US 2023/0401538 A1 · METHODS AND SYSTEMS FOR OPTIMIZING APPOINTMENT SCHEDULING

Abstract

Examples described herein include methods, techniques, and systems for optimizing appointment scheduling of an establishment. The establishment may be part of any industry that provides goods and/or services to a plurality of persons. To optimize appointment scheduling, the methods, techniques, and systems described herein may analyze appointment data of a past time period to predict whether the persons will keep their respective pre-scheduled appointments in a future time period. To do so, the establishment may utilize a two-tier predictive module to perform a first predictive categorization followed by a second predictive categorization. The first predictive categorization may aid the establishment to determine whether the pre-scheduled appointments for the future time period are predicted to be kept appointments or missed appointments. Then, the second predictive categorization may aid the establishment to determine whether the predicted kept appointments are predicted to be on-time appointments or delayed appointments.

Claims20

Dependent claims

A computer-implemented method for aiding an establishment in scheduling future appointments, the computer-implemented method comprising:

accessing a first plurality of appointment data of a first plurality of persons, the first plurality of appointment data being associated with a plurality of scheduled appointments over a past time period;
accessing a second plurality of appointment data of a second plurality of persons, the second plurality of appointment data being associated with a plurality of pre-scheduled appointments for a future time period;
based on the first plurality of appointment data and the second plurality of appointment data, performing a predictive categorization of the plurality of pre-scheduled appointments for the future time period, wherein:
a first portion of the plurality of pre-scheduled appointments comprises a plurality of predicted kept appointments in the future time period;
and
a second portion of the plurality of pre-scheduled appointments comprises a plurality of predicted missed appointments in the future time period;
and
responsive to the predictive characterization of the plurality of pre-scheduled appointments, increasing an operational efficiency of the establishment in the future time period.

5 more elements

A system for scheduling appointments, the system comprises:

a database, the database comprises:
a first plurality of appointment data associated with a plurality of scheduled appointments over a past time period;
and
a second plurality of appointment data associated with a plurality of pre-scheduled appointments for a future time period;
a computing device, the computing device comprises:
a network interface;
a processor;
and
a computer-readable medium storing instructions that, when executed by the processor, configure the computing device to:
communicate with the database using the network interface;
access a first plurality of appointment data and the second plurality of appointment data from the database;
utilize a cancelation predictor to determine:
a plurality of predicted kept appointments in the future time period;
and
a plurality of predicted missed appointments in the future time period;
and
utilize a delay predictor to determine:
a plurality of predicted on-time appointments in the future time period;
and
a plurality of predicted delayed appointments in the future time period.

17 more elements

A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a processor, cause the processor to:

access a first plurality of appointment data from a database, the first plurality of appointment data comprise a plurality of scheduled appointments over a past time period;
access a second plurality of appointment data from the database, the second plurality of appointment data comprise a plurality of pre-scheduled appointments for a future time period;
based on the first plurality of appointment data and the second plurality of appointment data, perform a first predictive categorization of the plurality of pre-scheduled appointments for the future time period, wherein:
a first portion of the plurality of pre-scheduled appointments comprises a plurality of predicted kept appointments in the future time period;
and
a second portion of the plurality of pre-scheduled appointments comprises a plurality of predicted missed appointments in the future time period;
and
responsive to the predictive characterization of the plurality of pre-scheduled appointments, increase an operational efficiency of the establishment in the future time period.

5 more elements

Dependencies are inferred from the claim text.

Methods and systems for optimizing appointment scheduling

Life of this patent

Methods and systems for optimizing appointment scheduling

Life of this patent

Abstract

Claims20