemedicine to integrate rehabilitation for a plurality of comorbid conditions
A computer-implemented system includes one or more processing devices configured to receive comorbidity information that includes a plurality of comorbidities or comorbidity-related conditions associated with a user, generate a selected set of the comorbidity information, determine, based on the selected set of the comorbidity information, respective probabilities of a plurality of different outcomes related to the comorbidity information, and generate, based on the respective probabilities and the selected set of the comorbidity information, a treatment plan comprising one or more exercises directed to changing the respective probabilities. A treatment apparatus is configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.
1 . A treatment apparatus responsive to a computer-implemented system for controlling the treatment apparatus, the treatment apparatus comprising:
one or more processing devices configured to
generate, based on respective probabilities, assigned weights and/or priorities, and a selected set of comorbidity information, a treatment plan comprising one or more exercises directed to changing the respective probabilities, wherein
the treatment plan defines a first target range of values for at least one of (i) user characteristics measured while the treatment plan is performed using the treatment apparatus and (ii) operating parameters of the treatment apparatus while the treatment plan is performed using the treatment apparatus, wherein the first target range of values corresponds to a targeted range for treating a first comorbidity or comorbidity-related condition; and
generate, based on the first target range of values, and weights and/or priorities as assigned, respectively, to the first comorbidity or comorbidity-related condition, an adjusted range of values for the at least one of (i) the user characteristics measured while the treatment plan is performed using the treatment apparatus and (ii) the operating parameters of the treatment apparatus while the treatment plan is performed using the treatment apparatus, wherein the adjusted range of values corresponds to an adjusted target range for treating the first comorbidity or comorbidity-related condition; and
an electromechanical machine configured to implement the one or more exercises of the treatment plan while the treatment apparatus is being manipulated by the user by (i) controlling, based on the treatment plan and the adjusted range of values, the operating parameters of the electromechanical machine of the treatment apparatus, (ii) generating and transmitting, to the one or more processing devices, the user characteristics as measured while the user uses the electromechanical machine to perform the treatment plan, and (iii) selectively adjusting the operating parameters in response to modifications, by the one or more processing devices, of the treatment plan.
2 . The treatment apparatus of claim 1 , wherein the comorbidity information includes at least one of a cardiac condition, an orthopedic condition, an oncologic condition, a pulmonary condition, a bariatric condition, and a diabetic history.
3 . The treatment apparatus of claim 1 , wherein, to change the respective probabilities, the treatment plan is configured to at least one of increase a probability of a positive outcome and decrease a probability of a negative outcome.
4 . The treatment apparatus of claim 1 , wherein the one or more processing devices are configured to execute a comorbidity model, and wherein, to generate the selected set of the comorbidity information, the comorbidity model is configured to at least one of assign the weights to the first comorbidity or comorbidity-related condition, assign the priorities to the first comorbidity or comorbidity-related condition, rank the first comorbidity or comorbidity-related condition, and filter the first comorbidity or comorbidity-related condition.
5 . The treatment apparatus of claim 1 , wherein the one or more processing devices are configured to execute a probability model, wherein the probability model is configured to determine the respective probabilities.
6 . The treatment apparatus of claim 4 , wherein the one or more processing devices are configured to execute a treatment plan model, wherein the treatment plan model is configured to generate the treatment plan to change the respective probabilities.
7 . The treatment apparatus of claim 6 , wherein the treatment plan model is configured to generate the treatment plan based on the at least one of the assigned weights, the assigned priorities, and the rank of the first comorbidity or comorbidity-related condition.
8 . The treatment apparatus of claim 1 , wherein, based on a determination of whether the respective probabilities changed and subsequent to implementing the treatment plan using the treatment apparatus, the one or more processing devices are configured to modify the treatment plan.
9 . The treatment apparatus of claim 8 , wherein the one or more processing devices are configured to transmit the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.
10 . The treatment apparatus of claim 1 , wherein the one or more processing devices are configured to initiate, while the user performs the treatment plan, a telemedicine session between a computing device of the user and a computing device of a healthcare professional.
11 . A method for controlling a treatment apparatus, the method comprising:
at one or more processing devices:
generating, based on respective probabilities and a selected set of the comorbidity information, a treatment plan comprising one or more exercises directed to changing the respective probabilities, wherein
the treatment plan defines a first target range of values for at least one of (i) user characteristics measured while the treatment plan is performed using the treatment apparatus and (ii) operating parameters of the treatment apparatus while the treatment plan is performed using the treatment apparatus, wherein the first target range of values corresponds to a targeted range for treating a first comorbidity or comorbidity-related condition; and
generating, based on the first target range of values, and weights and/or priorities as assigned, respectively, to the comorbidity or comorbidity-related condition, an adjusted range of values for the at least one of (i) the user characteristics measured while the treatment plan is performed using the treatment apparatus and (ii) the operating parameters of the treatment apparatus while the treatment plan is performed using the treatment apparatus, wherein the adjusted range of values corresponds to an adjusted target range for treating the first comorbidity or comorbidity-related condition; and
using an electromechanical machine, implementing the one or more exercises of the treatment plan while the treatment apparatus is being manipulated by the user by (i) controlling, based on the treatment plan and the adjusted range of values, the operating parameters of the electromechanical machine, (ii) generating and transmitting, to the one or more processing devices, the user characteristics as measured while the user uses the electromechanical machine to perform the treatment plan, and (iii) selectively adjusting the operating parameters in response to modifications, by the one or more processing devices, of the treatment plan.
12 . The method of claim 11 , wherein the comorbidity information includes at least one of a cardiac condition, an orthopedic condition, an oncologic condition, a pulmonary condition, a bariatric condition, and a diabetic history.
13 . The method of claim 11 , wherein changing the respective probabilities includes at least one of increasing a probability of a positive outcome and decreasing a probability of a negative outcome.
14 . The method of claim 11 , further comprising executing a comorbidity model to generate the selected set of the comorbidity information by at least one of assigning the weights to the first comorbidity or comorbidity-related condition, assigning priorities to the first comorbidity or comorbidity-related condition, ranking the first comorbidity or comorbidity-related condition, and filtering the first comorbidity or comorbidity-related condition.
15 . The method of claim 11 , further comprising executing a probability model to determine the respective probabilities.
16 . The method of claim 14 , further comprising executing a treatment plan model to generate the treatment plan to change the respective probabilities.
17 . The method of claim 16 , further comprising, based on the at least one of the assigned weights, the assigned priorities, and the rank of the first comorbidity or comorbidity-related condition, generating the treatment plan.
18 . The method of claim 11 , further comprising, based on a determination of whether the respective probabilities changed and subsequent to implementing the treatment plan using the treatment apparatus, modifying the treatment plan.
19 . The method of claim 18 , further comprising transmitting the modified treatment plan to cause the treatment apparatus to implement at least one modified exercise of the modified treatment plan.
20 . The method of claim 13 , further comprising initiating, while the user performs the treatment plan, a telemedicine session between a computing device of the user and a computing device of a healthcare professional.