System and Method for Determining Customer/Patient Wait Time
The present invention is directed to the field of Bluetooth Low Energy (“BLE”) enabled mobile device applications and, specifically, to a mobile device application that allows a customer or patient to view their actual wait time to see a doctor or other service provider. The present invention determines actual wait times based on the patients and providers within range of BLE beacons that are located in every room of an office space or other indoor area. An algorithm analyzes the real-time location data of in-office staff and patients to notify incoming patients of actual wait times.
1 . A system for determining a wait time for a user associated with at least one mobile device having a Bluetooth connection, said system comprising:
at least one Bluetooth-enabled beacon device;
a first computer server;
a secure network;
at least one computer-readable memory storage unit, capable of storing instructions which, when activated by said user, cause said system to:
detect, via said at least one Bluetooth-enabled beacon device and said at least one mobile device having Bluetooth connection, one or more locations associated with said user by way of receiving a first signal from said at least one Bluetooth-enabled beacon device at said at least one mobile device having Bluetooth connection;
send a first communication from said at least one mobile device having Bluetooth connection to said first computer server in response to said first signal;
send a second communication from said first computer server to a second computer server in response to said first signal;
access, via said secure network, a daily schedule associated with a system administrator;
compare, via said second computer server, a real-time schedule with said daily schedule associated with said system administrator;
identify, via said second computer server, inconsistencies between said real-time schedule and said daily schedule;
adjust, via said second computer server, said daily schedule to align with said real-time schedule;
send a third communication to said first computer server and said at least one mobile device having Bluetooth connection;
store a plurality of daily schedule adjustments in a virtual cloud database; and
analyze, via a machine learning algorithm, said plurality of daily schedule adjustments in order to predict future scheduling adjustments.
2 . The system of claim 1 , wherein said first communication informs said first computer server of the location of said at least one mobile device having Bluetooth connection.
3 . The system of claim 1 , wherein said at least one Bluetooth-enabled beacon device tracks the location of said at least one mobile device having Bluetooth connection associated with said user.
4 . The system of claim 1 , wherein said third communication informs said first computer server and said at least one mobile device having Bluetooth connection of a change to said daily schedule based on said real-time schedule.
5 . The system of claim 1 , wherein said user is redirected to a third-party virtual calendar interface for cataloging a change to said daily schedule based on said real-time schedule.
6 . The system of claim 1 , wherein said at least one Bluetooth-enabled beacon device is placed in a specific location.
7 . The system of claim 1 , wherein a plurality of messages are triggered to send based on a location of said at least one mobile device having Bluetooth connection.
8 . The system of claim 1 , wherein said plurality of daily schedule adjustments are presented on a virtual dashboard accessible via a user interface accessible via said secure network.
9 . A method for determining a wait time for a user associated with at least one mobile device having a Bluetooth connection, said method comprising:
detecting, via at least one Bluetooth-enabled beacon device and at least one mobile device having Bluetooth connection, a plurality of locations associated with said user by way of receiving a first signal from said at least one Bluetooth-enabled beacon device at said at least one mobile device having Bluetooth connection;
sending a first communication from said at least one mobile device having Bluetooth connection to a first computer server in response to said first signal;
sending a second communication from said first computer server to a second computer server in response to said first signal;
accessing, via a secure network, a daily schedule associated with a system administrator;
comparing, via said second computer server, a real-time schedule with said daily schedule associated with said system administrator;
identifying, via said second computer server, inconsistencies between said real-time schedule and said daily schedule;
adjusting, via said second computer server, said daily schedule to align with said real-time schedule;
sending a third communication to said first computer server and said at least one mobile device having Bluetooth connection;
storing a plurality of daily schedule adjustments in a virtual cloud database;
analyzing, via a machine learning algorithm, said plurality of daily schedule adjustments in order to predict future scheduling adjustments; and
presenting, on a user interface, a virtual dashboard configured to allow said system administrator to view said plurality of daily schedule changes.
10 . The method of claim 8 , wherein said first communication informs said first computer server of the location of said at least one mobile device having Bluetooth connection.
11 . The method of claim 8 , wherein said at least one Bluetooth-enabled beacon device tracks the location of said at least one mobile device having Bluetooth connection associated with said user.
12 . The method of claim 8 , wherein said third communication informs said first computer server and said at least one mobile device having Bluetooth connection of a change to said daily schedule based on said real-time schedule.
13 . The method of claim 8 , wherein said user is redirected to a third-party virtual calendar interface for cataloging a change to said daily schedule based on said real-time schedule.
14 . The method of claim 8 , wherein said at least one Bluetooth-enabled beacon device is placed in a specific location.
15 . The method of claim 8 , wherein a plurality of messages are triggered to send based on a location of said at least one mobile device having Bluetooth connection.
16 . The method of claim 8 , wherein said method further comprises redirecting, via said secure network, said system administrator to a third-party electronic medical record system for obtaining a medical record associated with said user.
17 . A system for determining a wait time for a user associated with at least one mobile device having a Bluetooth connection, said system comprising:
at least one Bluetooth-enabled beacon device;
a first computer server;
a secure network;
at least one computer-readable memory storage unit, capable of storing instructions which, when activated by said user, cause said system to:
detect, via said at least one Bluetooth-enabled beacon device and said at least one mobile device having Bluetooth connection, a plurality of locations associated with said user by way of receiving a first signal from said at least one Bluetooth-enabled beacon device at said at least one mobile device having Bluetooth connection;
send a first communication from said at least one mobile device having Bluetooth connection to said first computer server in response to said first signal;
send a second communication from said first computer server to a second computer server in response to said first signal;
access, via said secure network, a daily schedule associated with a system administrator;
compare, via said second computer server, a real-time schedule with said daily schedule associated with said system administrator;
identify, via said second computer server, inconsistencies between said real-time schedule and said daily schedule;
adjust, via said second computer server, said daily schedule to align with said real-time schedule;
send a third communication to said first computer server and said at least one mobile device having Bluetooth connection;
store a plurality of daily schedule adjustments in a virtual cloud database;
analyze, via a machine learning algorithm, said plurality of daily schedule adjustments in order to predict future scheduling adjustments;
present, via a first user interface on said at least one mobile device having Bluetooth connection, a virtual user dashboard containing information regarding a schedule associated with said user;
present, via a second user interface on said second computer server, a virtual administration dashboard containing information regarding said plurality of schedule adjustments; and
redirect, via said secure network, said system administrator to a third-party electronic medical record system for obtaining a medical record associated with said user.
18 . The system of claim 15 , wherein said first communication informs said first computer server of the location of said at least one mobile device having Bluetooth connection.
19 . The system of claim 15 , wherein said at least one Bluetooth-enabled beacon device tracks the location of said at least one mobile device having Bluetooth connection associated with said user.
20 . The system of claim 15 , wherein said third communication informs said first computer server and said at least one mobile device having Bluetooth connection of a change to said daily schedule based on said real-time schedule.
21 . The system of claim 15 , wherein said user is redirected to a third-party virtual calendar interface for cataloging a change to said daily schedule based on said real-time schedule.
22 . The system of claim 15 , wherein said at least one Bluetooth-enabled beacon device is placed in a specific location.
23 . The system of claim 15 , wherein a plurality of messages are triggered to send based on a location of said at least one mobile device having Bluetooth connection.