Condition management support device, condition management support method, and condition management support program

Abstract

To provide a condition management support device, a condition management support method, and a condition management support program that can present information with which a doctor and a patient can easily grasp a change in the patient's condition of a disease and a deterioration in the condition of the disease.SOLUTION: A condition management support device has an inquiry information acquisition unit 201, an input ratio calculation unit 202, and a data output unit 203. The inquiry information acquisition unit 201 acquires inquiry information including information related to biological information of a subject and / or the subject's subjective symptom, which are input by the subject. The input ratio calculation unit 202 calculates, as an input ratio, the number of times the subject actually inputs the inquiry information to the number of times the subject is required to input the inquiry information in a predetermined period. The data output unit 203 outputs the inquiry information and the input ratio.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to a condition management support device, a condition management support method, and a condition management support program. [Background technology]

[0002] In recent years, the number of patients with heart failure has been increasing rapidly due to the aging society. Heart failure is known to be a disease in which the incidence rate increases with age. In addition, the re-hospitalization rate for heart failure is said to be approximately 30% after one year, and the prognosis for patients generally tends to worsen with each re-hospitalization. This not only poses a problem of an increasing number of patients, but also a medical economic issue.

[0003] One of the reasons for repeated readmissions is that patients do not adequately take care of themselves. If patients continue to not take adequate care of themselves, their condition may change or worsen. However, currently, there are insufficient methods and systems in place to make medical professionals and patients themselves aware of changes in their condition or worsening of their condition. As a result, medical professionals and patients may be slow to notice changes in their condition or worsening of their condition, which can lead to further deterioration and re-admission of the patient.

[0004] In response to this, heart failure diaries have traditionally been used. The main purpose of heart failure diaries is to raise patients' awareness of their illness by allowing them to record their physical condition, such as their physical condition, vital signs, and subjective symptoms, and to share the records with their doctors. Vital signs can include, for example, weight, blood pressure, pulse rate, and number of steps. By having patients record their condition in a heart failure diaries, patients are expected to raise their awareness of their illness and promote self-care.

[0005] In this regard, a technique for supporting health management and health checkups at home has been disclosed (for example, Patent Document 1 below). [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Laid-Open No. 2005-224354 Summary of the Invention [Problem to be solved by the invention]

[0007] However, while a doctor can use the heart failure notebook to determine whether a patient is performing self-care, it is not necessarily easy for the doctor or the patient to understand the relationship between changes in vital signs and changes in subjective symptoms. Therefore, there is a problem in that it is not easy for a doctor to grasp changes in a patient's condition or a worsening of their condition early using the heart failure notebook. Furthermore, while the technology in Patent Document 1 allows patients to receive advice on health and prevention of lifestyle-related diseases, it does not inform the doctor or the patient of changes in the condition or a worsening of the patient's condition for diseases that have already developed.

[0008] The present invention has been made in consideration of the above circumstances, and a main object of the present invention is to provide a condition management support device, a condition management support method, and a condition management support program that can present information that allows doctors and patients to easily understand changes in a patient's condition or deterioration. [Means for solving the problem]

[0009] The above-mentioned problems of the present invention are solved by the following means.

[0010] The condition management support device has a medical interview information acquisition unit, an input rate calculation unit, and a data output unit. The medical interview information acquisition unit acquires medical interview information input by the patient, including biological information and / or information on the patient's subjective symptoms. The input rate calculation unit calculates an input rate as the ratio of the number of times the patient actually inputs medical interview information to the number of times the patient should input the medical interview information within a predetermined period. The data output unit outputs the medical interview information and the input rate.

[0011] The condition management support method also includes a step (a) of acquiring medical interview information input by the patient, the medical interview information including the patient's biometric information and / or information regarding the patient's symptoms; a step (b) of calculating an input rate, which is the ratio of the number of times the patient actually inputs medical interview information to the number of times the patient should input medical interview information in a specified period; and a step (c) of outputting the medical interview information and the input rate.

[0012] The condition management support program is a program for causing a computer to execute processing including the following steps (a), (b), and (c): In step (a), the computer acquires medical interview information input by the patient, the medical interview information including biological information and / or information about subjective symptoms of the patient; In step (b), the computer calculates an input rate, which is the ratio of the number of times the patient actually inputs the medical interview information to the number of times the patient should input the medical interview information within a predetermined period; and in step (c), the computer outputs the medical interview information and the input rate. [Effects of the Invention]

[0013] According to the present invention, information on vital signs (biological information) and subjective symptoms is output, allowing doctors and patients (subjects) to easily and quickly grasp changes in the patient's condition or worsening of the patient's condition. In addition, interview information including information on the patient's vital signs (biological information) and subjective symptoms, and the input rate of the interview information, are output, allowing doctors to determine whether the patient is taking sufficient self-care for the illness. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a block diagram illustrating a schematic configuration of a condition management support system according to an embodiment of the present invention. [Figure 2] 2 is a block diagram illustrating a schematic hardware configuration of a server shown in FIG. 1. FIG. [Figure 3] 2 is a block diagram illustrating a schematic functional configuration of a server shown in FIG. 1. FIG. [Figure 4]FIG. 1 is a diagram illustrating an example of a disease that is a target of condition management in one embodiment. [Figure 5] 2 is a schematic diagram illustrating a method of using the condition management support system shown in FIG. 1. [Figure 6] 2 is a flowchart illustrating an example of an outline of a processing procedure of a condition management support method by the condition management support system shown in FIG. 1. [Figure 7] 2 is a schematic diagram illustrating a method for inputting medical interview information in the condition management support system shown in FIG. 1. FIG. [Figure 8] 2 is a schematic diagram illustrating a time series display of interview information and input rates in the condition management support system shown in FIG. 1. FIG. [Figure 9] 2 is a schematic diagram illustrating a case where signs of a worsening condition of a patient are displayed on the display of the medical staff terminal shown in FIG. 1. FIG. [Figure 10] 2 is a schematic diagram illustrating a case where signs of a worsening condition of a patient are displayed on the display of the patient terminal shown in FIG. 1. FIG. DETAILED DESCRIPTION OF THE INVENTION

[0015] Hereinafter, a condition management support device, a condition management support method, and a condition management support program according to embodiments of the present invention will be described in detail with reference to the drawings. In the drawings, the same reference numerals are used for the same components. The dimensional proportions in the drawings are exaggerated for the sake of explanation and may differ from the actual proportions.

[0016] (Embodiment) <Configuration of condition management support system> 1 is a block diagram illustrating a schematic configuration of a condition management support system according to one embodiment. The condition management support system includes a server 110, a medical staff terminal 120, a patient terminal 130, and the like, which are communicatively connected via a network 140.

[0017] <Hardware configuration of server 110> Fig. 2 is a block diagram illustrating a schematic hardware configuration of the server 110 shown in Fig. 1. The server 110 includes a CPU (Central Processing Unit) 111, a ROM (Read Only Memory) 112, a RAM (Random Access Memory) 113, an auxiliary storage device 114, an input device 115, an output device 116, and a communication I / F 117. The server 110 may be, for example, a cloud server.

[0018] A computer is made up of the CPU 111, ROM 112, RAM 113, auxiliary storage device 114, input device 115, output device 116, and communication I / F 117. The CPU 111 loads a condition management support program, which is stored in advance in the ROM 112 or auxiliary storage device 114, into the RAM 113 and executes it, thereby realizing various functions.

[0019] The ROM 112 is a non-volatile memory. Various parameters and the like required for the calculation processing of the CPU 111 are stored in the ROM 112. The RAM 113 is a volatile memory, and temporarily stores the determination results and various data by the CPU 111. In this embodiment, the input rate of the medical interview information is calculated and stored in the RAM 113. The determination results of the accuracy of the input of the medical interview information by the patient (subject) and the determination results of the worsening of the condition are also stored in the RAM 113.

[0020] The auxiliary storage device 114 has, for example, an SSD (Solid State Drive) or an HDD (Hard Disk Drive). The auxiliary storage device 114 stores an OS (Operating System), programs such as a condition management support program, and results of calculations performed by the CPU 111. In this embodiment, acquired medical interview information is stored in the auxiliary storage device 114. In addition, the content (type) of the medical interview and the like are stored in advance.

[0021] The input device 115 has input devices such as a keyboard and a mouse, and receives various inputs from users (medical staff such as doctors and nurses).

[0022] The output device 116 has a display such as a liquid crystal display, and displays various information and data.

[0023] The communication I / F 117 is an interface for communicating with the medical staff terminal 120 and the patient terminal 130 via the network 140, and uses standards such as Ethernet (registered trademark), token ring, and FDDI.

[0024] <Server 110 Functions> Fig. 3 is a block diagram illustrating a schematic functional configuration of the server shown in Fig. 1. The server 110 functions as a medical interview information acquisition unit 201, an input rate calculation unit 202, a data output unit 203, an accuracy determination unit 204, and a condition determination unit 205. The server 110 functions as a condition management support device.

[0025] The medical interview information acquisition unit 201 acquires medical interview information input by a patient. The medical interview information includes biological information and / or information related to the patient's subjective symptoms. In this specification, the patient's biological information may include, for example, blood pressure, body temperature, SPO2, weight, blood glucose level, heart rate, pulse rate, respiratory rate, electrocardiogram, sleep time, number of urinations, activity level, number of steps, etc. Hereinafter, the patient's biological information will also be referred to as vital signs. The types of vital signs vary depending on the target disease (see FIG. 4). For heart failure, the types of vital signs may include, for example, body weight, blood pressure, SPO2, pulse rate, number of steps, etc. For diabetes, the types of vital signs may include, for example, body weight, blood pressure, pulse rate, body temperature, blood glucose level, etc. For hypertension, the types of vital signs may include, for example, blood pressure, pulse rate, body temperature, etc. For malignant tumors (cancer), the types of vital signs may include, for example, body weight, blood pressure, pulse rate, body temperature, etc.

[0026] Furthermore, information about subjective symptoms varies depending on the target disease (see Figure 4). For heart failure, information about subjective symptoms may include, for example, loss of appetite, fatigue, sleep, shortness of breath, swelling, etc. For diabetes, information about subjective symptoms may include, for example, loss of appetite, fatigue, urinary frequency, thirst, hunger, blurred vision, numbness and pain in the hands and feet, muscle cramps, dryness, fever, diarrhea, vomiting, dizziness, etc. For hypertension, information about subjective symptoms may include, for example, headache, palpitations, shortness of breath, swelling, stiff shoulders, dizziness, tinnitus, nausea, etc. For cancer, information about subjective symptoms may include, for example, loss of appetite, sleep, mental state (pain, depression), pain, etc. Because information about subjective symptoms overlaps with information about a doctor's medical interview, hereinafter, information about subjective symptoms will also be referred to as the medical interview.

[0027] The input rate calculation unit 202 calculates the input rate of medical interview information. The input rate may be the ratio of the number of times the patient actually inputs medical interview information to the number of times the patient should input medical interview information within a predetermined period. The predetermined period may be, for example, one week. Because the medical interview information includes information on vital signs and subjective symptoms, the input rate of medical interview information is broadly divided into the input rate of vital signs and the input rate of subjective symptoms. Specific examples of the calculation of these input rates will be described later. Hereinafter, when simply referred to as "input rate," it may mean the input rate of at least one of the input rate of vital signs and the input rate of subjective symptoms.

[0028] The data output unit 203 controls the medical professional terminal 120 and / or the patient terminal 130 to output the medical interview information and the input rate in chronological order. Because the medical interview information and the input rate are output in chronological order, medical professionals and patients can easily understand the relationship between the changes in vital signs and the changes in subjective symptoms. Furthermore, the data output unit 203 can display the input rate of the medical interview information on the display of the medical professional terminal 120 in the form of a numerical value, a graph, a pattern, or a table. Because the input rate of the medical interview information is output using a numerical value, a graph, a pattern, or a table, medical professionals and patients can more easily understand the relationship between the changes in vital signs and the changes in subjective symptoms. In particular, by displaying the input rate using a graph, a pattern, or a table, medical professionals and patients can easily visually understand the relationship between the changes in vital signs and the changes in subjective symptoms.

[0029] Furthermore, the data output unit 203 can, for example, display on the display of the medical staff terminal 120, a message indicating that there are signs of a worsening condition of the patient. Whether or not there are signs of a worsening condition of the patient is determined by the condition determination unit 205. The data output unit 203 can also output the medical interview information, the input rate, and a message indicating that there are signs of a worsening condition of the patient to a printer or the like (not shown) connected to the server 110. The CPU 111, the ROM 112, the RAM 113, and the auxiliary storage device 114 constitute the data output unit 203.

[0030] The accuracy determination unit 204 determines the input accuracy of the medical interview information based on the input rate of the patient's medical interview information. The accuracy determination unit 204 determines that the higher the input rate calculated by the input rate calculation unit 202, the higher the input accuracy, and that the lower the input rate, the lower the input accuracy. For example, multiple thresholds may be set for the calculated input rate, and the level of input accuracy may be determined based on the comparison result between the magnitude of the input rate and the threshold. For example, the accuracy determination unit 204 may determine that the input rate is high when the input rate of the medical interview information is 75% or higher, and that the input rate is somewhat high when it is 50% or higher but less than 75%. Furthermore, the accuracy determination unit 204 may determine that the input rate is low when the input rate of the medical interview information is less than 25%, and that the input rate is somewhat low when it is 25% or higher but less than 50%. When the input accuracy is high, the reliability of the medical interview information (vital signs and medical interview) entered by the patient is high, and when the input accuracy is low, the reliability of the medical interview information is determined to be low. Therefore, doctors can analyze the medical interview information taking into account its reliability. Also, if the input accuracy is low, there is a possibility that the patient's self-care is insufficient. If the input accuracy is low, doctors can check whether the patient's self-care is sufficient, and if it is insufficient, it is considered that the patient is likely to be readmitted to the hospital, so they can take necessary measures such as testing or patient guidance. This reduces the risk of the patient being readmitted to the hospital.

[0031] Furthermore, the data output unit 203 can vary the color or shade of color used to display the medical interview information depending on the accuracy of input of the patient's medical interview information. This allows medical professionals to analyze and respond to the medical interview information while taking into account the accuracy of input of the medical interview information. For example, medical professionals can easily analyze the medical interview information by focusing only on periods when the input accuracy of the medical interview information is high, or prompt the patient to input medical interview information if there are many periods when the input accuracy is low.

[0032] The condition determination unit 205 determines whether there are signs of a worsening condition of the patient. For example, for simplicity of explanation, it is assumed that when the input rate is equal to or greater than a predetermined first threshold, the input accuracy is determined to be high, and when the input rate is less than the first threshold, the input accuracy is determined to be low. When the input accuracy is low, the reliability of the medical interview information is low, and sufficient information for determining the patient's condition is not obtained. To avoid the risk of overlooking a worsening condition of the patient, the condition determination unit 205 may determine that there are signs of a worsening condition of the patient when the input accuracy is low. Furthermore, when the input accuracy is low, the patient's self-care may be insufficient. Therefore, as described above, if the patient's self-care is insufficient, the doctor takes measures to reduce the risk of the patient being readmitted to the hospital.

[0033] On the other hand, when the input accuracy is high, the condition determination unit 205 determines whether there are signs of a worsening condition of the patient based on whether the value of the medical interview information or a change in the value of the medical interview information exceeds a predetermined second threshold. The change in the value of the medical interview information may be the difference between the actual measurement value of the biological information on any day within the period when the input accuracy is high and a predetermined value. The predetermined value may be, for example, an actual measurement value one day before the any day, an actual measurement value for at least one day six months to one week before the any day, an average value for at least two days six months to one week before the any day, an actual measurement value at the time of discharge from the hospital, or a predetermined set value. Note that, instead of being limited to six months before the any day, an actual measurement value for at least one day one year to one week before the any day or an average value for at least two days may also be used. The predetermined set value is pre-stored in the auxiliary storage device 114. The condition management support device may be configured so that the user can change the set value as appropriate. Below, the determination of whether there are signs of a worsening condition of the patient will be described using specific examples of medical interview information.

[0034] For example, if the patient's weight (vital sign) exceeds a second threshold (e.g., m [Kg]) relative to a preset target weight (reference value) within a period in which the input rate of the patient's weight (vital sign) is equal to or greater than a predetermined first threshold (e.g., 50%), the condition determining unit 205 may determine that this is a sign of a worsening condition of the patient. m may be, for example, 3 [Kg].

[0035] As another example, the condition determination unit 205 determines that there is a sign of a worsening condition of the patient when the patient's systolic blood pressure (vital sign) exceeds a second threshold (set value: 150 [mmHg]) within a period in which the input rate of the patient's systolic blood pressure is equal to or greater than a predetermined first threshold (for example, 50%).

[0036] As another example, the condition determining unit 205 determines that there is a sign of a worsening condition of the patient when the number of days with decreased appetite exceeds a second threshold (e.g., D [days]) during a period in which the input rate of decreased appetite (subjective symptom) is equal to or greater than a predetermined first threshold (e.g., 75%). D may be, for example, 5 [days]. In the case of heart failure, subjective symptoms include, for example, decreased appetite, fatigue, insomnia, shortness of breath, and swelling.

[0037] For example, if the condition determination unit 205 determines that there are signs of a worsening condition of the patient, the data output unit 203 displays on the display of the medical staff terminal 120 and / or the patient terminal 130 that there are signs of a worsening condition of the patient.

[0038] In this way, the presence or absence of signs of a patient's condition deteriorating is determined and the determination result is displayed, allowing medical staff to grasp the signs of a patient's condition deteriorating at an early stage. In addition, because the presence or absence of signs of a patient's condition deteriorating is determined, the patient himself or herself can also grasp the signs of a patient's condition deteriorating at an early stage.

[0039] <Examples of diseases that are subject to condition management> FIG. 4 is a diagram illustrating examples of diseases that are targets of condition management in one embodiment. Examples of diseases that are targets of condition management by the condition management support device of this embodiment include heart failure, diabetes, hypertension, and malignant tumors (cancer). The condition management support device 100 can respond to various diseases by changing the vital signs and type of interview information depending on the target disease. The vital signs and type of interview can be changed by the user, for example, via the input device 115.

[0040] If the disease is heart failure, the types of vital signs that the patient is asked to input include, for example, weight, blood pressure, SpO2, pulse rate, number of steps, etc. Furthermore, the types of subjective symptoms (information about subjective symptoms) include, for example, loss of appetite, fatigue, sleep status, shortness of breath, swelling, etc.

[0041] Furthermore, if the disease is diabetes, the types of vital signs that the patient is required to input include, for example, weight, blood pressure, pulse rate, body temperature, blood sugar level, etc. Furthermore, the types of subjective symptoms include, for example, loss of appetite, fatigue, frequency of urination, thirst, hunger, blurred vision, numbness and pain in the hands and feet, muscle cramps, dryness, fever, diarrhea, vomiting, dizziness, etc.

[0042] Furthermore, if the disease is hypertension, the types of vital signs that the patient is required to input include, for example, blood pressure, pulse rate, body temperature, etc. Furthermore, the types of subjective symptoms include, for example, headache, palpitations, shortness of breath, swelling, stiff shoulders, dizziness, tinnitus, nausea, etc.

[0043] Furthermore, if the disease is cancer, the types of vital signs that the patient is required to input include, for example, weight, blood pressure, pulse rate, body temperature, etc. Furthermore, the types of subjective symptoms include, for example, loss of appetite, sleep status, mental state (pain, depression), pain state, etc.

[0044] <Configuration of medical staff terminal 120> The medical staff terminal 120 may be a computer (for example, a personal computer) having a CPU, ROM, RAM, auxiliary storage device, input device, output device, communication I / F, etc. The basic hardware configuration of the medical staff terminal 120 is similar to the basic configuration of the server 110, and therefore a detailed description thereof will be omitted.

[0045] The CPU of the medical staff terminal 120 loads into the RAM a condition management support program for the medical staff terminal, which is stored in advance in the ROM or auxiliary storage unit, and executes the program, thereby realizing various functions.

[0046] For example, the CPU controls the output device to display a patient list screen, patient interview information for each patient, and an input rate on the display of the output device in accordance with instructions from the condition management support device. The CPU can also display information about signs of a patient's deteriorating condition on the display of the output device in accordance with instructions from the condition management support device. The information about signs of a patient's deteriorating condition can be, for example, a message or sign notifying the patient of the deteriorating condition. Alternatively, the output device can change the color of a patient whose condition has been determined to be deteriorating on the patient list screen, or set a flag corresponding to the patient whose condition has been determined to be deteriorating as a sign indicating the deteriorating condition. Specific examples of displaying messages notifying the patient of a deteriorating condition will be described later.

[0047] <Configuration of patient terminal 130> The patient terminal 130 may be a computer (e.g., a smartphone, personal computer, tablet terminal, etc.) having a CPU, ROM, RAM, auxiliary storage device, input device, output device, communication I / F, etc. The configurations of the CPU, ROM, RAM, and auxiliary storage device of the patient terminal 130 are similar to the configurations of the CPU, ROM, RAM, and auxiliary storage device of the server 110 and the medical staff terminal 120, so detailed description thereof will be omitted. When the patient terminal 130 is a smartphone, the input device and output device may be, for example, a touch panel display.

[0048] The CPU of the patient terminal 130 loads into the RAM and executes a condition management support program (application program) for the patient terminal, which is stored in advance in the ROM or auxiliary storage unit, to realize various functions.

[0049] For example, the CPU, in accordance with instructions from the condition management support device, prompts the patient to input medical interview information into the patient terminal 130. The patient inputs the medical interview information into the patient terminal 130, for example, via a touch panel of an input device. Alternatively, the patient terminal 130 may be configured to input the medical interview information from a device that measures the patient's vital signs via communication using Bluetooth (registered trademark), NFC (Near Field Communication), or the like.

[0050] The CPU also controls the output device to display the medical interview information and input rate for each patient on the display of the output device in accordance with instructions from the condition management support device. The CPU also displays information regarding signs of a worsening condition of the patient on the display of the output device in accordance with instructions from the condition management support device. The information regarding signs of a worsening condition of the patient may be, for example, a message or sign notifying the patient's condition of worsening. Specific display examples of messages notifying the patient's condition of worsening will be described later.

[0051] <How to use the condition management support system> FIG. 5 is a schematic diagram illustrating a method of using the condition management support system shown in FIG. 1. In this embodiment, in the outpatient department of the hospital, a doctor teaches the patient how to input medical interview information into the system (condition management support system) and how to check the medical interview information in daily life. In daily life, the patient inputs the medical interview information every day. The patient also checks the status displayed in the system and either manages their physical condition themselves or contacts the doctor. Again in the outpatient department of the hospital, the doctor checks the patient's daily condition and uses it as a reference for treatment.

[0052] <Condition management support method> Fig. 6 is a flowchart illustrating an outline of the processing procedure of a condition management support method by the condition management support system shown in Fig. 1. The processing of the flowchart shown in Fig. 6 is realized by CPU 111 executing a condition management support program. Fig. 7 is a schematic diagram illustrating a method of inputting interview information in the condition management support system shown in Fig. 1. Fig. 8 is a schematic diagram illustrating a time series display of interview information and input rate in the condition management support system shown in Fig. 1.

[0053] As shown in FIG. 6, first, the medical interview information acquisition unit 201 acquires the patient's medical interview information (step S101). The medical interview information acquisition unit 201 instructs the CPU of the patient terminal 130 to acquire the patient's medical interview information. As shown in FIG. 7, the CPU of the patient terminal 130, in accordance with instructions from the condition management support device, displays a message 11 such as "Please enter today's vital signs and subjective symptoms" on the screen to prompt the patient to input the medical interview information into the patient terminal 130. Such a message 11 prompting the patient to input the medical interview information can be displayed, for example, at a fixed time every day. This can prevent or suppress the patient from forgetting to input the medical interview information.

[0054] The patient inputs medical interview information into the patient terminal 130, for example, via a touch panel of the input device of the patient terminal 130. In the example shown in the figure, the following are input into the vital sign input field 12: weight 60 kg, systolic blood pressure 130 mmHg, diastolic blood pressure 85 mmHg, and SPO2 97%. The number of steps is not input. The following are input into the subjective symptom input field 13: loss of appetite (yes), fatigue (no), sleep status (sufficient), shortness of breath (no), and swelling (no). When the patient presses the send button 14, the input medical interview information is transmitted to the server 110 and stored in the auxiliary storage device 114, for example, linked to the patient ID (identification) and the date and time of input. The patient can also press the edit button 15 to later input items that have not been input or to change the input content. Note that Figure 7 illustrates an example in which subjective symptoms are input in two stages, such as present / absent and sufficient / insufficient, but the present invention is not limited to this and may be configured so that input is made in three or more stages.

[0055] Next, the input rate calculation unit 202 calculates the input rate of the medical interview information (step S102). For example, let NA be the number of times a patient should input medical interview information in a week, and NI be the number of times the patient actually inputs the medical interview information in that week. For example, the input rate calculation unit 202 calculates NI / NA as the input rate of the medical interview information. The input rate can be calculated for each of the input items 12 and 13, namely, vital signs and subjective symptoms. For example, the input rate of weight is calculated by dividing the number of times a patient actually inputs weight in a week by the number of times it should be input in that week (seven times if inputting once a day).

[0056] As another example, patients are often asked to measure their blood pressure in the morning and evening. If blood pressure is measured in the morning and evening (twice a day), the number of times a patient needs to enter medical interview information in one week (seven days) is NA 14. If blood pressure is measured in the morning or evening (once a day), the number of times a patient needs to enter medical interview information in one week is NA 7.

[0057] As another example, for diabetes, the number of measurements per day varies depending on the patient's condition, but patients are often required to take measurements multiple times per day. The number of times a patient should enter medical interview information per week, NA, is the number of measurements per day multiplied by 7.

[0058] Furthermore, the input rate calculation unit 202 can calculate the input rate for each input item of vital signs during a specific period of time and output the input rate for each input item of vital signs. Similarly, the input rate calculation unit 202 can calculate the input rate for each input item of subjective symptoms during a specific period of time and output the input rate for each input item of subjective symptoms. Furthermore, the input rate calculation unit 202 may be configured to calculate the minimum, maximum, average, and median of the input rate for each input item of vital signs during a specific period of time. Furthermore, the input rate calculation unit 202 may be configured to calculate the minimum, maximum, average, and median of the input rate for each input item of subjective symptoms during a specific period of time.

[0059] In addition, if medical interview information spanning one week or more is stored in the auxiliary storage device 114, for each day, the input rate for each input item of vital signs and subjective symptoms is calculated for the week prior to that day, starting from that day.

[0060] Next, the data output unit 203 displays the medical interview information and the input rate (step S103). As shown in FIG. 8, the data output unit 203 displays, for example, the patient's vital signs (weight) as a trend on the display of the medical staff terminal 120 and / or the patient terminal 130 (solid line 21 in the figure). By displaying the vital signs as a trend, medical staff can easily understand the transition of the vital signs. In addition, the data output unit 203 displays the vital sign input rate 22 on the display so that the date and time are synchronized with the trend display of the vital signs. Note that in the figure, the vital sign input rate 22 is displayed with a predetermined period (one week) as one unit (one division). In the vital sign input rate 22, a black pattern indicates a high input rate, and a white pattern indicates a low input rate. By displaying the vital signs and the vital sign input rate in synchronization with the date and time, medical staff can easily understand the relationship between the transition of the vital signs and the transition of the input rate. In addition, the data output unit 203 may be configured to display the input rate (minimum value, maximum value, average value, median value) of vital signs and / or the input rate (minimum value, maximum value, average value, median value) of subjective symptoms for a specific period calculated by the input rate calculation unit 202.

[0061] Additionally, missing (missing) portions of the patient's vital signs may be interpolated to provide an approximate display (approximate formula) 23 of the vital sign trend display (solid line 21). The approximate formula for the trend display may be calculated using known curve fitting techniques or known interpolation techniques such as spline curves or Bezier curves. By displaying the vital sign trend approximately, medical personnel can estimate the general shape of the vital sign trend graph even when vital sign measurements are missing.

[0062] Furthermore, the data output unit 203 can also display the difference value 24 of vital signs (weight) in chronological order together with the medical interview information and the input rate. The difference value 24 of weight can be, for example, the change (increment) from a preset target weight (reference value). The difference value 24 of weight can also be the change in weight from the previous day or the change from a predetermined number of days (for example, one week) ago. By displaying the difference value in chronological order together with the medical interview information and the input rate, medical personnel can easily grasp sudden changes in vital signs.

[0063] The data output unit 203 also displays numerical values ​​of subjective symptoms (Patient Reported Outcomes: PROs) in synchronization with the vital sign trend display, vital sign input rate, and date and time. By displaying the vital sign trend display and PROs in synchronization with time series, medical professionals can easily understand the relationship between the transitions in vital signs and the transitions in subjective symptoms. Understanding the relationship between the transitions in vital signs and the transitions in subjective symptoms is useful for medical professionals in predicting a deterioration in the patient's condition.

[0064] FIG. 8 illustrates an example in which a patient's subjective symptoms of loss of appetite, fatigue, sleep status, shortness of breath, and swelling are quantified and displayed in chronological order in four patterns (patterns 1 to 4) 25 according to the numerical values. In the figure, the darker the color (the larger the pattern numerical value), the more severe the symptom, and the lighter the color (the smaller the pattern numerical value), the less severe the symptom. Note that the display may be configured to display the severity of the subjective symptoms not only by the shade of the color, but also by changing the color according to the numerical value. In this way, by using different colors or shades of color to display the numerical values ​​of the subjective symptoms, medical professionals can easily estimate the severity of the subjective symptoms.

[0065] The number of stages (patterns) is determined according to the stage at which subjective symptoms are entered. For example, Figure 7 shows an example in which subjective symptoms are entered in two stages, such as present / absent or sufficient / insufficient, and in such a case, the PRO display also has two stages.

[0066] Furthermore, the data output unit 203 can display the subjective symptom input rate (PRO input rate) on the display of the medical staff terminal 120 and / or the patient terminal 130. Fig. 8 illustrates a case where the subjective symptom input rate is displayed in chronological order in four-stage patterns (patterns 1 to 4) 26 according to the numerical value.

[0067] Furthermore, the data output unit 203 can display information about the patient's treatment history using a marker. For example, the data output unit 203 can display when a diuretic was started. In the figure, a marker 27 indicating the addition of a diuretic is shown as an example of information about the patient's treatment history. From the timeline position indicated by the marker 27, medical professionals can understand when the diuretic was started.

[0068] 6, the accuracy determination unit 204 determines the input accuracy of the medical interview information (step S104). The accuracy determination unit 204 determines the input accuracy of the medical interview information based on the input rate of the medical interview information of the patient. The method for determining the input accuracy of the medical interview information is as described above.

[0069] Next, the condition determining unit 205 determines whether or not there is a sign of worsening of the patient's condition (step S105). If the condition determining unit 205 determines that there is a sign of worsening of the patient's condition (step S105: YES), the data output unit 203 displays the sign of worsening of the patient's condition on the display of the medical staff terminal 120 and / or the patient terminal 130 (step S106).

[0070] 9, the medical staff terminal 120 displays information about signs of a worsening condition of a patient on the display of the output device in accordance with an instruction from the data output unit 203. For example, the output device can display a message 31 such as "Mr. Mitsuden Ichiro's condition is deteriorating" on the patient list screen 30 of the display as information about signs of a worsening condition of the patient.

[0071] 10, the patient terminal 130 displays information about signs of worsening of the patient's condition on the display of the output device in accordance with instructions from the data output unit 203. For example, the output device can display a message 41 such as "Subjective symptoms have continued for five days or more. Please schedule an outpatient visit within one week" as information about signs of worsening of the patient's condition on the display 40. After finishing displaying the information about signs of worsening of the patient's condition, the condition management support device ends the process (END).

[0072] On the other hand, if the condition determining unit 205 determines that there is no sign of the patient's condition worsening (step S105: NO), the condition management support device ends the process (END).

[0073] 6, medical interview information including the patient's biological information and / or information on subjective symptoms input by the patient is acquired, the input rate for a predetermined period is calculated, and the medical interview information and the input rate are displayed in chronological order. Although the above describes a case where the medical interview information and the input rate are displayed in chronological order, the input rate is not necessarily displayed in chronological order. For example, the data output unit 203 can display only the input rate for a specific period.

[0074] The condition management support device, the condition management support method, and the condition management support program of the present embodiment described above provide the following effects.

[0075] Since information on vital signs (biological information) and subjective symptoms is output, doctors and patients can easily and quickly understand the relationship between vital signs and subjective symptoms. In addition, since interview information including information on the patient's vital signs (biological information) and subjective symptoms, and the input rate of the interview information are output, medical professionals can determine whether the patient is taking sufficient self-care for their illness.

[0076] Although the condition management support device, the condition management support method, and the condition management support program according to the embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments.

[0077] For example, in the above example, the server 110 functions as the medical interview information acquisition unit 201, the input rate calculation unit 202, the data output unit 203, the accuracy determination unit 204, and the condition determination unit 205. However, the present invention is not limited to this case, and the medical staff terminal 120 may be configured to function as the medical interview information acquisition unit 201, the input rate calculation unit 202, the data output unit 203, the accuracy determination unit 204, and the condition determination unit 205.

[0078] In addition, in the above-described embodiment, some or all of the functions executed by the condition management support program may be executed by hardware such as an electronic circuit.

[0079] Furthermore, the processing according to the above-described embodiments may include steps other than those described above, or may not include some of the steps described above. The order of the steps is not limited to that of the above-described embodiments. Furthermore, each step may be combined with other steps and executed as a single step, may be included in other steps and executed, may be divided into multiple steps and executed, or may be executed simultaneously with other steps.

[0080] The condition management support program may also include two or more subprograms. Each of the above-described functions may be realized by the CPU executing the subprogram. For example, the medical interview information acquisition unit 201 may be realized by the CPU executing subprogram A, and the input rate calculation unit 202 and the data output unit 203 may be realized by the CPU executing subprogram B. That is, in this case, subprogram A may be a program that causes the CPU to execute processes including a procedure for acquiring medical interview information, including biometric information and / or information on subjective symptoms of the patient, entered by the patient. Furthermore, subprogram B may be a program that causes the CPU to execute processes including a procedure for calculating the input rate and a procedure for outputting the medical interview information and the input rate. The CPUs (computers) that execute subprograms A and B may be provided in the same device or in different devices (e.g., the server 110 and the medical staff terminal 120). [Explanation of symbols]

[0081] 100 Condition management support system, 110 server (condition management support device), 111 CPUs, 112 ROMs, 113 RAM, 114 Auxiliary storage, 115 input devices, 116 output devices, 117 communication I / F, 120 medical staff terminals, 130 patient terminals, 201 Interview information acquisition department, 202 input rate calculation unit, 203 data output unit, 204 Accuracy judgment section, 205 Condition Assessment Department.

Claims

1. an interview information acquisition unit that acquires interview information input by a subject, the interview information including biometric information and / or information regarding subjective symptoms of the subject; an input rate calculation unit that calculates an input rate as a ratio of the number of times the subject actually inputs the medical interview information to the number of times the subject should input the medical interview information within a predetermined period; and a data output unit that outputs the medical interview information and the input rate.

2. The condition management support device according to claim 1 , wherein the medical interview information and the input rate output by the data output unit are output in chronological order.

3. an accuracy determination unit that determines the input accuracy of the medical interview information based on the input rate of the medical interview information of the subject; The condition management support device according to claim 1 , wherein the accuracy determination unit determines that the higher the input rate calculated by the input rate calculation unit, the higher the input accuracy.

4. The condition management support device according to claim 1 , wherein the data output unit changes the color or the shade of the color used to display the medical interview information depending on the input accuracy of the medical interview information.

5. The condition management support device according to claim 1 , wherein the data output unit outputs the input rate of the medical interview information using a numerical value, a graph, a pattern, or a table.

6. The method further includes a condition determination unit that determines whether or not there is a sign of deterioration in the subject's condition, 4. The condition management support device of claim 3, wherein the condition determination unit determines that there is a sign of a worsening condition of the subject when the input rate of the medical interview information is less than a predetermined first threshold, or when the input rate of the medical interview information is equal to or greater than a predetermined first threshold, and when a change in the value of the biometric information and / or the value of the information regarding subjective symptoms of the medical interview information exceeds a predetermined second threshold.

7. 7. The condition management support device of claim 6, wherein the change in the value of the vital sign is a difference between the actual measured value of the vital sign on any day within the period and any one of the actual measured value one day before the any day, the actual measured value for at least one day from six months to one week before the any day, the average value for at least two days from six months to one week before the any day, the actual measured value at the time of discharge of the subject, and a predetermined set value.

8. 8. The condition management support device according to claim 6, wherein the data output unit displays a message indicating that the subject's condition is deteriorating when the condition determination unit determines that the subject's condition is deteriorating.

9. The condition management support device according to claim 1 , wherein the medical interview information acquisition unit prompts the subject to periodically input medical interview information.

10. The condition management support device according to claim 1 , wherein the data output unit displays the biological information of the medical interview information as a trend.

11. The condition management support device according to claim 10 , wherein the data output unit displays an approximation of a trend of the biological information in the medical interview information.

12. The condition management support device according to claim 7 , wherein the data output unit displays the difference value together with the medical interview information and the input rate in chronological order.

13. 8. The condition management support device according to claim 7, wherein the data output unit displays a numerical value of the information on subjective symptoms in the medical interview information by changing a color or a shade of a color according to the value.

14. The condition management support device according to claim 1 , wherein the data output unit displays information about the subject's treatment history in a highlighted manner.

15. a step (a) of acquiring interview information input by a subject, the interview information including biometric information and / or information regarding subject's subjective symptoms; (b) calculating an input rate, which is the ratio of the number of times the subject actually inputs the medical interview information to the number of times the subject should input the medical interview information within a predetermined period of time; and (c) outputting the medical interview information and the input rate.

16. a step (a) of acquiring interview information input by a subject, the interview information including biometric information and / or information regarding subjective symptoms; (b) calculating an input rate, which is the ratio of the number of times the subject actually inputs the medical interview information to the number of times the subject should input the medical interview information within a predetermined period of time; and (c) outputting the medical interview information and the input rate.

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