Abstract: A computer-implemented system includes an assistant interface for providing remote medical assistance to aid a patient in performing various aspects of a rehabilitation regimen for a body part comprising a joint, a bone, or a muscle group. The assistant interface is configured to communicate, via a network connection, a telemedicine signal with the patient interface. The telemedicine signal is configured to control the patient interface and/or a treatment apparatus configured to be manipulated by the patient to perform the rehabilitation regimen. The patient interface and the treatment apparatus are at a patient location geographically separate from a location of the assistant interface. The telemedicine signal includes one or more of an audio signal, an audiovisual signal, an interface control signal for controlling a function of the patient interface, and/or an apparatus control signal for changing an operating parameter of the treatment apparatus.

Abstract: Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, an alignment plan capable of enabling, during a treatment session, the aligning of a user's body. The method comprises generating machine learning models trained to identify alignment plans. The method also comprises receiving treatment data that comprises a first position of the user's body, aspects of a treatment plan, and one or more attributes of the user. The method further comprises generating the alignment plan by using the machine learning models. The generating is based on at least the aspects of the treatment plan and at least one of the one or more attributes of the user. The alignment plan may comprise a target position of the user's body and one or more elements for adjusting the user's body from the first position to the target position. The method also comprises transmitting the plan to a computing device.

Abstract: A method includes receiving treatment data pertaining to a user capable of using a treatment device to perform a treatment plan and receiving activity data pertaining to the user while the user engages in at least one activity. The method also includes generating treatment information using the treatment data and the activity data and writing to an associated memory, for access by a healthcare professional, the treatment information. The method also includes modifying at least one aspect of the treatment plan in response to receiving, from the healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.

Abstract: Systems, methods, and computer-readable mediums for operating an electromechanical device are disclosed. The system includes, in one example, the electromechanical device, a patient portal, and a computing device. The computing device is configured to receive user data relating to a user, and receive treatment data relating to treatment plans and outcomes. The computing device is also configured to generate a prehabilitation plan by using a machine learning model to process the user data and the treatment data. The computing device is further configured to select, for the electromechanical device, an electromechanical device configuration that enables exercises of the prehabilitation plan to be performed by the user such that performance improves an area of the user's body. The computing device is also configured to enable the electromechanical device to implement the electromechanical device configuration.

Abstract: A computer-implemented system for processing medical claims is disclosed. The computer-implemented system includes a medical device configured to be manipulated by a user while the user performs a treatment plan; a patient interface associated with the medical device, the patient interface comprising an output configured to present telemedicine information associated with a telemedicine session; and a processor. The processor is configured to, during the telemedicine session, receive device-generated information from the medical device; generate a first biometric signature; using the device-generated information, generate a second biometric signature; using the first and second biometric signatures, generate a signature comparison; using the signature comparison, generate a signature indicator; and transmit the signature indicator.

Abstract: A method is disclosed. The method may include, while the patient uses the treatment apparatus, controlling, based on a treatment plan for a patient, a treatment apparatus. The method may include receiving, by a processing device, data from an electronic device, wherein the data comprises a measurement pertaining to performance of a treatment plan by a patient using a treatment apparatus, a characteristic pertaining to the patient, or both. The method may include storing, via the processing device, the data for the patient in a computer-readable medium. The method may include using a privacy-enhancing technology (PET) engine to control access to personally identifiable information (PII) associated with the patient.

Abstract: A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.

Abstract: Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor. The method comprises generating one or more machine learning models trained to identify alignment plans. The method also comprises receiving user data and determining that a targeted portion of a body of the user is outside of a field of view of the imaging sensor. The method further comprises generating the one or more alignment plans using the one or more machine learning models. Each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from a first location to the target location. The method also comprises transmitting the one or more alignment plans to a computing device.

Abstract: A method for displaying clinician user interface generated by a computer is disclosed. The method may include, displaying clinician user interface generated by a computer. The method may also include a profile display presenting information regarding a treatment history of a patient. The method may also include a protocol management display presenting a treatment plan, with the treatment plan comprising a plurality of treatment protocols. The method may also include a plan modification control configured to modify the plurality of treatment protocols of the treatment plan. The method may include a login interface configured to enable a person to access the clinician user interface by providing a credential associated with one of a plurality of user accounts. The method may include wherein each of the plurality of user accounts has a corresponding set of permissions controlling access to patient data on the clinician user interface.

Abstract: Systems and methods for positioning one or more sensors on a user. The system has user sensors, apparatus sensors, and treatment sensors.

Abstract: A computer-implemented system includes a treatment apparatus configured to be manipulated by a patient while performing a treatment plan and a server computing device configured to execute an artificial intelligence engine to generate the treatment plan and a billing sequence associated with the treatment plan. The server computing device receives information pertaining to the patient, generates, based on the information, the treatment plan including instructions for the patient to follow, and receives a set of billing procedures associated with the instructions. The set of billing procedures includes rules pertaining to billing codes, timing, constraints, or some combination thereof. The server computing device generates, based on the set of billing procedures, the billing sequence for at least a portion of the instructions. The billing sequence is tailored according to a certain parameter. The server computing device transmits the treatment plan and the billing sequence to a computing device.

Abstract: In one embodiment, a method is disclosed. The method includes controlling, by one or more processing devices and using a target force setting value to be exerted by a body part of the patient, an electromechanical machine comprising an actuator configured to produce an external force based on the target force setting value. The method includes causing, via the one or more processing devices, presentation of a first user interface on a patient interface. The first user interface comprises an adjustment confirmation screen that solicits a response regarding the patient's comfort level with the target force setting value. The method includes changing, based on the response, the target force setting value, and controlling the actuator to produce an external force based on the changed target force setting value.

Abstract: A method includes receiving treatment data pertaining to a user capable of using a treatment device to perform a treatment plan and receiving activity data pertaining to the user while the user engages in at least one activity. The method also includes generating treatment information using the treatment data and the activity data and writing to an associated memory, for access by a healthcare professional, the treatment information. The method also includes modifying at least one aspect of the treatment plan in response to receiving, from the healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.

Abstract: A method for displaying clinician user interface generated by a computer is disclosed. The method may include, displaying clinician user interface generated by a computer. The method may also include a profile display presenting information regarding a treatment history of a patient. The method may also include a protocol management display presenting a treatment plan, with the treatment plan comprising a plurality of treatment protocols. The method may also include a plan modification control configured to modify the plurality of treatment protocols of the treatment plan. The method may include a login interface configured to enable a person to access the clinician user interface by providing a credential associated with one of a plurality of user accounts. The method may include wherein each of the plurality of user accounts has a corresponding set of permissions controlling access to patient data on the clinician user interface.

Abstract: Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor. The method comprises generating one or more machine learning models trained to identify alignment plans. The method also comprises receiving user data and determining that a targeted portion of a body of the user is outside of a field of view of the imaging sensor. The method further comprises generating the one or more alignment plans using the one or more machine learning models. Each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from a first location to the target location. The method also comprises transmitting the one or more alignment plans to a computing device.

Abstract: A computer-implemented system includes an electromechanical device configured to be manipulated by a patient while performing an exercise session, and a processor in communication with the electromechanical device. The processor is configured to receive data, generate a map packet, and transmit the map packet. The processor is configured to use the data to generate continuity packets, where each of the continuity packets includes a contiguous portion of the data, and transmit the continuity packets. The processor is configured to use the map packet and the continuity packets to cause an output file to be generated.

Abstract: In one embodiment, a method is disclosed. The method includes, while the patient uses the treatment apparatus, controlling, based on a treatment plan for a patient, a treatment apparatus. The method includes receiving, by a processing device, data from an electronic device, wherein the data comprises one of a position of a body part of the patient or a force exerted by the body part. The method includes storing, via the processing device, the data for the patient in a computer-readable medium. The method includes causing, via a processing device, presentation of a user interface on a patient interface. The user interface comprises an adjustment confirmation control, and the adjustment confirmation control is configured to solicit a response regarding the patient's comfort level with the one of the position of the body part or the force exerted by the body part.

Abstract: A system for processing medical claims, comprising a processor configured to receive device-generated information from a medical device. The device-generated information includes performance information. The processor generates a first biometric signature, and using the device-generated information, generates a second biometric signature, wherein the second biometric signature uses the performance information. Using the first and second biometric signatures, the processor generates a signature comparison. Using the signature comparison, the processor generates a signature indicator and transmits the signature indicator.

Abstract: A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.

Abstract: Systems and methods for positioning one or more sensors on a user. The system has user sensors, apparatus sensors, and treatment sensors.