Questionnaire system

Abstract

To provide a questionnaire system, method and program capable of creating a function for performing a questionnaire to a patient at a stage of a medication instruction, and a report on the basis of further questionnaires.SOLUTION: A questionnaire system 300 includes a medical related question content related information holding part 304 for associating medical related question content identification information for identifying medical related question contents with medical identification information to hold them, a medical related question content existence / nonexistence determination part 306 for determining whether medical identification information meeting acquired key medical identification information is associated with the medical related question contents, and a first class medical related question content output part 309 for acquiring and outputting medical related question contents associated with medical identification question content identification information in the case that the medical identification information is associated with the medical related question contents.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to a questionnaire system, for example, a questionnaire system that determines whether medical identification information that matches acquired key medical identification information is associated with first-class medical-related question content identification information, and, if the determination result indicates association, acquires and outputs first-class medical-related question content identified by the associated first-class medical-related question content identification information. [Background technology]

[0002] In recent years, a number of systems and services have been developed and implemented that can assist in diagnosing patients' illnesses and determining treatment plans by providing and utilizing appropriate information to medical professionals such as doctors and pharmacists based on various health and medical information about patients, as well as systems and services that can improve patients' medication adherence.

[0003] For example, one proposed invention is described in Patent Document 1. This invention provides a medication-related information output device that outputs medication-related information based on a predetermined protocol in accordance with the situation of each patient (for example, the situation related to medication), thereby enabling appropriate and detailed medication instructions to be given in accordance with the individual situation of the patient, regardless of the capabilities of the pharmacist (experience, drug knowledge, interpersonal skills, etc.). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 5832048 Summary of the Invention [Problem to be solved by the invention]

[0005] However, there was a problem that the invention described in Patent Document 1 alone could not fully meet the latest needs currently being demanded in the medical industry, such as the function of conducting a questionnaire for patients at the stage of medication instruction, the function of creating a report based on a further questionnaire, etc. Therefore, a new invention that can fully meet the above-mentioned latest needs was needed, and the medical industry had been hoping for such a new invention. [Means for solving the problem]

[0006] In consideration of the above-mentioned problems, the present invention aims to provide a questionnaire system that associates and stores medical-related question content identification information that identifies medical-related question content with medical identification information, determines whether medical identification information that matches the acquired key medical identification information is associated with the medical-related question content, and, if associated, acquires and outputs the medical-related question content associated with the medical identification question content identification information.

[0007] Specifically, the present invention provides a first medical-related question content identification information storage unit that stores first medical-related question content identification information, which is information for uniquely identifying one or more first medical-related question contents, a first medical-related question content storage unit that stores the first medical-related question content identification information and the first medical-related question contents in association with each other, a medical identification information storage unit that stores medical identification information, a medical-related question content related information storage unit that stores the medical identification information and the first medical-related question content identification information in association with each other, a key medical identification information acquisition unit that acquires key medical identification information, which is medical identification information used as a search key, and a search unit that searches the acquired key medical identification information. The questionnaire system includes a medical-related question content presence / absence determination unit that determines whether the medical identification information that matches other information is associated with first-class medical-related question content identification information, a first-class medical-related question content identification information acquisition unit that acquires the associated first-class medical-related question content identification information when the medical-related question content presence / absence determination unit determines that the medical identification information is associated, a first-class medical-related question content acquisition unit that acquires first-class medical-related question content associated with the acquired first-class medical-related question content identification information, and a first-class medical-related question content output unit that outputs the acquired first-class medical-related question content.

[0008] In addition to the above features, the present invention provides a questionnaire system further having a type 1 answer acquisition unit that acquires type 1 answers, which are answers corresponding to the output type 1 medical-related question content, a type 1 answer storage unit that stores the acquired type 1 answers, a type 1 answer analysis unit that analyzes the stored type 1 answers, and a type 1 analysis result storage unit that stores the type 1 analysis results, which are the analysis results of the type 1 answer analysis unit.

[0009] In addition to the above-mentioned features, the present invention also provides a first type predetermined analysis result identification information storage unit that stores first type predetermined analysis result identification information that identifies a first type predetermined analysis result that is a predetermined analysis result among the first type analysis results stored in the first type analysis result storage unit; a second type medical-related question content identification information storage unit that stores second type medical-related question content identification information that identifies second type medical-related question content that is medical-related question content different from the first type medical-related question content identified by the first type medical-related question content identification information in association with the first type predetermined analysis result identification information; a second type medical-related question content storage unit that stores second type medical-related question content identified by the second type medical-related question content identification information; The questionnaire system further includes an analysis result determination unit that determines whether the analysis result held in the holding unit is a first-type predetermined analysis result identified by first-type predetermined analysis result identification information, a second-type medical-related question content identification information acquisition unit that acquires second-type medical-related question content identification information associated with the first-type predetermined analysis result identification information when the determination result by the analysis result determination unit is a first-type predetermined analysis result identified by the first-type predetermined analysis result identification information, a second-type medical-related question content acquisition unit that acquires second-type medical-related question content identified by the acquired second-type medical-related question content identification information, and a second-type medical-related question content output unit that outputs the acquired second-type medical-related question content.

[0010] In addition to the above features, the present invention provides a questionnaire system further having a type 2 answer acquisition unit that acquires type 2 answers, which are answers corresponding to the output type 2 medical-related question content, a type 2 answer storage unit that stores the acquired type 2 answers, a type 2 answer analysis unit that analyzes the stored type 2 answers, and a type 2 analysis result storage unit that stores the type 2 analysis results, which are the analysis results of the type 2 answer analysis unit.

[0011] In addition to the above features, the present invention provides a questionnaire system further having a medical information storage unit that stores medical information identified by medical identification information, a report creation rule storage unit that stores report creation rules that are rules for creating a report on medical information identified by key medical identification information that is the search key from which the first type answer and the second type answer originated, based on these answers, and a report creation unit that creates a report based on the first type answer, the subsequent second type answer, and the stored report creation rules.

[0012] In addition to the above-mentioned features, the present invention also provides a questionnaire system in which the report creation rules are rules for respondents to create a report to apply for a recruitment linked to specified medical-related information.

[0013] In addition to the above-mentioned features, the present invention also provides a questionnaire system in which the medical identification information includes at least one of drug identification information which is information for identifying a drug or a group of drugs, personal behavior attribute identification information which is information for identifying attributes related to personal behavior including one or more of the individual's age, sex, insurance information, medical history, allergy history, medication history, family history, health checkup results and / or medical examination results, vital signs, genetic information, whether or not the individual smokes and / or drinks alcohol, exercise habits, eating habits, sleep patterns, stress level, mental health status, psychological challenges or problems, occupation, work environment, family composition, and whether or not there is social support, injury or illness name identification information which is information for identifying the name of the injury or illness, treatment identification information which is information for identifying treatment used in a prescription computer processing system, and test result identification information which is information for identifying the results of a physical examination.

[0014] In addition to the above features, the present invention also provides a questionnaire system in which the drug identification information includes at least one of the following information: a drug code listed in the drug price list (Ministry of Health, Labour and Welfare code), an individual drug code (YJ code), and a JAN code (standard type).

[0015] Specifically, the present invention is a method executed by a CPU in a questionnaire system that is a computer, the method including a first medical-related question content identification information holding step for holding first medical-related question content questionnaire identification information that is information for uniquely identifying one or more first medical-related question contents that are first medical-related question contents, a first medical-related question content holding step for holding the first medical-related question content identification information and the first medical-related question contents in association with each other, a medical identification information holding step for holding medical identification information, a medical-related question content related information holding step for holding the medical identification information and the first medical-related question content identification information in association with each other, and key medical identification information that is medical identification information as a search key. a medical-related question content existence determination step of determining whether medical identification information matching the acquired key medical identification information is associated with first-class medical-related question content identification information; a first-class medical-related question content identification information acquisition step of acquiring the associated first-class medical-related question content identification information if the determination result in the medical-related question content existence determination step is that they are associated; a first-class medical-related question content acquisition step of acquiring first-class questionnaire content associated with the acquired first-class questionnaire identification information; and a first-class medical-related question content output step of outputting the acquired first-class questionnaire content.

[0016] In addition to the above-mentioned features, the present invention also provides a method executed by a CPU in a questionnaire system that is a computer, the method further comprising a first-type answer acquisition step of acquiring first-type answers that are answers corresponding to the output first-type medical-related question content, a first-type answer accumulation step of accumulating the acquired first-type answers, a first-type answer analysis step of analyzing the accumulated first-type answers, and a first-type analysis result retention step of retaining the first-type analysis results that are the analysis results of the first-type answer analysis step.

[0017] In addition to the above-mentioned features, the present invention also provides a method executed by a CPU in a questionnaire system that is a computer, the method including a first type of predetermined analysis result identification information holding step for holding first type of predetermined analysis result identification information that identifies a first type of predetermined analysis result that is a predetermined analysis result among the first type of analysis results held in the first type of analysis result holding step, a second type of medical-related question content identification information holding step for holding second type of medical-related question content identification information that is associated with the first type of predetermined analysis result identification information and identifies second type of medical-related question content that is medical-related question content different from the first type of medical-related question content identified by the first type of medical-related question content identification information, and a second type of medical-related question content holding step for holding second type of medical-related question content identified by the second type of medical-related question content identification information. the method further comprising: a content holding step; an analysis result determination step of determining whether the analysis result held in the first analysis result holding step is the first type of predetermined analysis result identified by the first type of predetermined analysis result identification information; a second type of medical-related question content identification information acquisition step of acquiring second type of medical-related question content identification information associated with the first type of predetermined analysis result identification information if the determination result in the analysis result determination step is the first type of predetermined analysis result identified by the first type of predetermined analysis result identification information; a second type of medical-related question content acquisition step of acquiring second type of medical-related question content identified by the acquired second type of medical-related question content identification information; and a second type of medical-related question content output step of outputting the acquired second type of medical-related question content.

[0018] In addition to the above features, the present invention also provides a method executed by a CPU in a computer questionnaire system, the method further comprising a type 2 answer acquisition step of acquiring type 2 answers which are answers corresponding to the output type 2 medical-related question content, a type 2 answer accumulation step of accumulating the acquired type 2 answers, a type 2 answer analysis step of analyzing the accumulated type 2 answers, and a type 2 analysis result retention step of retaining type 2 analysis results which are the analysis results of the type 2 answer analysis step.

[0019] In addition to the above features, the present invention also provides a method executed by a CPU in a computer questionnaire system, which further includes a medical information storage step for storing medical information identified by medical identification information, a report creation rule storage step for storing report creation rules that are rules for creating a report on medical information identified by key medical identification information that is the search key from which the first type answer and the second type answer originated, based on the first type answer and the second type answer, and a report creation step for creating a report based on the first type answer, the subsequent second type answer, and the stored report creation rules.

[0020] In addition to the above-mentioned features, the present invention also provides a method executed by a CPU in a computer questionnaire system, in which the report creation rules are rules for creating a report for respondents to apply for a recruitment linked to specified medical-related information.

[0021] In addition to the above features, the present invention also provides a method executed by a CPU in a questionnaire system that is a computer, wherein the medical identification information includes at least one of drug identification information, which is information for identifying a drug or a group of drugs; personal behavior attribute identification information, which is information for identifying attributes related to an individual's behavior including one or more of the individual's age, sex, insurance information, medical history, allergy history, medication history, family history, health checkup results and / or medical examination results, vital signs, genetic information, whether or not they smoke and / or drink alcohol, exercise habits, eating habits, sleep patterns, stress level, mental health status, psychological challenges or problems, occupation, work environment, family composition, and whether or not they have social support; injury or illness name identification information, which is information for identifying the name of an injury or illness; treatment identification information, which is information for identifying a treatment used in a prescription computer processing system; and test result identification information, which is information for identifying the results of a physical examination.

[0022] In addition to the above-mentioned features, the present invention also provides a method executed by a CPU in a computer questionnaire system, in which the drug identification information includes at least one of the following information: a drug code included in the drug price list (Ministry of Health, Labour and Welfare code), an individual drug code (YJ code), and a JAN code (standard type).

[0023] Specifically, the present invention includes a first medical-related question content identification information holding step for holding first medical-related question content questionnaire identification information, which is information for uniquely identifying one or more first medical-related question contents, a first medical-related question content holding step for holding the first medical-related question content identification information and the first medical-related question content in association with each other, a medical identification information holding step for holding medical identification information, a medical-related question content related information holding step for holding the medical identification information and the first medical-related question content identification information in association with each other, a key medical identification information acquisition step for acquiring key medical identification information, which is medical identification information used as a search key, and a medical identification matching the acquired key medical identification information. The present invention provides an operating program for a questionnaire system that is written so as to be readable and executable by a computer that has a medical-related question content presence / absence determination step for determining whether other information is associated with first-class medical-related question content identification information, a first-class medical-related question content identification information acquisition step for acquiring the associated first-class medical-related question content identification information if the determination result in the medical-related question content presence / absence determination step is that the information is associated, a first-class medical-related question content acquisition step for acquiring first-class questionnaire content associated with the acquired first-class questionnaire identification information, and a first-class medical-related question content output step for outputting the acquired first-class questionnaire content.

[0024] In addition to the above features, the present invention also provides an operating program for a questionnaire system that is written in a manner that can be read and executed by a computer that has a type 1 answer acquisition step for acquiring type 1 answers that correspond to the output type 1 medical-related question content, a type 1 answer accumulation step for accumulating the acquired type 1 answers, a type 1 answer analysis step for analyzing the accumulated type 1 answers, and a type 1 analysis result storage step for storing type 1 analysis results that are the analysis results of the type 1 answer analysis step.

[0025] In addition to the above-mentioned features, the present invention also provides a first type predetermined analysis result identification information holding step for holding first type predetermined analysis result identification information for identifying a first type predetermined analysis result that is a predetermined analysis result among the first type analysis results held in the first type analysis result holding step; a second type medical-related question content identification information holding step for holding second type medical-related question content identification information for identifying second type medical-related question content that is medical-related question content different from the first type medical-related question content identified by the first type medical-related question content identification information in association with the first type predetermined analysis result identification information; a second type medical-related question content holding step for holding second type medical-related question content identified by the second type medical-related question content identification information; and and a second medical-related question content output step for outputting the acquired second type medical-related question content.

[0026] In addition to the above features, the present invention also provides an operating program for a questionnaire system that is written in a manner that can be read and executed by a computer that includes a second-type answer acquisition step for acquiring second-type answers, which are answers corresponding to the output second-type medical-related question content, a second-type answer accumulation step for accumulating the acquired second-type answers, a second-type answer analysis step for analyzing the accumulated second-type answers, and a second-type analysis result storage step for storing second-type analysis results, which are the analysis results of the second-type answer analysis step.

[0027] In addition to the above features, the present invention also provides an operating program for a questionnaire system that is written in a manner that can be read and executed by a computer that has a medical information storage step for storing medical information identified by medical identification information, a report creation rule storage step for storing report creation rules that are rules for creating a report on medical information identified by key medical identification information that is the search key from which the first type answer and the second type answer originated, based on the first type answer and the second type answer, and a report creation step for creating a report based on the first type answer, the subsequent second type answer, and the stored report creation rules.

[0028] In addition to the above features, the present invention also provides an operating program for a questionnaire system, in which the report creation rules are written in a manner that can be read and executed by a computer that is a questionnaire system, and the rules are rules for creating a report for respondents to apply for a recruitment linked to specified medical-related information.

[0029] In addition to the above features, the present invention also provides an operating program for a questionnaire system that is written in a readable and executable manner for a questionnaire system that is a computer, wherein the medical identification information includes at least one of drug identification information, which is information for identifying a drug or a group of drugs; personal behavior attribute identification information, which is information for identifying attributes related to an individual's behavior, including one or more of the individual's age, sex, insurance information, medical history, allergy history, medication history, family history, health checkup results and / or medical examination results, vital signs, genetic information, whether or not the individual smokes and / or drinks, exercise habits, eating habits, sleep patterns, stress level, mental health status, psychological challenges or problems, occupation, work environment, family composition, and whether or not social support is present; injury / illness name identification information, which is information for identifying the name of the injury or illness; treatment identification information, which is information for identifying a treatment used in a prescription computer processing system; and test result identification information, which is information for identifying the results of a physical examination.

[0030] In addition to the above features, the present invention also provides an operating program for a questionnaire system that is written in a manner that can be read and executed by a computer questionnaire system, in which the drug identification information includes at least one or more of the following information: a drug code listed in the drug price list (Ministry of Health, Labour and Welfare code), an individual drug code (YJ code), and a JAN code (standard type). [Effects of the Invention]

[0031] As described above, the present invention provides a questionnaire system that associates and stores medical-related question content identification information that identifies medical-related question content with medical identification information, determines whether medical identification information that matches the acquired key medical identification information is associated with the medical-related question content, and, if associated, acquires and outputs the medical-related question content associated with the medical identification question content identification information. [Brief explanation of the drawings]

[0032] [Figure 1] FIG. 1 is a diagram showing a hardware configuration applied to the present invention. [Figure 2]FIG. 1 is a diagram showing an example of the overall configuration of a questionnaire system according to the present invention. [Figure 3] FIG. 1 is a diagram showing a functional configuration of a questionnaire system according to a first embodiment. [Figure 4] FIG. 1 is a diagram showing a hardware configuration of a questionnaire system according to a first embodiment. [Figure 5] FIG. 1 is a diagram showing a processing flow when the questionnaire system according to the first embodiment is used. [Figure 6] FIG. 10 is a diagram showing the functional configuration of a questionnaire system according to a second embodiment. [Figure 7] FIG. 10 is a diagram showing a hardware configuration of a questionnaire system according to a second embodiment. [Figure 8] FIG. 10 is a diagram showing a processing flow when using a questionnaire system according to the second embodiment. [Figure 9] FIG. 10 is a diagram showing the functional configuration of a questionnaire system according to a third embodiment. [Figure 10] FIG. 10 is a diagram showing the hardware configuration of a questionnaire system according to a third embodiment. [Figure 11] FIG. 10 is a diagram showing a processing flow when using a questionnaire system according to a third embodiment. [Figure 12] FIG. 10 is a diagram showing the functional configuration of a questionnaire system according to a fourth embodiment. [Figure 13] FIG. 10 is a diagram showing the hardware configuration of a questionnaire system according to a fourth embodiment. [Figure 14] FIG. 10 is a diagram showing a processing flow when a questionnaire system according to a fourth embodiment is used. [Figure 15] FIG. 10 is a diagram showing the functional configuration of a questionnaire system according to a fifth embodiment. [Figure 16] FIG. 10 is a diagram showing the hardware configuration of a questionnaire system according to a fifth embodiment. [Figure 17] FIG. 10 is a diagram showing a processing flow when using a questionnaire system according to a fifth embodiment. [Figure 18] FIG. 1 is a diagram showing a schematic flow of processing in the first embodiment.

[0033] <Hardware that can constitute the present invention>

[0034] FIG. 1 is a diagram showing a hardware configuration applied to the present invention. The present invention is, in principle, an invention that utilizes a computer, but it can also be realized by software, hardware, or the combination of software and hardware. The hardware that realizes all or part of the constituent elements of the present invention is composed of the basic components of a computer, such as a CPU, memory, bus, input / output devices, various peripheral devices, and a user interface. The various peripheral devices include storage devices, internet interfaces, internet devices, displays, keyboards, mice, speakers, cameras, videos, televisions, various sensors for monitoring production status in laboratories or factories (e.g., flow rate sensors, temperature sensors, weight sensors, liquid volume sensors, infrared sensors, shipment counters, package counters, foreign body inspection devices, defective product counters, radiation inspection devices, surface condition inspection devices, circuit inspection devices, motion sensors, worker work status monitoring devices (e.g., video, ID, PC work volume)), CD drives, DVD drives, Blu-ray drives, USB memory, USB memory interfaces, removable hard disks, general hard disks, projectors, SSDs, telephones, fax machines, copiers, printers, movie editing devices, and various sensor devices. The system does not necessarily have to be configured in a single enclosure; it can also be configured by connecting multiple enclosures via communication. Communication can be via LAN, WAN, Wi-Fi, Bluetooth (registered trademark), infrared communication, or ultrasonic communication. Furthermore, some of the components may be installed across borders. Furthermore, each of the multiple units may be operated by a different entity, or may be operated by a single entity. The system of the present invention may be operated by a single entity or multiple entities. The invention may also be configured as a system that includes, in addition to the present system, a terminal used by a third party, and a terminal used by yet another third party. These terminals may also be installed across borders. Furthermore, in addition to the present system and the terminals, devices may be provided for storing related information about third parties, registering related persons, and creating a database for recording the contents of registration. These may be provided in the present system, or may be provided outside the present system so that the present system can be configured to utilize this information.

[0035] As shown in this diagram, the computer is configured on a motherboard and comprises a chipset, CPU, non-volatile memory, main memory, various buses, BIOS, various interfaces such as USB, HDMI (registered trademark), and LAN, a real-time clock, etc. These operate in cooperation with an operating system, device drivers (for various interfaces such as USB and HDMI (registered trademark), and various built-in devices such as cameras, microphones, speakers or headphones, and displays), various programs, etc. The various programs and data that make up the present invention are configured to efficiently utilize these hardware resources to execute various processes. Chipset

[0036] A "chipset" is a set of large-scale integrated circuits (LSI) mounted on a computer's motherboard that integrates a communication function, or bridge function, between the CPU's external bus and the standard bus that connects memory and peripheral devices. Two chipset configurations are used, or one chipset configuration. The northbridge is located on the side closest to the CPU and main memory, and the southbridge is located on the side farther away, which interfaces with relatively slow external I / O.

[0037] (Northbridge) The northbridge includes a CPU interface, memory controller, and graphics interface. Most of the functions of a conventional northbridge can be performed by the CPU. The northbridge connects to the main memory slot via a memory bus, and to the graphics card slot via a high-speed graphics bus (AGP, PCI Express).

[0038] (Southbridge) The southbridge connects to the PCI interface (PCI slot) via the PCI bus and handles I / O functions such as ATA (SATA), USB, and Ethernet interfaces, as well as sound functions. Incorporating circuits to support features such as PS / 2 ports, floppy disk drives, serial ports, parallel ports, and ISA buses, which do not require or are not capable of high-speed operation, would hinder the speed of the chipset itself, so these can be separated from the southbridge chip and placed in a separate LSI called a super I / O chip. Buses are used to connect the CPU (MPU) to peripheral devices and various control units. Buses are connected by the chipset. The memory bus used to connect to main memory may instead use a channel structure for increased speed. A serial bus or a parallel bus can be used as the bus. While a serial bus transfers data one bit at a time, a parallel bus transmits the original data or multiple bits extracted from the original data as a single block over multiple communication paths simultaneously. A dedicated line for the clock signal runs parallel to the data line, synchronizing data demodulation on the receiving side. It is also used as a bus to connect the CPU (chipset) to external devices, and includes GPIB, IDE / (Parallel) ATA, SCSI, PCI, etc. Because there is a limit to how fast it can be made, in PCI Express, an improved version of PCI, and Serial ATA, an improved version of Parallel ATA, the data line can be a serial bus.

[0039] CPU

[0040] A CPU sequentially reads, interprets, and executes a sequence of instructions called a program stored in main memory, outputting signal-based information to the main memory. The CPU functions as the center of computation within a computer. A CPU consists of a CPU core, which is the center of computation, and its peripheral components, including registers, cache memory, an internal bus connecting the cache memory to the CPU core, a DMA controller, a timer, and an interface with the bus connecting to the north bridge. A single CPU (chip) may have multiple CPU cores. Processing may also be performed by a graphics interface (GPU) or FPU in addition to the CPU. While the embodiments are described as being of a two-core type, this is not limiting. Programs may also be embedded within the CPU.

[0041] <Non-volatile memory>

[0042] (HDD)

[0043] The basic structure of a hard disk drive consists of a magnetic disk, a magnetic head, and an arm on which the magnetic head is mounted. The external interface can be SATA (formerly ATA). A high-performance controller, such as SCSI, is used to support communication between hard disk drives. For example, when copying a file to another hard disk drive, the controller can read the sectors, transfer them to the other hard disk drive, and write them. This does not access the host CPU's memory, so there is no increase in the CPU load.

[0044] <Main memory>

[0045] The CPU directly accesses and executes various programs in main memory. Main memory is volatile memory and uses DRAM. Programs in main memory are expanded from non-volatile memory to main memory upon receiving a program startup command. The CPU then executes the program according to various execution commands and execution procedures within the program.

[0046] Operating System (OS)

[0047] An operating system is used to manage computer resources for use by applications, to manage various device drivers, and to manage the computer itself (the hardware). In small computers, firmware is sometimes used as the operating system.

[0048] ≪BIOS≫

[0049] The BIOS causes the CPU to execute procedures for starting up the computer hardware and running the operating system. It is most typically the hardware that the CPU reads first when it receives a computer startup command. The BIOS contains the address of the operating system stored on the disk (non-volatile memory), and the BIOS loaded into the CPU sequentially loads the operating system into main memory, putting it into operation. The BIOS also has a check function that checks the presence or absence of various devices connected to the bus. The check results are stored in main memory and made available to the operating system as appropriate. The BIOS may also be configured to check for external devices, etc. The above applies to all embodiments.

[0050] As shown in the figure, the present invention can basically be configured with a general-purpose computer program and various devices. The computer basically operates by loading a program recorded in non-volatile memory into main memory, and then executing processing using the main memory, CPU, and various devices. Communication with devices is performed via an interface connected to a bus line. Possible interfaces include a display interface, keyboard, and communication buffer. Below, an embodiment of the present invention will be described with reference to the illustrated examples.

[0051] <Fulfillment of the Laws of Nature of the Invention>

[0052] The present invention functions through the cooperation of a computer, communications equipment, and software. Specifically, the present invention relates to a questionnaire system that associates and stores medical question content identification information that identifies medical question content with medical identification information, determines whether medical identification information matching acquired key medical identification information is associated with the medical question content, and, if so, retrieves and outputs the medical question content associated with the medical identification question content identification information. Various information and data are exchanged between multiple medical professional terminals, administrator terminals, etc., via a network using hardware resources. Therefore, from this perspective, if the claimed invention is judged based on the computer and other resources described in the claims and specification and the common general knowledge related to those matters, the claimed invention as a whole utilizes a law of nature and falls under the category of a computer-software-related invention.

[0053] <The significance of utilizing the laws of nature required by patent law>

[0054] The Patent Act requires that an invention be industrially applicable and contribute to the development of industry. This requirement ensures that the invention is industrially applicable. In other words, the invention must be industrially useful; that is, the effects of the invention declared in the application must be reproducible with a certain degree of certainty through the practice of the invention. From this perspective, the application of the laws of nature is interpreted as the use of the laws of nature to achieve the functions of each of the invention's defining features (invention elements), which constitute the invention's effects. Furthermore, the effect of an invention is sufficient if it has the potential to provide a specific utility to users who use the invention, and should not be viewed in terms of how users feel or think about that utility. Therefore, even if the effect users gain from the system is a psychological effect, that effect itself does not fall within the scope of the required application of the laws of nature. DETAILED DESCRIPTION OF THE INVENTION

[0055] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. The relationships between the embodiments and the claims are as follows: The explanation of embodiment 1 mainly relates to claims 1, 9, and 17, the explanation of embodiment 2 relates to claims 2, 10, and 18, the explanation of embodiment 3 relates to claims 3, 11, and 19, the explanation of embodiment 4 relates to claims 4, 12, and 20, the explanation of embodiment 5 relates to claims 5, 13, and 21, the explanation of embodiment 6 relates to claims 6, 14, and 22, the explanation of embodiment 7 relates to claims 7, 15, and 23, and the explanation of embodiment 8 relates to claims 8, 16, and 24. The present invention should not be limited to these embodiments, and can be implemented in various forms without departing from the spirit of the invention.

[0056] <Overall configuration of the questionnaire system of the present invention> FIG. 2 is a diagram showing an example of the overall configuration of the questionnaire system according to the present invention. The questionnaire system 201 is configured to be able to communicate with a plurality of medical staff terminals 202 and an administrator terminal 203 via a network 204 (for example, the Internet, a WAN, a LAN, etc.). Here, the plurality of medical staff terminals 202 and the administrator terminal 203 may be electronic devices (for example, personal computers, tablet terminals, smartphones, etc.) that can be connected to the network 204 via a wired or wireless interface (for example, a communication cable or a Wi-Fi router, etc.).

[0057] In the present invention, for example, the term "healthcare professional" refers to at least one of the following: physicians, dentists, pharmacists, public health nurses, midwives, nurses, licensed practical nurses, physical therapists, occupational therapists, orthoptists, speech-language-hearing therapists, prosthetists, radiologists, radiographers, clinical x-ray technicians, clinical laboratory technicians, medical laboratory technicians, clinical engineers, dental hygienists, dental technicians, emergency medical technicians, masseurs, acupuncturists, moxibustion therapists, judo therapists, registered dietitians, nutritionists, mental health workers, social workers, care workers, certified psychologists, clinical psychologists, and medical administrators (e.g., those primarily engaged in front desk work, medical fee claim administration, medical record management, and medical administrative assistance). The "healthcare professional" may be authorized to edit, add, delete, etc., as needed, within the scope of the various information in the questionnaire system for individuals (patients) they have been or are currently responsible for. In addition, in the present invention, an "administrator" is a person who is responsible for managing and operating the questionnaire system (for example, this may include a computer / IT individual, or the institution, organization, or corporation to which that individual belongs. It may also include an employee of a government agency or local government, or an institution, organization, or corporation commissioned by a government agency or local government), and may have the authority to edit, add, delete, etc. various information in the questionnaire system.

[0058] In the present invention, for example, the explanation is given on the assumption that the questionnaire system 201 is physically configured to function on one server, but this is not limiting, and a configuration may also be adopted in which multiple servers are provided, and information and data are exchanged between these servers, and various functions are executed in cooperation or collaboration. For example, multiple cloud servers may be provided, and various functions may be executed in cooperation or collaboration among the cloud servers. Furthermore, for example, the patent describes a method invention as "a method executed by a CPU in a computer questionnaire system," but this is not intended to be limiting. In other words, there is no intention to limit the operating entity to a CPU, and the method invention may be configured to be realized by a wide variety of hardware, such as an FPGA, a GPU, dedicated hardware, a distributed architecture on the cloud, a specialized computing device, or an AI accelerator.

[0059] <Embodiment 1 (corresponding mainly to claims 1, 9, and 17)> <Outline of Embodiment 1> This embodiment provides a questionnaire system that holds first-class medical-related question content identification information, first-class medical-related question content, and medical identification information, determines whether medical identification information that matches the acquired key medical identification information is associated with the first-class medical-related question content identification information, and if the determination result indicates that they are associated, acquires and outputs the first-class medical-related question content associated with the associated first-class medical-related question content identification information.

[0060] <Functional Configuration of Embodiment 1> 3 is a diagram showing the functional configuration of the questionnaire system in embodiment 1. This embodiment includes a first-class medical-related question content identification information storage unit, a first-class medical-related question content storage unit, a medical identification information storage unit, a medical-related question content related information storage unit, a key medical identification information acquisition unit, a medical-related question content presence / absence determination unit, a hit medical-related question content identification information acquisition unit, a first-class medical-related question content acquisition unit, and a first-class medical-related question content output unit.

[0061] <Configuration of Embodiment 1: First-class medical-related question content identification information storage unit> The "first-class medical-related question content identification information storage unit" 301 is configured to have a function of storing first-class medical-related question content identification information, which is information for uniquely identifying one or more first-class medical-related question contents. The information identified by this first-class medical-related question content identification information is a more basic question content compared to the second-class medical-related question content provided in embodiment 3. FIG. 18 is a diagram showing a schematic flow of processing in this embodiment. For example, as shown in Fig. 18, it may be configured to hold first-class medical-related question content identification information, which is information for identifying the content of questions that medical professionals ask individuals (patients). In this case, it is assumed that there are three types: "AID01", "AID02", and "AID03".

[0062] <Configuration of Embodiment 1: First-class medical-related question content storage unit> The 'first type medical question content storage unit' 302 is configured to have a function of storing first type medical question content identification information and first type medical question content in association with each other. For example, as shown in FIG. 18, the first type medical question content identification information and the first type medical question content may be linked and stored. In this case, "AID01", which is the first-class medical question content identification information, and "CO01", which is the first-class medical question content, are linked and stored. Similarly, "AID02", which is the first-class medical question content, is linked and stored with "CO02", which is the first-class medical question content. Furthermore, "AID03", which is the first-class medical question content, is linked and stored with "CO03", which is the first-class medical question content.

[0063] "Type 1 medical question content" refers to content that constitutes a basic medical question (particularly, a basic question in relation to the type 2 medical question content provided in embodiment 3), and may include text, drawings, photographs, etc. For example, in response to a question such as "Please mark the location where you feel pain," the content may be configured to allow the user to select text, or to check a drawing of the human body by clicking with a mouse or the like. An example of content is, for example, a basic question about diabetes when the key medical identification information is information identifying diabetes. For example, a question asking about physical problems caused by diabetes, such as "Is your vision bad?", can be an example of this first-class medical-related question content. Other examples of first-class medical-related question content are information for digging deeper into the medical-related information identified by the key medical identification information, such as information necessary to identify the name of the disease, information necessary to identify symptoms, information necessary to identify treatments that have been administered up to now, information necessary to identify how a user such as a patient is feeling, information necessary to identify medications that have been taken up to now, and information necessary to identify errors in treatments that have been administered up to now.

[0064] Other examples include: 1. Questions asking about details of symptoms and their progression: How long have your current symptoms been going on? Has the intensity of your pain or discomfort changed? Are your symptoms worse at certain times or in certain situations?; 2. Questions asking about medical history and comorbidities: Have you been diagnosed with any other illnesses? Are you currently taking any medications or treatments? Have you had similar symptoms before?; 3. Questions about lifestyle and environment: How has it affected your work and daily life? What are your eating and exercise habits? Are there any factors that cause you stress? 4. Questions about hopes and restrictions regarding treatment: Do you have any hopes or fears about a specific treatment? Have there been any treatments that have been effective so far, or any medications that have had strong side effects? Are there any restrictions on the time or money you can spend on treatment? 5. Questions about family and social support: Are you able to receive care or support? Are you able to talk to family and friends? Are you able to visit medical institutions without any problems? 6. Questions to confirm the effectiveness and progress of treatment: What changes have you noticed with your current treatment? Do you have any side effects or problems with treatment? Would you like additional tests or medical examinations? These questions can include, but are not necessarily limited to, one or more of the following.

[0065] In other words, this is question content that is conducted with the ultimate goal of using reliable information entered based on the objective evaluation of experts corresponding to key medical identifiers, or information identified by various medical identifiers that is data constructed based on such information (reliable data such as electronic medical record information, medication history information, PHR (public health record), electronic prescription record information, etc.), to ultimately conduct related epidemiological surveys and surveys or questionnaires similar to epidemiological surveys, surveys or questionnaires concerning the subject's behavior related to treatment or medication, evaluations of treatment or medication, evaluations of medical services and facilities, and evaluations of the medical system, and to obtain responses to these. Question content may be, but is not limited to, questionnaires, medical interviews, questions asking about the results of treatments that have already been performed, or questions asking about the results of tests that have already been performed.

[0066] <Configuration of Embodiment 1: Medical Identification Information Storage Unit> The 'medical identification information storage unit' 303 is configured to have the function of storing medical identification information. For example, "medical identification information" refers to one or more of the following information: drug identification information, which is information for identifying a drug or group of drugs; personal behavior attribute identification information, which is information for identifying attributes related to an individual's behavior, including at least one of an individual's age, sex, insurance information, medical history, allergy history, medication history, family history, health checkup results and / or medical examination results, vital signs, genetic information, whether or not they smoke and / or drink alcohol, exercise habits, eating habits, sleep patterns, stress levels, mental health status, psychological challenges or problems, occupation, work environment, family composition, and whether or not they have social support; injury / illness name identification information, which is information for identifying the name of an injury or illness; medical treatment identification information, which is information for identifying medical treatment used in a prescription computer processing system; and test result identification information, which is information for identifying the results of a physical examination.

[0067] For example, "drug identification information" may be at least one or more of the following: drug price standard listed drug code (Ministry of Health, Labour and Welfare code), individual drug code (YJ code), JAN code (standard type), but is not limited to these. In other words, any form of identification information may be used as long as it can uniquely identify a drug.

[0068] Here, as an example of "drug identification information", an individual drug code (YJ code) will be taken as a representative example and explained. The individual drug code is a 12-digit alphanumeric code with the code system shown below, and is generally called the "YJ Code," an acronym for Drug Price Information (Yakka Joho). This individual drug code (YJ Code) is managed by the Pharmaceutical Information Research Institute Co., Ltd. (1) Therapeutic classification number (1st to 4th digits) -Indicates the medicinal effects of a drug, for example, classification such as antipyretic analgesic or antibiotic. (2) Route of administration and ingredient number (5th to 7th digits) This number is set for each therapeutic classification number, for example, internal medicines (001-399), injectable medicines (400-699), and external medicines (700-999). (3) Dosage form code (8th digit) Dosage forms such as powder, tablet, liquid, etc. are represented by a single letter. The letter code used also varies depending on the administration category (internal medication, injection, topical medication, etc.). For example, for internal medications, powders are represented by "A-E," tablets by "F-L," liquids by "M-P," and others by "T, X." (4) Standard unit number (9th digit) - To distinguish between different standards within the same classification, for example, numbers are assigned to distinguish between different dosages of the same ingredient. (5) Same standard number (10th to 11th digits) - To distinguish between different brands of the same standard. For example, numbers are assigned to distinguish between drugs with the same ingredients from different manufacturers. (6) Check digit (12th digit) - A number used to detect code errors (for example, a number calculated using a specified formula from the values ​​of other digits to check for reading errors, etc.).

[0069] Here, for example, specific pharmaceutical names will be given as an example. Generally, "triazolam tablets 0.25 mg" are a benzodiazepine-based sleep inducer primarily used to treat insomnia. This drug acts on benzodiazepine receptors in the brain to facilitate sleep. Its primary efficacy is to improve insomnia symptoms, such as difficulty falling asleep and staying asleep. Its effects and actions include "relief of anxiety and tension: promoting better sleep by relieving anxiety and tension" and "hypnotic effect: improving sleep onset and quality." Caution is advised against side effects (e.g., drowsiness, dizziness, headache, fatigue) and serious side effects (e.g., transient anterograde amnesia and drug dependence). Adults are typically given 0.25 mg orally before bedtime. However, dosage may be adjusted by a doctor depending on the patient's condition and the individual's age. It is important to follow your doctor's instructions and adhere to the proper dosage and administration when using this drug. Currently, five companies manufacture and sell the aforementioned triazolam tablets 0.25 mg.

[0070] For example, the individual drug code (YJ code) for Triazolam Tablets 0.25 mg "TCK" is "1124007F2204," and the manufacturer is Tatsumi Chemical Co., Ltd. (corporate number: 1220001004150). The therapeutic classification number is "1124," indicating a benzodiazepine preparation. The route of administration and ingredient number is "007," indicating an oral medication. The dosage form code is "F," indicating a tablet. The standard unit number is "2," distinguishing between a 0.125 mg dose (standard unit number: 1) and a 0.25 mg dose (standard unit number: 2). The same standard number is "20," distinguishing between products from other pharmaceutical companies. The check digit is "4," which is used to detect coding errors.

[0071] For example, the individual pharmaceutical code (YJ code) for Triazolam Tablets 0.25mg "Nichi-Iko" is "1124007F2239", and the manufacturer is Nichi-Iko Pharmaceutical Co., Ltd. (corporate number: 1230001002236). For example, the individual pharmaceutical code (YJ code) for Triazolam Tablets 0.25 mg "CH" is "1124007F2247," and the manufacturer is Choseido Pharmaceutical Co., Ltd. (corporate number: 4480001001086). For example, the individual drug code (YJ code) for Triazolam Tablets 0.25mg "Nissin" is "1124007F2263", and the manufacturer is Nissin Pharmaceutical Co., Ltd. (corporate number: 6390001004526). For example, the individual pharmaceutical code (YJ code) for Triazolam Tablets 0.25 mg "FY" is "1124007F2271," and the manufacturer is Fuji Yakuhin Co., Ltd. (corporate number: 4030001007483). As mentioned above, individual drug codes (YJ codes) are assigned to drugs that have similar efficacy, effects, actions, and dosages, but are manufactured and sold by different companies, so that they can be distinguished from other companies.

[0072] For example, "personal behavioral attribute identification information" refers to information for identifying attributes related to an individual's behavior, including at least one of the individual's age, gender, insurance information, medical history, allergy history, medication history, family history, health checkup results and / or screening results, vital signs, genetic information, whether or not the individual smokes and / or drinks alcohol, exercise habits, eating habits, sleep patterns, stress levels, mental health status, psychological challenges or problems, occupation, work environment, family composition, and whether or not the individual has social support.

[0073] For example, information that identifies a patient with a mental illness could include: 1. Information that identifies depression, such as loss of interest or pleasure (loss of interest in previously enjoyed activities), avoidance of social interaction (tendency to isolate oneself), extreme fatigue or lethargy (reluctance to do anything), and impaired thinking or judgment (difficulty making decisions); 2. Information that identifies schizophrenia, such as hallucinations or delusions (hearing voices that do not exist or having unrealistic beliefs), flat emotions (reduced expression of joy, anger, sadness, and happiness), disorganized speech and behavior (tendency to jump around in conversation), and difficulty maintaining social relationships (difficulty with interpersonal communication); and 3. Information to identify bipolar disorder (manic depression) includes extreme mood swings (alternating between elation and depression), impulsive behavior (unplanned shopping, risky decisions), excessive activity (moving around without sleep), and decreased motivation to be active when depressed (lethargy and withdrawal). 4. Information to identify anxiety disorders (panic disorder, obsessive-compulsive disorder, etc.) includes sudden intense anxiety or fear (panic attacks), hypervigilance (excessive risk avoidance), compulsive behavior (repeatedly washing hands, repeatedly checking the same things), avoidance of social situations (fear of going out in public), and 5. Information that identifies a developmental disorder (autism spectrum disorder, ADHD, etc.) can include, but is not limited to, one or more of the following: difficulty in communication (not making eye contact, difficulty understanding unspoken rules), repetitive behavior (sticking to the same actions or hobbies), impulsive behavior (acting immediately on an idea, not good at waiting), and excessive concentration (being absorbed in a particular interest and having difficulty paying attention to other things).

[0074] For example, "insurance information" refers to the information required when an individual (patient) visits a medical institution to pay part of the medical expenses using the public medical insurance system. This information is also used when the medical institution bills the insurer (such as the government or an insurance association) for medical fees. For example, the following information may be included: (1) Insurer information Name of insurer (e.g., National Health Insurance Association (Kenko Hoken), ○○ Health Insurance Association, city, town, etc.) ·Insurance number (number printed on your insurance card) (2) Insured person information Insured person code / number (individual identification code / number) ·full name ·date of birth ·sex ·Insured person classification ·Person / Family (Dependent) Employee insurance / National Health Insurance, etc. (3) Credentials Date of eligibility acquisition / loss (time of joining / withdrawing from insurance) - Applicable category (elderly recipient card, medical care system for the elderly, etc.) (4) Share of contribution Generally, the insured person pays 30% of the cost Exceptions include children (20% or sometimes free), the elderly (10% or 20%), and those receiving welfare benefits (no copayment). (5) Other related information · Presence or absence of a certificate of application for the high-cost medical care benefit system limit · Workers' compensation · Publicly funded medical care (e.g., atomic bomb medical care, medical care for incurable diseases) Insurance card expiration date

[0075] For example, "disease name identification information" is information that expresses the name and type of illness (disease or injury) diagnosed to an individual (patient) using standard codes and classifications. It is widely used in medical data, medical fee claims (receipts), epidemiological research, medical information systems, etc. For example, the following information may be included: (1) Name of injury or disease (diagnosis name) - Name of illness diagnosed by a doctor (e.g., hypertension, diabetes, pneumonia, fracture, etc.) - Disease names are recorded as official names, abbreviations, or names based on injury / disease classification. (2) Injury / Illness Code (Classification Code) · Standard codes are assigned to identify injuries and illnesses. The typical classification systems are as follows: (A) ICD-10 (International Classification of Diseases) Classification by the World Health Organization (WHO). For example, "I10" indicates hypertension. (a) Injury and Illness Name Master (Japanese Standard) Disease name code for prescriptions established by the Ministry of Health, Labour and Welfare. Based on ICD-10, but expanded for Japan. (c) Disease name in DPC classification (DPC code) (3) Diagnosis classification Definitive diagnosis (confirmed by symptoms and tests) Suspected (e.g., "Suspected pneumonia") Diagnosis of exclusion (suspected but denied) (4) Date of diagnosis (date of onset / date of first visit) Date information on when the disease was diagnosed and recorded (5) Progress information (optional) -Indicates the state of the disease, such as "acute," "chronic," "relapse," or "in remission."

[0076] For example, "treatment identification information" may be composed of information for identifying treatment used in the medical receipt computer processing system. For example, specifically, it refers to the code information identified in various master files described in the "Computerized Medical Prescription Processing System Master File Specifications Manual" compiled by the Social Insurance Medical Fee Payment Fund. For example, it may be composed of an illness name code (7 digits) listed in the "Illness Name Master", a modifier code (4 digits) listed in the "Modifier Master", a dental formula code (6 alphanumeric digits) listed in the "Dental Formula Master", a pharmaceutical code (9 digits) listed in the "Drug Master", a specific equipment code (9 digits) listed in the "Specific Equipment Master", a comment code (9 digits) listed in the "Comment Master", a medical procedure master (9 digits) listed in the "Medical Medical Procedure Master", a dental medical procedure code (9 digits) listed in the "Dental Medical Procedure Master", a dispensing procedure code (9 digits) listed in the "Dispensing Procedure Master", and a home nursing care fee code (9 digits) listed in the "Home Nursing Care Fee Master".

[0077] For example, "test result identification information" may be information that identifies who conducted the medical examination or screening results, when and how the results were administered. This plays a very important role when medical institutions and medical examination institutions check the accuracy, traceability, storage, sharing, and inquiries of test results. For example, typical information typically included in the "test result identification information" is as follows: (1) Patient identification information Patient's name, patient number, ID (for example, personal identification number (My Number information, etc.), social insurance or national health insurance insured person code / number, employee number, unique patient ID that can be used for the purpose of handling medical information, etc.). (2) Test date and time Information about when the test was performed (e.g., May 10, 2025, 9:00 AM) (3) Medical examination type and course information General health checkups, medical checkups, cancer screenings, etc. (4) Test item name - Names of tests such as blood tests, urine tests, chest X-rays, and electrocardiograms. (5) Name of the inspection agency / implementation agency Information about which medical institution or health checkup institution conducted the test (e.g., XX Clinic, XX Health Checkup Center, etc.) (6) Specimen number or test number An identification number assigned to a specific sample (blood, urine, etc.). This is key information that links the sample to the result. (7) Lot number (equipment identification, etc.) Serial numbers of test reagents and equipment used (if applicable) for equipment traceability. (8) Information on the person who conducted the test Identification information (name or ID) of technicians and doctors, necessary for work management and clarifying responsibility. (9) System ID / Record ID A unique identifier (e.g., database ID) in the information system where the health check results are recorded

[0078] <Configuration of Embodiment 1: Medical-related Question Content Related Information Storage Unit> The 'storage unit for information relating to medical-related question content' 304 is configured to have a function of storing medical identification information and first-class medical-related question content identification information in association with each other. For example, as shown in FIG. 18, medical care identification information and first-class medical care-related question content identification information may be stored in association with each other. For example, as shown in Fig. 18, medical identification information "HID01" may be associated with first-class medical-related question content identification information "AID01" and stored. Similarly, medical identification information "HID02" may be associated with first-class medical-related question content identification information "AID03" and stored.

[0079] <Configuration of Embodiment 1: Key Medical Identification Information Acquisition Unit> The 'acquisition unit for key medical identification information' 305 is configured to have a function of acquiring key medical identification information, which is medical identification information used as a search key. For example, as shown in Figure 18, in case 1, key medical identification information "HID03" is acquired, and in case 2, key medical identification information "HID02" is acquired.

[0080] "Key medical identification information" refers to information necessary to identify diseases, symptoms, possible onset of disease, and other health problems, such as: 1. the patient's symptoms, chief complaint (the patient's main symptoms), type, intensity, and duration of pain, general symptoms such as fever, cough, and fatigue, and gastrointestinal symptoms (nausea, diarrhea, loss of appetite, etc.); 2. medical history (past medical history), diseases previously diagnosed, surgical history, hospitalization history, medications and treatments currently being taken, and allergy history (drugs, foods, etc.); 3. family history, whether there are any specific hereditary diseases in the family, and the occurrence of cancer, diabetes, etc. in the family; 4. lifestyle and environmental factors, smoking and drinking habits, diet (nutritional balance, dietary content), exercise habits, work environment (stress, exposure to harmful substances, etc.); 5. physical examination results, vital signs such as body temperature, blood pressure, and pulse rate, abnormalities in respiratory and heart sounds, skin and mucous membrane conditions (jaundice, rash, etc.), neurological examination (muscle strength, abnormal sensations, etc.); and 6. Examples include, but are not limited to, one or more of the following: test results, blood tests (inflammation, anemia, liver dysfunction, etc.), diagnostic imaging (X-ray, CT, MRI, ultrasound, etc.), pathological tests (tissue and cell tests), genetic tests (diagnosis of specific genetic diseases), physiological tests (electrocardiogram, electroencephalogram, etc.), genetic test results, answers to diagnostic charts such as interviews, choice of questions in AI diagnostic tools, and results of detailed tests (endoscopy, special immune tests, etc.).

[0081] <Configuration of Embodiment 1: Medical-Related Question Content Presence Determination Unit> The 'medical-related question content presence / absence determination unit' 306 is configured to have a function of determining whether medical identification information that matches the acquired key medical identification information is associated with first-class medical-related question content identification information. For example, as shown in Figure 18, in case 1, it is determined whether medical identification information that matches the acquired key medical identification information ``HID03'' is associated with first-class medical-related question content identification information, and in case 2, it is determined whether medical identification information that matches the acquired key medical identification information ``HID02'' is associated with first-class medical-related question content identification information. In this case, in case 1, it is determined that there is no match, but in case 2, it is determined that there is an association with "AID03", which is the first-class medical-related question content identification information.

[0082] <Configuration of Embodiment 1: Hit Medical-Related Question Content Identification Information Acquisition Unit> The 'acquisition unit for hit medical question content identification information' 307 is configured to have a function of acquiring the associated first-class medical question content identification information when the determination result indicates that there is an association. For example, as shown in Figure 18, in case 1, the medical identification information "HID03" does not have any associated first-class medical-related question content identification information, so nothing is acquired. On the other hand, in case 2, the medical identification information "HID02" has associated first-class medical-related question content identification information, which is determined to be "AID02," so the first-class medical-related question content identification information "AID02" is acquired.

[0083] <Configuration of Embodiment 1: First-class medical-related question content acquisition unit> The 'first type medical-related question content acquisition unit' 308 is configured to have a function of acquiring first type medical-related question content associated with the acquired first type medical-related question content identification information. For example, as shown in FIG. 18, in case 2, the first type medical-related question content "CO02" associated with the acquired first type medical-related question content identification information "AID02" is acquired.

[0084] <Configuration of Embodiment 1: Type 1 Medical-Related Question Content Output Unit> The 'first type medical question content output unit' 309 is configured to have a function of outputting the acquired first type medical question content. For example, as shown in FIG. 18, in case 2, the acquired first-class medical question content "CO02" is output. For example, a pharmacist may use the medical staff terminal to output, ie, display, the first type of medical-related question content based on medical identification information that identifies a specific drug or group of drugs. In this case, the pharmacist can view the first-class medical care-related question content and ask various questions to the individual (patient) face-to-face.

[0085] <Embodiment 1 Hardware> When this embodiment is implemented by a computer, the entire system can be implemented by a single computer, or by a collaboration of multiple computers. The multiple computers may form a cloud. Figure 4 shows a diagram of this hardware.

[0086] <Embodiment 1: Method (mainly corresponding to claim 9), program (mainly corresponding to claim 17)> FIG. 5 shows the procedure for implementing the first embodiment as a method invention or a program.

[0087] <Effects of Embodiment 1> With the above configuration, first-class medical question content, which is question content for pharmaceutical companies, medical research institutions, hospitals, medical societies, medical associations, disease-related research institutions, etc. to find out what real patients want to know, or content for finding out what they want to know in order to ask more in-depth questions that lead to what they want to know, can be output to only those subjects to whom the question should be asked. The digital data and collected survey results obtained by increasing medical knowledge and extracting appropriate subjects significantly reduce the need for cleaning the survey results, making it possible to conduct more accurate surveys. At the same time, when using this system for recruiting for clinical trials, for example, it is likely to shorten the recruitment period, shorten the time until the survey starts, and improve aggregation efficiency. Furthermore, simple surveys can be easily conducted by simply aggregating the first-class medical question content, and the second-class medical question content provided in embodiment 3 can be used to conduct more selective in-depth surveys, questionnaires, and recruitment of participants.

[0088] <Embodiment 2 corresponds mainly to claims 2, 10, and 18>

[0089] <Outline of Embodiment 2> This embodiment is based on the first embodiment, and is mainly related to an invention for analyzing answers to the first type medical-related question content output in the first embodiment. <Configuration of Embodiment 2> As shown in FIG. 6, this embodiment is based on the configuration (601 to 609) shown in the first embodiment, and further includes a first type answer acquisition unit (610), a first type answer accumulation unit (611), a first type answer analysis unit (612), and a first type answer analysis result holding unit (613).

[0090] <Configuration of Second Embodiment> <Configuration of Second Embodiment: First Type Answer Acquisition Unit> The "first-type answer acquisition unit" is configured to acquire a first-type answer that is an answer corresponding to the output first-type medical-related question content. This acquisition may be via a communication network, internal acquisition, or acquisition via a recording medium. The answer may be acquired in its original form, or may be acquired after being processed or transformed to some extent. As an example of processing, the answer entered in text may be converted into identification information and acquired, or the acquired answer may be processed by adding additional information. Furthermore, multiple answers may be expressed together as a single answer and acquired, or may be acquired with the meaning transformed.

[0091] <Embodiment 2: Description of Configuration: First-Type Answer Accumulation Unit> The "first-type answer storage unit" is configured to store the acquired first-type answers. This storage may be stored in a single recording device or may be configured to be distributed across multiple recording devices. It is preferable to add time information to the storage as history information, and in some cases, the storage may be configured to be associated with information identifying the respondent or attribute information of the respondent. In this case, information identifying the person who posed the first-type medical-related question content of embodiment 1 is secured in the system, and this information is associated with the answers and stored. In addition to cases where multiple different questions are posed to a single respondent, there is also the possibility of the same question being posed. Therefore, it is preferable to retain the answers to the most recent questions as history rather than overwriting previous answers. This is because changes over time can also be used as important information. It is also preferable to continue storage regardless of the respondent's death. However, if death information is obtained, it is preferable to flag the first-type answer as a death and associate information regarding the cause of death with the first-type answer. Since fat information cannot necessarily be obtained from the questionnaire system of embodiment 1, it is preferable to use information from other systems.

[0092] <Embodiment 2: Description of Configuration: First-Type Response Analysis Unit> The 'first type response analysis unit' is configured to analyze the accumulated first type responses. One example of analysis is statistical analysis of a large number of responses to clarify the position of each response within the collection of responses. For example, 1. Descriptive statistics include mean, median, and mode, which determine the representative value of the data; standard deviation and variance, which measure the variation in the data; and histograms and scatter plots, which visualize the distribution of data. 2. Regression analysis includes simple regression analysis, which predicts results using one independent variable; multiple regression analysis, which analyzes the impact of multiple factors on results; and logistic regression, which predicts binary data (e.g., the presence or absence of a disease). 3. Clustering includes K-means, which groups data based on similarity; hierarchical clustering, which reveals the hierarchical structure of data; and DBSCAN, which identifies clusters in a dataset that includes outliers. 4. Principal Component Analysis (PCA), which summarizes high-dimensional data into a small number of variables to make visualization and analysis easier. 5. Factor analysis, which identifies common factors behind correlated variables. 6. Decision Trees & Random Forests are predictive models that use conditional branching of features to make decisions, and Random Forests use a collection of decision trees to improve accuracy. 7. Time Series Analysis includes the ARIMA model, which is used to predict time series data, and Exponential Smoothing, which makes predictions by taking a weighted average of past data. 8. Bayesian Statistics includes methods such as using existing information (prior probability) to update probabilities based on new data.

[0093] This analysis can also be performed using artificial intelligence, and can be configured to analyze the first-type answers to perform an analysis useful for deriving the second-type medical-related question content described in embodiment 3, such as what disease the subject is suffering from, what disease they are likely to suffer from, what side effects they are likely to show, what complications they are likely to have, and what type of patient attributes they are likely to have.

[0094] <Configuration of Second Embodiment: First-Type Analysis Result Storage Unit> The "first type analysis result storage unit" is configured to store the first type analysis results, which are the analysis results of the first type response analysis unit. This stored information is used to select second type medical-related question content in the next embodiment, embodiment 3. Furthermore, this analysis result alone may reveal important knowledge both academically and in actual medical practice, and by maintaining a database of this alone in association with the first type medical-related question content and the attributes of the respondents, it constitutes a useful knowledge asset.

[0095] <Hardware Configuration of Second Embodiment> 7 is a diagram showing the hardware configuration of embodiment 2. As with embodiment 1, when this embodiment is implemented by a computer, the entire system can be implemented by a single computer or by a collaboration of multiple computers. The multiple computers may form a cloud.

[0096] <Embodiment 2: Method (mainly claim 9), program (mainly claim 18)> FIG. 8 shows the procedure for implementing the second embodiment as a method invention or a program.

[0097] <Effects of Embodiment 2> The invention of this embodiment has the effect of being able to appropriately select the second type of medical-related question content of embodiment 3, and by analyzing the first type of answers, it is possible to know what disease the subject is suffering from, what disease they are likely to suffer from, what side effects they are likely to show, what complications they are likely to have, what attributes the patient is likely to have, etc., and this can also be used publicly as a database.

[0098] <Embodiment 3 corresponds mainly to claims 3, 11, and 19>

[0099] <Outline of Embodiment 3> The third embodiment is based on the second embodiment. The analysis result storage unit is configured to determine whether the analysis result stored in the first-type analysis result storage unit is a first-type predetermined analysis result identified by the first-type predetermined analysis result identification information, and if it is determined to be a first-type predetermined analysis result identified by the first-type predetermined analysis result identification information, output second-type medical-related question content identified by second-type medical-related question content identification information. By extracting appropriate subjects, the digital data and collected survey results are configured to output next-stage question content aimed at significantly reducing the need for survey result cleaning. <Configuration of Embodiment 3> As shown in Figure 9, embodiment 3 utilizes embodiment 2 and comprises a first type predetermined analysis result identification information storage unit, a second type medical-related question content identification information storage unit, a second type medical-related question content storage unit, an analysis result judgment unit, a second type medical-related question content identification information acquisition unit, a second type medical-related question content acquisition unit, and a second type medical-related question content output unit.

[0100] <Embodiment 3: Description of Configuration: First-Type Predetermined Analysis Result Identification Information Storage Unit> The "first type predetermined analysis result identification information storage unit" is configured to store first type predetermined analysis result identification information that identifies a first type predetermined analysis result, which is a predetermined analysis result, among the first type analysis results stored in the first type analysis result storage unit. Here, "type 1 predetermined analysis result" refers to information showing the analysis result for identifying a person who has provided an answer that is suitable as a recipient of type 2 medical-related question content, which is so-called deeper question content, and "type 1 predetermined analysis result identification information" is information that identifies this.

[0101] In order to narrow down the subjects who are suitable for providing the second type of medical-related question content as the first type predetermined analysis result, for example, the following analysis results are taken into consideration. 1. Classification based on clinical characteristics focuses on the analysis of symptom severity (classified as mild, moderate, or severe), duration of the course (acute vs. chronic), and combinations of multiple symptoms (such as the presence of specific complications). 2. Classification based on physiological data focuses on the analysis of blood test and biomarker results (classification by level of abnormal values), imaging diagnostic results (size and progression of lesions), and genetic factors (association with family history). 3. Classification based on lifestyle and environmental factors focuses on smoking and drinking habits (risk assessment based on frequency and amount), diet (nutritional balance, specific food intake habits), and occupational environment (exposure to hazardous substances, high-stress environment). 4. As for the presence or absence of comorbidities, focuses on the relationship with chronic diseases such as diabetes and hypertension, the state of the immune system (risk of autoimmune diseases and infectious diseases), and the impact of mental illness on the progression of physical illness. 5. The genetic and epidemiological risk assessment focuses on whether there is a family history (risk of genetic disease), incidence rates in specific areas (possibility of environmental factors having an influence), and differences in risk by gender and age (groups susceptible to development), and these are identified as type 1 specified analysis result information.

[0102] <Configuration of Third Embodiment: Second-Type Medical-Related Question Content Identification Information Storage Unit> The "second-type medical-related question content identification information storage unit" is configured to store second-type medical-related question content identification information that identifies second-type medical-related question content, which is medical-related question content different from the first-type medical-related question content identified by the first-type medical-related question content identification information, in association with the first-type predetermined analysis result identification information. "Type 2 medical question content" refers to question content that is used to further refine the information provided by the answers to questions in Type 1 medical question content, i.e., to narrow down the patient's illness, side effects, and likelihood of contracting the illness, etc. For example, questions such as: 1. Symptom details include: Symptom progression: Do symptoms worsen over time? Are there any moments of relief? Influence of environmental factors: Do specific foods, seasons, or stress factors affect your symptoms? Changes in time of day: Do your symptoms change between morning, noon, or night? 2. Questions about additional clinical test results include: Blood tests: Check for specific biomarkers (inflammatory, immune, endocrine disorders, etc.); Diagnostic imaging (X-ray, CT, MRI, ultrasound, etc.): Questions about the results of detailed observations of the body's internal structure; Physiological tests (electrocardiogram, electroencephalogram, etc.): Questions about evaluating abnormalities in the nervous and circulatory systems; 3. Disease-specific functional assessment questions include: Respiratory function tests: Questions about assessing the possibility of asthma or COPD; Neurological tests: Questions about identifying abnormalities in muscle strength, reflexes, and sensation; Hormone tests: Questions about assessing thyroid function and diabetes risk; 4. Genetic and family history questions include: Has a similar disease occurred in your family? Questions about the results of genetic testing; and 5. Questions for assessing lifestyle and environmental factors may include, but are not limited to, one or more of: dietary and nutritional status: questions to identify possible involvement of specific nutrient deficiencies; occupational and residential environment: questions inquiring about the effects of exposure to harmful substances and stress; questions or solicitations to ask or invite participation in a specific clinical trial; epidemiological surveys and surveys similar to epidemiological surveys; surveys or questionnaires related to the subject's treatment or medication behavior, evaluation of treatment or medication, evaluation of medical-related services and facilities, evaluation of the medical system; surveys or questionnaires using medical-related information to encourage participation in a recruitment campaign linked to medical-related information and ask whether or not to participate; and solicitations or enrollment for health insurance, life insurance, other insurance, or mutual aid.

[0103] This can also include epidemiological surveys and surveys or questionnaires related to medical-related information, surveys or questionnaires similar to epidemiological surveys, surveys or questionnaires related to the subject's behavior regarding treatment or medication, evaluation of treatment or medication, evaluation of medical-related services and facilities, and evaluation of the medical system, which can be used to determine the incidence and prevalence of diseases, the actual state of diseases, factors that affect onset and aggravation, verification of the effectiveness of preventive measures and intervention methods, evaluation of changes in diseases over time and regional differences, understanding of drug use, monitoring of drug safety and adverse events, genetic epidemiology, molecular epidemiology, social epidemiology, understanding trends in infectious disease epidemics, and environmental epidemiology. This may also include epidemiological surveys such as those on the actual use of medical services and consultation behavior, evaluation of the impact of policy introduction, surveys on the quality and cost-effectiveness of medical care, health-related behavior, and the impact of policy introduction, as well as surveys similar to epidemiological surveys, such as evaluation of patient treatment participation, patient treatment compliance, interventions to promote behavioral change, evaluation of drug use, satisfaction with and issues regarding treatment and medication, surveys related to health foods, evaluation of health-related products or services, and questionnaires and surveys on evaluation of services and treatment contents of medical institutions, medical-related facilities, and nursing homes that output medical-related question content. Furthermore, examples of using medical-related information to encourage and ask about participation in various events, activities, projects, experiments, tests, etc. linked to medical-related information include recruitment for clinical trials, solicitation of insurance, recruitment of monitors for health foods and pharmaceuticals, recruitment for epidemiological surveys outside the patent, and recruitment for sociological surveys outside the patent.

[0104] <Embodiment 3: Description of Configuration: Second-class medical-related question content storage unit> The "second-class medical question content storage unit" is configured to store second-class medical question content identified by the second-class medical question content identification information. This question content has already been described in the second-class medical question content identification information storage unit, so a detailed description is omitted.

[0105] <Embodiment 3: Description of Configuration: Analysis Result Determination Unit> The "analysis result determination unit" is configured to determine whether the analysis result stored in the first-type analysis result storage unit is a first-type predetermined analysis result identified by the first-type predetermined analysis result identification information. This determination can be performed by comparing the identification information when the analysis result stored in the first-type analysis result storage unit is described using identification information or when the analysis result is stored in a state convertible to identification information. This comparison can be configured to determine whether the result is a first-type predetermined analysis result if there is an exact match, or to determine whether the result is a first-type predetermined analysis result if the first-type analysis result is included in the first-type predetermined analysis result, for example, if the former is a subordinate concept of the latter or is included in a collection of the latter. This determination can also be configured to be performed using a processing algorithm, or by determining whether an output associated with the first-type predetermined analysis result is obtained when the first-type analysis result is input as a variable into a predetermined function. Alternatively, the first-type predetermined analysis result can be read by artificial intelligence to determine whether it is a first-type predetermined analysis result. Furthermore, this artificial intelligence can be configured to make more precise decisions over time by providing feedback on the results, and can also be made to learn from past cases to make more precise decisions.

[0106] <Embodiment 3: Description of Configuration: Type 2 Medical-Related Question Content Acquisition Unit> The "second-type medical-related question content identification information acquisition unit" is configured to acquire second-type medical-related question content identification information associated with the first-type predetermined analysis result identification information when the judgment result by the analysis result judgment unit is judged to be a first-type predetermined analysis result identified by the first-type predetermined analysis result identification information. The "type-2 medical-related question content identification information" has already been explained in the description of the type-2 medical-related question content identification information storage unit, and therefore will not be explained here. Note that the questions associated with this question content identification information may be configured so that one question content is associated with one identification information, or so that multiple question contents are associated with one identification information.

[0107] <Embodiment 3: Description of Configuration: Type 2 Medical-Related Question Content Acquisition Unit> The "second-class medical-related question content acquisition unit" is configured to acquire second-class medical-related question content identified by the acquired second-class medical-related question content identification information. The second-class medical-related question content may be configured to be stored within the system, or may be configured to be acquired from outside the system. Furthermore, a question content editing unit (referring to change, add, and delete processes) may be provided so that the question content can be edited (the same applies to the first-class medical-related question content).

[0108] <Embodiment 3: Description of Configuration: Type 2 Medical-Related Question Content Output Unit> The "Type 2 Medical Question Content Output Unit" is configured to output the acquired Type 2 Medical Question Content. This output result is the result of following a procedure similar to conventional surveys, questionnaires, and recruitment of participants for medical questions, in which subjects are pooled into a panel in advance, survey subjects are recruited based on the subjects' subjective self-reporting, and then subjects are selected from that pool. In this case, pooling a panel in advance is costly, and if a suitable panel does not exist, panel construction can be time-consuming and costly. In contrast, the present invention uses medical-related information to output Type 1 Medical Question Content and Type 2 Medical Question Content, allowing for more accurate selection of appropriate subjects on-demand, eliminating the need for panel construction and enabling more reliable surveys to be conducted in a shorter period of time. Furthermore, this eliminates the costs associated with panel construction and maintenance, and can be used for panel recruitment based on conventional methods. Furthermore, the present patent significantly reduces the need for cleaning of survey results by identifying appropriate subjects, thereby potentially shortening recruitment time, shortening the time to start the survey, and improving data collection efficiency. Furthermore, simple surveys can be conducted simply by compiling the first-class medical-related question content, while the second-class medical-related question content can be used to conduct in-depth surveys and questionnaires that select more targeted individuals, and to solicit participation.

[0109] Third Embodiment Hardware Configuration Fig. 10 is a diagram showing the hardware configuration of embodiment 3. As with embodiments 1 and 2, when this embodiment is implemented by a computer, the entire system can be implemented by a single computer or by a collaboration of multiple computers. The multiple computers may form a cloud.

[0110] <Embodiment 3: Method (mainly claim 11), program (mainly claim 19)> FIG. 11 shows the procedure for implementing the third embodiment as a method invention or a program.

[0111] <Effects of Embodiment 3> By outputting Type 1 and Type 2 medical-related question content, appropriate subjects can be more accurately selected on-demand, eliminating the need for panel construction and enabling more reliable surveys to be conducted in a shorter period of time. This eliminates the costs associated with building and maintaining panels, and can also be used for panel recruitment based on traditional methods. Furthermore, the patent allows for the extraction of appropriate subjects, and the resulting digital data and collected survey results significantly reduce the need for survey result cleaning, potentially enabling more accurate surveys while shortening the recruitment period, shortening the time to start the survey, and improving data collection efficiency. Furthermore, simple surveys can be conducted simply by compiling Type 1 medical-related question content, while Type 2 medical-related question content allows for more selective in-depth surveys, surveys, and recruitment. The invention is considered to have been implemented if at least some of its effects are achieved.

[0112] <Embodiment 4 corresponds mainly to claims 4, 12, and 20>

[0113] <Outline of Embodiment 4> The fourth embodiment is configured to acquire, accumulate, analyze, and retain the results of second-type answers corresponding to the output second-type medical question content. This is based on the third embodiment, and is primarily intended to analyze the answers to the second-type medical question content output in the third embodiment.

[0114] <Configuration of Embodiment 4> The fourth embodiment is based on the third embodiment and is a questionnaire system that, as shown in FIG. 12, comprises a second type answer acquisition unit (1208), a second type answer accumulation unit (1209), a second type answer analysis unit (1210), and a second type analysis result storage unit (1211).

[0115] <Configuration of Embodiment 4> <Fourth embodiment: Description of configuration: second type answer acquisition unit> The 'second type answer acquisition unit' is configured to acquire a second type answer that is an answer corresponding to the output second type medical care-related question content.

[0116] The "second-type answer acquisition unit" is configured to acquire a second-type answer, which is an answer corresponding to the output second-type medical-related question content. This acquisition may be via a communication network, internal acquisition, or acquisition via a recording medium. The answer may be acquired in its original form, or may be acquired after being processed or transformed to some extent. As an example of processing, the answer entered in text may be converted into identification information and acquired, or the acquired answer may be processed by adding additional information. Furthermore, multiple answers may be expressed together as a single answer and acquired, or may be acquired after having their meaning transformed.

[0117] <Fourth embodiment: Description of configuration: second type response accumulation unit> The 'second type response storage unit' is configured to store the acquired second type responses. The "second-type answer accumulation unit" is configured to accumulate the acquired second-type answers. This accumulation may be recorded in a single recording device or may be configured to be distributed across multiple recording devices. It is preferable to add time information to the accumulation as history information, and in some cases, the accumulation may be configured to be associated with information identifying the respondent or attribute information of the respondent. In this case, information identifying the person who posed the second-type medical-related question content of embodiment 3 is secured in the system, and this information is associated with the answers and accumulated. In addition to cases where multiple different questions are posed to a single respondent, there is also the possibility of the same question being posed. Therefore, it is preferable to retain the answers to the most recent questions as history rather than overwriting previous answers. This is because changes over time can also be used as important information. It is also preferable to continue accumulation regardless of the respondent's death. However, if death information is obtained, it is preferable to flag the first-type answer as a death and associate information regarding the cause of death with the first-type answer. Since fat information cannot necessarily be obtained from the questionnaire system of embodiment 3, it is preferable to use information from other systems.

[0118] <Fourth Embodiment: Description of Configuration: Second Type Response Analysis Unit> The 'second type response analysis unit' is configured to analyze the accumulated second type responses. The 'second type response analysis unit' is configured to analyze the accumulated second type responses. One example of analysis is statistical analysis of a large number of responses to clarify the position of each response within the collection of responses. For example, 1. Descriptive statistics include mean, median, and mode, which determine the representative value of the data; standard deviation and variance, which measure the variability of the data; and histograms and scatter plots, which visualize the distribution of data. 2. Regression analysis includes simple regression analysis, which predicts results using one independent variable; multiple regression analysis, which analyzes the impact of multiple factors on results; and logistic regression, which predicts binary data (e.g., the presence or absence of a disease). 3. Clustering includes the K-means method, which groups data based on similarity; hierarchical clustering, which reveals the hierarchical structure of data; and DBSCAN, which identifies clusters in datasets that contain outliers. 4. Principal Component Analysis (PCA), which summarizes high-dimensional data into a small number of variables to facilitate visualization and analysis. 5. Factor analysis, which identifies common factors behind correlated variables. 6. Decision Trees & Random Forests are predictive models that use conditional branching of features to make decisions, and Random Forests use a collection of decision trees to improve accuracy. 7. Time Series Analysis includes the ARIMA model, which is used to predict time series data, and Exponential Smoothing, which makes predictions by taking a weighted average of past data. 8. Bayesian Statistics includes methods such as using existing information (prior probability) to update probabilities based on new data.

[0119] The analysis may also be performed using artificial intelligence. The purpose of the question content posed to the subject is to first narrow down the subjects using the question content and then take some kind of action, or to obtain detailed medical-related data, so the question content can be configured to have artificial intelligence determine whether it meets these goals. The second-type answers can also be input as variables in a specified function, and the output can be used as the analysis result.

[0120] <Fourth embodiment: Description of configuration: second type analysis result storage unit> The 'second type analysis result storage unit' is configured to store the second type analysis result, which is the analysis result of the second type response analysis unit. The "second-type analysis result storage unit" is configured to store the second-type analysis results, which are the analysis results of the second-type response analysis unit. This stored information may indicate important knowledge both academically and in actual medical practice, and by maintaining a database of this information alone in association with the first-type medical-related question content and the attributes of the respondents, it constitutes a useful knowledge asset.

[0121] <Fourth embodiment: Hardware configuration> Fig. 13 is a diagram showing the hardware configuration of embodiment 4. As with embodiments 1, 2, and 3, when this embodiment is implemented by a computer, the entire system can be implemented by a single computer or by a collaboration of multiple computers. The multiple computers may form a cloud.

[0122] <Embodiment 4: Method (mainly claim 12), program (mainly claim 20)> FIG. 14 shows the procedure for implementing the fourth embodiment as a method invention or a program.

[0123] <Effects of Embodiment 4> By analyzing the second-type responses according to the present embodiment, it is possible to know what disease the subject is suffering from, what disease the subject is likely to suffer from, what side effects the subject is likely to have, what complications the subject is likely to have, what attributes the subject is likely to have, etc. This information can also be used publicly as a database. It is also possible to create a group of people who are suitable targets for solicitation to specific clinical trials, specific medical products, or medical services.

[0124] <Embodiment 5 corresponds mainly to claims 5, 13, and 21>

[0125] <Overview of the embodiment> Embodiment 5 is based on embodiment 4 and, based on the first type of response and the second type of response, creates a report on medical information identified by key medical identification information, which is the search key from which these responses originated.

[0126] <Embodiment Configuration> As shown in FIG. 15, the fifth embodiment comprises a medical information storage unit (1501), a report creation rule storage unit (1502), and a report creation unit (1503).

[0127] <Description of Configuration of Fifth Embodiment> <Embodiment 5: Description of Configuration: Medical Information Storage Unit> The "medical information storage unit" is configured to store medical information identified by the medical identification information. This has already been explained in the medical identification information section, so further explanation will be omitted.

[0128] <Fifth embodiment: Description of configuration: Report creation rule storage unit> The "report creation rule storage unit" is configured to store report creation rules, which are rules for creating a report based on the first-type answer and the second-type answer, regarding medical information identified by key medical identification information, which is the search key from which these answers originated. The report creation can be performed by clarifying the purpose of the question when selecting key medical identification information for outputting the first-type medical-related question content, storing the purpose information in the purpose information storage unit, etc., and creating a report in accordance with the purpose. It is preferable that the purpose include selecting items to be clarified from, for example, a prepared selection, and that rules for creating a report to achieve the selected purpose be provided in advance.

[0129] Rules to keep in mind when creating a report include: 1. Clarifying the purpose and subject matter; that is, the purpose of the report (is it a diagnostic report for an individual patient or an epidemiological analysis of a patient group?) and the target patient population (age group, gender, medical history, etc.); 2. Using a standardized format; that is, title (specifying the disease and subject of analysis), abstract (overview) (concisely stating the report's conclusions and main points), background information (general characteristics of the disease and causes of onset), data collection method (examination, test results, statistical analysis methods), results and analysis (specific findings and statistical results), conclusions and recommendations (treatment policy and recommendations based on the diagnostic results); 3. Making the analysis objective and well-founded; avoiding subjectivity in the description, writing in an evidence-based manner, utilizing statistical data (incidence rates, treatment outcomes, test values, etc.), and clearly stating references and data sources (ensuring reliability); 4. It is desirable to have rules that clarify the following: 1. Use clear language and appropriate technical terminology, provide appropriate explanations for medical terminology (if intended for non-specialists), consistent notation (standardize the numerical notation of disease names and test results), readability (use bullet points and charts), 2. Legal and ethical considerations, protection of patient privacy (anonymization, appropriate management of personal information), ethical descriptions (avoid misleading expressions), appropriate approval procedures (obtain confirmation from an ethical review committee when disclosing data), 3. Further evaluations and future prospects, predictions of disease progression and treatment effects, proposals for necessary additional tests, and directions for future research and data analysis.

[0130] These reports include reports for recruiting participants for various purposes related to medical information. Examples of such recruiting include recruitment for clinical trial subjects, insurance solicitations, recruitment for monitors for health foods or pharmaceuticals, recruitment for epidemiological studies outside the scope of the patent, recruitment for sociological studies outside the scope of the patent, recruitment for admission to welfare facilities related to diseases or addictions such as drug addicts or alcoholics, recruitment for admission to nursing homes, recruitment for participation in health-related experience tours, and recruitment for participation in medical lectures. Responses to the reports, such as responses, can be configured to include an indication of whether or not participants wish to participate in the recruitment. This can be done electronically, or responses can be accepted on paper. When responses are accepted electronically, the system can be configured to include a report response accepting unit.

[0131] <Embodiment 5: Description of Configuration: Report Creation Unit> The 'report creation unit' is configured to create a report based on the first type response, the subsequent second type response, and the retained report creation rules.

[0132] <Fifth embodiment: Hardware configuration> Fig. 16 is a diagram showing the hardware configuration of embodiment 5. As with embodiments 1, 2, 3, and 4, when this embodiment is implemented by a computer, the entire system can be implemented by a single computer or by a collaboration of multiple computers. The multiple computers may form a cloud.

[0133] <Embodiment 5: Method (mainly claim 13), program (mainly claim 21)> FIG. 17 shows the procedure for implementing the fifth embodiment as a method invention or a program.

[0134] <Effects of Embodiment 5> In this embodiment, a questionnaire system can be provided that can create a report based on first-type answers and second-type answers regarding medical information identified by key medical identification information, which is the search key from which these answers originated.

[0135] <Embodiment 6> A sixth embodiment is the questionnaire system according to the fifth embodiment, in which the report creation rule is a rule for a respondent to create a report for applying for a recruitment linked to predetermined medical-related information.

[0136] <Embodiment 7> Embodiment 7 is a questionnaire system described in embodiment 1, in which the medical identification information includes at least one of drug identification information, which is information for identifying a drug or a group of drugs; personal behavior attribute identification information, which is information for identifying attributes related to personal behavior including one or more of the individual's age, sex, insurance information, medical history, allergy history, medication history, family history, health checkup results and / or medical examination results, vital signs, genetic information, whether or not the individual smokes and / or drinks alcohol, exercise habits, eating habits, sleep patterns, stress level, mental health status, psychological challenges or problems, occupation, work environment, family composition, and whether or not there is social support; injury / illness name identification information, which is information for identifying the name of the injury or illness; medical treatment identification information, which is information for identifying medical treatment used in a prescription computer processing system; and test result identification information, which is information for identifying the results of a physical examination.

[0137] <Embodiment 8> The eighth embodiment has already been explained in the first embodiment, so the explanation will be omitted. [Explanation of symbols]

[0138] Survey system: 201, 300 Medical staff terminal: 202 Administrator terminal: 203 Network: 204 Type 1 medical-related question content identification information storage unit: 301 Type 1 medical related question content storage unit: 302 Medical identification information storage unit: 303 Medical-related question content related information storage unit: 304 Key medical identification information acquisition unit: 305 Medical related question content presence / absence determination: 306 Hit medical related question content identification information acquisition section: 307 First-class medical related question content acquisition department: 308 Type 1 medical related question content output section: 309

Claims

1. a first-class medical-related question content identification information storage unit that stores first-class medical-related question content identification information, which is information for uniquely identifying one or more first-class medical-related question contents; a first-class medical-related question content storage unit that stores the first-class medical-related question content identification information and the first-class medical-related question content in association with each other; a medical identification information storage unit for storing medical identification information; a medical-related question content related information storage unit that stores the medical identification information and the first-class medical-related question content identification information in association with each other; a key medical identification information acquisition unit that acquires key medical identification information, which is medical identification information used as a search key; a medical-related question content presence / absence determination unit for determining whether the medical identification information that matches the acquired key medical identification information is associated with the first type medical-related question content identification information; a first-class medical-related question content identification information acquisition unit that acquires the associated first-class medical-related question content identification information when the medical-related question content existence determination unit determines that the medical-related question content is associated; a first-class medical-related question content acquisition unit that acquires the first-class medical-related question content associated with the acquired first-class medical-related question content identification information; a first-class medical question content output unit that outputs the acquired first-class medical question content; A questionnaire system having the above.

2. a first-class answer acquisition unit that acquires a first-class answer that is an answer corresponding to the output first-class medical-related question content; a first-class response storage unit that stores the acquired first-class responses; a first-class response analysis unit that analyzes the accumulated first-class responses; a first-type analysis result storage unit that stores a first-type analysis result that is an analysis result by the first-type response analysis unit; The questionnaire system according to claim 1 , further comprising:

3. a first type predetermined analysis result identification information storage unit that stores first type predetermined analysis result identification information that identifies a first type predetermined analysis result that is a predetermined analysis result among the first type analysis results stored in the first type analysis result storage unit; a second-class medical-related question content identification information storage unit that stores second-class medical-related question content identification information that identifies second-class medical-related question content that is different from the first-class medical-related question content identified by the first-class medical-related question content identification information in association with the first-class predetermined analysis result identification information; a second-class medical-related question content storage unit that stores second-class medical-related question content identified by the second-class medical-related question content identification information; an analysis result determination unit that determines whether the analysis result stored in the first-type analysis result storage unit is a first-type predetermined analysis result identified by the first-type predetermined analysis result identification information; a second-class medical-related question content identification information acquisition unit that acquires second-class medical-related question content identification information associated with the first-class predetermined analysis result identification information when the result of the analysis result determination unit is determined to be the first-class predetermined analysis result identified by the first-class predetermined analysis result identification information; a second-class medical-related question content acquisition unit that acquires second-class medical-related question content identified by the acquired second-class medical-related question content identification information; a second type medical question content output unit that outputs the acquired second type medical question content; The questionnaire system according to claim 2 , further comprising:

4. a second-type answer acquisition unit that acquires a second-type answer that is an answer corresponding to the output second-type medical-related question content; a second-type response storage unit that stores the acquired second-type responses; a second-type response analysis unit that analyzes the accumulated second-type responses; a second-type analysis result storage unit that stores a second-type analysis result that is an analysis result by the second-type response analysis unit; The questionnaire system according to claim 3, further comprising:

5. a medical information storage unit that stores medical information identified by the medical identification information; a report creation rule storage unit that stores report creation rules, which are rules for creating a report on medical information identified by key medical identification information, which is a search key that is the origin of the first type answer and the second type answer, based on these answers; a report creation unit that creates a report based on the first type response, the subsequent second type response, and stored report creation rules; The questionnaire system according to claim 4, further comprising:

6. The questionnaire system according to claim 5 , wherein the report creation rule is a rule for a respondent to create a report for applying for a recruitment linked to predetermined medical-related information.

7. 2. The questionnaire system of claim 1, wherein the medical identification information includes at least one of drug identification information, which is information for identifying a drug or a group of drugs; personal behavior attribute identification information, which is information for identifying attributes related to an individual's behavior, including one or more of an individual's age, sex, insurance information, medical history, allergy history, medication history, family history, health checkup results and / or medical examination results, vital signs, genetic information, whether or not the individual smokes and / or drinks alcohol, exercise habits, eating habits, sleep patterns, stress level, mental health status, psychological challenges or problems, occupation, work environment, family composition, and whether or not social support is present; injury or illness name identification information, which is information for identifying the name of an injury or illness; medical treatment identification information, which is information for identifying a medical treatment used in a prescription computer processing system; and test result identification information, which is information for identifying the results of a physical examination.

8. The questionnaire system according to claim 7, wherein the drug identification information includes at least one of the following: a drug code included in the drug price list (Ministry of Health, Labor and Welfare code), an individual drug code (YJ code), and a JAN code (standard type).

9. A method executed by a CPU in a computer-based questionnaire system, comprising: a first-class medical-related question content identification information holding step for holding first-class medical-related question content questionnaire identification information, which is information for uniquely identifying one or more first-class medical-related question contents; a first-class medical-related question content holding step of holding the first-class medical-related question content identification information and the first-class medical-related question content in association with each other; a medical identification information maintaining step of maintaining medical identification information; a medical-related question content related information holding step of holding the medical identification information and the first type medical-related question content identification information in association with each other; a key medical identification information acquisition step of acquiring key medical identification information, which is medical identification information as a search key; a medical-related question content presence determination step of determining whether the medical identification information that matches the acquired key medical identification information is associated with the first type medical-related question content identification information; a first-class medical-related question content identification information acquisition step for acquiring the first-class medical-related question content identification information associated with the first-class medical-related question content when the determination result in the medical-related question content presence determination step indicates that the content is associated; a first-class medical-related question content acquisition step of acquiring the first-class medical-related question information associated with the acquired first-class medical-related question content identification information; a first-class medical question content output step for outputting the acquired first-class medical question content; A method having the following.

10. A method executed by a CPU in a computer-based questionnaire system, comprising: a first-class answer acquisition step of acquiring a first-class answer that is an answer corresponding to the output first-class medical-related question content; a first-type answer accumulation step of accumulating the acquired first-type answers; a first-type response analysis step for analyzing the accumulated first-type responses; a first type analysis result holding step for holding a first type analysis result that is an analysis result in the first type response analysis step; 10. The method of claim 9 further comprising:

11. A method executed by a CPU in a computer-based questionnaire system, comprising: a first predetermined analysis result identification information holding step for holding first predetermined analysis result identification information for identifying a first predetermined analysis result that is a predetermined analysis result among the first predetermined analysis results held in the first predetermined analysis result holding step; a second-type medical-related question content identification information holding step for holding second-type medical-related question content identification information that identifies second-type medical-related question content that is different from the first-type medical-related question content identified by the first-type medical-related question content identification information in association with the first-type predetermined analysis result identification information; a second-type medical-related question content holding step for holding second-type medical-related question content identified by the second-type medical-related question content identification information; an analysis result determination step of determining whether the analysis result stored in the first-type analysis result storage step is a first-type predetermined analysis result identified by the first-type predetermined analysis result identification information; a second medical-related question content identification information acquisition step, when it is determined that the determination result in the analysis result determination step is a first predetermined analysis result identified by the first predetermined analysis result identification information, acquiring second medical-related question content identification information associated with the first predetermined analysis result identification information; a second-type medical-related question content acquisition step of acquiring second-type medical-related question content identified by the acquired second-type medical-related question content identification information; a second type medical question content output step for outputting the acquired second type medical question content; 11. The method of claim 10 further comprising:

12. A method executed by a CPU in a computer-based questionnaire system, comprising: a second-type answer acquisition step of acquiring a second-type answer that is an answer corresponding to the output second-type medical-related question content; a second-type answer accumulation step of accumulating the acquired second-type answers; a second-type response analysis step for analyzing the accumulated second-type responses; a second type analysis result holding step for holding a second type analysis result that is an analysis result in the second type response analysis step; 12. The method of claim 11 further comprising:

13. A method executed by a CPU in a computer-based questionnaire system, comprising: a medical information holding step for holding medical information identified by the medical identification information; a report creation rule holding step for holding report creation rules, which are rules for creating a report on medical information identified by key medical identification information, which is a search key that is the origin of the first type answer and the second type answer, based on the first type answer and the second type answer; a report creation step of creating a report based on the first type response, the subsequent second type response, and stored report creation rules; 13. The method of claim 12 further comprising:

14. A method executed by a CPU in a computer-based questionnaire system, comprising: The method according to claim 13 , wherein the report creation rule is a rule for creating a report for a respondent to apply for a job linked to predetermined medical-related information.

15. A method executed by a CPU in a computer-based questionnaire system, comprising: The method of claim 9, wherein the medical identification information includes at least one of drug identification information, which is information for identifying a drug or a group of drugs; personal behavior attribute identification information, which is information for identifying attributes related to an individual's behavior, including one or more of an individual's age, gender, insurance information, medical history, allergy history, medication history, family history, health checkup results and / or medical examination results, vital signs, genetic information, whether or not the individual smokes and / or drinks alcohol, exercise habits, eating habits, sleep patterns, stress level, mental health status, psychological challenges or problems, occupation, work environment, family composition, and whether or not social support is present; injury or illness name identification information, which is information for identifying the name of an injury or illness; medical treatment identification information, which is information for identifying a medical treatment used in a prescription computer processing system; and test result identification information, which is information for identifying the results of a physical examination.

16. A method executed by a CPU in a computer-based questionnaire system, comprising: The method according to claim 15, wherein the drug identification information includes at least one of the following: a drug code listed in the drug price list (Ministry of Health, Labor and Welfare code), an individual drug code (YJ code), and a JAN code (standard type).

17. a first-class medical-related question content identification information holding step for holding first-class medical-related question content questionnaire identification information, which is information for uniquely identifying one or more first-class medical-related question contents; a first-class medical-related question content holding step of holding the first-class medical-related question content identification information and the first-class medical-related question content in association with each other; a medical identification information maintaining step of maintaining medical identification information; a medical-related question content related information holding step of holding the medical identification information and the first type medical-related question content identification information in association with each other; a key medical identification information acquisition step of acquiring key medical identification information, which is medical identification information as a search key; a medical-related question content presence determination step of determining whether the medical identification information that matches the acquired key medical identification information is associated with the first type medical-related question content identification information; a first-class medical-related question content identification information acquisition step for acquiring the first-class medical-related question content identification information associated with the first-class medical-related question content when the determination result in the medical-related question content presence determination step indicates that the content is associated; a first-class medical-related question content acquisition step of acquiring the first-class medical-related question content associated with the acquired first-class questionnaire identification information; a first-class medical question content output step for outputting the acquired first-class medical question content; A questionnaire system operating program written so as to be readable and executable by a questionnaire system that is a computer having the above program.

18. a first-class answer acquisition step of acquiring a first-class answer that is an answer corresponding to the output first-class medical-related question content; a first-type answer accumulation step of accumulating the acquired first-type answers; a first-type response analysis step for analyzing the accumulated first-type responses; a first type analysis result holding step for holding a first type analysis result that is an analysis result in the first type response analysis step; 18. An operating program for a questionnaire system, which is written so as to be readable and executable by the questionnaire system that is a computer according to claim 17.

19. a first predetermined analysis result identification information holding step for holding first predetermined analysis result identification information for identifying a first predetermined analysis result that is a predetermined analysis result among the first predetermined analysis results held in the first predetermined analysis result holding step; a second-type medical-related question content identification information holding step for holding second-type medical-related question content identification information that identifies second-type medical-related question content that is different from the first-type medical-related question content identified by the first-type medical-related question content identification information in association with the first-type predetermined analysis result identification information; a second-type medical-related question content holding step for holding second-type medical-related question content identified by the second-type medical-related question content identification information; an analysis result determination step of determining whether the analysis result stored in the first-type analysis result storage step is a first-type predetermined analysis result identified by the first-type predetermined analysis result identification information; a second medical-related question content identification information acquisition step, when it is determined that the determination result in the analysis result determination step is a first predetermined analysis result identified by the first predetermined analysis result identification information, acquiring second medical-related question content identification information associated with the first predetermined analysis result identification information; a second-type medical-related question content acquisition step of acquiring second-type medical-related question content identified by the acquired second-type medical-related question content identification information; a second type medical question content output step for outputting the acquired second type medical question content; 20. An operating program for a questionnaire system, which is written so as to be readable and executable by the questionnaire system that is a computer according to claim 18, further comprising:

20. a second-type answer acquisition step of acquiring a second-type answer that is an answer corresponding to the output second-type medical-related question content; a second-type answer accumulation step of accumulating the acquired second-type answers; a second-type response analysis step for analyzing the accumulated second-type responses; a second type analysis result holding step for holding a second type analysis result that is an analysis result in the second type response analysis step; 20. An operating program for a questionnaire system, which is written so as to be readable and executable by the questionnaire system that is a computer according to claim 19, further comprising:

21. a medical information holding step for holding medical information identified by the medical identification information; a report creation rule holding step for holding report creation rules, which are rules for creating a report on medical information identified by key medical identification information, which is a search key that is the origin of the first type answer and the second type answer, based on the first type answer and the second type answer; a report creation step of creating a report based on the first type response, the subsequent second type response, and stored report creation rules; 21. An operating program for a questionnaire system, which is written so as to be readable and executable by the questionnaire system that is a computer according to claim 20, further comprising:

22. An operating program for a questionnaire system written in a manner that can be read and executed by a questionnaire system that is a computer as described in claim 21, wherein the report creation rules are rules for respondents to create reports to apply for a recruitment linked to specified medical-related information.

23. 18. The medical identification information includes at least one of drug identification information, which is information for identifying a drug or a group of drugs; personal behavior attribute identification information, which is information for identifying attributes related to an individual's behavior, including one or more of the individual's age, gender, insurance information, medical history, allergy history, medication history, family history, health checkup results and / or medical examination results, vital signs, genetic information, whether or not the individual smokes and / or drinks alcohol, exercise habits, eating habits, sleep patterns, stress level, mental health status, psychological challenges or problems, occupation, work environment, family composition, and whether or not social support is present; injury or illness name identification information, which is information for identifying the name of the injury or illness; medical treatment identification information, which is information for identifying medical treatment used in a prescription computer processing system; and test result identification information, which is information for identifying the results of a physical examination.

19. An operating program for a questionnaire system written in a readable and executable manner for a questionnaire system that is a computer as described in claim 17.

24. The drug identification information includes at least one of the following information: a drug code included in the drug price list (Ministry of Health, Labor and Welfare code), an individual drug code (YJ code), and a JAN code (standard type).An operating program for a questionnaire system written in a manner that can be read and executed by a questionnaire system that is a computer as described in claim 23.

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