Artificial intelligence based technologies for improving patient intake

An artificial intelligence (AI) based system for improving patient intake, the system comprising:

• one or more processors;
• and
• one or more memories communicatively coupled with the one or more processors, the one or more memories storing a care plan generation module, an intent interpretation fulfillment module, and a natural language processing (NLP) model that is trained with a plurality of verbal responses regarding patient intake of a plurality of users, and the NLP model is configured to output one or more textual transcriptions and one or more intent interpretations corresponding to the one or more textual transcriptions, and
• wherein the one or more memories store instructions thereon that, when executed by the one or more processors, cause the one or more processors to:
• receive a patient intake request from a user,
• initiate, based on the patient intake request, a patient intake data stream including verbal responses from the user regarding patient intake of the user,
• apply, while simultaneously receiving the patient intake data stream, the NLP model to the verbal responses from the user to output (i) textual transcriptions corresponding to the verbal responses from the user and (ii) intent interpretations corresponding to the textual transcriptions,
• generate, by the care plan generation module, a recommended care plan based on the textual transcriptions and the intent interpretations,
• identify, by the intent interpretation fulfillment module utilizing an application programming interface (API), one or more recipient entities to receive the textual transcriptions and the recommended care plan based on the intent interpretations, and
• transfer the textual transcriptions and the recommended care plan to one or more recipient entity devices of the one or more recipient entities to enable the one or more recipient entity to view the textual transcriptions and the recommended care plan by:
• mediating quest tokens that enable access to a follow-up consult between the user and a recipient entity;
• and
• upon initiation of the follow-up consult, verifying meeting information of the follow-up consult between the user and the recipient entity.

A tangible, non-transitory computer-readable medium storing instructions for improving patient intake, that when executed by one or more processors cause the one or more processors to:

• receive a patient intake request from a user;
• initiate, based on the patient intake request, a patient intake data stream including verbal responses from the user regarding patient intake of the user;
• apply, while simultaneously receiving the patient intake data stream, a natural language processing (NLP) model to the verbal responses from the user to output (i) textual transcriptions corresponding to the verbal responses from the user and (ii) intent interpretations corresponding to the textual transcriptions, wherein the NLP model is trained with a plurality of verbal responses regarding patient intake of a plurality of users, and the NLP model is configured to output one or more textual transcriptions and one or more intent interpretations corresponding to the one or more textual transcriptions;
• generate a recommended care plan based on the textual transcriptions and the intent interpretations;
• identify, utilizing an application programming interface (API), one or more recipient entities to receive the textual transcriptions and the recommended care plan based on the intent interpretations;
• and
• transfer the textual transcriptions and the recommended care plan to one or more recipient entity devices of the one or more recipient entities to enable the one or more recipient entity to view the textual transcriptions and the recommended care plan by:
• mediating guest tokens that enable access to a follow-up consult between the user and a recipient entity;
• and
• upon initiation of the follow-up consult, verifying meeting information of the follow-up consult between the user and the recipient entity.