Biological information processing system, biological information processing apparatus, biological information processing method, and program

The biological information processing system addresses telemedicine workload and patient compliance issues by automating data comparison and generating support images, enabling efficient treatment evaluation and reduced patient input.

JP7707655B2Active Publication Date: 2025-07-15OMRON HEALTHCARE CO LTD
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Patent Information

Application Number
JP2021087307
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-05-25
Publication Date
2025-07-15
Estimated Expiration
2041-05-25

AI Technical Summary

Technical Problem

Existing telemedicine systems burden medical staff with excessive workload due to the increasing volume of biological data and lack evaluation of treatment effectiveness, and patients face significant monitoring burdens and low compliance, making it difficult to determine appropriate treatment policies.

Method used

A biological information processing system that includes measurement value acquisition, comparison with preset criteria, medication information acquisition, and generation of support images and warning information to assist medical staff in determining treatment appropriateness and reduce patient input burden.

Benefits of technology

The system allows for quick determination of treatment effectiveness, reducing workload for both medical staff and patients by providing visual support for treatment evaluation and minimizing patient input, thus maintaining motivation and improving compliance.

✦ Generated by Eureka AI based on patent content.

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Abstract

To provide a technique capable of early determining whether or not a current treatment method is appropriate and reducing the workload of medical workers and patients in a system related to telemedicine.SOLUTION: A biometric information processing system comprises: measurement value acquisition means for acquiring a measurement value related to biometric information on a patient; comparison means for comparing the measurement value with a preset improvement target criterion; medication information acquisition means for acquiring medication information including information on at least the frequency of medication taken by the patient if the measurement value does not satisfy the improvement target criterion; medicinal effect confirmation assistance image generation means for generating a medicinal effect confirmation assistance image capable of providing a list of measurement value transition information indicating changes in the measurement value of the patient for each first predetermined period, and the medication information; alert information generation means for generating alert information if the measurement value does not satisfy the improvement target criterion; and output means for outputting at least the medicinal effect confirmation assistance image.SELECTED DRAWING: Figure 3
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Description

Technical Field

[0001] The present invention belongs to the technical field related to healthcare and relates to a biological information processing system, a biological information processing apparatus, a biological information processing method, and a program.

Background Art

[0002] In recent years, the needs for telemedicine have been increasing. As part of this, biological information such as blood glucose levels and blood pressure values measured by patients at home is transmitted to a database, and medical staff are warned when the values are outside the range of target values set in advance, or while viewing the measurement results, medical staff check the situation via video call and provide guidance, or a monitoring system has been proposed in which a doctor considers changing the medication (see Patent Document 1).

[0003] However, in such a conventional system, no matter what the relationship between the measured values of biological information and the target values is, the more data there is for medical staff to consider, the greater the workload of medical staff, which is a problem.

[0004] In addition, since the deviation between the expected (assumed) change (improvement effect) and the measured value, which varies depending on the treatment policy, is not evaluated, there is a problem that it is unclear whether the currently adopted treatment policy is appropriate and should be continued in the future.

[0005] In addition, in a conventional system as well, the compliance of actions that patients should take for treatment, such as taking medication (hereinafter also referred to as target actions), is monitored, but since the relationship between the compliance and the treatment effect has not been evaluated, when no improvement effect is seen (or it does not go as expected), there is a problem that it is impossible to distinguish whether the treatment policy is inappropriate or the compliance of the target actions is low.

[0006] Furthermore, in monitoring the compliance of the target actions to be performed by the patient, on the patient side, it is necessary to input to the system for each daily life event such as meals, taking medicine, exercise, and measurement of biological information, and the burden on the patient becomes extremely large. For this reason, the patient does not always fully cooperate with the monitoring, and there is a risk that accurate monitoring cannot be performed.

Prior Art Documents

Patent Documents

[0007]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0008] In view of the above problems, an object of the present invention is to provide a technology capable of reducing the workloads of medical staff and patients in a system related to telemedicine.

Means for Solving the Problems

[0009] To solve the above problems, the present invention adopts the following configuration. That is, a measurement value acquisition means for acquiring a measurement value related to the biological information of the patient; a comparison means for comparing the measurement value with a preset improvement target criterion; a medication information acquisition means for acquiring medication information including at least information on the medication frequency of the patient when the measurement value does not achieve the improvement target criterion; a medication effect confirmation support image generation means for generating a medication effect confirmation support image that can list the measurement value transition information indicating the change of the measurement value of the patient every first predetermined period and the medication information; a warning information generation means for generating warning information when the measurement value does not achieve the improvement target criterion; a first output means for outputting the warning information; ​second output means for outputting the drug efficacy confirmation support image; A biological information processing system having the above.

[0010] Here, the "first predetermined period" is not particularly limited and can be set to any period. For example, it may be one week, one month, one day, or in units of several hours. Also, the "improvement target criterion" may be a general so-called normal value, or a value that is determined each time according to the patient's condition, prescription, etc. Further, the "output means" may be a display device such as a liquid crystal display, or a printing device such as a printer. Note that the first output means and the second output means may be the same output means. That is, the generated warning information may be displayed on a display device that outputs the drug efficacy confirmation support image, or may be output in the form of an image or voice via a portable device such as a mobile phone used separately by medical staff. Also, the warning information referred to here is not limited to being output immediately like a so-called alarm. For example, in a system related to patient management such as an electronic medical record that a doctor regularly checks, information (mark display, warning sound, etc.) indicating that it is a warning target at the time of the check is also included.

[0011] With such a configuration, when the measured value of the biological information does not reach the preset improvement target criterion, warning information to that effect is generated, and the warning can be output via any output means. Therefore, when there is a patient whose measured value of the biological information related to the measurement does not reach the target, medical staff can easily know that fact. Also, since the measurement data of the patient can be output as an image (drug efficacy confirmation support image) that includes a list of data indicating the change in the measurement data for each predetermined period and information regarding the patient's medication frequency, medical staff (especially doctors) can quickly determine whether the current treatment policy is appropriate by checking the image. Also, if the patient achieves the improvement target criterion by complying with the target behavior, there is no need to perform any special input to a troublesome system, so the burden on the patient side can be minimized.

[0012] Further, the comparison means compares the average value of the measured values in the first predetermined period with the improvement target criterion, The medication information acquisition means may acquire medication information including information on the medication frequency of the patient in the first predetermined period when the average value does not achieve the improvement target criterion.

[0013] When biological information is measured every day for a predetermined period (for example, one week), variations will naturally occur in the measured values of the biological information within the predetermined period. However, by treating the average value of these measured values as one measurement data in the predetermined period, the comparison with the improvement target criterion can be appropriately performed.

[0014] Further, the biological information is information related to blood pressure, The measurement value acquisition means acquires the systolic blood pressure value and the diastolic blood pressure value as the measurement values for each measurement, The improvement target criterion to be compared by the comparison means is set for each of the systolic blood pressure value and the diastolic blood pressure value, The medication information acquisition means acquires the medication information when either the systolic blood pressure value or the diastolic blood pressure value does not achieve the improvement target provided for each of them, The warning information generation means may generate the warning information when either the systolic blood pressure value or the diastolic blood pressure value does not achieve the improvement target provided for each of them.

[0015] When the biological information to be measured is blood pressure (for example, in the case of a patient with hypertension), it is necessary to control both the systolic blood pressure and the diastolic blood pressure values. Therefore, the above configuration is preferable.

[0016] ​In addition, for each measurement, the measurement value acquisition means further acquires time zone information capable of specifying the time zone in which the blood pressure was measured. The measurement value transition information may indicate changes in the systolic blood pressure value and the diastolic blood pressure value for each of the first predetermined periods for each time zone.

[0017] Here, the time zone information may be, for example, time data indicating the date and time. In the case of blood pressure measurement, it is recommended to measure twice, after getting up (before breakfast) and before going to bed, and the above configuration that can manage measurement data for each time zone is preferable.

[0018] Further, when the measurement value does not meet the improvement target criteria, the biological information processing system further has a patient-side information processing terminal that executes an automatic inquiry process for requesting the patient to input at least information related to the patient's medication frequency. The medication information acquisition means may acquire the medication information input from the patient through the automatic inquiry process executed on the patient-side information processing terminal.

[0019] With such a configuration, for example, as a function of an application of a portable information processing terminal such as a smartphone used by the patient, it becomes possible to obtain conscious information from the patient himself / herself through a Q&A with a so-called chatbot. Note that the means for acquiring medication information may be any means and is not limited to such a mode. For example, a sensor for detecting the taking out of the drug may be provided in the container containing the drug by the patient, and the medication information may be acquired from the information (the amount of the drug taken out, the date and time) acquired by the sensor. Also, the medication information may be acquired from the sales history by linking with the database of the pharmacy where the patient purchases the drug.

[0020] In addition, the medication information includes information regarding the presence and type of side effects that occurred in the patient due to taking the medication, and the automatic interview process may further request input of information regarding the presence and type of side effects that occurred in the patient due to taking the medication. Since the presence of side effects is a cause for the patient not taking the medication according to the prescribed dosage and administration method, by obtaining information related to side effects in addition with the above configuration, it can be used to consider an appropriate treatment policy.

[0021] In addition, the biological information processing system may further include action evaluation information generation means for generating action evaluation information including information related to the evaluation of efforts for the treatment of the patient in the second predetermined period based on the measured value and the medication information in the second predetermined period, and a patient-side information processing terminal to which the action evaluation information is output. Here, the "second predetermined period" may be the same period as the first predetermined period or a different period. According to such a configuration, the patient can obtain feedback according to their efforts for treatment, so it is possible to support maintaining the motivation for continuing treatment.

[0022] In addition, the biological information processing system further includes recommended treatment information generation means for generating recommended treatment information related to the treatment policy recommended for the patient when the measured value does not achieve the improvement target criteria, and the second output means may further output the recommended treatment information. With such a configuration, the doctor can examine the treatment policy without referring to the recommended treatment information and can determine (change) the treatment policy more quickly. However, it is possible to examine the treatment policy and make a quicker decision (change) of the treatment policy.

[0023] In addition, the medication efficacy confirmation support image may include information on the difference value between the measured value and the improvement target criteria. According to this, the control status of the biological information can be more easily understood, and medical staff can make a quicker judgment.

[0024] In addition, the biological information processing system further includes annotation information generation means for generating annotation information regarding matters that medical staff in charge of the patient should pay attention to based on the measured values, and the second output means may further output the annotation information. Further, when there is such annotation information, warning information to that effect may be output.

[0025] For example, regarding the measured value of blood pressure, although the improvement target standard can be achieved, if the patient is in a state of low blood pressure for reasons such as the effect of the drug being too strong, it appears to be under control on the surface and seems to be problem-free. In such a case, by marking annotation information that prompts attention, such as indicating that the patient is in a state of low blood pressure, or alerting that there is such information, medical staff can be aware of the state that requires early attention (or countermeasures). Note that the content of the annotation information is not particularly limited, and for example, it may be information that suggests the possibility of secondary hypertension based on various data.

[0026] In addition, the improvement target standard may be the value of the biological information after change assumed when the patient takes the drug prescribed to the patient according to the usage and dosage for the first predetermined period. According to this, the target value for each predetermined period is determined according to the current situation, which helps to maintain the patient's motivation. Also, compared with using a so-called normal value as the improvement target standard, there is a high possibility that the inability to achieve the standard indicates that the treatment policy (such as the drug adopted) is inappropriate, so it becomes possible to review the treatment policy at an early stage.

[0027] In addition, the present invention includes the measured value acquisition means, the comparison means, the medication information acquisition means, the drug efficacy confirmation support image generation means, and the warning information generation means, and can also be regarded as a biological information processing device that constitutes at least a part of the biological information processing system.

[0028] In addition, the present invention can also be regarded as a program for causing a computer to function as such a biological information processing device, and a computer-readable recording medium on which such a program is non-temporarily recorded.

[0029] In addition, the present invention includes a measurement value acquisition step of acquiring a measurement value related to a patient's biological information, a comparison step of comparing the measurement value with a preset improvement target criterion, a medication information acquisition step of acquiring medication information including at least information on the patient's medication frequency when the measurement value does not achieve the improvement target criterion, a medication effect confirmation support image generation step of generating a medication effect confirmation support image that can list measurement value transition information indicating changes in the measurement value of the patient every first predetermined period and the medication information, a warning information generation step of generating warning information when the measurement value does not achieve the improvement target criterion, a first output step of outputting the warning information, a second output step of outputting the medication effect confirmation support image, and can also be regarded as a biological information processing method having the above.

[0030] Note that each of the above configurations and processes can be combined with each other to constitute the present invention as long as no technical contradiction occurs.

Effects of the Invention

[0031] According to the present invention, in a system related to telemedicine, it is possible to quickly determine whether the current treatment method is appropriate, and it is possible to provide a technology that can reduce the workload of medical staff and patients.

Brief Description of the Drawings

[0032]

Figure 1

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MODE FOR CARRYING OUT THE INVENTION

[0033] <Example 1> Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. However, the dimensions, shapes, relative arrangements, etc. of the components described in this embodiment are not intended to limit the scope of the present invention only to these, unless otherwise specified.

[0034] FIG. 1 shows the biological information according to this embodiment processingIt is a schematic diagram showing the configuration of system 1. As shown in FIG. 1, the biological information processing system 1 includes a server device 100, a doctor-side terminal 200 used by a doctor, a patient-side terminal 300 used by a patient P, and a sphygmomanometer 400. Each of these components can communicate with each other via a communication network N.

[0035] The biological information according to this embodiment processing System 1 is a system related to telemedicine. It is for assisting a doctor in treating a patient by transmitting the blood pressure value measured by the patient at home to the server device 100 via the network N, processing the information, and providing it to medical staff.

[0036] FIG. 2 is a flowchart schematically showing the flow of telemedicine performed in this embodiment. Hereinafter, the telemedicine performed in this embodiment will be specifically described with reference to FIG. 2. That is, a patient who has received a confirmed diagnosis of hypertension starts drug treatment according to the doctor's prescription and continuously measures their blood pressure at home by themselves. Biological information processing System 1 collects the measured values, and after a predetermined period has elapsed (here, 1 to 2 weeks later), it is determined whether a preset target value has been achieved (hereinafter, it is also expressed as the measured value "being controlled" when the measured value has achieved the target value). Here, that the measured value has achieved the target value means, for example, that the blood pressure value is less than a predetermined threshold. And when the measured value is controlled If it is in such a situation, the same drug is continued to be taken as it is, and after another predetermined period (here, 1 month) has elapsed, it is determined whether the measured blood pressure value is in a controlled situation.

[0037] On the other hand, when the target value has not been achieved, it is confirmed whether the patient is taking the medicine as prescribed by the prescription. Also, the doctor checks the change of the measured value at each predetermined period, and it is used for determining the treatment policy together with the information on the taking situation.

[0038] When the doctor determines from the change situation of the measured values that a certain effect has been achieved in the medication, the doctor decides to continue administering the same medicine (for observation). In that case, after a new prescribed period (here, 1 to 2 weeks) has passed, it is determined whether the measured blood pressure value is in a controlled situation.

[0039] Also, when no effect of the medication is observed, the doctor considers the possibility of other diseases and decides to conduct additional examinations and implement treatments (including prescriptions) that take other diseases into account. In that case, after a new prescribed period (here, 1 to 2 weeks) has passed, it is determined whether the measured blood pressure value is in a controlled situation.

[0040] Also, when the situation is expected to improve by changing the medication to be taken, such as stopping the medication due to side effects rather than other diseases, the prescription content is changed. In that case, after a new prescribed period (here, 1 to 2 weeks) has passed, it is determined whether the measured blood pressure value is in a controlled situation.

[0041] By repeating the above - mentioned process, the telemedicine for hypertensive patients is implemented. The biological information processing system 1 according to this embodiment supports performing such a process and reduces the burdens on both the doctor (medical staff) and the patient. Hereinafter, each component of the system will be described in detail.

[0042] (Server device) FIG. 3 is a block diagram showing the functional configuration of the server device 100. The server device 100 is composed of a general - purpose server computer and, as shown in FIG. 3, includes a control unit 110, a communication means 120, and a storage means 130.

[0043] The control unit 110 is a means for controlling the server device 100, and is constituted by a processor such as a CPU (Central Processing Unit) or a DSP (Digital Signal Processor), for example. Further, the control unit 110 includes, as functional modules related to biological information management, a measured value acquisition unit 111, a measured value comparison unit 112, a medication information acquisition unit 113, a medication efficacy confirmation support image generation unit 114, a warning information generation unit 115, an automatic consultation trigger signal generation unit 116, a behavior evaluation information generation unit 117, a recommended treatment information generation unit 118, and an annotation information generation unit 119. Each of these functional units will be described in detail later.

[0044] The communication means 120 is communication means for connecting the server device 100 to the communication network N, and is constituted by including, for example, a communication interface board or a wireless communication circuit for wireless communication.

[0045] Although not shown, the storage means 130 includes a main storage unit such as a ROM (Read only memory) and a RAM (Random access memory), and an auxiliary storage unit such as an EPROM, an HDD (Hard Disk Drive), an SSD (Solid State Device), and a removable medium. The auxiliary storage unit stores an operating system (OS), various programs, etc. Then, by loading the stored program into the working area of the main storage unit and executing it, and controlling each component etc. through the execution of the program, each functional unit for achieving a predetermined purpose can be realized. The measured value acquisition unit 111 acquires the measured value measured by the patient P with the blood pressure monitor 400 via the communication network N and stores it in the storage means 130. The measured value comparison unit 112 compares the acquired measured value (specifically, the average value of the measured values for each predetermined period such as one week) with the target value preset for each individual patient P. Thereby, it is determined whether or not the blood pressure value of the patient P is controlled. The target value may be stored in advance in the storage means 130, for example.

[0046] ​

[0047] When the blood pressure value of patient P is not controlled (i.e., the target is not achieved), the automatic interview trigger signal generation unit 116 generates a signal for executing an automatic interview on the patient-side terminal 300, as described later. The generated signal is transmitted from the communication means 120 and received by the patient-side terminal 300. Also, the medication information acquisition unit 113 acquires medication information including information on the medication frequency of patient P through the automatic interview executed on the patient-side terminal 300.

[0048] When the blood pressure value of patient P is not controlled, furthermore, the warning information generation unit 115 generates warning information for output to the doctor-side terminal 200, as described later. The generated warning information is transmitted from the communication means 120 and received by the doctor-side terminal 200.

[0049] The annotation information generation unit 119 generates annotation information regarding matters that the doctor in charge of patient P should pay attention to based on the acquired measurement values. Specifically, for example, when the blood pressure seemingly appears to be controllable at first glance but in fact the medicine is too effective and the patient is in a state of low blood pressure, annotation information to that effect is generated.

[0050] The medication efficacy confirmation support image generation unit 114 generates a medication efficacy confirmation support image that can list the measurement value transition information showing the changes of the acquired measurement values at predetermined intervals and the medication information. Also, the annotation information may be displayed together on the medication efficacy confirmation support image. The generated medication efficacy confirmation support image is transmitted to the doctor-side terminal 200 via the communication network N.

[0051] The action evaluation information generation unit 117 generates action evaluation information including information related to the evaluation of the target actions of the patient P within the predetermined period based on the measured values and medication information in the predetermined period. Here, the information related to the evaluation of the target actions may be, for example, a graph of the transition of the measured values. Also, it can be a message according to the control status of the measured values (for example, if the target has been achieved, words praising the fact and effort and encouraging continued effort). The generated action evaluation information is transmitted from the communication means 120 at an appropriate timing and received by the patient-side terminal 300.

[0052] The recommended treatment information generation unit 118 generates information for suggesting to medical staff a treatment policy (prescription) recommended for improving the patient P's medical condition, if any, based on the measured values, medication information (and further other information). The generated information may be included in the drug efficacy confirmation support image, or may be separately outputtable by the doctor-side terminal 200.

[0053] (Doctor-side terminal) FIG. 4 is a block diagram showing the functional configuration of the doctor-side terminal 200. The doctor-side terminal 200 is a general computer, such as a fixed-installed personal computer, a portable notebook personal computer, or a tablet terminal, and includes a control unit 210, an input means 220, an output means 230, a storage means 240, and a communication means 250.

[0054] The control unit 210 is a means for controlling the doctor-side terminal 200 and is configured by, for example, a CPU or the like. The input means 220 is a means for receiving external information input, such as a keyboard, a mouse, a touch panel, a camera, a microphone, etc. The output means 230 is configured to include a liquid crystal display, a speaker, etc. The storage means 240 is configured to include a main storage unit, an auxiliary storage unit, etc., similar to the server device, and stores an operating system (OS), various programs, and other various data acquired via the communication network N. The communication means 250 is configured to include, for example, a communication interface board and a wireless communication circuit for wireless communication.

[0055] Although not shown, the doctor-side terminal may be accessible to the electronic medical record management system. In such a case, the electronic medical record data of the patient stored in the electronic medical record management system may be read out and transmitted to the server device, or the warning information transmitted from the server device 100 may be associated with the electronic medical record data. In such a case, it is also possible to enable the doctor to confirm the warning information via the electronic medical record management system.

[0056] At the doctor-side terminal 200, warning information and drug efficacy confirmation support images are acquired from the server device 100 via the communication network N, and these information are output to the output means 230. FIGS. 5 to 7 show an example of the screen displayed on the output means 230 of the doctor-side terminal 200. FIG. 5 is a screen showing a patient list in charge of a doctor who is the administrator of the terminal, and for patients whose measured values have not reached the target, warning information Ar (mark of a bell and numerical notation) to that effect is also displayed.

[0057] Figure 6 is a management screen including the drug efficacy confirmation support image of individual patient P, and it is a screen including the measurement value change information Tr and the medication information Me. Also, Figure 7 is a screen that partially closes up the measurement value change information Tr in the drug efficacy confirmation support image of Figure 6. In this embodiment, the annotation information An is also displayed together in the part of the measurement value change information Tr. The annotation information An in Figure 7 is information suggesting the risk of low blood pressure.

[0058] As shown in Figures 6 and 7, in the measurement value change information Tr in this embodiment, taking one week as a predetermined period (a single period), the average values of systolic blood pressure (SYS), diastolic blood pressure (DIA), and heart rate in one week (7 days avg home BP & Pulse) are displayed respectively. More specifically, the one-week average values of SYS and DIA are displayed for each time zone of morning (after getting up) and night (before going to bed). Also, these values are not only described numerically, but also described as a graph in which the space between SYS and DIA is filled in a bar shape and the relationship with the threshold line indicating the target value is visually shown. Note that the lines extending up and down from the bar-shaped part of the graph indicate the variation of the measurement values in the one-week measurement. The line extending upward indicates the highest blood pressure value of that week, and the line extending downward indicates the lowest blood pressure value. Also, the weeks in which the bar-shaped part is described with hatching suggest that the measurement data is insufficient and thus not reliable information.

[0059] Also, in the measurement value change information Tr, the amount of change (Change from the previous week) compared with the values of the previous week, and the value indicating the deviation from the target value (in this example, SYS is 130 mmHg and DIA is 80 mmHg) (Difference from the target) are respectively shown.

[0060] Also, in the medication information Me of this embodiment, information such as the types of drugs that patient P took that week, the frequency of medication (in this example, displayed as Adherence, the rate of taking), the symptoms and frequencies of reported side effects, etc. are described. Also, the prescription such as the brand, dosage form, and dosage of the drug Information indicating content (Prescription) can also be referred to.

[0061] By referring to a screen where such measurement value transition information Tr and medication information Me can be listed, the doctor can easily and promptly determine what treatment policy should be adopted for the patient P.

[0062] (Patient-side terminal) FIG. 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, a tablet terminal, a wristwatch-type wearable terminal, etc., and includes a control unit 310, an input means 320, an output means 330, a storage means 340, and a communication means 350.

[0063] The control unit 310 is a means for controlling the patient-side terminal 300 and is constituted by, for example, a CPU or the like. Also, the input means 320 can adopt a touch panel display integrated with the output means 330. The storage means 340 is configured to include a main storage unit, an auxiliary storage unit, etc., similar to other terminals, and stores an operating system (OS), various programs, and other various data acquired via the communication network N. Further, the communication means 250 is configured to include, for example, a wireless communication circuit for wireless communication.

[0064] The control unit 310 includes an automatic consultation execution unit 311 as a functional module related to biological information management. When the automatic consultation execution unit 311 receives an automatic consultation trigger signal transmitted from the server device 100, it executes an application for automatically consulting about the frequency of taking medicine and the presence or absence and type of side effects. The automatic consultation application can adopt a form such as a chatbot, and it may be stored in advance in the storage means 340 of the patient-side terminal 300, or may be provided by the server device 100 in the form of an ASP (Application Service Provider). Fig. 9 shows an example of the screen when the automatic consultation program is executed. Fig. 9A shows the consultation screen regarding taking medicine, and Fig. 9B shows the consultation screen regarding side effects respectively.

[0065] Note that the answer given by the patient P to the automatic consultation as described above is transmitted from the communication means 350 to the server device 100 via the network N. In addition to the measurement data obtained from the sphygmomanometer 400 described later, the information necessary for the patient P to input is transmitted to the server device 100.

[0066] Also, in the patient-side terminal 300, according to the result of the efforts for the treatment of the patient P, the to behavior evaluation information including information related to the evaluation of the efforts is received from the server device 100, and the content is output to the output means 330.

[0067] (Sphygmomanometer) The sphygmomanometer 400 is used by the patient P for daily blood pressure measurement, and it can be in any form. For example, it may be a general stationary type, a portable type with a portable cuff wrapped around the upper arm or the like, or a wearable type worn on the patient's wrist. By the operation of the patient P (or, in the case of the wearable type, at a preset timing or time interval), the blood pressure is measured by the oscillometric method, and the blood pressure data is wirelessly transmitted to the patient-side terminal 300, for example, by wireless communication. As the communication interface used between the sphygmomanometer 400 and the patient-side terminal 300, a short-range wireless data communication standard such as Bluetooth (registered trademark) or infrared communication can be adopted.

[0068] Note that the sphygmomanometer 400 may not have a communication means. In this case, the patient P may manually input the measurement data (including the blood pressure value and the measurement date and time) into the patient-side terminal 300, and the information may be sent to the server device 100. Note that the measurement data may include the heart rate.

[0069] In addition, the patient-side terminal 300 may also have the function of the sphygmomanometer 400. For example, in the case where the patient-side terminal 300 is a wearable terminal worn on the patient P's wrist, if a blood pressure measurement function is provided in this wearable terminal, it can also serve as the sphygmomanometer 400. Conversely, for example, a stationary sphygmomanometer 400 may be provided with the function of an information processing terminal and also serve as the patient-side terminal 300.

[0070] Note that the measurement method of the sphygmomanometer 400 may be a method of measuring every beat of the heart, or a trigger measurement method of estimating blood pressure fluctuations based on the pulse wave propagation time and measuring the blood pressure spotaneously using the fluctuations as a trigger.

[0071] (Flow of information processing in the system) Next, the flow of information processing performed in the biological information processing system 1 according to this embodiment having the above configuration will be described. FIG. 10 shows the biological information processingThis is a diagram showing the flow of information transfer and processing within system 1. As shown in Figure 10, first, patient P measures their own blood pressure using sphygmomanometer 400 (S101). The measurement data is sent to server device 100 via patient-side terminal 300 each time or in batches for a predetermined period (e.g., one week) (S102).

[0072] In server device 100, the received measurement data is stored in storage means 130, and based on this information, it is confirmed whether the blood pressure of patient P is controlled by comparing it with a predetermined target value (S103). Here, different target values are set for systolic blood pressure and diastolic blood pressure, and it is determined whether the average values of systolic blood pressure and diastolic blood pressure for each predetermined period reach the corresponding target values. And the blood pressure is If it is not controlled (i.e., either systolic blood pressure or diastolic blood pressure exceeds the target value), a trigger signal to start an automatic inquiry asking about medication frequency, etc., is sent to patient-side terminal 300 (S104).

[0073] Upon receiving the trigger signal for the automatic inquiry believe In patient-side terminal 300, an automatic inquiry program is executed, and medication information including the medication frequency is input by patient P (S105). Then, the medication information is sent to server device 100 (S106). In server device 100, while generating a medication efficacy confirmation support image including information related to the change in blood pressure value and information related to the medication frequency of patient P (S107), warning information indicating that the blood pressure of patient P is not controlled is sent to doctor-side terminal 200. In doctor-side terminal 200, when the warning information is received, the warning information is output (S109). Specifically, a mark as shown in Figure 5 above may be displayed on the display screen as output means 230, or another alert screen may be displayed, or audio output may be performed. Note that the warning information may be output on another device such as a mobile phone used by the doctor separately from doctor-side terminal 200.

[0074] In doctor-side terminal 200, when the warning information is received, the warning information is output (S109). Specifically, a mark as shown in Figure 5 above may be displayed on the display screen as output means 230, or another alert screen may be displayed, or audio output may be performed. Note that the warning information may be output on another device such as a mobile phone used by the doctor separately from doctor-side terminal 200.

[0075] In order to refer to the drug efficacy confirmation support image of patient P warned by the doctor, the doctor-side terminal 200 transmits request information for displaying the drug efficacy confirmation support image to the server device 100 (S110). Then, the server device 100 that has received the request provides the drug efficacy confirmation support image to the doctor-side terminal 200 (S111), and the drug efficacy confirmation support image is displayed on the output means 230 of the doctor-side terminal 200 (S112). Here, the drug efficacy confirmation support image may be such that the data is transmitted to the doctor-side terminal 200 and stored in the storage means 240 of the doctor-side terminal 200, or it may be provided in the form of an ASP and the storage of image data may be disabled. Note that the content of the drug efficacy confirmation support image is as described above. The content of the support image is as described above.

[0076] As described above, according to the biological information system 1 according to this embodiment, when there is a patient with poor blood pressure control, the doctor can quickly recognize the fact by receiving the warning information and can efficiently determine (change) the treatment policy for the patient by using the provided drug efficacy confirmation support image. Specifically, since the data of the blood pressure value over time is displayed at regular intervals and the information regarding the patient's medication within that regular interval can also be viewed at a glance, even for those with poor control, it becomes possible to easily determine whether the treatment is starting to take effect, whether the prescription should be changed, or whether other diseases should be suspected, etc. processing Also, for the patient, other than blood pressure measurement, there is no cumbersome input work other than responding to the automatic consultation when the blood pressure is not under control, so the complexity of using the system can be minimized. Furthermore, since the action evaluation information is appropriately distributed for target actions such as taking medication, it is possible to support maintaining the motivation for continuing treatment.

[0077] <Modification Example>

[0078] <Modification Example> The description of the above embodiments is merely illustrative of the present invention, and the present invention is not limited to the above specific forms. The present invention can be variously modified and combined within the scope of its technical idea. For example, in the above embodiments, the doctor-side terminal 200 and the patient-side terminal 300 are each described with a single configuration. However, as shown in FIG. 11, the present invention can naturally also be applied as a biological information processing system 2 including a plurality of doctor-side terminals 200a to 200n and / or a plurality of patient-side terminals 300a to 300n.

[0079] Also, the means for acquiring medication information is not limited to the automatic interrogation program by the chatbot. For example, a sensor for detecting the removal of the drug may be provided in the container for the drug taken by the patient P, and the medication information may be obtained based on the information related to the removal of the drug detected by the sensor (such as the frequency of taking the drug and the amount of the drug taken). Also, by cooperating with the system of the pharmacy used by the patient P, the medication information may be obtained from the information on the sold drug, the information on the time of sale, and the like.

[0080] Also, in the above embodiments, as an example of the remote treatment of hypertensive patients, the case where the biological information to be processed is the blood pressure value (and the heart rate) is described. However, it is natural that the present invention can be applied to other diseases and biological information, such as the blood glucose value of diabetic patients.

Description of Reference Numerals

[0081] 1, 2 ··· Biological information processing System 100 ··· Server device 110, 210, 310 ··· Control unit 120, 240, 340 ··· Storage means 130, 250, 350 ··· Communication means 200 ··· Doctor-side terminal 220, 320 ··· Input means 230, 330 ··· Output means 300 ··· Patient-side terminal 400 ··· Sphygmomanometer P ··· Patient N···Communication network Ar···Warning information Tr···Measured value transition information Me···Medication information An···Annotation information

Claims

1. Measurement value acquisition means for acquiring a measurement value related to the biological information of a patient; Comparison means for comparing the measurement value with a preset improvement target criterion; Medication information acquisition means for acquiring medication information including at least information on the medication frequency of the patient when the measurement value does not meet the improvement target criterion; Medication effect confirmation support image generation means for generating a medication effect confirmation support image that can list the measurement value transition information indicating the change of the measurement value of the patient every first predetermined period and the medication information; Warning information generation means for generating warning information to that effect when the measurement value does not meet the improvement target criterion; First output means for outputting the warning information; Second output means for outputting the medication effect confirmation support image; A biological information processing system having the above.

2. The comparison means compares the average value of the measurement value in the first predetermined period with the improvement target criterion, The medication information acquisition means acquires medication information including information on the medication frequency of the patient in the first predetermined period when the average value does not meet the improvement target criterion. The biological information processing system according to claim 1, characterized in that.

3. The biological information is information related to blood pressure, The measurement value acquisition means acquires a systolic blood pressure value and a diastolic blood pressure value as the measurement value for each measurement, The improvement target criterion to be compared by the comparison means is set for each of the systolic blood pressure value and the diastolic blood pressure value, The medication information acquisition means acquires the medication information when either the systolic blood pressure value or the diastolic blood pressure value does not meet the improvement target criterion provided for each of them, The warning information generation means generates the warning information when either the systolic blood pressure value or the diastolic blood pressure value does not meet the improvement target criterion provided for each of them. The biological information processing system according to claim 1 or 2, characterized in that.

4. The measurement value acquisition means further acquires time zone information capable of specifying the time zone when the blood pressure was measured for each measurement, The measurement value transition information shows the change of the systolic blood pressure value and the diastolic blood pressure value every first predetermined period by time zone. The biological information processing system according to claim 3, characterized in that.

5. When the measured value does not meet the improvement target criteria, the patient-side information processing terminal further executes an automatic inquiry process for requesting the patient to input at least information related to the patient's medication frequency. The medication information acquisition means acquires the medication information input from the patient through the automatic inquiry process executed in the patient-side information processing terminal. The biological information processing system according to any one of claims 1 to 4, characterized in that.

6. The medication information includes information on the presence and type of side effects caused to the patient by the medication. The automatic inquiry process further requests input of information on the presence and type of side effects caused to the patient by the medication. The biological information processing system according to claim 5, characterized in that.

7. The biological information processing system further includes action evaluation information generation means for generating action evaluation information including information related to the evaluation of the treatment efforts for the patient in the second predetermined period based on the measured value and the medication information in the second predetermined period. The patient-side information processing terminal outputs the action evaluation information. The biological information processing system according to claim 5 or 6, characterized in that.

8. Action evaluation information generation means for generating action evaluation information including information related to the evaluation of the treatment efforts for the patient in the second predetermined period based on the measured value and the medication information in the second predetermined period. The biological information processing system further includes a patient-side information processing terminal to which the action evaluation information is output. The biological information processing system according to any one of claims 1 to 4, characterized in that.

9. When the measured value does not meet the improvement target criteria, the biological information processing system further includes recommended treatment information generation means for generating recommended treatment information related to the treatment policy recommended for the patient. The second output means further outputs the recommended treatment information. The biological information processing system according to any one of claims 1 to 8, characterized in that.

10. The medication efficacy confirmation support image includes information on the difference value between the measured value and the improvement target criteria. The biological information processing system according to any one of claims 1 to 9, characterized in that.

11. The biological information processing system further includes annotation information generation means for generating annotation information related to matters that medical staff in charge of the patient should pay attention to based on the measured value. The second output means further outputs the annotation information. The biological information processing system according to any one of claims 1 to 10, characterized in that...

12. The improvement target criterion is a value of the biological information after change assumed when the patient takes the drug prescribed for the patient according to the usage and dosage for the first predetermined period. The biological information processing system according to any one of claims 1 to 11, characterized in that...

13. It has the measurement value acquisition means, the comparison means, the medication information acquisition means, the medication efficacy confirmation support image generation means, and the warning information generation means, and constitutes at least a part of the biological information processing system according to any one of claims 1 to 12. A biological information processing device.

14. A biological information processing method executed by a computer, comprising: A measurement value acquisition step of acquiring a measurement value related to the biological information of a patient; A comparison step of comparing the measurement value with a preset improvement target criterion; A medication information acquisition step of acquiring medication information including at least information on the medication frequency of the patient when the measurement value does not achieve the improvement target criterion; A medication efficacy confirmation support image generation step of generating a medication efficacy confirmation support image capable of listing measurement value transition information indicating changes in the measurement value of the patient every first predetermined period and the medication information; A warning information generation step of generating warning information to that effect when the measurement value does not achieve the improvement target criterion; A first output step of outputting the warning information A second output step of outputting the medication efficacy confirmation support image; A biological information processing method having the above.

15. A program for causing a computer to function as the biological information processing device of claim 13.

Citation Information

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