Information processing device and information processing method

Abstract

To contribute to meeting the demand for medicines in disaster-stricken areas. [Solution] The device includes a reception unit that receives the designation of an area divided into a predetermined range, an acquisition unit that acquires prescription data including prescription drug information regarding prescription drugs, an analysis unit that performs analysis regarding prescription drugs prescribed in the designated area based on the prescription drug information, and an output unit that outputs the results of the analysis.

Description

[Technical field]

[0001] The present invention relates to an information processing device and an information processing method. [Background technology]

[0002] 2. Description of the Related Art Conventionally, mobile pharmaceutical supply vehicles (mobile pharmacies) equipped with pharmacy functions as disaster countermeasures have been known (see, for example, Non-Patent Document 1). [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] "Mobile Pharmacy (Disaster Preparedness Medicine Supply Vehicle)," Oita Prefecture Pharmaceutical Association, [Retrieved March 21, 2024], Internet <URL:http: / / www.oitakenyaku.or.jp / manage / wp-content / uploads / 2014 / 09 / Mobile-Pharmacy.pdf> Summary of the Invention [Problem to be solved by the invention]

[0004] The mobile pharmacy described above can supply medicines (hereinafter simply referred to as medicines) to disaster-hit areas such as earthquakes. However, it is difficult to predict what kind of medicines and how many will be needed in the disaster-hit areas, and there is a possibility that the demand for medicines in the disaster-hit areas cannot be fully met. For example, although medicines such as antipyretics and antibiotics are prepared, there are cases where the demand for medicines cannot be known without actually going to the disaster-hit areas, such as when there are many elderly people in the disaster-hit areas and medicines for lifestyle-related diseases are in short supply.

[0005] The present invention has been made in consideration of the above circumstances, and its purpose is to provide an information processing device and an information processing method that can contribute to meeting the demand for medicine in disaster-stricken areas. [Means for solving the problem]

[0006] According to one aspect of the present invention, there is provided a prescription drug information receiving section for receiving a designation of an area divided into a predetermined range, and and information that can identify the address of the patient to whom the prescription drug was prescribed. Prescription data including The prescription data is stored in a database. An acquisition unit for acquiring A recording unit that identifies an area in which a patient for whom a prescription drug is prescribed resides based on the prescription data and records the identified area in association with prescription drug information; The above For each area recorded in the recording section Prescription drugs prescribed in the designated area based on prescription drug information Statistics by type and an output unit that outputs a result of the analysis. In one aspect of the present invention, in the information processing device described above, the acquisition unit Each area population The database further includes demographic data including Population data is further acquired, and the analysis unit calculates a unit population statistic value regarding prescription drugs per unit population based on the prescription data, and calculates a population statistic value for the specified area based on the population data and the unit population statistic value. Statistics converted per population of the above-mentioned specified area Prescription drugs prescribed in Statistics by type It is an information processing device that performs analysis regarding. In one aspect of the present invention, in the information processing device, the population data includes a population by age group, and the analysis unit calculates the unit population statistical value for each age group, and calculates prescription drugs prescribed in the specified area by age group. Statistics by type It is an information processing device that performs analysis regarding. In one aspect of the present invention, in the above information processing device, the prescription data is data for an electronic medicine notebook application, the acquisition unit further acquires population data for the specified area, the population data including population data by age group, the acquisition unit further acquires a usage rate of the electronic medicine notebook application by age group, and the analysis unit estimates a usage rate of the electronic medicine notebook application in the specified area based on the population data by age group in the specified area and the usage rate of the electronic medicine notebook application by age group, and calculates prescription drugs prescribed in the specified area based on the estimated usage rate. Statistics by type It is an information processing device that performs analysis regarding. In one aspect of the present invention, in the above information processing device, the prescription data is pharmacy prescription data acquired from a pharmacy, the acquisition unit further acquires information on pharmacies present in the specified area, and the analysis unit analyzes prescription drugs prescribed in the specified area based on a ratio of the number of pharmacies from which pharmacy prescription data can be acquired to the total number of pharmacies in the specified area, or a ratio of the number of prescription drugs handled by pharmacies from which pharmacy prescription data can be acquired to the total number of prescription drugs handled by all pharmacies in the specified area. Statistics by type It is an information processing device that performs analysis regarding. According to one aspect of the present invention, in the information processing device, the analysis unit is Statistics by type It is an information processing device that performs analysis regarding. According to one aspect of the present invention, in the information processing device, the analysis unit is Statistics by type It is an information processing device that performs analysis regarding. One aspect of the present invention is the information processing device described above, wherein the analysis unit performs the analysis by dividing the information into whether or not it is a medicine for a lifestyle-related disease. In one aspect of the present invention, in the above information processing device, the analysis unit performs the analysis by dividing the drug into generic drugs and non-generic drugs. In one aspect of the present invention, in the above information processing device, the analysis unit performs analysis by dividing the prescription into in-hospital and outpatient prescriptions. One aspect of the present invention is an information processing device as described above, further comprising a memory unit that stores prescription implement information that associates prescription drugs with prescription implements required for the prescription drugs, and the analysis unit analyzes the quantity of prescription implements corresponding to the amount of prescription drugs prescribed in the specified area based on the prescription implement information.

[0007] One aspect of the present invention is an information processing method executed by an information processing device, the method including: receiving a designation of an area divided into a predetermined range; and receiving prescription drug information relating to prescription drugs. and information that can identify the address of the patient to whom the prescription drug was prescribed. Prescription data including The prescription data is stored in a database. and an acquisition step of acquiring A recording step of identifying an area in which a patient for whom a prescription drug is prescribed resides based on the prescription data, and recording the identified area in association with prescription drug information; The above For each area recorded in the recording step Prescription drugs prescribed in the designated area based on prescription drug information Statistics by type and an output step of outputting a result of the analysis. Effect of the Invention

[0008] According to the present invention, it is possible to obtain an effect of contributing to meeting the demand for medicines in disaster-stricken areas. [Brief description of the drawings]

[0009] [Figure 1] 1 is a block diagram showing an example of a configuration of an information providing system according to an embodiment; [Diagram 2] 1 is a block diagram showing an example of a configuration of an information processing device according to an embodiment; [Diagram 3] 1 is a flowchart illustrating an example of a procedure of an information processing method according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing an example of the configuration of an information providing system according to an embodiment. In FIG. 1, an information processing device 1 transmits and receives data to and from an analysis requester terminal 2 via a communication line. The analysis requester terminal 2 is a terminal used by the analysis requester. The analysis requester specifies an analysis area to be analyzed, etc., to the information processing device 1 using the analysis requester terminal 2. The information processing device 1 provides the analysis result based on the specification of the analysis area, etc., received from the analysis requester terminal 2 to the analysis requester terminal 2. The analysis area is, for example, an area to be analyzed among areas obtained by dividing the land area of ​​Japan into a predetermined range. The analysis area may be, for example, a prefecture unit, a city / town / village unit, or other units such as a division into a mesh pattern.

[0011] The information processing device 1 transmits and receives data via a communication line to and from a database 3. The database 3 stores information such as prescription data, area data, and electronic medicine notebook application usage information.

[0012] The prescription data is data including prescription drug information related to prescription drugs. The prescription data includes, for example, information such as the type and quantity of the prescribed drug, patient information, and pharmacy information. The prescription data is, for example, acquired from a pharmacy and stored in the database 3. The prescription data is, for example, acquired from an electronic medicine notebook application and stored in the database 3.

[0013] The area data includes information indicating area division, pharmacy data for each area, population data for each area, etc. The electronic medicine notebook application usage information is information indicating the usage status of the electronic medicine notebook application in each area.

[0014] 2 is a block diagram showing an example of the configuration of the information processing device 1 according to this embodiment. In FIG.

[0015] The communication unit 11 communicates with devices external to the information processing device 1. The communication unit 11 transmits and receives data to and from the analysis requester terminal 2 via a communication line. The communication unit 11 transmits and receives data to and from the database 3 via the communication line.

[0016] The storage unit 12 stores various data such as programs executed by the control unit 13 and data used by the control unit 13. The storage unit 12 is configured from a hard disk device, a magneto-optical disk device, a non-volatile memory such as a flash memory, a read-only recording medium such as a CD-ROM, a volatile memory such as a dynamic random access memory (DRAM), or a combination of these.

[0017] The control unit 13 includes a CPU (Central Processing Unit) and realizes various functions by executing programs stored in the storage unit 12. The control unit 13 according to this embodiment executes the prescription analysis program 121 stored in the storage unit 12, thereby realizing the functions of a reception unit 131, an acquisition unit 132, an analysis unit 133, an output unit 134, and a recording unit 135.

[0018] The information processing device 1 may be configured using a general-purpose computer device, or may be configured as a dedicated hardware device. For example, the information processing device 1 may be configured using a server computer connected to a communication network such as the Internet. Furthermore, each function of the information processing device 1 may be realized by cloud computing. Furthermore, the information processing device 1 may be realized by a single computer, or may be realized by distributing the functions of the information processing device 1 among multiple computers. Furthermore, the information processing device 1 may be configured to open a website using, for example, a WWW system or the like.

[0019] The storage unit 12 stores prescription implement information 122. The prescription implement information 122 is information that associates a prescription drug with a prescription implement required for the prescription drug. For example, the prescription implement information 122 associates insulin with an insulin syringe and includes information indicating how many insulin syringes are required for how much insulin.

[0020] The reception unit 131 receives analysis request information from the analysis requester terminal 2 via the communication unit 11. The analysis request information is information that specifies an analysis area to be analyzed, etc. The reception unit 131 receives the analysis request information from the analysis requester terminal 2, thereby accepting the specification of the analysis area, etc.

[0021] The acquisition unit 132 accesses the database 3 via the communication unit 11 and acquires prescription data from the database 3. The analysis unit 133 performs an analysis on the prescription drug prescribed in the specified analysis area accepted by the acceptance unit 131, based on the prescription drug information. The output unit 134 outputs the result of the analysis by the analysis unit 133 (analysis result data). The analysis result data output from the output unit 134 is transmitted to the analysis requester terminal 2 by the communication unit 11.

[0022] The recording unit 135 identifies the area in which the patient for whom the prescription drug is prescribed lives, based on the prescription data, and records the identified area in association with the prescription drug information in the storage unit 12. The prescription data includes information that can identify the address of the patient.

[0023] Next, an information processing method according to this embodiment will be described with reference to Fig. 3. Fig. 3 is a flowchart showing an example of the procedure of the information processing method according to this embodiment.

[0024] (Step S1) The information processing device 1 receives analysis request information from the analysis requester terminal 2, and accepts designation of an analysis area and the like indicated in the analysis request information.

[0025] (Step S2) The information processing device 1 acquires prescription data from the database 3.

[0026] (Step S3) The information processing device 1 performs an analysis on the prescription drug prescribed in the specified analysis area accepted by the acceptance unit 131, based on the prescription drug information.

[0027] (Step S4) The information processing device 1 outputs the analysis result data.

[0028] Next, the method for analyzing prescription drugs according to this embodiment will be described below by way of an example.

[0029] (Example 1 of analytical method for prescription drugs) The analysis unit 133 calculates statistical values ​​related to prescription drugs. The statistical values ​​are, for example, total values ​​of the quantity of each type of prescription drug, total values ​​of insurance points for each type of prescription drug, total values ​​of the amount of each type of prescription drug, etc. Furthermore, the analysis unit 133 may create ranking data for each type of prescription drug based on these total values.

[0030] (Example 2 of analytical method for prescription drugs) The prescription data includes information that can identify the patient's address. The prescription data includes, for example, the patient's address itself. The prescription data includes, for example, the patient's health insurance card number. The patient's address can be identified from the health insurance card number.

[0031] The recording unit 135 identifies the area in which the patient for whom the prescription drug is prescribed lives, based on the prescription data, and records the identified area in association with the prescription drug information in the memory unit 12. The analysis unit 133 performs an analysis of the prescription drug prescribed for each area, based on the prescription drug information for each area recorded in the memory unit 12.

[0032] (Example 3 of analytical method for prescription drugs) The prescription data includes information capable of identifying the address of the patient, similar to the example 2 of the analysis method related to prescription drugs. The acquisition unit 132 accesses the database 3 via the communication unit 11, and acquires the population data from the database 3. In the database 3, the population data of each area is included in the area data.

[0033] The analysis unit 133 calculates unit population statistical values ​​for prescription drugs per unit population based on the prescription data. The analysis unit 133 performs an analysis on prescription drugs prescribed in the specified analysis area accepted by the acceptance unit 131 based on the population data and the unit population statistical values. For example, the analysis unit 133 calculates statistical values ​​for prescription drugs prescribed in the specified analysis area converted into per population of the specified analysis area. The statistical values ​​are the same as those in Example 1 of the analysis method for prescription drugs.

[0034] (Example 4 of analytical method for prescription drugs) Example 4 of the analytical method for prescription drugs is a variation of Example 3 of the analytical method for prescription drugs. The prescription data includes information that can identify the patient's age. The prescription data includes, for example, the patient's age itself. The prescription data includes, for example, the patient's health insurance card number. The patient's age can be identified from the health insurance card number. The population data includes population data for each age group. The analysis unit 133 calculates unit demographic values ​​for each age group, and performs an analysis of prescription drugs prescribed in a specified area for each age group. This makes it possible to analyze areas with a large number of people of a particular age group, such as areas with a large elderly population.

[0035] (Example 5 of analytical method for prescription drugs) The prescription data is data from an electronic medicine record application. The acquisition unit 132 accesses the database 3 via the communication unit 11, and acquires from the database 3 the population data for the specified analysis area accepted by the acceptance unit 131. The population data includes population data for each age group. The acquisition unit 132 accesses the database 3 via the communication unit 11, and acquires the electronic medicine notebook application usage information from the database 3. The electronic medicine notebook application usage information includes the usage rate of the electronic medicine notebook application by age group.

[0036] The analysis unit 133 estimates the usage rate of the electronic medicine notebook application in the specified analysis area based on the population data by age group in the specified analysis area and the usage rate of the electronic medicine notebook application by age group. The analysis unit 133 performs an analysis of prescription drugs prescribed in the specified analysis area based on the estimated value of the usage rate of the electronic medicine notebook application in the specified analysis area. This makes it possible to suppress a decrease in analysis accuracy due to an insufficient number of prescription data.

[0037] (Example 6 of analytical method for prescription drugs) The prescription data is pharmacy prescription data obtained from the pharmacy. The acquisition unit 132 accesses the database 3 via the communication unit 11 and acquires the pharmacy data from the database 3. In the database 3, the pharmacy data for each area is included in the area data. The pharmacy data has information on pharmacies located within the area.

[0038] The analysis unit 133 performs an analysis of prescription drugs prescribed in a specified area based on the ratio of the number of pharmacies from which prescription data of a pharmacy can be obtained to the total number of pharmacies in the specified analysis area received by the reception unit 131. Alternatively, the analysis unit 133 may perform an analysis of prescription drugs prescribed in a specified area based on the ratio of the number of prescription drugs handled by pharmacies from which prescription data of a pharmacy can be obtained to the total number of prescription drugs handled by all pharmacies in the specified analysis area received by the reception unit 131. This makes it possible to suppress a decrease in the accuracy of analysis due to an insufficient number of prescription data.

[0039] (Example 7 of analytical method for prescription drugs) The analysis unit 133 performs an analysis of each prescription drug for each predetermined period. For example, the analysis unit 133 calculates statistical values ​​for prescription drugs for the most recent month. For example, the analysis unit 133 calculates statistical values ​​for prescription drugs for each month, every three months, every six months, or every year. This makes it possible to analyze prescription drugs for a certain period. For example, it is possible to grasp trends due to seasonal factors, such as an increase in demand for drugs for treating hypertension in winter.

[0040] (Example 8 of analytical method for prescription drugs) The analysis unit 133 performs an analysis by dividing the drug into a specific type or not. For example, the analysis unit 133 performs an analysis by dividing the drug into a drug for a lifestyle-related disease or not. For example, the analysis unit 133 performs an analysis by dividing the drug into a generic drug or not.

[0041] (Example 9 of analytical method for prescription drugs) The analysis unit 133 performs the analysis by dividing the prescriptions into in-hospital and out-of-hospital prescriptions. This makes it possible to use the analysis results limited to out-of-hospital prescriptions when grasping the demand for medicines in disaster areas.

[0042] (Example 10 of analytical method for prescription drugs) The analysis unit 133 analyzes the quantity of prescription instruments corresponding to the amount of prescription drug prescribed in the designated analysis area received by the reception unit 131 based on the prescription instrument information 122. For example, the prescription instrument information 122 associates insulin with insulin syringes and includes information indicating how many insulin syringes are required for how much insulin. The analysis unit 133 calculates the number of insulin syringes required for the amount of insulin prescribed in the designated analysis area based on the prescription instrument information 122. This makes it possible to grasp the number of insulin syringes required together with the amount of insulin required in the designated analysis area.

[0043] The above is an explanation of the example of the analytical method for prescription drugs. The above-mentioned examples of the analytical method for prescription drugs may be appropriately combined.

[0044] The output unit 134 outputs the analysis result data. For example, the analysis result (e.g., statistical values, etc.) for each area may be output in list format. For example, the analysis result (e.g., statistical values, etc.) for each area may be displayed on a map displayed on the screen. For example, the demand for each type of prescription drug in the analysis area may be output in ranking format.

[0045] In addition to prescription drugs, over-the-counter drugs may also be included in the analysis. Some patients purchase and take over-the-counter drugs without consulting a doctor when their symptoms are relatively mild or they are reluctant to go to the hospital. For this reason, over-the-counter drug purchase data including the type and quantity of over-the-counter drugs purchased may be acquired from sales data of stores such as drugstores and purchase records such as electronic payments made by patients, and the information processing device 1 may also analyze the over-the-counter drug purchase data. By including the over-the-counter drug purchase data, it is possible to analyze the demand for drugs in general, including prescription drugs and over-the-counter drugs. It is also possible to analyze the demand for drugs from potential patients who may need prescription drugs in the future.

[0046] As described above, according to the present embodiment, the demand for medicines in an analysis area such as a disaster area can be understood by the analysis result data. This has the effect of contributing to meeting the demand for medicines in the disaster area.

[0047] This will, for example, make it possible to improve the overall service quality in pharmaceutical supply systems, thereby contributing to Goal 9 of the United Nations-led Sustainable Development Goals (SDGs), which is to "build resilient infrastructure, promote sustainable industrialization and foster innovation."

[0048] Although an embodiment of the present invention has been described in detail above with reference to the drawings, the specific configuration is not limited to this embodiment, and design changes and the like that do not deviate from the gist of the present invention are also included.

[0049] Also, a computer program for implementing the functions of each of the above-mentioned devices may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read into a computer system and executed. Note that the "computer system" referred to here may include hardware such as an OS and peripheral devices. Furthermore, in the case of using a WWW system, the "computer system" also includes the homepage providing environment (or display environment). In addition, the term "computer-readable recording medium" refers to writable non-volatile memory such as a flexible disk, an optical magnetic disk, a ROM, or a flash memory, a portable medium such as a DVD (Digital Versatile Disc), or a storage device such as a hard disk built into a computer system.

[0050] Furthermore, the term "computer-readable recording medium" includes devices that retain a program for a certain period of time, such as volatile memory (e.g., DRAM (Dynamic Random Access Memory)) within a computer system that serves as a server or client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. The program may be transmitted from a computer system in which the program is stored in a storage device or the like to another computer system via a transmission medium, or by a transmission wave in the transmission medium. Here, the "transmission medium" that transmits the program refers to a medium that has a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may be for implementing some of the functions described above, or may be a so-called differential file (differential program) that can implement the functions described above in combination with a program already recorded in the computer system. [Explanation of symbols]

[0051] 1...information processing device, 2...analysis requester terminal, 3...database, 11...communication unit, 12...storage unit, 13...control unit, 131...reception unit, 132...acquisition unit, 133...analysis unit, 134...output unit, 135...recording unit

Claims

1. A reception unit that receives a designation of an area divided into a predetermined range; An acquisition unit that acquires prescription data from a database in which prescription data including prescription drug information related to a prescription drug and information for identifying an address of a patient to whom the prescription drug is prescribed is recorded; A recording unit that identifies an area in which a patient for whom a prescription drug is prescribed resides based on the prescription data and records the identified area in association with prescription drug information; an analysis unit that performs analysis on statistics for each type of prescription drug prescribed in the specified area based on the prescription drug information for each area recorded in the recording unit; an output unit for outputting a result of the analysis; An information processing device comprising:

2. The acquisition unit further acquires the population data from the database in which population data including a population of each area is further recorded, The analysis unit calculates a unit population statistical value regarding prescription drugs per unit population based on the prescription data, and performs an analysis regarding statistical values ​​for each type of prescription drug prescribed in the specified area, which are converted into a statistical value per population of the specified area based on the population data and the unit population statistical value. The information processing device according to claim 1 .

3. The population data includes population by age group, The analysis unit calculates the unit demographic statistics for each age group, and performs an analysis on the statistics for each type of prescription drug prescribed in the specified area for each age group. The information processing device according to claim 2 .

4. The prescription data is data of an electronic medicine notebook application, The acquisition unit further acquires population data in the specified area, The population data includes population data by age group, The acquisition unit further acquires a usage rate of the electronic medicine notebook application by age group, The analysis unit estimates a usage rate of the electronic medicine notebook application in the specified area based on population data by age group in the specified area and a usage rate by age group of the electronic medicine notebook application, and performs an analysis of statistics for each type of prescription drug prescribed in the specified area based on the estimated usage rate. The information processing device according to claim 1 .

5. the prescription data is pharmacy prescription data obtained from a pharmacy; The acquisition unit further acquires information on pharmacies located in the specified area, The analysis unit performs an analysis of statistics for each type of prescription drug prescribed in the specified area based on a ratio of the number of pharmacies from which prescription data of the pharmacies can be obtained to the total number of pharmacies in the specified area, or a ratio of the number of prescription drugs handled by pharmacies from which prescription data of the pharmacies can be obtained to the total number of prescription drugs handled by all pharmacies in the specified area. The information processing device according to claim 1 .

6. The analysis unit performs an analysis of statistics for each type of prescription drug for each predetermined period. The information processing device according to claim 1 .

7. The analysis unit performs an analysis of statistics for each type of prescription drug on a monthly basis. The information processing device according to claim 6.

8. The analysis unit performs an analysis by dividing the drug into a drug for a lifestyle-related disease and a drug for a lifestyle-related disease. The information processing device according to claim 1 .

9. The analysis unit performs an analysis based on whether the drug is a generic drug or not. The information processing device according to claim 1 .

10. The analysis unit performs analysis by dividing the prescription into in-hospital prescription and out-of-hospital prescription, The information processing device according to claim 1 .

11. A storage unit is further provided for storing prescription implement information that associates a prescription drug with a prescription implement required for the prescription drug, The analysis unit analyzes the quantity of prescription devices corresponding to the amount of the prescription drug prescribed in the specified area based on the prescription device information. The information processing device according to claim 1 .

12. An information processing method executed by an information processing device, A reception step of receiving a designation of an area divided into a predetermined range; An acquisition step of acquiring the prescription data from a database in which prescription data including prescription drug information regarding a prescribed drug and information capable of identifying an address of a patient to whom the prescription drug is prescribed is recorded; a recording step of identifying an area in which the patient for whom the prescription drug is prescribed resides based on the prescription data, and recording the identified area in association with prescription drug information; an analysis step of performing an analysis of statistics for each type of prescription drug prescribed in the specified area based on the prescription drug information for each area recorded in the recording step; an output step of outputting the results of the analysis; An information processing method comprising:

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