Medical information estimation device and medical information estimation program

Abstract

To provide a medical information estimation device for estimating medical information for the entire group.SOLUTION: A medical information estimation device comprises: medical data acquisition means that acquires first medical data related to medical treatment on a first group that is part of the entire group; condition acquisition means that acquires a specified period and an outcome condition; statistic acquisition means that acquires statistics matching the outcome condition in a first period in relation to the entire group as the statistics of the entire group; and estimation means that, on the basis of a relation between the statistics of the entire group and the statistics of the first group matching the outcome condition in the first medical data, in an estimation period that is a period different from the first period and during which the first medical data is available, corrects the statistics of the first group matching the outcome condition in the first medical data to estimate the statistics of the entire group in the estimation period.SELECTED DRAWING: Figure 5

Description

[Technical field]

[0001] The present invention relates to a medical information estimation device and a medical information estimation program. [Background technology]

[0002] For patients who have been examined, prescribed medicine, and received treatment at a medical institution, a medical fee statement, so-called receipt data, is prepared to bill insurers (health insurance associations, local governments, etc.) for the costs of insured treatment (Non-Patent Document 1). In addition, the DPC system has been introduced to comprehensively evaluate information on diagnoses and treatments at medical institutions as DPC (Diagnosis Procedure Combination) data (Non-Patent Document 2). [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] https: / / ja.wikipedia.org / wiki / Reception [Non-Patent Document 2] https: / / www.mdv.co.jp / ebm / column / article / 16.html Summary of the Invention [Problem to be solved by the invention]

[0004] Meanwhile, there is a demand for technology to estimate the number of patients with a specific disease in order to investigate the demand for consultations, medicines, treatment, etc. Such estimation can be done based on medical receipt data held by health insurance associations and local governments. However, there is a problem in that the period of the medical receipt data provided by each association and local government is different, and accurate estimation is difficult for periods when medical receipt data is missing. [Means for solving the problem]

[0005] One aspect of the present invention is a medical information estimation device comprising: a medical data acquisition means for acquiring first medical data related to the medical care of a first population, which is a part of an overall population; a condition acquisition means for acquiring a specified period and an outcome condition; a statistics acquisition means for acquiring statistics that meet the outcome condition in a first period for the overall population as statistics of the overall population; and an estimation means for correcting the statistics of the first population that meet the outcome condition in the first medical data in an estimation period different from the first period and for which the first medical data is available, based on the relationship between the statistics of the overall population and the statistics of the first population that meet the outcome condition in the first medical data.

[0006] Another aspect of the present invention is a medical information estimation program characterized by causing a computer to function as: a medical data acquisition means for acquiring first medical data related to the medical care of a first population, which is a part of an overall population; a condition acquisition means for acquiring a specified period and an outcome condition; a statistics acquisition means for acquiring statistics that meet the outcome condition in a first period for the overall population as statistics of the overall population; and an estimation means for correcting the statistics of the first population that meet the outcome condition in the first medical data in an estimation period different from the first period and for which the first medical data is available, based on the relationship between the statistics of the overall population and the statistics of the first population that meet the outcome condition in the first medical data.

[0007] Here, it is preferable that the estimation means calculates a coefficient by dividing the statistics of the entire population by the statistics of the first population that meet the outcome condition in the first medical data during the first period, and multiplies the statistics of the first population that meet the outcome condition in the first medical data for the estimation period by the coefficient to estimate the statistics of the entire population during the estimation period.

[0008] In addition, the first medical data is preferably medical data obtained from a medical institution with which MDV has obtained permission to use the data during both the first period and the estimation period. Furthermore, the statistics of the entire population during the first period may refer to a public data source such as a National Database. Effect of the Invention

[0009] According to the present invention, it is possible to provide a medical information estimation device and a medical information estimation program for estimating medical information for an entire population. Other objects of the embodiments of the present invention will become apparent by reference to the entire specification. [Brief description of the drawings]

[0010] [Figure 1] 1 is a diagram showing a configuration of a medical information estimation system according to an embodiment of the present invention. [Diagram 2] FIG. 2 is a diagram showing a configuration of a server according to an embodiment of the present invention. [Diagram 3] FIG. 2 is a diagram showing a configuration of a client according to an embodiment of the present invention. [Figure 4] 1 is a flowchart showing a medical information estimation process according to an embodiment of the present invention. [Diagram 5] FIG. 2 is a diagram illustrating a medical information estimation process according to an embodiment of the present invention. [Figure 6] FIG. 11 is a diagram showing an example of an available period for medical data according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] [System Configuration] As shown in Fig. 1, a medical information estimating system 100 according to an embodiment of the present invention includes a server 102 and a client 104. The client 104 may be a single client or a plurality of clients. The server 102 and the client 104 are connected to each other via an information and communication network 106 such as the Internet so as to be able to exchange information with each other.

[0012] The information and communication network 106 is not limited to the Internet, but may be anything that can communicatively connect the server 102 and the client 104 to each other. For example, it may be a dedicated line, a public line (telephone line, mobile communication line, etc.), a wired LAN (Local Area Network), a wireless LAN, etc., or it may be a combination of the Internet and these.

[0013] As shown in FIG. 2, the server 102 includes a processing unit 10, a storage unit 12, an input unit 14, an output unit 16, and a communication unit 18. The processing unit 10 includes a means for performing arithmetic processing, such as a CPU. The processing unit 10 executes a medical information estimation server program stored in the storage unit 12, thereby realizing a function of performing medical information estimation in the medical information estimation system 100 in this embodiment. The storage unit 12 includes a storage means, such as a semiconductor memory or a memory card. The storage unit 12 is connected to the processing unit 10 so as to be accessible, and stores information necessary for medical information estimation processing, such as a medical information estimation server program, receipt data, and DPC data. The input unit 14 includes a means for inputting information. The input unit 14 includes, for example, a keyboard, a touch panel, a button, etc., for receiving input from an administrator. The output unit 16 includes a means for outputting a processing result in the server 102, such as a user interface screen (UI) for receiving input information from an administrator. The output unit 16 includes, for example, a display for presenting an image to the administrator. The communication unit 18 is configured to include an interface for communicating information with the client 104 via the information communication network 106. The communication by the communication unit 18 may be wired or wireless. The communication unit 18 may also receive information required for estimating medical information, such as receipt data and DPC data, from computers installed in medical institutions, national institutions, local governments, health insurance associations, information providers, etc.

[0014] The server 102 accepts access via the information and communications network 106 from users' clients 104 who wish to receive information on medical information estimation, estimates the medical information requested by each user, and transmits the results to the users' clients 104.

[0015] As shown in FIG. 3, the client 104 includes a processing unit 20, a storage unit 22, an input unit 24, an output unit 26, and a communication unit 28. The client 104 is also called a communication terminal. The processing unit 20 includes a means for performing arithmetic processing such as a CPU. The processing unit 20 realizes the function of a client terminal in the medical information estimation system 100 in this embodiment by executing a medical information estimation client program stored in the storage unit 22. The storage unit 22 includes a storage means such as a semiconductor memory or a memory card. The storage unit 22 is connected to the processing unit 20 so as to be accessible, and stores the medical information estimation client program and information required for the processing. The input unit 24 includes a means for inputting information. The input unit 24 includes, for example, a keyboard, a touch panel, a button, etc. for receiving input from a user. The output unit 26 includes a means for outputting information required for processing in the client 104, such as a screen for receiving input information from a user and a display for displaying an image when presenting an estimation result of medical information. The communication unit 28 includes an interface for communicating information with the server 102 via the information and communication network 106. The communication by the communication unit 28 may be wired or wireless.

[0016] Various information processing devices capable of executing a client program for providing medical information estimation can be applied to the client 104. For example, the client 104 can be a stationary or portable medical information providing terminal installed in a medical institution or the like, a personal computer (PC), a tablet computer, a smartphone, a mobile phone terminal, a PHS (Personal Handy-phone System) terminal, a portable information terminal (PDA: Personal Digital Assistant), a multi-function television receiver equipped with an information processing function (so-called smart TV), and the like.

[0017] [Medical information estimation processing] The medical information estimation process is performed by the medical information estimation system 100. The statistics as medical information estimated by the medical information estimation system 100 can be the number of patients, the number of cases of medical examinations, treatments, and medications, and the amount of use, and financial information (amount) related to medical care. However, it is not limited to these, and any information related to medical care can be used.

[0018] The medical information estimation process is performed using first medical data related to the medical care of a first group that is a part of the entire population. The entire population can be, for example, a country. However, the entire population is not limited to this, and can be, for example, a local administrative division (prefecture, city, town, village, etc.).

[0019] The first group can be a group of patients who have visited a medical institution that provides DPC data. As an example, the first group is a set of elements consisting of patients at medical institutions throughout Japan that have a data provision contract with Medical Data Vision Co., Ltd. (MDV). In this case, examples include DPC data (Diagnosis Procedure Combination Data) created based on information provided by medical institutions that have a contract with MDV.

[0020] DPC data includes a 14-digit DPC code and multiple files. The DPC code includes information such as major disease complex code (MDC), classification code, pathological classification, surgery classification, details of surgery / treatment, secondary injury / disease name, and severity. The multiple files include simplified medical record information, facility information, medical information other than medical insurance treatment, fee-for-service information based on the medical fee schedule, comprehensive receipt information, and fee-for-service information based on the medical fee schedule for outpatients. In this way, DPC data includes information necessary to estimate medical information.

[0021] The first population is a set of only patients who visited medical institutions that have a contract with MDV. In other words, the first population does not include healthy people. Therefore, it is not possible to estimate medical information per person in a population that includes healthy people from DPC data alone. The medical institutions in the first population are the same set of medical institutions for which MDV has obtained permission (contract) to use data in both the first period t1, which is the basis for the estimation described below, and the estimation period t2, which is the subject of the estimation.

[0022] In the medical information estimating system 100, a process of estimating medical information is performed using the first medical data. Hereinafter, the process of estimating medical information by the medical information estimating system 100 will be described with reference to the flowchart shown in FIG. 4. In this embodiment, a mode of estimating medical information for each combination of gender and age will be described. However, this is not limited to this, and the gender and age for estimating medical information may be set in the outcome condition described later.

[0023] In step S10, an initial setting process is performed. Through the process in this step, the medical information estimating system 100 functions as an initial setting means (including a medical data acquiring means).

[0024] The server 102 acquires the DPC data from the MDV, and stores it in the storage unit 12 as first medical data.

[0025] Also, a login process is performed from the client 104 used by the user requesting an estimation of medical information. The user uses the input unit 24 of the client 104 to input information required for logging in to the medical information provision service, such as a user ID and a password. The client 104 transmits the information required for logging in to the server 102 via the communication unit 28 and the information communication network 106. When the server 102 receives the information required for logging in via the communication unit 18, it permits the client 104 to log in if the information satisfies the conditions for permitting logging in.

[0026] In step S12, a process of acquiring a designated period for estimating medical information is performed. Through the process in this step, the medical information estimation system 100 functions as a part of a condition acquisition means. In step S10, a screen is displayed on the output unit 26 of the logged-in client 104, prompting input of the period for estimating medical information. The user inputs the period for estimating medical information using the input unit 24 of the client 104. In this embodiment, the designated period includes the period during which the first medical data is available. The client 104 transmits the period for estimating medical information inputted to the server 102 through the information communication network 106 via the communication unit 28. When the server 102 receives the period for estimating medical information via the communication unit 18, the server 102 stores the period as a designated period in the storage unit 12.

[0027] In step S14, a process of acquiring an outcome condition is performed. Through the process in this step, the medical information estimation system 100 functions as a part of a condition acquisition means. The outcome condition is a condition for performing an extraction process from the first medical data. The outcome condition can be information that can be extracted from the first medical data, such as the name of a disease, a prescribed drug, a type of medical treatment, sex, age, etc. The outcome condition may be a single condition or a combination of multiple conditions.

[0028] For example, if one wishes to estimate the number of patients diagnosed with "diabetes" as medical information, the name of the disease, "diabetes," is set as an outcome condition. If one wishes to estimate the number of patients prescribed a specific drug as medical information, the name of the drug is set as an outcome condition. Similarly, other outcome conditions, such as the type of medical procedure, gender, age, etc., may be set. Furthermore, multiple conditions may be combined to set an outcome condition, such as combining the name of the disease with the prescribed drug.

[0029] In step S10, a screen prompting the user to input outcome conditions is displayed on the output unit 26 of the client 104 that has logged in. The user inputs the outcome conditions using the input unit 24 of the client 104. The client 104 transmits the input outcome conditions to the server 102 via the communication unit 28 and the information and communication network 106. When the server 102 receives the outcome conditions via the communication unit 18, it stores them in the memory unit 12 as outcome conditions.

[0030] In addition, if you want to estimate medical information related to a new drug or a new medical treatment or treatment, you can set an existing drug that replaces the new drug or an existing medical treatment or treatment that replaces the new medical treatment or treatment as an outcome condition. This makes it possible to estimate the number of patients to whom the new drug or new medical treatment or treatment can be applied, the number of medical treatments, treatments, and medications, the amount used, and financial information (amount).

[0031] In step S16, a process of acquiring statistics is performed. Through the process in this step, the medical information estimation system 100 functions as a statistics acquisition means. The server 102 acquires statistics that match the outcome condition in the first time period t1 for the entire population, and stores the statistics in the storage unit 12 as statistics for the entire population. If the entire population is the entire nation, the statistics are stored as the number of national outcomes N that match the outcome condition O for the combination of sex and age in the first time period t1 for the entire population SET. SET (O,sex,age,t1) This indicates that.

[0032] Number of national outcomes for the entire population SET N SET (O,sex,age,t1) can be obtained from external databases such as the National DataBase (NDB). In addition, the number of national outcomes for the entire population SET, N SET (O,sex,age,t1) can also be estimated based on the second medical data by the estimation process described below.

[0033] In step S18, an estimated period is set. Through the processing in this step, the medical information estimation system 100 functions as an estimated period setting means. The server 102 divides the designated period designated in step S12 into an estimated period t2, which is a predetermined time unit. The time unit can be one month, three months, six months, one year, etc.

[0034] For example, if the specified period is from 18 months ago (the beginning of the month 18 months ago) to 7 months ago (the end of the month 7 months ago) and the time unit is set to 1 month, the estimated period t2 will be set in order of 1 month from 18 months ago (the beginning to the end of the month 18 months ago), 1 month from 17 months ago (the beginning to the end of the month 17 months ago), and 1 month from 7 months ago (the beginning to the end of the month 7 months ago).

[0035] In this embodiment, an example will be described in which the designated period is set to every month before seven months. However, this is not limited to this, and even if another time unit is set, the estimation process can be performed in the set time unit in the same way.

[0036] For the estimation period t2, as shown in Figure 5, the statistics of the first population set1 that meets the outcome condition O in the first medical data in the first period t1 (number of data outcomes N1 set1 (O,sex,age,t1) ) and the number of national outcomes for the overall population SET obtained in step S16 (N SET (O,sex,age,t1) ) based on the relationship between the coefficient k1 and the (O,sex,age) Calculate.

[0037]

number

[0038] Then, as shown in formula (2), the number of statistical data outcomes N1 of the first population set1 that meets the outcome condition O in the first medical data of the estimation period t2, which is a period different from the first period t1, is calculated. set1 (O,sex,age,t2) to coefficient k1 (O,sex,age)The statistics for the overall population SET (number of national outcomes N (t2) =N SET (o,sex,age,t2) ) is estimated.

[0039]

number

[0040] As described above, the process of estimating medical information is performed based on the first medical data.

[0041] In step S22, it is determined whether the medical information estimation process has been completed for the entire specified period. If the entire specified period specified in step S12 has been set as the estimated period in step S18, the server 102 proceeds to step S24, and if the entire period has not been set as the estimated period, the server 102 returns to step S18 to set the next estimated period and repeats the medical information estimation process in step S20.

[0042] In step S24, the result of the medical information estimation process is output. Through the process in this step, the medical information estimation system 100 functions as an estimation result output means. The server 102 transmits the medical information estimation result obtained by the medical information estimation process through the information communication network 106 via the communication unit 18 to the client 104 used by the user who requested the medical information estimation. The client 104 receives the medical information estimation result through the communication unit 28, and presents the medical information estimation result to the user using the output unit 26.

[0043] In the above embodiment, an example of a process for estimating the number of patients as medical information has been described, but if the number of medical examinations, treatments, or medications that match the outcome conditions and financial information (amounts) related to medical care are extracted as the number of outcomes, it is possible to similarly estimate the number of medical examinations, treatments, or medications and financial information (amounts) related to medical care.

[0044] As described above, according to the present embodiment, it is possible to provide a medical information estimation device and a medical information estimation program for estimating medical information for an entire population.

[0045] [Estimation of statistics for the entire population] In the above step S16, statistics of the entire population are acquired, but the statistics of the entire population can also be estimated using second medical data related to the medical care of a second population that is a part of the entire population by the process shown below. Note that medical data of a third or more populations may also be processed. In this case, the medical information estimation system 100 functions as a medical information estimation means by the process in this step.

[0046] The second group may be, for example, a group including a first subgroup whose elements are members of a health insurance association and a second subgroup whose elements are members of national health insurance. In this case, the second medical data includes health insurance receipt data submitted to the health insurance association by a medical institution and ledger information of members of the health insurance association. The second medical data may also include health checkup data that collects the results of health checkups of members of the health insurance association. The health insurance receipt data may be health insurance receipt data related to a portion of members who are members of the health insurance association. The second medical data may also include municipal receipt data submitted to a local government by a medical institution and ledger information of members of national health insurance. The municipal receipt data may be municipal receipt data related to a portion of members who are members of national health insurance. The second medical data may also include health checkup data that collects the results of health checkups of members of national health insurance.

[0047] In this embodiment, the entire population is defined as a group consisting of all members of health insurance societies and national health insurance. However, this is not limited to this, and other groups such as the medical care system for the elderly and other insurance systems may also be included in the entire population.

[0048] The second medical data includes information necessary to estimate medical information such as prescribed medications, examination results (disease name, etc.), and medical procedures (types and results of tests performed, details of treatment (procedures) and surgery, etc.) The register information also includes the subscriber's gender, age, and subscription period.

[0049] In addition, there may be differences in the data availability period between the secondary medical data, i.e., health insurance claim data and local government claim data, and the primary medical data, i.e., DPC data. For example, as shown in Figure 6, there is a delay before health insurance claim data and local government claim data are available, and only data older than about 7 months can be used for health insurance claim data, and only data older than about 9 months can be used for local government claim data. On the other hand, there is a short delay before DPC data is available, and data older than about 2 months can be used.

[0050] The second group, health insurance associations and national health insurance, is a collection of the subscribers who are members of these associations. In other words, the second group is a collection of the population that includes not only subscribers who have visited medical institutions as patients, but also healthy subscribers. Therefore, by using the second medical data, health insurance receipt data and local government receipt data, it is possible to estimate medical information per subscriber (element) of the population that includes healthy people.

[0051] The server 102 acquires health insurance receipt data and local government receipt data related to national health insurance from computers installed in health insurance associations and local governments, and stores each of them in the memory unit 12 as second medical data.

[0052] In the following, when it is considered that the entire population can be divided into multiple sets, the divided sets are called SET. Furthermore, it is assumed that data for a representative subset set for each divided set SET is currently available. Here, in the medical data held for the set set, the number of people of sex sex and age age belonging to the first period t1 is L set (sex,age,t1)This is called the number of data subscribers of the set. set (sex,age,t1) The total number of people who have data that meet outcome condition O (which may be the number of medications or the amount of money depending on the outcome condition) is N set (O,sex,age,t1) Let us call this the "number of data outcomes in the population set." In this case, the number of data outcomes per person in the population set for the first period t1, sex, age, outcome condition O, P set (O,sex,age,t1) is expressed by equation (3).

number

[0053] For the population SET into which the entire population is divided, population information by sex, age, and year and month is obtained. Let us call this the "number of national subscribers to the population SET" L SET (sex,age,t1) In addition, the above L SET (sex,age,t1) The total number of people who meet the outcome condition O (or the number of medications or the amount of money, depending on the outcome condition) is N SET (O,sex,age,t1) Let us call this the "number of national outcomes of the population SET." In this case, the number of national outcomes per person of the population SET in the first period t1, with sex, age, and outcome condition O, is P SET (O,sex,age,t1) is expressed by equation (4).

number

[0054] Here, since the data set set is representative of the national population SET, the P obtained in equation (4) SET (O,sex,age,t1) is the P obtained from equation (3). set (O,sex,age,t1) It is thought that it can be approximated by

number

[0055] Therefore, the number of national outcomes for the population SET, N SET (O,sex,age,t1) can be estimated using equation (6).

number

[0056] For example, when the first period t1 is a period during which both the health insurance claim data and the local government claim data, which are the second medical data, are available, it is possible to estimate the medical information by applying formulas (3) to (6).

[0057] That is, for the health insurance receipt data, the number of data outcomes N of the second data that meet the outcome condition O for the combination of gender sex and age age in the first period t1 is set2 (O,sex,age,t1) In addition, the number of subscribers in the health insurance claim data is extracted as L set2 (sex,age,t1) The number of data outcomes for health insurance claim data is N set2 (O,sex,age,t1) Dividing this by , we obtain the number of data outcomes per person that meet the outcome condition O for the combination of sex and age in the first period t1, P set2 (O,sex,age,t1) Furthermore, if the health insurance claim data is for a subgroup of the health insurance association, the number of national subscribers L for the combination of gender and age in the first period t1 for the entire population of the health insurance association is calculated. SET2 (sex,age,t1) The number of data outcomes per person is P set2 (O,sex,age,t1) By multiplying this by , we obtain the number of national outcomes N that meet the outcome condition O for the combination of gender and age in the first period t1 for the entire population of the health insurance association. SET2 (O,sex,age,t1) can be estimated.

[0058] The medical information is also estimated for the municipality receipt data. For the municipality receipt data, the number of data outcomes N of the municipality receipt data that meet the outcome condition O for the combination of gender sex and age age in the first period t1 is set3 (O,sex,age,t1) In addition, the number of subscribers in the local government receipt data, L set3 (sex,age,t1) The number of data outcomes of the local government receipt data is N set3 (O,sex,age,t1) Dividing this by , we obtain the number of data outcomes per person that meet the outcome condition O for the combination of sex and age in the first period t1, P set3 (O,sex,age,t1) Furthermore, when the local government receipt data is for a subgroup of the National Health Insurance, the number of national subscribers L for the combination of gender and age in the first period t1 for the entire National Health Insurance population is calculated. SET3 (sex,age,t1) The number of data outcomes per person is P set3 (O,sex,age,t1) By multiplying by , we obtain the number of national outcomes N that meet the outcome condition O for the combination of gender and age in the first period t1 for the entire population of the National Health Insurance. SET3 (O,sex,age,t1) Estimate.

[0059] In addition, for other prescription data related to the Medical Care System for the Elderly, etc., the period of availability can be processed in the same manner as above to estimate medical information for the entire population.

[0060] Then, by adding up the estimated number of national outcomes, it is possible to estimate statistics, which are medical information about the entire population combining each group.

[0061] [Configuration of the invention] [Configuration 1] A medical data acquisition means for acquiring first medical data relating to medical care of a first group that is a part of the overall population; A condition acquisition means for acquiring a specified period and an outcome condition; A statistics acquisition means for acquiring a statistic that meets the outcome condition during a first period for the entire population as a statistic for the entire population; an estimation means for estimating the statistics of the entire population for an estimation period, which is different from the first period and for which the first medical data is available, by correcting the statistics of the first population that meets the outcome condition in the first medical data based on a relationship between the statistics of the entire population and the statistics of the first population that meets the outcome condition in the first medical data; A medical information estimation device comprising: [Configuration 2] A medical information estimation apparatus according to configuration 1, The estimation means calculates a coefficient by dividing a statistic of the entire population by a statistic of the first population that meets the outcome condition in the first medical data during the first period; A medical information estimation device characterized by multiplying the statistics of the first population that meets the outcome condition in the first medical data for the estimation period by the coefficient to estimate the statistics of the entire population for the estimation period. [Configuration 3] 3. The medical information estimation device according to claim 1, A medical information estimation device characterized in that the first medical data is medical data obtained from a medical institution from which MDV has obtained permission to use the data during both the first period and the estimation period. [Configuration 4] Computer, A medical data acquisition means for acquiring first medical data relating to medical care of a first group that is a part of the overall population; A condition acquisition means for acquiring a specified period and an outcome condition; A statistics acquisition means for acquiring a statistic that meets the outcome condition during a first period for the entire population as a statistic for the entire population; an estimation means for estimating the statistics of the entire population for an estimation period, which is different from the first period and for which the first medical data is available, by correcting the statistics of the first population that meets the outcome condition in the first medical data based on a relationship between the statistics of the entire population and the statistics of the first population that meets the outcome condition in the first medical data; A medical information estimation program characterized by functioning as follows. [Explanation of symbols]

[0062] 10 processing unit, 12 memory unit, 14 input unit, 16 output unit, 18 communication unit, 20 processing unit, 22 memory unit, 24 input unit, 26 output unit, 28 communication unit, 100 medical information estimation system, 102 server, 104 client, 106 information and communication network.

Claims

1. A medical data acquisition means for acquiring first medical data relating to medical care of a first group which is a part of the overall population; A condition acquisition means for acquiring a specified period and an outcome condition; A statistics acquisition means for acquiring a statistic that meets the outcome condition during a first period for the entire population as a statistic for the entire population; an estimation means for estimating the statistics of the entire population for an estimation period, which is different from the first period and in which the first medical data is available, by correcting the statistics of the first population that meets the outcome condition in the first medical data based on a relationship between the statistics of the entire population and the statistics of the first population that meets the outcome condition in the first medical data; A medical information estimation device comprising:

2. The medical information estimation device according to claim 1 , The estimation means calculates a coefficient by dividing a statistic of the entire population by a statistic of the first population that meets the outcome condition in the first medical data during the first period; A medical information estimation device characterized by multiplying the statistics of the first population that meets the outcome condition in the first medical data for the estimation period by the coefficient to estimate the statistics of the entire population for the estimation period.

3. 3. The medical information estimation device according to claim 1, A medical information estimation device characterized in that the first medical data is medical data obtained from a medical institution from which MDV has obtained permission to use the data during both the first period and the estimation period.

4. Computer, A medical data acquisition means for acquiring first medical data relating to medical care of a first group which is a part of the overall population; A condition acquisition means for acquiring a specified period and an outcome condition; A statistics acquisition means for acquiring a statistic that meets the outcome condition during a first period for the entire population as a statistic for the entire population; an estimation means for estimating the statistics of the entire population for an estimation period, which is different from the first period and in which the first medical data is available, by correcting the statistics of the first population that meets the outcome condition in the first medical data based on a relationship between the statistics of the entire population and the statistics of the first population that meets the outcome condition in the first medical data; A medical information estimation program characterized by functioning as follows.

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