Information processing device, information processing system, information processing method and program

Abstract

To provide an information processing device, method, and program that allow a plurality of medical professionals to share predicted future conditions of a patient.SOLUTION: In a medical system in which a central monitor and a plurality of bedside monitors are connected to each other via a wired or wireless network so that they can communicate with each other, a control unit 210 of a central monitor, which is a type of an information processing device, includes: a history acquisition unit 211 that acquires a history of biological parameters measured for a predetermined subject; and a display control unit 215 that causes a display unit to display the history and a prediction input screen for causing a user to input prediction information about future prediction of the subject's biological parameters.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing system, an information processing method, and a program. [Background technology]

[0002] In medical institutions such as hospitals, changes over time in a patient's biological parameters, such as heart rate, are measured (see, for example, Patent Document 1). Doctors, for example, check these changes in biological parameters to predict the patient's future condition and develop and modify treatment plans for each patient. In the patient's recovery process, multiple medical professionals, such as the patient's doctor, multiple nurses, and doctors with different specialties, are often involved. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Special Publication No. 2017-503569 Summary of the Invention [Problem to be solved by the invention]

[0004] Among such multiple medical professionals, it is desirable to share information about the patient's future condition, which can be predicted from their current condition, due to a lack of communication, differences in working hours, differences in knowledge and experience, and differences in expertise. If medical professionals are unable to effectively share information about the patient's future condition, miscommunication between them is likely to occur, leading to inefficient bed management and potentially delaying the patient's smooth recovery.

[0005] Therefore, the present invention aims to provide an information processing device, information processing system, information processing method, and program that enable multiple medical professionals to more accurately share a patient's future condition predicted from their current condition. [Means for solving the problem]

[0006] The above-mentioned problems of the present invention are solved by the following means.

[0007] The information processing device of the present invention comprises a history acquisition unit that acquires a history of biological parameters measured for a specified subject, and a display control unit that displays the history on a display unit and a prediction input screen that allows a user to input prediction information regarding future predictions of the biological parameters of the subject. [Effects of the Invention]

[0008] In the information processing device according to the present invention, for example, a display unit displays a history of biological parameters of a subject such as a patient and a prediction input screen, so that a user can easily input prediction information regarding future predictions of biological parameters into the information processing device while checking the history of the biological parameters. The prediction information input by the user into the information processing device is displayed, for example, on the display unit. This makes it possible for multiple medical professionals to share the future condition of a patient predicted from the current condition. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram illustrating an example of the overall configuration of an information processing system according to an embodiment of the present invention. [Figure 2] 2 is a block diagram illustrating an example of the configuration of the bedside monitor illustrated in FIG. 1. FIG. [Figure 3] 2 is a block diagram illustrating an example of the configuration of a central monitor illustrated in FIG. 1. [Figure 4] 4 is a block diagram illustrating an example of the functions of a control unit illustrated in FIG. 3. FIG. [Figure 5] 4 is a diagram illustrating an example of a screen displayed on the display unit illustrated in FIG. 3. FIG. [Figure 6] 4 is a diagram illustrating another example of a screen displayed on the display unit illustrated in FIG. 3. FIG. [Figure 7] 2 is a flowchart illustrating an example of a process of the central monitor illustrated in FIG. 1. [Figure 8]FIG. 10 is a diagram illustrating an example of an overall configuration of an information processing system according to a modified example. [Figure 9] FIG. 9 is a diagram illustrating another example of the overall configuration of the information processing system illustrated in FIG. 8. DETAILED DESCRIPTION OF THE INVENTION

[0010] An information processing device and an information processing system according to an embodiment of the present invention will be described in detail below with reference to the drawings. In the drawings, identical elements are designated by the same reference numerals, and duplicated descriptions will be omitted.

[0011] <Embodiment> [Configuration of Information Processing System 1] FIG. 1 is a schematic diagram of an information processing system 1. The information processing system 1 includes, for example, a bedside monitor 100 and a central monitor 200. The information processing system 1 may also include various vital sign measuring devices, such as a ventilator (e.g., a ventilator 500 in FIG. 9 described later) for treating patients with respiratory diseases, a blood gas measuring device, and a spot check monitor, although these are not shown. The central monitor 200 and the bedside monitor 100 are connected to each other via a wired or wireless network so that they can communicate with each other. The network may be, for example, a local area network (LAN) or a wide area network (WAN). The network may use, for example, Ethernet (registered trademark), Wi-Fi (registered trademark), Bluetooth (registered trademark), or 5G as a communication standard. For example, multiple bedside monitors 100 are connected to one central monitor 200. Here, the central monitor 200 corresponds to a specific example of an information processing device of the present invention. When the information processing system 1 includes various vital sign measuring devices (for example, a ventilator), the various data acquired by the measuring devices can be transmitted and received between the central monitor 200 and the bedside monitor 100. The information processing system 1 may also include an electronic medical record server (not shown) (for example, the electronic medical record server 400 in FIG. 9 described below), and the bedside monitor 100 and the central monitor 200 may be configured to be able to acquire various information from this electronic medical record server.

[0012] (Bedside Monitor 100) 2 is a block diagram of the hardware configuration of the bedside monitor 100. The bedside monitor 100 includes, for example, a control unit 110, a storage unit 120, a communication unit 130, a display unit 150, and an input unit 160. These components are interconnected by a bus. Some components may be connected to the bus via wireless communication. A bedside monitor 100 may be provided for each patient's bed or each patient's room, for example.

[0013] The control unit 110 is configured with, for example, a CPU (Central Processing Unit) and RAM (Random Access Memory), and controls each component of the bedside monitor 100 and performs various calculations. The control unit 110 transmits biological parameters, i.e., vital signs, measured by the sensor 140 to the central monitor 200 via the communication unit 130. The biological parameters measured by the sensor 140 are, for example, parameters related to the heart, blood pressure, respiration, circulation, brain, body temperature, and blood, and specifically, include heart rate (HR), invasive blood pressure (ART), non-invasive blood pressure (NIBP), arterial oxygen saturation (SpO2), regional cerebral oxygen saturation (rSO2), inspired oxygen concentration (FiO2), expired carbon dioxide partial pressure (RR(CO2)), arterial blood oxygen partial pressure (PaO2), arterial blood carbon dioxide partial pressure (PaCO2), central venous pressure (CVP), acidity (PH), respiratory rate (rRESP), continuous cardiac output (CCO2), and body temperature.

[0014] When an abnormality is detected in a biological parameter measured by the sensor 140, the control unit 110 may transmit an alarm notifying the abnormality to the central monitor 200 via the communication unit 130. Abnormalities notified by the alarm include, for example, an abnormality in the measured biological parameter, an abnormality in an apparatus including the measuring equipment (devices and elements) constituting the sensor 140, an abnormality in the attachment state such as the sensor 140 being removed from the patient, and an abnormality in the measurement environment such as radio wave loss or noise interference.

[0015] The control unit 110 may, for example, associate the measured biological parameters with identification information that identifies the subject (patient, etc.) of the biological parameters and transmit the biological parameters to the central monitor 200. The identification information may include, for example, the subject's bed number, the patient's ID, and the IP address of the bedside monitor 100. The transmitted biological parameters may be accompanied by information such as the measurement date and time.

[0016] The storage unit 120 is configured by, for example, an SSD (Solid State Drive), and stores various programs including an operating system and various data.

[0017] The communication unit 130 is an interface for communicatively connecting the bedside monitor 100 and the central monitor 200. The communication unit 130 may be configured with, for example, an input terminal, an antenna, a front-end circuit, and the like.

[0018] The sensor 140 is a device or element that detects a biological parameter. The sensor 140 includes, for example, an electrode for measuring an electrocardiogram, an SpO2 probe, etc. The sensor 140 is configured to be detachable from the bedside monitor 100, for example.

[0019] The display unit 150 displays (outputs) the biological parameters of the subject measured by the sensor 140 in a visually recognizable manner. The biological parameters are displayed, for example, as numerical values, waveforms, graphs, etc. on the display unit 150. The display unit 150 may be configured, for example, by a liquid crystal display, etc.

[0020] The input unit 160 accepts various inputs from the user. For example, medical professionals such as doctors and nurses input various pieces of information to the bedside monitor 100 via the input unit 160. The input unit 160 is configured, for example, by operation buttons, a mouse, or a keyboard. The display unit 150 and the input unit 160 may be configured integrally, and for example, they may be configured by a touch panel display or the like.

[0021] (Central Monitor 200) 3 is a block diagram of the hardware configuration of the central monitor 200. The central monitor 200 includes a control unit 210, a storage unit 220, a communication unit 230, a display unit 240, and an input unit 250. These components are connected to each other via a bus. The basic configurations of these components are similar to the basic configurations of the corresponding components of the bedside monitor 100, so redundant explanations will be omitted. The central monitor 200 is configured to be able to aggregate and display biological parameters of multiple subjects received from each bedside monitor 100, for example, and is placed in a nurse's station or the like.

[0022] The control unit 210 receives measured biological parameters and subject identification information from each bedside monitor 100 via the communication unit 230. In this embodiment, the control unit 210 displays a prediction input screen on the display unit 240 along with the subject's biological parameter history. The prediction input screen is a screen for allowing the user to input prediction information regarding future predictions of the subject's biological parameters. The prediction information is a concept that may include target values ​​such as clinical guideline values ​​(guideline values ​​from various academic societies and values ​​arranged by each hospital based on the guideline values) in addition to predicted values ​​and conditions of the patient's future vital signs (biological parameters). More specific functions of the control unit 210 will be described later. The control unit 210 may receive an alarm from each bedside monitor 100 and output alarm information related to the alarm to the display unit 240, etc.

[0023] The storage unit 220 stores the measured biological parameters and the identifying information in association with the time of reception. The measured biological parameters may be stored in association with the identifying information. The storage unit 220 may also store subject information for each subject. This subject information includes information regarding at least one of the subject's condition and the subject's treatment plan. The subject's condition may include, for example, the subject's gender, age, body shape, smoking history, underlying illness, medical history, height, weight, reason for hospitalization, reason for admission to an intensive care unit or the like, disease name, medication status, pneumonia onset status, and surgery status. The subject's treatment plan may include, for example, the timing to remove the ventilator from the subject, the timing to leave the intensive care unit (ICU), the timing of medication / suction care, the frequency and timing of vital sign measurement, and rehabilitation implementation details.

[0024] The communication unit 230 is an interface for connecting to each bedside monitor 100. The communication unit 230 may be configured to enable the central monitor 200 to be further connected to other devices.

[0025] The display unit 240 aggregates and displays (outputs) the biological parameters of each subject received by the control unit 210 from the multiple bedside monitors 100. The input unit 250 accepts various inputs from users such as medical professionals. The user inputs predicted information for each subject via this input unit 250. For example, the user may input numerical values ​​as predicted information from a keyboard or the like, or may select a predetermined position or area on a graph or the like using a mouse or the like.

[0026] 4 is a block diagram showing an example of the functional configuration of the control unit 210. In the central monitor 200, for example, the control unit 210 reads a program stored in the storage unit 220 and executes processing, thereby functioning as a history acquisition unit 211, a subject information acquisition unit 212, a determination unit 213, a screen generation unit 214, a display control unit 215, a change acceptance unit 216, an input acceptance unit 217, an interpolation unit 218, a measurement information acquisition unit 2191, and a notification unit 2192.

[0027] The history acquiring unit 211 acquires a history of biological parameters measured for each subject. For example, the history acquiring unit 211 acquires a history of each of a plurality of types of biological parameters for a predetermined subject. The history of each biological parameter is made up of, for example, a plurality of data measured by the sensor 140 at a predetermined time interval. The history of each biological parameter may be a single piece of data measured by the sensor 140 at a predetermined date and time. For example, the history acquiring unit 211 acquires a history of biological parameters from each bedside monitor 100.

[0028] The subject information acquiring unit 212 acquires subject information of each subject whose biological parameter history is to be acquired. The subject information acquiring unit 212 acquires the subject information from, for example, the storage unit 220. The subject information acquiring unit 212 may acquire the subject information from the bedside monitor 100, or may acquire the subject information from another device such as an electronic medical record.

[0029] The determination unit 213 determines the priority of input of prediction information by the user for each biological parameter for which the history has been acquired. The determination unit 213 determines a higher priority for a biological parameter that is more necessary to be input than for other biological parameters. The determination unit 213 determines the priority based on, for example, at least one of the subject information acquired by the subject information acquisition unit 212 and the history acquired by the history acquisition unit 211.

[0030] For example, when the subject information includes information that the subject has just undergone surgery, the determining unit 213 determines that the priority of the blood pressure-related biological parameters and the circulation-related parameters is higher than that of the other biological parameters. For example, when the subject information includes information that the subject has pneumonia, the determining unit 213 determines that the priority of the blood gas data-related biological parameters is higher than that of the other biological parameters.

[0031] For example, when an abnormal or suspected abnormal biological parameter is detected from the history of the biological parameters of the subject, the determining unit 213 determines the priority of this biological parameter to be higher than other biological parameters. The determining unit 213 may determine the order of priority or the classification of priority.

[0032] The screen generating unit 214 generates a predictive input screen based on at least one of the subject information acquired by the subject information acquiring unit 212 and the history acquired by the history acquiring unit 211. This makes it possible to display a predictive input screen that is more suitable for each subject. The screen generating unit 214 generates a predictive input screen that allows the user to input predicted information for any type of biological parameter from among the multiple types of biological parameters for which histories have been acquired. The predictive input screen, for example, has an input field (for example, an input field P in FIG. 5 described below) formed thereon to allow the user to input predicted information. The screen generating unit 214 may form input fields for all types of biological parameters for which histories have been acquired, or may form input fields for some of the biological parameters for which histories have been acquired.

[0033] It is preferable that the screen generating unit 214 generates a prediction input screen based on the priority of the biological parameter determined by the determining unit 213. This makes it easier for the user to understand the type of biological parameter that needs to be predicted, and enables the user to efficiently input prediction information. For example, the screen generating unit 214 selectively forms an input field for a biological parameter with a high priority. The screen generating unit 214 may form an input field for a biological parameter with a higher priority in a position where the user can easily input data. Alternatively, the screen generating unit 214 may form input fields for biological parameters in a differentiated manner depending on the priority.

[0034] The screen generating unit 214 may generate a predictive input screen in which at least some of the predictive information is input in advance. For example, the screen generating unit 214 generates a predictive input screen in which default values ​​are input in advance in input fields based on at least one of the subject information and the history. This allows the user to input the predictive information by referring to the default values, thereby enabling efficient input of the predictive information. The screen generating unit 214, for example, determines the value of the biological parameter most recently acquired in the history as the default value. For example, the screen generating unit 214 may determine the default value so that the value increases or decreases by a predetermined difference (for example, several percent to several tens of percent) from the value of the biological parameter most recently acquired in the history at predetermined intervals. For example, the screen generating unit 214 may determine the default value based on subject information such as information on the settings of a respirator attached to the subject and medication information.

[0035] The display control unit 215 causes the display unit 240 to display the history acquired by the history acquisition unit 211 and the predictive input screen generated by the screen generation unit 214.

[0036] Fig. 5 shows an example of the history (history H) and prediction input screen displayed by the display control unit 215 on the display unit 240. In Fig. 5, the history H of HR, ART, NIBP, SpO2, rSO2, FiO2, RR(CO2), PaO2, PaCO2, and PH acquired at 7:00 on September 1st for a specific subject is displayed.

[0037] The prediction input screen has an input field P for the user to input predicted information for SpO2, PaCO2, and pH every hour starting from 8:00 AM on September 1st. The prediction input screen is preferably configured to allow input of predicted information at predetermined time intervals. This allows the user to predict and input changes in biological parameters over time. The prediction input screen may be configured to allow input of predicted information every few minutes, or every few hours to every few days. The time interval for inputting predicted information may vary depending on the biological parameters. The history H and the input field P are displayed on the display unit 240 in, for example, a list (table) format. The history H and the input field P may also be displayed on the display unit 240 in a graph format (for example, as shown in FIG. 6, which will be described later).

[0038] The display control unit 215 preferably simultaneously displays the history H and the predictive input screen on one screen, and more preferably displays the history H and the predictive input screen integrally. The history H may be displayed within the predictive input screen. This makes it easier for the user to input predictive information while checking the history H. Furthermore, a user who is accustomed to operating an application that displays the history H can easily input predictive information without being confused by the input operation into the input field P that is displayed integrally with the history H.

[0039] The display control unit 215 preferably further displays a comment input screen on the display unit 240, which allows the user to input information related to the prediction information. For example, the user can input text such as the basis for the input prediction information into this comment input screen. The comment input screen may be displayed on the display unit 240 simultaneously with the prediction input screen, or may be displayed on the display unit 240 in exchange for the prediction input screen. The comment input screen may be linked to other applications, etc., and may be provided in association with, for example, an input field for notes for the treatment and care of the subject, or for communicating information between medical professionals, etc.

[0040] The display control unit 215 preferably further displays measurement information regarding biological parameters measured at the date and time corresponding to the prediction information on the display unit 240. This makes it easier for the user to compare the predicted values ​​of the biological parameters predicted by the user with the measured values ​​of the biological parameters measured by the sensor 140, making it easier for medical professionals to review treatment plans, etc. The measurement information is acquired by the measurement information acquisition unit 2191.

[0041] Fig. 6 shows an example of the predicted information and measurement information displayed on the display unit 240. In Fig. 6, the predicted information of HR, SpO2, and ART(Sys) for each hour since 8:00 AM on September 1st, and the measurement information of HR, SpO2, and ART(Sys) measured for each hour since 7:00 AM on September 1st are shown in a trend graph. In this trend graph, the measurement information is represented by a solid line, and the predicted information is represented by a dashed line. By displaying the predicted information and the measurement information overlaid on the same graph in this way, it is easy to grasp the agreement and discrepancy between the predicted information and the measurement information.

[0042] The change accepting unit 216 accepts, from the user, a change to the predictive input screen displayed on the display unit 240. This change to the predictive input screen is accepted, for example, via the input unit 250. The change accepting unit 216 accepts, for example, changes to the time interval for inputting predicted information and the type of biological parameter for inputting predicted information. The change accepting unit 216 may accept addition and deletion of biological parameters for inputting predicted information. The change accepting unit 216 may accept a change to the display format of the predictive input screen, such as a list format or a graph format. The display control unit 215 changes the predictive input screen to be displayed on the display unit 240 in accordance with the change to the predictive input screen accepted by the change accepting unit 216. This allows the user to display a predictive input screen that makes it easier to input predicted information according to their individual preferences or the condition of the subject.

[0043] The input receiving unit 217 receives input of prediction information from the user. This input of prediction information is received, for example, via the input unit 250. The display control unit 215 causes the display unit 240 to display this prediction information input by the user.

[0044] In this embodiment, the user himself / herself inputs the predicted information. Here, the user can input the predicted information while closely observing the subject's condition, such as the subject's facial expression, which is difficult to obtain from a device, etc., and therefore the user is more satisfied and less likely to feel bothered by inputting the information, compared to when AI (Artificial Intelligence) or the like is used to predict the subject's future biological parameters.

[0045] The interpolation unit 218 interpolates prediction information for other dates and times based on prediction information for some dates and times input by the user. For example, when the user inputs prediction information for 8:00 on September 1st and 20:00 on September 1st, the interpolation unit 218 interpolates prediction information for each hour from 9:00 to 19:00 on September 1st based on these two pieces of prediction information. This reduces the effort required for input. The interpolation unit 218 may interpolate prediction information for every few minutes, or may interpolate prediction information for every few hours. The interpolation unit 218 may interpolate prediction information according to a predetermined rule, or may interpolate prediction information using statistics, machine learning, or the like.

[0046] The measurement information acquiring unit 2191 acquires measurement information relating to biological parameters measured at the date and time corresponding to the input prediction information. The measurement information acquiring unit 2191 acquires the measurement information from the bedside monitor 100, for example.

[0047] The notification unit 2192 may have a function of notifying when the difference between the input prediction information and the measurement information acquired by the measurement information acquisition unit 2191 exceeds a predetermined difference. This function can be switched on / off by the user. This allows medical professionals to easily notice a discrepancy between the predicted future condition of the subject and the actual condition, allowing them to make changes to the treatment plan early. For example, when the difference between the predicted ART information at 9:00 AM on September 1st and the ART measurement information at 9:00 AM on September 1st (see FIG. 6 ) exceeds a predetermined threshold, the notification unit 219 may display a warning message on the display unit 240 or change the display method of the measurement value (e.g., by changing the color of the numerical value, changing the background color, etc.). For example, the notification unit 219 may notify when the subject's recovery is slower than expected by the user. The notification unit 219 may notify by sending a warning email to the relevant person's terminal, or by emitting an alarm sound from a speaker or the like.

[0048] It is also possible to display the difference between the input predicted information and the measurement information acquired by the measurement information acquisition unit 2191 on the display unit 240 shown in Fig. 5. In this case, a medical professional referring to the display unit 240 can grasp the magnitude of the difference between the actual measurement value and the information on the predicted value, and can use this information in subsequent treatments, etc.

[0049] Information regarding the date and time when the user inputs the prediction information may be associated with the prediction information and stored in a memory such as the storage unit 220. This associates the prediction information with the input date and time of the prediction information. Information regarding the input date and time may also be displayed on the display unit 240 along with the prediction information. By comparing the input date and time of the prediction information with the measurement date and time of the measurement information, healthcare professionals can easily determine whether the prediction information is a short-term or long-term prediction. For example, when a certain period of time has elapsed between the input date and time of the prediction information and the measurement date and time of the measurement information, i.e., when the prediction information is a long-term prediction, the text color or background color of the displayed prediction information may be different from when the prediction information is a short-term prediction. The certain period of time may be, for example, 24 hours. This allows healthcare professionals to easily grasp the trends in the accuracy of short-term and long-term predictions, for example.

[0050] [How to process Central Monitor 200] Next, the process of receiving the prediction information by the central monitor 200, that is, the information processing method, will be described.

[0051] 7 is a flowchart showing the reception process of the central monitor 200. This flowchart can be executed by the control unit 210 of the central monitor 200 in accordance with a program.

[0052] First, the control unit 210 acquires the biological parameter history and subject information for a predetermined subject (steps S101 and S102). The control unit 210 may acquire the subject information and history in this order, or may acquire them simultaneously.

[0053] Next, the control unit 210 determines the priority of input of prediction information for each biological parameter whose history is acquired in step S101 (step S103). The control unit 210 determines the priority based on at least one of the history and subject information acquired in steps S101 and S102, for example.

[0054] Next, the control unit 210 generates a predictive input screen based on the priority determined in step S102, and causes the display unit 240 to display the generated predictive input screen together with the history of the biological parameters (steps S104 and S105).

[0055] Thereafter, control unit 210 determines whether a change to the predictive input screen displayed on display unit 240 has been accepted from the user (step S106). If a change to the predictive input screen has been accepted (step S106: YES), control unit 210 changes the predictive input screen in accordance with the change instruction accepted from the user (step S107), and then accepts input of predictive information from the user (step S108). If a change to the predictive input screen has not been accepted (step S106: NO), control unit 210 maintains the predictive input screen generated in step S104 and proceeds to the processing of step S108.

[0056] After receiving the input of the prediction information from the user, the control unit 210 causes the display unit 240 to display the received prediction information (step S109). The control unit 210 causes the prediction information to be displayed on a prediction input screen, for example. The control unit 210 may interpolate the prediction information based on the prediction information input by the user.

[0057] Next, the control unit 210 acquires the measurement information (step S110). Subsequently, the control unit 210 determines whether or not the difference between the prediction information and the measurement information exceeds a predetermined difference (step S111). If the difference between the prediction information and the measurement information exceeds the predetermined difference (step S111: YES), the control unit 210 notifies the same (step S112), and then determines whether or not to end the process (step S113). If the difference between the prediction information and the measurement information does not exceed the predetermined difference (step S111: NO), the control unit 210 proceeds to the process of step S113.

[0058] When the control unit 210 determines not to end the process (step S113: NO), it returns to the process of step S110, and when it determines to end the process (step S113: YES), it ends the process.

[0059] [Effects of the central monitor 200 and the information processing system 1] The central monitor 200 and information processing system 1 of this embodiment display the subject's biological parameter history and a prediction input screen on the display unit 240, allowing users such as doctors to easily input prediction information into the central monitor 200 while checking the biological parameter history. The prediction information input by the user into the central monitor 200 is displayed, for example, on the display unit 240. This makes it possible for multiple medical professionals to share the predicted future condition of a patient more accurately. The effects of this are described below.

[0060] It is important for multiple medical professionals to share the future state of a patient predicted from current biological parameters. For example, a doctor creates a treatment plan for each patient by predicting the patient's future state, such as a few hours or days from now, based on the biological parameters of the current patient (subject). However, from the perspective of information sharing, it is not desirable for the doctor who created the treatment plan to simply instruct other medical professionals (e.g., nurses and other doctors) involved in the patient's treatment without informing them of the predicted future state of the patient.

[0061] Here, the central monitor 200 of this embodiment allows a doctor to predict and input the subject's future biological parameters, and this prediction is displayed, for example, on the display unit 240. Therefore, a nurse who receives work instructions from a doctor can easily understand the basis of the doctor's treatment plan from the displayed prediction information. This allows the nurse to have confidence in their own assessment and to more smoothly communicate with the doctor. Therefore, it becomes possible to provide more appropriate and prompt care to the patient. Furthermore, because the nurse can know the biological parameters that the doctor is focusing on, collaboration with the doctor proceeds smoothly and the nurse can easily notice a discrepancy between the doctor's predicted recovery state and the patient's actual recovery state.

[0062] Furthermore, because nurses can provide care for patients based on the displayed forecast information, even if the nurse in charge changes due to shift changes, doctors will not need to repeat instructions if the change in the patient's condition is generally as predicted, thereby reducing the burden on doctors.

[0063] In addition, the displayed prediction information clearly shows the future condition of the patient as predicted by a specific doctor, making it easier to coordinate treatment plans even if the treatment plans differ between multiple doctors.

[0064] In this way, the central monitor 200 makes it possible to visualize the patient's future condition predicted by a user (e.g., a doctor), i.e., the prediction information, so that the predicted future condition of the patient can be shared among multiple medical professionals, improving the quality of communication. In medical settings, technology is becoming more advanced, and the number of points to focus on and points to check for care is increasing. In such medical settings, use of the central monitor 200 makes it possible to easily and concisely share predictions regarding the patient's future condition. Therefore, the central monitor 200 contributes to multi-disciplinary collaboration in medical settings and also improves the efficiency of staff training in medical settings.

[0065] The following describes a modified example of the information processing system 1 described in the above embodiment. In order to avoid duplication of explanation, detailed explanations of the same components as those of the information processing system 1 described in the above embodiment will be omitted.

[0066] <Modification> Figures 8 and 9 are schematic configuration diagrams showing other examples of the information processing system 1 described above in Figure 1. The information processing system 1 may further include a biological information management server 300 and an electronic medical record server 400 (Figure 8), and may further include a respiratory apparatus 500 (Figure 9).

[0067] The biological information management server 300 and the electronic medical record server 400 are connected to the bedside monitor 100 and the central monitor 200 via a wired or wireless network. A plurality of central monitors 200 may be connected to the biological information management server 300 and the electronic medical record server 400.

[0068] The biological information management server 300, for example, acquires and stores measurement information on the patient's biological parameters measured by each bedside monitor 100. This biological information management server 300 may have the functions of the history acquisition unit 211, the subject information acquisition unit 212, the determination unit 213, the screen generation unit 214, the display control unit 215, the change acceptance unit 216, the input acceptance unit 217, the interpolation unit 218, the measurement information acquisition unit 2191, and the notification unit 2192 of the central monitor 200 described in the above embodiment. That is, the biological information management server 300 may be a specific example of the information processing device of the present invention.

[0069] Electronic medical record information of a plurality of patients is stored in the electronic medical record server 400. The electronic medical record server 400 transmits patient information to the biological information management server 300, for example.

[0070] The ventilator 500 is a so-called artificial respirator and is connected to each bedside monitor 100. The ventilator 500 may be connected to the central monitor 200, the biological information management server 300, and the electronic medical record server 400 so as to be able to communicate directly with them. Biological parameters measured by the ventilator 500, settings of the ventilator 500, alarm information of the ventilator 500, etc. are transmitted to the biological information management server 300. The ventilator 500 may function in the same manner as the input unit 250 of the central monitor 200 described above. The information processing system 1 may include measuring devices such as a blood gas measuring device and a spot check monitor in addition to the ventilator 500, or may include measuring devices that measure other biological parameters instead of the ventilator 500. The information processing system 1 may include the ventilator 500 instead of the bedside monitor 100.

[0071] In this information processing system 1, as in the above embodiment, the display unit displays the subject's biological parameter history and a prediction input screen, so that a user such as a doctor can easily input prediction information into the biological information management server 300 while checking the biological parameter history. The prediction information input by the user to the biological information management server 300 is displayed, for example, on the display unit of the biological information management server 300. This allows multiple medical professionals to share the predicted future condition of a patient more accurately.

[0072] Although the embodiments of the present invention have been described in detail above, the present invention is not limited to the above-described embodiments. For example, some or all of the functions realized by the programs in the above-described embodiments may be realized by hardware such as circuits.

[0073] Furthermore, the above-described control unit 210 does not need to have all the functions, and may have other functions. For example, the control unit 210 does not need to have the function of the interpolation unit 218, and the user may select whether or not to enable the interpolation unit 218.

[0074] In addition, some or all of the functions of the history acquisition unit 211, subject information acquisition unit 212, decision unit 213, screen generation unit 214, display control unit 215, change acceptance unit 216, input acceptance unit 217, interpolation unit 218, measurement information acquisition unit 2191 and notification unit 2192 of the above-mentioned control unit 210 may be provided in the biological information management server 300 or the electronic medical record server 400. Furthermore, any device (not shown) that relays communication between the devices may be included as appropriate, and the relay device may convert the transmission data as appropriate.

[0075] In the above-described embodiment, an example has been described in which the central monitor 200 corresponds to a specific example of the information processing device of the present invention, but the bedside monitor 100 may also correspond to a specific example of the information processing device of the present invention. For example, the control unit 110 of the bedside monitor 100 may function in the same manner as the above-described control unit 210. Both the bedside monitor 100 and the central monitor 200 may also correspond to a specific example of the information processing device of the present invention.

[0076] In addition, the biometric information management server 300, the electronic medical record server 400 or the respiratory apparatus 500 may have functions similar to some or all of the control unit 210, memory unit 220, communication unit 230, display unit 240 and input unit 250 of the central monitor 200 described above.

[0077] In addition, some steps may be omitted from the above-described flowcharts, other steps may be added, some of the steps may be executed simultaneously, or one step may be divided into multiple steps and executed. [Explanation of symbols]

[0078] 1 Medical systems, 100 bedside monitors, 110 control section, 120 storage section, 130 Communications Department, 140 sensors, 150 display section, 200 bedside monitors, 210 control section, 220 storage section, 230 Communications Department, 240 display section, 250 Input section.

Claims

1. a history acquisition unit that acquires a history of each of a plurality of types of biological parameters measured for a predetermined subject; a determination unit that determines a priority of input of prediction information regarding future prediction of the biological parameters of the subject based on the history for the plurality of types of biological parameters for which the history has been acquired; a screen generation unit that generates a prediction input screen for allowing a user to input the prediction information based on the determined priority; a display control unit that causes a display unit to display the history and the predictive input screen; An information processing device comprising:

2. A history acquisition unit that acquires a history of each of a plurality of types of biological parameters measured for a predetermined subject; a subject information acquiring unit that acquires subject information including at least one of a condition of the subject and a treatment plan for the subject; a determination unit that determines a priority of input of prediction information regarding future prediction of the biological parameters of the subject based on the subject information for the plurality of types of biological parameters for which the history has been acquired; a screen generation unit that generates a prediction input screen for allowing a user to input the prediction information based on the determined priority; a display control unit that causes a display unit to display the history and the predictive input screen; An information processing device comprising:

3. A history acquisition unit that acquires a history of biological parameters measured for a predetermined subject; a screen generating unit that generates a prediction input screen for allowing a user to input prediction information regarding future prediction of the biological parameter of the subject based on the acquired history; a display control unit that causes a display unit to display the history and the predictive input screen; Equipped with The screen generation unit determines at least a part of the predictive information based on the history, and generates the predictive input screen on which the determined predictive information is input in advance.

4. A history acquisition unit that acquires a history of biological parameters measured for a predetermined subject; a subject information acquiring unit that acquires subject information including at least one of a condition of the subject and a treatment plan for the subject; a screen generating unit that generates a prediction input screen for allowing a user to input prediction information regarding future prediction of the biological parameter of the subject based on the acquired subject information; a display control unit that causes a display unit to display the history and the predictive input screen; Equipped with The screen generator determines at least a portion of the prediction information based on the subject information, and generates the prediction input screen on which the determined prediction information is input in advance.

5. a change receiving unit that receives a change to the predictive input screen from the user; 5. The information processing device according to claim 1, wherein the display control unit changes the predictive input screen in response to a change in the predictive input screen.

6. 6. The information processing apparatus according to claim 1, wherein the predictive input screen is configured to allow the predictive information to be input at predetermined time intervals.

7. The information processing apparatus according to claim 6 , further comprising an interpolation unit that interpolates the predicted information for other dates and times based on the predicted information for some dates and times input by the user.

8. 8. The information processing device according to claim 1, wherein the display control unit further causes the display unit to display a comment input screen on which information related to the prediction information can be input.

9. The information processing apparatus according to claim 3 , further comprising a subject information acquiring unit that acquires subject information including at least one of a condition of the subject and a treatment plan for the subject.

10. the history acquisition unit acquires the history of each of the plurality of types of biological parameters; The information processing apparatus according to claim 4 , wherein the screen generator generates the prediction input screen on which the prediction information of any one of the plurality of types of biological parameters can be input.

11. a determination unit that determines a priority of input of the prediction information based on at least one of the subject information and the history for the plurality of types of biological parameters for which the history has been acquired; The information processing apparatus according to claim 10 , wherein the screen generation unit generates the predictive input screen based on the determined priority.

12. The information processing apparatus according to claim 1 , wherein the screen generation unit generates the predictive input screen on which at least a part of the predictive information is input in advance.

13. an input receiving unit that receives input of the prediction information from the user; 13. The information processing device according to claim 1, wherein the display control unit causes the display unit to display the predicted information input by the user.

14. 14. The information processing device according to claim 1, wherein the display control unit further causes the display unit to display measurement information relating to the biological parameters measured at a date and time corresponding to the prediction information.

15. An information processing device according to any one of claims 1 to 14, further comprising an alarm unit that notifies when a difference between the prediction information and measurement information relating to the biological parameters measured at the date and time corresponding to the prediction information exceeds a predetermined difference.

16. 16. The information processing apparatus according to claim 1, wherein the prediction information is stored in a storage unit in association with information about an input date and time when the user inputs the prediction information.

17. a sensor for measuring a biological parameter; An information processing device according to any one of claims 1 to 16. An information processing system comprising:

18. acquiring a history of each of a plurality of types of biological parameters measured for a predetermined subject; determining a priority of input of prediction information regarding future prediction of the biological parameters of the subject based on the history for the plurality of types of biological parameters for which the history has been acquired; generating a prediction input screen for prompting a user to input the prediction information based on the determined priority; displaying the history and the predictive input screen on a display unit; An information processing method including:

19. Obtaining a history of each of a plurality of types of biological parameters measured for a predetermined subject; acquiring subject information including at least one of a condition of the subject and a treatment plan for the subject; determining a priority of input of prediction information regarding future prediction of the biological parameters of the subject based on the subject information for the plurality of types of biological parameters for which the history has been acquired; generating a prediction input screen for prompting a user to input the prediction information based on the determined priority; displaying the history and the predictive input screen on a display unit; An information processing method including:

20. Obtaining a history of measured biometric parameters for a given subject; generating a prediction input screen for allowing a user to input prediction information regarding future predictions of the biological parameters of the subject based on the acquired history; displaying the history and the predictive input screen on a display unit; Including, An information processing method in which generating the predictive input screen includes determining at least a portion of the predictive information based on the history, and generating the predictive input screen on which the determined predictive information has been input in advance.

21. Obtaining a history of measured biometric parameters for a given subject; acquiring subject information including at least one of a condition of the subject and a treatment plan for the subject; generating a prediction input screen for allowing a user to input prediction information regarding future prediction of the biological parameter of the subject based on the acquired subject information; displaying the history and the predictive input screen on a display unit; Including, An information processing method in which generating the predictive input screen involves determining at least a portion of the predictive information based on the subject information, and generating the predictive input screen with the determined predictive information pre-entered.

22. A program for causing a computer to execute the information processing method according to any one of claims 18 to 21.

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