Nursing management device, nursing management method, and program

Abstract

To efficiently share knowledge related to nursing practice. [Solution] The nursing management device according to the embodiment comprises an acquisition unit, a task generation unit, an extraction unit, and an output unit. The acquisition unit acquires nursing records, which are records of multiple nursing tasks performed. The task generation unit generates tasks, which are nursing tasks to be performed, based on the acquired nursing records. The extraction unit extracts the differences between at least some of the nursing tasks performed by nurses included in the nursing records and the nursing tasks to be compared, as feature points for each type of nursing task. The output unit outputs the feature points in association with tasks related to the nursing tasks from which the feature points were extracted.

Description

Technical Field

[0001] The embodiments disclosed in this specification and the drawings relate to a nursing management device, a nursing management method, and a program.

Background Art

[0002] Conventionally, in the systematization of nurses' work, there are known a function of nursing records for inputting the nursing work performed by nurses and a technique for registering matters to be passed on to other nurses who will be in charge next.

[0003] Generally, even for patients with the same disease, differences may occur in the content implemented depending on the proficiency of the assigned nurse, etc. Such differences include those that are beneficial as findings. Such differences also occur in nursing records, but it may be difficult to identify such differences from past nursing records and appropriately share them with other nurses. Also, as matters to be passed on to other nurses, the findings of the assigned nurse may be described, but the sharing destination of the information is limited to the recipient of the message. Also, manually describing such matters to be passed on places a high workload on nurses.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] One of the problems to be solved by the embodiments disclosed in this specification and the drawings is to efficiently share knowledge related to nursing work. However, the problems to be solved by the embodiments disclosed in this specification and the drawings are not limited to the above problems. The problems corresponding to the respective effects of each configuration shown in the embodiments described later can also be positioned as other problems.

Means for Solving the Problems

[0006] The nursing management device according to this embodiment comprises an acquisition unit, a task generation unit, an extraction unit, and an output unit. The acquisition unit acquires nursing records, which are records of multiple nursing tasks that have been performed. The task generation unit generates tasks, which are nursing tasks to be performed, based on the acquired nursing records. The extraction unit extracts the differences between at least some of the nursing tasks performed by nurses included in the nursing records and the nursing tasks to be compared, as feature points for each type of nursing task. The output unit outputs the feature points in association with tasks related to the nursing tasks from which the feature points were extracted. [Brief explanation of the drawing]

[0007] [Figure 1] Figure 1 is a block diagram showing an example of the configuration of a medical information processing system according to the first embodiment. [Figure 2] Figure 2 shows an example of various nursing-related tasks that are targeted by the nursing management device according to the first embodiment. [Figure 3] Figure 3 shows an example of characteristic features for each type of nursing action according to the first embodiment. [Figure 4] Figure 4 is a flowchart showing an example of the process flow for creating nursing schedules and assigning nursing responsibilities, which is performed by the nursing management device according to the first embodiment. [Figure 5] Figure 5 is a flowchart showing an example of the processing flow for prior notification of tasks performed by the nursing management device according to the first embodiment. [Figure 6] Figure 6 shows an example of the sequence of the five processes in a typical nursing process. [Figure 7] Figure 7 is a block diagram showing an example of the configuration of a medical information processing system according to the second embodiment. [Figure 8] Figure 8 shows an example of various nursing-related tasks that are targeted by the nursing management device according to the second embodiment. [Figure 9]Figure 9 is a flowchart showing an example of the process flow for evaluating and assessing the degree of achievement of nursing plan goals, as performed by the nursing management device according to the second embodiment. [Modes for carrying out the invention]

[0008] The following describes in detail the embodiments of the nursing management device, nursing management method, and program, with reference to the drawings.

[0009] (First Embodiment) Figure 1 is a block diagram showing an example of the configuration of a medical information processing system S according to the first embodiment. As shown in Figure 1, the medical information processing system S includes a nursing management device 100, a user terminal 200, an electronic medical record system 300, and a medical information system 400. The nursing management device 100 is connected to the medical information system 400 via a network 500 such as an in-hospital LAN (Local Area Network). The medical information processing system S is installed, for example, in a hospital.

[0010] The medical information system 400 stores and manages medical information. The medical information stored in the medical information system 400 includes information about medical professionals such as nurses. This information includes, for example, identification information that can identify each nurse, the nurse's years of experience or years of service, job title, and attendance schedule. The medical information system 400 may also be, for example, a hospital information system (HIS), a laboratory information system (LIS), a radiology information system (RIS), or a medical image storage device. Furthermore, the medical information system 400 may include multiple of the above systems and devices. The medical information system 400 may be composed of one or more servers or PCs (personal computers).

[0011] The electronic medical record system 300 stores, for example, electronic medical record information about a patient. This electronic medical record information includes identifying information that can identify the patient, the patient's diagnosis, symptoms, treatment history, etc. The electronic medical record system 300 may be composed of one or more servers or PCs.

[0012] The user terminal 200 is a terminal used by the user, and is, for example, a PC, or a portable tablet or smartphone or other mobile device. The user terminal 200 is connected to the nursing management device 100 for communication, for example, by wireless communication. In this embodiment, the user is, for example, a nurse. Although Figure 1 shows one user terminal 200, the medical information processing system S may be equipped with user terminals 200 equal to the number of nurses.

[0013] The nursing management device 100 is, for example, an information processing device such as a server or a PC, and includes an NW (network) interface 110, a memory circuit 120, an input interface 130, a display 140, and a processing circuit 150. The nursing management device 100 may also be called a nursing support device or a nursing work support device.

[0014] The NW interface 110 is connected to the processing circuit 150 and controls the transmission and communication of various data between the nursing management device 100, the user terminal 200, the electronic medical record system 300, and the medical information system 400. The NW interface 110 is implemented by a network card, network adapter, NIC (Network Interface Controller), etc.

[0015] The memory circuit 120 pre-stores various types of information used by the processing circuit 150. Also, the memory circuit 120 stores various programs. The memory circuit 120 is, for example, a storage device such as an HDD (Hard Disk Drive), SSD (Solid State Drive), or integrated circuit memory device that stores various information. Further, in addition to HDDs, SSDs, etc., the memory circuit 120 may also be a drive device that reads and writes various information to and from portable storage media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), flash memories, and semiconductor memory elements such as RAMs (Random Access Memories).

[0016] The input interface 130 is realized by a trackball, switch button, mouse, keyboard, touchpad for performing an input operation by touching an operation surface, touch screen in which a display screen and a touchpad are integrated, non-contact input circuit using an optical sensor, voice input circuit, etc., that receive an operation by the user. The input interface 130 is connected to the processing circuit 150 and converts the input operation received from the user into an electrical signal and outputs it to the processing circuit 150. Note that in this specification, the input interface 130 is not limited to only those having physical operation components such as a mouse and a keyboard. For example, an electrical signal processing circuit that receives an electrical signal corresponding to an input operation from an external input device provided separately from the apparatus and outputs this electrical signal to the processing circuit 150 is also included in the example of the input interface 130.

[0017] The display 140 displays various types of information under the control of the processing circuit 150. For example, the display 140 outputs information generated by the processing circuit 150, a GUI (Graphical User Interface) for receiving various operations from the user, etc. The display 140 is an example of a display unit.

[0018] The display 140 is specifically a dot matrix type electronic display such as a liquid crystal display or an organic EL (Organic Electro-Luminescence: OEL) display. Note that the input interface 130 and the display 140 may be integrated. For example, the input interface 130 and the display 140 may be realized by a touch panel. Note that the display 140 may be provided separately from the nursing care management device 100 and connected to the nursing care management device 100 via, for example, a cable or the like.

[0019] The processing circuit 150 is a processor that reads and executes a program from the storage circuit 120 to realize the functions corresponding to each program. The processing circuit 150 of the present embodiment includes an acquisition function 151, a task generation function 152, a nursing schedule generation function 153, an allocation function 154, an extraction function 155, and an output function 156. The acquisition function 151 is an example of an acquisition unit. The task generation function 152 is an example of a task generation unit. The nursing schedule generation function 153 is an example of a schedule generation unit. The allocation function 154 is an example of an allocation unit. The extraction function 155 is an example of an extraction unit. The output function 156 is an example of an output unit.

[0020] Here, for example, the processing functions of the processing circuit 150, namely the acquisition function 151, task generation function 152, nursing schedule generation function 153, assignment function 154, extraction function 155, and output function 156, are stored in the memory circuit 120 in the form of programs that can be executed by a computer. The processing circuit 150 is a processor. For example, the processing circuit 150 reads the programs from the memory circuit 120 and executes them to realize the functions corresponding to each program. In other words, the processing circuit 150 in the state in which each program has been read will have the functions shown in the processing circuit 150 of Figure 1. In Figure 1, the processing functions performed by the acquisition function 151, task generation function 152, nursing schedule generation function 153, assignment function 154, extraction function 155, and output function 156 are realized by a single processor, but it is also possible to configure the processing circuit 150 by combining multiple independent processors, and each processor will realize the functions by executing a program. Furthermore, although Figure 1 describes a single memory circuit 120 that stores programs corresponding to each processing function, it is also possible to have multiple memory circuits distributed and have the processing circuit 150 read the corresponding programs from individual memory circuits.

[0021] The above description illustrates an example in which a "processor" reads and executes programs corresponding to each function from a memory circuit, but the embodiments are not limited to this. The term "processor" refers to circuits such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an Application Specific Integrated Circuit (ASIC), and a programmable logic device (e.g., a Simple Programmable Logic Device (SPLD), a Complex Programmable Logic Device (CPLD), and a Field Programmable Gate Array (FPGA)). If the processor is a CPU, for example, it realizes its functions by reading and executing programs stored in a memory circuit. On the other hand, if the processor is an ASIC, instead of storing the program in the memory circuit 120, the function is directly incorporated as a logic circuit within the processor's circuit. In this embodiment, each processor is not limited to being configured as a single circuit; multiple independent circuits may be combined to form a single processor and realize its functions. Furthermore, the multiple components shown in Figure 1 may be integrated into a single processor to realize its functions.

[0022] Figure 2 is a diagram showing an example of various nursing-related tasks that the nursing management device 100 according to the first embodiment will handle. The functions of the nursing management device 100 will be described below using Figures 1 and 2.

[0023] The acquisition function 151 acquires nursing records. For example, nursing records are entered by the user through the input interface 130. Alternatively, each nurse may share the nursing management device 100 to enter nursing records, or the acquisition function 151 may acquire nursing records entered by each nurse on other PCs, etc., via the network 500, etc.

[0024] Nursing records are records of multiple nursing tasks performed. For example, each nursing task in a nursing record is associated with identifying information of the nurse in charge, a record of the nurse's actions and thoughts during the nursing task, identifying information of the patient being cared for, and the date and time the task was performed. Identifying information of the nurse in charge and identifying information of the patient may be, for example, the patient's name or code. In the example shown in Figure 2 (1), the nursing record includes the patient's name, the name of the nurse in charge, the date and time the nursing task was performed, and the content of the nursing task.

[0025] The name of the nurse in charge may be registered by the acquisition function 151 using the username used when the nurse logs into the nursing management device 100 to write nursing records.

[0026] Nursing practice records are records of a nurse's actions and thoughts during their nursing practice, and in the example shown in Figure 2, they are described in a format called Focus Charting (FC). In Focus Charting, nursing practice records are divided into Focus and Articles. Focus refers to the matters that are the focus of the nursing practice, such as the patient's problems, the care provided, and the goals, and information is collected focusing on the patient's interests, behaviors to watch out for, important events, and concerns. Articles are classified into D: Data, A: Action, and R: Response. D supports the focus and records subjective and objective data such as tests and vital signs, and describes in detail the situations in which intervention is needed. A describes the actions taken by the healthcare professional regarding the focus (procedures, treatments, guidance, etc.) and future plans. R describes the patient's response to the action and the results.

[0027] In the example shown in Figure 2 (1), the focus is on the important symptom, "inability to clear sputum." Section D includes the nurse's observations, oxygen saturation measurement results, and patient complaints, stating, "The patient has a cough and wheezing. SpO2 (oxygen saturation) is 89%. It appears the patient is unable to clear sputum due to an accident. 'My throat feels rumbling, and sometimes I have trouble breathing.'" Section A details the nurse's actions towards the patient, stating, "Perform postural drainage and suctioning to promote sputum clearance, and regularly monitor SpO2. Administer oxygen as instructed and report to the doctor." Section R describes the patient's condition and comments after receiving the nursing care described in A, stating, "The accumulated sputum is removed by suctioning. 'I guess the reason I'm having trouble breathing is because I have sputum built up.'"

[0028] Figure 2 illustrates a nursing record for a single nursing service for one patient, but the acquisition function 151 acquires nursing records for multiple patients and nursing services performed by multiple nurses in a hospital equipped with the nursing management device 100. The acquisition function 151 stores the acquired nursing records, for example, in a memory circuit 120.

[0029] Note that the format of nursing records is not limited to the example in Figure 2. For example, the SOAP format, which uses "S (Subjective Date): Subjective Data," "O (Objective Data): Objective Data," "A (Assessment): Assessment," and "P (Plan): Plan," may also be used.

[0030] Furthermore, nursing records may include a summary of each nursing task, with the type of nursing task associated with it.

[0031] Returning to Figure 1, the task generation function 152 generates tasks, which are nursing duties to be performed, based on the acquired nursing records.

[0032] Tasks are nursing duties that should be performed on patients in the future, such as examinations (MRI scans, gastroscopy, ultrasound imaging, CT scans, blood tests, etc.), medical procedures that nurses can perform (such as suctioning, intravenous drips, and drug administration), surgery, functional training by rehabilitation professionals, explanations of the patient's condition, assistance with meals, preparation of the patient's room, and hospital meetings. The task generation function 152 estimates the content and timing of tasks that should be performed on patients who are the subject of nursing duties included in the acquired nursing records. The task generation function 152 estimates the timing of tasks, for example, on a daily basis. The task generation function 152 generates at least the types (categories) of tasks that show an overview of the tasks, such as examinations, medical procedures that nurses can perform (such as suctioning, intravenous drips, and drug administration), surgery, functional training by rehabilitation professionals, explanations of the patient's condition, assistance with meals, preparation of the patient's room, and hospital meetings. Furthermore, the task generation function 152 may generate detailed content of tasks for each patient.

[0033] The tasks may include medical procedures performed by non-nurses, such as various examinations and functional training by rehabilitation professionals, as shown in (2) of Figure 2. This is because even if a medical procedure is performed by a non-nurse, nurses may still provide guidance and explanations to the patient, and the medical procedures performed by non-nurses may be related to the schedule of other nursing duties.

[0034] The task generation function 152 may, for example, obtain tasks output from an AI (Artificial Intelligence) model by inputting acquired nursing records into a trained AI model.

[0035] The AI ​​model used for task generation is, for example, a trained model that has learned to associate nursing records related to completed nursing tasks with the content of tasks that should be performed on patients who were the subject of those nursing tasks, and the timing of when those tasks should be performed, using deep learning or other machine learning methods. Alternatively, the AI ​​model used for task generation may be a general-purpose trained model, such as an LLM (Large Language Model). The AI ​​model used for task generation may be stored, for example, in the memory circuit 120 of the nursing management device 100, or it may be stored in an external device of the nursing management device 100 and connected via the network 500. Furthermore, the AI ​​model may be incorporated into the task generation function 152.

[0036] Returning to Figure 1, the nursing schedule generation function 153 generates a nursing schedule that associates the tasks generated by the task generation function 152 with the nurses responsible for those tasks and time information regarding the scheduled date and time of those tasks.

[0037] As shown in Figure 2(3), the nursing schedule generation function 153 automatically sets, for example, "when (date and time of implementation), to whom (target patient), and what to do (task content)" for future actions, and generates a schedule in worksheet format. In addition, the worksheet may highlight procedures and care that the task generation function 152 has estimated to require. In Figure 2(3), "MRI examination" is highlighted. Highlighting in this way reduces the chances of nurses overlooking or failing to perform tasks when reviewing the worksheet. Note that the format of the nursing schedule does not have to be a worksheet format.

[0038] The nursing schedule generation function 153 may, for example, obtain a worksheet output from an AI model by inputting tasks generated by the task generation function 152, patient information about the patient, and various medical information such as the schedule of examinations that can be performed at the hospital into a trained AI model. Various medical information may be obtained, for example, from an electronic medical record system 300 and a medical information system 400.

[0039] The AI ​​model used for worksheet generation is a pre-trained model that has been trained using deep learning or other machine learning methods to associate various medical information, such as the content and timing of tasks, patient information, and the schedule of examinations that can be performed at the hospital, with nursing schedules in worksheet format. Alternatively, the AI ​​model used for worksheet generation may be a general-purpose model, such as an LLM. The AI ​​model used for worksheet generation may be stored, for example, in the memory circuit 120 of the nursing management device 100, or it may be stored in an external device of the nursing management device 100 and accessible via the network 500. Furthermore, the AI ​​model may be incorporated into the nursing schedule generation function 153.

[0040] Furthermore, the nursing schedule generation function 153 may access hospital information systems, clinical laboratory systems, radiology information systems, etc., and automatically make examination reservations based on the generated worksheet.

[0041] Returning to Figure 1, the assignment function 154 automatically assigns a nurse to each task included in the nursing schedule generated by the nursing schedule generation function 153.

[0042] For example, the assignment function 154 identifies candidate nurses to handle each task based on the nursing schedule generated by the nursing schedule generation function 153 and the attendance schedules of nurses working at the hospital. The assignment function 154 may assign multiple candidate nurses to each task, for example. In this case, the assignment function 154 may also prioritize the multiple candidate nurses based on each nurse's previous and subsequent work history, job title, etc.

[0043] The assignment function 154 then sends a notification (task request) to each candidate nurse to whom it is responsible for each task, as shown in (4) of Figure 2. The assignment function 154 may, for example, send a notification requesting task assignment to each nurse's user terminal 200 via the NW interface 110 and network 500. Each nurse who receives a notification requesting task assignment can input a response from their user terminal 200 to accept or reject the assignment of the task. The user terminal 200 sends the nurse's response to the nursing management device 100. The assignment function 154 receives the responses from the nurses and decides on the task assignment. For example, the assignment function 154 may request task assignment from multiple candidate nurses in order of priority, and if rejected, request the task assignment to the next highest priority nurse.

[0044] Furthermore, the method of requesting task assignment is not limited to sending a notification to the user terminal 200. For example, the assignment function 154 may assign a notification requesting task assignment to each user ID of the nursing management device 100, and the user may be able to check this notification when they log in to the nursing management device 100.

[0045] The assignment function 154 determines who will be responsible for a task once any nurse has agreed to take on that task, and registers the assigned nurse in association with the task registered in the nursing schedule worksheet.

[0046] The assignment function 154 may, for example, obtain candidate nurses to be in charge of each task output by the AI ​​model by inputting the nursing schedule generated by the nursing schedule generation function 153, the attendance schedules of nurses working at the hospital, and other information such as the nurses' job titles into a trained AI model. The attendance schedules and other information may be obtained, for example, from the medical information system 400.

[0047] The AI ​​model used to assign candidates for each task is a pre-trained model that has learned to associate task schedules with task assignees using deep learning or other machine learning methods. Alternatively, the AI ​​model used to assign candidates for each task may be a general-purpose model, such as an LLM. The AI ​​model used to assign candidates for each task may be stored, for example, in the memory circuit 120 of the nursing management device 100, or it may be stored in an external device of the nursing management device 100 and accessible via the network 500. Furthermore, the AI ​​model may be incorporated into the assignment function 154.

[0048] Returning to Figure 1, the extraction function 155 extracts, as shown in (5) of Figure 2, the differences between at least some of the nursing tasks performed by nurses included in the nursing records acquired by the acquisition function 151 and the nursing tasks being compared, as feature points for each type of nursing task.

[0049] In this embodiment, at least some of the nursing duties performed by nurses included in the nursing record are nursing duties that correspond to nurses belonging to the first group among the multiple nursing duties included in the nursing record. The nursing duties used for comparison are nursing duties that correspond to nurses belonging to the second group among the multiple nursing duties included in the nursing record.

[0050] The first and second groups for classifying nurses are groups classified according to the attributes of the nurses. These attributes include, for example, at least one of the following: years of experience as a nurse or job position. More specifically, the first and second groups are groups of multiple nurses working in a hospital where the medical information processing system S is applied, classified based on at least one of the following: years of experience as a nurse or job position.

[0051] The first group consists of nurses whose years of experience are above the first threshold, or whose job position is above the specified rank. The second group consists of nurses whose years of experience are below the second threshold (shorter than the first threshold), or whose job position is below the specified rank.

[0052] More specifically, the first group would be, for example, a group of highly skilled veteran nurses with 10 or more years of experience. The second group would be a group of less skilled young nurses with less than 5 years of experience. However, the criteria for distinguishing between the first and second groups are not limited to these. For example, the first group could be a group of nurses in supervisory positions or higher, and the second group could be a group of nurses without supervisory positions.

[0053] Each nurse's years of experience and position are obtained, for example, from the medical information system 400 using acquisition function 151 or extraction function 155.

[0054] Nursing duties associated with nurses belonging to the first group are nursing duties performed by nurses belonging to the first group. Nursing duties associated with nurses belonging to the second group are nursing duties performed by nurses belonging to the second group.

[0055] The extraction function 155 extracts the differences between nursing tasks performed by nurses belonging to the first group, who are veteran nurses, and nursing tasks performed by nurses belonging to the second group, who are junior nurses, based on the nursing records acquired by the acquisition function 151. Since differences naturally occur between different types of nursing tasks, the extraction function 155 compares the nursing tasks performed by veteran nurses and those performed by junior nurses for each type of nursing task.

[0056] The types of nursing duties, similar to the types of tasks, are classifications at a general level of nursing duties, including medical procedures that nurses can perform such as examinations, suctioning, intravenous drips, and drug administration; surgery; functional training by rehabilitation professionals; explaining the patient's condition; assisting with meals; preparing patient rooms; and attending hospital meetings.

[0057] Furthermore, the extraction function 155 may extract not only nursing tasks of exactly the same type, but also differences between similar nursing tasks. Nursing tasks performed by nurses belonging to the first group are examples of first-group nursing tasks. Nursing tasks performed by nurses belonging to the second group that are the same as or similar to first-group nursing tasks are examples of second-group nursing tasks.

[0058] The extraction function 155 extracts as feature points the differences between records of actions and thoughts in nursing duties performed by nurses belonging to the first group and records of actions or thoughts in nursing duties performed by nurses belonging to the second group. More specifically, the extraction function 155 extracts as feature points actions or thoughts that are included in the records of actions and thoughts in nursing duties performed by nurses belonging to the first group, but are not included in the records of actions or thoughts in nursing duties performed by nurses belonging to the second group. As a result, items that veteran nurses perform or think about, but that junior nurses do not perform or think about, are extracted as feature points. Such feature points are likely to be insights from veteran nurses in hospitals where the medical information processing system S is applied.

[0059] Figure 3 shows an example of characteristic features for each type of nursing work according to the first embodiment. In the example shown in Figure 3, the characteristic feature extracted for the type of nursing work "Explaining the patient's condition" is "Expressing caring in words to outpatients," more specifically, "Using words to alleviate anxiety in explaining the patient's condition, etc., so that they can go home feeling at ease." The characteristic feature extracted for the type of nursing work "Assisting with meals" is "Understanding the patient's overall situation and providing appropriate guidance," more specifically, "Providing guidance on even minor things tailored to the patient (e.g., eating vegetables first, chewing thoroughly, etc.)." The characteristic feature extracted for the type of nursing work "Preparing the patient's room" is "Taking proactive steps to avoid risks for outpatients," more specifically, "Setting up bed shelves to prevent falls while sleeping, etc." The characteristic feature extracted for the type of nursing work "Common to all nursing work" is "Considering the comfort of outpatients," more specifically, "Judging the patient's mood from their facial expression and tone of voice, and considering a comfortable environment for both mind and body." Furthermore, under the category of nursing duties "in-hospital meetings," the characteristic features identified are "promoting teamwork in outpatient settings," and more specifically, "taking the initiative to collaborate with doctors and other medical professionals to carry out duties."

[0060] In reality, the details of nursing practices and knowledge vary depending on the hospital to which the medical information processing system S is applied, so the information extracted as characteristic features is not limited to the example shown in Figure 3.

[0061] Furthermore, the extraction function 155 stores the extracted feature points in a memory circuit 120, for example, in association with the type of nursing task from which the feature points were extracted, as shown in Figure 3.

[0062] The extraction function 155 may, for example, input nursing records acquired by the acquisition function 151 into a trained AI model to obtain characteristic points for each type of nursing task output from the AI ​​model.

[0063] If the type of nursing task is not registered in the nursing record, the extraction function 155 may use an AI model to identify the type of nursing task from the focus and article of the nursing record.

[0064] Furthermore, the extraction function 155 summarizes the differences between the extracted individual nursing tasks, for example, by type of nursing task. Also, feature points extracted that are common to multiple types of nursing tasks may be associated with tasks beyond nursing tasks, such as "common to all nursing tasks."

[0065] The AI ​​model used for feature point extraction is a pre-trained model that has been trained using deep learning or other machine learning methods to associate task schedules with task assignees. Alternatively, the AI ​​model used for feature point extraction may be a general-purpose model, such as an LLM. The AI ​​model used for feature point extraction may be stored, for example, in the memory circuit 120 of the nursing management device 100, or it may be stored in an external device of the nursing management device 100 and accessible via the network 500. Furthermore, the AI ​​model may be incorporated into the extraction function 155.

[0066] Returning to Figure 1, the output function 156 outputs the feature points extracted by the extraction function 155, associating them with tasks related to the nursing work from which the feature points were extracted.

[0067] More specifically, as shown in Figure 2(6), the output function 156, based on the nursing schedule generated by the nursing schedule generation function 153, notifies the nurse in charge of the task of the scheduled date and time of the task, along with information on characteristic points related to the task, before the scheduled date and time of the task.

[0068] Task-related feature points are feature points that correspond to the same type of nursing work as the task in question.

[0069] For example, the output function 156 notifies the user terminal 200 of the nurse in charge of the "medical condition explanation" task of the scheduled date and time of the task, along with a list of characteristic points related to the "medical condition explanation," before the scheduled date and time of the task. Since the list of characteristic points includes the knowledge of veteran nurses regarding nursing tasks of the same type as the task in question, it serves as a suggestion or proposal for task improvement for the nurse in charge. Through such notifications, the nurse in charge of the "medical condition explanation" task can grasp the knowledge of veteran nurses regarding "medical condition explanations" that have been performed in the past.

[0070] The output function 156 may also display the nursing schedule worksheet on the display 140. In this case, the nurse can check the contents of the nursing schedule on the worksheet displayed on the display 140. Alternatively, the output function 156 may send the nursing schedule worksheet to the user terminal 200. In this case, the nurse can check the worksheet on their own user terminal 200.

[0071] Furthermore, the method of outputting feature points is not limited to notification to the assigned nurse. The output function 156 may display the list of findings on the display 140, transmit it to another information processing device, or save it to the memory circuit 120.

[0072] Figure 4 is a flowchart showing an example of the process flow for creating nursing schedules and assigning nursing responsibilities, which is performed by the nursing management device 100 according to the first embodiment.

[0073] First, the acquisition function 151 acquires nursing records entered by nurses (S1). The acquisition function 151 then stores the acquired nursing records in the memory circuit 120, etc.

[0074] The task generation function 152 then generates tasks, which are nursing tasks to be performed, based on the acquired nursing records (S2). The task generation function 152 generates a task each time a specified period of nursing records is accumulated in the memory circuit 120, etc. For example, in a hospital with an inpatient ward, nurses' shifts change between day and night shifts in the morning and evening. Therefore, the task generation function 152 may generate a task each time a day or night shift's nursing records are accumulated in the memory circuit 120, etc. Furthermore, the tasks to be generated may be those to be performed within the next work period (day or night shift), or they may be for future work periods.

[0075] Then, the nursing schedule generation function 153 generates a nursing schedule worksheet that associates the tasks generated by the task generation function 152 with the nurses responsible for those tasks and time information regarding the scheduled date and time of the tasks (S3).

[0076] Next, the extraction function 155 obtains from the nursing records acquired by the acquisition function 151 the records of nursing duties performed by nurses belonging to the first group, who are veteran nurses, and the records of nursing duties performed by nurses belonging to the second group, who are junior nurses. The extraction function 155 then extracts as feature points any behaviors or thoughts that are included in the records of nursing duties performed by nurses belonging to the first group, but not in the records of nursing duties performed by nurses belonging to the second group (S4).

[0077] Furthermore, the S4 extraction process does not necessarily have to be performed every time a nursing schedule is created and assigned to a nurse, but may be performed after a period of nursing records longer than the task generation period has been accumulated. For example, the feature point extraction process may be performed every time several weeks or months' worth of nursing records have been accumulated. In this case, the feature point extraction process does not necessarily have to be included in the flow of nursing schedule creation and assignment of nurses, and may be performed independently.

[0078] Then, the assignment function 154 identifies a candidate nurse to be in charge of each task included in the nursing schedule worksheet generated by the nursing schedule generation function 153 (S5).

[0079] The assignment function 154 then sends a notification to the user terminal 200 of the nurse who is a candidate to be in charge of each task, requesting them to take on the task (S6). The unit of the work request may be one task at a time, or it may be one patient that the nurse is in charge of during one work period (day shift or night shift).

[0080] Then, if the assignment function 154 receives confirmation from the prospective nurse to take on the task (S7 "Yes"), it decides to assign the task to the nurse (S8).

[0081] Furthermore, if the assignment function 154 receives a refusal from a nurse who was a candidate to take on the task (S7 "No"), it sends a notification to another candidate nurse requesting them to take on the task (S9).

[0082] Processes S6-S10 are repeated until the person responsible for each task included in the nursing schedule is determined (S10 "No").

[0083] Then, once the assignment function 154 has determined who will be in charge of all tasks included in the nursing schedule (S10 "Yes"), it registers and updates the determined personnel in the nursing schedule worksheet, thereby finalizing the nursing schedule (S11). The assignment function 154 then saves the finalized worksheet, for example, in the memory circuit 120. At this point, the processing of this flowchart ends.

[0084] Figure 5 is a flowchart showing an example of the process flow for pre-notification of tasks performed by the nursing management device 100 according to the first embodiment. Before the process shown in Figure 5, it is assumed that the nurse in charge of each task has already been registered in the nursing schedule worksheet by the process shown in Figure 4.

[0085] The output function 156 determines whether there is a task among the multiple tasks registered in the nursing schedule stored in the memory circuit 120, etc., where the current time is a specified number of hours before the scheduled date and time of the task (S101). The specified time is, for example, 12 hours before, but it may be changed to an appropriate time length by the administrator of the nursing management device 100, etc.

[0086] If, among the multiple tasks registered in the nursing schedule, there is no task where the current time is a specified number of minutes before the scheduled execution time of the task (S101 "No"), the output function 156 repeats the determination process of S101 and waits until it is a specified number of minutes before the scheduled execution time of any task.

[0087] Furthermore, if, among the multiple tasks registered in the nursing schedule, there is a task where the current time is a specified number of minutes before the scheduled date and time of the task (S101 "Yes"), the output function 156 sends a pre-notification of the task, along with the feature points related to that task, to the user terminal 200 of the nurse in charge of that task (S102). The feature points related to the task are, as described above, feature points associated with the same type of nursing work as the type of task in question. At this point, the processing of this flowchart ends.

[0088] As described above, the nursing management device 100 of this embodiment generates tasks, which are nursing tasks to be performed, based on nursing records relating to the nursing tasks performed. It extracts differences between nursing tasks performed by at least some of the nurses included in the nursing records and nursing tasks to be compared, as feature points for each type of nursing task. The extracted feature points are then output in association with tasks related to the nursing tasks from which the feature points were extracted. Therefore, the nursing management device 100 of this embodiment enables the efficient sharing of knowledge regarding nursing tasks.

[0089] Furthermore, the nursing management device 100 of this embodiment extracts as feature points the differences between records relating to the actions and thoughts of nurses in nursing duties, which are associated with nurses belonging to a first group classified according to the attributes of the nurses, and records relating to the actions or thoughts of nurses belonging to a second group. Because the volume of nursing records created in daily work is enormous, it is not easy to classify nursing records manually and analyze feature points and commonalities, and it can be difficult to ensure accuracy. With the nursing management device 100 of this embodiment, by classifying nursing records according to the attributes of the nurses who performed the nursing duties recorded in the nursing records, it becomes possible to extract and analyze feature points according to the attributes of the nurses.

[0090] Furthermore, in this embodiment, the first group is a group of nurses whose years of experience are equal to or greater than the first threshold, or whose job position is equal to or greater than the specified rank. The second group is a group of nurses whose years of experience are shorter than the first threshold, or whose job position is less than the specified rank. Therefore, according to the nursing management device 100 of this embodiment, it is possible to extract as characteristic points the differences between nursing tasks performed by highly skilled veteran nurses and nursing tasks performed by younger nurses. Generally, such differences include valuable insights. Therefore, according to the nursing management device 100 of this embodiment, the insights of veteran nurses can be identified from records of actually performed nursing tasks and shared with other nurses.

[0091] Furthermore, the nursing management device 100 of this embodiment generates a nursing schedule that associates the generated task with the nurse responsible for that task and time information regarding the scheduled date and time of the task's implementation. Therefore, the nursing management device 100 of this embodiment can generate an appropriate nursing schedule by taking into account the content of the nursing work performed as recorded in the nursing record.

[0092] Furthermore, based on the generated nursing schedule, the nursing management device 100 notifies the nurse in charge of a task of the scheduled date and time of the task, along with information on characteristic points related to the task, before the scheduled date and time of the task. Therefore, according to the nursing management device 100 of this embodiment, nurses can receive a reminder of the scheduled date and time of the task they are assigned to perform, and can also grasp knowledge related to the task before performing the task.

[0093] Traditionally, such knowledge was sometimes passed on to the next nurse taking over a task during shift changes, both written and verbally, by the nurse who performed the similar task. However, this method of handover can be inefficient because the recipients of the knowledge are limited. Furthermore, an increase in the amount of information to be passed on during the handover process increases the workload on nurses. In contrast, the nursing management device 100 of this embodiment can reduce errors such as nurses forgetting to perform their assigned tasks and improve the quality of nursing work when performing tasks by providing reminders for assigned tasks and sharing knowledge.

[0094] (Second embodiment) In the first embodiment described above, the nursing management device 100 had the functions of creating nursing schedules, assigning responsibilities, and providing advance notification of tasks. In this second embodiment, the nursing management device 100 further evaluates the nursing plan based on the results of task implementation that have been improved based on characteristic points.

[0095] Generally, a nursing care plan is a plan of nursing practice that includes information about the goals of nursing care for each patient. For example, a nursing care plan may include nursing diagnoses, nursing goals, observation plans (OP), treatment plans (TP), education plans (EP), etc. Note that treatment plans are sometimes called care plans (CP).

[0096] Nursing care plans cover a longer period than nursing schedules. Furthermore, nursing care plans do not manage individual tasks. For example, a nursing care plan covers a period of more than one month and includes long-term goals for resolving the patient's nursing problems. It may also include short-term goals for problems that may arise before the long-term goals are achieved. For example, if a patient is undergoing rehabilitation after surgery, the nursing goal might be "to be able to walk independently in daily life without assistance," while short-term goals might be "to be able to walk xx meters down the corridor with crutches by July 31st" or "to be able to walk yy meters without assistance by August 10th." Generally, short-term goals include both the expected completion date and the content of the goal to be achieved.

[0097] Furthermore, nursing care plans are regularly reviewed through in-hospital meetings conducted by nurses. Figure 6 shows an example of the sequence of the five processes in a typical nursing care process. As shown in Figure 6, nursing care plans are properly managed by sequentially going through the five processes of diagnosis, planning, implementation, evaluation, and assessment. The nursing care management device 100 of this embodiment performs the evaluation and assessment processes among the five processes in the nursing care process.

[0098] Figure 7 is a block diagram showing an example of the configuration of a medical information processing system S according to the second embodiment. The medical information processing system S of this embodiment includes a nursing management device 100, a user terminal 200, an electronic medical record system 300, and a medical information system 400, similar to the first embodiment. The user terminal 200, the electronic medical record system 300, and the medical information system 400 have the same configuration as in the first embodiment.

[0099] The nursing management device 100 of this embodiment includes, similar to the first embodiment, an NW interface 110, a memory circuit 120, an input interface 130, a display 140, and a processing circuit 150.

[0100] The processing circuit 150 of this embodiment includes an acquisition function 151a, a task generation function 152, a nursing schedule generation function 153, an assignment function 154, an extraction function 155, an output function 156a, and an evaluation function 157. The acquisition function 151a is an example of an acquisition unit. The output function 156a is an example of an output unit. The evaluation function 157 is an example of an evaluation unit.

[0101] The task generation function 152, the nursing schedule generation function 153, the assignment function 154, and the extraction function 155 have the same functions as in the first embodiment.

[0102] In addition to the same functions as in the first embodiment, the acquisition function 151a of this embodiment also acquires nursing plans. The nursing plans may be acquired, for example, from an electronic medical record system 300 or a medical information system 400, or they may be entered into the nursing management device 100 by the user.

[0103] Furthermore, the acquisition function 151a of this embodiment acquires a new nursing record concerning the task (nursing work) performed by the assigned nurse after information regarding characteristic points related to the task has been notified to the assigned nurse. The new nursing record is, in other words, a record of the nursing work performed by the nurse who received notification of the characteristic points.

[0104] Figure 8 shows an example of various nursing-related tasks that are the target of the nursing management device 100 according to the second embodiment. The various tasks shown in Figure 8 are a continuation of the various tasks shown in Figure 2. The prior notification for task (6) in Figure 8 is the same as the prior notification for task (6) in Figure 2.

[0105] Nurses who receive prior notification of their duties along with characteristic points perform the improved tasks (nursing duties) based on the notified characteristic points, as shown in (7) of Figure 8. For example, one of the characteristic points associated with the explanation of the patient's condition, as explained in Figure 3, was "expressing caring in words to outpatients." Nurses who receive notification of this characteristic point will, for example, take care to express caring in words when explaining the patient's condition and record this in their nursing record. The acquisition function 151a acquires the nursing record related to the task (nursing duties) performed in this way, as shown in (7) of Figure 8.

[0106] Furthermore, as shown in (8) of Figure 8, the evaluation function 157 evaluates the degree of achievement of the nursing task goals included in the nursing plan based on the new nursing record acquired by the acquisition function 151a. This corresponds to the evaluation process among the five processes in the nursing process explained in Figure 6.

[0107] For example, the evaluation function 157 identifies nursing outcomes from the entry of new nursing records and evaluates to what extent those outcomes have achieved the long-term and short-term goals included in the nursing plan. The evaluation function 157 evaluates, for example, the extent to which the patient's risk factors have improved, and how close the set short-term goals have been made.

[0108] To illustrate with a specific example, if the nursing plan includes a short-term goal of "being able to walk 10 meters down the corridor with crutches by July 31st," and the latest walking performance of the patient included in the new nursing record is "being able to walk 10 meters down the corridor with crutches on July 29th," then the evaluation function 157 will evaluate the achievement rate of that short-term goal as 100%. On the other hand, if the latest performance of the patient included in the new nursing record is "being able to stand while holding onto the handrail on July 31st, but unable to walk," then the evaluation function 157 may evaluate the achievement rate of that short-term goal as, for example, 10%.

[0109] Furthermore, the evaluation function 157 may analyze the factors that influenced the degree of goal achievement based on the new nursing record. Even if the degree of achievement is low, if it is the result of performing the correct task based on the characteristic points, the evaluation function 157 can accurately identify the factors that hindered goal achievement, thereby preventing erroneous course corrections (re-examination of the nursing plan).

[0110] Furthermore, as shown in (9) of Figure 8, the evaluation function 157 makes a decision regarding the termination, continuation, or modification of the nursing plan based on the evaluation of the degree of achievement. This corresponds to the assessment process, one of the five processes in the nursing process explained in Figure 6.

[0111] The termination of a nursing care plan specifically refers to events such as discharge due to the patient reaching long-term goals, termination of regular outpatient visits, or transition to a nursing care plan with higher goals. The conditions for terminating a nursing care plan may be predetermined and stored in a memory circuit 120 or the like. The evaluation function 157 may determine the termination of the current nursing care plan, for example, when the degree of achievement of short-term and long-term goals exceeds a predetermined level.

[0112] Continuing a nursing care plan means continuing the current nursing care plan. The evaluation function 157 determines whether or not the nursing care plan needs to be revised if the termination conditions for the nursing care plan are not met, based on an evaluation of the degree of achievement of the nursing care plan's goals and the progress toward achieving those goals. For example, the evaluation function 157 may determine to continue the current nursing care plan if the degree of achievement of the long-term goals is below the prescribed level, but the timing of achieving the short-term goals is in line with the nursing care plan.

[0113] Modifying a nursing care plan involves revising the current nursing care plan. The evaluation function 157 may determine whether to modify the nursing care plan if, for example, the achievement of short-term and long-term goals falls below a specified level, and the patient has not achieved the short-term goals defined in the nursing care plan even after the target achievement period has passed.

[0114] Furthermore, if, despite the sharing of characteristic points, the actual nursing work performed differs from those characteristic points as documented in the new nursing record, the evaluation function 157 will determine that the nursing plan should be continued without modification. In this case, the evaluation function 157 may identify the descriptions of nursing work that do not conform to the characteristic points in the new nursing record and output them to the output function 156a described later.

[0115] The AI ​​model used for evaluating the degree of goal achievement, identifying and analyzing outcomes, and assessing nursing plans by the evaluation function 157 is, for example, a pre-trained model that has been trained by associating nursing records, nursing plans, and the degree of achievement of goals included in the nursing plans through nursing work in the nursing records, using deep learning or other machine learning methods. The AI ​​model used for task generation may also be a general-purpose pre-trained model, such as an LLM. The AI ​​model used for evaluating the degree of goal achievement, identifying and analyzing outcomes, and assessing nursing plans may, for example, be stored in the memory circuit 120 of the nursing management device 100, or it may be stored in an external device of the nursing management device 100 and accessible via the network 500. Furthermore, the AI ​​model may be incorporated into the evaluation function 157.

[0116] Returning to Figure 7, the output function 156a of this embodiment, in addition to the same functions as in the first embodiment, also displays the assessment results of the nursing plan on the display 140. Furthermore, the output function 156a may also display the evaluation or analysis results of the degree of achievement of the nursing plan goals on the display 140.

[0117] Furthermore, the method of outputting the evaluation results of the achievement of the nursing plan goals and the assessment results is not limited to displaying them on the display 140. The output function 156 may transmit the evaluation results of the achievement of the nursing plan goals and the assessment results to other information processing devices, or it may store them in the memory circuit 120.

[0118] Figure 9 is a flowchart showing an example of the process flow for evaluating and assessing the degree of achievement of nursing plan goals, which is performed by the nursing management device 100 according to the second embodiment.

[0119] First, acquisition function 151a acquires the nursing care plan (S201).

[0120] Then, acquisition function 151a acquires nursing records (S202). These nursing records are new nursing records concerning nursing duties performed by nurses who have received notification of characteristic points.

[0121] Then, the evaluation function 157 evaluates the degree of achievement of the nursing work goals included in the nursing plan based on the new nursing record acquired by the acquisition function 151a (S203).

[0122] The evaluation function 157 determines whether the completion conditions of the nursing plan have been met based on the degree to which the goals of the nursing work have been achieved (S204). If the completion conditions of the nursing plan have been met (S204 "Yes"), the evaluation function 157 determines that the nursing plan is completed (S205).

[0123] Furthermore, if the termination conditions for the nursing plan are not met (S204 "No"), the evaluation function 157 determines whether or not the nursing plan needs to be revised (S206). If the evaluation function 157 determines that the nursing plan does not need to be revised (S206 "No"), it determines to continue the nursing plan (S207).

[0124] Furthermore, if the evaluation function 157 determines that the nursing care plan needs to be revised (S206 "Yes"), it determines to revise the nursing care plan (S208). In this case, the evaluation function 157 may also generate the content of the revision to the nursing care plan.

[0125] Then, the output function 156a outputs the determination result of whether the nursing plan has been completed, continued, or modified to the display 140 (S209). At this point, the processing of this flowchart is complete.

[0126] Thus, the nursing management device 100 of this embodiment evaluates the degree of achievement of the goal based on new nursing records related to nursing work performed by nurses after notification of characteristic points, and makes a decision regarding the termination, continuation, or modification of the nursing plan based on the evaluation of the degree of achievement. For this reason, the nursing management device 100 of this embodiment can evaluate the results of improvements in the quality of nursing work due to the sharing of characteristic points, including nursing knowledge, among nurses, and appropriately conduct assessments regarding the termination, continuation, or modification of the nursing plan.

[0127] (Third embodiment) In the first and second embodiments described above, the extraction function 155 of the nursing management device 100 extracted as feature points information that was included in records of actions and thoughts in nursing tasks performed by highly skilled veteran nurses, but not in records of actions or thoughts in nursing tasks performed by less skilled young nurses. In contrast, the extraction function 155 of the nursing management device 100 in this embodiment extracts as feature points the differences between records of actions and thoughts in nursing tasks included in registered nursing records and standard nursing tasks.

[0128] The medical information processing system S of this embodiment includes a nursing management device 100, a user terminal 200, an electronic medical record system 300, and a medical information system 400, similar to the first embodiment. The user terminal 200, the electronic medical record system 300, and the medical information system 400 have the same configuration as in the first embodiment.

[0129] The nursing management device 100 of this embodiment includes, similar to the first embodiment, an NW interface 110, a memory circuit 120, an input interface 130, a display 140, and a processing circuit 150.

[0130] The processing circuit 150 of this embodiment includes an acquisition function 151, a task generation function 152, a nursing schedule generation function 153, an assignment function 154, an extraction function 155, and an output function 156, similar to the first embodiment. The acquisition function 151, task generation function 152, nursing schedule generation function 153, assignment function 154, and output function 156 have the same functions as in the first embodiment.

[0131] The extraction function 155 of this embodiment extracts, as feature points, records of actions and thoughts included in multiple nursing tasks contained in the nursing record that are not included in standard nursing tasks.

[0132] Standard nursing tasks are an example of comparable nursing tasks in this embodiment. Standard nursing tasks are information that associates the types of nursing tasks that are generally performed, regardless of whether a medical information processing system S is installed in the hospital, with the descriptions of the standard actions and thoughts performed for each type of nursing task.

[0133] In other words, the extraction function 155 compares nursing tasks actually performed at a hospital where the medical information processing system S is installed with standard nursing tasks, and extracts records of hospital-specific behaviors and thoughts that are not included in standard nursing tasks as characteristic points.

[0134] These differences from standard nursing practices may include knowledge specific to that hospital. For example, behaviors or ways of thinking that are not part of standard nursing practices may be implemented based on knowledge related to the age of the hospital's main patients, the hospital's medical departments, or regional characteristics.

[0135] Furthermore, the extraction function 155, similar to the first embodiment, summarizes the differences between the extracted individual nursing tasks, for example, by type of nursing task.

[0136] Furthermore, the extraction function 155 of this embodiment may obtain user approval before saving the extracted feature points as knowledge. This is because nursing tasks that are not part of standard nursing practice may not necessarily be based on useful knowledge. For example, they may be inefficient practices specific to the hospital in question.

[0137] Therefore, for example, the output function 156 may display the feature points extracted by the extraction function 155 on the display 140. The output function 156 may also display a selection screen on the display 140 that allows the user to choose whether or not to save the displayed feature points as knowledge. The extraction function 155 saves the extracted feature points as knowledge if the user approves them, and does not save them if the user does not approve them. Note that this saving process may be performed by an independent saving processing function separate from the extraction function 155. The user who decides whether or not to save the feature points as knowledge is, for example, a nurse with a position of chief or higher.

[0138] Thus, the nursing management device 100 of this embodiment extracts, as characteristic points, records of actions and thoughts included in multiple nursing tasks contained in nursing records that are not included in standard nursing tasks. In addition to the effects of the first embodiment, this embodiment can extract and share knowledge specific to the hospital where the nursing management device 100 is installed.

[0139] Furthermore, the nursing management device 100 of this embodiment can select feature points that should be shared among nurses as knowledge by saving the extracted feature points as knowledge if they are approved by the user, and not saving them if they are not approved by the user.

[0140] (Variation 1) In the first and second embodiments described above, the nursing management device 100 shared all extracted feature points as knowledge. However, as in the third embodiment, user approval may be obtained before saving the extracted feature points as knowledge.

[0141] (Modification 2) In the first to third embodiments described above, the nursing management device 100 was configured as a separate device from the electronic medical record system 300, but each function of the nursing management device 100 may be included as part of the electronic medical record system 300.

[0142] (Variation 3) In the first to third embodiments described above, the nursing management device 100 managed the work of nurses, but it may also manage the work of other healthcare professionals working in the hospital. For example, the nursing management device 100 may also manage the work of midwives, public health nurses, physical therapists, occupational therapists, and others.

[0143] The various types of data discussed in this specification are typically digital data.

[0144] According to at least one embodiment described above, knowledge related to nursing work can be shared efficiently.

[0145] While several embodiments have been described, these embodiments are presented as examples only and are not intended to limit the scope of the invention. These embodiments can be implemented in a variety of other forms, and various omissions, substitutions, modifications, and combinations of embodiments are possible without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims and their equivalents. [Explanation of Symbols]

[0146] 100 Nursing management equipment 110 NW Interfaces 120 Memory circuit 130 Input Interfaces 140 displays 150 Processing Circuits 151,151a Acquisition function 152 Task generation function 153 Nursing Schedule Generation Function 154 Assignment Function 155 Extraction function Output function for 156,156a 157 Rating function 200 user terminals 300 Electronic Medical Record Systems 400 Medical Information Systems 500 Networks S Medical Information Processing System

Claims

1. The acquisition unit acquires nursing records, which are records of multiple nursing tasks performed, A task generation unit generates tasks that are nursing duties to be performed based on the acquired nursing records, An extraction unit extracts characteristic points for each type of nursing task, which are differences between nursing tasks performed by at least some of the nurses included in the nursing record and nursing tasks to be compared. An output unit that outputs the aforementioned feature points in association with the tasks related to the nursing work from which the feature points were extracted, A nursing management device equipped with the following features.

2. The aforementioned nursing record is information that associates each of the multiple nursing tasks with the following: identification information indicating the nurse who performed the task, a record of the nurse's actions and thoughts during the nursing task, identification information indicating the patient being cared for, and the date and time the task was performed. The nursing duties performed by at least some of the nurses included in the nursing record are the first nursing duties that correspond to the nurses belonging to the first group, which is classified according to the attributes of the nurses, among the multiple nursing duties included in the nursing record. The nursing tasks to be compared are second nursing tasks of the same or similar type as the first nursing tasks, which are associated with the nurses belonging to a second group different from the first group, classified according to the attributes of the nurses, among the multiple nursing tasks included in the nursing record. The extraction unit extracts the differences between the records relating to actions and thoughts in the first nursing task and the records relating to actions or thoughts in the second nursing task as characteristic points. The nursing management device according to claim 1.

3. The attributes of the aforementioned nurse are at least one of the following: years of experience or position. The first group is defined as having years of experience equal to or greater than the first threshold, or having a job position equal to or greater than the specified rank. The second group is defined as having less than the second threshold, with years of experience shorter than the first threshold, or having a position below the specified rank. The extraction unit extracts, as characteristic points, the actions or thoughts from the records relating to the actions and thoughts of the multiple nursing tasks included in the nursing record that are included in the record associated with the nurse belonging to the first group, but are not included in the record associated with the nurse belonging to the second group. The nursing management device according to claim 2.

4. The nursing tasks being compared are standard nursing tasks. The extraction unit extracts, as characteristic points, the records relating to actions and thoughts included in the multiple nursing tasks contained in the nursing record that are not included in the standard nursing tasks. The nursing management device according to claim 1.

5. The extraction unit saves the extracted feature points as knowledge if the user approves them, and does not save the extracted feature points if the user does not approve them. The nursing management device according to claim 1.

6. The system further includes a schedule generation unit that generates a nursing schedule that associates the generated task with the nurse responsible for that task and time information regarding the scheduled date and time of the task's implementation. The nursing management device according to claim 1.

7. The output unit, based on the nursing schedule, notifies the nurse in charge of the task of the scheduled date and time of the task, along with information regarding the characteristic points related to the task, before the scheduled date and time of the task. The nursing management device according to claim 6.

8. The acquisition unit further acquires a nursing plan including information on the goals of the nursing work for each patient, and a new nursing record relating to the notified task after the characteristic points have been notified to the nurse along with the task and the notified task has been performed. The system further includes an evaluation unit that evaluates the degree of achievement of the goals based on the new nursing record and makes a determination regarding the termination, continuation, or modification of the nursing plan based on the evaluation of the degree of achievement. The nursing management device according to claim 7.

9. The acquisition step involves obtaining nursing records, which are records of multiple nursing tasks performed, and A task generation step that generates tasks, which are nursing duties to be performed, based on the acquired nursing records, An extraction step in which differences between nursing duties performed by at least some of the nurses included in the nursing record and nursing duties under comparison are extracted as characteristic points for each type of nursing duty, An output step that outputs the aforementioned feature points in association with the tasks related to the nursing work from which the feature points were extracted, Nursing management methods including those mentioned above.

10. The acquisition step involves obtaining nursing records, which are records of multiple nursing tasks performed, and A task generation step that generates tasks, which are nursing duties to be performed, based on the acquired nursing records, An extraction step in which differences between nursing duties performed by at least some of the nurses included in the nursing record and nursing duties under comparison are extracted as characteristic points for each type of nursing duty, An output step that outputs the aforementioned feature points in association with the tasks related to the nursing work from which the feature points were extracted, A program that causes a computer to execute something.

Images