Family of same illness recommendation program, family of same illness recommendation device and family of same illness recommendation method

Abstract

To recommend a family of a patient to connect to a family in the same circumstances suited for information exchange.SOLUTION: A computer is caused to function as: family feature generation means for generating information indicating features of respective families on the basis of information at least either on a patient or on a family inputted to a terminal by at least either the patient or the family; similarity calculation means for calculating similarity among the families by comparing information showing the respective family features among the families; and display information generation means for determining another family whose circumstances are similar with respect to the family on the basis of the similarity among the families and displaying the information about the another family to the terminal.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a same-disease family recommendation program, a same-disease family recommendation device, and a same-disease family recommendation method. [Background technology]

[0002] There is a known system that calculates the similarity between a specific subject and multiple communities, and recommends communities that have a high affinity with the subject (for example, Patent Literature 1). In addition, there is a SNS that allows patients with the same disease, such as cancer patients, to search and view each other's profiles. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2008-107867 A Summary of the Invention [Problem to be solved by the invention]

[0004] Families of cancer patients have many worries unique to them, such as doubts about how to treat patients who have been diagnosed with cancer, worries about their future lives, and differences in the way the patient and their family think about treatment (values). In order to relieve the worries, anxieties, and stress that these families of patients have, it is effective for families of patients with the same disease to exchange information with each other. However, there was no service that recommended families in the same situation to patients' families who would be suitable for exchanging information. For this reason, patients' families had to actively search for families in the same situation by joining voluntary organizations, but this required time and effort to reduce the mental burden, making it difficult to find families with patients with the same disease.

[0005] Therefore, an object of the present invention is to recommend to a patient's family members other families in similar circumstances who are suitable for exchanging information. [Means for solving the problem]

[0006] A same-disease family recommendation program according to one embodiment of the present invention causes a computer to function as a family characteristic generation means that generates information indicating the characteristics of each family member based on information regarding the patient and / or family member input via a terminal by the patient and / or family member, a similarity calculation means that calculates the similarity between families by comparing the information indicating the characteristics of each family member between families, and a display information generation means that determines other families with similar circumstances to the family based on the similarity between families and presents information about the other families on the terminal.

[0007] A same-disease family recommendation device according to another embodiment of the present invention comprises a family characteristic generation means for generating information indicating the characteristics of each family member based on information regarding the patient and / or family member input via a terminal by at least one of the patient and / or family member, a similarity calculation means for calculating the similarity between families by comparing the information indicating the characteristics of each family member between families, and a display information generation means for determining other families whose circumstances are similar to that of the family member based on the similarity between families, and displaying information about the other families on the terminal.

[0008] Another embodiment of the present invention relates to a method for recommending families with the same disease, which includes the steps of: a computer generating information indicating the characteristics of each family member based on information regarding the patient and / or family member input via a terminal by the patient and / or family member; a computer calculating the similarity between families by comparing the information indicating the characteristics of each family member between families; and a computer determining other families with similar circumstances to the family based on the similarity between families, and displaying information about the other families on the terminal. Effect of the Invention

[0009] According to the present invention, it is possible to recommend to a patient's family members other families in similar circumstances who are suitable for exchanging information. [Brief description of the drawings]

[0010] [Figure 1] 1 is a block diagram showing the configuration of a same-disease family recommendation system 1 according to an embodiment of the present invention. [Diagram 2] 1 is a flowchart showing the flow of a same-disease family recommendation service by the same-disease family recommendation system 1 according to an embodiment of the present invention. [Diagram 3] FIG. 2 is a diagram for explaining an example of information on family characteristics generated by a family characteristic generating means 101 according to the embodiment of the present invention. [Figure 4] FIG. 2 is a diagram for explaining an example of similarity between family members calculated by the similarity calculation means 102 according to the embodiment of the present invention. [Diagram 5] FIG. 2 is a diagram illustrating a recommendation screen for family members with the same disease displayed on a family terminal 30 according to an embodiment of the present invention. [Figure 6] FIG. 2 is a diagram showing an example of a hardware configuration when the server device 10 according to the embodiment of the present invention is realized by a computer. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] Next, an embodiment of the present invention will be described in detail with reference to the drawings. FIG. 1 is a block diagram showing a configuration of a same-disease family recommendation system 1 according to an embodiment of the present invention. As shown in FIG. 1, the same-disease family recommendation system 1 includes a server device (same-disease family recommendation device) 10, patient terminals 20A and 20B, and family terminals 30A and 30B. The server device 10 is connected to the patient terminals 20A and 20B and the family terminals 30A and 30B via a communication network N. The communication network N may be, for example, the Internet, a LAN, a dedicated line, a telephone line, an in-house network, a mobile communication network, Bluetooth (registered trademark), WiFi (Wireless Fidelity), other communication lines, or a combination thereof, and may be either wired or wireless.

[0012] The same disease family recommendation system 1 is a system that provides a same disease family recommendation service for, for example, a breast cancer patient and his / her family, which introduces (recommends) a suitable family member as a consultant from among family members who have the same disease. Specifically, a recommendation service for each family member is realized by linking a server device 10 with a dedicated app implemented in the terminals of the patient and the patient's family. The patient can use the service via the patient terminal 20 by registering for use of the dedicated app on his / her own terminal (user registration). The patient's family is a family member of a patient who has registered for use of the dedicated app, and may be able to register for use after receiving an invitation / approval from the patient. The dedicated app used by the patient and the family via the patient terminal 20 and the family terminal 30 may be the same, and the patient and his / her family can communicate, such as by exchanging information, via the app, but the patient may not be able to communicate with the family members of other patients on the app. On the other hand, the family members of a patient can communicate with each other on the app.

[0013] In the example of FIG. 1, the patient terminal 20A and the family terminal 30A are terminals owned by the patient and the family of family A, respectively, and the patient terminal 20B and the family terminal 30B are terminals owned by the patient and the family of family B, respectively. The server device 10 matches the family members based on the patient information and the family information registered via a dedicated app implemented in the patient terminals 20A and 20B and the family terminals 30A and 30B, and recommends information on the family members with high similarity via the dedicated app. Note that while only the terminals of the families A and B are illustrated in FIG. 1, in reality, the terminals of many family members (patients and family members) who are registered as users are configured to be connectable to the server device 10.

[0014] The server device 10 is installed in a company or the like that provides a same-disease family recommendation service, and is a general-purpose computer equipped with a control unit (processor) 11, a storage unit 12, and a communication interface 13. Each of the server devices 10 may be composed of a single computer, or may be composed of multiple computers distributed over a communication network N. The server device 10 may also be constructed on a cloud.

[0015] The patient terminals 20A, 20B and the family terminals 30A, 30B are terminals used by the patient and the patient's family, respectively. The patient terminals 20A, 20B and the family terminals 30A, 30B can be any terminal device capable of transmitting and receiving data to and from the server device 10 via the communication network N, such as a personal computer (PC), a notebook PC, a tablet terminal, a smartphone, a mobile phone, or a personal digital assistant (PDA). The patient terminals 20A, 20B and the family terminals 30A, 30B each include a processor and a storage device as hardware.

[0016] In FIG. 1, a family characteristic generation means 101, a similarity calculation means 102, and a display information generation means 103 provided in the server device 10 indicate functional modules realized by the control unit 11 executing a program stored in the memory unit 12.

[0017] The family characteristic generating means 101 has a function of acquiring patient information and family information from the patient terminals 20A, 20B and the family terminals 30A, 30B, respectively, and generating information on the characteristics of the family (typically, the relationship between the patient and the family).

[0018] The similarity calculation means 102 has a function of calculating the similarity between family members by comparing the characteristics of each family member generated by the family characteristic generation means 101.

[0019] The display information generation means 103 has a function of determining other family members to be recommended for each family based on information regarding the similarity between family members calculated by the similarity calculation means 102, and generating display information for the patient terminals 20A, 20B and the family terminals 30A, 30B.

[0020] The server device 10 also includes a patient family database 104 implemented in the storage unit 12. The patient family database 104 may be implemented in an external storage device, such as on a cloud. The patient family database 104 stores records including the following information for each patient family member: (1)Patient family background information This includes family structure, age of family members, area of ​​residence, employment status, etc. (2)Patient background information Schedule of patient's life events (children's graduation ceremonies, etc.) (3) Psychological information The characteristics of the patient and their family, their hopes for treatment, concerns about daily life, worries (medical, financial, lifestyle, work, etc.), and priorities of each value in treatment, etc. (4) Background information on the disease Breast cancer type (HER2 positive, hormone receptor positive, triple negative, hereditary), status at time of diagnosis (initial / recurrent), stage (stage 1, 2, 3, 4), etc. (5) Treatment background information Treatment history (surgery, chemotherapy, hormone therapy, dietary therapy, counseling, etc.), supplementary treatment history (breast reconstruction, exercise therapy, dietary therapy, counseling, etc.), breast cancer treatment schedule (visits, admission and discharge, surgery, examinations, drug therapy, etc.), etc.

[0021] Next, the flow of the same-disease family recommendation service by the same-disease family recommendation system 1 will be described with reference to the flowchart in Fig. 2. The family characteristic generation means 101 acquires "patient information" and "family information" from the patient terminals 20A and 20B and the family terminals 30A and 30B (step S101). The acquired "patient information" and "family information" may be stored in the patient family database 104 as "registration information".

[0022] "Patient information" is information about the patient himself / herself. Patient information is mainly input by the patient himself / herself by operating the patient terminal 20, but may also be information input by the patient's family. Specifically, it includes general information about the patient (age, occupation, place of residence, sex, etc.), priorities of values ​​in treatment (priorities of money, early treatment, severity of side effects, prognosis, length of hospitalization, etc.), and information about the condition (stage, treatment history, medication status, pain, etc.).

[0023] "Family information" is information about the patient's family. Family information is mainly entered by the patient's family by operating the family terminal 30, but may also be entered by the patient himself / herself. Specifically, it includes general information about the family (age, occupation, place of residence, sex, relationship to the patient, etc.) and the priority of each value in treatment (priority of money, early treatment, severity of side effects, prognosis, length of hospitalization, etc.).

[0024] The family characteristic generating means 101 generates information on the characteristics of the family based on the acquired patient information and family information (step S102). FIG. 3 is a diagram for explaining an example of information on the characteristics of the family generated by the family characteristic generating means 101. In the example of FIG. 3, an example of calculating the degree of difference in values ​​in treatment between the patient and the family is shown as a family characteristic. FIG. 3 illustrates the degree of difference in values ​​between the patient and the family in family A consisting of the patient himself and two family members (family 1: wife, family 2: child). FIG. 3 shows the priority order ("4" is the highest priority and "1" is the lowest) of four items of values ​​in treatment (money, early treatment, severity of side effects, length of hospitalization) for the patient and each family member. For example, the patient himself has the highest priority of "money", and family 1 (wife) and family 2 (child) have the highest priority of "length of hospitalization".

[0025] The family characteristic generating means 101 calculates the degree of dissimilarity between the patient and the family for each item. The degree of dissimilarity for each item can be calculated by the following formula [1].

[0026] Difference in item X (patient, family 1, ..., family n, priority of item X) = f(Patient's priority of item X) - (1 / n) { f(Family 1's priority of item X) + ... + f(Family n's priority of item X)} ... [1] where f(4)=1, f(3)=1 / 2, f(2)=-1 / 2, f(1)=-1

[0027] For example, in the example of Figure 3, the dissimilarity regarding "money" is calculated as follows: Differences in money (patient, family 1, family 2, money priorities) =f(Patient's financial priorities)-(1 / 2){f(Family 1's financial priorities)+f(Family 2's financial priorities)} =f(4)-(1 / 2){f(1)+f(2)} =1-(1 / 2){-1-1 / 2} =1+3 / 4 =1.75

[0028] In addition, in the example of Figure 3, the degree of difference regarding "severity of side effects" is calculated as follows. Differences in severity of side effects (patient, family 1, family 2, priority of severity of side effects) =f(Patient's side effect severity priority)-(1 / 2){f(Family member 1's side effect severity priority)+f(Family member 2's side effect severity priority)} =f(2)-(1 / 2){f(3)+f(1)} =-1 / 2-(1 / 2){1 / 2-1} =-1 / 2+1 / 4 =-0.25

[0029] As shown above, for an item where the patient's priority is significantly higher than the consensus of the family's priorities ("money"), the discrepancy is a relatively large positive value. On the other hand, for an item where the patient's priority is slightly lower than the consensus of the family's priorities ("severity of side effects"), the discrepancy is a relatively small negative value.

[0030] Next, the similarity calculation means 102 compares the information on the characteristics of each family member generated by the family characteristic generation means 101, and calculates the similarity between the family members (step S103).

[0031] Fig. 4 is a diagram for explaining an example of the similarity between families calculated by the similarity calculation means 102. In the example of Fig. 4, the similarity between families is calculated by comparing the degree of difference in values ​​regarding treatment between the patient and the family in each family. Fig. 4 shows the calculation results of the degree of difference in values ​​regarding treatment between the patient and the family in families A, B, and C.

[0032] The similarity calculation means 102 can calculate the similarity between family members by the following formula [2]. Family similarity (Family 1, Family 2) =(1 / n){|The degree of difference in values ​​for the first item of family 1 - the degree of difference in values ​​for the first item of family 2|+...+|The degree of difference in values ​​for the nth item of family 1 - the degree of difference in values ​​for the nth item of family 2|}...[2]

[0033] For example, in the example of Figure 4, the similarity between family A and family B is calculated as follows: Similarity between families (Family A, Family B) =(1 / 4){|Difference in Family A's values ​​on money - Difference in Family B's values ​​on money| +|Difference in Family A's values ​​regarding early treatment - Difference in Family B's values ​​regarding early treatment| +|Difference in the value of the severity of side effects between family A and family B| +|Difference in value of length of hospital stay for family A - Difference in value of length of hospital stay for family B|} =(1 / 4){|1.75-0.25|+|0.50+1.00|+|-0.25-1.25|+|2.00-1.00|} =1.375

[0034] Similarly, the similarity between family A and family C is calculated as follows: Similarity between families (Family A, Family C) =(1 / 4){|1.75-1.75|+|0.50-0.25|+|-0.25+0.25|+|2.00-1.75|} =0.125

[0035] The closer the similarity value is to "0," the higher the similarity between family members. Note that, in this case, it is assumed that the patients' disease condition (stage), age group, and gender are the same.

[0036] The display information generating means 103 determines other families to be recommended for each family based on the similarity between the families calculated by the similarity calculating means 102 (step S104). For example, in the example of Fig. 4, family C, which has a higher similarity to family A (the value of the similarity is closer to "0"), is determined as the family to be recommended.

[0037] The display information generating means 103 displays the information of the family member to be recommended on the patient terminal and the family terminal of the target family member (step S105). FIG. 5 is a diagram illustrating an example of a same disease family recommendation screen displayed on the family terminal 30. As shown in FIG. 5, area P1 of the screen displays information on the family member to be recommended (family member C), and area P2 displays information on the degree of difference in values ​​between the family member to be recommended (family member A) and the patient himself / herself. Specifically, area P1 displays information on the patient of family member C (stage, sex, age group) and the degree of difference in values ​​between the patient and the family in each item of values ​​(money, early treatment, severity of side effects, length of hospitalization). Area P2 displays the priority of the patient and the family for each item of values ​​(money, early treatment, severity of side effects, length of hospitalization) and the degree of difference between them on a graph, and the difference in priority for each item is displayed in an easy-to-understand manner.

[0038] If the patient family member of Family A or the patient himself / herself wishes to exchange information with or consult with Family C using the information displayed on the screen shown in FIG. 5 as a reference, he / she can select button B to connect with Family C via a dedicated app. If Family A does not select Family C, the family member with the next highest similarity (e.g., Family B) may be recommended, and information may be presented on a screen similar to that of FIG. 5. In this way, families with patients with the same disease can be recommended in order of similarity.

[0039] As described above, according to this embodiment, for a family member with a patient of breast cancer or the like, it is possible to recommend family members with patients with the same disease who can be contacted in order of similarity based on background information of the patient and family and the relationship between the patient and family. In addition, since the similarity for each item is displayed in an easy-to-understand manner, it is possible to know the affinity with the recommended family member in more detail.

[0040] By utilizing the same disease family recommendation system 1 according to the present invention, it is possible to introduce other families who have similar differences in thinking between the patient and the family, so that when discussing worries or exchanging information, it is easier for both parties to sympathize with each other and there is a higher chance of obtaining useful information.

[0041] In addition, for patients and families who are under a lot of mental stress, this system allows them to efficiently find families with whom they have a high affinity without having to search for other family members themselves, which helps to reduce the mental stress at an early stage without placing an unnecessary burden on the patient's family.

[0042] In the above, a specific example is described in which the similarity between family members is determined based on differences in the priorities of values ​​regarding treatment between the patient and his / her family. However, the present invention may be configured to determine the similarity between family members based on at least one of "(I) the social relationship between the patient and his / her family," "(II) the psychological relationship between the patient and his / her family," and "(III) the patient's disease condition."

[0043] "(I) Social relationship between the patient and the family" is determined, for example, using classification according to a predetermined rule or a value quantified according to a predetermined rule based on (1) patient family background information and (2) patient background information stored in the patient family database 104. This makes it possible to recommend, for example, families with the same or similar family structure, families with a similar age difference between the patient and the family, families with similar life events planned, etc.

[0044] "(II) Psychological relationship between the patient and the family" is determined, for example, based on (3) psychological information stored in the patient and family database 104, using classification according to a predetermined rule or a value quantified according to a predetermined rule. This includes the determination based on the priority of values ​​in treatment in the above embodiment. This makes it possible to recommend families that have in common, for example, the degree of agreement between the treatment plans of the patient and the family, or the worries that the patient or the family have.

[0045] "(III) Patient's disease status" is determined, for example, using classification according to a predetermined rule or a value quantified according to a predetermined rule based on (4) Disease background information and (5) Treatment background information stored in the patient family database 104. This makes it possible to recommend family members who have similar treatment status, years of treatment, and improvement status of the patient's condition, for example.

[0046] The server device 10 may score the similarity of items (I) to (III) between a family searching for a family with the same disease and other families registered in the patient family database 104, and recommend families in order of the highest total score. In addition, a family searching for a family with the same disease may be allowed to specify items to be emphasized in the search. For example, weighting of each of the three items (e.g., I:II:III=1:3:2) may be allowed to be specified. In this case, when the similarity calculation means 102 scores the similarity, the score of each item may be multiplied by the specified weighting before calculating the total score.

[0047] In addition, after interacting with the recommended family, feedback on whether or not the patient actually felt a high degree of similarity may be accepted. For example, a graded evaluation such as "similar circumstances, very similar, somewhat similar, not very similar, not at all similar" may be made. The feedback results may be recorded in the patient family database 104 and may be referred to the next time a recommendation is made.

[0048] In the above embodiment, the service is described as being targeted at breast cancer patients and their families, but it is also effective for cancer patients other than breast cancer and their families. For example, other types of cancer such as lung cancer, stomach cancer, colon cancer, pancreatic cancer, prostate cancer, liver cancer, esophageal cancer, and cervical cancer may be used. In addition, the type of disease is not limited to cancer, and similar services can be provided to patients and their families with serious diseases such as diseases with long treatment periods or diseases with little information on treatment.

[0049] The present invention is not limited to the above-described embodiment, and can be implemented in various other forms without departing from the scope of the present invention. Therefore, the above-described embodiment is merely an example in every respect, and should not be interpreted as being restrictive. For example, the order of each of the above-described processing steps can be arbitrarily changed or executed in parallel as long as no contradiction occurs in the processing content.

[0050] (Hardware configuration) An example of a hardware configuration in which the server device 10 is realized by a computer 70 will be described with reference to Fig. 6. Note that the functions of each device can also be realized by dividing them into a plurality of devices.

[0051] As shown in FIG. 6, a computer 70 includes a processor 700 , a storage device 702 , an input I / F 704 , a data I / F 706 , a communication I / F 708 , and a display device 710 .

[0052] The processor 700 controls various processes in the computer 70 by executing programs stored in the storage device 702. For example, each functional unit of the server device 10, the patient terminals 20A and 20B, and the family terminals 30A and 30B can be realized by the processor 700 executing the programs stored in the storage device 702.

[0053] The storage device 702 is a storage medium such as a random access memory (RAM), etc. The RAM temporarily stores the program code of the program executed by the processor 700 and data required when the program is executed.

[0054] The storage device 702 may also be a non-volatile storage medium such as a hard disk drive (HDD) or a flash memory. The storage device 702 stores an operating system and various programs for implementing the above-mentioned configurations. The storage medium storing the various programs may be a non-transitory computer readable medium. In addition, the storage device 702 may store a table for registering various information and a DB for managing the table. Such programs and data are loaded into the storage device 702 as necessary and referred to by the processor 700.

[0055] The input I / F 704 is a device for receiving input from a user. Specific examples of the input I / F 704 include a camera, a button, a microphone, a keyboard, a mouse, a touch panel, various sensors, and a wearable device. The input I / F 704 may be connected to the computer 70 via an interface such as a Universal Serial Bus (USB).

[0056] The data I / F 706 is a device for inputting data from outside the computer 70. A specific example of the data I / F 706 is a drive device for reading data stored in various storage media. The data I / F 706 may be provided outside the computer 70. In that case, the data I / F 706 is connected to the computer 70 via an interface such as a USB.

[0057] The communication I / F 708 is a device for performing data communication with an external device of the computer 70 via the communication network 5 in a wired or wireless manner. The communication I / F 708 may be provided outside the computer 70. In that case, the communication I / F 708 is connected to the computer 70 via an interface such as a USB.

[0058] The display device 710 is a device for displaying various types of information. Specific examples of the display device 710 include a liquid crystal display, an organic EL (Electro-Luminescence) display, and a display of a wearable device. The display device 710 may be provided outside the computer 70. In that case, the display device 710 is connected to the computer 70 via, for example, a display cable. In addition, when a touch panel is adopted as the input I / F 704, the display device 710 can be configured integrally with the input I / F 704.

[0059] The components of the server device 10, the patient terminals 20A and 20B, and the family terminals 30A and 30B described in the above embodiment are assumed to realize predetermined processing in cooperation with other hardware by the processor 700 executing a program stored in the storage device 702. In other words, these components are assumed to be software or firmware, and also corresponding hardware, and in both concepts, they are also described as "functions," "means," "parts," "processing circuits," "units," or "modules," and can be interpreted as each of these.

[0060] The embodiment of the present invention can also be described as follows: (Appendix 1) Computer, a family characteristic generating means for generating information indicating characteristics of each family member based on information on at least one of the patient and the family member inputted via a terminal by at least one of the patient and the family member; a similarity calculation means for calculating a similarity between family members by comparing information indicating characteristics of each family member between the family members; A program for recommending families with the same disease that determines other family members with similar circumstances to the family based on the similarities between the family members and functions as a display information generation means for presenting information about the other family members on the terminal.

[0061] (Appendix 2) The family characteristic generation means A recommendation program for families with the same disease as described in Appendix 1, which generates information indicating the relationship between the patient and the family based on information entered by the patient and information entered by the family as information indicating the characteristics of the family.

[0062] (Appendix 3) The family characteristic generation means A recommendation program for families with the same disease as described in Appendix 2, which generates information indicating the degree of agreement of items to be prioritized in treatment as information indicating the relationship between the patient and their family.

[0063] (Appendix 4) The display information generating means A program for recommending families with the same disease as described in any one of appendix 1 to 3, which presents information about other family members in order of the degree of similarity between the family members.

[0064] (Appendix 5) The similarity calculation means A recommendation program for families with the same disease described in any one of Appendices 1 to 4, which calculates the similarity between family members by reflecting weightings specified by the patient or his / her family for multiple items that indicate family characteristics.

[0065] (Appendix 6) a family characteristic generating means for generating information indicating characteristics of each family member based on information on at least one of the patient and the family member inputted via a terminal by at least one of the patient and the family member; a similarity calculation means for calculating a similarity between family members by comparing information indicating characteristics of each family member between the family members; The same disease family recommendation device is equipped with a display information generation means that determines other family members whose circumstances are similar to that of the family based on the similarity between the family members, and displays information about the other family members on the terminal.

[0066] (Appendix 7) A step of generating information indicating characteristics of each family member based on information on at least one of the patient and the family member inputted by at least one of the patient and the family member via a terminal by the computer; A step in which a computer calculates a similarity between family members by comparing information indicating characteristics of each family member between the family members; A method for recommending families with the same disease, comprising a step of a computer determining other family members whose circumstances are similar to that of the family based on the similarity between the family members, and displaying information about the other family members on the terminal. [Explanation of symbols]

[0067] 1…Recommendation system for families with the same disease 10. Server equipment 11...Control section 12...Storage section 13...Communication interface 20A, 20B: Patient terminal 30A, 30B...Family terminal 70…Computer 101...Family characteristic generation means 102...Similarity calculation means 103…Display information generation means 104…Patient Family Database 700…processor 702...Storage device 704…Input I / F 706…Data I / F 708…Communication I / F 710…Display device

Claims

1. Computer, a family characteristic generating means for generating information indicating characteristics of each family member based on information on at least one of the patient and the family member inputted via a terminal by at least one of the patient and the family member; a similarity calculation means for calculating a similarity between family members by comparing information indicating characteristics of each family member between the family members; A program for recommending families with the same disease that determines other family members with similar circumstances to the family based on the similarities between the family members and functions as a display information generation means for presenting information about the other family members on the terminal.

2. The family characteristic generation means The same disease family recommendation program of claim 1 , which generates information indicating the relationship between the patient and the family based on information entered by the patient and information entered by the family as information indicating the characteristics of the family.

3. The family characteristic generation means The recommendation program for families with the same disease according to claim 2 , further comprising generating information indicating a degree of agreement between items prioritized in treatment as the information indicating the relationship between the patient and the family.

4. The display information generating means The program for recommending family members with the same disease according to claim 1 , wherein information on other family members is presented in descending order of the degree of similarity between the family members.

5. The similarity calculation means The program for recommending families with the same disease according to claim 1 , wherein when calculating the similarity between family members, the similarity between family members is calculated by reflecting weightings specified by the patient or his / her family for multiple items indicating family characteristics.

6. a family characteristic generating means for generating information indicating characteristics of each family member based on information on at least one of the patient and the family member inputted via a terminal by at least one of the patient and the family member; a similarity calculation means for calculating a similarity between family members by comparing information indicating characteristics of each family member between the family members; The same disease family recommendation device is equipped with a display information generation means that determines other family members whose circumstances are similar to that of the family based on the similarity between the family members, and displays information about the other family members on the terminal.

7. A step of generating information indicating characteristics of each family member based on information on at least one of the patient and the family member inputted by at least one of the patient and the family member via a terminal by the computer; A step in which a computer calculates a similarity between family members by comparing information indicating characteristics of each family member between the family members; A method for recommending families with the same disease, comprising a step of a computer determining other family members whose circumstances are similar to that of the family based on the similarity between the family members, and displaying information about the other family members on the terminal.

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