Management device, management method, and program
The management device addresses the challenge of real-time patient monitoring and nurse allocation in hospital wards by using data on medical staff interactions with patients to evaluate monitoring scores and alert on deviations, thereby ensuring effective patient care and a safe medical system.
Patent Information
- Application Number
- JP2023201317
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-11-29
- Publication Date
- 2025-06-10
AI Technical Summary
In hospital wards, nurse leaders face challenges in real-time monitoring of patient conditions and optimizing nurse allocation, leading to potential biases in nurse distribution and impacts on patient health management.
A management device equipped with an acquisition unit to gather data on the distance and time a medical worker spends with a patient, an evaluation unit to assess a monitoring score based on this data, and an output unit to alert on monitoring status deviations from set thresholds.
This solution enables effective monitoring of patient care by medical staff, ensuring a safe medical system by providing real-time alerts and optimizing nurse allocation based on patient needs.
Smart Images

Figure 2025086987000001_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a management device, a management method, and a program.
Background Art
[0002] In a hospital ward, a large number of patients are admitted for treatment and care. The hospital ward has patient beds, rooms, and a nursing station, and medical staff such as doctors and nurses are arranged for each floor or area to manage the health status of patients and provide treatment facilities.
[0003] Nurse leaders, who are in a position to manage nurses, are required to continuously grasp the overall situation of the hospital ward floor in real time and allocate the work of each nurse considering overall optimization, but the burden of such judgment is large. In particular, in a large floor where it is difficult to keep an eye on every corner, it is not easy to allocate nurses without bias, and if there is a bias in nurse allocation, it will affect the management of the health status of patients.
[0004] Patent Document 1 aims to eliminate the shortage of human resources of nurses and enable appropriate nursing work even when unexpected nurse calls occur frequently. When unexpected nurse calls occur frequently within a unit time, for example, when the number of occurrences exceeds a predetermined threshold, it is detected based on the history information and a nurse dispatch request message is output to encourage the dispatch of nurses and eliminate the shortage of human resources so that appropriate nursing work can be carried out. A nurse dispatch management system is disclosed.
Prior Art Documents
Patent Documents
[0005]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0006] However, rather than dealing with the increasing number of nurse calls, it is essentially required to enable nurses to monitor the patient's condition in order to manage the patient's health status.
[0007] The present invention has been made in view of the above problems, and an object thereof is to provide a management device, a management method, and a program that can appropriately grasp the monitoring status of a patient by a nurse and ensure a safe medical system.
Means for Solving the Problems
[0008] That is, the present invention is as follows. 〔1〕 An acquisition unit that acquires information regarding the distance between a medical worker and a patient and / or information regarding the time during which the medical worker faces the patient side, An evaluation unit that evaluates a monitoring score indicating the monitoring status of the patient based on the information acquired by the acquisition unit, Management device. 〔2〕 The evaluation unit determines whether the medical worker is monitoring the patient based on the information acquired by the acquisition unit, and evaluates the monitoring score based on the determination result. The management device according to 〔1〕. 〔3〕 The evaluation unit determines that the medical worker is monitoring the patient when the distance indicated by the information regarding the distance between the medical worker and the patient is less than a predetermined value, or when the time indicated by the information regarding the time facing the patient side is greater than a predetermined value. The management device according to 〔2〕. 〔4〕 It further has an output unit that outputs an alert regarding the monitoring status based on the comparison result between the monitoring score and a threshold value. The management device according to any one of 〔1〕 to 〔3〕. 〔5〕 It further has a threshold setting unit that sets the threshold value for each patient or for each predetermined section where the patient is located. The management device according to [4]. [6] The threshold setting unit sets the threshold for each patient based on the medical information of the patient. The management device according to [5]. [7] Based on the information regarding the distance and / or the information regarding the time, the evaluation unit increases the monitoring score when it can be determined that the medical staff is monitoring the patient, and decreases the monitoring score when it cannot be determined that the medical staff is monitoring the patient, thereby evaluating the monitoring score. The management device according to any one of [1] to [6]. [8] The management device further includes an output unit that outputs an alert regarding the monitoring state based on a comparison result between the monitoring score and the threshold. When the monitoring score is less than the first threshold, the output unit outputs a first alert as an alert regarding the monitoring state. The management device according to [7]. [9] When the state where the monitoring score is between the first threshold and the second threshold continues for a predetermined time or more, the output unit outputs a second alert different from the first alert as an alert regarding the monitoring state. The management device according to [8].
[10] The management device further includes an output unit that outputs the monitoring score. The output unit outputs the monitoring score as time-series data. The management device according to any one of [1] to [9].
[11] When a plurality of patients are monitoring targets, The evaluation unit evaluates the monitoring score for the patient closest to the medical staff. The management device according to any one of [1] to
[10] .
[12] When a plurality of patients are monitoring targets, The evaluation unit evaluates the monitoring score for a plurality of the patients facing the direction in which the medical staff is facing. The management device according to any one of [1] to
[11] .
[13] The management device further includes a prediction unit that predicts a future monitoring score for each individual patient or for each predetermined section according to the work schedule of the medical staff. The management device according to any one of [1] to
[12] .
[14] The prediction unit predicts a time zone in which the monitoring score becomes less than a third threshold value. The management device according to
[13] .
[15] The management device performs a step of acquiring information regarding the distance between a medical staff and a patient and / or information regarding the time during which the medical staff faces the patient side, and a step of evaluating a monitoring score indicating the monitoring state of the patient based on the acquired information. Management method.
[16] The management device is caused to perform a step of acquiring information regarding the distance between a medical staff and a patient and / or information regarding the time during which the medical staff faces the patient side, and a step of evaluating a monitoring score indicating the monitoring state of the patient based on the acquired information. Program.
Effect of the Invention
[0009] According to the present invention, it is possible to provide a management device, a management method, and a program that can appropriately grasp the monitoring situation of a patient by a medical staff and can ensure a safe medical system.
Brief Description of the Drawings
[0010]
Figure 1
Figure 2A
Figure 2B
Figure 2C
Figure 2D
Figure 2E
Figure 2F
Figure 2G
Figure 3A
Figure 3B
Mode for Carrying Out the Invention
[0011] Hereinafter, embodiments of the present invention (hereinafter referred to as "the present embodiment") will be described in detail with reference to the drawings as necessary. However, the present invention is not limited to this, and various modifications are possible without departing from the gist thereof. In the drawings, the same elements will be denoted by the same reference numerals, and duplicate explanations will be omitted. Also, the positional relationships such as up, down, left, and right are based on the positional relationships shown in the drawings unless otherwise specified. Furthermore, the dimensional ratios in the drawings are not limited to the illustrated ratios.
[0012] 1. Management System FIG. 1 shows a schematic diagram showing an example of the management system of the present embodiment. The management system 1 of the present embodiment may include the management device 100 of the present embodiment, the first terminal 200, the second terminal 300, and the sensor 400.
[0013] In FIG. 1, the management device 100 is shown as a server installed inside or outside the hospital, but is not limited thereto. The management device 100 may be a general-purpose computer such as a desktop or laptop installed inside the hospital, such as a nurse station. The management device 100 may be composed of a single computer or may be composed of a plurality of computers on the network N.
[0014] The management device 100 acquires information regarding the distance between medical staff and patients and / or information regarding the time during which medical staff face the patient side via the second terminal 300, the sensor 400, etc., and based on the acquired information, evaluates a monitoring score indicating the monitoring state of the patient.
[0015] Further, when the monitoring score reaches a predetermined value, the management device 100 can output an alert according to the situation. The method of outputting an alert by the management device 100 is not particularly limited. For example, output by a voice output device or an indicator (not shown in FIG. 1), output by transmitting alert information to the first terminal 200 or the second terminal 300, etc. may be mentioned. Here, the indicator is a device for visually conveying specific information to medical staff by displaying the state. For example, a lamp that lights up in a specific color according to the state may be mentioned. The alert information may include information capable of identifying the patient who is the target of the alert. Further, the alert information may include the monitoring score.
[0016] The first terminal 200 is a terminal used by medical staff, and may be a shared terminal installed, for example, in a nurse's station or the like. The first terminal 200 may query the management device 100 for a monitoring score according to the operation of the medical staff, obtain information regarding the monitoring score from the management device 100, and perform display control on the information. Further, the first terminal 200 may perform display control on the alert information received from the management device 100. When the management device 100 is a desktop or the like installed in a hospital such as a nurse's station, the management device 100 may function as the first terminal 200. The first terminal 200 is not particularly limited, and examples thereof include general-purpose computers such as desktop computers and laptop computers.
[0017] The second terminal 300 is also a terminal used by medical staff, and may be, for example, a portable personal terminal lent to each medical staff. The second terminal 300 may receive input and update of the tasks of the medical staff according to the operation of the medical staff, and transmit the input and update to the management device 100. Further, the second terminal 300 may perform display control on the alert information received from the management device 100. Furthermore, the second terminal 300 may receive a help request from the management device 100. The second terminal 300 is not particularly limited, and examples thereof include general-purpose computers such as tablets, smartphones, handheld computer devices, and wearable terminals.
[0018] The sensor 400 is various sensor devices installed in the ward, and may be, for example, an imaging device or a ranging sensor such as a beacon. In addition, the sensor device may further include a sensor that acquires biological information such as a heart rate and blood pressure.
[0019] Hereinafter, the management device 100 of the present embodiment will be described in detail.
[0020] While referring to FIG. 2A, the hardware configuration and functional configuration of the management device 100 will be described. The management device 100 includes, for example, a processor 110, a communication interface 120, an input / output interface 130, a memory 140, a storage 150, and one or more communication buses 160 for interconnecting these components.
[0021] The processor 110 executes the code included in the program stored in the storage 150, or the processes, functions, or methods implemented by the instructions. The processor 110 , by way of non-limiting example, includes one or more central processing units (CPUs), micro processing units (MPUs), graphics processing units (GPUs), microprocessors, processor cores, multiprocessors, application-specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), etc., and may implement each of the processes, functions, or methods disclosed in each embodiment by a logic circuit (hardware) formed in an integrated circuit (IC (Integrated Circuit) chip, large scale integration (LSI)) or a dedicated circuit.
[0022] The processor 110 executes the code included in the program stored in the storage 150, or the processes, functions, or methods implemented by the instructions. As shown in FIG. 2A , the processor 110 of this embodiment may be configured to function as an acquisition unit 111, an evaluation unit 112, an output unit 113, a threshold value setting unit 114, and a prediction unit 115.
[0023] The communication interface 120 transmits and receives various data with other devices via the network N. Such communication may be performed either by wire or wirelessly, and any communication protocol may be used as long as mutual communication can be executed. For example, the communication interface 120 is implemented as hardware such as a network adapter, various communication software, or a combination thereof.
[0024] The network N may be, by way of example and not limitation, an Ad Hoc Network, an intranet, an extranet, a Virtual Private Network (VPN), a Local Area Network (LAN), a Wireless LAN (WLAN), a Wide Area Network (WAN), a Wireless WAN (WWAN), a Metropolitan Area Network (MAN), a part of the Internet, a part of the Public Switched Telephone Network (PSTN), a mobile phone network, ISDNs (Integrated Service Digital Networks), wireless LANs, LTE (Long Term Evolution), CDMA (Code Division Multiple Access), Bluetooth (registered trademark), satellite communication, etc., and these may be combined. The network can include one or more networks.
[0025] The input / output interface 130 includes an input device for inputting various operations to the management device 100 and an output device for outputting the processing results processed by the management device 100. For example, the input / output interface 130 includes information input devices such as a keyboard, a mouse, and a touch panel, and information output devices such as a display. Note that the management device 100 may receive a predetermined input or execute a predetermined output by connecting an external input / output interface 130. In the example shown in FIG. 1, the sensor 400 may be an external information input device, and the first terminal 200 and the second terminal 300 may be external information output devices.
[0026] The memory 140 temporarily stores the program loaded from the storage 150 and provides a working area for the processor 310. Various data generated while the processor 110 is executing the program are also temporarily stored in the memory 1 40. The memory 1 40 may be, for example, a high-speed random access memory such as a DRAM, an SRAM, a DDR RAM, or other random access solid state storage device, and these may be combined.
[0027] The storage 150 stores programs, each functional unit, and various data. The storage 150 may be, for example, one or more magnetic disk storage devices, optical disk storage devices, flash memory devices, or other non-volatile memories such as non-volatile solid state storage devices, and these may be combined. Another example of the storage 150 may include one or more storage devices installed remotely from the processor 310.
[0028] The data recorded by the storage 150 is not particularly limited, and examples include management data 151, patient data 152, and task data 153. These data will be described later.
[0029] The acquisition unit 111 may acquire information regarding the distance between a medical staff member and a patient (hereinafter also simply referred to as "information regarding distance") and information regarding the time during which the medical staff member faces the patient side (hereinafter also simply referred to as "information regarding time") as information indicating the frequency of monitoring of the patient by the medical staff member. The acquisition unit 111 may acquire both the information regarding distance and the information regarding time, or may acquire either one of them.
[0030] FIG. 2B shows a schematic diagram for explaining the monitoring state. The method for acquiring information regarding the distance between a medical staff member and a patient is not particularly limited. For example, the acquisition unit 111 may acquire information regarding the distance between a medical staff member and a patient by means of a beacon 401 which is a kind of sensor 400 and the second terminal 300. Note that the method for distance measurement is not limited to the above, and a conventionally known method can be appropriately adopted.
[0031] Specifically, when a beacon 401 serving as a Bluetooth transceiver is installed as the sensor 400 on the patient's hospital bed (for example, beside the bed), the second terminal 300 can measure the distance from the sensor 400 based on the radio wave intensity. In this way, information regarding the distance between a medical staff member and a patient can be acquired by the second terminal 300 which is the personal terminal of the medical staff member and a plurality of beacons 401 installed in the hospital. At this time, the information regarding distance may be acquired from the second terminal 300 or from the sensor 400. Note that it is also possible that the medical staff member carries a beacon and places a terminal such as a tablet on the patient's hospital bed. In this case, alert information may be displayed on the terminal placed on the patient's hospital bed, or may be displayed on another terminal that can be browsed by a nurse.
[0032] Moreover, the following methods can be mentioned as methods for acquiring information regarding the time during which a medical staff member faces the patient side. However, the method for distance measurement is not limited to the following, and a conventionally known method can be appropriately adopted.
[0033] For example, as information regarding the time when a medical staff member is facing the patient side, the acquisition unit 111 may acquire a captured image of the medical staff member by an imaging device 402, which is a type of sensor 400. Then, based on the acquired imaging information, the acquisition unit 111 identifies the medical staff member shown in the imaging information, identifies the direction in which the face, line of sight, or body, etc. is facing, and executes a process of identifying the patient located ahead in that direction. Then, the acquisition unit 111 may acquire the above-mentioned information regarding the time by measuring the time when the medical staff member is facing the patient side.
[0034] At this time, in addition to the imaging information, the acquisition unit 111 may refer to information regarding the installation position of the imaging device 402, information regarding the orientation of the imaging device 402, and information regarding the position of the patient on the floor. By considering, in addition to the direction in which the medical staff member identified from the imaging information is facing, the information regarding the installation position of the imaging device 402 and the information regarding the orientation of the imaging device 402, it is possible to identify from which position on the floor and in which direction the medical staff member is facing. Further, by considering the information regarding the position and orientation of the medical staff member on the floor thus identified and the information regarding the position of the patient on the floor, it is possible to identify the patient located ahead of the direction in which the medical staff member is facing. Also, when there is an object that blocks the line of sight, such as a wall installed on the floor, at this time, patients located behind the object that blocks the line of sight may be excluded as not being faced by the medical staff member.
[0035] Note that, without being limited to this, information regarding distance or time may be manually input by the medical staff member into the first terminal 200 or the second terminal 300, and the acquisition unit 111 may acquire it via the network N.
[0036] The evaluation unit 112 evaluates a monitoring score indicating the monitoring status of the patient based on the information acquired by the acquisition unit 111. More specifically, the evaluation unit 112 may determine whether a medical staff is monitoring the patient based on the information acquired by the acquisition unit 111, and evaluate the monitoring score based on the determination result. Here, if the information acquired by the acquisition unit 111 includes both distance-related information and time-related information, the monitoring score may be evaluated based on both. If it is only one of the distance-related information and the time-related information, the monitoring score may be evaluated based on that one.
[0037] The evaluation unit 112 may determine that the medical staff is monitoring the patient when the distance indicated by the distance-related information between the medical staff and the patient is less than a predetermined value, or when the time indicated by the time-related information facing the patient side is greater than a predetermined value.
[0038] Fig. 2C shows a diagram displaying the monitoring score in time series. As shown in Fig. 2C, the evaluation unit 112 may increase the score when it can be determined that the medical staff is monitoring the patient based on the distance-related information and / or the time-related information, and decrease the score when it cannot be determined that the medical staff is monitoring the patient, thereby evaluating the monitoring score. In this case, it can be understood that the higher the monitoring score, the more medical care is provided to the patient.
[0039] In addition, the evaluation unit 112 may increase a larger score as the distance indicated by the distance-related information is closer, or may increase a larger score as the time indicated by the time-related information is longer. Furthermore, the evaluation unit 112 may increase the score by combining the distance-related information and the time-related information. As an example, when a medical staff is watching a patient near the patient (e.g., 1 m) for a long time (e.g., 5 minutes), it may be 10 points; when a medical staff is watching a patient near the patient for a short time (e.g., 30 seconds), it may be 5 points; when a medical staff is watching a patient far from the patient (e.g., 5 m) for a short time (e.g., 10 seconds), the score may be increased like 1 point.
[0040] Also, as a specific mode of decreasing the score, when a medical staff member is not near the patient and not facing the patient for a certain period of time, if it is determined that the medical staff member cannot monitor the patient, the score may be decreased. For example, it may be decreased by 1 point every 10 minutes or 30 minutes.
[0041] Also, conversely to the above increase and decrease, the evaluation unit 112 may evaluate the monitoring score by increasing the score when it can be determined that the medical staff member is monitoring the patient and decreasing the score when it cannot be determined that the medical staff member is monitoring the patient.
[0042] The evaluation unit 112 may continuously or intermittently evaluate the monitoring score and record it in the management data 151 as time-series data. An example of the management data 151 is shown in FIG. 2D. In the management data 151, the evaluation unit 112 may record the monitoring score, or the acquisition unit 111 may record the information related to the distance and the information related to the time.
[0043] In the management data 151, the "management ID" is an identifier for uniquely identifying the monitoring data. The "date and time" records the date and time of measurement, and the "monitoring target" may record the target to which the monitoring score is assigned, such as for each patient or each ward. For example, the "monitoring target" may include the "patient ID" described later. Information regarding the first color phase and the second color phase may be recorded, and information regarding the corrected second color phase may be recorded as needed. Also, the "current and past monitoring scores" may record the time-series data of the monitoring scores, and the "information related to the distance and the information related to the time" may record the information related to the distance and the information related to the time acquired by the acquisition unit 111. Furthermore, the "future monitoring score" may record the transition of the future monitoring score predicted by the prediction unit 115 described later.
[0044] In addition, there are multiple patients on the floors and in the rooms of an actual medical ward, and in some cases, it may be required to monitor each of these multiple patients. In such a case, for example, although medical staff in the room are in close proximity to all of the multiple patients to a certain extent, in reality, the medical staff do not monitor all of the multiple patients simultaneously. Therefore, when the acquisition unit 111 monitors multiple patients, it may acquire information regarding distance for the patient closest to the medical staff. Alternatively, when the evaluation unit 112 monitors multiple patients, it may evaluate the monitoring score for the patient closest to the medical staff.
[0045] Furthermore, when the acquisition unit 111 monitors multiple patients, it may acquire information regarding time for one or more patients in the direction the medical staff is facing, and the evaluation unit 112 may evaluate the monitoring score for one or more patients in the direction the medical staff is facing. That is, the acquisition unit 111 evaluates the monitoring score only for one or more patients in the direction the medical staff is facing, and does not evaluate the monitoring score for one or more patients not in the direction the medical staff is facing.
[0046] The output unit 113 may output an alert regarding the monitoring state based on the comparison result between the monitoring score and the threshold value. The method of outputting the alert is not particularly limited, and examples include output by a voice output device or an indicator lamp, and output by transmitting alert information to the first terminal 200 or the second terminal 300.
[0047] Figure 2C shows a diagram depicting the monitoring score over time when the monitoring score is evaluated by increasing the score when it can be determined that the medical staff is monitoring a patient and decreasing the score when it cannot be determined that the medical staff is monitoring a patient. Therefore, the higher the monitoring score, the better the medical staff is caring for the patient, and the lower the monitoring score, the lower the frequency of the medical staff's care. In Figure 2C, a second threshold value and a first threshold value are provided at positions where the monitoring score is 11pt and 3pt, respectively.
[0048] Here, as shown in FIG. 2C, when the monitoring score is less than the first threshold, the output unit 113 may output a first alert as an alert regarding the monitoring state. Thereby, it is possible to notify, by the first alert, a patient or the like whose monitoring score is considerably low and who should be monitored promptly. The first alert may have a meaning of notifying a medical staff of a patient with a low monitoring score and requesting monitoring.
[0049] Also, as shown in FIG. 2C, when a state where the monitoring score is less than a second threshold greater than the first threshold continues for a predetermined time or more, the output unit 113 may output a second alert different from the first alert as an alert regarding the monitoring state. Thereby, although it is not necessary to start monitoring promptly, it is possible to identify a patient who is left in a state with a low monitoring score and notify the medical staff by the second alert. The second alert may have a meaning of notifying a medical staff that a patient with a continuously low monitoring score for a certain time is a target for recommended monitoring.
[0050] As shown in FIG. 2C, the output unit 113 may output the monitoring score as time-series data. Thereby, the displacement of the monitoring score can be understood more visually.
[0051] Note that at the initial stage of the monitoring score, due to reasons such as insufficient information regarding the distance and time acquired by the acquisition unit 111, it is assumed that the monitoring score is low and falls below a first threshold or the like, and the output unit 113 outputs an unnecessary alert. From the viewpoint of avoiding this, the acquisition unit 111 may set a value exceeding a threshold such as the first threshold as the initial value of the monitoring score. Alternatively, the output unit 113 may not compare the monitoring score with the threshold for a predetermined time from the start of monitoring.
[0052] The threshold setting unit 114 may set a threshold value for each patient or for each predetermined section where the patient is located. Here, the section may be an arbitrarily determined area, such as a hospital room or a floor, or two or more hospital rooms may be regarded as one section, or one hospital room may be divided into multiple sections. The difference in sections may indicate, for example, the difference in treatment facilities such as a high-care unit (HCU) or an intensive care unit (ICU).
[0053] In addition, the threshold setting unit 114 may set a threshold value for each patient based on the medical information of the patient. More specifically, the threshold setting unit 114 may set a threshold value according to the severity of the patient. For example, for a patient with a high severity, in order to monitor more frequently, the threshold value can be set so that an alert is easily output. For a sedated patient who does not need to increase the monitoring frequency, the threshold value can be set so that an alert is not output even when the monitoring score is low. Note that the storage 150 may store information on whether each patient is in a sedated state. Whether the patient is in a sedated state may be determined from the administration information of the sedative stored in the storage 150. For example, the time during which the sedated state is maintained with respect to the administration amount of the sedative is associated and stored in the storage 150. The threshold setting unit 114 may acquire information on whether the patient is in a sedated state from the storage 150 and set the threshold value. Alternatively, a medical staff member may set the threshold value.
[0054] FIG. 2E shows an example of patient data 152 as an example of the medical information of a patient. In the patient data 152, "patient ID" is an identifier for uniquely identifying a patient. In "condition / severity", medical information such as the severity and condition input by medical staff from the first terminal 200 or the second terminal 300 may be recorded. In "first threshold / second threshold", the first threshold and the second threshold may be recorded. The first threshold and the second threshold recorded here may be those set by the threshold setting unit 114 for each patient. Thereby, the evaluation unit 112 may evaluate the monitoring score with reference to the first threshold and the second threshold set for each patient recorded in the patient data 152.
[0055] The prediction unit 115 may predict future monitoring scores for each individual patient or for each predetermined section according to the work schedule of medical staff. Medical staff have various tasks, and not all of their working hours can be used for patient monitoring. Therefore, by considering the work schedule of medical staff, it is possible to grasp the timing when the number of medical staff capable of monitoring patients decreases, and at that time, it is possible to predict how the monitoring scores will change or decrease for each individual patient or for each predetermined section.
[0056] FIG. 2F shows an example of task data 153 of medical staff as an example of the work schedule of medical staff. In the task data 153, "nurse ID" is an identifier for uniquely identifying a nurse. The "work schedule" may record the current, past, and future tasks and scheduled arrival and departure times of medical staff input by the medical staff from the first terminal 200 or the second terminal 300. The "assigned scope" may record information regarding the patients and / or sections to be monitored by the medical staff. Thereby, the prediction unit 115 can also predict whether the future monitoring score will decrease in which section.
[0057] For example, the prediction unit 115 may obtain past information with similar work schedules and / or scope of responsibility from the storage 150, and predict future monitoring scores based on the time-series changes of the monitoring scores associated with the past information. For example, the prediction unit 115 may obtain information on past work schedules similar to future work schedules from the storage 150, and predict future monitoring scores by adding and subtracting the time-series changes of the monitoring scores associated with the past work schedule information based on the current monitoring score. Further, the storage 150 may further store at least one of the number of past medical staff, the number of years of experience of medical staff, the number of patients, symptoms such as the severity of patients, and the work schedules of other medical staff. The prediction unit 115 may obtain information on past on-site situations similar to the current on-site situation of the number of medical staff and / or the number of patients from the storage 150, and use the time-series changes of the monitoring scores associated with the past on-site situations for predicting future monitoring scores. Note that the prediction unit 115 may obtain not only the number of medical staff but also past information with similar years of experience for estimating future monitoring scores. Also, the prediction unit 115 may obtain not only the number of patients but also past information with similar symptoms such as severity for estimating future monitoring scores. Furthermore, the prediction unit 115 may obtain past information with similar work schedules of other medical staff for estimating future monitoring scores.
[0058] FIG. 2G shows a diagram for explaining the prediction of the monitoring score. In FIG. 2G, the current is indicated by a dashed line, and the left side thereof indicates the predicted value of the future monitoring score. The prediction unit 115 may predict the time period when the monitoring score exceeds the third threshold value. Thereby, it can be known that the future monitoring score predicted by the prediction unit 115 becomes low, for example, from around 20:00 to around 22:00. Thereby, it can be known that it is better to secure personnel during this time period in order to ensure a safe medical system.
[0059] Further, the prediction unit 115 may output the transition of the monitoring score when it is assumed that the medical staff takes a break, a sudden call occurs, or the medical staff participates in a help request to another medical staff, etc., during the time period when the monitoring score decreases or when the monitoring score is normal.
[0060] Furthermore, the prediction unit 115 may predict and notify the time period when the patient monitoring becomes sparse based on the scheduled work of each nurse, the time required for the work, and the past arrangement information of the actions related to the work.
[0061] 2. Operation processing The management method of the present embodiment may include a step in which the management device 100 acquires information regarding the distance between the medical staff and the patient and / or information regarding the time during which the medical staff faces the patient side, and a step in which the monitoring score indicating the monitoring state of the patient is evaluated based on the information acquired by the acquisition unit.
[0062] FIG. 3A shows a flowchart of the evaluation process of the current monitoring score and the processes related thereto. Hereinafter, the operation of the management device 100 will be described with reference to the flowchart shown in FIG. 3A.
[0063] In step S01, the threshold setting unit 114 sets thresholds such as a first threshold, a second threshold, or a third threshold. The thresholds may be set for each arbitrary section such as for each patient or for each room.
[0064] In step S02, the acquisition unit 111 acquires information regarding the distance between the medical staff and the patient or information regarding the time during which the medical staff faces the patient side. In step S03, the evaluation unit 112 evaluates the monitoring score indicating the monitoring state based on the acquired information.
[0065] Then, in steps S04 to S07, the output unit 113 outputs an alert regarding the monitoring status based on the comparison result between the monitoring score and the threshold value. Specifically, in steps S04 and S05, when the state of being less than the second threshold value continues for a predetermined time or more, the output unit 113 outputs a second alert, and then the process of step S02 is looped. Also, in steps S06 and S07, when the monitoring score becomes less than the first threshold value, the output unit 113 outputs a first alert, and then the process of step S02 is looped. Further, when the monitoring score does not exceed both the first threshold value and the second threshold value, the processes of steps S02 and S03 may be looped. Thereby, it is possible to evaluate in parallel whether the first threshold value and the second threshold value are exceeded or not.
[0066] Thereby, medical staff can appropriately grasp the monitoring status of each patient via the first terminal 200, the second terminal 300, or an indicator provided on the patient's bed or the like, and a safe medical system can be ensured.
[0067] Next, FIG. 3B shows a flowchart of the prediction process of the future monitoring score and the related processes. Hereinafter, the operation of the management device 100 will be described with reference to the flowchart shown in FIG. 3B. Note that steps S01 to S03 in FIG. 3B can be processed in the same manner as in FIG. 3A, and thus the description thereof will be omitted.
[0068] In step S08, the prediction unit 115 predicts a future monitoring score based on the work schedule of medical staff. Then, in step S09, the prediction unit 115 predicts the time zone when the future monitoring score exceeds the third threshold value. Finally, in step S10, the output unit 113 may output the prediction result.
[0069] The future monitoring scores and prediction results of time periods exceeding the third threshold output in this way can be utilized as a simulation of the impact on the patient's monitoring status when the nurse leader distributes various tasks to each nurse. Therefore, at the time of task distribution, the nurse leader can avoid task distributions that would cause a significant drop in the future monitoring score and avoid task distributions that would result in time periods exceeding the third threshold, thereby ensuring a safe medical system.
[0070] 3. Program The program of this embodiment causes the management device 100 to execute steps of acquiring information regarding the distance between medical staff and patients and / or information regarding the time during which medical staff face the patient side, and evaluating a monitoring score indicating the patient's monitoring status based on the information acquired by the acquisition unit.
[0071] The program may be a thing recorded on a readable recording medium. Note that since the specific modes of the processes executed by the program of this embodiment are described in the above operation processes, detailed descriptions are omitted here.
Industrial Applicability
[0072] The present invention has industrial applicability as a management device that can appropriately grasp the patient's monitoring status and ensure a safe medical system.
Explanation of Signs
[0073] 1... Management system, 100... Management device, 110... Processor, 111... Acquisition unit, 112... Evaluation unit, 113... Output unit, 114... Threshold setting unit, 115... Prediction unit, 120... Communication interface, 130... Input / output interface, 140... Memory, 150... Storage, 151... Management data, 152... Patient data, 153... Task data, 160... Communication bus, 200... First terminal, 300... Second terminal, 310... Processor, 400... Sensor, 401... Beacon, 402... Imaging device
Claims
1. An acquisition unit that acquires information regarding the distance between a medical worker and a patient and / or information regarding the time during which the medical worker faces the patient side; An evaluation unit that evaluates a monitoring score indicating the monitoring state of the patient based on the information acquired by the acquisition unit, A management device.
2. The evaluation unit determines whether the medical worker is monitoring the patient based on the information acquired by the acquisition unit, and evaluates the monitoring score based on the determination result. The management device according to Claim 1.
3. The evaluation unit determines that the medical worker is monitoring the patient when the distance indicated by the information regarding the distance between the medical worker and the patient is less than a predetermined value, or when the time indicated by the information regarding the time facing the patient side is greater than a predetermined value. The management device according to Claim 2.
4. The management device according to Claim 1, further comprising an output unit that outputs an alert regarding the monitoring state based on a comparison result between the monitoring score and a threshold value. The management device according to Claim 1.
5. The management device according to Claim 4, further comprising a threshold setting unit that sets the threshold value for each patient or for each predetermined section where the patient is located. The management device according to Claim 4.
6. The threshold setting unit sets the threshold value for each patient based on the medical information of the patient. The management device according to Claim 5.
7. The evaluation unit increases the monitoring score when it can be determined that the medical worker is monitoring the patient based on the information regarding the distance and / or the information regarding the time, and decreases the monitoring score when it cannot be determined that the medical worker is monitoring the patient, thereby evaluating the monitoring score. The management device according to Claim 1.
8. The management device according to Claim 7, further comprising an output unit that outputs an alert regarding the monitoring state based on a comparison result between the monitoring score and a threshold value. The output unit outputs a first alert as the alert regarding the monitoring state when the monitoring score becomes less than a first threshold value. The management device according to Claim 7.
9. The output unit outputs a second alert different from the first alert as the alert regarding the monitoring state when a state where the monitoring score is less than a second threshold value greater than the first threshold value continues for a predetermined time or more. The management device according to Claim 8.
10. The management device according to Claim 8, further comprising an output unit that outputs the monitoring score. The output unit outputs the monitoring score as time-series data. The management device according to Claim 8, further comprising an output unit that outputs the monitoring score. The output unit outputs the monitoring score as time-series data. The management device according to claim 1.
11. When a plurality of patients are monitoring targets, the evaluation unit evaluates the monitoring score for the patient closest to the medical staff. The management device according to claim 1.
12. When a plurality of patients are monitoring targets, the evaluation unit evaluates the monitoring score for the plurality of patients in the direction the medical staff is facing. The management device according to claim 1.
13. The management device further includes a prediction unit that predicts a future monitoring score for each individual patient or for each predetermined section according to the work schedule of the medical staff. The management device according to claim 1.
14. The prediction unit predicts a time period when the monitoring score exceeds a third threshold value. The management device according to claim 13.
15. The management device performs steps of acquiring information on the distance between the medical staff and the patient and / or information on the time the medical staff faces the patient side, and evaluating a monitoring score indicating the monitoring state of the patient based on the acquired information. Management method.
16. On the management device perform steps of acquiring information on the distance between the medical staff and the patient and / or information on the time the medical staff faces the patient side, and causing to evaluate a monitoring score indicating the monitoring state of the patient based on the acquired information. Program.
Citation Information
Patent Citations
Nurse dispatch management system
JP2014119868A