Method, device and system for providing a virtual medical procedure drill

A method of training at least one machine learning model to regulate an emotional response associated with a patient, the method comprising:

• receiving, by a processing unit, reference input data associated with one or more patients, wherein at least one instance of a virtual drill has been executed for the one or more patients;
• obtaining, by the processing unit, input data associated with the patient;
• receiving, by the processing unit, at least one machine learning model;
• determining, by the processing unit, a number of repetitions of the virtual drill to be executed for the patient using the at least one machine learning model, wherein the number of repetitions of the virtual drill is determined based on the reference input data associated with the one or more patients;
• executing, by the processing unit, at least one instance of the virtual drill for the patient based on the determined number of repetitions of the virtual drill;
• capturing, by the processing unit, one or more parameters associated with the patient during the execution of the at least one instance of the virtual drill;
• and
• adjusting, by the processing unit, the machine learning model based on the one or more parameters associated with the patient.

A device for regulating an emotional response associated with a patient, the device comprising:

• one or more processing units;
• and
• a memory coupled to the one or more processing units, the memory comprising a virtual drill module configured to:
• receive input data associated with the patient;
• predict, using a trained machine learning model, a number of repetitions of a virtual drill to be undertaken by the patient, based on the input data, wherein the virtual drill is related to a virtual representation of a medical procedure to be undergone by the patient;
• execute at least one instance of the virtual drill for the patient based on the predicted number of repetitions of the virtual drill;
• capture one or more parameters associated with the patient during the execution of the virtual drill, wherein the one or more parameters depict the emotional response associated with the patient;
• and
• modify the prediction of the number of repetitions of the virtual drill to be executed for the patient based on the captured one or more parameters associated with the patient, the number of repetitions of the virtual drill executed for the patient, or the captured one or more parameters associated with the patient and the number of repetitions of the virtual drill executed for the patient.

A system for regulating an emotional response associated with a patient, the system comprising:

• one or more servers;
• one or more sensors communicatively coupled to the one or more servers, wherein the one or more sensors are configured to capture one or more parameters associated with the patient;
• and
• one or more user devices, communicatively coupled to the one or more servers, wherein the one or more user devices are configured to execute at least one instance of a virtual drill,
• wherein the one or more servers comprise computer readable instructions that, when executed by the one or more servers, cause the one or more servers to:
• receive input data associated with the patient;
• predict, using a trained machine learning model, a number of repetitions of the virtual drill to be undertaken by the patient, based on the input data, wherein the virtual drill is related to a virtual representation of a medical procedure to be undergone by the patient;
• execute at least one instance of the virtual drill for the patient based on the predicted number of repetitions of the virtual drill;
• capture one or more parameters associated with the patient during the execution of the virtual drill, wherein the one or more parameters depict the emotional response associated with the patient;
• and
• modify the prediction of the number of repetitions of the virtual drill to be executed for the patient based on the captured one or more parameters associated with the patient, the number of repetitions of the virtual drill executed for the patient, or the captured one or more parameters associated with the patient and the number of repetitions of the virtual drill executed for the patient.

A non-transitory computer readable storage medium that stores machine readable instructions executable by a processing unit, the machine readable instructions comprising:

• receiving input data associated with the patient;
• predicting, using a trained machine learning model, a number of repetitions of a virtual drill to be undertaken by the patient, based on the input data, wherein the virtual drill is related to a virtual representation of a medical procedure to be undergone by the patient;
• executing at least one instance of the virtual drill for the patient based on the predicted number of repetitions of the virtual drill;
• capturing one or more parameters associated with the patient during the execution of the virtual drill, wherein the one or more parameters depict an emotional response associated with the patient;
• and
• modifying the prediction of the number of repetitions of the virtual drill to be executed for the patient based on the captured one or more parameters associated with the patient, the number of repetitions of the virtual drill executed for the patient, or the captured one or more parameters associated with the patient and the number of repetitions of the virtual drill executed for the patient.