JP2024047486A - Apparatus, method and program for ordering products at medical institutions - Google Patents

Abstract

[Problem] To improve the efficiency of product ordering processing in medical institutions. [Solution] First, the device 100 sets a reference time point such as a reference date (S201). Next, the device 100 acquires predicted demand data up to the reference time point (S202). The device 100 calculates a predicted inventory amount at the reference time point based on the predicted demand data (S203). Next, the device 100 determines whether the predicted inventory amount on the reference date is equal to or less than a first inventory amount (S204). If the predicted inventory amount is equal to or less than the first inventory amount, the device 100 determines an order quantity for the product so that the order quantity is equal to or greater than the difference between the first inventory amount and the predicted inventory amount (S205). Since each product has a minimum order unit, the order quantity is a multiple of the minimum order unit. Then, the device 100 transmits an order proposal for the determined order quantity to the medical institution terminal 110 (S206). [Selected Figure] Figure 2

Description

The present invention relates to a device, method, and program for ordering products at medical institutions.

Pharmacies and other medical institutions purchase medicines from wholesalers and other retailers, and prepare and dispense one or more medicines prescribed to patients as necessary when they visit the pharmacy. Since medical institutions need to dispense medicines at the request of patients, they endeavor to secure sufficient stock of both types and quantities.

Each drug is assigned a code to identify it, and even if the active ingredients are the same, different codes may be assigned to different products if they are made by different manufacturers. In actual distribution, each product is sold in a certain unit, and there are sales packaging units, which are the minimum order unit, and original packaging units in which multiple products of the sales packaging unit are packed. Codes are also assigned to identify these packaging units, and a code system called GS1 is used internationally. For example, the sales packaging unit of 10 PTP packaging sheets containing 10 tablets of "Loxonin Tablets 60 mg" is assigned the code "14987081105400" according to the GS1 system. Medical institutions specify these codes to purchase the type and amount of product they need.

However, currently, medical institutions are unable to properly manage which types of products to order, how much to order, and when to order them, and instead place orders based on past experience, resulting in inefficiencies such as inventory shortages and having to request urgent deliveries, or, conversely, excess inventory.

The present invention was made in consideration of these problems, and its purpose is to improve the efficiency of product ordering processes at medical institutions.

In order to achieve this object, a first aspect of the present invention is a method for processing orders for products at a medical institution, comprising the steps of: setting a reference time point; obtaining a first predicted value of a demand quantity at the medical institution on a daily or daily basis for each product represented by a first code up to the reference time point; obtaining a second predicted value of an inventory quantity for each product on a daily or daily basis up to the reference time point; calculating a predicted inventory quantity for each product at the reference time based on the first predicted value and the second predicted value; determining, for each product , whether the predicted inventory quantity is less than or equal to a first inventory quantity determined for each product at the medical institution; and, if the determination result is positive, proposing an order for an order quantity equal to or greater than the difference between the first inventory quantity and the predicted inventory quantity, wherein the first inventory quantity is a quantity determined based on the demand quantity within a predetermined period at the medical institution, calculated excluding the demand quantity from one or more specific patients identified in advance.

The second aspect of the present invention is the method of the first aspect, in which the first inventory amount is the maximum demand amount per day within a specified period at the medical institution or an amount corresponding thereto, calculated excluding the demand amount from the one or more specific patients.

A third aspect of the present invention is a method according to the first or second aspect, in which the calculation of the predicted inventory amount includes subtracting the quantity of demand from a specific patient who is predicted to visit within a first specific period that is specified in advance from the reference time point, or a quantity corresponding thereto.

The fourth aspect of the present invention is the method of the third aspect, in which the first specific period is 7 days or more and 10 days or less.

The fifth aspect of the present invention is the method of the third aspect, in which the order quantity is a multiple of the quantity included in the order unit represented by a second code different from the first code.

The sixth aspect of the present invention is the method of the fifth aspect, in which the order quantity is equal to or greater than the difference between a reference inventory quantity that exceeds the first inventory quantity and the predicted inventory quantity.

A seventh aspect of the present invention is a method according to the first or second aspect, which includes a step of determining, for each product, whether the estimated inventory amount for the day at the time of calculation or after the end of business hours on that day, represented by the first code, is less than or equal to the first inventory amount at the medical institution, and, if the determination result is positive, a step of proposing an order for same-day delivery of a quantity for the day that is equal to or greater than the difference between the first inventory amount and the estimated inventory amount for the day.

The eighth aspect of the present invention is the method of the seventh aspect, in which the estimated inventory quantity for the day at the time of calculation is the inventory quantity at the time of calculation minus the demand quantity for one or more specific patients who are predicted to visit within a second specific period specified in advance from the current day.

In addition, a ninth aspect of the present invention is a program for causing a computer to execute a method for ordering products at a medical institution, the method including the steps of: setting a reference time; acquiring a first predicted value of the demand quantity at the medical institution on a daily or daily basis for each product represented by a first code up to the reference time; acquiring a second predicted value of the inventory quantity on a daily or daily basis for each product up to the reference time; calculating a predicted inventory amount for each product after the close of business at the reference time based on the first predicted value and the second predicted value; determining for each product whether the predicted inventory amount is less than or equal to a first inventory amount determined for each product at the medical institution; and, if the determination result is positive, proposing an order amount equal to or greater than the difference between the first inventory amount and the predicted inventory amount, the first inventory amount being a quantity determined based on the demand amount within a predetermined period at the medical institution, calculated excluding the demand amount for one or more specific patients specified in advance.

In addition, a tenth aspect of the present invention is a device for ordering products at a medical institution, which sets a reference time, obtains a first predicted value of the demand quantity at the medical institution on a daily or daily basis for each product represented by a first code up to the reference time, obtains a second predicted value of the inventory quantity for each product on a daily or daily basis up to the reference time, calculates a predicted inventory amount for each product after the close of business at the reference time based on the first predicted value and the second predicted value, and determines for each product whether the predicted inventory amount is less than or equal to a first inventory amount determined for each product at the medical institution, and if the determination result is positive, proposes ordering an order amount equal to or greater than the difference between the first inventory amount and the predicted inventory amount, and the first inventory amount is a quantity determined based on the demand amount within a predetermined period at the medical institution, calculated excluding the demand amount for one or more specific patients specified in advance.

According to one aspect of the present invention, the predicted inventory amount for each product on a reference date is compared with a first inventory amount set for each product at the medical institution, and an appropriate ordering proposal is made when the predicted inventory amount is equal to or less than the first inventory amount, thereby reducing the possibility of inventory shortages for each product on the reference date.

FIG. 1 is a diagram showing an apparatus for ordering goods according to a first embodiment of the present invention. FIG. 2 is a diagram showing the flow of a product ordering method according to the first embodiment of the present invention. FIG. 4 is a diagram showing a change in inventory amount accompanying a product order according to the first embodiment of the present invention. FIG. 2 is a diagram for explaining a specific patient according to the first embodiment of the present invention. FIG. 11 is a diagram for explaining a change in inventory amount accompanying a product order according to the second embodiment of the present invention. FIG. 11 is a diagram showing the flow of a product ordering method according to a second embodiment of the present invention.

The following describes in detail an embodiment of the present invention with reference to the drawings.

First Embodiment
1 shows an apparatus for ordering products according to a first embodiment of the present invention. The apparatus 100 transmits an ordering proposal to a medical institution terminal 110 used by a medical institution based on predicted demand data, and transmits ordering data to a distributor terminal (not shown) as necessary after receiving an ordering request from the medical institution terminal 110. The predicted demand data includes a predicted value of a demand quantity per day or per day for each product represented by a first code, and the ordering data includes a value of an order quantity per day or per day for each packaging unit identified by a second code corresponding to the first code.

The device 100 includes a communication unit 101 such as a communication interface, a processing unit 102 such as a processor or CPU, and a storage unit 103 including a storage device or storage medium such as a memory or a hard disk, and can be configured by executing a program for performing each process or operation. The device 100 may include one or more devices, computers, or servers. The program may include one or more programs, and may be recorded in a computer-readable storage medium to form a non-transient program product. The program is stored in a storage device or storage medium accessible from the storage unit 103 or the device 100, and instructions included in the program can be executed in at least one processor of the processing unit 102. In FIG. 1, a database 104 is shown as a storage device or storage medium accessible from the device 100. The database 104 may be a component constituting the device 100, and data stored therein may be stored in the storage unit 103.

The database 104 stores inventory data that is a correspondence between a first code and the inventory of the product represented by the first code. When an ordered product is received, the inventory of the product increases, and when a product prescribed to a patient is sold and shipped, the inventory of the product decreases. For example, the inventory after business hours on the next day is the amount obtained by adding the estimated in-stock amount from the calculation point of the day to the close of business on the next day, and subtracting the estimated out-stock amount from the calculation point of the day to the close of business on the next day. More generally, the estimated inventory amount at the reference point of the next day is the amount obtained by adding the estimated in-stock amount from the calculation point of the day to the reference point of the next day, and subtracting the estimated out-stock amount from the calculation point of the day to the reference point of the next day. More generally, the estimated inventory amount at the reference point of the next day is the amount obtained by adding the estimated in-stock amount from the calculation point of the day to the reference point of the next day, and subtracting the estimated out-stock amount from the calculation point of the day to the reference point of the next day, and the reference point may be a date and time several days later, or may be a date and time after the calculation point of the day. Also, when an item is ordered, it may be calculated as if it was received at that time and added to the inventory amount at the time of calculation. In this specification, "receiving" means that an item is received and added to inventory, and "issuing" means that an item is sold and removed from inventory.

The device 100 according to this embodiment proposes ordering the product so that the predicted inventory amount of the product at the reference time is not equal to or less than the first inventory amount, thereby making it possible to efficiently prevent inventory shortages. This will be described in detail below. In this specification, the term "reference inventory amount" refers to a reference inventory amount determined for each product by a medical institution, the term "first inventory amount" refers to an inventory amount determined for each product by a medical institution that is less than the reference inventory amount as necessary, and the term "second inventory amount" refers to an inventory amount that exceeds the reference inventory amount determined for each product by a medical institution. As an example, the second inventory amount may be the maximum inventory amount of the product determined based on the maximum inventory amount that can be secured for all products by a medical institution.

First, the device 100 sets a reference point in time, such as a reference date (S201). For example, the reference point in time may be set to a point after the closing time of the next day. Next, the device 100 acquires predicted demand data up to the reference point in time (S202). The predicted demand data may be generated using various data, such as past delivery history data, order history data, and prescription data, alone or in combination, at the medical institution that processes the order. It is also possible to use data from medical institutions other than the medical institution in question. In addition, the predicted demand data may be received by the device 100 via a computer network, or may be generated by the device 100 itself.

The forecast demand data is, for example, a forecasted value of the demand quantity on a daily or date/time basis for each product represented by a first code, where the first code is a code for identifying each product in inventory management. Specifically, a YJ code or a unique management code may be used. As an example, the forecasted value of the demand quantity may be expressed by an expected value, an interval estimate, or a lower limit of a confidence interval based on the interval estimate.

The device 100 calculates the predicted inventory amount at the reference time based on the predicted demand data (S203). When ordering a product, for example, the delivery date or delivery time is determined depending on the supplier, so by associating the delivery date or delivery time of each ordered product with the order data in the database 104, the device 100 can predict the quantity of each product scheduled to be stored between the calculation time and the reference time by accessing the order data before storage and the delivery date or delivery time associated therewith. Since the predicted outgoing amount up to the reference time can be predicted based on the predicted demand data, the device 100 can calculate the predicted inventory amount at the reference time. The delivery date or delivery time may be part of the order data as necessary. Also, if the reference time is after business hours or before business hours, it is not necessary to know the time of delivery, but it is sufficient to know the delivery date, and the demand quantity is not necessary to know the outgoing amount on a daily basis, but it is sufficient to know the outgoing amount. Also, the inventory amount at the calculation time can be the actual inventory amount at that time or an amount corresponding to it, and does not need to be the inventory amount at that time strictly. For ease of calculation, when an item is ordered, it may be assumed that the item has been received at that time and added to the inventory amount at the time of calculation. Here, if the upper limit of the confidence interval based on interval estimation is used as the predicted value of the demand quantity, the predicted inventory amount will be the lower limit of that confidence interval. For simplicity, the reference point will be referred to as the reference day after the closing time of the reference point, for simplicity's sake, but it should be noted that the present invention is also applicable to a point during business hours as the reference point.

Next, the device 100 determines whether the predicted inventory amount on the reference date is equal to or less than the first inventory amount (S204). The first inventory amount may be determined for each product as a quantity that should not fall below that amount, and stored in the database 104. The reference date can be the same day or several days later, but for simplicity, the following explanation assumes that the reference date is a point in time after the closing time of business several days later. Also, the period from ordering to delivery may differ depending on the supplier and the product, but if the order is completed by a specified time on the day, delivery will be made by the closing time of business the next day, and the calculation time of the predicted inventory amount is set to be before that specified time.

The first inventory amount determined for each product may be, for example, the maximum daily demand quantity for the product in a specified period at the medical institution that receives the proposal from the device 100 or a quantity corresponding thereto. Specifically, the first inventory amount may be the maximum daily demand quantity multiplied by a coefficient exceeding 1. The coefficient may be determined according to the unit price of the product. More generally, the first inventory amount may be an amount determined based on the demand quantity for the product in a specified period at the medical institution that receives the proposal from the device 100. The specified period may be the past three or four months from the time of calculation, or a past period in the season to which the calculation time belongs, etc. The first inventory amount may be changed by the device 100 in response to a selection to decrease or increase the inventory amount or other input made on the display screen of the medical institution terminal 110.

If there is a patient in the medical institution who is prescribed a larger amount of medication than other patients, it is preferable to preliminarily identify such a patient as a "specific patient" and set the first inventory amount to an amount determined based on the demand amount within the specified period, calculated excluding the demand amount for the specific patient. The specific patient may be registered by the device 100 receiving a designation from the medical institution terminal 110, or the device 100 may identify and register the specific patient based on a specified algorithm using the past prescription amount for each patient. For the specific patient, the device 100 may predict and store the next expected visit date, or may store the planned visit date received from the medical institution terminal 110.

If the predicted inventory amount is equal to or less than the first inventory amount, the device 100 determines the order quantity of the product so that it is equal to or greater than the difference between the first inventory amount and the predicted inventory amount (S205). Since each product has a minimum order unit, the order quantity is a multiple of the minimum order unit. The device 100 then transmits an order proposal for the determined order quantity to the medical institution terminal 110 (S206). The order proposal preferably includes a date or date and time that is the order deadline that is equal to or greater than the required delivery days or delivery time before the reference date, so that the product will be in stock by the reference date. For example, if the calculation date for a certain product is September 1st and it is determined that the predicted inventory amount is equal to or less than the first inventory amount on the reference date, September 3rd, if the required delivery days for the product is one day, a proposal with an order deadline of September 2nd may be transmitted to the medical institution terminal 110.

After receiving an order request corresponding to the order proposal from the medical institution terminal 110, the device 100 can generate order data corresponding to the order proposal and transmit it to the vendor terminal. The generation of the order data may be performed simultaneously with or before the transmission of the order proposal. The device 100 may receive an order request with contents different from the order proposal, and transmit order data corresponding to the received contents to the vendor terminal as necessary. As an example, the order proposal may be transmitted as data in HTML format in which the order conditions can be changed on the display screen of the medical institution terminal 110, and an order request for a quantity different from the determined order quantity included in the order proposal may be received. It is also possible that the order quantity is not determined in the device 100, and the order proposal does not include a specification of the order quantity. It is also possible that the delivery deadline may be variable or not included.

If the predicted inventory amount is greater than or equal to the first inventory amount, the device 100 may reset the reference date, such as by incrementing the reference date. If the reference date is reset, the same process is repeated. Also, even if the predicted inventory amount is greater than or equal to the first inventory amount, if a specified condition is satisfied, it may be possible to proceed to determining the order quantity and sending an order proposal.

Figure 3 shows a schematic diagram of the fluctuation of the inventory amount due to the ordering process according to this embodiment. The horizontal axis is the date, and the vertical axis is the inventory amount after the closing time. Here, the predicted inventory amount is an interval estimation, with the solid line representing the expected value, the dotted line above the solid line representing the upper limit of the confidence interval, and the dotted line below the solid line representing the lower limit of the confidence interval. As the business days of the medical institution pass, the predicted inventory amount decreases, and if it is determined that the first inventory amount set to a level less than the reference inventory amount on the base date will fall below the lower limit, the required delivery date is assumed to be one day, and the business day before that becomes the required order date. By placing an order on the required order date, the ordered quantity of goods is received on the base date the following day, and it is possible to prevent the lower limit of the confidence interval from falling below the minimum inventory amount as shown in the figure.

The order quantity is preferably a multiple of the quantity included in the order unit represented by a second code, such as a GS1 code, different from the first code, and the ordered quantity, when received, is equal to or exceeds the reference inventory quantity or the first inventory quantity. In the illustrated example, a quantity is ordered in which the expected value of the forecasted inventory quantity exceeds the reference inventory quantity.

It is also preferable to determine the order quantity so that the predicted value of the predicted inventory amount is equal to or less than the second inventory amount of the target medical institution. In the illustrated example, if the expected value is the predicted value, it exceeds the reference inventory amount and is less than the second inventory amount, but if the upper limit of the confidence interval is the predicted value, it exceeds the second inventory amount. In order to increase the possibility of avoiding the risk that the inventory amount will exceed the second inventory amount, it is preferable to set the upper limit to or less than the second inventory amount.

As mentioned above, since the order quantity is a multiple of the quantity included in the order unit represented by the second code, it is not preferable to place an additional order even if the ordered quantity is received until it is equal to or less than the second inventory amount. In FIG. 3, the orderable date represents the first day on which the next day's predicted inventory amount plus the quantity of the minimum order unit is equal to or less than the second inventory amount.

For a certain product, if the first inventory amount is determined based on the demand amount within a specified period calculated excluding the demand amount by a specific patient, the demand amount by the specific patient is not taken into consideration in the calculation of the predicted inventory amount. In this case, although the excess inventory amount can be suppressed, the risk of a sudden inventory shortage due to a specific patient's visit increases. Therefore, in calculating the predicted inventory amount, it is preferable to subtract from the reference date the demand amount by one or more specific patients who are predicted to visit within a specific period specified in advance (hereinafter also referred to as the "first specific period") or a quantity corresponding thereto. The quantity corresponding to the demand amount can be, for example, a quantity obtained by multiplying the demand amount by a coefficient. The specific period can be a period of 7 days or more, such as 7 days or 10 days. The inventors found from past delivery history data, etc. that there is a certain number of patients who visit pharmacies about one week before the prescribed medicine runs out, and therefore, it is effective in suppressing inventory shortages to stock in advance the demand amount by specific patients who are predicted to visit within a period of 7 days or slightly longer. The first specific period should preferably not exceed 14 days, and more preferably not exceed 10 days, since this can lead to excess inventory. For example, as shown in FIG. 4, if the calculation date is July 27, the reference date is August 15, and a specific patient is predicted to visit the pharmacy on August 25, when the specific period is 10 days, the predicted inventory amount for August 15 will be calculated, including the demand from the specific patient.

As explained above, by comparing the predicted inventory amount for each product on the reference date with a first inventory amount that is less than the reference inventory amount set for each product at the medical institution, and making an order proposal when the predicted inventory amount is equal to or less than the first inventory amount, it is possible to reduce the possibility of inventory shortages for each product on the reference date. It should be noted that the effects of the present invention can be obtained by performing the comparison and calculation for the purpose on only a portion of the products sold by the medical institution, not necessarily on all of the products.

Second Embodiment
FIG. 5 is a diagram for explaining the fluctuation of the stock amount due to the ordering process according to this embodiment. The horizontal axis is the date, and the vertical axis is the stock amount after the closing time. The stock amount of a certain product decreases from February 1st, an order is placed on February 5th, and an amount that reaches the standard stock amount is received on February 6th. After that, the stock amount repeats decreasing and increasing, and falls below the first stock amount on February 16th. This is not expected to occur if the ordering process according to the first embodiment is performed, but it can occur when the demand amount on the 16th greatly exceeds the forecast. In such a case, the medical institution needs to urgently request delivery during business hours on the 16th.

To this end, in the second embodiment, actual values such as the change in the inventory amount on the day in units of hours, minutes, or seconds are obtained (S601), and it is determined whether the estimated inventory amount after the closing time (S602) estimated based on that will be equal to or less than the first inventory amount (S603). If the determination result is positive, the device 100 determines the order quantity (S604) and transmits an order proposal based on delivery conditions for same-day delivery to the medical institution terminal 110 (S605). The inventory quantity and order quantity can be determined by any of the methods described in the first embodiment.

Alternatively, it may be determined whether the inventory amount at the time of calculation is equal to or less than the first inventory amount, instead of the estimated inventory amount after the closing time of the day. The determination may be repeated at a predetermined interval or at a predetermined time during business hours, and if it is determined that the inventory amount at the time of calculation is equal to or less than the first inventory amount, an ordering proposal may be sent to the medical institution terminal 110. For the sake of convenience of calculation, when an item is ordered, it may be added to the inventory amount at the time of calculation as if it was temporarily stored at that time. In addition, the estimated inventory amount at the time of calculation may be determined by subtracting the demand amount of one or more specific patients who are expected to visit within a specific period (hereinafter also referred to as the "second specific period") specified in advance from the current day from the inventory amount at the time of calculation. As the second specific period, a period of 7 days or more and 10 or 14 days or less may be considered, as in the case of the first specific period.

The order quantity proposed by the order proposal is preferably a multiple of the quantity included in the order unit represented by a second code, such as a GS1 code, different from the first code, and the ordered quantity, when received, is equal to or exceeds the reference inventory quantity or the first inventory quantity. If the demand quantity for a specific patient is not subtracted from the inventory quantity used in the above determination, the order quantity may be added with the demand quantity for one or more specific patients who are predicted to visit within the second specific period.

As in the first embodiment, the device 100 may be capable of receiving an order request with contents different from the order proposal, and transmitting order data corresponding to the received contents to the seller terminal as necessary. As an example, the order proposal may be transmitted as HTML format data whose order conditions are changeable on the display screen of the medical institution terminal 110, and an order request for a quantity different from the determined order quantity included in the order proposal may be received. It is also possible that the order quantity is not determined in the device 100, and the order proposal does not include a specification of the order quantity. Similarly, it is also possible that the delivery deadline may be variable or not included at all.

In the above explanation, the proposal for same-day delivery according to this embodiment has been described as being used when the proposal according to the first embodiment is used, but the inventory for that day is still insufficient or is estimated to be insufficient. However, the medical institution may use only the proposal for same-day delivery according to this embodiment. In particular, by proposing to the medical institution an order quantity that includes the demand quantity for a specific patient, the possibility of a sudden inventory shortage can be further reduced.

Please note that in the above embodiments, unless there is a statement that "only" is used, such as "based only on XX", "depending only on XX", or "in the case of XX only", it is assumed in this specification that additional information may be taken into consideration. As an example, please note that the statement "do b when a" does not necessarily mean "do b always when a" or "do b immediately after a" unless expressly stated. Furthermore, the statement "each a constituting A" does not necessarily mean that A is composed of multiple components, but includes the case where the component is singular.

For the avoidance of doubt, even if there is an aspect of a method, program, terminal, device, server, or system (hereinafter "method, etc.") that performs an operation different from that described in this specification, each aspect of the present invention is directed to an operation identical to any of the operations described in this specification, and the existence of an operation different from that described in this specification does not cause the method, etc. to fall outside the scope of each aspect of the present invention.

In addition, the "start" and "end" shown in Figures 2 and 6 are merely examples, and do not mean that the method according to this embodiment necessarily starts with S201 or S601, or necessarily ends with S205 or S605.

Reference Signs List 100: Device 101: Communication unit 102: Processing unit 103: Storage unit 104: Database 110: Medical institution terminal

Claims (10)

A method for processing an order for a product at a medical institution, comprising:
setting a reference time point;
obtaining a first predicted value of a demand quantity at the medical institution on a daily or date-by-date basis for each commodity represented by a first code up to the reference time point;
obtaining a second forecast value of the inventory quantity for each of the products on a daily or daily basis up to the reference time point;
calculating a predicted inventory amount for each of the products at the reference time point based on the first predicted value and the second predicted value;
determining, for each product , whether the predicted inventory amount is equal to or less than a first inventory amount determined for each product at the medical institution;
If the determination result is positive, proposing to order an order quantity equal to or greater than the difference between the first inventory amount and the predicted inventory amount;
The first inventory amount is a quantity determined based on the demand amount within a predetermined period at the medical institution, calculated excluding the demand amount from one or more specific patients specified in advance. 2. The method of claim 1 ,
The first inventory amount is the maximum demand amount per day within a specified period at the medical institution or an amount corresponding thereto, calculated excluding the demand amount by the one or more specific patients. 3. The method according to claim 1 or 2,
The calculation of the predicted inventory amount includes subtracting the quantity of demand by a specific patient who is predicted to visit within a first specific period specified in advance from the reference time point, or a quantity corresponding thereto. 4. The method of claim 3,
The first specific period is equal to or greater than 7 days and equal to or less than 10 days. 4. The method of claim 3,
The order quantity is a multiple of the quantity included in an order unit represented by a second code different from the first code. 6. The method of claim 5,
The order quantity is equal to or greater than the difference between a reference inventory quantity that exceeds the first inventory quantity and the predicted inventory quantity. 3. The method according to claim 1 or 2,
determining whether or not the estimated inventory amount for each product at the calculation time point or after the end of business hours for that day, which is represented by the first code, is equal to or less than the first inventory amount at the medical institution;
If the determination result is positive, the method includes a step of proposing to order same-day delivery an order quantity equal to or greater than the difference between the first inventory amount and the estimated inventory amount for that day. 8. The method of claim 7,
The estimated inventory quantity for that day at the time of calculation is the inventory quantity at the time of calculation minus the demand quantity for one or more specific patients who are predicted to visit within a second specific period specified in advance from that day. A program for causing a computer to execute a method for ordering a product in a medical institution, the method comprising:
setting a reference time point;
obtaining a first predicted value of a demand quantity at the medical institution on a daily or date-by-date basis for each commodity represented by a first code up to the reference time point;
obtaining a second forecast value of the inventory quantity for each of the products on a daily or daily basis up to the reference time point;
calculating a predicted inventory amount for each of the products after the close of business at the reference time based on the first predicted value and the second predicted value;
determining, for each product, whether the predicted inventory amount is equal to or less than a first inventory amount determined for each product at the medical institution;
If the determination result is positive, proposing to order an order quantity equal to or greater than the difference between the first inventory amount and the predicted inventory amount;
The first inventory amount is a quantity determined based on the demand amount within a predetermined period at the medical institution, calculated excluding the demand amount from one or more specific patients specified in advance. A device for processing product orders at a medical institution,
Set a reference point,
Obtaining a first predicted value of a demand quantity at the medical institution on a daily or date/time basis for each commodity represented by a first code up to the reference time point;
Obtain a second forecast value of the inventory quantity for each of the products on a daily or daily basis up to the reference time point;
calculating a predicted inventory amount for each of the products after the close of business at the reference time based on the first predicted value and the second predicted value, and determining, for each product, whether or not the predicted inventory amount is equal to or less than a first inventory amount determined for each product at the medical institution;
If the determination result is positive, propose ordering an order quantity equal to or greater than the difference between the first inventory amount and the predicted inventory amount;
The first inventory amount is a quantity determined based on the demand amount within a predetermined period at the medical institution, calculated excluding the demand amount from one or more specific patients specified in advance.

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