Explanatory material selection device, control method for an explanatory material selection device, and control program for an explanatory material selection device

Abstract

To provide an explanatory material selection device capable of selecting a more appropriate explanatory material for an explanatory target person such as a doctor.SOLUTION: An explanatory material selection device 10 stores questionnaire reference trend information 112 that is trend information of a questionnaire reply reference of an explanatory target person on the basis of questionnaire reply information 104 to questionnaire information 102 on a target (T) of an explanatory target person (W), creates database reference trend information 114 and 152 of the explanatory target person relating to the target on the basis of database 113, and selects an explanatory material on the basis of the questionnaire reference trend information and the database reference trend information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an explanatory material selection device that provides optimal explanatory materials to recipients such as doctors, a control method for the explanatory material selection device, and a control program for the explanatory material selection device. [Background technology]

[0002] Conventionally, devices have been proposed that send questionnaires to doctor terminals based on the attribute information of doctors, etc., and transmit content (programs) for each doctor based on the responses (for example, Patent Document 1, etc.). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 4444551 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the answers to the questionnaires entered by doctors and other medical professionals are based on their own judgment at the time, and there is a possibility that doctors may make mistakes or make input errors. Furthermore, the content of slides and other explanatory materials used to explain drugs and other items to doctors and other medical professionals is determined based on the results of such questionnaires, so if the answers to the questionnaire are incorrect, there is a problem in that appropriate slides and other explanatory materials cannot be selected when giving the explanation.

[0005] Therefore, the present invention aims to provide an explanatory material selection device, a control method for an explanatory material selection device, and a control program for an explanatory material selection device that can select more appropriate explanatory materials for recipients such as doctors.

[0006] The above object is achieved in the present invention by an explanatory material selection device that selects explanatory materials to explain an object to a subject, the explanatory material selection device comprising: a questionnaire-based tendency information storage unit that stores questionnaire-based tendency information, which is tendency information of the subject's questionnaire response criteria, generated based on the subject's questionnaire response information to questionnaire information regarding the object; a database-based tendency information generation unit that generates database-based tendency information, which is database-based tendency information of the subject regarding the object, based on a database that records various information regarding the subject; and the explanatory material selection device that selects the explanatory materials based on the questionnaire-based tendency information and the database-based tendency information.

[0007] According to the above configuration, the explanatory material is selected based on the questionnaire reference tendency information and the database reference tendency information. In this way, the present invention makes a selection based not only on the questionnaire reference tendency information for the person to be explained to but also on the database reference tendency information for the person to be explained to, so that it is possible to select more appropriate explanatory materials for the person to be explained to.

[0008] Preferably, the explanatory material selection device is configured to determine whether the questionnaire-based tendency information and the database-based tendency information differ, and if they differ, to select the explanatory material corresponding to both.

[0009] According to the above configuration, when the questionnaire-based trend information and the database-based trend information are different, meaningful options can be provided to the presenter by selecting explanatory materials that correspond to both, rather than specifying one or the other.

[0010] Preferably, the survey information of the explanatory material selection device includes first survey information and second survey information regarding the object, and the second survey information is transmitted to a terminal of the person to be explained who has viewed program information selected based on the first survey response information, which is the survey response information to the first survey information, and the response to the second survey information is the survey response information.

[0011] According to the above configuration, the survey response information is a survey response from the person to be explained to in response to the second survey information after viewing the program information selected based on the first survey response information, and the survey standard tendency information (e.g., emphasis on effectiveness, etc.) is generated based on this survey response, thereby improving the accuracy of the survey standard tendency information.

[0012] Preferably, the database standard tendency information of the explanatory material selection device is configured to be identified by which of a plurality of explanation subject behavior characteristic types, which are characteristic classifications of the behavior of the explanation subject, it belongs to, and the explanation subject behavior characteristic type is characterized in that it is determined based on specific explanation subject basic tendency information, which is basic tendency information of the explanation subject.

[0013] According to the above configuration, the database reference tendency information is determined by classifying it into explanation subject behavioral characteristic types based on the specific explanation subject basic tendency information, so that the information can be statistically highly accurate.

[0014] The above object is achieved in the present invention by a control method for an explanatory material selection device that selects explanatory materials that explain an object to a subject, the control method for an explanatory material selection device being characterized in that: questionnaire-based tendency information, which is tendency information of the subject's questionnaire response criteria, generated based on the subject's questionnaire response information to questionnaire information about the object, is stored in a questionnaire-based tendency information storage unit; a database-based tendency information generation unit generates database-based tendency information, which is database-based tendency information of the subject regarding the object, based on a database that records various information about the subject; and the explanatory materials are selected based on the questionnaire-based tendency information and the database-based tendency information.

[0015] The above object is achieved in the present invention by a control program for an explanatory material selection device that selects explanatory materials that explain an object to a subject, the program being characterized by having the following functions: a function of storing, in a questionnaire-based tendency information storage unit, questionnaire-based tendency information, which is tendency information of the subject's questionnaire response criteria, generated based on the subject's questionnaire response information to questionnaire information about the object; a function of a database-based tendency information generation unit that generates database-based tendency information, which is database-based tendency information of the subject regarding the object, based on a database that records various information about the subject; and a function of selecting the explanatory materials based on the questionnaire-based tendency information and the database-based tendency information. [Effects of the Invention]

[0016] As described above, the present invention has the advantage of providing an explanatory material selection device, a control method for an explanatory material selection device, and a control program for an explanatory material selection device that can select more appropriate explanatory materials for recipients such as doctors. [Brief explanation of the drawings]

[0017] [Figure 1]1 is a schematic diagram showing the main configuration of a slide selection system 1 having a management server 10, for example, which is an explanatory material selection device of the present invention. [Figure 2] FIG. 2 is a schematic block diagram showing the main configuration of the "management server 10" in FIG. [Figure 3] 3 is a schematic block diagram showing the main configuration of the "first various information storage unit 100" in FIG. 2. FIG. [Figure 4] 3 is a schematic block diagram showing the main configuration of a "second various information storage unit 150" in FIG. 2. FIG. [Figure 5] 1 is a schematic flowchart showing an example of the main operation of the slide selection system 1. [Figure 6] 10 is a schematic flowchart showing a process for acquiring "supporting information" etc. of questionnaire response information. [Figure 7] 10 is another schematic flowchart showing the process of acquiring "supporting information" etc. of the questionnaire response information. DETAILED DESCRIPTION OF THE INVENTION

[0018] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings. The embodiments described below are preferred examples of the present invention, and therefore various technically preferable limitations are applied. However, the scope of the present invention is not limited to these embodiments unless otherwise specified in the following description to the effect that the present invention is specifically limited.

[0019] FIG. 1 is a schematic diagram showing the main configuration of a slide selection system 1 having a management server 10, which is an explanatory material selection device of the present invention. As shown in Figure 1, the system 1 has a management server 10 managed by Company K, which manages explanatory materials such as slides for doctors used by MRs (Medical Representatives), and a doctor terminal 200, which is a terminal managed by the person receiving the explanation from the MRs, such as Doctor W, and these are configured to be able to communicate with each other via an Internet network 2.

[0020] The "MR's slides for doctors" are explanatory materials about, for example, diabetes drug T, which is a product sold by, for example, pharmaceutical company S, to which the MR belongs.

[0021] The management server 10 and doctor terminal 200 of the slide selection system 1 in Figure 1, etc., have computers, including a CPU (Central Processing Unit), RAM (Random Access Memory), ROM (Read Only Memory), a hard disk, etc., and are connected via a bus.

[0022] FIG. 2 is a schematic block diagram showing the main configuration of the "management server 10" in FIG. As shown in Figure 2, the management server 10 has a "control unit 11", which controls a "communication device 12" for communicating with the doctor terminal 200 in Figure 1, a "display 13" for displaying various information, and a "various information input unit 14" for inputting various information. The control unit 11 also controls the "first various information storage unit 100" and the "second various information storage unit 150" shown in FIG.

[0023] 3 and 4 are schematic block diagrams showing the main configurations of the "first various information storage unit 100" and the "second various information storage unit 150" in FIG. 2, respectively, and the contents of these will be described later.

[0024] 5 to 7 are schematic flowcharts showing examples of main operations of the slide selection system 1. FIG. In this embodiment, we will explain an example in which pharmaceutical company S requests company K, which manages the management server 10, to prepare the contents of ``MR's doctor slides'' that the company's MR should use to explain to the doctor W in charge of ``diabetes drug T'' sold by pharmaceutical company S.

[0025] The management server 10 in FIG. 1 stores the identification information of doctors and the identification information of the doctor terminal 200 in the "doctor identification information storage unit 101" in FIG. Therefore, first, the process proceeds to step (hereinafter referred to as "ST") 1 in FIG. In ST1, the "first questionnaire processing unit (program) 102" of the management server 10 shown in FIG. 3 operates and refers to the "doctor identification information storage unit 101" shown in FIG. Then, the "first questionnaire" stored in the "first questionnaire memory unit 103" in Figure 3 is sent in order from "Q1" to "Q3" to Doctor W's doctor terminal 200 in Figure 1, and the answers are stored in the "first questionnaire answer memory unit 104".

[0026] The "first questionnaire" stored in the "first questionnaire storage unit 103" is an example of "first questionnaire information", and is specifically as follows.

[0027] First, the process of sending the first question "Q1" of the "first questionnaire" and receiving a response is executed. "Q1" asks, "How many diabetic patients do you treat (e.g., how many diabetic patients do you treat in a year?)?"

[0028] Regarding this question Q1, the management server 10 has a "Q1 judgment criteria information storage unit 105" as shown in FIG. The "Q1 judgment criteria information storage unit 105" stores criteria data for determining whether the number of responses is "low," "average," or "high."

[0029] Therefore, when the "first questionnaire processing unit 102" receives a questionnaire response to "Q1" from the doctor terminal 200, it refers to the "Q1 judgment criteria information storage unit 105" and makes a judgment as "low," "normal," or "high," and stores the received response together with the result as "first questionnaire information" in the "first questionnaire response storage unit 104."

[0030] Next, the process of sending the second question "Q2" of the "first questionnaire" and receiving a response is executed. "Q2" asks, "Have you had experience prescribing medication (for example, diabetes medication T (Company S))?"

[0031] Once an answer to this "Q2" question is received, the "Q2-1" question of the first survey will be sent. "Q2-1" asks, "Please tell us how many times you have been prescribed medication (such as diabetes medication T)."

[0032] Regarding the question {Q2-1}, the management server 10 has a "Q2-1 judgment criteria information storage unit 106" as shown in FIG. The "Q2-1 judgment criteria information storage unit 106" stores criteria data for determining whether the answer is "low," "normal," or "high" based on the number of prescriptions.

[0033] Therefore, when the "first questionnaire processing unit 102" receives the questionnaire responses to "Q2" and "Q2-1" from the doctor terminal 200, it refers to the "Q2-1 judgment criteria information storage unit 106" in Figure 3 and stores the "first questionnaire response information," which is the name of the prescribed drug and the result of judging the number of prescriptions as "low," "normal," or "high," in the "first questionnaire response storage unit 104" in Figure 3.

[0034] Next, the process of sending and receiving a response to "Q3," which is the third question of the "first questionnaire," is executed. "Q3" is a question about "MR visit status (for example, the number of visits by S Company's MR in a month)."

[0035] Regarding the question Q3, the management server 10 has a "Q3 judgment criteria information storage unit 107" as shown in FIG. The "Q3 judgment criteria information storage unit 107" stores criteria data for determining whether the number of visits is "low," "normal," or "high."

[0036] Therefore, when the "first questionnaire processing unit 102" receives a questionnaire response to "Q3" from the doctor terminal 200, it refers to the "Q3 judgment criteria information storage unit 107" and makes a judgment as "low," "normal," or "high," and stores the received response together with the result as "first questionnaire response information" in the "first questionnaire response storage unit 104."

[0037] With the above steps, all of the answer results to "Q1 to Q3" of the "first questionnaire" are stored in the "first questionnaire answer storage unit 104." Further, specific data examples of the questionnaire responses from Doctor W in this embodiment are as follows: The number of diabetes patients in "Q1" is "normal," "Q2" has experience with prescription of diabetes drug T, but the number of prescriptions is "low," and "Q3" the number of MR visits is "normal."

[0038] Next, the process proceeds to ST2 in Fig. 5. ST2 is a step of determining the "contents (an example of program information)" to be provided to the doctor terminal 200 based on the information in the above-mentioned "first questionnaire response storage unit 104".

[0039] This "content" is stored in the "content storage unit 109" in FIG. 3, and the details of this content will now be described. For example, three types of content, A, B, and C, are stored. "Content A" is a program for doctors who do not prescribe drugs (for example, a program (video) for doctors who do not prescribe diabetes drug T). "Content B" is a program aimed at doctors who prescribe only a small number of the company's own products (for example, a program (video) aimed at doctors who prescribe only a small number of diabetes medications). "Content C" is a program aimed at doctors who prescribe many of the company's own products (for example, a program aimed at doctors who prescribe a lot of diabetes drug T (more specialized program video)).

[0040] Then, in ST2 of FIG. 5, the "content selection processing unit (program) 108" of the management server 10 in FIG. 3 operates and refers to the "first questionnaire response storage unit 104" of FIG. 3 and the "content storage unit 109" of FIG. Then, the "contents (A to C)" suitable for the doctor W are selected and stored in the "selected content storage unit 110" in FIG.

[0041] In the example of this embodiment, if there is no experience of "diabetic drug T" being prescribed as a prescription drug for "Q2" in the "first questionnaire," then "content A" is selected. Also, if the patient has experience with prescription of diabetes drug T in "Q2," but the number of prescriptions in "Q2-1" is "low," then the patient will be classified as "Content B." Also, if the number of prescriptions in "Q2-1" is "high," it will be classified as "Content C."

[0042] In addition, in this embodiment, it is assumed that Doctor W answers in the "First Questionnaire" that "Q1: Number of diabetes patients is 'normal', Q2: Has experience prescribing diabetes drug T, but has prescribed it few times, Q3: MR visit situation is 'normal'." Then, "content B" is selected as the "content" for doctor W, and is stored in the "selected content storage unit 110" in FIG.

[0043] Next, the process proceeds to ST3. In ST3, the "content (for example, B)" stored in the "selected content storage unit 110" is transmitted to the doctor terminal 200 in Fig. 1, and the doctor W views the content.

[0044] Next, the process proceeds to ST4. In ST4, after Doctor W has viewed "Content B" on the doctor terminal 200, second questionnaire information, for example, "Second Questionnaire", is transmitted to the doctor terminal 200. The "second questionnaire" is stored in the "second questionnaire storage unit 111" of the management server 10 in FIG.

[0045] The specific contents of the "Second Survey" are as follows: The "second questionnaire" has, for example, three types of questionnaires: "QQ1", "QQ2", and "QQ3". Of these, "QQ1" is a "survey for doctors who watched the program Content A," which asks whether they would prioritize effectiveness, evidence, or reputation among other doctors when prescribing diabetes drug T. Additionally, "QQ2" is a "survey for doctors who watched the program Content B," and asks whether they would prioritize effectiveness, evidence, or reputation among other doctors when prescribing diabetes drug T to many patients. Additionally, "QQ3" is a "survey for doctors who watched the program Content C," and asks whether they would prioritize effectiveness, evidence, or reputation among other doctors when prescribing diabetes drug T to more patients.

[0046] In ST3 of Figure 5, the management server 10 refers to the "second questionnaire memory unit 111" and the "selected content memory unit 110" in Figure 3, and sends to the doctor terminal 200 the questionnaires "QQ1" to "QQ3" of the "second questionnaire" corresponding to the "content (e.g., B)" sent to the doctor terminal 200.

[0047] In this embodiment, since the content transmitted to the doctor terminal 200 of doctor W is "content B," the questionnaire "QQ2" out of the "second questionnaire" is transmitted to the doctor terminal 200 of doctor W.

[0048] Next, the process proceeds to ST5. In ST5, the response to the "second questionnaire" is received from the doctor terminal 200 and stored in the "second questionnaire response storage unit 112" in FIG. In this embodiment, if Doctor W answers the questionnaire "QQ2" with "Effectiveness-oriented (an example of questionnaire-based tendency information)", the answer is stored in the "Second questionnaire response memory unit 112 (an example of questionnaire-based tendency information memory unit)" in Figure 3.

[0049] With the above steps, it is possible to obtain questionnaire response information from Doctor W, but the responses to the "second questionnaire" alone do not tell, for example, whether the doctor in question truly "places importance" on "effectiveness," etc. If different standards are used, there is a risk that subsequent explanatory materials such as "MR Slide X for Doctors" may not be sufficiently effective. Therefore, in this embodiment, in order to improve the accuracy of the results of the "second questionnaire response", "supporting information" for the questionnaire response information is acquired.

[0050] 6 and 7 are schematic flowcharts showing the process of acquiring "supporting information" and the like for questionnaire response information. Before explaining this step, the "physician basic tendency information" used in this step will be explained. The management server 10 has a "Doctor Basic Trend Information Database 113 (an example of a database)" which stores attribute information for each doctor and "Doctor Basic Trend Information (database reference trend information, an example of basic trend information)" for each doctor, as shown in Figure 3.

[0051] In this "physician basic tendency information database 113", the physician basic tendency information of each physician is stored, for example, divided into seven basic items. The seven basic items of "Physician Basic Trend Information" are a to g below.

[0052] (a) "Access log of management server 10" contains information such as the type of program, etc., of content, etc., that the doctor is viewing. (b) "Doctor behavior and practice type analysis data" includes information on whether the doctor is a private practitioner or a salaried physician and their behavioral tendencies. (c) "Information on the facility to which the doctor belongs" is information on the facility (special function facility or general facility) to which the doctor belongs. (d) "Prescription record at affiliated facility" is prescription record information for drugs at the facility to which the doctor (for example, Doctor W) belongs. (e) "Academic societies to which the doctor belongs" is information on the academic societies to which the doctor belongs. (f) "Data on published papers by doctors" is information on published papers both domestically and internationally. (g) "Physician data created by past MRs" is information such as data about the doctor created by the MR who was in charge of the doctor.

[0053] Next, the process of acquiring "supporting information" for the questionnaire response information will be described below with reference to the flowchart of FIG. First, the process proceeds to ST11. In ST11, the "specific doctor basic tendency information acquisition unit (program) 114" in Fig. 3 operates and refers to the "doctor basic tendency information database 113." Then, data for each basic item (a) to (g) related to the doctor W is collected and stored in the "specific doctor basic trend information storage unit 115" in Figure 3 as "specific doctor basic trend information (an example of database reference trend information and specific explanation recipient basic trend information)."

[0054] For example, the "specific physician basic tendency information" for physician W is as follows: (a) In the item "Access log of management server 10," Doctor W has accessed programs on circulatory system-related information and has a high tendency to view overseas evidence information. (b) In the section on "Doctor behavior and practice type analysis data," Doctor W works at a hospital and tends to try new drugs and new evidence relatively early, and tends to act based on the clinical trials of innovators. (c) In the section "Information on the facility to which the doctor belongs," Doctor W is affiliated with a designated functional facility, which is enthusiastic about promoting cutting-edge treatments and has the largest number of diabetes specialists in the prefecture. (d) In the section on "Prescription records at affiliated facilities," the facility to which Doctor W belongs was quick to adopt new diabetes medications and had the highest prescription volume in the prefecture, and the number of procedures also tends to be high according to DPC (diagnosis procedure combination) data. (e) In the section "Academic Societies to which the Doctor Belongs," Doctor W is a member of the Diabetes Society, the Atherosclerosis Society, etc. (f) In the section on "Doctors' Publication Data," Doctor W is in the top 20 among Japanese doctors for the number of papers he has published on the diabetes treatment drug SGLT-2 over the past five years. (g) In the section "Physician data prepared by past MRs," Doctor W was the fifth most likely to treat diabetes patients within the hospital where he worked, but he was not proactive regarding new drugs.

[0055] The above data is stored as Doctor W's "specific doctor basic tendency information" in the "specific doctor basic tendency information storage unit 115."

[0056] Next, the process proceeds to ST12. In ST12, based on the "specific physician basic tendency information" of physician W acquired in ST11, it is determined which of the "physician behavior characteristic types (an example of an explanation recipient behavior characteristic type)" which are characteristic classifications of physician behavior, the physician W falls into.

[0057] The "physician behavioral characteristic type" will be described in detail below. The "physician behavioral characteristic type" is a "classification of behavioral characteristics such as the doctor's prescription importance level, timing of prescribing new drugs, etc." and is stored in the "physician behavioral characteristic type storage unit 151" in FIG. Specifically, the following four types of "physician behavior characteristic types" are stored. (Group 1) "KOL (Key Opinion Leader) Oriented Type": This type adopts new drugs early, places importance on effectiveness, and places importance on overseas data. (Group 2) "General practitioner type": This type is proactive in prescribing new drugs, places importance on safety, and places importance on information from doctors they know. (Group 3) is the "hospital worker type," and (Group 4) is the "research leader type."

[0058] In ST12 of Figure 6, the ``specific doctor tendency information judgment unit (program) 152'' operates and refers to the ``specific doctor basic tendency information (stored in the specific doctor basic tendency information memory unit 115)'', which is the basic item data (a) to (g) regarding doctor W. Then, based on this information, it is determined which of the "physician behavior characteristic types" (group 1) to (group 4) in the "physician behavior characteristic type memory unit 151" of Figure 4 Doctor W corresponds to, and the corresponding "physician behavior characteristic type" is stored in the "specific physician behavior characteristic type memory unit 153" of Figure 4.

[0059] In this embodiment, in ST12, the "specific doctor tendency information judgment unit (program) 152" in Figure 4 determines that Doctor W falls into "Group 1 (KOL-oriented type)" of the "doctor behavior characteristic types," and this is stored in the "specific doctor behavior characteristic type memory unit 153."

[0060] The "specific doctor basic tendency information acquisition unit (program) 114" and the "specific doctor tendency information determination unit (program) 152" are examples of a database reference tendency information generation unit.

[0061] With the above, Doctor W's "physician behavioral characteristic type" is set to "Group 1 (KOL-oriented type)" and stored. Next, the process proceeds to ST13. In ST13, the "support processing unit (program) 154" in Fig. 4 operates and refers to the "second questionnaire response storage unit 112" and the "specific physician behavior characteristic type storage unit 153" in Fig. 3. Then, it is determined whether or not the questionnaire response "Emphasis on effectiveness" in the "second questionnaire response storage unit 112" is included in the "Group 1 (KOL-oriented type)" which is the "physician behavioral characteristic type" in the "specific physician behavioral characteristic type storage unit 153".

[0062] If it is determined in ST14 that it is "included," the process proceeds to ST15. In ST15, it is determined that Doctor W's "second questionnaire response" has been confirmed to be corroborated, and the item "second questionnaire response" (e.g., "effectiveness-oriented") is stored as "corroborated information" in the "corroborating information storage unit 155" of Figure 4.

[0063] In this embodiment, the item "Effectiveness-oriented" in the "Questionnaire response" is included in "Early adoption of new drugs, Effectiveness-oriented, Emphasis on overseas data" in "Group 1 (KOL-oriented type)", so it is determined to be "included", and "Effectiveness-oriented" is stored as supported information in the "Supporting information storage unit 155" in Figure 4.

[0064] In this embodiment, as a result of the operation of the "specific doctor tendency information determination unit (program) 152" in ST12, it was determined that Doctor W falls into "Group 1 (KOL-oriented type)" of the "doctor behavior characteristic types." However, unlike this embodiment, if Doctor W is determined to fall into "Group 2 (private practitioner type)" in ST12, this fact is stored in the "specific doctor behavior characteristic type memory unit 153" in Figure 4.

[0065] In this case, in ST13, the "support processing unit (program) 154" operates, and refers to the "second questionnaire response memory unit 112" and the "specific physician behavior characteristic type memory unit 153" to determine whether the content of the "second questionnaire response" is included in the "physician behavior characteristic type" "Group 2 (private practitioner type)." In ST14, the result is "not included," and the content is different.

[0066] Then, the process proceeds to ST16. In ST16, both the "emphasis on effectiveness" in the "second questionnaire response" and the content of "Type 2 (private practitioner type)" - "non-aggressive prescription of new drugs, emphasis on safety, emphasis on information from acquaintance doctors" - are stored in the "supporting information storage unit 155" in FIG. 4.

[0067] Next, the process of selecting "doctor slides for MR" for Doctor W and others will be described. First, the management server 10 in FIG. 1 has an "MR-use doctor slide storage unit 156" in FIG. 4 that stores "MR-use doctor slides" that are used when an MR explains medicines to a doctor.

[0068] Specifically, for example, three types of "MR slides for doctors" are stored as shown below. (A) "MR Slides X for Doctors" (Keywords include "Focus on efficacy of drugs," "Active prescription of new drugs," "New mechanism of action," etc., and the slide content is "Slides promoting efficacy, focusing on mechanism of action videos and evidence of efficacy.") (B) "Slide Y for MRs (Keywords include "emphasis on evidence for drugs," "non-aggressive prescribing of new drugs," and "emphasis on safety," and the slide content is "Phase 3 trial side effect data, safety appeal slide with a focus on mechanism of action video.") (c) "MR Slide Z for Doctors" (Keywords: "Important to know information from doctors when it comes to drugs," "Non-proactive prescribing of new drugs," "I want to know prescription examples," and the slide content is a slide that appeals to prescribing sense, focusing on basic data (effectiveness and safety) and the prescribing experience of clinical trial doctors.

[0069] Next, the process of selecting the "MR doctor slide" when supporting information is stored will be described. In this case, the process proceeds from ST15 to ST17. In ST17, the "slide selection processing unit (program) 157" of the management server 10 in Fig. 4 operates to determine whether the data "emphasis on effectiveness" stored in the "supporting information storage unit 155" in Fig. 4 is included in the keywords (e.g., "emphasis on effectiveness" for drugs) associated with each slide in the "MR doctor slide storage unit."

[0070] Next, proceed to ST18, where the processing unit 157 selects the "included" MR doctor slide, for example, in the case of Doctor W, "MR doctor slide X," and stores it in the "recommended slide memory unit 158" in Figure 4.

[0071] On the other hand, if no supporting information is stored, the process proceeds from ST16 to ST19. In ST19, the "slide selection processing unit (program) 157" in Fig. 4 determines whether the data "emphasis on effectiveness" and "non-aggressive prescription of new drugs, emphasis on safety, emphasis on information from acquaintance doctors" stored in the "supporting information storage unit 155" in Fig. 4 are included in the keywords (emphasis on effectiveness for drugs, etc.) associated with each slide in the "MR doctor slide storage unit."

[0072] Next, the process proceeds to ST20. In ST20, the processing unit 157 selects the included "MR doctor slides," "MR doctor slide X," "MR doctor slide Y," and "MR doctor slide Z," and stores them in the "recommended slide storage unit 158," while also assigning numbers to the MR doctor slides in descending order of the number of keywords they contain and storing them.

[0073] For example, "MR Doctor Slide Y" and "MR Doctor Slide Z," which contain two keywords, are stored in the "recommended slide storage unit" as "rank 1," and "MR Doctor Slide X," which contains one keyword, is stored as "rank 3."

[0074] Next, the process proceeds to ST21. In ST21, the data stored in the "recommended slide storage unit 158" is provided to the client, "pharmaceutical company S," and the medical representatives of pharmaceutical company S use the data as slides for doctor W. Therefore, MR can use the appropriate slides for Doctor W. In this way, in this embodiment, ``doctor slides for MR'' are selected for doctor W who has viewed content related to diabetes drug T based not only on the doctor W's questionnaire response information but also on specific doctor basic tendency information (a to g), which is information based on doctor W's database, so that the MR can easily select more appropriate slides.

[0075] Furthermore, even if there are multiple recommended slides, they are assigned a priority (such as rank 1), allowing the MR to appropriately determine the priority.

[0076] Furthermore, in this embodiment, the recommended slides used by the MR can be fed back to the "physician basic tendency information database 113" shown in FIG. 3 described above, thereby improving the accuracy of the information in the database 113.

[0077] For example, if an MR presents the content of "MR-use slide X for doctors" to Doctor W and Doctor W does not respond well, the contents of the questionnaire sent to Doctor W and the contents of the database 113 are reviewed.

[0078] In the above-described embodiment, an example has been given in which the invention is realized as an apparatus, but the invention is not limited to this, and the invention may be stored on a storage medium such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory and distributed as a program that can be executed by a computer.

[0079] The storage medium may be any medium that can store the program and is computer-readable, and the storage format of the storage medium is not particularly limited.

[0080] In addition, an OS (operating system), database management software, network software, or other MW (middleware) running on a computer may execute some of the processes required to realize this embodiment based on instructions from a program installed on the computer from a storage medium.

[0081] Furthermore, the storage medium in the present invention is not limited to a medium independent of a computer, but also includes a storage medium that stores or temporarily stores a program downloaded via a LAN, the Internet, or the like.

[0082] Furthermore, the computer in the present invention only needs to execute each process in this embodiment based on a program stored in a storage medium, and may be a device consisting of a single personal computer or the like, or a system in which multiple devices are connected to a network.

[0083] Furthermore, the computer in this invention is not limited to a personal computer, but also includes an arithmetic processing unit included in an information processing device, and is a general term for any device or apparatus that can realize the functions of this invention by a program.

[0084] The above describes the embodiments of the present invention. However, the present invention is not limited to the above embodiments, and various modifications can be made without departing from the scope of the claims. The configurations of the above embodiments can be partially omitted or arbitrarily combined in a different manner from the above. [Explanation of symbols]

[0085] 1···Slide selection system, 2···Internet network, 10···Management server, 11···Control unit, 12···Communication device, 13···Display, 14···Various information input unit, 100···First various information storage unit, 101···Physician identification information storage unit, 102···First questionnaire processing unit, 103···First questionnaire storage unit, 104···First questionnaire response storage unit, 105···Q1 judgment criterion information storage unit, 106···Q2-1 judgment criterion information storage unit, 107···Q3 judgment criterion information storage unit, 108···Content selection processing unit, 109···Content storage unit, 110···Selected content storage unit, 1 11... Second questionnaire storage unit, 112... Second questionnaire response storage unit, 113... Physician basic tendency information database, 114... Specific physician basic tendency information acquisition unit, 115... Specific physician basic tendency information storage unit, 150... Second various information storage unit, 151... Physician behavior characteristic type storage unit, 152... Specific physician tendency information judgment unit, 153... Specific physician behavior characteristic type storage unit, 154... Support processing unit, 155... Support information storage unit, 156... MR physician slide storage unit, 157... Slide selection processing unit, 158... Recommended slide storage unit, 200... Physician terminal, T... Diabetes medication, W... Physician

Claims

1. An explanatory material selection device for selecting explanatory materials for explaining an object to an explanation target, a survey standard tendency information storage unit that stores survey standard tendency information, which is tendency information of the survey response standard of the explanation subject, generated based on the explanation subject's survey response information to the survey information related to the object; a database-based tendency information generating unit that generates database-based tendency information, which is database-based tendency information of the explanation subject regarding the object, based on a database that records various information regarding the explanation subject; An explanatory material selection device, characterized in that the explanatory material is selected based on the questionnaire reference tendency information and the database reference tendency information.

2. The explanatory material selection device according to claim 1, characterized in that it is configured to determine whether the questionnaire standard trend information and the database standard trend information differ, and if they differ, select the explanatory material corresponding to both.

3. the questionnaire information includes first questionnaire information and second questionnaire information regarding the object; The explanatory material selection device described in claim 1 or claim 2, characterized in that the second survey information is transmitted to the terminal of the person to be explained who has viewed the program information selected based on the first survey response information, which is the survey response information to the first survey information, and the response to the second survey information is the survey response information.

4. The database reference tendency information is configured to be specified by belonging to one of a plurality of explanation subject behavior characteristic types, which are characteristic classifications of the behavior of the explanation subject, 4. The explanatory material selection device according to claim 1, wherein the explanation target behavioral characteristic type is determined based on specific explanation target basic tendency information, which is basic tendency information of the explanation target.

5. A control method for an explanatory material selection device that selects explanatory materials for explaining an object to an explanation target, comprising: storing, in a survey standard tendency information storage unit, survey standard tendency information which is tendency information on the survey response standards of the explanation subject, generated based on the explanation subject's survey response information to the survey information related to the object; a database-reference tendency information generating unit generating database-reference tendency information, which is database-reference tendency information of the explanation subject regarding the object, based on a database that records various information regarding the explanation subject; A control method for an explanatory material selection device, comprising the step of selecting the explanatory material based on the questionnaire reference tendency information and the database reference tendency information.

6. a function of storing, in a questionnaire standard tendency information storage unit, questionnaire standard tendency information which is tendency information of the questionnaire response standard of the explanation subject, generated based on questionnaire response information of the explanation subject to questionnaire information regarding the object, in an explanatory material selection device which selects explanatory materials for explaining an object to the explanation subject; a function of the database-reference tendency information generation unit generating database-reference tendency information, which is database-reference tendency information of the explanation subject regarding the object, based on a database that records various information regarding the explanation subject; a control program for an explanatory material selection device that realizes a function of selecting the explanatory material based on the questionnaire reference tendency information and the database reference tendency information;

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