Medical examination assistance system, medical examination assistance device, and program

Abstract

To provide a technology that enables personnel engaged in medical treatment to reliably and easily confirm the effect of medication in a system that pertains to the provision of assistance in medical treatment.SOLUTION: Provided is a medical treatment assistance system comprising: measured value acquisition means for acquiring a measured value pertaining to biological information on a patient; medication information acquisition means for acquiring medication information that pertains to medicine prescribed for the patient and which includes information on the first prescription start day that is the first day when medicine is prescribed according to at least one prescription content; average measured value calculation means for calculating an average measured value that represents an average value per prescribed period of the measured values of the patient; means for generating a drug efficacy confirmation assistance image that includes measured value transition information that indicates along a time sequence the transition of the average measured value for each prescribed period before and after the first prescription start day that is the point of reference; and output means for outputting the drug efficacy confirmation assistance image.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention belongs to the technical field related to healthcare, and relates to a medical support system, a medical support device, and a program.

Background Art

[0002] In recent years, the needs for telemedicine have been increasing. As part of this, there has been proposed a medical support system in which biometric information such as blood glucose levels and blood pressure values measured by patients at home is transmitted to a database, and a doctor considers changing the medication while viewing the measurement results (for example, Patent Documents 1 and 2).

[0003] Patent Documents 1 and 2 disclose a medication support device that respectively acquires medication information including the type and amount of a drug, blood pressure measurement information of a patient, and medication information representing the patient's medication status, and comprehensively associates these pieces of information in time series to display the results of medication treatment.

[0004] According to such a device, a doctor can comprehensively associate the information on the drug prescribed to a patient, the patient's medication status, and the blood pressure measurement value to determine the effect of the drug and adopt an appropriate treatment policy.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0006] However, with conventional devices (systems) like those described in the above patent document, there is a problem in that it is difficult to determine whether the effects of a prescription change are beginning to appear, and to what extent, before and after the change, because these effects are masked by daily (i.e., short-term) blood pressure fluctuations. Furthermore, in cases of so-called masked hypertension or white-coat hypertension, differences in blood pressure due to differences in measurement locations occur, making it even more difficult to judge the efficacy of the drug.

[0007] In view of the above-mentioned problems, the present invention aims to provide a system related to medical support that enables medical professionals to reliably and easily confirm the effects of medication. [Means for solving the problem]

[0008] To solve the above problems, the present invention adopts the following configuration. That is, A means for acquiring measurement values ​​related to the patient's biological information, A means for acquiring medication information that acquires medication information, including information on the first prescription start date, which is the earliest date on which the medication was prescribed to the patient according to at least one prescription, with respect to the medication prescribed to the patient, An average measurement value calculation means for calculating the average measurement value which is the average value of the measurement values ​​of the patient over a predetermined period, A drug efficacy confirmation support image generation means generates a drug efficacy confirmation support image that includes measurement value change information showing the change in the average measurement value for each predetermined period before and after the first prescription start date in chronological order, Output means for outputting the aforementioned drug efficacy confirmation support image, It is a medical support system that has [the following features].

[0009] Here, the "specified period" is not particularly limited as long as it is a period that is effective for confirming the efficacy of the drug, but it can be, for example, one week or more. Also, the "output means" may be a display device such as a liquid crystal display, or a printing device such as a printer.

[0010] With this configuration, it is possible to compare the average values ​​of biological information for each predetermined period after the date the prescription was started (or changed; the same applies hereinafter) with the average values ​​of biological information for each predetermined period prior to the reference date. In other words, by reviewing the drug efficacy confirmation support image, healthcare professionals can compare the average values ​​of the measured biological values ​​within the predetermined period from the start of the prescription, thereby easily and reliably confirming the effect of the medication.

[0011] Furthermore, the measurement value acquisition means acquires information relating to the time period and / or location where the biological information was measured. The average measurement value calculation means calculates the average measurement value for each time period and / or location where the biological information was measured. The measurement value change information in the drug efficacy confirmation support image may indicate the change in the average measurement value for each time period and / or location where the biological information was measured.

[0012] Here, "time period" can refer to divisions such as morning, noon, evening, and night. For example, in the case of blood pressure measurement, it is recommended to measure twice, once after waking up (before breakfast) and once before going to bed, and it is preferable to be able to manage measurement data for each of the above time periods. However, "information related to time period" may also be time data indicating the date and time, and it is sufficient to specify the time period within the range to which the time belongs. Furthermore, "location" here can refer to classifications of areas that may affect the measurement values ​​of biological information, such as home (house) or doctor's office. However, "information related to location" may also be GPS positioning information, and the "location" may be specified by such positioning information.

[0013] By calculating average measurements for each time of day and location, it becomes possible to separate the components of increases and decreases in measurement values ​​caused by differences in measurement time and location, and then display the changes in biological information before and after the start of prescription. This allows healthcare professionals to make more appropriate judgments about drug efficacy.

[0014] Furthermore, the medical support system further includes a goal achievement determination means for determining whether or not the patient's biological information has achieved a predetermined improvement goal for each average measurement value. The measurement value change information in the aforementioned drug efficacy confirmation support image may indicate whether or not the improvement target has been achieved for each average measurement value.

[0015] Here, the "target improvement value" may be a general, so-called normal value, or it may be a value determined on a case-by-case basis according to the individual patient's situation, prescription, etc. Furthermore, it may be an absolute value based on the measured value of the biological information itself, or it may be a relative value that is a target increase or decrease based on the measured value at a certain point in time. In addition, "information indicating whether or not the target has been achieved" can be, for example, a text message, color, symbol (mark), or a line segment on a graph that shows the target value. With this configuration, healthcare professionals can easily check whether or not the target improvement value has been achieved, and can make drug efficacy judgments more quickly.

[0016] Furthermore, the medical support system further includes a change calculation means for calculating the amount of increase or decrease in the average measured value during one predetermined period compared to the average measured value during the immediately preceding predetermined period. The measurement value change information in the drug efficacy confirmation support image is the increase / decrease for each average measurement value. The amount of change may be shown in a way that makes it visually clear whether it is an increase or decrease.

[0017] Here, the difference between an increase or decrease in the amount of change can be indicated, for example, by text message, color, or symbol (mark). With such a configuration, healthcare professionals can easily check the amount of change in the average measured value, enabling them to make drug efficacy judgments more quickly.

[0018] The medical support system further includes reliability determination means for determining whether the average measured value has a predetermined reliability, and the measurement value transition information in the drug efficacy confirmation support image may be configured to indicate the presence or absence of reliability for each average measured value. Further, the reliability determination means may determine the presence or absence of reliability based on whether the number of measurements of the biological information within the predetermined period meets a predetermined standard.

[0019] Here, the presence or absence of reliability can be indicated by a text message, color, symbol (mark), etc. Note that whether the number of measurements meets a predetermined standard may be determined for each time zone or location. With such a configuration, when the reliability of the average measured value is poor (such as when the number of measurements is small), it can be recognized, enabling medical staff to make judgments on the premise of low reliability.

[0020] Further, when there is an abnormality during the measurement of the biological information, the measurement value acquisition means acquires information regarding the abnormality together with the measurement value. The average measured value calculation means calculates the average value of the measured values within the predetermined period excluding the measured values at the time of the abnormality. The reliability determination means may determine whether the number of measurements of the biological information at the time of the abnormality is excluded from the number of measurements and meets the predetermined standard.

[0021] Here, an abnormality during the measurement of biological information can include, for example, body movement or arrhythmia that affects the measurement. With such a configuration, it is possible to prevent the reliability of the average measured value from being adversely affected by including inappropriate measurement data.

[0022] Further, the dosing information includes the name of the prescribed drug and information related to the amount of the prescribed drug. The drug efficacy confirmation support image may show drug-related information including the dosing information in addition to the measurement value transition information.

[0023] With this configuration, healthcare professionals can easily see the relationship between prescribed medications and their effects, allowing them to quickly consider treatment strategies.

[0024] Furthermore, if the medication information includes medications prescribed to the patient under other prescriptions in addition to those prescribed under the first prescription, it will also include information regarding the names and quantities of the medications prescribed under those other prescriptions. If the period indicated by the measurement value change information displayed in the drug efficacy confirmation support image includes a period in which the drug was prescribed under other prescriptions, the drug-related information will also show information regarding the name and quantity of the drug during that period.

[0025] With this configuration, medication information before and after prescription changes can be viewed in a list, reducing the burden on healthcare professionals.

[0026] Furthermore, the medication information includes information on the second prescription start date, which is the earliest date on which the medication was prescribed under the other prescription details. If the start date of the second prescription falls within the period displayed in the aforementioned drug efficacy confirmation support image, The aforementioned drug efficacy confirmation support image may also display a marker indicating the start date of the second prescription.

[0027] Furthermore, the start date of the second prescription may be chronologically earlier or later than the start date of the first prescription. With this configuration, it can be suggested to healthcare professionals that it is possible to check the information on changes in measured values ​​based on the start date of the second prescription.

[0028] Furthermore, the medical support system is further equipped with means for acquiring medication-related information, which acquires medication information relating to the patient's medication status and / or side effect information relating to side effects that occurred as a result of the patient taking the medication. The drug-related information in the drug efficacy confirmation support image may also include the medication information and / or the side effect information.

[0029] Here, medication information can include, for example, whether or not medication was taken and the medication adherence rate, while side effect information can include the type and frequency of side effects. Furthermore, medication information and side effect information can be obtained voluntarily from the patient through a chatbot interaction, for example, as a function of an application on a portable information processing terminal such as a smartphone used by the patient. However, the means of obtaining information are not limited to these forms and may be any. As another example, a sensor could be installed in the container holding the patient's medication to detect when the medication is removed, and medication information could be obtained from the information acquired by the sensor (amount of medication removed, date and time). Alternatively, medication information could be obtained from the sales history by linking with a database of the pharmacy where the patient purchases medication.

[0030] This configuration allows healthcare professionals to easily review medication information and side effect information at a glance, which helps them in considering appropriate treatment strategies.

[0031] Furthermore, the measurement value change information may include a graphical representation of the changes in the average measurement value of the biological information. With such a configuration, it becomes possible to grasp the changes in the average measurement value more intuitively, which can be useful for healthcare professionals in making drug efficacy judgments.

[0032] Furthermore, the measured values ​​of the aforementioned biological information include blood pressure and pulse rate. The aforementioned graph display may show the average values ​​of the blood pressure and pulse rate measured during the same predetermined period on the same axis.

[0033] Furthermore, the present invention includes the measurement value acquisition means, the medication information acquisition means, the average measurement value calculation means, and the drug efficacy confirmation support image generation means, and can also be considered as a medical support device that constitutes at least a part of the medical support system.

[0034] Furthermore, the present invention can also be viewed as a program for enabling a computer to function as such a medical support device, and as a computer-readable recording medium on which such a program is stored non-temporarily.

[0035] Furthermore, each of the above configurations and processes can be combined with each other to constitute the present invention, provided that no technical inconsistencies arise. [Effects of the Invention]

[0036] According to the present invention, a technology can be provided that enables healthcare professionals to reliably and easily confirm the effects of medication in a system related to medical support. [Brief explanation of the drawing]

[0037] [Figure 1] Figure 1 is a schematic diagram showing the configuration of the medical support system according to the embodiment. [Figure 2] Figure 2 is a flowchart schematically showing the flow of telemedicine performed in the example. [Figure 3] Figure 3 is a block diagram showing the functional configuration of a server device according to an embodiment. [Figure 4] Figure 4 is a block diagram showing the functional configuration of the physician's terminal according to the embodiment. [Figure 5] Figure 5 is the first diagram illustrating an example of a screen displayed on the physician's terminal. [Figure 6] Figure 6 is a second diagram illustrating an example of a screen displayed on the physician's terminal. [Figure 7] Figure 7 is the third diagram illustrating an example of a screen displayed on the physician's terminal. [Figure 8] Figure 8 is a block diagram showing the functional configuration of the patient-side terminal according to the embodiment. [Figure 9] Figure 9A is the first figure showing an example screen when the automated medical interview program according to the embodiment is executed. Figure 9B is the second figure showing an example screen when the automated medical interview program according to the embodiment is executed. [Figure 10] Figure 10 is a diagram showing the flow of information exchange and processing within the medical support system according to the embodiment. [Figure 11] Figure 11 is the first figure showing an example of a screen output on the physician's terminal related to a modified example. [Figure 12] Figure 12 is a second figure showing an example of the screen output on the physician's terminal related to a modified example. [Figure 13] Figure 13 is a schematic diagram of another type of medical support system. [Modes for carrying out the invention]

[0038] <Example 1> Specific embodiments of the present invention will be described below with reference to the drawings. However, unless otherwise specified, the dimensions, shapes, and relative arrangements of the components described in these embodiments are not intended to limit the scope of the present invention to those specific components.

[0039] (System Configuration) Figure 1 is a schematic diagram showing the configuration of the medical support system 1 according to this embodiment. As shown in Figure 1, the medical support system 1 consists of a server device 100, a physician-side terminal 200 used by a physician, a patient-side terminal 300 used by a patient P, and a blood pressure monitor 400, and each of these components can communicate with each other via a communication network N.

[0040] The biometric information system 1 according to this embodiment is a system related to telemedicine, and it is intended to assist doctors in treating patients by transmitting measured biometric information such as blood pressure values ​​measured by the patient at home to a server device 100 via a network N, processing the information, and providing it to medical professionals.

[0041] Figure 2 is a flowchart schematically showing the flow of telemedicine performed in this embodiment. Below, we will use Figure 2 to specifically explain the telemedicine performed in this embodiment. That is, a patient who has received a confirmed diagnosis of hypertension starts medication treatment according to the doctor's prescription and continuously measures their blood pressure themselves at home. The biometric information system 1 collects these measurements, and after a predetermined period (in this case, one week), it is determined whether the average value of the measurements during that predetermined period (hereinafter also referred to as the average measurement value) has achieved a predetermined target value (hereinafter, the average measurement value achieving the target value will also be expressed as "controlled"). Here, the average measurement value achieving the target value means, for example, that the (average) blood pressure value is below a predetermined threshold. If the average measurement value is in a controlled state, the patient continues to take the same medication, and after another predetermined period (in this case, one week), it is determined again whether the average blood pressure measurement value is in a controlled state.

[0042] On the other hand, if the target value is not achieved, the doctor will check whether the patient is taking their medication as prescribed. In addition, the doctor will check the changes in the average measured value over a predetermined period and use this information, along with the information on medication adherence, to determine the treatment plan. It should be noted that the check of medication adherence information may be performed regularly regardless of whether the average measured value has been successfully controlled.

[0043] The doctor will monitor the changes in the average blood pressure readings, and if they determine that the medication is having a certain effect, they will decide to continue prescribing the same medication (wait and see). In that case, after a predetermined period (in this case, one week), a determination will be made again as to whether or not the average blood pressure readings are under control.

[0044] Furthermore, if the medication is deemed ineffective, the doctor will consider the possibility of other diseases and decide to conduct additional tests or implement treatment that takes other diseases into account (including changes in prescription). In such cases, a reassessment will be made after a predetermined period (in this case, one week) to determine whether the average blood pressure readings are under control.

[0045] Furthermore, if the condition is not due to another disease, but rather to side effects that could lead to improvement by changing the medication, the prescription will be modified. In such cases, a reassessment will be made after a predetermined period (in this case, one week) to determine whether the average blood pressure readings are under control.

[0046] The above flow is repeated to perform telemedicine for hypertensive patients, The medical support system 1 in this embodiment assists in carrying out such a flow and reduces the burden on doctors (healthcare professionals). The various components of the system will be described in detail below.

[0047] (Server device) Figure 3 is a block diagram showing the functional configuration of the server device 100. The server device 100 is composed of a general server computer and includes a control unit 110, communication means 120, and storage means 130, as shown in Figure 3.

[0048] The control unit 110 is a means for controlling the server device 100 and is composed of a processor such as a CPU (Central Processing Unit) and a DSP (Digital Signal Processor). The control unit 110 also includes the following functional modules related to biological information management: a measurement value acquisition unit 111, an average measurement value calculation unit 112, a reliability determination unit 113, a target achievement determination unit 114, a change amount calculation unit 115, a medication information acquisition unit 116, a medication-related information acquisition unit 117, and a drug efficacy confirmation support image generation unit 118. Each of these functional modules will be described in detail later.

[0049] The communication means 120 is a communication means for connecting the server device 100 to the communication network N, and is composed of, for example, a communication interface board and a wireless communication circuit for wireless communication.

[0050] The storage means 130, although not shown in the figures, includes a main memory unit such as ROM (Read-only memory) or RAM (Random Access Memory), and an auxiliary storage unit such as EPROM, HDD (Hard Disk Drive) or SSD (Solid State Device), or removable media. The auxiliary storage unit stores the operating system (OS), various programs, etc. The stored programs are then loaded into the working area of ​​the main memory unit and executed, and through the execution of the programs... By controlling each component, it becomes possible to realize each functional unit that fulfills its predetermined purpose.

[0051] The measurement value acquisition unit 111 acquires the measured values ​​of biological information (e.g., systolic blood pressure, diastolic blood pressure, pulse rate, etc.) measured by the patient P with the blood pressure monitor 400 via the communication network N and stores them in the storage means 130. The information acquired by the measurement value acquisition unit 111 includes not only the measured values ​​of biological information, but also information related to the time period in which the measurement was taken (e.g., time data), information related to the location in which the measurement was taken (e.g., home, doctor's office, etc.), and information related to abnormalities during measurement that may adversely affect the reliability of the measured values ​​(e.g., body movement exceeding the acceptable range, presence of irregular pulse waves, etc.).

[0052] The average value calculation unit 112 calculates the average measurement value, which is the average of the acquired measurement values ​​over a predetermined period. If there are multiple time periods and locations where biological information was measured, the unit calculates the average measurement value for each time period and location. Furthermore, if there are abnormalities during measurement as described above, the measurement value at the time of the abnormality may be excluded from the calculation of the average value. The calculated average value is stored in the storage means 130.

[0053] The reliability determination unit 113 determines whether the calculated average measured value has a certain level of reliability. Specifically, for example, the reliability may be determined by whether the number of blood pressure measurements (and / or measurement opportunities) within a predetermined period has reached a certain number. In addition, if there is an abnormality during measurement as described above, the measurement when the abnormality occurred may not be counted in the number of measurements.

[0054] The target achievement determination unit 114 determines whether the improvement target, which is set in advance for each individual patient P, has been achieved for each calculated average measurement value. Specifically, the determination can be made based on whether the average measurement value deviates from a predetermined upper (lower) threshold value that serves as the improvement target value. The result of this determination indicates whether or not the patient P's blood pressure value is under control. The improvement target value can be stored in advance in a storage means 130, for example.

[0055] The change amount calculation unit 115 compares the average measured value over a predetermined period (for example, one week) with the average measured value over the immediately preceding predetermined period, and calculates the amount of increase or decrease from the immediately preceding average measured value. The value calculated here is stored in the storage means 130.

[0056] The medication information acquisition unit 116 acquires medication information related to the names of the drugs prescribed to patient P, the amount of each drug, and the start date of the prescription. The medication information may be stored, for example, in a storage means 130, including past history, and the medication information may be acquired by reading the information from the storage means 130. Alternatively, the medication information may be acquired via a communication means from a physician's terminal 200 (described later), an electronic medical record management system (not shown), etc.

[0057] Furthermore, the medication-related information acquisition unit 117 acquires medication-related information, including medication information such as whether the patient is taking medication and the medication rate (frequency of medication), as well as side effect information such as the content and frequency of side effects, via the patient terminal 300, for example, as will be described later. The timing for acquiring medication-related information can be when the goal achievement determination unit 114 determines that the improvement goal has not been achieved, for example. However, it is not limited to this, and medication-related information may be acquired periodically.

[0058] The drug efficacy confirmation support image generation unit 118 generates a drug efficacy confirmation support image that displays a list of measurement value change information showing the change in the average measurement value calculated by the average value calculation unit 112 over a predetermined period, medication information, and medication-related information (hereinafter, medication information and medication-related information are collectively referred to as drug-related information). Specifically, based on the data output from each of the functional units—the measurement value acquisition unit 111, the average measurement value calculation unit 112, the reliability determination unit 113, the target achievement determination unit 114, the change amount calculation unit 115, the medication information acquisition unit 116, and the medication-related information acquisition unit 117—and stored in the storage means 130, the display content related to the measurement value change information and drug-related information is determined. For example, the measurement value change information includes information related to the reliability of the average measurement value, whether the improvement target has been achieved, and the amount of change from the previous average measurement value for each displayed average measurement value. The generated drug efficacy confirmation support image is transmitted to the physician's terminal 200 via the communication network N. Details of the drug efficacy confirmation support image will be described later.

[0059] (Doctor's terminal) Figure 4 is a block diagram showing the functional configuration of the physician's terminal 200. The physician's terminal 200 is a general-purpose computer, such as a fixed-location personal computer, a portable notebook personal computer, or a tablet terminal, and is equipped with a control unit 210, input means 220, output means 230, storage means 240, and communication means 250.

[0060] The control unit 210 is a means for controlling the physician's terminal 200 and is composed of, for example, a CPU. The input means 220 is a means for receiving information input from external sources, such as a keyboard, mouse, touch panel, camera, and microphone. The output means 230 is composed of, for example, a liquid crystal display and a speaker. The storage means 240 is composed of, similar to a server device, a main memory unit, an auxiliary memory unit, etc., and stores the operating system (OS), various programs, and various data acquired via the communication network N. The communication means 250 is composed of, for example, a communication interface board and a wireless communication circuit for wireless communication.

[0061] Although not shown in the diagram, the physician's terminal may also be able to access the electronic medical record management system. In such a case, the patient's electronic medical record data stored in the electronic medical record management system may be read and this electronic medical record data may be sent to the server device 100, or information sent from the server device 100 may be linked with the electronic medical record data. In such a case, it also becomes possible for the physician to check drug efficacy support images via the electronic medical record management system.

[0062] On the physician's terminal 200, drug efficacy confirmation support images are acquired from the server device 100 via the communication network N, and this information is output to the output means 230. Figures 5 to 7 show examples of screens displayed on the output means 230 of the physician's terminal 200. Figure 5 is an explanatory diagram showing an example of a drug efficacy confirmation support image for one of the patients P under the care of the physician who is the administrator of the terminal. As shown in Figure 5, the drug efficacy confirmation support image shows patient attribute information such as patient name, gender, and age at the top, measurement value change information Tr in the middle, and drug-related information Me at the bottom. Figure 6 is an enlarged view of the measurement value change information Tr part, and Figure 7 is an enlarged view of the drug-related information Me part.

[0063] As shown in Figures 5 to 7, the measurement value change information Tr in this embodiment displays the average values ​​(Weekly avg home BP & Pulse) for systolic blood pressure (SYS), diastolic blood pressure (DIA), and heart rate (Pulse) for each week before and after the prescription change date (December 21, 2021), in chronological order. More specifically, the average values ​​for home blood pressure (blood pressure measured at home) for SYS and DIA for each time period, am (after waking up) and pm (before going to bed), are displayed for each time period. In this embodiment, the prescribed period is divided based on the prescription change date, with the following day as the starting date (i.e., the prescription change date is included within the period one week prior). This division is desirable because it is thought that the actual medication taken after a prescription change often changes not on the day of the prescription change, but the day after.

[0064] Furthermore, the measurement value change information Tr also shows the amount of change compared to the previous week's value, and the difference from the pre-set target value (in this example, SYS is 130 mmHg and DIA is 80 mmHg). In this embodiment, the average value from the previous week and the difference from the target value are indicated by adding the symbols "+" and "-" next to the numbers, respectively. However, instead of this, or in addition to this, the color of the text may be changed (red for increases, green for decreases, etc.). Symbols such as arrows can also be used.

[0065] Furthermore, for each average measured value over a period, information indicating whether the target value was achieved (in this embodiment, whether the average measured value fell below the target value) is displayed (Controlled, Uncontrolled). This information is not limited to text; it may also be indicated by changing the color of the frame, for example. In addition, in the measured value change information Tr of this embodiment, if it is determined that the average measured value lacks a predetermined level of reliability, this is indicated. Specifically, the column indicating whether the target value was achieved displays "Insufficient data," indicating that the amount of data is insufficient.

[0066] Furthermore, the above average measurement information is not only presented numerically, but also displayed as a graph, as shown in Figures 5 and 6, where bars are placed between SYS and DIA, visually showing the relationship with the threshold line indicating the target value. In addition, the graph includes data for each time of day (am and pm), as well as nocturnal blood pressure (BP Nocturnal) and blood pressure measured in the examination room (BP If measurement data from Office is available, a graph of that data will also be displayed. Pulse rate is also displayed on the same axis as blood pressure. Furthermore, if the reliability of the average measurement does not meet a predetermined standard, the graph will be displayed with hatching, making it immediately clear that the data is unreliable.

[0067] Furthermore, as shown in Figures 5 and 7, the drug-related information Me in this embodiment displays information such as the types of medications taken by patient P during that week, the actual frequency of medication (shown as Adherence, or adherence rate, in this example), and the symptoms and frequency of reported side effects, along with the measurement value change information Tr in a time-series format. Information indicating prescription details such as the brand, dosage form, and amount of medication (Prescription) can also be referenced.

[0068] By referring to a screen that displays this measurement value change information Tr and medication information Me in one place, physicians can easily and accurately grasp the effects of prescribed medications and quickly decide what treatment plan should be adopted for patient P.

[0069] (Patient-side terminal) Figure 8 is a block diagram showing the functional configuration of the patient-side terminal 300. The patient-side terminal 300 is a portable information processing terminal such as a smartphone, tablet, or smartwatch-type wearable device, and is equipped with a control unit 310, input means 320, output means 330, storage means 340, and communication means 350.

[0070] The control unit 310 is a means for controlling the patient terminal 300 and is composed of, for example, a CPU. The input means 320 can be a touch panel display integrated with the output means 330. The storage means 340, like other terminals, is composed of a main memory unit, an auxiliary memory unit, etc., and stores the operating system (OS), various programs, and various data acquired via the communication network N. The communication means 250 is composed of, for example, a wireless communication circuit for wireless communication.

[0071] The control unit 310 includes an automated medical interview execution unit 311 as a functional module related to medication management. The automated medical interview execution unit 311 executes an application that automatically asks about the frequency of medication, the presence and type of side effects, etc., by receiving an automated medical interview trigger signal transmitted from, for example, the server device 100. The automated medical interview application can take the form of, for example, a chatbot, and may be stored in advance in the storage means 340 of the patient terminal 300, or it may be provided by the server device 100 in the form of an ASP (Application Service Provider). Figure 9 shows an example of the screen when the automated medical interview program is executed. Figure 9A shows the medical interview screen regarding medication, and Figure 9B shows the medical interview screen regarding side effects.

[0072] The responses that patient P provides to the automated medical questionnaire, as described above, are transmitted from the communication device 350 to the server device 100 via the network N. In addition, measurement data acquired from the blood pressure monitor 400 (described later), as well as other necessary information entered by patient P, are transmitted to the server device 100.

[0073] Furthermore, the patient terminal 300 receives behavioral evaluation information, including information related to the evaluation of the efforts made for the treatment of patient P, from the server device 100, and outputs this information to the output means 330.

[0074] (Blood pressure monitor) The blood pressure monitor 400 is used by patient P for daily blood pressure measurement and can take any form. For example, it may be a general stationary type, a portable type with a cuff wrapped around the upper arm, or a wearable type worn on the patient's wrist. The blood pressure is measured by the oscillometric method at the operation of patient P (or, in the case of a wearable type, at a pre-set timing or time interval), and the blood pressure data is wirelessly transmitted to the patient terminal 300, for example, by wireless communication. Short-range wireless data communication standards such as Bluetooth® or infrared communication can be used as the communication interface between the blood pressure monitor 400 and the patient terminal 300.

[0075] The blood pressure monitor 400 does not necessarily have a means of communication. In that case, the patient P may manually input measurement data (including blood pressure value, pulse rate, and measurement date and time) into the patient terminal 300, and this information may be sent to the server device 100.

[0076] Furthermore, the patient terminal 300 may also incorporate the functions of a blood pressure monitor 400. For example, if the patient terminal 300 is a wearable device worn on the patient P's wrist, it can also function as a blood pressure monitor 400 if it has a blood pressure measurement function. Conversely, a stationary blood pressure monitor 400 may also function as an information processing terminal and thus serve as the patient terminal 300.

[0077] Furthermore, the blood pressure monitor 400 may use a measurement method that measures blood pressure with each heartbeat, or a trigger measurement method that estimates blood pressure fluctuations based on pulse wave propagation time and uses those fluctuations as a trigger to measure blood pressure at specific points.

[0078] (Information processing flow within the system) Next, the flow of information processing performed in the biological information system 1 according to this embodiment having the above configuration will be explained. Figure 10 is a diagram showing the flow of information exchange and processing performed within the medical support system 1. As shown in Figure 10, first, the measurement data obtained when patient P measures their own blood pressure with a blood pressure monitor 400 is input to the patient terminal 300 (S101). This measurement data is sent from the patient terminal 300 each time, or in batches for a predetermined period (for example, one week), to the service provider. It is sent to the device 100 (S102).

[0079] In the server device 100, the received measurement data is stored in the storage means 130, and based on the measurement data, it is confirmed whether or not patient P's blood pressure is under control by comparing it with predetermined target values ​​(S103). Here, different target values ​​are set for systolic blood pressure and diastolic blood pressure, and it is determined whether or not the average values ​​of systolic and diastolic blood pressure over predetermined periods have reached the corresponding target values. If the blood pressure is not under control (i.e., either systolic or diastolic blood pressure exceeds the target value), the patient terminal 300 is contacted for information such as medication frequency (S104).

[0080] When patient P, who has received the inquiry, inputs medication information, including the frequency of medication, into the patient terminal 300, the medication information is transmitted to the server device 100 (S105). The server device 100 generates a drug efficacy confirmation support image that includes information related to changes in blood pressure values ​​and information related to patient P's medication frequency (S106).

[0081] Subsequently, the physician sends request information for a drug efficacy confirmation support image to the server device 100 via the physician's terminal 200 (S107). The server device 100, upon receiving the request, provides the drug efficacy confirmation support image to the physician's terminal 200 (S108), and the drug efficacy confirmation support image is displayed on the output means 230 of the physician's terminal 200 (S109). Here, the drug efficacy confirmation support image may be provided as data that is transmitted to the physician's terminal 200 and stored in the storage means 240 of the physician's terminal 200, or it may be provided in the form of an ASP, and the image data may not be saved. The content of the drug efficacy confirmation support image is as described above.

[0082] As described above, the medical support system 1 according to this embodiment can display a drug efficacy confirmation support image that shows the changes in the average measured values ​​for a predetermined period before and after the prescription start date (change date). Therefore, it becomes possible to easily and reliably determine whether or not the prescription change is effective without being confused by daily fluctuations in blood pressure values.

[0083] <Variation> In the above example, we showed an example of a drug efficacy confirmation support image when no other prescription change dates exist within the display period, based on the most recent prescription change date (December 21st). However, there may be cases where other prescription change dates exist within the display period. This modified example explains an example of a drug efficacy confirmation support image in such a case.

[0084] Figures 11 and 12 are explanatory diagrams showing examples of drug efficacy confirmation support images related to this modified example. In the drug efficacy confirmation support image shown in Figure 11, a prescription change was made on December 21st, and the measurement value change information and drug-related information are shown from there until January 10th of the following year. This modified example explains a case where another prescription change was made on December 31st. In such a case, as shown in Figure 11, a prescription start date mark M is displayed at the top of the column indicating the week to which December 31st belongs (the second week from the prescription change on December 21st), indicating that a prescription with the new prescription content was started (a prescription change was made) during that week. In addition to this mark, the actual prescription start date may also be displayed. By seeing this prescription start date mark M, the physician can understand that there are prescription start dates for other prescription contents within the period displayed in the drug efficacy confirmation support image.

[0085] Then, by performing operations such as clicking the prescription start date mark M, the other prescription start date can be set as the reference date for the measurement value change information. Figure 12 shows an example of a drug efficacy confirmation support image that displays measurement value change information with December 31st as the reference date. Figure 12 shows the resetting and recalculation of the predetermined period for calculating the average measurement value with December 31st as the reference date. The following is an example of a drug efficacy confirmation support image that has been updated and redrawn (recreated) with updated drug-related information. In the image in Figure 11, December 31st was included in the second week. Therefore, in the redrawn drug efficacy confirmation support image shown in Figure 12, the new first week includes the latter half of the second week and the first half of the third week in the example image in Figure 11, and the new second week includes the latter half of the aforementioned third week. Furthermore, by resetting the predetermined period and recalculating the average measurement value, the average measurement value for the first week is displayed as "Controlled." In other words, it can be confirmed that a further prescription change was made on December 31st, and that the improvement target was achieved as a result of this prescription change.

[0086] Furthermore, if there is additional data that can be displayed beyond the second week in the drug efficacy confirmation support image in Figure 12, the reference date may be shifted to the left by approximately two weeks.

[0087] <Other> The above examples are merely illustrative illustrations of the present invention, and the present invention is not limited to the specific forms described above. The present invention can be modified and combined in various ways within the scope of its technical concept. For example, in the above embodiments, the doctor-side terminal 200 and the patient-side terminal 300 were described as a single configuration each, but as shown in Figure 13, the present invention can of course also be applied as a medical support system 2 equipped with multiple doctor-side terminals 200a to 200n and / or multiple patient-side terminals 300a to 300n.

[0088] Furthermore, the means of obtaining medication information are not limited to automated consultation programs using chatbots. For example, a sensor could be installed in the container for the medication taken by patient P to detect when the medication is removed, and medication information could be obtained based on the information related to the removal of the medication detected by the sensor (such as the frequency and amount of medication taken). Alternatively, by linking with the system of the pharmacy used by patient P, medication information could be obtained from information such as the medications sold and the timing of the sales. [Explanation of symbols]

[0089] 1, 2... Biometric Information Management System 100... Server device 110, 210, 310... Control Unit 120, 240, 340...Storage means 130, 250, 350... Communication methods 200... Doctor's terminal 220, 320... Input methods 230, 330... Output means 300...Patient terminal 400... Blood pressure monitor P...patient N... Communications Network Tr...Measurement value change information Me... Drug-related information M... Prescription start date mark

Claims

1. A measurement value acquiring means for acquiring measurement values ​​related to biological information of a patient; A medication information acquisition means for acquiring medication information including information on a first prescription start date, which is the earliest date on which a drug was prescribed according to at least one prescription content, for a drug prescribed to the patient; an average measurement value calculation means for calculating an average measurement value which is an average value of the measurement values ​​of the patient for each predetermined period; a reliability determination means for determining whether the average measurement value has a predetermined reliability based on whether the number of measurements of the biological information within the predetermined period satisfies a predetermined standard; a drug efficacy confirmation support image generating means for generating a drug efficacy confirmation support image including measurement value transition information showing the transition of the average measurement value for each of the predetermined periods before and after the first prescription start date in a time series; an output means for outputting the drug efficacy confirmation support image; It has The measurement value transition information in the drug efficacy confirmation support image indicates whether or not the reliability is present for each of the average measurement values ​​in a manner that allows the reliability to be discriminated. A medical support system comprising:

2. the measurement value acquisition means further acquires information related to a time period and / or a place where the biological information was measured; The average measurement value calculation means calculates the average measurement value for each time period and / or location where the biological information was measured, The measurement value transition information in the drug efficacy confirmation support image indicates a change in the average measurement value for each time period and / or location where the biological information is measured.

2. The medical support system according to claim 1 .

3. The method further includes a goal achievement determination means for determining whether or not a preset improvement goal is achieved for the biological information of the patient for each of the average measurement values, The measurement value transition information in the drug efficacy confirmation support image indicates information on whether or not the improvement target is achieved for each of the average measurement values.

3. The medical support system according to claim 1 or 2.

4. The method further includes a change amount calculation means for calculating an increase or decrease in the average measurement value in one of the predetermined periods from the average measurement value in the previous predetermined period, The measurement value transition information in the drug efficacy confirmation support image indicates the amount of increase or decrease in each average measurement value so that the amount of increase or decrease can be visually recognized. The medical support system according to any one of claims 1 to 3.

5. the measurement value acquiring means acquires information on the abnormality together with the measurement value when an abnormality is detected during measurement of the biological information; the average measurement value calculation means calculates an average value of the measurement values ​​within the predetermined period excluding the measurement value when the abnormality occurs, the reliability determination means excludes the measurement of the biological information when the abnormality is detected from the number of measurements and determines whether the predetermined criterion is satisfied.

2. The medical support system according to claim 1 .

6. The medication information includes the name of the prescribed medication and information regarding the amount of the prescribed medication, The drug efficacy confirmation support image shows drug-related information including the medication information in addition to the measurement value transition information. The medical support system according to any one of claims 1 to 5.

7. The medication information includes, in the case where a drug prescribed for the patient is prescribed in accordance with another prescription content in addition to the drug prescribed in accordance with the one prescription content, information on the name and amount of the drug in the other prescription content, When a period during which a drug was prescribed according to the other prescription content is included within a period indicated by the measurement value transition information displayed on the drug efficacy confirmation support image, the drug-related information also indicates information regarding the name and amount of the drug during the period during which the drug was prescribed according to the other prescription content.

7. The medical support system according to claim 6.

8. The medication information includes information on a second prescription start date, which is the earliest date on which a drug was prescribed under the other prescription content, When the second prescription start date is included in the period displayed in the efficacy confirmation support image, a sign indicating the second prescription start date is displayed in the efficacy confirmation support image. The medical support system according to claim 7 .

9. The method further includes a medication-related information acquisition means for acquiring medication information related to the medication status of the patient and / or side effect information related to side effects caused by the patient taking the medication, The drug-related information in the drug efficacy confirmation support image also indicates the medication information and / or the side effect information. The medical support system according to any one of claims 6 to 8.

10. The measurement value transition information includes a graph showing the transition of the average measurement value of the biological information. The medical support system according to any one of claims 1 to 9.

11. The measured values ​​of the biological information include a blood pressure value and a pulse rate, The graph display shows average values ​​of the blood pressure value and the pulse rate measured during the same predetermined period on the same axis. The medical support system according to claim 10 .

12. 12. A medical support device comprising the measurement value acquiring means, the medication information acquiring means, the average measurement value calculating means, and the drug efficacy confirmation supporting image generating means, and constituting at least a part of the medical support system according to claim 1.

13. A program for causing a computer to function as the medical support device of claim 12.

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