Abstract: A system comprising a client device and a server network, the client device configured to receive a query; transmit the query; receive a populated response; and display the populated response. The server network may be configured to receive the query; tokenize the query; generate an intent-match likelihood for each of a plurality of supported question intents; classify the query based on the intent-match likelihoods; evaluate each of the intent-match likelihoods to a confidence threshold; extract, via a Named Entity Recognition model, one or more entities from the query; determine one or more entity values for each of the one or more entities; query the at least one database to incorporate intent to the one or more entities and the one or more entity values; populate a response template with the one or more entity values and one or more specifics; and store the query and the populated response.

Abstract: The disclosed embodiments include a system and method for patient management using multi-dimensional analysis and computer vision. The system includes a base unit having a microprocessor connected to a camera and a beacon detector. The beacon detector scans for advertising beacons with a packet and publishes a packet to the microprocessor. The camera captures an image in a pixel array and publishes image data to the microprocessor. The microprocessor uses at least a Beacon ID from the packet to determine if an object is in a room, and Camera Object Coordinates from the image data to determine the coordinates of the object in the room.

Abstract: The disclosed embodiments include a system and method for patient management using multi-dimensional analysis and computer vision. The system includes a base unit having a microprocessor connected to a camera and a beacon detector. The beacon detector scans for advertising beacons with a packet and publishes a packet to the microprocessor. The camera captures an image in a pixel array and publishes image data to the microprocessor. The microprocessor uses at least a Beacon ID from the packet to determine if an object is in a room, and Camera Object Coordinates from the image data to determine the coordinates of the object in the room.