An appointment monitoring system

Abstract

The present invention relates to an appointment monitoring system (10) for providing detection of the realization probability of a pre-planned appointment. Accordingly, the subject matter comprises a first database (112) wherein the information of the appointment granting user (11) is kept; a second database (122) wherein the information of the appointment requesting user (12) is kept; a processor unit (13) for taking data from said first database (112) and from said second database (122); said processor unit (13) is configured to provide taking of a first condition data, including appointment granting user information, from the first database (112); to provide taking of a second condition data, including the appointment information of the appointment granting user and user information, from the second database (122); to provide checking of the first condition data and the second condition data in accordance with the pre-learned information by means of machine learning; to provide creation of an appointment condition information including the appointment realization probability.

Description

[0001] AN APPOINTMENT MONITORING SYSTEM

[0002] TECHNICAL FIELD

[0003] The present invention relates to an appointment monitoring system for providing detection of the realization probability of a pre-planned appointment.

[0004] PRIOR ART

[0005] The condition of meeting of two or more persons at a predetermined specific time and at a specific location is named as an appointment. Even though an appointment is a process realized between persons in daily life, it is used for providing monitoring of works in various sectors. Particularly in various fields like hospitals, health care centers, hotels, companies, etc., appointment service is used.

[0006] In hospitals, patients can request appointments in accordance with working hours of doctors. Patients generally forget cancellation of appointments which they will not keep. This problem prevents the patients, which need treatment, from utilizing this available space. The condition whether the patient will not keep an appointment can only be determined at the appointment hour. In this case, the accession of the patients who need treatment may be postdated. This leads to time loss both for doctors and for patients who need treatment. This leads to monetary loss for the health institute where doctors are working.

[0007] In case a person, who requested an appointment from a care center, does not keep appointment, time loss and even monetary loss occur for persons who arrange the appointment and who wait for next appointment. This condition may occur in a restaurant or in a hotel reservation which operate by means of appointments. Units which operate by means of appointment systems generally complain about this problem.

[0008] In the present art, systems which present appointment services between a unit which requests an appointment and a unit which grants an appointment are known. In the application no US2001027481 , a system is described which provides creation of an appointment according to a day and hour determined between a service provider and a service requester. This system provides formation of an appointment between a unit which requests an appointment and a unit which grants an appointment. However, this invention does not provide monitoring of appointments.

[0009] As a result, because of the abovementioned problems, an improvement is required in the related technical field.

[0010] BRIEF DESCRIPTION OF THE INVENTION

[0011] The present invention relates to an appointment monitoring system, for eliminating the abovementioned disadvantages and for bringing new advantages to the related technical field.

[0012] An object of the present invention is to provide an appointment monitoring system for providing calculation of the realization probability of a created appointment.

[0013] In order to realize the abovementioned objects and the objects which are to be deducted from the detailed description below, the present invention is an appointment monitoring system for providing detection of the realization probability of a pre-planned appointment. Accordingly, the subject matter comprises a first database wherein the information of the appointment granting user is kept; a second database wherein the information of the appointment requesting user is kept; a processor unit for taking data from said first database and from said second database; said processor unit is configured:

[0014] - to provide taking of a first condition data, including the information of the appointment granting user, from the first database;

[0015] - to provide taking of a second condition data, including the appointment information and user information of the appointment granting user, from the second database;

[0016] - to provide checking of the first condition data and the second condition data in accordance with the pre-learned information by means of machine learning;

[0017] - to provide creation of an appointment condition information which includes the appointment realization probability.

[0018] Thus, the appointment hours of the persons, that have low probability of keeping an appointment, can be utilized by another person.

[0019] In a possible embodiment of the present invention, the processor unit is configured to provide comparison of the information, taken from the first database and from the second database, with the pre-learned information by means of Gradient Boosting model, Logistic Regression model and StackNet model (StackNet model including Gradient Boosting and Logistic Regression models). Thus, a feature which cannot be determined by a model is determined by means of another model. This condition provides self-control of the system and provides obtaining of results which are close to the real value.

[0020] In another possible embodiment of the present invention, a first user interface is provided for providing inputting data by the appointment granting user. Thus, the person granting appointment enters the appointment information.

[0021] In another possible embodiment of the present invention, a second user interface is provided for providing inputting data by the appointment requesting user. Thus, appointment is taken from the appointment list formed by the appointment granting user.

[0022] In another possible embodiment of the present invention, a communication unit is provided for providing data exchange in relation to the processor unit.

[0023] In another possible embodiment of the present invention, the processor unit is configured to update an appointment slot which shows appointment realization probability in the first user interface in accordance with each appointment condition information. Thus, the appointment granting user can monitor the appointment calendar in an updated manner.

[0024] BRIEF DESCRIPTION OF THE FIGURES

[0025] In Figure 1 , a representative view of an appointment monitoring system is given.

[0026] In Figure 2, a representative view of the operation scenario of an appointment monitoring system is given.

[0027] DETAILED DESCRIPTION OF THE INVENTION

[0028] In this detailed description, the subject matter is explained with references to examples without forming any restrictive effect only in order to make the subject more understandable.

[0029] The present invention relates to an appointment monitoring system (10) for providing detection of the realization probability of a pre-planned appointment.

[0030] In said appointment monitoring system (10), there is an appointment granting user (11). There is a first user interface (111 ) provided in a manner allowing data input by the appointment granting user (11 ). In a possible embodiment of the invention, a web site, a mobile application can be provided to a mobile device as said first user interface (111). There is a first database (112) provided for storing data entered by the appointment granting user

[0031] (11) through the second user interface (121). The information like the name, surname of the appointment granting user (11 ), the place, the hour where the appointment is provided, the profession, the location of the place where the appointment provided, etc. is stored in the first database (112). There is a graphic comprising the appointment slot in the first user interface (111 ). The appointment granting user (11) can display the information of the appointment requesting user (12) on this slot.

[0032] In the appointment monitoring system, there is an appointment requesting user (12) which provides taking an appointment from the appointment granting user (11 ). There is a second user interface (121) provided for taking appointment by said appointment requesting user

[0033] (12). In a possible embodiment of the invention, a web site, a mobile application, etc., which can be entered by means of a mobile unit, can be used as said second user interface (121). The user information is received during the appointment created by means of the appointment requesting user (12). The user information is stored in a second database (122) in order to be used afterwards. Among the information received from the user, data like the user name, surname, ID no, phone number, location, the city where the user lives, profession of the user, etc. is collected.

[0034] The appointment monitoring system comprises a processor unit (13) for taking data from the first database (112) and from the second database (122). Said processor unit (13) provides processing of data sets, taken from the first database (112) and the second database (122), by means of artificial intelligence and machine learning algorithms. The processor unit (13) provides creation of an appointment condition data which includes appointment realization probability. Said condition data is created as a result of inputting the data, taken from the first database (112) and from the second database (122), to Gradient Boosting model, Logistic Regression model and StackNet model. The processor unit (13) is configured to provide comparison of the information, taken from the first database (112) and from the second database (122), with the pre-learned information by means of Gradient Boosting model, Logistic Regression model and StackNet model. Thus, a data which cannot be determined by a model is determined by another model. In this case, the obtained appointment condition information comprises an estimated result which is close to the real value. The processor unit

[0035] (13) provides updating of each appointment condition information in the appointment slot which shows appointment realization probability in the first user interface (111). There is a communication unit (14) associated with the processor unit. In a possible embodiment of the invention, said communication unit (14) provides data transfer by means of wired communication. In an alternative embodiment of the invention, said communication unit (14) provides data transfer by means of wireless communication. There is a memory unit (15) associated with the processor unit (13). The processor unit (13) provides storage of data to the memory unit (15).

[0036] An exemplary operation scenario of the invention is hereunder given;

[0037] First of all, an appointment granting user enters the appointment medium, place, time hour name surname, location information by means of the first user interface (111). The information entered by means of the first user interface (111) is kept in the first database (112). The processor unit (13) provides taking of a first condition data, which includes the information of the appointment granting user (11), from the first database (112). An appointment requesting user enters information like the hour, time, name surname, location, etc. for the appointment by means of the second user interface (121 ). The data received by means of the second user interface (121 ) is kept in the second database (122). The processor unit (13) provides taking a second condition data, which includes information of the appointment granting user (11), from the second database (122). The appointment requesting user (12) can make a selection in accordance with the appointment slot of the appointment granting user (11). Therefore, first of all, the information of the appointment granting user (11 ) must be presented to the system. In a possible embodiment of the invention, the processor unit provides creation of a traffic information from the location information taken from the second database. In another possible embodiment of the invention, the processor unit also provides removal of a weather condition data from the appointment data information. The processor unit (13) provides processing of the data, received from the first database (112) and from the second database (122), by means of machine learning. The processor unit also provides removal of traffic information, weather condition information from the information received from the first database and from the second database. Thus, all disadvantages which may occur for realization of the appointment are evaluated. The processor unit (13) provides comparison of the information, learned beforehand by means of machine learning, and the first condition data and the second condition data. As a result of the comparison, an appointment condition information is created. Said appointment condition information is an estimated data including realization probability of the appointment. In accordance with the appointment condition information, the appointment granting user (11 ) can determine the appointment realization probability before the appointment hour. In this case, the appointment granting user (11 ) can provide updating of the appointment slot in accordance with the appointment realization condition. The processor unit (13) provides taking of the information, entered by means of the first user interface (111 ) and the second user interface (121 ), by means of the communication unit (14) from the first database (112) and from the second database (122). The processor unit (13) provides storing of the changing and updated condition information instantaneously to the memory unit (15). The processor unit (13) provides adjustment of the appointment slot in accordance with the realization condition of the appointment. For instance, the colors of the hours are changed on a calendar and hour slot in accordance with the appointment keeping proportion of user. In this case, the appointment granting user (11 ) who looks at the calendar can easily understand the appointment keeping probability of the appointment requesting user (12).

[0038] In an exemplary embodiment of the invention, first of all, the condition information like the name surname, appointment information, etc. of a cardiologist are entered to a hospital system. The information of the doctor is kept in a first database (112). In case a patient requests appointment from said cardiologist, an appointment is created for instance for 14:00 on Thursday on date 09.06.2022 through the web site of the hospital. While the patient is creating the appointment, the personal information like patient name, surname, location is also entered. The information entered by the patient is recorded in the second database (122). The information kept in the first database (112) and in the second database (122) is transferred to the processor unit (13) by means of a wireless communicate unit (14). In case the processor unit (13) detects that the appointment day and hour are becoming closer, it provides checking of the information, taken from the first database (112) and from the second database (122), by means of machine learning. The processor unit (13) provides comparison of the information, taken from the first database (112), with the pre-learned data, and provides detection of the condition of keeping of the patient for the appointment. For instance, if the location of the patient is two hours far away when it is half an hour to the appointment hour, the data, which indicates that the patient cannot keep the appointment with high probability, is created. In this case, an appointment condition information is created such that the patient will not keep the appointment with proportion of 90%. The processor unit provides transfer of the appointment condition information to the second database (122) by means of the communication unit (14). The doctor can see through the first user interface (111 ) that the patient will not keep the appointment with 80% proportion. In this case, the doctor can provide treatment of another patient during this duration. The processor unit (13) also provides recording of the information of a patient, which does not keep the appointment without giving notification, to the memory unit (15) in order to use this information afterwards. In this case, loss of time for a patient which will not keep his / her appointment is prevented. Moreover, another patient who needs treatment can be treated. In this case, the time loss and monetary loss which occur both for the doctor and for the related health institute are prevented.

[0039] In another alternative embodiment of the invention, a customer can reserve a room of a hotel. The customer enters his data through a web site. The hotel owner provides reservation of the room for the customer at the determined day and hour in accordance with the entered information. In case the reservation date is near, it is checked through the entered information and through the learned information whether the customer comes to the hotel. Access to the information, which indicates that the customer will keep an appointment with proportion of 90%, is realized through the checked information. In this case, the room is prepared for the customer. In the opposite case, the room can be prepared for another customer.

[0040] The protection scope of the present invention is set forth in the annexed claims and cannot be restricted to the illustrative disclosures given above, under the detailed description. It is because a person skilled in the relevant art can obviously produce similar embodiments under the light of the foregoing disclosures, without departing from the main principles of the present invention.

[0041] REFERENCE NUMBERS

[0042] 10 Appointment monitoring system

[0043] 1 1 Appointment granting user 11 1 First user interface

[0044] 112 First database

[0045] 12 Appointment requesting user

[0046] 121 Second user interface

[0047] 122 Second database 13 Processor unit

[0048] 14 Communication unit

[0049] 15 Memory unit

Claims

CLAIMS1. The present invention is an appointment monitoring system (10) for providing detection of the realization probability of a pre-planned appointment, wherein the subject matter comprises a first database (112) wherein the information of the appointment granting user (11) is kept; a second database (122) wherein the information of the appointment requesting user (12) is kept; a processor unit (13) for taking data from said first database (112) and from said second database (122); said processor unit (13) is configured: to provide taking of a first condition data, including the information of the appointment granting user, from the first database (112); to provide taking of a second condition data, including the appointment information and user information of the appointment granting user, from the second database (122); to provide checking of the first condition data and the second condition data in accordance with the pre-learned information by means of machine learning; to provide creation of an appointment condition information which includes the appointment realization probability.

2. The appointment monitoring system (10) according to claim 1 , wherein a first user interface (111) is provided for providing inputting data by the appointment granting user (11).

3. The appointment monitoring system (10) according to claim 1 , wherein a second user interface (121) is provided for providing inputting data by the appointment requesting user (12).

4. The appointment monitoring system (10) according to claim 1 , wherein a communication unit (14) is provided for providing data exchange in relation to the processor unit (13).

5. The appointment monitoring system (10) according to claim 1 , wherein the processor unit (13) is configured to update an appointment slot which shows appointment realization probability in the first user interface (111) in accordance with each appointment condition information.

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