Artificial intelligence based technologies for improving patient appointment scheduling and inventory management

An artificial intelligence (AI) based system for improving patient appointment scheduling and inventory management, the system comprising:

• one or more processors;
• and
• one or more memories, storing instructions thereon that, when executed by the one or more processors, cause the one or more processors to:
• apply, while simultaneously receiving verbal responses from a user as part of a patient appointment 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;
• query, using an application programming interface (API), a scheduling database to determine a matching appointment that satisfies a service threshold and an inventory threshold based on the textual transcriptions and the intent interpretations, wherein the scheduling database comprises scheduling data corresponding to a plurality of service locations, wherein the scheduling data corresponding to each service location includes a schedule calendar and an inventory listing, and wherein the inventory threshold includes a supply inventory threshold and a medical staff inventory threshold;
• compare the schedule calendar and the inventory listing for each respective service location in the plurality of service locations to a date threshold and the inventory threshold;
• determine the matching appointment based on a first respective service location that satisfies a distance threshold, the service threshold, the date threshold, and the inventory threshold;
• and
• cause a user device of the user to convey the matching appointment to the user.

A tangible machine-readable medium comprising instructions for improving patient appointment scheduling and inventory management that, when executed, cause a machine to at least:

• apply, while simultaneously receiving verbal responses from a user as part of a patient appointment 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;
• query, using an application programming interface (API), a scheduling database to determine a matching appointment that satisfies a service threshold and an inventory threshold based on the textual transcriptions and the intent interpretations, wherein the scheduling database comprises scheduling data corresponding to a plurality of service locations, wherein the scheduling data corresponding to each service location includes a schedule calendar and an inventory listing, and wherein the inventory threshold includes a supply inventory threshold and a medical staff inventory threshold;
• compare the schedule calendar and the inventory listing for each respective service location in the plurality of service locations to a date threshold and the inventory threshold;
• determine the matching appointment based on a first respective service location that satisfies a distance threshold, the service threshold, the date threshold, and the inventory threshold;
• and
• cause a user device of the user to convey the matching appointment to the user.