Medical product sales activity support system, sales activity support method, program

Abstract

This invention provides a sales activity support system, method, and program that outputs information that allows salespeople to easily identify physicians who are suitable as sales targets. [Solution] In the sales activity support system, the sales activity support device 10 includes a prompt generation unit 11B, a prompt transmission unit 11E, and a support information provision unit 11F. The prompt generated by the prompt generation unit includes a command statement requesting the generation of medical professional information, medical product information which is information about the drugs that the salesperson intends to sell, and sales activity support information indicating whether each physician is suitable as a target for sales of the drugs, based on the medical professional information and the medical product information. The prompt transmission unit transmits the generated prompt to a generation system which includes a large-scale language model that communicates data over a network. The support information provision unit receives sales activity support information from the generation system and provides it to the user (salesperson) of the sales activity support information.

Description

Technical Field

[0001] The present disclosure relates to a sales activity support system for medical products, a method for supporting sales activities, and a program.

Background Art

[0002] Patent Document 1 below discloses a system for estimating physicians' preferences for use in the sales activities of pharmaceutical companies. In one of the systems disclosed in this document, a machine learning model for estimating physicians' usage tendencies for drugs is used based on the physicians' specialized fields, their browsing history of websites, their frequency of participation in gatherings hosted by pharmaceutical companies or academic societies, etc. (Configuration examples 11 to 14 of Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the system of Patent Document 1, although physicians' usage tendencies for drugs are shown, salespersons (for example, MRs (Medical Representatives)) cannot easily grasp physicians who are suitable as sales targets for the drugs they want to sell.

Means for Solving the Problems

[0005] The medical product sales activity support system proposed in this disclosure includes: a storage means that stores medical professional information, including information about each medical professional, for each of a plurality of medical professionals; a prompt generation means that generates a prompt requesting the generation of sales activity support information, which includes the medical professional information and medical product information, which is information about a salesperson's medical product, and which indicates whether the medical professional is suitable as a target for sales of the medical product based on the medical professional information and the medical product information; a prompt transmission means that transmits the prompt to a generation system including a large-scale language model; and a provision means that receives the sales activity support information from the generation system and provides the sales activity support information to a user.

[0006] The method for supporting sales activities of medical products proposed in this disclosure includes the steps of: storing medical professional information, including information about each medical professional, in a storage means for each of a plurality of medical professionals; generating a prompt that includes the medical professional information and medical product information, which is information relating to the medical products of a business operator, and which requests the generation of sales activity support information indicating whether the medical professional is suitable as a target for sales of the medical products based on the medical professional information and the medical product information; transmitting the prompt to a generation system including a large-scale language model; and receiving the sales activity support information from the generation system and providing the sales activity support information to a user of the sales activity support information.

[0007] The program proposed in this disclosure includes: a storage means that stores healthcare professional information, including information about each healthcare professional, for each of a plurality of healthcare professionals; a prompt generation means that generates a prompt requesting the generation of sales activity support information, which includes the healthcare professional information and medical product information, which is information relating to the medical products of a business operator, and which indicates whether the healthcare professional is suitable as a target for sales of the medical products based on the healthcare professional information and the medical product information; a prompt transmission means that transmits the prompt to a generation system including a large-scale language model; and a computer that functions as a provision means for receiving the sales activity support information from the generation system and providing the sales activity support information to a user.

[0008] The sales activity support system, support method, and program proposed in this disclosure include prompts that include medical product information, which is information about the salesperson's medical products, and medical professional information. Therefore, it is possible to obtain sales activity support information that allows the salesperson to easily identify medical professionals who are suitable as sales targets. [Brief explanation of the drawing]

[0009] [Figure 1] This block diagram shows an example of the overall configuration of the sales activity support system proposed in this disclosure. [Figure 2A] This is a block of hardware information for sales activity support devices. [Figure 2B] This is a block diagram showing the hardware of the operator's terminal device. [Figure 2C] Block diagram of the hardware of a physician's terminal device. [Figure 3A] This figure shows an example of the home screen displayed on a physician's terminal device. [Figure 3B] This figure shows an example of a screen that displays medical support information. [Figure 3C] This figure shows an example of a screen displaying a medical calculation tool. [Figure 4] This is a sequence diagram showing the processing flow executed by the sales activity support system. [Figure 5A] It is a diagram showing an example of a prompt transmitted from a business activity support device to a generation system. [Figure 5B] It is a diagram showing an example of business activity support information obtained from a generation system. [Figure 6] It is a block diagram showing the functions of a business activity support system. [Figure 7A] It is a diagram for explaining a medical staff database. [Figure 7B] It is a diagram for explaining another example of a medical staff database. [Figure 8] It is a diagram for explaining a medical content database. [Figure 9] It is a diagram for explaining an example of a usage history database. [Figure 10] It is a diagram for explaining an example of a medical product database. [Figure 11] It is a diagram for explaining an example of an instruction text database. [Figure 12] It is a diagram showing an example of business activity support information transmitted to a salesperson terminal device. [Figure 13] It is a diagram for explaining an example of a prompt generation rule database. [Figure 14] It is a diagram showing an example of medical staff information. [Figure 15] It is a diagram showing an example of business activity support information transmitted to a salesperson terminal device. [Figure 16] It is a flowchart showing an example of a process executed in a business activity support device.

Mode for Carrying Out the Invention

[0010] Hereinafter, an example of a business activity support system, a method for supporting business activities, and a program proposed in the present disclosure will be described. FIG. 1 is a block diagram showing an example of the overall configuration of a business activity support system 100. Hereinafter, the "business activity support system" will be simply referred to as the "support system".

[0011] As shown in FIG. 1, the support system 100 includes a plurality of terminal devices each used by a plurality of medical staff. The medical staff are typically doctors. In FIG. 1, as an example of a terminal device used by medical staff, a doctor terminal device 30 is shown. The medical staff using the terminal device may be nurses, medical technicians, etc.

[0012] Also, as shown in FIG. 1, the support system 100 has a vendor terminal device 50. The vendor terminal device 50 is, for example, a terminal device used by a vendor who conducts sales activities for medical products. The vendor is a user of the sales activity support information described later and conducts sales activities by referring to the sales activity support information.

[0013] Medical products are typically drugs administered to patients. Medical products may also be medical devices or drugs that are medical but not administered to patients (e.g., test drugs, etc.). Sales activities are activities for selling medical products. For example, when the medical product is a drug, the sales activity is an act where a salesperson (Medical Representatives (MR)) from a pharmaceutical manufacturer, a wholesale company, etc. visits a medical institution or a doctor and explains the drug, etc. Also, when the medical product is a medical device, the sales activity is an act where a salesperson from a device manufacturer, a wholesale company, etc. visits a medical institution or a doctor, or holds an online meeting with a medical institution or a doctor, or sends an electronic message to a medical institution or a doctor to explain the utility, price, etc. of the medical device.

[0014] The vendor is not limited to a salesperson who visits doctors or medical institutions and may also be the pharmaceutical manufacturer itself, the manufacturer of medical devices, or the wholesaler who distributes medical products to medical institutions. That is, the vendor terminal device 50 may be a terminal device installed in the facilities of these pharmaceutical manufacturers, etc. Although the support system 100 shown in FIG. 1 has a plurality of vendor terminal devices 50, the number may be one.

[0015] In the following, the sales activity support system 100 will be explained using the example where "medical products" and "medical professionals" are "pharmaceuticals" and "doctors," respectively.

[0016] As shown in Figure 1, the support system 100 has a sales activity support device 10. The sales activity support device 10 transmits sales activity support information, such as physicians who are high priority as sales targets and the content of explanations for pharmaceutical products, to the salesperson terminal device 50. The sales activity support device 10, the physician terminal device 30, and the salesperson terminal device 50 can be connected to a network N such as the Internet. The sales activity support device 10 is also connected to a generation system G1, which includes a large-scale language model, via the network N. The sales activity support device 10 sends a prompt to the generation system G1 requesting the generation of sales activity support information. The sales activity support device 10 transmits the sales activity support information received from the generation system G1 to the salesperson terminal device 50. The sales activity support information will be explained in detail later. Hereafter, the sales activity support device 10 will be simply referred to as the support device.

[0017] [Sales activity support equipment hardware] The support device 10 is composed of, for example, a server computer. The support device 10 may consist of multiple server computers interconnected via a network N. The support device 10 may consist of one or more personal computers. As shown in Figure 2A, the support device 10 includes a control unit 11, a storage unit 12, and a communication unit 13 as its hardware elements. The support device 10 may also include a display unit 14 and an input unit 15.

[0018] The control unit 11 includes at least one processor. The control unit 11 executes processing according to the programs and data stored in the storage unit 12. The storage unit 12 includes a main memory unit and an auxiliary memory unit. For example, the main memory unit is a volatile memory such as RAM (Random Access Memory), and the auxiliary memory unit is a non-volatile memory such as ROM (Read Only Memory), EEPROM (Electrically Erasable and Programmable Read Only Memory), flash memory, or a hard disk.

[0019] The memory unit 12 stores medical content to be provided to the physician terminal device 30. This medical content is, for example, information that supports medical procedures performed by physicians. The memory unit 12 also stores the usage history (e.g., browsing history) of each physician related to the content. The medical content will be explained later.

[0020] The communication unit 13 is a communication interface for wired or wireless communication and performs data communication via the network N. The display unit 14 is, for example, a liquid crystal display device or an organic EL display device. The display unit 14 displays an image according to the instructions of the control unit 11. The input unit 15 is a pointing device such as a touch panel or a mouse. The input unit 15 may also include a keyboard or buttons. The input unit 15 inputs a signal to the control unit 11 in response to user operation.

[0021] [Generation System] The support device 10 is connected to the generation system G1 via a network N. The generation system G1 has a large-scale language model M1. The large-scale language model M1 is a computer language model composed of a neural network and includes a deep learning model with a large number of parameters (e.g., millions to billions or more) that have been pre-trained on a large corpus. The large-scale language model M1 generates and outputs a response based on the instructions of the input instruction sentence (prompt). The generation system G1 may use, as the large-scale language model M1, GPT-3, GPT-3.5, or GPT-4 related to "GPT (Generative Pre-trained Transformer) (registered trademark)", "BERT (Bidirectional Encoder Representations from Transformers)", "LaMDA (Language Model for Dialogue Applications)", "PaLM (Scaling Language Modeling with Pathways)", "LLaMA (Large Language Model Meta AI)", etc. The training of the large-scale language model M1 may use texts (e.g., research papers) that describe diseases, treatment methods, and medical products such as drugs. Furthermore, the generation system G1 does not have to be a component of the sales activity support system 100 proposed in this disclosure.

[0022] [Hardware for business operator terminal equipment] The operator terminal device 50 may be a mobile phone (including a smartphone), a personal information terminal (including a tablet computer or wearable device), or a personal computer. As shown in Figure 2B, the operator terminal device 50 includes, as its hardware elements, a control unit 51, a storage unit 52, a communication unit 53, a display unit 54, an input unit 55, and so on.

[0023] The control unit 51 executes processing according to the programs and data stored in the memory unit 52. The memory unit 52 includes volatile memory and non-volatile memory, similar to the memory unit 52 of the support device 10. The communication unit 53 is a communication interface for wired or wireless communication and performs data communication via the network N. The display unit 54 is, for example, a liquid crystal display device or an organic EL display device. The display unit 54 displays an image according to the instructions of the control unit 51. The input unit 55 is a pointing device such as a touch panel or a mouse. The input unit 55 may also include a keyboard or buttons. The input unit 55 inputs a signal to the control unit 51 in response to user operation.

[0024] [Physician terminal device] Each physician terminal device 30 may be a mobile phone (including a smartphone), a personal information terminal (including a tablet computer or wearable device), or a personal computer, similar to the operator terminal device 50. As shown in Figure 2C, the physician terminal device 30 includes, as its hardware elements, a control unit 31, a storage unit 32, a communication unit 33, a display unit 34, an input unit 35, and so on. The specific hardware elements of the control unit 31, storage unit 32, communication unit 33, display unit 34, and input unit 35 may be the same as those of the control unit 51, storage unit 52, communication unit 53, display unit 54, and input unit 55, respectively.

[0025] Each physician terminal device 30 receives various medical content related to medical care. This medical content includes, for example, information to support medical procedures performed by physicians and nurses (medical support information). Medical support information includes, for example, drug information such as dosage, efficacy, and side effects of drugs, guidelines showing recommended treatment methods, manuals defining treatment methods and procedures, and tables showing treatment standards. Treatment manuals may also include regimens that describe the types of drugs to be administered to patients and the treatment plan (dosage, administration method, frequency of administration, etc.).

[0026] Furthermore, medical content may include medical articles as medical support information. Medical articles include, for example, news articles related to medicine, informational articles about medicine, and advertisements. Advertisements are advertisements for medical products, including drugs and medical devices. Informational articles about medicine include various types of information related to medicine, such as explanatory and introductory articles on guidelines, explanatory articles on medical treatment and diseases by medical professionals, and informational articles on medical systems.

[0027] Furthermore, medical content may include, for example, medical calculation tools for evaluating the severity of a disease based on patient information. Medical calculation tools will be explained in detail later.

[0028] The distribution of medical content to the physician terminal device 30 is performed, for example, by the sales activity support device 10, but this distribution may be carried out by a device other than the sales activity support device 10.

[0029] [Screen displayed on the physician's terminal device] Figures 3A to 3C show examples of screens displayed on the display unit 34 of the physician terminal device 30. These screens are displayed, for example, when the control unit 31 executes application software (hereinafter referred to as "medical support software") installed on the physician terminal device 30.

[0030] In one example, the medical support software is transmitted from the support device 10 to the physician terminal device 30 via the network N. The medical support software may also be provided to the physician terminal device 30 via the network N from a server separate from the support device 10. In yet another example, the screens illustrated in Figures 3A to 3C may be displayed by the physician terminal device 30 accessing the support device 10 (or another server device) through a web browser installed on the physician terminal device 30. Note that these screen configurations are merely examples and may be modified as appropriate.

[0031] Figure 3A shows an example of the home screen of a service provided through medical support software or a web browser. The home screen is displayed first, for example, when a doctor launches the medical support software. Alternatively, the home screen may be the first screen displayed when the doctor's terminal device 30 accesses the support device 10 through a web browser.

[0032] [Home screen] As shown in Figure 3A, a home screen D100, for example, a timeline area R101, may be provided. The timeline area R101 may display, for example, the titles 101a to 101e of the delivered medical content. The titles 101a to 101e of the medical content may be displayed chronologically in the timeline area R101.

[0033] Furthermore, the home screen D100 may include a search box R105 for searching medical content, and menu areas R120 and R130 with buttons for moving to other screens. Menu area R120 may include, for example, a medical article button 121, a medical support information button 122, and a medical calculation tool button 123.

[0034] A physician user may bookmark medical support information and medical calculation tools that interest them. The menu area R130 may include a bookmark list button 132. When the bookmark list button 132 is selected (tapped), a list of content previously bookmarked by the physician may be displayed.

[0035] On the home screen (see Figure 3A), when a user (a doctor) selects (tap) buttons 121, 122, or 123, a list is displayed that, for example, lists the names and summaries of medical content. When the user selects one of the displayed medical content items, the content of the selected medical content is displayed.

[0036] [Support information presentation screen] Figure 3B shows an example of a screen that displays medical support information. Hereafter, this screen will be referred to as the "support information display screen." As shown in Figure 3B, in one example of the support information display screen D200, a treatment manual is displayed. The support information display screen D200 includes, for example, the name of the drug to be administered to the patient and a section for the administration plan. The administration plan section may include items such as the dosage of the drug and the duration of administration.

[0037] The home screen D100 (see Figure 3A) is provided with a medical support information button 122. When the medical support information button 122 is selected (tapped) on this home screen D100, the display screen may list multiple selectable medical support information. When the user selects (tap) one of the medical support information in the list, the selected medical support information is displayed as exemplified in Figure 3B.

[0038] Additionally, a medical article button 121 is provided on the home screen D100. When the medical article button 121 is selected (tapped) on this home screen D100, the display screen may list multiple selectable medical articles. When the user selects (tap) one of the medical articles in the list, the selected medical article is displayed.

[0039] [Medical Calculation Tool Screen] As described above, the physician terminal device 30 receives a medical calculation tool as a type of medical content. The medical calculation tool is a program that calculates information related to a patient's disease. This program receives patient information input from the medical professional's terminal device (physician terminal device 30 in Figure 1) and, for example, calculates information related to the patient's disease based on this patient information. The input patient information is information about the patient's condition and may include, for example, the patient's test results, age, weight, height, and gender. The calculated information related to the patient's disease may include, for example, the severity of the disease, an assessment value of the risk arising from the disease and treatment, and the amount of medication to be administered. The patient information does not have to include information that identifies the individual patient, such as their name. Also, the calculated information related to the patient's disease does not have to be associated with an individual patient.

[0040] Figure 3C shows an example of a screen displaying the medical calculation tool. Hereafter, this screen will be referred to as the "medical calculation tool screen." The medical calculation tool screen D300 has input areas R311 to R315 for entering patient information. The medical calculation tool screen D300 also has a result output area R317. The result output area R317 displays the results calculated by the medical calculation tool based on the entered patient information.

[0041] The home screen (Figure 3A) is provided with medical calculation tool buttons 123. When the medical calculation tool buttons 123 are selected (tapped) on this home screen, the display screen may list multiple selectable medical calculation tools. When the user selects (tap) one of the medical calculation tools in the list, the selected medical calculation tool is displayed as exemplified in Figure 3C.

[0042] [Overview of the Sales Activity Support System] This disclosure outlines the support system 100 proposed in this disclosure. Figure 4 is a sequence diagram showing the flow of processing performed by the support system 100.

[0043] A healthcare professional (e.g., a doctor) uses medical content on the physician terminal device 30 (S101). For example, if the medical content is medical support information (such as guidelines or medical articles), using the medical content means viewing them. If the medical content is a medical calculation tool, using the medical content means inputting patient information into the tool or obtaining output from the tool. Using the medical content may also include bookmarking the medical content.

[0044] When a physician uses medical content on the physician terminal device 30, the physician terminal device 30 transmits the usage history to the sales activity support device 10 (S102). The usage history includes, for example, the physician's identification information (healthcare professional ID), information identifying the medical content used (medical content ID), and the date and time of use (operation). When the support device 10 receives the usage history, it updates the database that stores the usage history (the usage history database described later (see Figure 9)) (S103). Each time a physician uses medical content, the physician terminal device 30 and the support device 10 repeatedly execute processes S102 and S103. Multiple physician terminal devices 30 are connected to the support device 10 via the network N. The support device 10 stores the usage history of medical content for each of the multiple physicians.

[0045] [Sales activity support information and prompts] The support device 10 generates a prompt requesting the generation system G1 to generate sales activity support information (S104). Sales activity support information is information indicating whether each physician is suitable as a target for the medical product (in the example described in this disclosure, a drug) that the salesperson intends to sell. The sales activity support information may, for example, indicate a rank representing the suitability (priority as a target) of each physician as a target for sales, or it may be a list of physicians who are deemed suitable.

[0046] The prompts generated by the support device 10 include information about the business operator's medical products (e.g., drugs). Hereinafter, this information will be referred to as "medical product information." The medical product information includes text information (descriptions, keywords, etc.) that describes the characteristics of the drug. Drug characteristics include one or more of the diseases to which the drug is applied, symptoms, action, effect, ingredients, dosage form, and characteristics of the patients to whom it is applied (age, weight, etc.). The medical product information may also include text information (descriptions, keywords, etc.) that describes the profile of a physician who may be likely to use the drug. This text information may include, for example, "a physician who treats patients with XX disease" or "a physician who researches XX disease."

[0047] Furthermore, the prompts generated by the support device 10 include, in addition to medical product information, information on potential sales targets among healthcare professionals (in the support system 100, "physicians"). Hereafter, this information will be referred to as "healthcare professional information." Healthcare professional information consists of information about each of several physicians. An example of healthcare professional information is that it includes, for example, the physician's attributes (specialty field, affiliated academic societies, medical experience, etc.).

[0048] As described above, in the support system 100, the usage history of medical content by physicians is transmitted from each physician terminal device 30. The medical professional information included in the prompt includes information obtained from the usage history of medical content related to drugs corresponding to medical product information. The information obtained from the usage history may be, for example, the usage level of the medical content (number of uses within a predetermined period, or a rank according to the number of uses).

[0049] The "medical content related to drugs" mentioned above refers, for example, to medical support information that explains one or more of the diseases, symptoms, effects, and side effects of the drug corresponding to the medical product information that the drug can be applied to. Furthermore, "medical content related to drugs" may also be medical support information about other drugs applicable to the treatment of diseases to which the drug corresponding to the medical product information can be applied. In addition, "medical content related to drugs" may be a medical calculation tool used in the treatment of diseases to which the drug corresponding to the medical product information can be applied. For example, it may be a medical calculation tool that calculates the severity of a disease to which the drug corresponding to the medical product information can be applied, or the dosage of other drugs available for the treatment of the same disease.

[0050] The prompts generated by the support device 10 include, as medical professional information, information (e.g., a table) that associates information identifying each physician (healthcare professional ID) with at least one of the physician's attribute information and information obtained from the physician's usage history.

[0051] Figure 5A shows an example of a prompt. The prompt shown in this figure includes medical product information such as "Drug Name: AAA Drug" and the characteristic of the drug, "Relieves XX symptoms seen in XX disease." This prompt also includes a table of healthcare professional information. In this table, the physician's specialty, the usage history (usage rate) of medical content A related to AAA Drug, and the usage history (usage rate) of medical content B related to AAA Drug are associated with each healthcare professional ID. The healthcare professional ID may include, for example, a physician's ID.

[0052] Furthermore, prompts may include explanations (situational information) that indicate the role of the person giving the prompt (the person inputting the prompt) and the situation in which the person giving the prompt is located. In the example shown in Figure 5A, the prompt includes such an explanation: "You are a Medical Representative (MR). You want to provide a physician with information related to the following medication."

[0053] Furthermore, this prompt includes instructions that require the generation of sales activity support information based on medical product information and healthcare professional information. Specifically, the instructions for generation system G1 include, "For each of the physicians in the following table, please rate their suitability as a sales target on a three-point scale."

[0054] The instructions included in the prompt are not limited to the examples shown in Figure 5A. The instructions may, for example, request the reasons for the evaluation of the physician, or request the content of the explanation given to the physician regarding the drug corresponding to the medical product information. These instructions will be explained in detail later.

[0055] The support device 10 may have a pre-prepared list of candidate instruction statements to be included in the prompt. The support device 10 may then add an instruction statement selected from these candidates to the prompt. Such selection of instruction statements may be made, for example, by the salesperson. That is, the support device 10 may select an instruction statement to add to the prompt from multiple candidates in accordance with the instructions input from the salesperson terminal device 50. As another example, a template combining these multiple instruction statements may be pre-prepared. The support device 10 may then select a template to use as a prompt from multiple candidates in accordance with the instructions input from the salesperson terminal device 50.

[0056] The support device 10 transmits the prompt generated in S104 to the generation system G1 (S105). The generation and transmission of the prompt may be performed in response to instructions from the business operator, or at a predetermined timing (date and time, frequency).

[0057] The generation system G1 generates a response (sales activity support information) based on the received prompt (S106) and transmits it to the support device 10 (S107). As an example of sales activity support information for a prompt as illustrated in Figure 5A, information including the degree of suitability as a target for sales of AAA drugs is generated for each physician included in the medical professional information (table). The support device 10 stores the received sales activity support information in a database configured by the storage unit 12 (S108).

[0058] Subsequently, the support device 10 provides the received sales activity support information to the salesperson. That is, the support device 10 transmits the sales activity support information to one or more salesperson terminal devices 50 (S109). The sales activity support information transmitted by the support device 10 here may be the same as the sales activity support information received by the support device 10 in S107.

[0059] In contrast, the sales activity support information transmitted to the sales terminal device 50 may be the sales activity support information received by the support device 10 in S107 with adjustments made. For example, other information may be added to the sales activity support information received by the support device 10 from the generation system G1. Alternatively, a portion of the sales activity support information received by the support device 10 from the generation system G1 may be extracted, and the result may be transmitted to the sales terminal device 50.

[0060] Figure 5B shows an example of sales activity support information to be transmitted to the salesperson terminal device 50. For example, in the example shown in Figure 5B, each medical professional ID is assigned a rank (1, 2, or 3) indicating its suitability as a sales target, in accordance with the prompt (instruction) shown in Figure 5A. In addition, in the example shown in Figure 5B, the name of each doctor, their affiliated institution, and their working days are also added. Sales activity support information including such additional information may be transmitted to the salesperson terminal device 50.

[0061] As shown in Figure 5A, the healthcare professional information added to the prompt includes the usage rate of medical content A and B related to the AAA drug that the salesperson wants to sell. Physicians who use this content frequently are considered highly suitable as sales targets for the AAA drug. Conversely, physicians who use medical content A and B infrequently are considered unsuitable as sales targets. Salespeople seeking to sell the AAA drug can easily identify physicians who are highly suitable (prioritized) as sales targets by referring to sales activity support information that includes this kind of information.

[0062] Furthermore, each physician terminal device 30 transmits usage history to the support device 10 in response to the physician's use of medical content, or more specifically, each time the physician uses medical content. As a result, timely information about each physician's interests and concerns can be included in the prompts as medical professional information. Consequently, sales representatives can conduct sales activities while referring to sales activity support information that reflects timely information.

[0063] Furthermore, the healthcare professional information added to the prompt shown in Figure 5A includes usage history for multiple medical content A and B. Therefore, the business operator can obtain sales activity support information that comprehensively reflects the usage history of these multiple medical content A and B.

[0064] The healthcare professional information added to the prompt shown in Figure 5A includes the physician's attribute information (specifically, their area of ​​expertise). Therefore, sales activity support information is obtained that comprehensively reflects this attribute information and the usage history of medical content A and B.

[0065] Furthermore, the large-scale language model M1 is used to generate sales activity support information. Therefore, compared to, for example, building a system that calculates sales activity support information using pre-set rules or calculations, it is possible to easily obtain sales activity support information that comprehensively reflects multiple elements. In addition, the operator of the support device 10 can obtain the necessary information (sales activity support information) without directly accessing the usage history of each physician.

[0066] In the example shown in Figure 4, sales activity support information is obtained through process P1 from S104 to S109. This process P1 may be executed at multiple points in time that are separated. For example, at a first point in time (e.g., the end of August), the support device 10 generates a prompt based on the usage history of medical content A and B during a first period (e.g., throughout August) and provides the salesperson with sales activity support information generated based on this prompt. Subsequently, at a second point in time after the first point in time (e.g., the end of September), the support device 10 may generate a prompt based on the usage history of medical content A and B during a second period that includes the period after the first period (e.g., throughout September) and provide the salesperson with sales activity support information generated based on this prompt.

[0067] This process allows salespeople to understand how each physician's suitability (priority) as a target for their services changes over time. As a result, salespeople can conduct their sales activities at a more appropriate time.

[0068] Furthermore, the support device 10 may perform the same processing at a third time point following the second time point. In this case, prompt generation and acquisition of sales activity support information (i.e., process P1) are performed, for example, periodically (i.e., at regular time intervals). In contrast, these time intervals do not necessarily have to be constant. That is, the interval between the first time point and the second time point and the interval between the second time point and the third time point do not have to be the same.

[0069] [Functions of the sales activity support system] Figure 6 is a block diagram showing an example of the functions implemented by the sales activity support system 100. Below, the functions of the support device 10, the salesperson terminal device 50, and the physician terminal device 30 will be described.

[0070] As shown in Figure 6, the support device 10 has a database group 20 as one of its functions. The database group 20 is realized when the control unit 11, including the CPU, operates according to a program and stores data in the storage unit 12. The database group 20 includes, for example, a medical professional database 21, a medical content database 22, a usage history database 23, a medical product database 24, an instruction database 25, a prompt generation rule database 26, a supporting document database 27, and a support information database 28.

[0071] Furthermore, the support device 10 has the following functions: a usage history receiving unit 11A, a prompt generation unit 11B, a usage evaluation unit 11C, a medical professional information selection unit 11D, a prompt transmission unit 11E, a support information provision unit 11F, a response receiving unit 11G, and a prompt generation rule receiving unit 11H. These functions are realized, for example, by the control unit 11 operating according to a program stored in the storage unit 12 and controlling other hardware elements (for example, the communication unit 13).

[0072] Furthermore, some of these functions (including the database group) may be executed in the physician terminal device 30 or the business operator terminal device 50. These functions may also be realized through cooperation between the physician terminal device 30 or the business operator terminal device 50 and the support device 10. For example, the processing of the prompt generation unit 11B and the prompt transmission unit 11E, which will be described later, may be executed in the business operator terminal device 50.

[0073] [Healthcare Professionals Database] The healthcare professional database (DB) 21 is a database that stores information about healthcare professionals (e.g., physicians). In this specification, healthcare professional information includes identification information assigned to healthcare professionals (healthcare professional ID) and attribute information of healthcare professionals. Attribute information includes the physician's specialty, affiliated institution (hospital name, medical department), affiliated academic societies, work region, and medical history (years of experience as a physician). Healthcare professional information may also include information about healthcare professionals obtained by the business operator in the course of past business activities (business-obtained information).

[0074] Furthermore, the healthcare professional information includes information related to operations performed by healthcare professionals on the physician terminal device 30 (healthcare professional action information). Healthcare professional action information includes, for example, the healthcare professional's usage history of medical content (viewing medical support information or using medical calculation tools) and information obtained from the usage history (for example, evaluations based on frequency of use). Healthcare professional action information may also include responses to questionnaires conducted through the physician terminal device 30.

[0075] The healthcare professional database 21 primarily stores attribute information of healthcare professionals. As will be described later, the usage history of medical content is stored in the usage history database 23.

[0076] Figure 7A shows an example of data stored in the healthcare professional database 21. As shown in the figure, the healthcare professional database 21 associates healthcare professional IDs with attribute information for each healthcare professional. As mentioned above, the attribute information of healthcare professionals includes, for example, the name of the healthcare professional, the doctor's specialty, work area, medical history, the doctor's affiliated organization, affiliated academic societies, address, and contact information (email address). This information may be information transmitted from the doctor terminal device 30 to the support device 10. The prompt generation unit 11B selects healthcare professional information to add to the prompt (see Figure 5A) from this information.

[0077] As shown in Figure 7B, the healthcare professional database 21 may store not only physician attribute information but also information on responses to past questionnaires given to each physician. The questionnaire response information may include, for example, information indicating interest in a particular treatment method, medication, or disease. The questionnaire response information may also be information transmitted from the physician terminal device 30 to the support device 10. For example, the support device 10 may send a questionnaire to the physician terminal device 30, and the information may be obtained from the response. The prompt generation unit 11B may select healthcare professional information to add to the prompt from this information (see Figure 5A).

[0078] Furthermore, the healthcare professional database 21 may also include information obtained during past sales activities (sales-obtained information). Such sales-obtained information may include, for example, the working hours within the organization, the position within that organization, and the sales history of each physician by the salesperson (sales history information), as shown in Figure 7B. Sales history information may include records related to sales, such as who made the sales, when the sales were made, the results of the sales, and minutes of the sales meeting. In contrast, sales-obtained information may also include information from questionnaires that salespeople (such as pharmaceutical sales representatives or pharmaceutical manufacturers) have answered with physicians during their sales activities. The prompt generation unit 11B may select healthcare professional information to add to the prompt from this information (see Figure 5A).

[0079] [Medical Content Database] The medical content database (DB) 22 is a database that stores information about the content of medical content (content description information). Figure 8 is a diagram illustrating an example of the information contained in the medical content DB 22. As shown in this diagram, in the medical content DB 22, content description information is associated with the identification information (content ID) assigned to each medical content.

[0080] An example of content description information may be keywords related to the medical content. If the medical content is medical support information (see Figure 3B), the related keywords may be diseases to which the content of this medical support information can be applied, or treatment methods explained in the medical support information. If the medical content is a medical calculation tool (see Figure 3C), the related keywords may be diseases to which medical treatment can be performed using this calculation tool, or treatment methods. Furthermore, as shown in Figure 8, the content description information may be a descriptive text (summary) that explains / summarizes the content of the medical content, or the title of the medical content.

[0081] Such content description information may also be sent to the generation system G1 along with the prompt. That is, content description information may be sent to the generation system G1 as information that explains the medical content (medical content A and B in the example of Figure 5A) to which the physician's usage rate has been added to the prompt. This description information may also be added to the prompt itself.

[0082] Furthermore, in the medical content DB22, as shown in Figure 8, the type of medical content (for example, medical support information versus medical calculation tools) may be associated with the content ID.

[0083] In the medical content DB22, the content itself may be associated with a content ID. The content itself may be, for example, the medical support information itself (text data). In this case, the content itself may be sent to the generation system G1 as information that describes the medical content to which the physician's usage rate has been added as a prompt (medical content A and B in the example in Figure 5A).

[0084] [Usage History Receiving Unit / Usage History Database] The usage history receiving unit 11A receives the usage history of medical content from multiple physician terminal devices 30, each used by multiple physicians. The usage history receiving unit 11A stores the received usage history in the usage history database (DB) 23. This usage history is also added to the prompt as a type of medical professional information. The usage history DB 23 stores the usage history for each of the multiple physicians. Figure 9 is a diagram illustrating an example of the usage history DB 23. As shown in Figure 9, the usage history of each medical content is recorded in the content ID in the usage history DB 23.

[0085] The usage history of medical content includes information about the date and time of use. If the medical content is medical support information (see Figure 3B), the usage history is a history of operations performed to view the medical support information. An operation to view medical support information may be, for example, an operation in which a physician selects the medical support information they wish to view from among multiple medical support information provided by the physician terminal device 30.

[0086] As shown in Figure 9, the usage history DB23 may include the start date and time of use and the end date and time of use as its items. The start date and time of use of medical support information may be the start date and time of viewing (the date and time when the medical support information was selected). The end date and time of use of medical support information may be the date and time when viewing ended (the date and time when the display of the medical support information ended). In addition, the usage history of medical support information may include the viewing speed. The viewing speed may be calculated, for example, based on the difference between the start date and time of use and the end date and time of use.

[0087] If the medical content is a medical calculation tool, using the medical calculation tool means, for example, opening the medical calculation tool screen D300 (see Figure 3C) (i.e., accessing the medical calculation tool). Alternatively, using the medical calculation tool may also mean entering patient information into the medical calculation tool screen D300 and obtaining the calculation results.

[0088] In the usage history DB23 illustrated in Figure 9, the start and end dates and times of use are also recorded for the medical calculation tool. The start date and time of use of the medical calculation tool is, for example, the date and time when the medical calculation tool screen D300 was opened. The end date and time of use of the medical calculation tool may be the date and time when the medical calculation tool screen D300 was closed. The usage history of the medical calculation tool may also include the calculation results of the medical calculation tool and / or the input information to the medical calculation tool (patient information entered in input areas R311 to R315 of the medical calculation tool screen D300).

[0089] Furthermore, the usage history of medical content included in the prompt may include calculation results and input information from such medical calculation tools. This allows for a more appropriate evaluation of each physician's suitability as a sales target, providing information to support sales activities.

[0090] [Medical Product Database] The medical product database (DB) 24 is a database containing information on drugs that a salesperson wants to sell. This medical product information is added to the prompt (see Figure 5A).

[0091] Figure 10 is a diagram illustrating an example of the information contained in the Medical Product DB24. In the Medical Product DB24, the medical product information for each drug is associated with the identification information (medical product ID) assigned to each drug. The medical product information includes, for example, the drug name and the pharmaceutical manufacturer. The medical product information may also include a drug description (drug description in Figure 10). The drug description is text information that explains the characteristics of the drug, such as its effects, target diseases, target symptoms, target patient test values, and available therapies.

[0092] Medical product information may include, in addition to or instead of, a description of the drug, keywords related to the drug (relevant keywords in the example in Figure 10). Relevant keywords may be the names of diseases to which the drug is applicable or the names of treatment methods.

[0093] Furthermore, the medical product information may include a description of a physician who is presumed to be interested in using the drug (in Figure 10, the "Target Physician Description"). As will be explained later, these drug descriptions, related keywords, and target physician descriptions are added to the prompt as medical product information.

[0094] [Instruction Database] The instruction database (DB) 25 is a database that stores candidate instructions to be added to the prompt. The prompt generation unit 11B, described later, selects one or more instructions from multiple candidates and generates a prompt that includes the selected instructions.

[0095] Sales activity support information includes information related to the evaluation of healthcare professional information (a list of physicians who are potential sales targets) added to the prompt. Hereinafter, this information will be referred to as "healthcare professional evaluation information." This healthcare professional evaluation information includes information indicating which of the multiple physicians included in the healthcare professional information added to the prompt are suitable as sales targets. To obtain such information, the prompt includes instructions requesting that the suitability of each physician as a sales target be evaluated based on the medical product information and healthcare professional information, and that the evaluation results be presented.

[0096] The prompt may also include instructions requesting the reasons for the evaluation of each physician. The reasons for the evaluation may be the results of an assessment of the likelihood of the physician's interest in diseases related to the medical product (e.g., drugs) and / or areas related to the medical product (e.g., "high likelihood of interest in XX disease"). The prompt may also include instructions requesting the generation system G1 to output such reasons for the evaluation based on the healthcare professional information.

[0097] In the following, information indicating the suitability of a physician as a target for sales will be referred to as "suitability evaluation information," and the reasons for the evaluation will be referred to as "evaluation reason information." Sales activity support information may also include sales action information that guides and proposes actions taken by salespeople as part of their sales activities, as will be described later. Here, sales action information includes, for example, the content of explanations given by salespeople to physicians.

[0098] An example of instructions for obtaining suitability assessment information is to assign a suitability rating to each physician as a target for sales, and to require the sales activity support information to display that rating (evaluation result). Here, the rating may be, for example, a discretely defined rank (such as a 3-level or 4-level rank) or a non-discretely assigned score (a continuously changing score). In this case, the instructions may, for example, assign a rank to each physician according to their suitability as a target for sales, and require the sales activity support information to display that rank. Alternatively, the instructions may also require assigning a score to each physician according to their suitability as a target for sales, and require the sales activity support information to display that score.

[0099] As shown in Figure 11, the instruction DB25 contains the following instruction as a candidate: "Please evaluate the suitability of each physician in the following table as a target for sales on a three-point scale" (ID: S001). Note that "table" in this instruction refers to information on healthcare professionals.

[0100] It is not required to assign an evaluation level (rank or score) to each physician. Instruction DB25 may include, for example, instructions that request the extraction of physicians who are suitable to be targeted for sales, based on the evaluation results of each physician (indicated as "ID:S002" in Figure 11).

[0101] Furthermore, as mentioned above, the sales activity support (healthcare professional evaluation information) may include evaluation reason information that shows the reasons for the evaluation of each physician. To obtain this information, the prompt may include an instruction requesting that the reasons for the evaluation of each physician be shown. The instruction DB25 may store as a candidate such instruction, "Please explain the reasons for the evaluation of each physician." (ID:S011 in Figure 11). When such an instruction is selected, for example, for physicians who are evaluated as suitable as sales targets, i.e., physicians who are evaluated as having high priority, the evaluation reason information will show reasons such as "They may have a high level of interest in XX disease related to sales activities."

[0102] As mentioned above, sales activity support may include sales action information that guides and suggests actions for salespeople. An example of sales action information is the content of explanations given by salespeople to physicians, in other words, the information that should be presented to physicians during sales activities. Hereafter, this content of explanation will be referred to as "explanation content guidance information." To obtain explanation content guidance information, prompts may include instructional statements that request the content of the explanation about the drug to be given to physicians during sales activities. Instructional statement DB25 may store as an example of such instructional statements, "Please indicate what kind of explanation is appropriate to give to each physician." (ID:S021 in Figure 11).

[0103] In pharmaceutical sales activities, supporting materials are generally used, such as clinical trial results, research papers, and documents used to obtain regulatory approval (hereinafter referred to as "supporting materials"). The information guiding the explanation may include such supporting materials themselves or their location. In this case, the prompt may include instructions requesting the presentation of such supporting materials. Instruction DB25 may store as a candidate for such instructions the following: "Please indicate what kind of explanation is appropriate to give to each physician. Also, please provide the supporting materials." (ID:S022 in Figure 11).

[0104] When such a request is made, a database containing supporting documents (for example, the supporting document database 27 described later) may be connected to the generation system G1. The supporting document database 27 provides the generation system G1 with the information stored in it (the supporting documents themselves and the location of the supporting documents). For example, the supporting document database 27 may send information related to medical products (the supporting documents themselves and the location of the supporting documents) to the generation system G1, or it may send information to the generation system G1 in response to a request from the generation system G1. Alternatively, such supporting documents may be input and stored in the generation system G1.

[0105] Figure 12 shows an example of sales activity support information obtained when a prompt containing the above-mentioned instruction is generated. As shown in the figure, this sales activity support information indicates a rank (numbers 3, 2, and 1, the suitability evaluation information mentioned above) for each physician according to their suitability as a sales target. This sales activity support information also indicates the reason for the evaluation (the evaluation reason information mentioned above). For example, for physician "ID:MD001", the reason given is "because there is a high possibility of interest in XX disease and XX field". Furthermore, for physicians who are evaluated as suitable as sales targets (physicians assigned suitability ranks 3 and 2), this sales activity support information also shows an example of the content of the drug explanation during sales activities (explanation content guidance information). In addition, supporting documents are also shown for the content of the explanation.

[0106] Pharmaceutical sales representatives (MRs) are often assigned specific territories. The prompt may include instructions requiring the sales representative to evaluate the suitability of the product as a target market based on the relationship between the region in which they plan to conduct sales activities and the region in which physicians practice medicine. In other words, it may include instructions requiring the sales representative to output the aforementioned suitability evaluation information based on the relationship between the region in which they plan to conduct sales activities and the region in which physicians practice medicine.

[0107] The instruction DB25 may store, as a candidate for such an instruction, "The area you are responsible for is ○○○. Please evaluate the suitability of each physician as a sales target, taking into account the area you are responsible for and the area where the physician is practicing medicine." The prompt generation unit 11B adds the actual area name to "○○○" in this candidate, for example, based on information input from the salesperson (information received from the salesperson terminal device 50). By including such an instruction in the prompt, the suitability of physicians working in the area responsible for the salesperson can be highly evaluated.

[0108] A prompt may include information (medical product information) about multiple drugs (medical products). Furthermore, a prompt may include instructions requesting the generation of information (healthcare professional evaluation information) regarding whether a physician is suitable as a target market for each of the multiple drugs. For example, a prompt may include medical product information for a first drug and medical product information for a second drug. In this case, the instructions may request suitability evaluation information indicating whether a physician is suitable as a target market for the first drug and for the second drug. More specifically, these instructions may request that the suitability of each physician for the first drug be evaluated and the evaluation results be shown, and that the suitability of each physician for the second drug be evaluated and the evaluation results be shown. By referring to the suitability evaluation information obtained in response to such a prompt, the salesperson can determine which drug is appropriate for each physician to market.

[0109] The instruction DB25 may store the following as a candidate instruction for use in such cases: "For each of the physicians in the following table, please evaluate their suitability as a target for sales on a three-point scale. This evaluation should be performed for both "Drug Name: ○○○" and "Drug Name: ○○○." The prompt generation unit 11B, for example, refers to the prompt generation rule database 26 (described later) and adds a specific drug name to "○○○" in this candidate.

[0110] Sales action information, an element of sales activity support, may include information about when sales activities should be conducted with physicians. Hereinafter, this information will be referred to as sales timing information. To obtain this sales timing information, prompts may include instructions requesting information about when sales activities should be conducted with physicians. In other words, instructions may mention when sales activities should be conducted with physicians. Instruction DB25 may store, as an example of such instructions, "Please indicate physicians who are suitable to be approached within one week." (ID:S031 in Figure 11). Instruction DB25 may also store, as another example of such instructions, "Please indicate physicians who are suitable to be approached within one week, physicians who are suitable to be approached within one month, and physicians who are suitable to be approached within three months." (ID:S032 in Figure 11). As yet another example, an example of an instruction may include, "Please indicate by when it is appropriate to conduct sales activities with each physician."

[0111] The sales action information requested in the prompt may include information about the locations (e.g., hospital facilities) where sales activities should be conducted with physicians. Hereafter, this information will be referred to as sales location information. To obtain this sales location information, the prompt may include a directive requesting information about the locations where sales activities should be conducted with physicians. The directive DB25 may store, as an example of such a directive, "Please indicate the facilities where sales activities should be conducted with each physician." A single physician may work at multiple institutions. In such cases, facilities suitable for salespeople to conduct sales activities with that physician may be output as sales location information.

[0112] The prompt may include medical product information for multiple types of medical products. For example, information about numerous drugs sold by a pharmaceutical manufacturer or numerous drugs handled by a single medical representative (e.g., a list of medical products) may be added to the prompt as medical product information. In this case, the sales action information may indicate which medical products are suitable for sales activities to be conducted for each physician. Hereafter, this information will be referred to as sales target product information. In this case, the instruction may request information indicating which medical products are appropriate to sell to each physician (i.e., sales target product information). By referring to the sales activity support information (sales target product information) obtained in response to such a prompt, the salesperson will be able to understand which drugs are appropriate for sales activities to be conducted for each physician.

[0113] The sales action information requested in the prompt may include information about the channels through which sales activities should be conducted with physicians (contact channels). A contact channel is a channel used by a salesperson to provide physicians with information about medical products, and includes, for example, email, notifications via medical support software used on the physician terminal device 30, online meetings, and face-to-face meetings (visits). In this case, the instruction may include a request such as, "Please select a suitable channel for contacting physicians from the following: email, medical support software, online meetings, and in-person sales visits."

[0114] As mentioned above, the healthcare professional database 21 (see Figure 7B) includes sales information obtained from past sales activities as healthcare professional information. Such sales information includes responses to questionnaires that salespeople (such as pharmaceutical sales representatives or pharmaceutical manufacturers) have given to physicians during their sales activities. The questionnaire responses may include information on the physician's preferred channel (email, in-person sales, etc.). The sales information may also include historical information on past sales activities conducted by salespeople, such as whether in-person sales are undesirable for a particular physician. If the sales information is as described above, the prompt may include this sales information as healthcare professional information. The instruction may then include a request such as, "Refer to the sales information and select the most suitable channel for contacting physicians from email, medical support software, online meetings, and in-person sales."

[0115] When such a prompt is sent to the generation system G1, information indicating which channel is preferred for each physician may be output from the generation system G1 as sales action information. For example, if the questionnaire response indicates a preference for online responses, or if there is a record in the past sales activity history that "visiting sales representatives are not desired," then the sales action information may recommend contact via online meeting. Also, if the questionnaire response indicates a preference for receiving information via email, then the sales action information may recommend contact via email (providing information about medical products via email). Furthermore, if the physician frequently uses medical support software, then the sales action information may recommend contact via medical support software (notification of announcements) rather than email.

[0116] [Prompt Generation Unit / Prompt Generation Rule Database] The prompt generation unit 11B generates a prompt. The prompt includes (1) information on a medical product (in this embodiment, a drug) that the salesperson wants to sell (medical product information), (2) information on several doctors who are candidates for sales activities (for example, candidates for visits) (healthcare professional information), and (3) an instruction statement requesting the generation of sales activity support information based on these.

[0117] The prompt generation rule database (DB) 26 may indicate the drug corresponding to the medical product information to be added to the prompt, the items of medical professional information (specialty field, medical content, etc.), and the type of instruction statement. The prompt generation unit 11B may generate prompts by referring to the prompt generation rule DB 26, for example. Figure 13 shows an example of the prompt generation rule DB 26. In the prompt generation rule DB 26, a prompt generation rule is associated with the identification information (prompt ID) assigned to each prompt.

[0118] As shown in Figure 13, the prompt generation rule identifies the drug to which medical product information will be added to the prompt. Specifically, the medical product ID is associated with the prompt ID. The prompt generation rule also identifies the type of medical product information to be added to the prompt. As mentioned above, medical product information may consist of multiple types (items), such as drug descriptions, related keywords, and target physician descriptions. For example, the prompt generation rule may associate one or more of the drug description, related keywords, and target physician descriptions with the prompt ID. The prompt generation unit 11B adds the medical product information of the type (item) identified by the prompt generation rule to the prompt.

[0119] For example, the prompt defined as "ID:P001" in Figure 13 will have the drug description for "Medical Product ID:K001" added as medical product information. Similarly, the prompt defined as "ID:P023" will have the drug information for "Medical Product ID:K009" (specifically, the target physician's description and related keywords) added as medical product information.

[0120] Furthermore, the prompt generation rules may specify multiple types of drugs as those to which medical product information is added to the prompt. This allows for obtaining information indicating the suitability of a physician as a target market (suitability assessment information, which is an element of sales activity support information) for each of the multiple drugs.

[0121] Furthermore, as shown in Figure 13, the prompt generation rule may identify medical content related to the drug that the salesperson intends to sell. Specifically, the prompt ID may be associated with the ID of this related medical content. The prompt generation unit 11B adds information obtained from the usage history of the medical content identified by the prompt generation rule to the prompt as an element of the healthcare professional information.

[0122] Referring to Figure 13, for example, the prompt "ID:P001" includes information obtained from each physician's usage history (browsing history) of the medical support information "ID:D021" and information obtained from each physician's usage history of the medical calculation tool "ID:D011" as elements of the medical professional information.

[0123] Here, "information obtained from usage history" refers to information that evaluates the degree of use of medical content (usage evaluation information). This information may be calculated, for example, based on the number of uses calculated from the usage history, or the frequency of use (number of uses within a specified period).

[0124] [Usage Evaluation Department] The prompt generation unit 11B includes a usage evaluation unit 11C (see Figure 6). The usage evaluation unit 11C calculates usage evaluation information based on the usage history of medical content related to the drug that the business operator intends to sell, i.e., the usage history of the medical content selected in the prompt generation rules. The prompt generation unit 11B then adds this usage evaluation information to the prompt as an element of the healthcare professional information.

[0125] The usage evaluation unit 11C aggregates, for example, the number of times medical content is used (number of times medical support information is viewed or calculations are performed using medical calculation tools) and calculates usage evaluation information based on the aggregated results. For example, the usage evaluation unit 11C aggregates the number of uses over a predetermined period (for example, one week or one month) and calculates usage evaluation information based on the aggregated results. For example, the usage evaluation unit 11C assigns a rank to each physician according to the aggregated results and uses that result as usage evaluation information. Alternatively, the usage evaluation information may assign points to each physician according to the aggregated results and use that result as usage evaluation information.

[0126] As shown in Figure 13, the prompt generation rule may also specify a "period for referring to usage history." The usage evaluation unit 11C may aggregate the number of uses, etc., during the period specified here and calculate usage evaluation information (rank) based on the aggregation results.

[0127] Figure 14 illustrates an example of healthcare professional information added to a prompt. The healthcare professional information shown in this figure includes, as an element, each physician's usage evaluation information (rank) for the first medical content. This healthcare professional information also includes, as another element, each physician's usage evaluation information (rank) for the second medical content.

[0128] Furthermore, the usage evaluation information does not have to be a rank calculated based on the number of uses. For example, the usage evaluation information may be calculated based on the speed at which medical support information is viewed. The viewing speed can be calculated, for example, based on the difference between the start date and time and the end date and time of use recorded in the usage history DB23. The usage evaluation information may be calculated based on this viewing speed and the viewing date. For example, the closer the viewing date, the higher the evaluation score (rank or score), while the faster the viewing speed, the lower the evaluation score (rank or score). This allows for a higher evaluation of the suitability of physicians who are presumed to have carefully read the medical support information. Also, the closer the viewing date, the higher the evaluation of the physician's suitability.

[0129] [Select healthcare professional information to include in the prompt] As shown in Figure 14, the medical professional information added to the prompt may include not only medical content usage evaluation information but also physician attribute information such as specialty, work area, and medical history. The prompt generation unit 11B has a medical professional information selection unit 11D. The medical professional information selection unit 11D extracts attribute information to be added to the prompt as medical professional information from the attribute information of each physician stored in the medical professional DB 21 (Figures 7A and 7B).

[0130] As shown in Figure 13, the prompt generation rule DB26 defines the types of attribute information that should be added to the prompt. For example, for the prompt "ID:P001", "specialty field", "medical experience", and "work location" are set as attribute information that should be added to the prompt. The medical professional information selection unit 11D refers to the prompt generation rule DB26, for example, and extracts attribute information (specialty field, medical experience, and work location) from the medical professional DB21 according to the prompt generation rules defined there, and generates medical professional information (see Figure 14) that includes these as elements.

[0131] As described above, the healthcare professional database 21 (see Figure 7B) may store the questionnaire responses from each physician. In this case, the healthcare professional information selection unit 11D may extract the questionnaire response information from the healthcare professional database 21 and use this as an element of the healthcare professional information.

[0132] As shown in Figure 13, the prompt generation rule DB26 specifies the types of questionnaires to which response information should be added to the prompt. For example, for the prompt "ID:P001", "Questionnaire A on XX Therapy" is set as the type of questionnaire to which response information should be added to the prompt. The healthcare professional information selection unit 11D refers to such a prompt generation rule DB26, extracts response information from the healthcare professional DB21 according to the prompt generation rules defined therein, and generates healthcare professional information that includes this information as an element (see Figure 14).

[0133] As described above, the support device 10 has an instruction DB 25 (see Figure 11) in which candidate instruction statements are stored. As shown in Figure 13, the prompt generation rule DB 26 may specify the instruction statements to be added to the prompt. For example, for the prompt "ID:P001", "ID:S001" and "ID:S011" are set as instruction statements. The prompt generation unit 11B refers to the prompt generation rule DB 26, for example, and selects an instruction statement from the instruction DB 25 according to the prompt generation rule. Then, the prompt generation unit 11B adds the selected instruction statement to the prompt.

[0134] Note that the method for generating the instruction text included in the prompt is not limited to the example described here. For example, the support device 10 may receive an instruction text from the salesperson terminal device 50. The received instruction text may then be added to the prompt. The salesperson may input the instruction text through the input unit 55 (keyboard or touchpad) of the salesperson terminal device 50, or select an instruction text from multiple candidates.

[0135] As shown in Figure 13, the prompt generation rule may include "candidate physician extraction conditions" as one of its items. The prompt generation unit 11B may extract medical professional information (attribute information, questionnaire responses, etc.) of physicians who meet these conditions from the medical professional DB 21, or it may refer to the usage history of medical content by physicians who meet these conditions and calculate usage evaluation information. The prompt generation unit 11B may also use the obtained information as medical professional information to be added to the prompt.

[0136] For example, for the prompt "ID:P023" shown in Figure 13, "working in Tokyo" is set as the "candidate physician extraction condition." In this case, the prompt generation unit 11B refers to the medical professional database 21 and extracts attribute information of physicians whose "working area" is "within Tokyo." The extracted physician attribute information is then used as an element of the medical professional information to be added to the prompt. Alternatively, the usage evaluation unit 11C may refer to the usage history database 23 and calculate usage evaluation information (for example, a rank according to the degree of usage) based on the usage history of physicians whose "working area" is within Tokyo. This usage evaluation information is then used as an element of the medical professional information to be added to the prompt. This type of processing can reduce the amount of data input to the generation system G1. Note that the "candidate physician extraction condition" may also be a condition related to the specialty field.

[0137] Furthermore, the prompt generation rule may have a pre-selected list of physicians set as the "candidate physician extraction criteria." That is, a list of physicians targeted by a salesperson (pharmaceutical manufacturer or MR) for sales activities (for example, a list of physicians in the XX region) may be provided in the database group 20. Then, the prompt generation rule may associate this list with the "candidate physician extraction criteria." In this case, the prompt generation unit 11B may extract medical professional information (attribute information, questionnaire responses, etc.) of the physicians in this list from the medical professional DB 21, or it may refer to the usage history of medical content by the physicians in this list and calculate usage evaluation information. The prompt generation unit 11B may use the obtained information as medical professional information to add to the prompt.

[0138] As shown in Figure 13, the prompt generation rule may have "prompt generation start conditions" and "prompt generation frequency" as its items. The prompt generation unit 11B may refer to these items and generate a prompt at the timing that meets these conditions.

[0139] For example, for the prompt "ID:P001", the "prompt generation start condition" is set to "2024 / 08 / 01" and the "prompt generation frequency" is set to "once / week". In this case, the prompt generation unit 11B will generate prompts every week from August 1, 2024, according to the prompt generation rules. Note that, as shown in Figure 13, the "prompt generation start condition" may also be a start command from the business operator. That is, the "prompt generation start condition" may be receiving a prompt generation command from the business operator terminal device 50.

[0140] [Prompt sending section] The prompt transmission unit 11E transmits the prompt generated by the prompt generation unit 11B to the generation system G1. At this time, the prompt transmission unit 11E may also transmit to the generation system G1, along with the prompt, the descriptive information of the medical content in which the usage evaluation information is indicated in the prompt. As described above, the medical content DB 22 (see Figure 8) includes a descriptive text (summary) that explains the content and related keywords as content description information. The prompt transmission unit 11E may also select the descriptive information of the medical content for which the usage evaluation information has been calculated from the medical content DB 22 and transmit it to the generation system G1.

[0141] Referring to Figure 13, for example, the prompt "ID:P001" includes, as elements of the medical professional information, usage evaluation information for the medical support information "ID:D021" (e.g., a rank representing the usage level of each physician) and usage evaluation information for the medical calculation tool "ID:D011". In this case, the prompt transmission unit 11E selects the descriptive information for these two medical contents from the medical content DB 22 and transmits it along with the prompt. Note that, unlike the example described here, the prompt generation unit 11B may also add the descriptive information for the medical contents (descriptive text, summary, related keywords, etc.) to the prompt itself.

[0142] The support device 10 may have a supporting document database 27 in which candidate supporting documents (such as research papers and clinical trial results) for explaining the drug are stored. The supporting document database 27 may store candidate supporting documents associated with each drug. In this case, the prompt transmission unit 11E may select one or more supporting documents from the supporting document database 27 based on medical product information included in the prompt (for example, drug-related keywords (see Figure 8)). The prompt transmission unit 11E may then transmit these selected supporting documents along with the prompt to the generation system G1.

[0143] In this case, the prompt generated by the prompt generation unit 11B may include an instruction requesting that an example of an explanation about the drug (an example of an explanation from a salesperson to a physician) be provided based on the content of the supporting document. For example, the prompt may include the instruction, "Please indicate what kind of explanation is appropriate for each physician." (ID:S021 in Figure 11). The supporting document that the prompt transmission unit 11E sends to the generation system G1 can be used to generate a response to such a prompt. Through this processing by the prompt transmission unit 11E, the sales activity support device 10 can work in conjunction with the generation system G1 to realize a so-called Retrieval Augmented Generation (Retrieval Augmented Generation) system.

[0144] [Support Information Department] The support information provision unit 11F has a response receiving unit 11G. The response receiving unit 11G receives a response (sales activity support information) from the generation system G1. The support information provision unit 11F transmits the received sales activity support information to the salesperson terminal device 50. The support information provision unit 11F also stores the sales activity support information in the support information DB 28. The salesperson terminal device 50 may have software installed for displaying the sales activity support information. In this case, the transmission of the sales activity support information may be achieved through this software. Alternatively, the transmission of the sales activity support information may be performed via email or a messaging application. Furthermore, if a web browser is installed on the salesperson terminal device 50, the support information provision unit 11F may transmit the sales activity support information to the salesperson terminal device 50 when the sales activity support information is requested through the web browser.

[0145] The support information provision unit 11F may adjust the sales activity support information received from the generation system G1 and then transmit it to the salesperson terminal device 50. The sales activity support information received from the generation system G1 may be, for example, information lacking some of the information suitable for transmission to the salesperson terminal device 50. For example, the sales activity support information (response) received by the prompt and response receiving unit 11G may only include the medical professional ID as information that identifies each physician, and may not include other information (for example, the physician's name, affiliated institution, address of the affiliated institution, email address, etc.). In this case, the support information provision unit 11F may add this information and transmit it to the salesperson terminal device 50 as sales activity support information. At this time, the support information provision unit 11F may refer to the medical professional DB 21 and obtain the information to be added from the medical professional DB 21.

[0146] Furthermore, the support information provision unit 11F may extract some of the information contained in the response and transmit the results to the salesperson terminal device 50 as sales activity support information. For example, the support information provision unit 11F may extract only the information of physicians who have been evaluated as suitable as sales targets from the response and transmit the results to the salesperson terminal device 50 as sales activity support information.

[0147] Furthermore, the support information DB28 may store sales activity support information acquired at multiple time points in time. In this case, the support information provision unit 11F may adjust the response received from the generation system G1 using information already stored in the support information DB28. For example, the support information provision unit 11F may transmit information showing the temporal change in the suitability of each physician as a sales target to the salesperson terminal device 50 as sales activity support information.

[0148] Figure 15 shows an example of sales activity support information that has undergone such adjustments. In this sales activity support information, the suitability of each doctor is listed in chronological order for each week (August 10th, 17th, and 24th). By referring to this support information, salespeople can estimate the appropriate time to conduct sales activities with each doctor.

[0149] In the prompt generation rule DB26, one or more sales representatives (pharmaceutical manufacturers or MRs) to whom the support information provision unit 11F provides (transmits) sales activity support information may be associated with each prompt. In this case, the support information provision unit 11F may refer to the prompt generation rule DB26 and provide sales activity support information to one or more sales representatives associated with the prompts. As described above, the prompt generation rule may specify the "prompt generation frequency". For example, the prompt generation frequency may be specified as once a week. In this case, the support information provision unit 11F may transmit sales activity support information to one or more sales representatives associated with the prompts at a frequency corresponding to the "prompt generation frequency" (for example, once a week).

[0150] Furthermore, the prompt may include medical product information for multiple drugs. In this case, the support information provision unit 11F may extract physicians who are suitable as sales targets for each of the multiple drugs and transmit the extracted physicians to one or more sales representatives, associating them with each drug. For example, the prompt may include medical product information for drug AAA and medical product information for drug BBB. The instruction in the prompt may request information indicating the suitability of each physician as a sales target for drug AAA and information indicating the suitability of each physician as a sales target for drug BBB. The support information provision unit 11F may, for example, extract physicians who meet predetermined conditions for suitability as a sales target for drug AAA (for example, physicians who are evaluated as highly suitable) and transmit the extracted physicians to sales representatives as sales activity support information. The support information provision unit 11F may also extract physicians who meet predetermined conditions for suitability as a sales target for drug BBB (for example, physicians who are evaluated as highly suitable) and transmit the extracted physicians to sales representatives as sales activity support information.

[0151] The database group 20 may include a database showing the relationship between pharmaceutical products and the sales representatives (MRs) responsible for those pharmaceuticals. In this case, the support information provision unit 11F may refer to the database and transmit the sales activity support information to the sales representatives corresponding to the pharmaceuticals related to the sales activity support information. Referring to the example above, the database group 20 may include, for example, a database containing a table showing the relationship between AAA drugs and the sales representatives (MRs) responsible for AAA drugs, and a database containing a table showing the relationship between BBB drugs and the sales representatives (MRs) responsible for BBB drugs. The support information provision unit 11F may then extract physicians whose suitability as a target for sales of AAA drugs meets predetermined conditions (for example, physicians evaluated as highly suitable) and transmit the information of these extracted physicians (sales activity support information) to the sales representatives (MRs) associated with AAA drugs. Furthermore, the Support Information Provision Department 11F may extract physicians who meet predetermined conditions for suitability as a target for sales of BBB drugs (for example, physicians who have been evaluated as highly suitable), and transmit information on these extracted physicians (sales activity support information) to sales representatives associated with BBB drugs.

[0152] The database group 20 may include a database showing the relationships between multiple physicians and the medical representatives (MRs) assigned to those physicians. In this case, the support information provision unit 11F may refer to the database and transmit the sales activity support information to the MR corresponding to the physician for whom the sales activity support information pertains. For example, the database group 20 may include a database that includes a table showing the relationship between Physician G and the medical representative (MR) assigned to Physician G, and a table showing the relationship between Physician H and the medical representative (MR) assigned to Physician H. If Physician G meets the suitability criteria for sales of AAA or BBB drugs, the support information provision unit 11F may transmit this information to the MR assigned to Physician G as sales activity support information. Similarly, if Physician H meets the suitability criteria for sales of AAA or BBB drugs, the support information provision unit 11F may transmit this information to the MR assigned to Physician H as sales activity support information.

[0153] [Prompt generation rule reception desk] The prompt generation rule receiving unit 11H receives prompt generation rules for prompts received from, for example, the salesperson terminal device 50 and stores them in the prompt generation rule DB 26 (see Figure 13). The rules received by the prompt generation rule receiving unit 11H may be, for example, each item of the prompt generation rule DB 26 as illustrated in Figure 13 (medical product information to be added to the prompt, prompt generation start conditions, prompt generation frequency, etc.).

[0154] [Workflow of Sales Activity Support System] Figure 16 is a flowchart showing an example of processing performed in the sales activity support device 10. The prompt generation unit 11B determines whether the timing for generating a prompt has arrived (S201). As described above, the prompt generation rule DB26 (see Figure 13) defines the "prompt generation start conditions". The prompt generation unit 11B refers to this prompt generation rule DB26 and determines whether the timing for generating a prompt has arrived. For example, the prompt generation unit 11B determines whether the date and time specified in the "prompt generation start conditions" has arrived. Also, if the "prompt generation start conditions" are the receipt of a start command from a salesperson, the prompt generation unit 11B determines whether the support device 10 has received that command.

[0155] As described above, the prompt generation rule DB26 may specify the "prompt generation frequency". In this case, the prompt generation unit 11B may refer to the "prompt generation start condition" and the "prompt generation frequency" in S201 to determine whether or not the time to generate a prompt has arrived.

[0156] When it is time to generate a prompt (YES in S201), the usage evaluation unit 11C refers to the usage history DB 23 and calculates usage evaluation information (S202). At this time, the usage evaluation unit 11C calculates usage evaluation information for the medical content that is subject to evaluation of the usage history in the prompt generation rule DB 26.

[0157] Furthermore, the medical professional information selection unit 11D extracts attribute information specified as medical professional information to be added to the prompt from the medical professional DB 21 (S203). For example, when generating the prompt "ID:P001" in the prompt generation rule DB 26, the medical professional information selection unit 11D extracts each doctor's "specialty field," "medical experience," and "working region" from the medical professional DB 21 and uses these as medical professional information to be added to the prompt.

[0158] As described above, the prompt generation rule DB26 may specify that the questionnaire response information be an element of the healthcare professional information. In this case, the healthcare professional information selection unit 11D extracts this response information from the healthcare professional DB21 and uses it as the healthcare professional information to be added to the prompt.

[0159] Furthermore, the prompt generation unit 11B obtains medical product information (such as drug descriptions, related keywords, and descriptions for target physicians, see Figure 10) for drugs specified to be added to prompts in the prompt generation rule DB 26 from the medical product DB 24 (S204). In addition, the prompt generation unit 11B obtains instruction sentences specified to be added to prompts in the prompt generation rule DB 26 from the instruction sentence DB 25 (S205).

[0160] Then, the prompt generation unit 11B generates a prompt using the information obtained in S202 to S205 (S206). Specifically, the prompt generation unit 11B generates a prompt by combining the medical professional information (medical professional identification information (ID), attribute information, medical professional action information) obtained through processing in S202 and S203, the medical product information obtained in S204, and the instruction text obtained in S205.

[0161] The prompt transmission unit 11E transmits the generated prompt to the generation system G1 (S207). At this time, the prompt transmission unit 11E may search the support data DB 27 for support data related to the drug that the business operator wants to sell, i.e., support data related to the drug corresponding to the medical product information, and transmit this to the generation system G1 along with the prompt. Alternatively, the prompt transmission unit 11E may read the medical content description information (description text and related keywords) for which the usage evaluation information is calculated in S202 from the medical content DB 22 and transmit this to the generation system G1 along with the prompt.

[0162] The response receiving unit 11G receives a response (sales activity support information) from the generation system G1 (S208). The support information providing unit 11F then transmits the received sales activity support information to the salesperson terminal device 50 (S209). The support information providing unit 11F may also adjust the sales activity support information received from the generation system G1 and transmit the result as sales activity support information to one or more salesperson terminal devices 50. The above is an example of the processing performed in the support device 10.

[0163] [Business Operator Terminal Equipment] The functions of the operator terminal device 50 will now be described. As shown in Figure 6, the operator terminal device 50 has the following functions: a support information display unit 51A, an execution command transmission unit 51B, and a rule input unit 51C. These functions are realized, for example, by the control unit 51 operating according to a program stored in the storage unit 52 and controlling other hardware elements (such as the communication unit 53 and the display unit 54).

[0164] The support information display unit 51A receives sales activity support information from the sales activity support device 10 and displays it on the display unit 54. The support information display unit 51A is implemented, for example, by software installed on the salesperson terminal device 50 for displaying sales activity support information. Alternatively, the salesperson terminal device 50 may have a web browser installed. In this case, this web browser may function as the support information display unit 51A. The salesperson terminal device 50 may periodically receive sales activity support information from the support device 10, and the support information display unit 51A may periodically display it on the display unit 54.

[0165] The execution command transmission unit 51B instructs the support device 10 to generate and transmit a prompt. The execution command transmission unit 51B transmits this command to the support device 10 in response to operations on the input unit 55, such as keywords or touchpads. At this time, the execution command transmission unit 51B may also transmit commands such as prompt generation to the support device 10 along with the prompt ID (see Figure 13).

[0166] The rule input unit 51C receives information to be stored in the prompt generation rule DB26 (see Figure 13) of the support device 10 and transmits it to the support device 10. As described above, the prompt generation rule DB26 includes items such as the ID of the instruction statement that constitutes the prompt, the prompt generation start condition, and the prompt generation frequency. The rule input unit 51C transmits this information to the support device 10, for example.

[0167] [Physician terminal device] The functions of the physician terminal device 30 will now be described. As shown in Figure 6, the physician terminal device 30 has a usage history transmission unit 31A as one of its functions. This function is realized by the control unit 31 operating according to a program stored in the storage unit 32 and controlling other hardware elements (for example, the communication unit 33 and the storage unit 32).

[0168] The usage history transmission unit 31A transmits information indicating operations performed by the user, a physician, on medical content (for example, viewing medical support information or using medical calculation tools) to the support device 10 as usage history. For example, when the physician terminal device 30 and the sales activity support device 10 are connected, the usage history transmission unit 31A transmits information indicating the content of each operation as usage history each time an operation is performed on the physician terminal device 30. When an operation on medical content is performed while the physician terminal device 30 and the sales activity support device 10 are not connected, the usage history transmission unit 31A stores the usage history in the storage unit 32 of the physician terminal device 30. Then, when the physician terminal device 30 is next connected to the sales activity support device 10, the usage history transmission unit 31A transmits the usage history stored in the storage unit 32 to the sales activity support device 10.

[0169] [summary] As described above, the sales activity support system 100 has a medical professional DB 21 and a usage history DB 23 that store medical professional information (physician attribute information and each physician's usage history), including information about each physician, for each of multiple physicians. The sales activity support system 100 also has a prompt generation unit 11B, a prompt transmission unit 11E, and a support information provision unit 11F. The prompt generated by the prompt generation unit 11B includes medical professional information and medical product information, which is information about the drug that the salesperson intends to sell. This prompt also includes a command statement that requests the generation of sales activity support information indicating whether each physician is suitable as a target for sales of the drug, based on the medical professional information and the medical product information. The prompt transmission unit 11E transmits the generated prompt to the generation system G1, which includes a large-scale language model M1. The support information provision unit 11F receives the sales activity support information from the generation system G1 and provides it to the user (salesperson) of the sales activity support information.

[0170] In this sales activity support system 100, the prompts input to the large-scale language model M1 include medical product information related to the salesperson's medical products and medical professional information. Therefore, sales activity support information is obtained that allows the salesperson to easily identify physicians who are suitable as sales targets.

[0171] The sales activity support system described in this disclosure is not limited to the examples above. For example, part of the processing shown in Figure 16 may be executed in the salesperson terminal device 50. For example, the processing of the prompt generation unit 11B may be executed in the salesperson terminal device 50. Alternatively, only part of the processing of the prompt generation unit 11B may be executed in the salesperson terminal device 50, and the remainder may be executed in the sales activity support device 10. For example, the instruction text in the prompt may be generated in the salesperson terminal device 50, and the sales activity support device 10 may add medical professional information to this generated prompt. [Explanation of Symbols]

[0172] 10: Sales activity support device, 11: Control unit, 11A: Usage history receiving unit, 11B: Prompt generation unit, 11C: Usage evaluation unit, 11D: Medical professional information selection unit, 11E: Prompt transmission unit, 11F: Support information provision unit, 11F: Support information provision unit, 11G: Response receiving unit, 11H: Prompt generation rule receiving unit, 12: Storage unit, 13: Communication unit, 14: Display unit, 15: Input unit, 20: Database group, 21: Medical professional database, 22: Medical Co Contents database, 23: Usage history database, 24: Medical product database, 25: Instruction database, 26: Prompt generation rule database, 27: Supporting document database, 28: Support information database, 30: Physician terminal device, 31: Control unit, 31A: Usage history transmission unit, 32: Storage unit, 33: Communication unit, 34: Display unit, 35: Input unit, 50: Business operator terminal device, 51: Control unit, 51A: Support information display unit, 51B: Execution command transmission unit 51C: Rule input unit, 52: Memory unit, 53: Communication unit, 54: Display unit, 55: Input unit, 100: Sales activity support system.

Claims

1. A memory means that stores information about each healthcare worker, including information about each healthcare worker, for each of multiple healthcare workers. A prompt generation means that generates a prompt which includes the aforementioned medical professional information and medical product information which is information about the medical products of the business operator, and which requests the generation of sales activity support information indicating whether the medical professional is suitable as a target for sales of the medical products based on the aforementioned medical professional information and the aforementioned medical product information, A prompt sending means for sending the prompt to a generation system including a large-scale language model, A means for receiving the sales activity support information from the generation system and providing the sales activity support information to the user, A sales support system for medical products, including medical products.

2. The healthcare professional information included in the prompt includes information obtained from the healthcare professional's usage history of medical content that presents medical information. A sales activity support system for medical products as described in claim 1.

3. The healthcare professional information included in the prompt includes information obtained from the healthcare professional's usage history of medical content related to the medical product among multiple medical content items. A sales activity support system for medical products as described in claim 1.

4. The system includes a usage evaluation means that calculates usage evaluation information representing the degree of use based on the usage history of the medical content related to the medical product, The healthcare professional information included in the prompt includes the usage evaluation information. A sales activity support system for medical products as described in claim 3.

5. The prompt generation means generates the prompt at a first time point based on the usage history of the medical content during a first period, and at a second time point after the first time point based on the usage history of the medical content during a second period including the period after the first period. The providing means provides the user with the sales activity support information obtained for the prompts generated based on the usage history of the medical content during the first period, and then provides the user with the sales activity support information obtained for the prompts generated based on the usage history of the medical content during the second period. A sales activity support system for medical products as described in claim 1.

6. The prompt requests the generation system to assign an evaluation score to the medical professional corresponding to the suitability of the medical product as a marketable product, and to include suitability evaluation information indicating the evaluation score assigned to the medical professional as sales activity support information. A sales activity support system for medical products as described in claim 1.

7. The prompt requests the generation system to include evaluation reason information indicating the reasons for the evaluation of the healthcare professional in the sales activity support information. A sales activity support system for medical products as described in claim 1.

8. The prompt requests the generation system to include information indicating the content of the explanation about the medical product in sales activities for the medical product to the medical professional, in the sales activity for the medical product. A sales activity support system for medical products as described in claim 1.

9. The prompt requests the generation system to include sales timing information, which is information regarding the timing of sales activities to be conducted with the healthcare professionals, in the sales activity support information. A sales activity support system for medical products as described in claim 1.

10. The prompt requests the generation system to evaluate the medical professional as a target for sales of the medical product based on the relationship between the area in which the business operator plans to conduct sales activities and the area in which the medical professional provides medical care, and to generate the results as the sales suitability evaluation information. A sales activity support system for medical products as described in claim 6.

11. The prompt includes medical product information relating to a first medical product and medical product information relating to a second medical product. The prompt requests the generation system to generate the conformity assessment information, which indicates whether the medical professional is suitable as a target market for the first medical product and whether the medical professional is suitable as a target market for the second medical product. A sales activity support system for medical products as described in claim 6.

12. A process of storing healthcare worker information, including information about each healthcare worker, in a memory device for each of multiple healthcare workers, A step of generating a prompt that includes the aforementioned medical professional information and medical product information which is information related to the medical products of the business operator, and which requests the generation of sales activity support information indicating whether the medical professional is suitable as a target for sales of the medical products based on the aforementioned medical professional information and the aforementioned medical product information, The steps include sending the prompt to a generation system that includes a large-scale language model, The process of receiving the sales activity support information from the generation system and providing the sales activity support information to the user. Methods for supporting sales activities of medical products, including those mentioned above.

13. A memory means that stores information about each healthcare worker, including information about each healthcare worker, for each of multiple healthcare workers. A prompt generation means that generates a prompt which includes the aforementioned medical professional information and medical product information which is information related to the medical products of the business operator, and which requests the generation of sales activity support information indicating whether the medical professional is suitable as a target for sales of the medical products based on the aforementioned medical professional information and the aforementioned medical product information, A prompt sending means for sending the prompt to a generation system including a large-scale language model, A means for receiving the sales activity support information from the generation system and providing the sales activity support information to the user. A program that makes a computer function.

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