View source for 20240037510. METHOD AND APPARATUS FOR DETERMINING APPOINTMENT ATTENDANCE PROBABILITY simplified abstract (HERE GLOBAL B.V.)

=METHOD AND APPARATUS FOR DETERMINING APPOINTMENT ATTENDANCE PROBABILITY=


==Organization Name==

[[:Category:HERE GLOBAL B.V.|HERE GLOBAL B.V.]]


[[Category:HERE GLOBAL B.V.]]

==Inventor(s)==

[[:Category:Leon Stenneth of Chicago IL (US)|Leon Stenneth of Chicago IL (US)]][[Category:Leon Stenneth of Chicago IL (US)]]

[[:Category:Jerome Beaurepaire of Nantes (FR)|Jerome Beaurepaire of Nantes (FR)]][[Category:Jerome Beaurepaire of Nantes (FR)]]

[[:Category:Jeremy Michael Young of Chicago IL (US)|Jeremy Michael Young of Chicago IL (US)]][[Category:Jeremy Michael Young of Chicago IL (US)]]

==METHOD AND APPARATUS FOR DETERMINING APPOINTMENT ATTENDANCE PROBABILITY - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240037510 titled 'METHOD AND APPARATUS FOR DETERMINING APPOINTMENT ATTENDANCE PROBABILITY

==Simplified Explanation==

The patent application describes a method, apparatus, and user interface for determining the probability of an end user attending an appointment. The method involves obtaining the first and second locations of the end user at a predefined time interval, as well as the end user's driving profile data and appointment data. The appointment attendance probability is determined based on these obtained data, and at least one database is updated with the determined probability.

* The method involves obtaining the first and second locations of an end user at a predefined time interval.
* The end user's driving profile data and appointment data are also obtained.
* The appointment attendance probability is determined based on the obtained first and second locations, end user appointment data, and end user driving profile data.
* At least one database is updated with the determined appointment attendance probability.

Potential applications of this technology:

* Appointment scheduling and management systems can utilize this technology to predict the likelihood of an end user attending an appointment.
* Transportation services can use this technology to optimize routes and schedules based on the probability of appointment attendance.
* Healthcare providers can benefit from this technology by predicting patient attendance for medical appointments and adjusting their schedules accordingly.

Problems solved by this technology:

* This technology addresses the uncertainty of appointment attendance by providing a probability estimation based on various factors.
* It helps in reducing no-shows and optimizing resources by allowing for better planning and scheduling.

Benefits of this technology:

* Improved efficiency and resource allocation in appointment-based industries.
* Enhanced customer experience by minimizing waiting times and optimizing service delivery.
* Cost savings through better utilization of resources and reduced no-shows.


==Original Abstract Submitted==

a method, apparatus, and user interface for determining appointment attendance probability comprising obtaining an indication of least a first location and second location of an end user; wherein the first location and second location are obtained at a predefined time interval, obtaining end user driving profile data, obtaining end user appointment data, determining appointment attendance probability based, at least in part, on the obtained first location, second location, end user appointment data, and end user driving profile data, and updating at least one database with the determined appointment attendance probability.



[[Category:G06Q10/10]]
[[Category:G01C21/36]]