JP5116781B2 - Reservation setting method and reservation setting device - Google Patents

Description

  The present invention relates to a method and apparatus for setting a reservation for use of a service providing facility.

  In service providing facilities such as hospitals, beauty salons, restaurants, etc., when the service provider decides the reservation date and time of the user, the reservation for each day of the day when the reservation is to be made to the server that manages the reservation status Search the situation, check the reservation status, and make a reservation during the free time.

  For example, in the hospital information management system of Patent Document 1, when making a reservation, in general, the number of people who can provide services (number of people that can be reserved) is determined in advance for each time period, and the time period when the number of persons is available. Select and reserve. The number of people who can make a reservation is obtained as the number of persons per time period by calculating the required service time per person using the average and dividing the time length of one time period by the required service time. Further, in the revisit patient reception system of Patent Document 2, the number of people who can be reserved is determined in consideration of the number of users who will be received on the day outside the reservation.

JP 2007-11702 A Japanese Patent Laid-Open No. 11-213039

However, there are cases where the determined number of reservations is too large and the actual service processing capacity is exceeded, the service processing does not proceed as scheduled, and the waiting time of the customer becomes long. The following causes are considered for this.
(1) The number of people who can make reservations is determined by the intuition and experience of the service provider. In particular, the desire to make a lot of reservations works and tends to set a large number of people.
(2) Even if the number of people who can make a reservation is obtained from the average service required time, etc., since the service required time is actually different for each customer, the error causes the waiting time.

  The present invention has been made in view of the above problems, and a main object thereof is to appropriately set a reservation time when using the service and to shorten the waiting time of the user.

In order to solve the above problems, the present invention provides a processing unit and reservation data including a reservation time, a prediction service time, a prediction start time, a prediction end time, and a waiting time for each reservation person for whom a service reservation is set. A reservation setting method for setting a reservation for a service user by a computer comprising a storage unit for storing condition data including a prescribed value representing an error in the predicted service time, wherein the processing unit includes: Receiving the user's reservation request and predicting and calculating the predicted service time of the user; and in the reservation data, the prediction end time of a certain reservation user is set as a start time, and the prediction start time of the next reservation user A step of identifying one of the one or more vacant frames having an end time as the end time, and in the reservation data, the prediction service of each reservation person and the user And based on the maximum service time calculated from the specified value, recalculate the prediction start time and the prediction end time of each reservation person, and further subtract the reservation time from the prediction start time. Recalculating the waiting time of the reservation person, and in the reservation data, based on the minimum service time calculated from the estimated service time of each reservation person and the user and the specified value, Recalculating the prediction start time and the prediction end time, and further recalculating the waiting time of each reservation by subtracting the reservation time from the prediction start time, and each reservation based on the maximum service time If the waiting time of each reservation person based on the waiting time of the subscriber and the minimum service time is not more than a predetermined upper limit value, The storage unit stores a start time of an empty frame as the predicted start time of the user in the storage unit, and a time obtained by adding the predicted service time of the user to the predicted start time as the predicted end time of the user. Storing the reservation time from the predicted start time based on the maximum service time for each of the reservation time candidates. Subtracting the waiting time of the user by subtracting, and for each candidate of the reservation time, the waiting time of the service provider by subtracting the predicted start time based on the minimum service time from the reservation time The waiting time of the user is less than or equal to a predetermined user waiting time upper limit, and the service provision is calculated. If there is a candidate for the reservation time at which the waiting time of the provider is equal to or less than a predetermined provider waiting time upper limit value, the candidate is stored in the storage unit as the reservation time of the user;
It is characterized by performing.

According to this method, an upper limit value (condition) of the waiting time of the reservation person of the service is set in advance, and an empty frame that satisfies the condition of the reservation person is determined. At that time, the evaluation is made based on the maximum service time and the minimum service time of each reservation person, so that the condition is satisfied in all cases of the error range by the specified value. According to this, a reservation of a new user can be assigned to an appropriate empty frame, and the waiting time can be shortened.
In addition, an upper limit (condition) for waiting time of the user, the reservation person, and the service provider is set in advance, and a reservation time that satisfies the conditions of the reservation person and satisfies the conditions of the user and the service provider is set. Decide. At that time, the service provider satisfies the conditions in all cases by evaluating based on the minimum service time within the error range based on the specified value. According to this, a reservation of a new user can be assigned to an appropriate empty frame, and the waiting time can be shortened.

Further, in the reservation setting method of the present invention, the condition data includes a prescribed value representing an error in the predicted service time for each reservation person, and the processing unit is configured to provide the prediction service of each reservation person and the user. The maximum service time and the minimum service time may be calculated from the time and the specified value for each reservation person.
According to this method, since a specified value representing an error specific to each reservation person is reflected in the predicted service time, the evaluation accuracy of the waiting time of each reservation person is improved.

  In the reservation setting method of the present invention, the specified value is an average value of a difference between the predicted service time that is a past record and an actual service time, or a ratio of the difference to the predicted service time. It may be an average value.

  The present invention includes a reservation setting device. In addition, the problems disclosed by the present application and the solutions thereof will be clarified by the description of the mode for carrying out the invention and the drawings.

  ADVANTAGE OF THE INVENTION According to this invention, the reservation time at the time of using a service can be set appropriately, and a user's waiting time can be shortened.

It is a figure which shows the hardware constitutions of the reservation setting apparatus 1. It is a figure which shows the structure of the data memorize | stored in the memory | storage part 15 of the reservation setting apparatus 1, (a) shows the structure of the reservation schedule table 15A, (b) shows the structure of the condition data 15B. It is a flowchart (1/2) which shows the process of the reservation setting apparatus 1. FIG. It is a flowchart (2/2) which shows the process of the reservation setting apparatus 1. FIG. It is a figure (1/4) which shows the example (the state of reservation schedule table 15A) of the reservation setting process by the reservation setting apparatus 1, (a) shows the example read on the memory from the memory | storage part 15, (b) Shows an example of searching for an empty frame, and (c) shows an example of selecting an empty frame and setting a predicted examination time. It is a figure (2/4) which shows the Example of the reservation setting process by the reservation setting apparatus 1, (a) shows the example which calculated the waiting time of each patient when an error is plus, (b) shows an error. The example which calculated the waiting time of each patient in the case of a minus is shown, (c) shows the example which selected another empty frame as a reservation frame. It is a figure (3/4) which shows the Example of the reservation setting process by the reservation setting apparatus 1, (a) shows the example which calculated the waiting time of each patient when an error is positive, (b) shows an error. An example of calculating the waiting time of each patient when minus is shown, (c) shows an example of calculating the waiting time of each patient when error is plus, and (d) is each patient when error is minus An example of calculating the waiting time is shown. It is a figure (4/4) which shows the Example of the reservation setting process by the reservation setting apparatus 1, (a) shows the example which produced the candidate of reservation time, (b) is doctor waiting time about each candidate of reservation time And an example in which the patient waiting time is calculated and the constraint condition is checked, and the reservation schedule table 15A is confirmed.

Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. The reservation setting apparatus according to the embodiment of the present invention predicts the service required time of the customer from the past results when setting the reservation of the user in the reservation schedule table, and among the free time of the reservation schedule table, Assuming that the customer is assigned to the free time, even if there is an error in the estimated required service time, Assign users. Of the reservation times before and after the vacant time to which the user is allocated, the reservation time at which the waiting time of the user and the service provider is equal to or less than the limit value is set for the user.
According to this, it is possible to suppress and shorten the waiting time of new customers, already reserved customers and service providers within the limit value.

  Hereinafter, an example in which a new patient reservation is set in a reservation schedule of a hospital will be described.

≪Device configuration and overview≫
FIG. 1 is a diagram illustrating a hardware configuration of the reservation setting device 1. The reservation setting device 1 includes a communication unit 11, a display unit 12, an input unit 13, a processing unit 14, and a storage unit 15, and each unit is connected so that data can be transmitted and received via a bus 16. The communication unit 11 is a part that performs IP (Internet Protocol) communication and the like with other devices via a network, and is realized by, for example, a NIC (Network Interface Card) or the like. The display unit 12 is a part that displays data according to an instruction from the processing unit 14, and is realized by, for example, a liquid crystal display (LCD). The input unit 13 is a part where an operator inputs data (for example, data such as a reservation time interval and a waiting time upper limit value), and is realized by, for example, a keyboard or a mouse. The processing unit 14 transfers data between the respective units via a predetermined memory and controls the entire reservation setting apparatus 1. A program in which a CPU (Central Processing Unit) is stored in the predetermined memory It is realized by executing. The storage unit 15 stores data from the processing unit 14 and reads the stored data, and is realized by a nonvolatile storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The The reservation setting device 1 may be a stand-alone device (such as a PC (Personal Computer)) or a device (such as a server) that can communicate with a plurality of terminals via a network. .

<< Data structure >>
FIG. 2 is a diagram illustrating a configuration of data stored in the storage unit 15 of the reservation setting device 1. FIG. 2A shows the configuration of the reservation schedule table 15A. The appointment schedule table 15A is a table for managing patient appointments for each examination date. Patient ID 15A1, appointment time 15A2, forecast examination time 15A3, forecast start time 15A4, forecast end time 15A5, doctor waiting time 15A6, and patient waiting time Consists of records for each examination day and each patient including 15A7. The patient ID 15A1 is an ID unique to the patient, and may include the ID (for example, A) of the patient who receives the second and subsequent examinations on the same day. In some cases, the ID (for example, X) of a non-reserved visit patient predicted by a neural network method or the like is included (that is, not a complete reservation system but a patient who visits the day without reservation is also accepted).

For how to estimate the number of non-reserved customers and the required service time for each time period,
A statistical method of calculating an average value or a mode value of past performance data may be used. Paragraphs [0065] and [0072] of Japanese Patent No. 4194573 and paragraphs [0073] and [0073] of Japanese Patent No. 4217869 [0080] The method disclosed in FIG. In addition, regarding the presence or absence of the second and subsequent services (re-examination), for example, patients who received the second and subsequent examinations on the same day for the number of patients who received the first examination every examination day from past performance data The percentage of numbers is calculated, and the average value is used as the revisit rate, and it is determined based on the revisit rate.

  The appointment time 15A2 is a consultation appointment time set for the patient, for example, every predetermined time interval (30 minutes in this example) such as 9:00, 9:30, 10:00, etc. A time is set, and a predicted reception time is set for a predicted non-reserved visit patient (for example, X). The predicted examination time 15A3 is a value obtained by predicting the time taken for the patient's examination, and a neural network method or the like is stored in the storage unit 15 from the actual value data of the examination time actually taken for the patient's examination. Predicted by The predicted start time 15A4 is a value obtained by predicting the time at which a patient's examination starts. Since a plurality of patients are set at the same appointment time 15A2, the estimated examination time 15A3 of the previous patient is accumulated according to the order of appointment. The time is delayed from the reservation time 15A2. The predicted end time 15A5 is a value obtained by predicting the time at which the patient's examination ends, and the time obtained by adding the predicted examination time 15A3 to the predicted start time 15A4 of the patient is set.

  The doctor waiting time 15A6 is a time for the doctor to wait for the patient to come, and when the time obtained by subtracting the predicted start time 15A4 that can be examined by the doctor from the appointment time 15A2 for the patient to visit is set and becomes negative. Since there is no waiting for the doctor, “-” meaning invalid is set. The patient waiting time 15A7 is a time for which the patient waits for a doctor's examination, and when the time obtained by subtracting the appointment time 15A2 for the patient's visit from the predicted start time 15A4 at which the patient is examined is set and becomes negative Since there is no waiting for the patient, “-” meaning invalid is set.

  FIG. 2B shows the configuration of the condition data 15B. The condition data 15B is initial value data which is a precondition for the reservation setting apparatus 1 to perform processing, and includes a reservation time interval 15B1, a doctor waiting time upper limit value 15B2, a patient waiting time upper limit value 15B3, and a consultation time error rate 15B4. Including. The reservation time interval 15B1 is an interval of the reservation time 15A2 set in the reservation schedule table 15A. For example, according to FIG. 2A, 30 minutes is set. The doctor waiting time upper limit value 15B2 indicates the upper limit value of the doctor waiting time 15A6 in the reservation schedule table 15A, and reservation is performed so that the doctor waiting time 15A6 is equal to or less than the doctor waiting time upper limit value 15B2. The patient waiting time upper limit value 15B3 indicates the upper limit value of the patient waiting time 15A7 in the reservation schedule table 15A, and the reservation is performed so that the patient waiting time 15A7 becomes equal to or less than the patient waiting time upper limit value 15B3. The examination time error rate 15B4 is an average value of the ratio of the difference between the predicted examination time 15A3 and the actual examination time with respect to the predicted examination time 15A3 set in the reservation schedule table 15A, and relates to all patients who have visited the hospital. It is calculated from past performance data.

  It is assumed that the storage unit 15 of the reservation setting device 1 stores the predicted value of the consultation time for each patient and the actual diagnosis time corresponding to the predicted value as past performance data.

≪Device processing≫
3A and 3B are flowcharts showing processing of the reservation setting device 1. FIG. In the reservation setting device 1, the processing unit 14 sets a reservation for the patient to receive a medical examination while the processing unit 14 mainly refers to and updates data in the storage unit 15. Can be applied from the empty state.

  First, for example, the appointment setting device 1 calculates the error rate of the predicted service time at the beginning of the examination date, and stores the error rate in the examination time error rate 15B4 of the condition data 15B of the storage unit 15 (S301). . In calculating the error rate, for example, regarding the diagnosis of all patients who visited the hospital by the previous day, the difference between the predicted time and the actual time taken is calculated, and the ratio of the difference to the predicted time is calculated. The average value is calculated, and the average value is used as the error rate. By performing such a calculation between reservation work (time between work end and work start), the accuracy of the examination time error rate 15B4 can be improved.

  The appointment setting device 1 performs the processes of S303 to S322 from the start to the end of the work for accepting the examination appointment on and after the patient's day on the examination date (S302 to S323). First, in response to a reservation request message received by the communication unit 11 or acquired by the input unit 13, it is determined whether or not to set a new reservation customer (user) (S303). This reservation request message includes the patient ID and desired conditions such as the examination date and time zone. Next, the service time of the reservation target customer specified by the patient ID in the reservation request message is calculated from the past performance data using a method such as a neural network (S304).

  Subsequently, the reservation setting device 1 selects a reservation target date according to the desired conditions of the patient included in the reservation request message and the convenience of the hospital such as the time when there is a doctor who can handle the patient's symptoms (S305). ). The reservation target day may be selected automatically by the reservation setting device 1 or may be acquired from the communication unit 11 or the input unit 13 by the hospital clerk or the like after viewing the reservation schedule. Good. Next, the reservation schedule table 15A for the selected reservation target day is read from the storage unit 15 onto a predetermined memory (S306). As a result, the processing unit 14 can quickly refer to and update the reservation schedule table 15A. Then, an empty frame is searched for the reservation schedule table 15A on the memory (S307). For example, if there is a time between the prediction end time 15A5 of a certain patient and the prediction start time 15A4 of the next patient (that is, if the prediction end time 15A5 <the prediction start time 15A4), the free time Becomes an empty frame. At that time, the predicted end time 15A5 of a certain patient becomes the start time of the empty frame, and the predicted start time 15A4 of the next patient becomes the end time of the empty frame. However, for reservation customers, if there is another reservation such as advance preparation (examination etc.) or other department (other medical department) before the start of the consultation, refer to the reservation schedule table 15A, Search for empty slots that do not overlap. If there is no empty frame (NO in S308), another reservation target date is selected (S305), and the search for empty frames is retried (S306, S307).

  If there is an empty frame (YES in S308), the reservation setting device 1 selects an empty frame desired by the customer to be reserved from the empty frames (S309). For example, the selection may be made based on the patient's desired conditions included in the reservation request message, or a plurality of empty frames are displayed on the display or the like and presented to the patient. The selected empty frame may be acquired. Next, the service time of the reservation target customer is temporarily allocated to the selected vacant frame, and the reservation schedule table 15A reflecting the case where an error in the predicted service time occurs is created (S310). For example, if the examination waiting time error rate 15B4 in the storage unit 15 is 10%, as a table in the case of an error on the plus side, the estimated examination time 15A3 of each patient in the reservation schedule table 15A is multiplied by 1.1 (maximum Service time), and a table (minimum service time) obtained by multiplying the predicted examination time 15A3 of each patient in the reservation schedule table 15A by 0.9 times as a table in the case of an error on the minus side. The created table is stored on the memory.

  Then, the reservation setting device 1 calculates the predicted start time 15A4 and the predicted end time 15A5 of the other patient using the predicted examination time 15A3 in the table in the case of the plus side error, and further calculates the patient waiting time 15A7. (S311). Further, in the table in the case of an error on the minus side, the predicted start time 15A4 and the predicted end time 15A5 of another patient (reservee) are calculated using the predicted examination time 15A3, and further the patient waiting time 15A7 is calculated ( S312). Therefore, in the two tables, it is determined whether or not the patient waiting time 15A7 of the other patient satisfies the constraint condition (that is, the patient waiting time upper limit value 15B3 of the storage unit 15) (S313). If the constraint condition is not satisfied (NO in S313), the process returns to the empty frame search (S307).

  If the constraint condition is satisfied (YES in S313), the waiting time of the other patient is suppressed within the upper limit value, so that an appropriate vacant frame is specified for the reservation target customer. Therefore, the reservation setting device 1 creates a reservation time candidate for the reservation target customer (S314). Specifically, first, the reservation time at the hour before and after the empty frame selected in S309 is specified. For example, if the vacant frame is 10:25 to 10:30, 10 o'clock and 11 o'clock are specified as the reservation time. Next, reservation time candidates are specified according to the reservation time interval 15B1 of the storage unit 15 from the specified reservation times before and after. For example, if the reservation time interval 15B1 is 30 minutes, 10:00, 10:30, and 11:00 are specified as candidates for the reservation time.

  Subsequently, the reservation setting device 1 performs the processes of S316 and S317 for each candidate of the reservation time created in S314 (S315 to S318). First, a doctor waiting time 15A6 and a patient waiting time 15A7 when a plus error occurs in the predicted service time are calculated (S316). Also, a doctor waiting time 15A6 and a patient waiting time 15A7 when a minus side error occurs in the predicted service time are calculated (S317). The doctor waiting time 15A6 is a positive value when the prediction start time 15A4 is subtracted from the reservation time 15A2, and if the subtracted value is a negative value, the doctor does not wait and is set to-. The patient waiting time 15A7 is a positive value when the reservation time 15A2 is subtracted from the prediction start time 15A4. If the subtracted value is a negative value, the patient does not wait and is set to-. Then, reservation time candidates are extracted such that the four waiting times satisfy the constraint conditions (doctor waiting time upper limit 15B2 and patient waiting time upper limit 15B3) (S319). If there is no candidate that satisfies the constraint condition (NO in S320), the process returns to the search for an empty frame (S307).

  If there is a candidate that satisfies the constraint condition (YES in S320), the reservation setting device 1 selects a candidate for the reservation time based on the patient's desired condition included in the reservation request message (S321). Then, the received patient ID and the calculated predicted examination time are set as the patient ID 15A1 and the predicted examination time 15A3, the selected appointment time is set as the appointment time 15A2 of the patient, and the start time of the previously selected empty frame is set. By setting the patient's predicted start time 15A4 and setting the empty frame end time as the patient's predicted end time 15A5, the reservation schedule table 15A on the memory is fixed. The reservation schedule table 15A is overwritten and stored (S322). Thus, since a series of reservation setting processes for the new reservation customer is completed, the process returns to the reservation request check in S303.

<Example>
4A to 4D are diagrams illustrating an example of reservation setting processing performed by the reservation setting device 1. Each figure has a configuration in which a remarks column is added to the reservation schedule table 15A of FIG. Hereinafter, a detailed example of the table operation will be described while showing the correspondence with the step numbers in the flowcharts of FIGS.

  As shown in FIG. 4A (a), first, the reservation setting device 1 reads the reservation schedule table 15A from the storage unit 15 to the memory in order to reserve a new reservation customer (corresponding to S306). In the patient ID, a result of predicting a non-reserved patient for each time zone by a neural network or the like is reflected. The predicted examination time is a value obtained by predicting the examination time of each patient using a neural network or the like. In patients A and X, the result of predicting the second and subsequent examinations after 1 hour from the first time is reflected by a neural network or the like.

  As shown in FIG. 4A (b), next, the reservation setting device 1 searches for an empty frame (corresponding to S307). There is a 25-minute vacant frame between the predicted end time 9:35 for patient X (not reserved) and the predicted start time 10:00 for patient D. Further, there is a 5-minute vacant frame between the predicted end time 10:25 of the patient E and the predicted start time 10:30 of the patient F.

As shown in FIG. 4A (c), subsequently, the reservation setting device 1 selects a vacant frame desired by the reservation target customer from the vacant frames, and sets a predicted examination time (corresponding to S309). The procedure is shown below.
[1] As an appointment frame for patient H, an empty frame of 10:25 to 10:30 is selected.
[2] Set the predicted examination time.

  Here, in the condition data 15B of the storage unit 15, as a constraint condition, 30 minutes is set in the reservation time interval 15B1, 15 minutes is set in the doctor waiting time upper limit 15B2, and 30 minutes is set in the patient waiting time upper limit 15B3. Is set, and the examination time error rate 15B4 is set to 10%.

As shown in FIG. 4B (a), the appointment setting device 1 creates an appointment schedule table 15A when the error is positive, and calculates the waiting time of each patient (corresponding to S310 and SS311). The procedure is shown below.
[1] Calculate the predicted examination time when the error is positive (ie, 1.1 times).
[2] Calculate the prediction start time and the prediction end time.
[3] Calculate patient waiting time.
[4] The patient waiting time of patient G exceeds the patient waiting time upper limit 15B3 of 30 minutes.

As shown in FIG. 4B (b), the reservation setting device 1 creates a reservation schedule table 15A when the error is negative, and calculates the waiting time of each patient (corresponding to S310 and SS312). The procedure is shown below.
[1] Calculate the predicted examination time when the error becomes negative (ie, 0.9 times).
[2] Calculate the prediction start time and the prediction end time.
[3] Calculate patient waiting time.
[4] The patient waiting time of patient G exceeds the patient waiting time upper limit 15B3 of 30 minutes.

As shown in FIG. 4B (c), the reservation setting device 1 selects another empty frame as the reserved frame (corresponding to S309). The procedure is shown below.
[1] As an appointment frame for patient H, another empty frame, 9:35 to 10:00, is selected.
[2] Set the predicted examination time.

As shown in FIG. 4C (a), the reservation setting device 1 creates a reservation schedule table 15A when the error is positive, and calculates the waiting time of each patient (corresponding to S310 and SS311). The procedure is shown below.
[1] Calculate the predicted examination time when the error is positive (ie, 1.1 times).
[2] Calculate the prediction start time and the prediction end time.
[3] Calculate patient waiting time.
[4] The patient waiting time of each patient is OK within 30 minutes of the patient waiting time upper limit 15B3.

As shown in FIG. 4C (b), the reservation setting device 1 creates a reservation schedule table 15A when the error is negative, and calculates the waiting time of each patient (corresponding to S310 and SS312). The procedure is shown below.
[1] Calculate the predicted examination time when the error becomes negative (ie, 0.9 times).
[2] Calculate the prediction start time and the prediction end time.
[3] Calculate patient waiting time.
[4] The patient waiting time of each patient is OK within 30 minutes of the patient waiting time upper limit 15B3.

  As shown in FIG. 4C (c), the appointment setting device 1 creates an appointment schedule table 15A when the error is positive, and calculates the waiting time of each patient (corresponding to S316). The procedure is the same as in FIG. 4C (a).

  As shown in FIG. 4C (d), the reservation setting device 1 creates a reservation schedule table 15A when the error is negative, and calculates the waiting time of each patient (corresponding to S317). The procedure is the same as in FIG. 4C (b).

  As shown in FIG. 4D (a), the reservation setting device 1 creates reservation time candidates (corresponding to S314). Since the vacant slots allocated to the patient H are 9:35 to 9:55, the reservation time is 9:00 and 10:00, which are the hour before and after that, and 9:30 corresponding to the reservation time interval of 30 minutes. Become a candidate.

  As shown in FIG. 4D (b), the appointment setting device 1 calculates a doctor waiting time and a patient waiting time for each candidate for the appointment time, and checks the constraint conditions (corresponding to S315 to S321). When the appointment time is 9:00, the patient waiting time exceeds the upper limit of 30 minutes, and when the appointment time is 10:00, the doctor waiting time exceeds the upper limit of 15 minutes. On the other hand, when the reservation time is 9:30, the restriction condition is satisfied, so 9:30 is selected.

  As shown in FIG. 4D (c), the reservation setting device 1 determines the reservation schedule table 15A, and stores the contents of the determined table in the storage unit 15 (corresponding to S322).

  In the above-described embodiment, in order to cause each unit in the reservation setting apparatus 1 shown in FIG. 1 to function, a program executed by the processing unit 14 is recorded on a computer-readable recording medium, and the recorded program is recorded. It is assumed that the reservation setting apparatus 1 according to the embodiment of the present invention is realized by being read and executed by a computer. In this case, the program may be provided to the computer via a network such as the Internet, or a semiconductor chip or the like in which the program is written may be incorporated in the computer.

  According to the embodiment of the present invention described above, the predicted setting time of each patient is set in the reservation schedule table 15A of the storage unit 15 by the reservation setting device 1 without being limited to the number of people per time slot according to the reservation time. Using 15A3, it is possible to make an assignment that satisfies the waiting time requirements of the patient or doctor in the vacant time between the reserved patients already assigned. According to this, it is possible to prevent the waiting time of the patient from increasing too much in one time zone and the waiting time of the patient from increasing, or the waiting time of the doctor to increase due to the time zone without the reservation patient.

<< Other embodiments >>
As mentioned above, although the form for implementing this invention was demonstrated, the said embodiment is for making an understanding of this invention easy, and is not for limiting and interpreting this invention. The present invention can be changed and improved without departing from the gist thereof, and equivalents thereof are also included in the present invention. For example, the following embodiments can be considered.

(1) In the above-described embodiment, the reservation setting device 1 for making a medical appointment reservation in a hospital or the like has been described. However, the present invention is not limited to such an embodiment, and other service providing facilities, for example, The reservation setting device 1 may be applied to a reservation at a beauty salon or a restaurant.

(2) In the above embodiment, using the error rate (average value) of 1 regarding the plus side error and minus side error of the examination time, the estimated examination time of all the reserved patients on the examination date is uniformly corrected. The waiting time was evaluated based on the corrected predicted examination time, but the error rate of each patient's examination time was obtained, and the estimated examination time of each reserved patient was recalculated with the respective error rate and waited. You may make it evaluate time. Further, instead of the error rate, a difference between the predicted examination time calculated from the past results and the actual examination time or an average value of the difference may be used.

1 Reservation Setting Device 14 Processing Unit 15 Storage Unit 15A Reservation Schedule Table (Reservation Data)
15A1 Patient ID
15A2 Reservation time 15A3 Predictive consultation time (predicted service time)
15A4 prediction start time 15A5 prediction end time 15A6 doctor waiting time 15A7 patient waiting time 15B condition data 15B2 doctor waiting time upper limit value (upper limit value)
15B3 Patient waiting time upper limit (upper limit)
15B4 Examination time error rate (a specified value that represents the error in the predicted service time)

Claims (5)

Reservation data including reservation time, prediction service time, prediction start time, prediction end time, and waiting time for each reservation person for whom a reservation for service is set, and a prescribed value representing an error in the prediction service time A reservation setting method for setting a reservation of a service user by a computer including a storage unit for storing condition data including:
The processor is
Receiving the user's reservation request, predicting and calculating the predicted service time of the user;
In the reservation data, a step of identifying one empty frame among one or more empty frames having the prediction end time of a certain reservation person as a start time and the prediction start time of the next reservation person as an end time;
In the reservation data, the prediction start time and the prediction end time of each reservation person are recalculated based on the maximum service time calculated from the prediction service time of each reservation person and the user and the specified value. And recalculating the waiting time of each reservation by subtracting the reservation time from the predicted start time,
In the reservation data, the prediction start time and the prediction end time of each reservation person are recalculated based on the minimum service time calculated from the prediction service time of each reservation person and the user and the specified value. And recalculating the waiting time of each reservation by subtracting the reservation time from the predicted start time,
If the waiting time of each reservation person based on the maximum service time and the waiting time of each reservation person based on the minimum service time are not more than a predetermined upper limit value, the start time of the vacant frame is set in the reservation data. Storing the user's prediction start time in the storage unit and storing the user's prediction service time in the prediction start time in the storage unit as the user's prediction end time;
Identifying the reservation time candidates before, after or between the empty slots;
For each candidate for the reservation time, calculating the waiting time of the user by subtracting the reservation time from the prediction start time based on the maximum service time;
For each candidate for the reservation time, calculating the waiting time of the service provider by subtracting the predicted start time based on the minimum service time from the reservation time;
If there is a candidate for the reservation time when the waiting time of the user is equal to or less than a predetermined user waiting time upper limit and the waiting time of the service provider is equal to or less than a predetermined provider waiting time upper limit, Storing a candidate in the storage unit as a reserved time of the user;
The reservation setting method characterized by performing. The reservation setting method according to claim 1,
The condition data includes a specified value representing an error in the predicted service time for each reservation person,
The processing unit calculates the maximum service time and the minimum service time from the predicted service time of each reservation person and the user and the specified value for each reservation person. . The reservation setting method according to claim 1 or claim 2 ,
The specified value is an average value of a difference between the predicted service time that is a past performance and an actual service time, or an average value of a ratio of the difference to the predicted service time. Method. A reservation setting device for setting a reservation for a service user,
A processing unit;
Reservation data including a reservation time, a predicted service time, a prediction start time, a prediction end time, and a waiting time for each reservation person for whom a service reservation is set, and condition data including a specified value representing an error in the predicted service time; A storage unit for storing
With
The processor is
Means for accepting the user's reservation request and predicting and calculating the predicted service time of the user;
In the reservation data, a means for specifying one empty frame out of one or more empty frames whose start time is the prediction end time of a certain reservation person and whose prediction start time is the end time of the next reservation person;
In the reservation data, the prediction start time and the prediction end time of each reservation person are recalculated based on the maximum service time calculated from the prediction service time of each reservation person and the user and the specified value. And means for recalculating the waiting time of each reservation person by subtracting the reservation time from the prediction start time,
In the reservation data, the prediction start time and the prediction end time of each reservation person are recalculated based on the minimum service time calculated from the prediction service time of each reservation person and the user and the specified value. And means for recalculating the waiting time of each reservation person by subtracting the reservation time from the prediction start time,
If the waiting time of each reservation person based on the maximum service time and the waiting time of each reservation person based on the minimum service time are not more than a predetermined upper limit value, the start time of the vacant frame is set in the reservation data. Means for storing in the storage unit as a prediction start time of the user, and storing in the storage unit a time obtained by adding the prediction service time of the user to the prediction start time as the prediction end time of the user;
Means for identifying candidates for the reservation time before and after the vacant frame;
Means for calculating the waiting time of the user by subtracting the reservation time from the predicted start time based on the maximum service time for each candidate of the reservation time;
Means for calculating the waiting time of the service provider by subtracting the predicted start time based on the minimum service time from the reservation time for each candidate of the reservation time;
If there is a candidate for the reservation time when the waiting time of the user is equal to or less than a predetermined user waiting time upper limit and the waiting time of the service provider is equal to or less than a predetermined provider waiting time upper limit, Means for storing a candidate in the storage unit as a reserved time of the user;
A reservation setting device. The reservation setting device according to claim 4 ,
The processor is
Means for identifying candidates for the reserved time before and after the empty frame;
Means for calculating the waiting time of the user by subtracting the reservation time from the predicted start time based on the maximum service time for each candidate of the reservation time;
Means for storing the candidate in the storage unit as a reservation time of the user if there is a candidate of the reservation time at which the waiting time of the user is equal to or less than a predetermined upper limit;
The reservation setting device further comprising:

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