JP7294492B1 - Analysis data providing device, analysis data providing system, analysis data providing method - Google Patents

Abstract

An analysis data providing device capable of performing various analyzes utilizing medical information is provided. A medical information acquisition unit that acquires medical information including electronic medical chart data of a plurality of patients; an analysis request acquisition unit that acquires an analysis request specifying analysis content; It has an analysis unit that performs analysis according to the analysis request based on data of at least one item of test values and prescribed drugs, and an output unit that outputs analysis results. [Selection drawing] Fig. 1

Description

The present invention relates to an analytical data providing device, an analytical data providing system, and an analytical data providing method.

Conventionally, as a system that utilizes medical information, there is a system that collects medical bill information and provides processed data (see, for example, Patent Document 1). For example, based on the receipt information, it is possible to confirm the combination of multiple drugs prescribed for the patient.

Japanese Patent No. 6409113

However, although it is possible to grasp the prescribed drug from the receipt information, the name of the disease is not specified, and it is not possible to grasp the state of the patient's disease after the drug is administered. Therefore, it is desirable to perform analysis using medical information.

The present invention has been made in view of such circumstances, and its object is to provide an analytical data providing apparatus, an analytical data providing system, and an analytical data providing method that can perform various analyzes using medical information. It is in.

In order to solve the above-described problems, one aspect of the present invention provides a medical information acquisition unit that acquires medical information including electronic medical record data of a plurality of patients, and an analysis request acquisition unit that acquires an analysis request specifying analysis content. and an analysis unit that performs analysis according to the specified analysis content based on the data included in the electronic medical record data, and an output unit that outputs analysis results, wherein the analysis unit is , in the electronic medical chart data corresponding to the disease name specified by the analysis request, the first drug is prescribed, and the second drug different from the first drug is prescribed. The prescription dynamics of each test value is analyzed in each case, and the median value of the test values of the test items to be analyzed for the plurality of patients in the analysis target period is analyzed to analyze the prescription dynamics, The output unit outputs a patient whose inspection value of the inspection item falls within the reference value for each of the prescription dynamics when the first drug is prescribed and the prescription dynamics when the second drug is prescribed. This is an analysis data providing device that displays the ratio of the number of patients who have not settled down on a display screen as a bar graph for each different period of time after the drug administration.

Further, one aspect of the present invention is an analysis data providing system including the analysis data providing device described above and a terminal device, wherein the terminal device includes a transmitting unit that transmits an analysis request to the analysis data providing device; and a display unit that receives the output analysis result and displays it on a display screen.

In one aspect of the present invention, the medical information acquisition unit acquires medical information including electronic medical record data of a plurality of patients, the analysis request acquisition unit acquires an analysis request specifying analysis content, and the analysis unit acquires , based on the data of at least one of the disease name, test value, and prescribed medicine included in the electronic medical record data, analysis is performed according to the analysis request, and the output unit outputs the analysis result. In the analysis data providing method, the analysis by the analysis unit is performed when the first medicine is prescribed among the electronic medical chart data corresponding to the disease name specified by the analysis request from the electronic medical chart data; Prescription dynamics of each test value is analyzed when a second drug that is different from the first drug is prescribed, and the number of test items to be analyzed for the plurality of patients during the analysis target period Analyzing the prescription kinetics by calculating the median of the test values, and the output from the output unit includes the prescription kinetics when the first drug is prescribed and the prescription kinetics when the second drug is prescribed. The ratio of the number of patients whose test values of the test items fall within the reference values and the number of patients who do not fall within the reference values for each of the prescription dynamics of each case is displayed by a bar graph for each different elapsed period after drug administration. It is an analysis data providing method including displaying on .

As described above, according to the present invention, various analyzes using medical information can be performed.

1 is a schematic block diagram showing the configuration of an analysis data providing system S according to one embodiment of the invention; FIG. 3 is a schematic functional block diagram showing the configuration of an analysis data providing server 30; FIG. 4 is a flow chart showing the operation of the analysis data providing server 30. FIG. FIG. 10 is a diagram showing an example of information that can be input when inputting an analysis request; FIG. FIG. 10 is a diagram showing an example of a display screen displaying analysis results obtained when drugs are compared; FIG. 10 is a diagram showing an example of a display screen displaying analysis results obtained when drugs are compared; FIG. 10 is a diagram showing an example of a display screen displaying analysis results obtained when summary analysis is performed; FIG. 10 is a diagram showing an example of a display screen displaying an analysis result obtained when a basic injury/disease analysis is performed; It is a figure which shows an example of the display screen in which the analysis result obtained when prescription basic analysis was performed was displayed. FIG. 10 is a diagram showing an example of a display screen displaying an analysis result obtained when share analysis is performed; FIG. 10 is a diagram showing an example of a display screen displaying an analysis result obtained when a drug usage amount analysis is performed;

Hereinafter, an analysis data providing system using an analysis data providing server according to one embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a schematic block diagram showing the configuration of an analysis data providing system S according to one embodiment of the invention.
In FIG. 1 , the analysis data providing system S includes a medical institution data providing system 10 , a processed data providing server 20 , an analysis data providing server 30 and a terminal device 40 .

The medical institution data providing system 10 is communicably connected to the processed data providing server 20 via a communication network such as a network.
The medical institution data providing system 10 is connected to a regional medical network system, and is also communicably connected to terminal devices provided in hospitals, clinics, and the like. The medical institution data provision system 10 acquires electronic medical chart data stored in the storage device of the regional medical network system and electronic medical chart data input from terminal devices provided in hospitals, clinics, etc., and stores them in a storage device such as a database. stored by writing to

The electronic medical record data includes data related to patient medical care, such as patient basic information, medical care information, examination information, treatment information, medication information, and the like.
The patient's basic information includes various basic information about the patient, such as the patient's name, address, sex, date of birth, contact information, height, weight, medical history, and the like.
The medical information includes information about the content of the medical treatment, such as the date of medical treatment, subjective symptoms, diagnosis (name of injury or disease), treatment policy, instructions from the doctor, results of the doctor's examination (findings, etc.). etc. are included.
The examination information includes the results of various examinations performed on the patient. For example, there are results of blood examinations, image data of X-ray images, and image data of diagnoses made by an ultrasonic diagnostic apparatus. .
The treatment information includes details of treatments performed on the patient, details of surgery, and the like.
The medication information is information that indicates the content of medication to be administered to the patient, and includes medication date and time, drugs, and the like.

The medical institution data providing system 10 transmits the electronic medical record data accumulated in the database to the processed data providing server 20 at regular intervals (for example, every three months) or when a certain amount of data is accumulated.

The processed data providing server 20 receives and stores electronic medical record data transmitted from the medical institution data providing system 10 .
The processed data providing server 20 processes the information about individuals in the electronic medical record data into data that does not identify the individual. For example, the processed data providing server 20 assigns a patient ID for identifying a patient to each patient included in the stored electronic medical record data, generates anonymously processed data in which the patient name is replaced with the patient ID, and processes the processed data providing server. 20 in the database. Here, the processed data providing server 20 generates anonymously processed data in which the hospital name, clinic name, etc. included in the electronic medical record data in the anonymously processed data is also replaced with a facility ID that can identify the hospital or clinic, and processes the data. It may be stored in a database within the data providing server 20 . In addition, the processed data providing server 20 processes the patient age 80 years old or older to 80 years old, 5 years old to 4 years old, and the patient age from 5 years old to 80 years old in increments of 5 years. Anonymously processed data. may be generated and stored in the database in the processed data providing server 20.

The analysis data providing server 30 is communicably connected to the processed data providing server 20 via a communication network such as a network, and is communicably connected to the terminal device 40 via the network.
The analysis data providing server 30 receives and stores the anonymously processed data stored in the processed data providing server 20 . The timing of receiving the anonymously processed data is, for example, every fixed period (for example, every three months). Also, the analysis data providing server 30 analyzes the anonymously processed data in response to an analysis request transmitted from the terminal device 40 and transmits the analysis result to the terminal device 40 .

The terminal device 40 is communicably connected to the analysis data providing server 30 via a network. The terminal device 40 has a transmission unit that transmits an analysis request designating analysis content to the analysis data providing server 30 and a function that receives analysis results transmitted from the analysis data providing server 30 .
The terminal device 40 has an input device and a display device, and has a display unit for displaying the received analysis results on a display device (display screen) connected to the terminal device 40 . The input device may be at least one of a keyboard, mouse, and touch panel. The display device is, for example, a liquid crystal display device.

Users of the terminal device 40 are, for example, pharmaceutical companies, medical device manufacturers, and the like.

FIG. 2 is a schematic functional block diagram showing the configuration of the analysis data providing server 30. As shown in FIG.
The analysis data providing server 30 has a communication section 31 , a storage section 32 , a medical information acquisition section 33 , an analysis request acquisition section 34 , an analysis section 35 , a control section 36 , an input section 37 and an output section 38 .
The communication unit 31 has a function of communicating with the processed data providing server 20 and a function of communicating with the terminal device 40 .
The storage unit 32 stores various data.
For example, the storage unit 32 stores anonymously processed data received by the communication unit 31 from the processed data providing server 20 .

The storage unit 32 includes a storage medium such as a HDD (Hard Disk Drive), flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), RAM (Random Access read/write Memory), ROM (Read Only Memory). mory), or these Consists of any combination of storage media.
A non-volatile memory, for example, can be used as the storage unit 32 .

The medical information acquisition unit 33 acquires medical information including electronic medical chart data of a plurality of patients. The electronic medical chart data included in this medical information may be anonymously processed data, or may be electronic medical chart data whose data has not been processed by the processed data providing server 20 . Medical information may include not only anonymously processed data but also other data.
The analysis request acquisition unit 34 acquires from the terminal device 40 an analysis request designating analysis content.

The analysis unit 35 performs analysis in response to an analysis request based on data of at least one of the disease name, test value, and prescribed medicine included in the electronic medical record data (anonymously processed data). The analysis request may include specification of items to be analyzed, specification of an analysis method, and the like.
The analysis unit 35 extracts the name of the drug, the name of the disease, etc. from the data included in the anonymously processed data, assigns a drug code for identifying the drug according to the name of the drug, and extracts the name of the disease according to the name of the disease. Assign a disease name code for identification. These analysis units 35 can also transmit drug codes and disease name codes to the terminal device 40 . In this case, the analysis unit 35 can process data (standardized data) that is easy to handle by assigning the drug code and the disease name code. can also

By assigning a drug code and a disease name code, the analysis unit 35 uses these codes to identify a disease to be analyzed, and selects a drug to be analyzed among the drugs corresponding to the disease based on the drug code. drugs are identified and various analyses. For example, when the analysis unit 35 acquires a request including the name of a disease to be analyzed as an analysis request, the analysis unit 35 retrieves anonymously processed data including a code corresponding to the disease name from among the anonymously processed data stored in the storage unit 32. A plurality of patients are extracted, and among the extracted anonymously processed data, anonymously processed data containing drug codes corresponding to drugs designated as analysis targets in the analysis request are extracted for a plurality of patients. Then, the analysis unit 35 reads the test value of each patient in the extracted anonymously processed data, and based on the test value, calculates the median value, and determines whether or not it falls within the reference value. , make an analysis. The analysis unit 35 compares the effects of different drugs, switches drugs, adds drugs, and the like. For example, when comparing drugs, by performing the above-described analysis for each drug designated as an analysis target, it is possible to obtain analysis results that enable comparison of the effects of the drugs.

The analysis unit 35 can also perform analysis based on numerical values indicated by the inspection results. For example, the analysis unit 35 determines the median of test values (for example, test values indicating test results of a certain item in a blood test) for a period to be analyzed among the periods after administration of a plurality of patients to whom the same drug was administered. Analyze by finding the value. For example, by obtaining the median value every month after administration based on the date of administration included in the anonymously processed data, it is possible to grasp the progress of the effect after administration. In addition, the analysis unit 35 can generate data that can be compared with respect to different drugs by performing the process of obtaining such a median for each of different drugs administered for the same disease.

The analysis unit 35 analyzes the electronic medical chart data corresponding to the disease name specified by the analysis request from the electronic medical chart data when the first drug is prescribed and when the second drug different from the first drug is prescribed. Analyze the prescribing kinetics of each test value with and without (drug comparison).
After the first drug is prescribed in the electronic medical chart data corresponding to the disease name specified by the analysis request, the analysis unit 35 selects a second drug that is different from the first drug in the electronic medical chart data. Analyze prescription kinetics of laboratory values when switching to a drug (drug switching).
After the first drug is prescribed in the electronic medical chart data corresponding to the disease name specified by the analysis request, the analysis unit 35 selects a second drug that is different from the first drug in the electronic medical chart data. Analyze prescription dynamics of test values when a drug and a first drug are prescribed (addition of drug).
The analysis unit 35 analyzes the prescription dynamics by calculating the median of the test values of a plurality of patients during the analysis target period.

The control unit 36 controls each unit of the analysis data providing server 30 .
The input unit 37 receives operation inputs input from an input device connected to the outside of the analysis data providing server 30 .

The output unit 38 outputs analysis results. For example, the output unit 38 causes the communication unit 31 to transmit the analysis result to the terminal device 40 .
The output unit 38 outputs the prescription dynamics when the first drug is prescribed and the prescription dynamics when the second drug is prescribed.

The functions of the communication unit, the medical information acquisition unit 33, the analysis request acquisition unit 34, the analysis unit 35, the control unit 36, the input unit 37, and the output unit 38 described above are combined with a processing device such as a CPU (Central Processing Unit) or a dedicated It may be realized by configuring with an electronic circuit.

Next, the operation of the analysis data providing server 30 will be described.
FIG. 3 is a flow chart showing the operation of the analysis data providing server 30. As shown in FIG.
Here, the medical institution data providing system 10 transmits electronic medical record data of a plurality of patients to the processed data providing server 20 at regular intervals. The processed data providing server 20 generates anonymously processed data in which the basic information of each patient is processed by processing electronic medical record data of a plurality of patients, and transmits the generated anonymously processed data to the analysis data providing server 30 . Anonymously processed data is transmitted at regular intervals (for example, every three months). When the medical information acquisition unit 33 of the analysis data providing server 30 receives the processed anonymous data from the processed data providing server 20 via the communication unit 31 , it stores the data in the storage unit 32 .

The user of the terminal device 40 inputs an analysis request on the analysis request input screen of the terminal device 40 when having the analysis performed. For example, the analysis request can include the name of the disease to be analyzed, the name of the drug, the analysis method (analysis menu), and the analysis period. For the disease name and drug name, a keyword representing the name may be entered, or selectable disease names and drug names may be selected from a pull-down menu. The analysis method can be specified from various analysis methods, and for example, any one of drug comparison, drug switching, drug addition, and other analysis can be selected.
For drug comparison, by designating drug A (company A) and drug B (company B) as keywords, an analysis request for comparing these two drugs can be input. The objects to be compared may be two, or may be three or more.
Drug switching (prescription dynamics 1) is an analysis target of switching from a drug (first drug) to another drug (second drug) for the same patient. Here, by inputting the first drug and the second drug as keywords and designating that the drug is to be switched, the switching of the drug can be analyzed.
Addition of a drug (prescription dynamics 2) is to be analyzed when a certain drug (first drug) is being administered and another drug (second drug) is additionally administered. Here, by inputting the first drug and the second drug as keywords and designating the addition of the drug, the addition of the drug can be analyzed.
Knowing the effects of drugs on such prescribing kinetics provides information that can be effectively utilized by pharmaceutical companies.
Other analyzes include, for example, summary analysis, injury basic analysis, prescription basic analysis, share analysis, drug usage analysis, and the like.

FIG. 4 is a diagram showing an example of information that can be input when inputting an analysis request. An analysis request can be generated by displaying each item as shown in FIG. 4 on the analysis request input screen and inputting input contents in several items according to the target to be analyzed.
Here, among the items for designating the contents of analysis, there are analysis menus (analysis methods), items/conditions, and data display as major items.
The items/conditions include facility axis, examination axis, product/disease axis, patient axis, etc. as middle items, and small items belong to each of these middle items. Items/conditions can be specified, for example, items for specifying conditions to be analyzed, drugs to be analyzed, and the like. By inputting various data for these items/conditions, it is possible to specify an examination name (examination item), disease name, drug name, age of the patient, sex of the patient, and the like.
The data presentation has a presentation item and a period condition setting as medium items, and small items belong to these medium items.
By inputting various data in the data display, it is possible to specify, for example, the period to be analyzed, the number of inspections, and the like.

The user of the terminal device 40 inputs the contents of the analysis on the analysis request input screen, and then presses the decision button. As a result, the terminal device 40 transmits an analysis request corresponding to the input analysis content to the analysis data providing server 30 .
The analysis request acquisition unit 34 of the analysis data providing server 30 acquires the analysis request transmitted from the terminal device 40 via the communication unit 31 (step S101).
When the analysis request acquisition unit 34 acquires the analysis request, the analysis unit 35 specifies analysis content based on the analysis request (step S102). For example, the analysis unit 35 refers to the analysis method included in the analysis request to specify which of the analysis methods is comparison of drugs, switching of drugs, addition of drugs, and other analysis. .

When the analysis method is drug comparison, the analysis unit 35 analyzes the specified first drug (for example, drug A) and second drug (for example, drug B) that have the same disease name based on the analysis request. According to the above, analysis is performed for patients (here, multiple patients) to whom drug A was administered and for patients (here, multiple patients) to whom drug B was administered (step S103). Here, since the analysis period, the display mode of the analysis results, and the like are specified in the item of data display, the analysis unit 35 performs the analysis based on the specified contents.

On the other hand, when the analysis method is drug switching, the analysis unit 35 determines, based on the analysis request, whether the administered drug in the electronic medical record containing the name of the disease to be analyzed is from the first drug (for example, drug A) to A patient who has been switched to the second drug (for example, drug B) is analyzed (step S104). Here, since the analysis period, the display mode of the analysis results, and the like are specified in the item of data display, the analysis unit 35 performs the analysis based on the specified contents.

Further, when the analysis method is drug addition, the analysis unit 35 performs administration of the first drug (for example, drug A) in the electronic medical record containing the name of the disease to be analyzed, and then the third drug (for example, drug A). Patients to whom C) was additionally administered are analyzed (step S105). Here, since the analysis period, the display mode of the analysis results, and the like are specified in the item of data display, the analysis unit 35 performs the analysis based on the specified contents.

If the analysis method is none of drug comparison, drug switching, and drug addition, the analysis unit 35 determines that the analysis is other analysis, and performs analysis according to the specified analysis method ( step S106). Here, the analysis unit 35 analyzes the analysis period, the display mode of the analysis result, etc. according to the contents specified in the item of data display.

When analysis processing according to the specified analysis method is performed by the analysis unit 35 and analysis results are obtained, the output unit 38 transmits the analysis results to the terminal device that transmitted the analysis request via the communication unit 31. 40 (step S107).
Thereby, the terminal device 40 can receive the analysis result and display the analysis result on the display screen.

FIG. 5 is a diagram showing an example of a display screen displaying analysis results obtained when drugs are compared.
In this display screen, the analysis result of drug A is displayed on the left side of the screen, and the analysis result of drug B is displayed on the right side of the screen. Here, as an example, for malignant neoplasm (tumor) in the C18 colon, the case where the median value of the test results is obtained as the therapeutic effect after the first drug prescription in the market is illustrated. In this analysis result, transition of the median value for each drug is displayed as a graph as a trend analysis of drug treatment effects using tumor markers. In this graph, the horizontal axis is the analysis period, from 0 months to 6 months after drug administration. The vertical axis represents the value of CEA, which is an inspection item.
Here, the effects of the two drugs can be easily compared by displaying the graphs showing the effects of the drugs to be compared side by side on the screen.
In addition, in this analysis result screen, the drug names are displayed in a pull-down menu, and when the user selects and inputs another drug, the selected contents are provided as analysis data from the terminal device 40 as an analysis request. It is sent to the server 30 . The analysis data providing server 30 transmits to the terminal device 40 the analysis results for the drug selected from the pull-down menu. As a result, the terminal device 40 can quickly obtain the analysis result of the medicine selected from the pull-down menu and display it on the display screen.

FIG. 6 is a diagram showing an example of a display screen displaying analysis results obtained when drugs are compared. In FIG. 5, the case where the median value of the test results of CEA is displayed as a graph has been described, but in FIG. It is
As shown in this figure, the number of patients whose CEA test results met the criteria and the number of patients who did not meet the criteria for cases where drug A and drug B were prescribed, respectively. Percentages are represented by bar graphs for each month. As a result, the effects of the two drugs can be analyzed from the viewpoint of whether or not they are within the standard values, and can be easily grasped.
Also in this figure, the name of the medicine can be selected from a pull-down menu, and the analysis results of the selected medicine are redisplayed as a bar graph in accordance with the selection of the medicine.
It should be noted that whether to represent by a graph using the median value or by a bar graph showing the ratio of the number of patients whose test result values meet the criteria and the number of patients who do not meet the criteria is specified in the display item. It is possible to do so.

Here, the case where the analysis results for comparison of drugs are displayed is illustrated, but the switching of drugs and the addition of drugs can be similarly displayed on the analysis result display screen.
For example, when displaying switching of drugs, the analysis unit 35 reads out from the storage unit 32 anonymously processed data of a patient whose prescribed drug was switched from drug A to drug B, and performs a CEA examination as shown in FIG. By generating a graph of the median value of the values, it can be displayed on the terminal device 40, and as shown in FIG. By generating a result representing the percentage of numbers in a bar graph, it can be displayed on the terminal device 40 . In this case, the drug before switching and the drug after switching can be selected from the pull-down menu as in FIGS. 5 and 6, and the analysis results can be sequentially displayed on the screen. good.

Further, for example, when displaying the addition of a drug, the analysis unit 35 reads out from the storage unit 32 anonymously processed data of a patient for whom the prescribed drug is drug A and the drug C is additionally prescribed, and the data shown in FIG. 5 can be displayed on the terminal device 40 by generating a graph of the median CEA test values shown in FIG. 6, and as shown in FIG. The terminal device 40 can be made to display the result which shows the number of patients and the ratio of the number of patients within the range of the number of patients in the form of a bar graph. In this case, either the first prescribed drug or the additionally prescribed drug is selected from a pull-down menu as in FIGS. 5 and 6, and the analysis results are sequentially displayed on the screen. You may do so.

FIG. 7 is a diagram showing an example of a display screen displaying analysis results obtained when summary analysis is performed. Here, a case is illustrated in which the background of a patient diagnosed as having a malignant neoplasm as a disease and the results of searching for prescribed drugs are displayed as analysis results. For example, in the disease setting, the number of diagnosed patients for each disease classification, the number of diagnosed patients for each disease sub-category, etc. are displayed in graph form. In the patient background, the results of analyzing the number of diagnosed patients for each clinical department, the number of diagnosed patients for each gender, the number of diagnosed patients for each age group, and the like are displayed in graphs. In addition, as a prescription drug search, the number of patients prescribed for each drug, the number of patients prescribed for each generic name of ingredients, and the like are displayed in graphs.
By performing such summary analysis, it is possible to obtain insight into the content of the analysis and to conduct a feasibility study for the purpose of analysis, centered on injury and disease information.

FIG. 8 is a diagram showing an example of a display screen displaying an analysis result obtained when the basic injury/disease analysis is performed.
In this figure, the number of patients diagnosed with colorectal cancer, changes in the number of patients using drugs, and the ranking of prescription drugs are displayed.
For example, quarterly transitions in the number of diagnosed patients are displayed in graph form, and quarterly transitions in the number of prescribed patients are displayed in graph form. In addition, the number of patients prescribed for each generic name of the ingredient and the number of patients prescribed for each product name (drug name) are displayed by graphs.
This will allow us to understand market fluctuations in injury and illness and to conduct feasibility studies for analytical purposes.

FIG. 9 is a diagram showing an example of a display screen displaying an analysis result obtained when basic prescription analysis is performed. Here, the results of an analysis of prescription ratios by indication are displayed. As an analysis method in this case, changes in the rate of diseases to which Prod A (drug A) is prescribed are shown. Also shown are transitions of the total number of patients to whom drug A was prescribed (total number of prescribed patients), the ratio of patients with adaptive prescriptions, the ratio of total prescribed patients, and the ratio of prescribed patients.
By conducting such an analysis, it is possible to understand market fluctuations in terms of drug prescribing and to conduct feasibility studies for analytical purposes.

FIG. 10 is a diagram showing an example of a display screen displaying analysis results obtained when share analysis is performed. Here, changes in the ratio of prescription patients for each drug among colorectal cancer patients are shown. For example, transitions in the total number of colorectal cancer patients to whom drugs were prescribed (total number of prescribed patients), the period total prescribed patient ratio, and the prescribed patient number ratio during the analysis target period are shown.
By performing such an analysis, it is possible to easily grasp the degree of market penetration of a certain pharmaceutical company and trends of other companies based on market share fluctuations (effects).

FIG. 11 is a diagram showing an example of a display screen displaying an analysis result obtained when drug usage analysis is performed. Here, the results of an analysis of indication comparison of the average drug usage per prescription disease of Prod A (drug A) are shown. For example, the average amount of drug used per symptomatic patient, the transition of the average total dosage per prescription patient, and the transition of the average total prescription days per prescription patient are shown.
By performing such an analysis, it is possible to grasp the difference between the assumption and the actual situation, reflect it in the forecast, and grasp the usage amount fluctuation (effect) due to the measures.

According to the embodiments described above, analysis data based on medical data (electronic medical record data) can be provided to pharmaceutical companies and medical device manufacturers. That is, electronic medical chart data is provided as data provided to the outside of medical institutions. As a result, outcomes can be understood even outside the medical institution.
Since pharmaceutical companies have clinical trial data on the drugs they have developed, they can consider improvements to drugs based on the clinical trial data. However, by obtaining the above-mentioned analysis data, it is possible to obtain the medical treatment status of the patient after the drug was prescribed by the doctor, test information, etc. as outcomes. It is possible to proceed with various studies on In addition, since it is possible to grasp the dynamics of not only the company's drugs but also the drugs of other companies, it is possible to examine drugs from a new perspective.
Since medical device manufacturers can refer to the effects of administered drugs, they can obtain data for developing devices that are likely to have synergistic effects with drugs.

In addition, the pharmaceutical company can input a plurality of disease names and drug names to be analyzed as an analysis request. As a result, the name of the disease targeted for medication, the drug administered, the medical treatment status after medication (whether or not there was a hospital visit for the same disease several months later, etc.), and the actual blood results, etc. For example, it is possible to compare the percentage of whether or not the test value falls within the reference value for each of the drug A and the drug B.
In addition, pharmaceutical companies are able to understand the effects of their own drugs to some extent from the results of clinical trials, but by obtaining the above-mentioned analysis results, it is possible to confirm whether the same effects are being followed even after they are marketed, Comparisons of efficacy with drugs from competing pharmaceutical companies can also be made.

In addition, pharmaceutical companies and medical device manufacturers can obtain analysis results by accessing the analysis data providing server 30 using the terminal device 40, so the analysis data providing server 30 can be used as a BI (Business Intelligence) tool. can be provided as

In addition, according to the above-described embodiment, by setting the analysis target to the most recent quarter or the like, it is possible to obtain various information such as quarterly trends and changes in drugs used for a certain disease from which drug to which drug. Analysis can be performed at the cutting edge.
Further, according to the above-described embodiment, when a segment such as the patient's age and sex is specified on the analysis target input screen of the terminal device 40, the chart is immediately linked and the analysis result is analyzed in a state narrowed down to the specified segment. It can be acquired from the data providing server 30 and displayed on the display screen of the terminal device 40 . As a result, even if the user of the terminal device 40 does not have specialized knowledge of data processing, it is possible to immediately subdivide and deepen the analysis axis and segment, which is of interest to the user, which is useful for exploratory data analysis.

Further, according to the above-described embodiments, analysis can be performed based on diseases diagnosed by a doctor, which are included in the electronic medical record data.

According to the above-described embodiments, the analysis target is a disease, but the analysis target is not limited to a disease. . If the electronic medical chart data includes injury, the analysis data providing server 30 can also analyze the drug used for the injury.

The analysis data providing server 30 in the above-described embodiment may be implemented by a computer. In that case, a program for realizing this function may be recorded in a computer-readable recording medium, and the program recorded in this recording medium may be read into a computer system and executed. It should be noted that the "computer system" referred to here includes hardware such as an OS and peripheral devices. The term "computer-readable recording medium" refers to portable media such as flexible discs, magneto-optical discs, ROMs and CD-ROMs, and storage devices such as hard discs incorporated in computer systems. Furthermore, "computer-readable recording medium" refers to a program that dynamically retains programs for a short period of time, like a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. It may also include something that holds the program for a certain period of time, such as a volatile memory inside a computer system that serves as a server or client in that case. Further, the program may be for realizing a part of the functions described above, or may be capable of realizing the functions described above in combination with a program already recorded in the computer system, It may be implemented using a programmable logic device such as an FPGA (Field Programmable Gate Array).

Although the embodiment of the present invention has been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and design and the like are included within the scope of the gist of the present invention.

DESCRIPTION OF SYMBOLS 10... Medical institution data provision system 20... Processed data provision server 30... Analysis data provision server 31... Communication part 32... Storage part 33... Medical information acquisition part 34... Analysis request acquisition part 35... Analysis part , 36... control unit, 37... input unit, 38... output unit, 40... terminal device

Claims (3)

a medical information acquisition unit that acquires medical information including electronic medical record data of a plurality of patients;
an analysis request acquisition unit that acquires an analysis request specifying analysis content;
an analysis unit that performs analysis according to the specified analysis content based on the data included in the electronic medical record data;
an output unit that outputs analysis results;
has
The analysis unit
When the first drug is prescribed in the electronic medical chart data corresponding to the disease name specified by the analysis request from the electronic medical chart data, and when the second drug different from the first drug is prescribed and analyzing the prescription dynamics of each test value, and analyzing the prescription dynamics by calculating the median value of the test values of the test items to be analyzed for the plurality of patients in the analysis target period,
The output unit outputs a patient whose inspection value of the inspection item falls within a reference value for each of the prescription dynamics when the first drug is prescribed and the prescription dynamics when the second drug is prescribed. The percentage of the number of patients who do not fall within the range is displayed on the display screen as a bar graph for each different period of time since the drug was administered.
Analysis data provider. An analytical data providing system comprising the analytical data providing device according to claim 1 and a terminal device,
The terminal device
a transmission unit that transmits an analysis request to the analysis data providing device;
a display unit that receives the output analysis result and displays it on a display screen;
analysis data provision system. A medical information acquisition unit acquires medical information including electronic medical record data of a plurality of patients,
an analysis request acquisition unit acquires an analysis request specifying analysis content;
an analysis unit performing an analysis according to the analysis request based on data of at least one item among disease names, test values, and prescribed drugs included in the electronic medical record data;
An analysis data providing method in which the output unit outputs analysis results,
The analysis performed by the analysis unit includes:
When the first drug is prescribed in the electronic medical chart data corresponding to the disease name specified by the analysis request from the electronic medical chart data, and when the second drug different from the first drug is prescribed and analyzing the prescription dynamics of each test value, including analyzing the prescription dynamics by calculating the median value of the test values of the test items to be analyzed for the plurality of patients during the analysis target period ,
The output from the output unit is that the inspection value of the inspection item is the reference value for each of the prescription dynamics when the first drug is prescribed and the prescription dynamics when the second drug is prescribed. Including displaying the ratio of the number of patients who have achieved and the number of patients who have not, as a bar graph on a display screen for different periods of time since drug administration
How to provide analytical data.

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