Information processing device and information processing method
The information processing device analyzes prescription data to address uncertainties in disaster medicine demand, ensuring accurate medicine supply by identifying patient demographics and pharmacy distribution, thereby enhancing disaster response capabilities.
Patent Information
- Application Number
- JP2024054804
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-03-28
- Publication Date
- 2025-10-10
- Estimated Expiration
- 2044-03-28
AI Technical Summary
Existing mobile pharmacies face challenges in predicting and meeting the demand for medicines in disaster-stricken areas, particularly due to uncertainties in the types and quantities required, especially for elderly populations with lifestyle-related diseases.
An information processing device and method that analyzes prescription data to identify patient addresses, calculate demographic values, and estimate medicine demand based on electronic medicine notebook application usage, enabling precise analysis of prescription drug needs by area, age group, and pharmacy distribution.
Enhances the ability to meet medicine demand in disaster areas by providing accurate analysis of prescription drug requirements, improving pharmaceutical supply systems and contributing to sustainable development goals.
Smart Images

Figure 2025152749000001_ABST
Abstract
Description
[Technical Field]
[0001] The present invention relates to an information processing device and an information processing method. [Background technology]
[0002] BACKGROUND ART Conventionally, a mobile disaster response medicine supply vehicle (mobile pharmacy) equipped with a pharmacy function has 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, Public Interest Incorporated 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 pharmaceuticals (hereinafter simply referred to as medicines) to disaster-stricken areas such as earthquakes. However, it is difficult to predict what kind of medicines and in what quantities will be needed in the disaster-stricken areas, and there is a possibility that the demand for medicines in the disaster-stricken areas cannot be fully met. For example, even if medicines such as antipyretics and antibiotics are prepared, there may be a shortage of medicines for lifestyle-related diseases in the disaster-stricken areas due to the large number of elderly people, and it may be difficult to know the demand for medicines without actually going to the disaster-stricken areas.
[0005] The present invention has been made in consideration of these 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] One aspect of the present invention is an information processing device that 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 an 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. One aspect of the present invention is an information processing device as described above, wherein the prescription data includes information that can identify the patient's address, and the information processing device further includes a recording unit that identifies the area in which the patient to whom the prescription drug is prescribed resides based on the prescription data and records the identified area in association with prescription drug information, and the analysis unit performs an analysis of the prescription drugs prescribed for each area based on the prescription drug information for each area recorded in the recording unit. One aspect of the present invention is the above-mentioned information processing device, wherein the prescription data includes information that can identify the patient's address, the acquisition unit further acquires population data, and the analysis unit calculates a unit demographic value regarding prescription drugs per unit population based on the prescription data, and performs an analysis regarding prescription drugs prescribed in the specified area based on the population data and the unit demographic value. One aspect of the present invention is an information processing device as described above, wherein the prescription data includes information that can identify the patient's age group, the population data includes population data by age group, and the analysis unit calculates the unit demographic value for each age group and performs analysis on prescription drugs prescribed in the specified area for each age group. One aspect of the present invention is an information processing device as described above, wherein 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 the usage rate of the electronic medicine notebook application by age group, and the analysis unit estimates the 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 performs analysis of prescription drugs prescribed in the specified area based on the estimated usage rate. One aspect of the present invention is an information processing device as described above, wherein the prescription data is pharmacy prescription data acquired from a pharmacy, the acquisition unit further acquires information on pharmacies located in the specified area, and the analysis unit performs analysis on prescription drugs prescribed in the specified area based on the 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 the 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. In one aspect of the present invention, in the information processing device described above, the analysis unit performs an analysis of each prescription drug every predetermined period. In one aspect of the present invention, in the information processing device described above, the analysis unit performs an analysis of each prescription drug on a monthly basis. In one aspect of the present invention, in the information processing device described above, the analysis unit performs the analysis by dividing the information into whether or not it is a drug for a lifestyle-related disease. In one aspect of the present invention, in the information processing device described above, the analysis unit performs analysis by distinguishing between generic drugs and non-generic drugs. In one aspect of the present invention, in the information processing device described above, the analysis unit performs analysis by dividing the prescription into in-hospital prescriptions 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, which includes a reception step of receiving a designation of an area divided into a predetermined range, an acquisition step of acquiring prescription data including prescription drug information regarding prescription drugs, an analysis step of performing an analysis regarding prescription drugs prescribed in the designated area based on the prescription drug information, and an output step of outputting the results of the analysis. [Effects of the Invention]
[0008] According to the present invention, it is possible to obtain an effect of contributing to meeting the demand for medicine in disaster-stricken areas. [Brief explanation of the drawings]
[0009] [Figure 1] 1 is a block diagram illustrating an example of the configuration of an information providing system according to an embodiment. [Figure 2] 1 is a block diagram illustrating an example of the configuration of an information processing device according to an embodiment. [Figure 3] 1 is a flowchart illustrating an example of a procedure of an information processing method according to an embodiment. DETAILED DESCRIPTION OF THE INVENTION
[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 one 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, etc. to be analyzed, to the information processing device 1 using the analysis requester terminal 2. The information processing device 1 provides the analysis requester terminal 2 with analysis results based on the specification of the analysis area, etc. received from the analysis requester terminal 2. The analysis area is, for example, an area to be analyzed among areas obtained by dividing Japan's land area into predetermined ranges. The analysis area may be, for example, a prefecture unit, a city / town / village unit, or other units, such as a grid-like division.
[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 obtained, for example, from a pharmacy and stored in the database 3. The prescription data is obtained, for example, 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. 1, the information processing device 1 includes a communication unit 11, a storage unit 12, and a control unit 13.
[0015] The communication unit 11 communicates with devices external to the information processing device 1. The communication unit 11 sends and receives data to and from the analysis requester terminal 2 via a communication line. The communication unit 11 sends and receives data to and from the database 3 via a 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 by a non-volatile memory such as a hard disk device, a magneto-optical disk device, or a flash memory, a read-only recording medium such as a CD-ROM, a volatile memory such as a DRAM (Dynamic Random Access Memory), 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.
[0019] The storage unit 12 stores prescription implement information 122. The prescription implement information 122 is information that associates prescription drugs with prescription implements required for the prescription drugs. For example, the prescription implement information 122 associates insulin with insulin syringes and includes information indicating how many insulin syringes are required for each amount of 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 the 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 results 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 via the communication unit 11.
[0022] The recording unit 135 identifies the area where the patient who has been prescribed the prescription drug resides 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 patient's address.
[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 the designation of the 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 received by the receiving unit 131, based on the prescription drug information.
[0027] (Step S4) The information processing device 1 outputs the analysis result data.
[0028] Next, the analytical method for prescription drugs according to this embodiment will be described below by taking 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 include, for example, a total value of the quantity for each type of prescription drug, a total value of the insurance points for each type of prescription drug, a total value of the amount for 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 where the patient who has been prescribed the prescription drug resides 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 analyzes the prescription drugs 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 that can identify the patient's address, similar to 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 for 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 analysis on prescription drugs prescribed in the specified analysis area accepted by the acceptance unit 131 based on the population data and 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 analysis method for prescription drugs is a variation of Example 3 of the analysis 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 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 specific 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 notebook application. The acquisition unit 132 accesses the database 3 via the communication unit 11 and acquires, from the database 3, 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 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 analyzes prescription drugs prescribed in the specified analysis area based on the estimated usage rate of the electronic medicine notebook application in the specified analysis area.This makes it possible to prevent a decrease in analysis accuracy due to an insufficient amount of prescription data.
[0037] (Example 6 of analytical method for prescription drugs) The prescription data is pharmacy prescription data acquired 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 includes information on pharmacies located within the area.
[0038] The analysis unit 133 performs an analysis of prescription drugs prescribed in a designated area based on the ratio of the number of pharmacies from which pharmacy prescription data can be obtained to the total number of pharmacies in the designated analysis area received by the reception unit 131. Alternatively, the analysis unit 133 may perform an analysis of prescription drugs prescribed in a designated area based on the ratio of the number of prescription drugs handled by pharmacies from which pharmacy prescription data can be obtained to the total number of prescription drugs handled by all pharmacies in the designated analysis area received by the reception unit 131. This makes it possible to prevent a decrease in analysis accuracy due to an insufficient amount 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 every 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 understand 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-stricken areas.
[0042] (Example 10 of analytical methods for prescription drugs) Based on the prescription implement information 122, the analysis unit 133 analyzes the quantity of prescription implements corresponding to the amount of prescription drug prescribed in the designated analysis area received by the reception unit 131. For example, the prescription implement information 122 associates insulin with insulin syringes and includes information indicating how many insulin syringes are required for what amount of insulin. Based on the prescription implement information 122, the analysis unit 133 calculates the number of insulin syringes required for the amount of insulin prescribed in the designated analysis area. This makes it possible to determine the number of insulin syringes required as well as the amount of insulin required in the designated analysis area.
[0043] The above is an explanation of an example of an analytical method for prescription drugs. The above-mentioned examples of analytical methods for prescription drugs may be combined as appropriate.
[0044] The output unit 134 outputs the analysis result data. For example, the analysis results (e.g., statistical values, etc.) for each area may be output in list format. For example, the analysis results (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] Note that the analysis may also include over-the-counter drugs in addition to prescription drugs. Some patients purchase and take over-the-counter drugs without consulting a doctor, for example, 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 types and quantities 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 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 drug demand of potential patients who may need prescription drugs in the future.
[0046] As described above, according to this embodiment, the demand for medicines in an analysis area such as a disaster area can be grasped from the analysis result data, thereby achieving the effect of contributing to meeting the demand for medicines in the disaster area.
[0047] This will enable, for example, improvements to the overall service quality of 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 are also included within the scope that does not deviate from the gist of the present invention.
[0049] Furthermore, a computer program for implementing the functions of each of the above-described devices may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be loaded into a computer system and executed. Note that the term "computer system" here may also include hardware such as an OS and peripheral devices. Furthermore, if a WWW system is used, the term "computer system" also includes the homepage provision environment (or display environment). In addition, "computer-readable recording medium" refers to writable non-volatile memory such as a flexible disk, optical magnetic disk, ROM, or flash memory, portable media 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" also includes those 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 storing the program in a storage device or the like to another computer system via a transmission medium or by transmission waves in the transmission medium. Here, the "transmission medium" that transmits the program refers to a medium that has the 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 also be a program 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 stored 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 including prescription drug information regarding prescription drugs; an analysis unit that performs an analysis on prescription drugs prescribed in the specified area based on the prescription drug information; an output unit that outputs the results of the analysis; An information processing device comprising:
2. The prescription data includes information that can identify the patient's address; The system further includes a recording unit that identifies an area where a patient who has been prescribed a prescription drug resides based on the prescription data and records the identified area in association with prescription drug information, the analysis unit performs an analysis of prescription drugs prescribed for each area based on the prescription drug information for each area recorded in the recording unit; The information processing device according to claim 1 .
3. The prescription data includes information that can identify the patient's address; The acquisition unit further acquires population data, the analysis unit calculates a unit demographic value related to prescription drugs per unit population based on the prescription data, and performs an analysis on prescription drugs prescribed in the specified area based on the population data and the unit demographic value; The information processing device according to claim 1 .
4. The prescription data includes information that can identify the age of the patient, The population data includes population data by age group, the analysis unit calculates the unit demographic value for each age group and performs an analysis on prescription drugs prescribed in the specified area for each age group; The information processing device according to claim 3 .
5. The prescription data is data of an electronic medicine notebook application, The acquisition unit further acquires population data for 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 the usage rate of the electronic medicine notebook application in the specified area based on population data by age group in the specified area and the usage rate of the electronic medicine notebook application by age group, and performs an analysis on prescription drugs prescribed in the specified area based on the estimated usage rate. The information processing device according to claim 1 .
6. the prescription data is pharmacy prescription data obtained from a pharmacy; The acquisition unit further acquires information about pharmacies located in the specified area, The analysis unit performs an analysis of prescription drugs prescribed in the specified area based on the ratio of the number of pharmacies from which prescription data can be obtained to the total number of pharmacies in the specified area, or the ratio of the number of prescription drugs handled by pharmacies from which prescription data 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 .
7. The analysis unit performs an analysis on each prescription drug at predetermined intervals. The information processing device according to claim 1 .
8. The analysis unit performs an analysis of each prescription drug on a monthly basis. The information processing device according to claim 7 .
9. The analysis unit performs an analysis by dividing the drug into those for lifestyle-related diseases and those for lifestyle-related diseases. The information processing device according to claim 1 .
10. The analysis unit performs analysis by distinguishing between generic drugs and non-generic drugs. The information processing device according to claim 1 .
11. The analysis unit performs analysis by dividing the prescription into in-hospital prescription and out-hospital prescription. The information processing device according to claim 1 .
12. Further, a storage unit is provided for storing prescription implement information that associates prescription drugs with prescription implements required for the prescription drugs, the analysis unit analyzes the quantity of prescription devices corresponding to the amount of prescription drugs prescribed in the specified area based on the prescription device information; The information processing device according to claim 1 .
13. An information processing method executed by an information processing device, a receiving step of receiving a designation of an area divided into a predetermined range; acquiring prescription data including prescription drug information relating to prescription drugs; an analysis step of performing an analysis on prescription drugs prescribed in the specified area based on the prescription drug information; an output step of outputting the results of the analysis; An information processing method including:
Citation Information
Patent Citations
Medicine management device, medicine management method and medicine management program
JP2020197810A