JP2022167014A - Medical data analysis system, medical data analysis program, and medical data analysis method - Google Patents

Abstract

To provide a new system for performing medical data analysis using an index that is suitable for each disease.SOLUTION: There is provided, a medical data analysis system for performing analysis based on medical data. The medical data analysis system comprises a database, input means, analysis means, and display means, the database storing history information as medical data, that includes an inspection value for each index and its inspection time and the disease of an examinee, the input means accepting a designation of the object disease of an analysis object, the analysis means totalizing the history information with regard to the indices correlated to the object diseases, the display means processing the result of totalization by the analysis means and causing a result screen to be displayed.SELECTED DRAWING: Figure 1

Description

The present invention relates to a medical data analysis system, a medical data analysis program, and a medical data analysis method.

In medical care, a huge amount of data related to treatment methods, patient attributes, test values, etc. is handled, and techniques for properly analyzing such data and making effective use of them have been researched.

For example, Patent Literature 1 describes a system capable of inputting the symptoms of a patient with mental illness, analyzing the data satisfying the conditions, and comparing and displaying the effects of drugs.

Further, Patent Document 2 discloses a technique of recording medical data including diagnoses, analyzing data related to a patient's disease, etc., and transmitting the results.

JP-A-2002-207829 Japanese Patent Publication No. 2017-502365

By the way, various test values obtained by blood tests, urine tests, etc. are used in order to determine the state of injury or disease, and the index to be analyzed differs depending on the type and degree of injury or disease. In general, doctors often treat not only one type of injury but also multiple injuries and illnesses, and in order to support efficient medical practice, an analysis system that can deal with multiple injuries and illnesses has been required.

Regarding such a problem, the technique described in Patent Literature 1 can deal with only one type of injury or disease. In addition, in the technique described in Patent Document 2, although the data to be analyzed can be narrowed down by any parameter, medical data includes various indices including those unrelated to the disease to be analyzed. and cannot adequately determine the indicators to be analyzed in the data.

An object of the present invention is to provide a novel system for analyzing medical data using indices suitable for each injury or disease in view of the above-described current situation.

In order to solve the above problems, the present invention provides a medical data analysis system for performing analysis based on medical data, the medical data analysis system comprising a database, an input means, an analysis means, and a display means. , wherein the database stores, as medical data, history information including inspection values and inspection times for each index, and injuries and diseases of subjects, and the input means designates injuries and diseases to be analyzed. , the analysis means aggregates the history information for the index associated with the target injury or disease, and the display means performs display processing of the aggregated result by the analysis means and displays a result screen.

With such a configuration, it is possible to analyze medical data using an appropriate index corresponding to the target injury or disease. The user can check the aggregated results of the related indicators in the history information on the result screen, which can be useful for diagnosing and treating the target injury or disease.

In a preferred embodiment of the present invention, the analysis means aggregates the history information in which the injury or disease of the subject is the target injury or disease.
With such a configuration, data analysis can be performed based on the history information of similar injuries and diseases.

In a preferred embodiment of the present invention, the history information includes treatment methods of the subject, and the analysis means specifies the treatment method applicable to the target injury and disease, and the history information is The information is aggregated, and the display means displays the aggregated result for each treatment method on the result screen.
By adopting such a configuration, it is possible to provide the user with analysis results such as changes in indices and improvement status for each treatment method. This can be used for comparative examination of a plurality of treatment methods suitable for the treatment according to the injury or disease.

In a preferred embodiment of the present invention, the database stores, for each injury or disease, an improvement reference value for determining that the injury or disease has improved with respect to one or more indicators associated with the disease, and the history information is the treatment method. The analysis means includes a start time indicating the time when the treatment was started, and the analysis means is based on the start time, the test value, and the test time in the history information related to the target injury or disease, from the start of the treatment method until the improvement reference value is reached. The period required for treatment is tabulated for each of the treatment methods, and the display means displays the tabulation results regarding the period for each treatment method on the result screen.
By adopting such a configuration, it is possible to identify a case in which the injury or disease has improved from the history information, and to analyze the period required from the start of the treatment method to the improvement of the injury or disease. Furthermore, since the aggregated results of this period, such as the average value and median value of this period, can be shown for each treatment method, it can be used as a study material for deciding the treatment method for the treatment of the target injury or disease. .

In a preferred embodiment of the present invention, the database stores, for each injury or disease, an improvement reference value for determining that the injury or disease has improved with respect to one or more indicators associated with the injury or disease, and the analysis means stores the target injury or disease Based on the test values and the improvement reference value in the history information related to the disease, the percentage of improvement reaching the improvement reference value after the start of treatment is aggregated, and the display means displays the improvement percentage on the result screen.
By adopting such a configuration, it is possible to identify cases in which the injury or disease has improved from the history information, and to indicate the ratio thereof. As a result, for example, by performing analysis and display for each treatment method, the user can examine the treatment method based on the rate of improvement in the injury or disease.

In a preferred form of the present invention, the input means further receives input of patient attributes regarding a patient to be treated, and the analysis means provides an evaluation value for each of the identified treatment methods based on the patient attributes. The display means displays the total result for each treatment method in the order based on the evaluation value on the result screen.
With such a configuration, it is possible to help select a treatment method suitable for a patient to be treated based on various attributes such as age, sex, lifestyle habits, and the like. For example, even if the treatment method is preferable if the patient to be treated is a child, there are conditions such as not being suitable for the elderly. In such a case, it becomes possible to propose a more appropriate treatment method according to the attributes of the patient to be treated.

In order to solve the above problems, the present invention provides a medical data analysis program for performing analysis based on medical data, the medical data analysis program comprising a database, an input means, an analysis means, and a display means. , the database stores history information including inspection values and inspection times for each index as past medical data, and the injury or disease of the person being inspected, and the input means is an analysis target , the analysis means aggregates the history information for the index associated with the target injury or disease, and the display means performs display processing of the aggregation results by the analysis means and displays a result screen. display.

In order to solve the above problems, the present invention provides a medical data analysis method using a medical data analysis system for performing analysis based on medical data, wherein the medical data analysis system comprises a database, an input means, analysis means and display means, wherein the database stores, as past medical data, historical information including inspection values and inspection times for each index, and injuries and illnesses of subjects; accepts designation of a target injury or disease to be analyzed, the analysis means aggregates the history information for the index associated with the target injury or disease, and the display means displays the aggregated results by the analysis means. to display the result screen.

ADVANTAGE OF THE INVENTION According to this invention, the system for performing a medical data analysis using the parameter|index suitable for every injury or illness can be provided.

1 is a functional block diagram of a medical data analysis system according to an embodiment of the present invention; FIG. It is a figure which shows an example of the history information in embodiment of this invention. It is a figure which shows an example of the master information in embodiment of this invention. It is a display example of a patient attribute input screen in the embodiment of the present invention. It is an example of a display of an input screen of injury or disease information in an embodiment of the present invention. It is a display example of a result screen in the embodiment of the present invention. It is a display example of a result screen in the embodiment of the present invention.

TECHNICAL FIELD The present invention relates to a technique for appropriately analyzing medical data based on analysis indices that differ for each injury or disease. Here, the term "injury" refers to a state in which normal bodily functions and the like are impaired, including diseases and injuries. For example, "diabetes", "lung cancer", etc. are assumed below to distinguish diseases by diagnosis, but the present invention is not limited to this, and specific symptoms may be treated as diseases even if no diagnosis can be made. Moreover, even the same injury or disease may be classified in detail according to the progress, degree, etc. In this embodiment, such classification of injury or disease is also managed. By designating an injury or disease that the user wants to analyze as a target injury or disease, the analysis for the injury or disease is performed.

The test values are various values obtained by various tests including blood tests, urine tests, tissue tests, and the like. A large number of such test values are handled for one patient, but not all of them are indicators related to the patient's injury or disease, and often include test values that are not related to the patient's injury or disease. Therefore, in the present invention, in order to appropriately analyze a specific injury or disease, an appropriate test value is selected and analyzed as an index related to the injury or disease. That is, in the present invention, an index used for judging the condition is associated with each injury or disease and managed, and analysis is performed using the index associated with the target injury or disease to be analyzed.

In addition, in this embodiment, a plurality of treatment methods are registered for each injury and disease, and analysis is performed for each treatment method. More specifically, as treatment methods, drugs to be used and their combinations, surgery and their methods, etc. are assumed, and in the present invention, history information can be aggregated for each of them. Analysis of historical information for each drug to select a drug that can be used with a patient is illustrated.

The medical data analysis system of the present invention will be described below with reference to the drawings. The embodiments shown below are examples of the present invention, and the present invention is not limited to the following embodiments, and various configurations can be adopted.

For example, although the configuration, operation, and the like of the medical data analysis system will be described in the present embodiment, similar configurations of methods, devices, computer programs, and the like can also provide similar effects. Also, the program may be stored in a recording medium. Using this recording medium, a program can be installed in a computer, for example. Here, the recording medium storing the program may be a non-transitory recording medium such as a CD-ROM.

FIG. 1 is a functional block diagram of a medical data analysis system according to this embodiment. The medical data analysis system of this embodiment is configured so that the medical data analysis device 1, the hospital terminal 2, and the database DB can communicate with each other via the network NW. A plurality of hospital terminals 2 may exist, and are used by users such as doctors of each hospital, for example, and are connected to an in-hospital DB that stores information within the hospital. Moreover, the medical data analysis device 1 may be realized by having a plurality of computers cooperate with each other.

The medical data analysis device 1 includes an arithmetic unit such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), a main storage device such as a RAM (Random Access Memory), a HDD (Hard Disk Drive) or an SSD (Solid State Drive). ), an auxiliary storage device such as a flash memory, and various input/output devices including means for connecting to the network NW.

As the hospital terminal 2, any computer device such as a PC (Personal Computer) having various input/output devices including an arithmetic device, a storage device, and means for connecting to the network NW can be used. Alternatively, a smart phone or a tablet terminal may be used as the hospital terminal 2 . Dedicated applications for inputting and transmitting/receiving various types of information to and from the medical data analysis device 1, browser applications for accessing dedicated web pages, etc. are stored in the storage device, and the arithmetic device performs various processes. By executing, any computer device functions as the hospital terminal 2 of the present invention.

The input means 11 accepts designation of a target injury or disease to be analyzed via the hospital terminal 2 and passes it to the analysis means 12 . The input means 11 also receives input of patient attributes related to a patient to be treated and transfers the input to the analysis means 12 . The designation of the target injury and disease and the input of patient attributes may be performed by presenting options to the user for selection, or by acquiring electronic medical record information from an in-hospital DB, for example. Specifically, a target patient can be selected based on the information of the electronic medical record registered in the in-hospital DB, and the patient's injury and disease and attributes can be accepted as the target injury and disease and patient attributes. Here, when a plurality of diseases are selected for the patient in the electronic medical record, it is preferable to allow the patient to select a target disease from among them and to accept other diseases as concurrent diseases.

The analysis means 12 receives the target injury and disease and patient attributes from the input means 11, and among the history information stored in the database DB, the analysis means 12 targets the history information of the subject who has the same injury or disease as the target injury or disease. Aggregate the assigned indicators. As an index associated with an injury or disease, an index suitable for diagnosing or evaluating the injury or disease is registered in advance. Indicators and injuries have a many-to-many correspondence with each other. That is, one injury or disease may be associated with a plurality of indicators, or an index may be associated with a plurality of injury or disease indicators.

The display means 13 performs display processing on the totalized result obtained by the analysis means 12, transmits the processed result to the hospital terminal 2, and displays the result screen on the display of the hospital terminal 2 or the like. Although the details of the result screen will be described later, information regarding the period of improvement of the injury or disease, the rate of improvement, side effects, etc., is displayed as the tabulation result for each treatment method.

Next, information stored in the database DB in this embodiment will be described. FIG. 2 is a diagram showing an example of information included in history information stored in database DB. In this embodiment, examination history, attribute information, treatment information, and the like are stored as history information.

One record is registered for each examination, and the examination history includes information such as examination ID, treating doctor ID, examination date, hospital ID of the hospital where the examination was performed, doctor ID of the doctor in charge, examination value for each index, and the like. Treatment information is linked to the examination history by a treatment ID, which identifies the patient's injury or disease, drugs used, attributes, and the like.

The attribute information is linked to treatment information by an attribute ID, and indicates patient attributes such as sex, age, amount of smoking, amount of drinking, height, and weight. Here, from the viewpoint of privacy, personal information such as personal names, addresses, and telephone numbers are not stored, and attributes used for analysis are managed as attribute information in a state in which individuals cannot be identified. Also, the age does not have to be a specific numerical value, and an age such as "twenties" or a birth date such as "1980s" may be stored. In addition to this, the attribute information may include any information that may be related to diagnosis and treatment, such as information on race, etc., family history indicating injuries or illnesses that family members have suffered, allergy history, medical history, etc. .

The treatment information is treatment history information recorded for each patient and each treatment method. In this embodiment, it is assumed that a drug to be used for treatment is selected as a treatment method. The treatment information includes a treatment ID, an injury or disease ID indicating an injury or disease to be treated, a drug ID (treatment method ID), an attribute ID specifying attribute information of a patient receiving treatment, a start date of drug administration, an end date of drug administration, a drug including reasons for selection, reasons for discontinuation of administration, side effects, etc. Since the end date and reason for discontinuation are recorded when the treatment method is discontinued, information on the end date and reason for discontinuation is not recorded for ongoing treatments. In addition, side effects are recorded when side effects are observed. As the side effect information, symptoms and dates may be stored.

FIG. 3 is an example of various master information. The injury/disease master includes, for each injury/disease, information on an injury/disease ID, an injury/disease name, a classification, a corresponding drug, an index, and an improvement reference value for each index. Here, in the present embodiment, as shown in FIG. 3, even if the disease name is the same, when the detailed classification is different, different disease IDs are given and treated as different diseases. A corresponding drug is a drug (therapeutic method) that can be applied to an injury or disease, and is associated with a drug master by a drug ID. In addition, the index registered in the injury and disease master is the type of inspection value that can be used to confirm the state and degree of the injury or disease, and for each index, the improvement reference value is stored as the reference value for judging that the injury or disease has improved. be done.

In addition, in the present embodiment, since a plurality of indicators can be associated with an injury or illness, it is preferable to further store criteria for judging that the injury or illness has improved. Specifically, it may be determined that the improvement has been achieved when a predetermined number or more of the indicators have cleared the improvement standard values, or that the improvement has been achieved when all the indicators have cleared the improvement standard values. Alternatively, it is possible to make it essential to satisfy the improvement standard value for a specific index, and then to clear the improvement standard value for a predetermined number or more of the indices, or the like, as an improvement condition.

The drug master includes, for each drug, a drug ID, drug name, drug price, number of doses, dosage, side effects, drug contraindications for concomitant use with the drug, contraindication attributes indicating attributes of patients who cannot use the drug, It includes information such as caution attributes indicating attributes of patients requiring caution in drug use. Moreover, in drug administration, treatment is often performed by combining a plurality of drugs. Therefore, one medicine is not necessarily registered for each medicine ID, and a combination of multiple medicines may be registered for one medicine ID. Note that the side effect information in the drug master is not essential, and for example, the side effects of each drug may be identified by the side effects in the treatment information associated with each drug ID.

Next, various screens will be described with reference to FIGS. The display means 13 displays an information input screen for analysis in accordance with a display request via the hospital terminal 2 . FIG. 4 is a display example of a patient attribute input screen in this embodiment.

On this screen, input content can be edited by selecting each attribute. In addition, as a patient attribute, the patient's own drug preferences may be input. For example, information relating to the number of tablets to be taken at one time, the size of the medicine, the number of times of administration, the time of administration, etc. can be input as patient attributes. In this embodiment, selection of various patient attributes is accepted from options registered in advance. Based on the information of the electronic medical record stored in the hospital DB, the user selects a patient and identifies the patient ID. You may make it possible to do so. In this case, when the user selects a patient, the attributes of the patient are automatically entered and displayed as shown in FIG.

Based on the patient attributes input here, history information to be tabulated by the analyzing means 12 is determined. That is, the patient attributes input here are used as conditions for narrowing down the information to be aggregated. Therefore, it is preferable to proceed without entering any attributes that are not important.

After completing the input of the patient attributes and selecting the "Next" button, the screen shown in FIG. 5 is displayed. FIG. 5 is a display example of an input screen for injury or disease information in this embodiment. As the injury or disease information, first, the selection of the target illness or disease is accepted from the display of "Selection of disease name" on the upper part of the screen, and the disease ID of the target disease or disease is specified. For example, an injury or disease may be searched for using a keyword and selected from the search results. When the target injury or disease is selected, an input section for the index associated with the target injury or disease is displayed, as shown in FIG. By inputting the values of various indices and other attributes related to the target injury or disease in this way, it is possible to perform analysis targeting history information with similar test values and history information with matching attributes.

When a patient is selected based on the information in the electronic medical record, the disease registered as the patient's disease in the electronic medical record is automatically selected in the "select disease name" section at the top of the screen. Here, when a plurality of injuries and diseases are registered for the patient in the electronic medical record, the user can select an appropriate one from the registered injuries and diseases in the "select disease name". Then, the index associated with the disease in the disease master is acquired from the electronic medical record and displayed on the screen in FIG.

Here, "type 2 diabetes" is selected as an injury or disease, and inputs of recent test values for four indicators of HbA1c, fasting blood sugar, random blood sugar, and OGTT are accepted as indices corresponding to type 2 diabetes. Also here, based on the information in the electronic medical record, the most recent test values of the designated patient may be automatically entered. In addition, it is possible to input the value of the improvement target as the recommended target control value. As an initial value, the improvement reference value registered in the disease master of the selected target disease is input, but it can be edited arbitrarily.

When these pieces of information are entered and the "Next" button is selected, the analysis means 12 aggregates the history information. Specifically, the analysis means 12 first identifies treatment information in which the disease ID of the target disease is recorded. Further, the analysis means 12 narrows down the treatment information having the same attribute as the target patient attribute by the attribute ID included in the treatment information based on the patient attribute input on the screen as shown in FIG. Here, the conditions used for narrowing down the attributes are designated by the attribute information input on the screen of FIG. Furthermore, when the most recent test value is input as the injury or disease information, the treatment histories linked to the treatment information may be further narrowed down to treatment histories having a value close to the most recent test value.

Next, the analysis means 12 identifies drugs applicable to the target injury or disease. In this embodiment, the medicines applicable to each disease are stored in the disease master, and the analyzing means 12 identifies the applicable medicines based on this. In addition, for example, treatment information included in the history information may be referred to, and the drug ID recorded together with the disease ID of the target disease may be specified as a drug applicable to the target disease.

Here, in order to specify the priority of each drug, the analysis means 12 calculates evaluation values based on patient attributes. In the calculation of the evaluation value, first, among the drugs specified as drugs applicable to the target injury or disease, drugs that are contraindicated for the patient attributes are excluded. Next, each condition is weighted and set so that the evaluation value is low for drugs that require attention for patient attributes, and the evaluation value is high for drugs that satisfy the patient's wishes for drugs entered as patient attributes. Based on the drug master, the evaluation value of each drug is calculated using the calculated evaluation value calculation formula. As a result, the analysis means 12 identifies the priority of the drugs in descending order of the evaluation value.

Then, the treatment information and examination history are totaled for each specified drug, and various total results are output. Specifically, in this embodiment, the number of users in the most recent predetermined period, the reason for selecting the drug, the reason for discontinuation, the average value of the improvement period that is the period required to reach the improvement reference value, and the improvement reference value Aggregate the improvement rate, which indicates the percentage achieved, the number of side effects reported by symptom, etc. These tabulations may be performed, for example, for nationwide history information and for history information of one's own hospital.

Here, the improvement of injuries will be explained. As described above, treatment IDs and test values are stored in the test history, and the drug (treatment method), disease, and attributes of the subject are specified for each test value. Accordingly, by referring to the examination information, it is possible to determine whether or not the examination value in the target treatment information meets the improvement reference value for injury or disease. As a result, when the test value reaches the improvement standard value for the first time, the injury or disease is considered to have improved, and the period from the start date in the treatment information to the test date when the test value reaches the improvement standard value for the first time is the improvement period. be able to. Similarly, the improvement ratio can be calculated by calculating the ratio of treatment information considered to have already improved among the target treatment information. Here, if the improvement target input on the screen of FIG. 5 is different from the improvement standard value, it is preferable to use the improvement target input by the user instead of the improvement standard value set in the injury or disease information.

Regarding the improvement of the injury or disease, for example, every time the inspection history is recorded, the analysis means 12 judges whether the injury or disease has improved by comparing it with the improvement reference value. may record a flag indicating improvement and an improvement date as treatment information.

After the totalization is performed in this way, the display means 13 displays the result screen. FIG. 6 is a display example of a result screen in this embodiment. On the result screen, the tabulated results are displayed for each drug in the order according to the priority specified by the analysis means 12 by calculating the evaluation value. In FIG. 6, they are displayed in descending order of priority from the left, and drugs that are applicable to the target disease but excluded due to contraindications to patient attributes are also displayed in a different manner on the far right. .

The contents to be displayed here can be selected by the user, but in the example of FIG. Contraindications/precautions information for each drug according to the patient attributes entered on the screen is shown. In addition, information useful for drug selection, such as drug prices, may also be displayed.

The reasons for drug selection and discontinuation are analyzed according to the subject's treatment information. Specifically, each of the reasons for selection and reasons for discontinuation is selected from specific options and registered as treatment information, and based on this, the analysis means 12 identifies a predetermined number in descending order of the selected ratio.

The average improvement period is obtained by averaging the identified improvement periods as described above. It should be noted that as the aggregation result here, not only the average value but also other aggregation results related to the improvement period, such as the median value, may be displayed.

The reported number of side effects is also analyzed according to the subject's treatment information. Specifically, side effects are selected from among specific options and registered as treatment information. are displayed on the result screen in descending order.

In addition, it is preferable that the contraindication/precaution information corresponding to the patient attribute is displayed conspicuously by, for example, emphasizing when there is information corresponding to the designated patient attribute. In this embodiment, information about a drug with contraindication information is displayed in a manner different from that of other drugs as a whole, and when there is caution information, the caution information column of the drug is highlighted.

Here, when "progress analysis" is selected on the screen of FIG. 6, the progress of each treatment method is further displayed for the history information to be analyzed. FIG. 7 is a display example of a result screen displaying the progress analysis result. Here, an example of an analysis result of an injury or disease different from the examples up to FIG. 6 is shown. Thus, in this embodiment, the treatment information to be analyzed is further classified according to the drug used (treatment method) and analyzed separately. Specifically, the total multiplied by the average usage period, which is the period from the start date to the end date, the usage rate in the treatment information analyzed, the price of one unit, and the amount expected to be used during the average period The amount is calculated and displayed for each drug.

In addition, for each drug, the transition of the average value of the index associated with the target injury or disease is displayed in a graph in chronological order, with the elapsed time from the start of use on the horizontal axis. Regarding the transition of the index, it is preferable to display the improvement reference value (“SBP improvement index” and “DBP improvement index” in FIG. 7) superimposed on the graph for each index. Side effects are also displayed in a time-series graph with the elapsed time from the start of use on the horizontal axis and the occurrence rate on the vertical axis.

In this way, by displaying the progress in chronological order based on the history information of the patient who used each treatment method, it is possible to refer to the transition for each treatment method and use it for selection of the treatment method. As for the analysis here, it is possible to check the analysis results according to the injury or disease and the patient's attributes. can help you choose.

As described above, by aggregating history information for indices corresponding to target injuries and diseases and displaying the aggregated results, it is possible to show the aggregated results using appropriate indices, and to utilize vast amounts of medical data for diagnosis, treatment, etc. can be done. Furthermore, by analyzing each treatment method as in this embodiment, it is possible to provide useful information for doctors and patients to consult and select treatment methods.

In this embodiment, an example of counting for each drug, which is useful for selecting a treatment method, is shown, but the present invention is not limited to this. For example, it is possible to aggregate the improvement rate and improvement period for the target injury or disease for each hospital in order to analyze by hospital ID included in the examination information, compare the own hospital with other hospitals, and compare with the national average. may be As a result, it is possible to easily grasp what kind of treatment results the own hospital has compared to the rest of the country. In addition, design changes may be arbitrarily made without departing from the gist of the present invention.

Reference Signs List 1: medical data analysis device 2: hospital terminal 11: input means 12: analysis means 13: display means NW: network

Claims (10)

A medical data analysis system for performing analysis based on medical data,
The medical data analysis system comprises a database, an input means, an analysis means, and a display means,
The database stores, as medical data, history information including test values and test times for each index, and injuries and diseases of the test subject;
The input means accepts designation of a target injury or disease to be analyzed,
The analysis means aggregates the history information for the index associated with the target injury and disease,
The medical data analysis system, wherein the display means performs display processing on the aggregated results obtained by the analysis means and displays a result screen. The database stores, for each injury or disease, an improvement reference value for determining that the injury or disease has improved for one or more indicators associated with the disease,
The history information includes information specifying the start time indicating the time when treatment was started,
The analysis means aggregates the period required from the start of treatment until the improvement reference value is reached based on the start time, test value, and test time in the history information related to the target injury,
2. The medical data analysis system according to claim 1, wherein said display means displays the aggregated result relating to said period on said result screen. The database stores, for each injury or disease, an improvement reference value for determining that the injury or disease has improved for one or more indicators associated with the disease,
The analysis means aggregates an improvement rate that reaches the improvement reference value after the start of treatment based on the test value and the improvement reference value in the history information related to the target injury,
2. The medical data analysis system according to claim 1, wherein said display means displays said improvement rate on said result screen. 4. The medical data analysis system according to any one of claims 1 to 3, wherein the analysis means aggregates the history information in which the injury or disease of the subject is the target injury or disease. The history information includes a treatment method for the subject,
The analysis means identifies the treatment method applicable to the target injury and disease, aggregates the history information for each treatment method,
5. The medical data analysis system according to any one of claims 1 to 4, wherein the display means displays the aggregated result for each treatment method on the result screen. The database stores, for each injury or disease, an improvement reference value for determining that the injury or disease has improved for one or more indicators associated with the disease,
The history information includes information specifying a start time indicating when the treatment method was started,
The analysis means aggregates, for each treatment method, the period required from the start of the treatment method until the improvement reference value is reached, based on the start time, test value, and test time in the history information related to the target injury or disease. death,
6. The medical data analysis system according to claim 5, wherein the display means displays the aggregated results regarding the period for each treatment method on the result screen. The database stores, for each injury or disease, an improvement reference value for determining that the injury or disease has improved for one or more indicators associated with the disease,
The analysis means aggregates, for each treatment method, an improvement rate that reaches the improvement reference value after the start of the treatment method, based on the test values and the improvement reference value in the history information related to the target injury and disease,
6. The medical data analysis system according to claim 5, wherein the display means displays the improvement rate for each treatment method on the result screen. The input means further receives input of patient attributes related to the patient to be treated,
The analysis means calculates an evaluation value based on the patient attributes for each of the specified treatment methods,
8. The medical data analysis system according to any one of claims 5 to 7, wherein the display means displays the tabulation result for each treatment method in the order based on the evaluation value on the result screen. A medical data analysis program for performing analysis based on medical data,
The medical data analysis program causes a computer to function as a database, an input means, an analysis means, and a display means,
The database stores, as medical data, history information including test values and test times for each index, and injuries and diseases of the test subject;
The input means accepts designation of a target injury or disease to be analyzed,
The analysis means aggregates the history information for the index associated with the target injury and disease,
A medical data analysis program, wherein the display means displays a result screen by performing display processing on the aggregated result obtained by the analysis means. A medical data analysis method using a medical data analysis system for performing analysis based on medical data,
The medical data analysis system comprises a database, an input means, an analysis means, and a display means,
The database stores, as medical data, history information including test values and test times for each index, and injuries and diseases of the test subject;
The input means accepts designation of a target injury or disease to be analyzed,
The analysis means aggregates the history information for the index associated with the target injury and disease,
The medical data analysis method, wherein the display means performs display processing on the aggregated result obtained by the analysis means and displays a result screen.

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