Method and system for using artificial intelligence to triage treatment plans for patients and electronically initiate the treament plans based on the triaging

A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:

• receive at least one user profile associated with a user, wherein the at least one user profile further indicates at least one condition of the user;
• receive healthcare professional profile information associated with respective healthcare professionals which comprises a set of healthcare professionals capable of interacting with the user;
• identify treatment device information for each treatment device which comprises a set of treatment devices capable of being used by users having user profiles at least partially associated with the at least one user profile of the user;
• generate, using an artificial intelligence engine that uses at least one machine learning model configured to generate resource deployment predictions, at least one resource deployment prediction, wherein the at least one machine learning model generates the at least one resource deployment prediction based on at least part of the at least one user profile, user profiles associated with other users, at least some of the healthcare professional profile information, and at least some of the treatment device information;
• generate at least one treatment plan, based on the at least one resource prediction, for the user;
• and
• based on the treatment plan, and while the user uses the at least one treatment device to perform the treatment plan, control, using the artificial intelligence engine, at least one treatment device.

A system comprising:

• a processor;
• and
• a memory including instructions that, when executed by the processor, cause the processor to:
• receive at least one user profile associated with a user, wherein the at least one user profile further indicates at least one condition of the user;
• receive healthcare professional profile information associated with respective healthcare professionals which comprises a set of healthcare professionals capable of interacting with the user;
• identify treatment device information for each treatment device which comprises a set of treatment devices capable of being used by users having user profiles at least partially associated with the at least one user profile of the user;
• generate, using an artificial intelligence engine that uses at least one machine learning model configured to generate resource deployment predictions, at least one resource deployment prediction, wherein the at least one machine learning model generates the at least one resource deployment prediction based on at least part of the at least one user profile, user profiles associated with other users, at least some of the healthcare professional profile information, and at least some of the treatment device information;
• generate at least one treatment plan, based on the at least one resource prediction, for the user;
• and
• based on the treatment plan, and while the user uses the at least one treatment device to perform the treatment plan, control, using the artificial intelligence engine, at least one treatment device.