How to generate text data

Abstract

A text data generation device 100 according to the present invention comprises: an acquisition unit 121 which acquires subject information indicating a subject's physical condition in chronological order; an estimation unit 122 which estimates the state of the subject in chronological order on the basis of the subject information; and a generation unit 123 which generates text data indicating the state of the subject in a predetermined time period on the basis of the estimated state of the subject in chronological order.

Description

[Technical field]

[0001] The present invention relates to a text data generation method, a text data generation device, and a program. [Background technology]

[0002] In hospitals, doctors and nurses record the daily condition of a patient as text data in an electronic medical record (hereinafter, also referred to as a "medical record") in order to understand the condition of the patient. For example, a medical record records objective data that indicates the patient's condition obtained from physical examinations and tests.

[0003] A technology for detecting an unsettled state, which is one example of a patient's condition, is disclosed in Patent Document 1. In Patent Document 1, an unsettled state is detected from time-series data of biological information measured from the patient. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] International Publication No. 2019 / 073927 Summary of the Invention [Problem to be solved by the invention]

[0005] However, with the above-mentioned technology, even if a patient's agitated state is detected, the nurse or doctor must record the patient's condition in the patient's chart, etc., which can be a burden for the nurse or doctor. In addition, the nurse or doctor may make mistakes in recording the patient's condition in the patient's chart, etc. (such as missing or incorrect records).

[0006] SUMMARY OF THE PRESENT EMBODIMENTS Therefore, an object of the present invention is to provide a text data generation method capable of solving the above-mentioned problems. [Means for solving the problem]

[0007] A text data generation method according to one aspect of the present invention includes: acquiring subject information representing the subject's physical condition over time; Estimating a state of the subject along a time series based on the subject information; generating text data representing the state of the subject in a predetermined time period based on the estimated state of the subject along the time series; The structure is as follows.

[0008] Furthermore, a text data generating device according to an embodiment of the present invention comprises: An acquisition unit that acquires subject information that represents a physical condition of the subject over time; An estimation unit that estimates a state of the subject along a time series based on the subject information; A generation unit that generates text data representing a state of the subject in a predetermined time period based on the estimated state of the subject along the time series; Equipped with The structure is as follows.

[0009] In addition, a program according to one aspect of the present invention includes: In the information processing device, acquiring subject information representing the subject's physical condition over time; Estimating a state of the subject along a time series based on the subject information; generating text data representing the state of the subject in a predetermined time period based on the estimated state of the subject along the time series; Execute the process, The structure is as follows. Effect of the Invention

[0010] By being configured as described above, the present invention reduces the burden on the nursing side and enables appropriate nursing care. [Brief description of the drawings]

[0011] [Figure 1] 1 is a block diagram showing an overall configuration of an information processing system according to a first embodiment of the present invention. [Diagram 2] 2 is a block diagram showing a configuration of a text data generating device constituting the text data generating system disclosed in FIG. 1. [Diagram 3] 3 is a diagram showing a state of processing by the text data generating device disclosed in FIG. 2. [Figure 4] 3 is a diagram showing a state of processing by the text data generating device disclosed in FIG. 2. [Diagram 5] 3 is a diagram showing a state of processing by the text data generating device disclosed in FIG. 2. [Figure 6] 3 is a diagram showing a state of processing by the text data generating device disclosed in FIG. 2. [Figure 7] 3 is a diagram showing a state of processing by the text data generating device disclosed in FIG. 2. [Figure 8] 3 is a flowchart showing the operation of the text data generating device disclosed in FIG. 2. [Figure 9] FIG. 11 is a block diagram showing a hardware configuration of a text data generating device according to a second embodiment of the present invention. [Figure 10] FIG. 11 is a block diagram showing a configuration of a text data generating device according to a second embodiment of the present invention. [Figure 11] 10 is a flowchart showing the operation of the text data generating device according to the second embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] <Embodiment 1> A first embodiment of the present invention will be described with reference to Figures 1 to 8. Figures 1 and 2 are diagrams for explaining the configuration of an information processing system, and Figures 3 to 8 are diagrams for explaining the processing operation of the information processing system.

[0013] [composition] The information processing system of the present invention measures measurement data such as chronological biological information from a patient P in a hospital, and generates text data expressing the patient's condition in a predetermined time period from the measurement data. The information processing system then registers the generated text data, for example, in the patient's electronic medical record, thereby preventing medical professionals such as nurses and doctors who care for the patient in the hospital from making mistakes in recording the patient's condition.

[0014] In the following, the information processing system of the present invention will be described as being used in a hospital, but it may also be used in a nursing home or at home. In this case, the information processing system is used to measure measurement data such as biological information of a person receiving care at a nursing home or at home, and generate text data representing the condition of the person receiving care. In this case, the generated text data is displayed and output to staff at the nursing home or the family of the person receiving care, or is transmitted to a system of a hospital that manages the person receiving care, and is displayed and output to medical personnel or registered in an electronic medical record. The detailed configuration of the information processing system will be described below.

[0015] As shown in FIG. 1, the information processing system includes a sensor 1, a communication device 2, and a text data generation system 10. The sensor 1 measures measurement data (subject information) from a patient P in a hospital, which represents the physical condition of the patient P over time. For example, the sensor 1 is a wearable device (e.g., a smart watch, an active tracker, an activity meter) worn on the wrist of the patient P like a wristwatch, a biosensor (e.g., a sheet-type sensor, a mat-type sensor, a radio wave sensor) installed near the bed of the patient P, a camera that captures images of the patient P, or the like. The sensor 1 measures physical information that can be expressed in numerical values ​​such as heart rate, body temperature, blood pressure, blood oxygen saturation (SpO2), respiratory rate, acceleration (amount of activity), number of steps, and number of ascents and descents, and image information such as moving images capturing the movements of the patient P, as measurement data over time that represents the physical condition of the patient P, and transmits the measurement data to the communication device 2 by wireless communication.

[0016] The communication device 2 is configured, for example, by a portable information communication terminal such as a wireless router, a smartphone, etc. The communication device 2 receives the measurement data of the patient P measured and transmitted by the sensor 1, and transfers the data to the text data generation system 10.

[0017] As shown in FIG. 2, the text data generation system 10 includes an input device 11, a display device 12, and a text data generation device 20. The input device 11 is, for example, a keyboard or a mouse, and allows an operator such as a nurse to input characters and operate operation buttons. The display device 12 is, for example, a display, and displays and outputs text data generated by the text data generation device 20 as described later. The text data generation device 20 is composed of one or more information processing devices including a calculation device and a storage device. As shown in FIG. 2, the text data generation device 20 includes an acquisition unit 21, an estimation unit 22, a generation unit 23, and a registration unit 24. The functions of the acquisition unit 21, the estimation unit 22, the generation unit 23, and the registration unit 24 can be realized by the calculation device executing a program for realizing each function stored in the storage device. The text data generation device 20 also includes a measurement data storage unit 26, a condition data storage unit 27, a text data storage unit 28, and a patient data storage unit 29. The measurement data storage unit 26, the condition data storage unit 27, the text data storage unit 28, and the patient data storage unit 29 are configured by storage devices. However, the measurement data storage unit 26, the condition data storage unit 27, the text data storage unit 28, and the patient data storage unit 29 are not necessarily limited to being configured by a storage device of the text data generation device 20, and may be configured by a storage device outside the text data generation system 10. Each configuration will be described in detail below.

[0018] The acquisition unit 21 acquires the measurement data of the patient P measured by the sensor 1 through the communication device 2 as described above. Then, the acquisition unit 21 stores the acquired measurement data in the measurement data storage unit 26, distinguishing between each patient P. For example, the acquisition unit 21 acquires, as the measurement data measured for each patient P, physical information that can be expressed by numerical values, such as heart rate, body temperature, blood pressure, blood oxygen saturation (SpO2), respiratory rate, acceleration (amount of activity), number of steps, and number of ascents and descents, and image information, such as moving images capturing the movements of the patient P. In particular, the measurement data is data in a time series, and includes time information at which the measurement data was measured. For example, as shown in FIG. 3, the measurement data represents acceleration (FIG. 3(1)) and heart rate (FIG. 3(2)) on the vertical axis in correspondence with time on the horizontal axis.

[0019] The estimation unit 22 estimates the state of the patient P along the time series from the measurement data of the patient P stored in the measurement data storage unit 26. Then, the estimation unit 22 stores information representing the estimated state in the state data storage unit 27, distinguishing between each patient P. For example, the estimation unit 22 estimates the state of the patient P along the time series, such as the level of restlessness, the level of awakening, the level of sleep, the level of activity, whether the arrhythmia is normal or abnormal, whether the cardiac function is normal or abnormal, whether the respiratory function is normal or abnormal, whether the brain function is normal or abnormal, the level of stress, the value of the Glasgow Coma Scale (GCS), and the value of the Japan Coma Scale (JCS). As an example, the estimation unit 22 calculates a score representing the degree to which the patient P is restless, corresponding to the time on the horizontal axis, based on the acceleration and heart rate, which are the measurement data, and plots it on the vertical axis, as shown in FIG. 4, and estimates that the patient P is restless when the score is equal to or greater than a threshold value (e.g., 0.5). As another example, the estimation unit 22 estimates whether the cardiac function is normal or abnormal based on a change along a time series of blood pressure, which is measurement data (for example, whether the change is increasing or decreasing).

[0020] The generating unit 23 generates text data representing the state of the patient P in a predetermined time period based on the estimated state of the patient P along the time series stored in the state data storage unit 27. The generating unit 23 then stores the generated text data in the text data storage unit 28, distinguishing between each patient P. For example, the estimating unit 22 generates text data representing the state of the patient P for each hour, as shown in FIG. 5(1), from score data representing the degree of agitation along the time series as shown in FIG. 4. That is, in the example of FIG. 5(1), the estimating unit 22 generates text data representing the state of the patient P, such as "sleep" for the time period "22:00", "awake" for the time period "1:00", and "agitated" for the time period "2:00". Note that, although the unit of the "time period" is set to one hour here, any length of time, such as several tens of minutes or several hours, may be used as the unit of the "time period".

[0021] The generating unit 23 may generate text data representing the state of the patient P in a predetermined time period based on a plurality of states among the states of the patient P estimated along a time series. For example, the generating unit 23 generates text data representing the state of the patient P in a predetermined time period from a plurality of states estimated X minutes before the predetermined time period. As an example, the generating unit 23 generates text data representing the state of the patient P in a predetermined time period after the predetermined time period based on a plurality of states of the patient P estimated along a time series, namely, a restlessness level, a wakefulness level, a sleep level, and an activity level, according to the following preset rules. For example, as a rule, when 80% of the time before the predetermined time period is spent sleeping, when 80% of the time is spent drowsy, it is called "sleeping", when 80% of the time is spent drowsy, it is called "restless", when more than half of the time is spent awake and active, it is called "wakeful", when 50-80% of the time is spent sleeping or drowsiness and 50-20% of the time is awake, it is called "repeated sleep and wakefulness", and it is associated with the predetermined time period. In addition, when generating text data, the generating unit 23 is not limited to using the estimated condition of the patient P at a time before the target predetermined time period, but may use the estimated condition of the patient P at a time preset for the predetermined time period, such as the estimated condition of the patient P during the predetermined time period or the estimated condition of the patient P at a time after the predetermined time period. In this way, the generating unit 23 may generate text data representing the condition of the patient P in the predetermined time period according to the proportion of the estimated condition of the patient P within the time preset for the predetermined time period.

[0022] The generating unit 23 may generate text data representing the state of the patient P in a time period that further includes a plurality of time periods, based on text data representing the state of the patient P in a plurality of time periods, such as every hour, as shown in FIG. 5(1). For example, like the text data represented by the sentence "restless at night, repeating sleep and restless state for 2-3 hours" shown in FIG. 5(2), the generating unit 23 may generate text data representing the occurrence of a state such as "restless" or "repeated sleep and restless state" in a time period such as "nighttime" or "2-3 hours". However, the generating unit 23 is not limited to generating the text data as shown in FIG. 5(2) from the text data representing the state of the patient P for each of the plurality of time periods shown in FIG. 5(1), and may generate the text data from one or more states of the patient P estimated by the estimating unit 22. The generating unit 23 may generate text data representing the state of the patient P in a finer time period, based on the state of the patient P estimated along a time series as shown in FIG. 4 or measurement data along a time series. For example, within the text data of the sentence shown in Figure 5 (3) "Patient P exhibits disturbing behavior between 1:20-1:50 and 4:30-5:00", text data may be generated that represents the condition of Patient P in time periods of minutes, not just in hourly time periods.

[0023] The generating unit 23 may generate text data representing the condition of the patient P in a predetermined time period by inputting the estimated condition and measurement data of the patient P to a learning model generated in advance. In this case, the learning model is generated by learning, for example, the condition and measurement data of the patient P estimated as described above and the text data representing the condition of the patient P recorded in an electronic medical record or the like by a nurse who cared for the patient P as teacher data. The text data stored in the electronic medical record may be, for example, a predetermined item of a nursing record or objective data representing information obtained from a physical examination / test, which is an O (Object) item in a problem-oriented medical record called SOAP.

[0024] The registration unit 24 registers the text data stored in the text data storage unit 28 in the electronic medical record for each patient P stored in the patient data storage unit 29. In particular, the registration unit 24 registers the text data in the electronic medical record together with time data indicating a predetermined time period to which the text data indicating the patient's condition applies. Note that the registration unit 24 is not limited to registering the text data in the electronic medical record, and may register the text data in another data file set in advance.

[0025] Specifically, the registration unit 24 first displays and outputs the text data of the patient P stored in the text data storage unit 28 on the display device 12 prior to the registration of the text data so that the registered nurse who is related to the patient P by caring for the patient P can view the text data. As an example, as shown in FIG. 6(1), the registration unit 24 displays and outputs text data (e.g., insomnia, wakefulness, restlessness) representing the state of the patient P for each time period in a text box set for each time period in correspondence with the time set on the horizontal axis. At this time, the registration unit 24 displays the measurement data of the patient P stored in the measurement data storage unit 26 together with the text data in correspondence with the time on the horizontal axis. For example, in the example of FIG. 6(1), the measurement data of acceleration is displayed in correspondence with the time on the horizontal axis. Furthermore, the registration unit 24 outputs the text data displayed in the text box so that it can be corrected, and displays the text "Please correct as necessary" to prompt the nurse to make corrections. In this way, when the nurse corrects the text data in the text box using the input device 11, the registration unit 24 accepts the input of the corrected text data. Thereafter, when the nurse performs a registration operation using the input device 11, the registration unit 24 registers the text data entered in the text box together with the time data in the electronic medical record of patient P. For example, after displaying "This description will be transcribed. Are you sure?" on a screen such as that shown in Fig. 6(2) and then operating the "OK" button by the nurse, the registration unit 24 registers the text data entered in the text box together with the time data in the electronic medical record of patient P.

[0026] Here, another example of the registration of text data by the registration unit 24 will be described with reference to FIG. 7. When the text data is expressed as a sentence, the registration unit 24 outputs the text data in the sentence in a text box so that it can be corrected as shown in FIG. 7(1). Furthermore, the registration unit 24 displays the words "Please correct as necessary" to encourage the nurse to correct the text data. In this way, when the nurse corrects the text data in the text box using the input device 11, the registration unit 24 accepts the input of the corrected text data. For example, as shown by the underline in the text box in FIG. 7(2), when the text data "Infusion removed. Restraint started at 1:30" is added and input, and then the "OK" button is operated, the text data input in the text box is registered in a predetermined item in the electronic medical record of patient P. At this time, the registration unit 24 registers the text data expressed as a sentence as objective data representing information obtained from physical examination and examination, which is an O (Object) item in a problem-oriented medical record called SOAP in the electronic medical record. The registration unit 24 may register the measurement data of the patient P together with information corresponding to the time of measurement in a predetermined item in the electronic medical record of the patient P. For example, the registration unit 24 may register in the electronic medical record, for example, "2021 / 5 / XX morning heart rate 95 bpm." This allows the measurement data to be directly registered in the electronic medical record.

[0027] When displaying text data represented by sentences on the display device 12 as shown in FIG. 7, the registration unit 24 may also display and output the measurement data of the corresponding patient P together with the text data. For example, the registration unit 24 may display and output the measurement data in a format as shown in FIG. 6. The registration unit 24 may simultaneously display and output text data representing the condition of the patient P for each time period as shown in FIG. 6, text data in sentences as shown in FIG. 7, and further the measurement data. The registration unit 24 may display and output image information (e.g., video images) of the patient P together with the text data and the measurement data. This allows the nurse to correct and register the text data by referring to the measurement data.

[0028] [Operation] Next, the operation of the above-mentioned text data generating device 20 will be described mainly with reference to the flowchart of FIG.

[0029] First, the text data generating device 20 acquires, via the communication device 2, measurement data of the patient P measured by the sensor 1 attached to the patient P or installed near the bed or in the patient P's room (step S1). For example, the text data generating device 20 acquires, as measurement data along the time series of the patient P, physical information that can be expressed in numerical values ​​such as acceleration as shown in Fig. 3(1), heart rate as shown in Fig. 3(2), body temperature, blood pressure, blood oxygen saturation (SpO2), respiratory rate, acceleration (amount of activity), number of steps, and number of ascents and descents, and image information such as video images capturing the movements of the patient P.

[0030] Next, the text data generating device 20 estimates the chronological state of the patient P from the acquired measurement data of the patient P (step S2). For example, the text data generating device 20 estimates the chronological state of the patient P, such as restlessness, wakefulness, sleep, activity level, arrhythmia, cardiac function, respiratory function, brain function, stress, GCS, and JCS, as shown in FIG.

[0031] Next, the text data generating device 20 generates text data representing the condition of the patient P in a predetermined time period from the estimated condition of the patient P along the time series (step S3). For example, the text data generating device 20 generates text data representing the condition of the patient P every hour as shown in Fig. 5(1), or generates text data representing the condition of the patient P in a day in sentences as shown in Figs. 5(2) and (3).

[0032] Thereafter, the text data generating device 20 displays and outputs the generated text data representing the condition of the patient P for each time period on the display device 12 so that the nurse who is caring for the patient P can view it (step S4). At this time, the text data generating device 20 outputs the text data displayed in the text box so that it can be modified, as shown in Figs. 6 and 7. The text data generating device 20 displays the measurement data of the patient P together with the text data. The measurement data displayed together with the text data is not limited to physical information such as the acceleration shown in Fig. 6, and may be image information obtained by photographing the patient P.

[0033] Then, when the text data displayed in the text box is corrected by the nurse, the text data generating device 20 accepts input of the corrected text data (step S4). After that, when the nurse performs an operation to register the text data, the text data generating device 20 registers the text data entered in the text box in the electronic medical record of patient P (step S5).

[0034] As described above, in this embodiment, the text data generating device 20 estimates the state of the patient P along a time series from the measurement data along a time series measured from the patient P, and further generates text data representing the state of the patient P in a predetermined time period from the estimated state of the patient P. In this way, since the text data generating device 20 automatically generates the state of the patient P in a predetermined time period as text data, it is not necessary for a nurse or the like to write the state of the patient P in text, and the work of recording in a medical chart or the like can be simplified. Therefore, the burden of the work of recording the state of the patient P in a medical chart or the like by the nurse or the like can be reduced, recording errors can be suppressed, and the nurse or the like can refer to the record of the state of the patient P later and provide appropriate care.

[0035] <Embodiment 2> Next, a second embodiment of the present invention will be described with reference to Fig. 9 to Fig. 11. Fig. 9 to Fig. 10 are block diagrams showing the configuration of a text data generating device in the second embodiment, and Fig. 11 is a flowchart showing the operation of the text data generating device. Note that this embodiment shows an outline of the configuration of the text data generating device and the text data generating method described in the above embodiments.

[0036] First, the hardware configuration of the text data generating device 100 in this embodiment will be described with reference to Fig. 9. The text data generating device 100 is configured as a general information processing device, and is equipped with the following hardware configuration, as an example. ·CPU(Central Processing Unit)101(Arithmetic unit) ROM (Read Only Memory) 102 (storage device) RAM (Random Access Memory) 103 (storage device) · Programs 104 loaded into RAM 103 A storage device 105 for storing a program group 104 A drive device 106 that reads and writes data from a storage medium 110 external to the information processing device A communication interface 107 for connecting to a communication network 111 outside the information processing device Input / output interface 108 for inputting and outputting data Bus 109 connecting each component

[0037] The text data generating device 100 can be equipped with an acquisition unit 121, an estimation unit 122, and a generation unit 123 shown in Fig. 10 by the CPU 101 acquiring the program group 104 and executing it. The program group 104 is stored in the storage device 105 or the ROM 102 in advance, for example, and the CPU 101 loads the program group 104 into the RAM 103 and executes it as necessary. The program group 104 may be supplied to the CPU 101 via the communication network 111, or may be stored in the storage medium 110 in advance, and the drive device 106 may read out the program and supply it to the CPU 101. However, the acquisition unit 121, the estimation unit 122, and the generation unit 123 described above may be constructed of dedicated electronic circuits for realizing such means.

[0038] 9 shows an example of the hardware configuration of the information processing device that is the text data generating device 100, and the hardware configuration of the information processing device is not limited to the above-mentioned case. For example, the information processing device may be configured with a part of the above-mentioned configuration, such as not having the drive device 106.

[0039] Then, the text data generating device 100 executes the text data generating method shown in the flowchart of FIG. 11 by the functions of the acquiring unit 121, the estimating unit 122, and the generating unit 123 which are constructed by the program as described above.

[0040] As shown in FIG. 11, the text data generating device 100 Obtain subject information that represents the subject's physical condition over time (step S101); A state of the subject along a time series is estimated based on the subject information (step S102); generating text data representing the state of the subject in a predetermined time period based on the estimated state of the subject along the time series (step S103); The following process is executed.

[0041] The present invention is configured as described above, so that the text data generating device 100 acquires subject information along a time series measured from a patient subject, estimates the subject's condition along a time series, and generates text data representing the subject's condition in a predetermined time period from the estimated condition. In this way, since the text data generating device 100 automatically generates the subject's condition in a predetermined time period as text data, for example, when the subject is a patient, it is not necessary for a nurse to write the subject's condition in text, and the work of recording in a medical chart or the like can be simplified. Therefore, the burden of the work of recording the subject's condition in a medical chart or the like by a nurse can be reduced, recording errors can be suppressed, and appropriate nursing can be performed by referring to the record.

[0042] The above-mentioned program can be stored and supplied to a computer using various types of non-transitory computer readable media. The non-transitory computer readable medium includes various types of tangible storage media. Examples of the non-transitory computer readable medium include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROM (Read Only Memory), CD-R, CD-R / W, and semiconductor memory (e.g., mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory)). The program may also be supplied to a computer by various types of transitory computer readable media. Examples of the transitory computer readable medium include electric signals, optical signals, and electromagnetic waves. The transitory computer readable medium can supply the program to a computer via a wired communication path such as an electric wire and an optical fiber, or via a wireless communication path.

[0043] Although the present invention has been described above with reference to the above-mentioned embodiments, the present invention is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. In addition, at least one or more functions of the above-mentioned acquisition unit 121, estimation unit 122, and generation unit 123 may be executed by an information processing device installed and connected anywhere on a network, that is, they may be executed by so-called cloud computing.

[0044] <Additional Notes> A part or all of the above-described embodiments can be described as follows: The following is an outline of the configurations of the text data generation method, the text data generation device, and the program according to the present invention. However, the present invention is not limited to the following configurations. (Appendix 1) acquiring subject information representing the subject's physical condition over time; Estimating a state of the subject along a time series based on the subject information; generating text data representing the state of the subject in a predetermined time period based on the estimated state of the subject along the time series; A method for generating text data. (Appendix 2) 2. A text data generation method according to claim 1, comprising: generating text data representing the state of the subject for each of a plurality of predetermined time periods; A method for generating text data. (Appendix 3) 3. A text data generation method according to claim 2, comprising: generating text data representing the state of the subject during a time period that combines the plurality of predetermined time periods based on the state of the subject during each of the plurality of predetermined time periods; A method for generating text data. (Appendix 4) A text data generation method according to any one of claims 1 to 3, generating text data representing the state of the subject during a predetermined time period based on the state of the subject estimated at a preset time for the predetermined time period; A method for generating text data. (Appendix 5) A text data generation method according to any one of Supplementary Note 1 to 4, registering the text data representing the state of the subject during a predetermined time period together with time data identifying the predetermined time period in a data file established for the subject; A method for generating text data. (Appendix 6) 6. A text data generation method according to claim 5, comprising: displaying and outputting the text data so that a registrant having a preset relationship with the target person can view it, and then, when a registration operation is performed by the registrant, registering the text data in the data file; A method for generating text data. (Appendix 7) 7. A text data generation method according to claim 6, further comprising: displaying and outputting the text data so that the data can be modified, and thereafter, when the registrant modifies and registers the text data, registering the modified text data in the data file; A method for generating text data. (Appendix 8) 8. A text data generation method according to claim 6, further comprising: When displaying and outputting the text data, displaying and outputting the subject information acquired from the subject together with the text data. A method for generating text data. (Appendix 9) 9. A text data generation method according to claim 8, further comprising: displaying and outputting the text data generated for each of a plurality of predetermined time periods in a time series, and displaying and outputting the subject information acquired from the subject in a time series together with the text data; A method for generating text data. (Appendix 10) A text data generation method according to any one of Supplementary Notes 1 to 9, registering the subject information together with information corresponding to the time the subject information was acquired in a data file established for the subject; A method for generating text data. (Appendix 11) An acquisition unit that acquires subject information that represents a physical condition of the subject over time; An estimation unit that estimates a state of the subject along a time series based on the subject information; A generation unit that generates text data representing a state of the subject in a predetermined time period based on the estimated state of the subject along the time series; A text data generating device comprising: (Appendix 12) 12. The text data generating device according to claim 11, The generation unit generates text data representing a state of the subject for each of a plurality of predetermined time periods. Text data generator. (Appendix 13) 13. The text data generating device according to claim 12, The generation unit generates text data representing the state of the subject in a time period that combines the plurality of predetermined time periods based on the state of the subject in each of the plurality of predetermined time periods. Text data generator. (Appendix 14) 14. A text data generating device according to any one of claims 11 to 13, The generation unit generates text data representing the state of the subject in a predetermined time period based on the state of the subject estimated at a time preset for the predetermined time period. Text data generator. (Appendix 15) 15. A text data generating device according to any one of claims 11 to 14, A registration unit is provided for registering the text data representing the state of the subject in a predetermined time period together with time data identifying the predetermined time period in a data file set for the subject. Text data generator. (Appendix 16) 16. The text data generation device according to claim 15, The registration unit displays and outputs the text data so that a registrant having a preset relationship with the target person can view the text data, and then, when a registration operation is performed by the registrant, registers the text data in the data file. Text data generator. (Appendix 17) 17. The text data generating device according to claim 16, the registration unit displays and outputs the text data so that the text data can be corrected, and thereafter, when the registrant corrects the text data and performs a registration operation, registers the corrected text data in the data file. Text data generator. (Appendix 18) 18. The text data generating device according to claim 16, The registration unit, when displaying and outputting the text data, displays and outputs the subject information acquired from the subject together with the text data. Text data generator. (Appendix 19) 19. A text data generation apparatus according to claim 18, further comprising: The registration unit displays and outputs the text data generated for each of a plurality of predetermined time periods in chronological order, and displays and outputs the subject information acquired from the subject in chronological order together with the text data. Text data generator. (Appendix 20) 20. A text data generating device according to any one of claims 11 to 19, The registration unit registers the subject information together with information corresponding to a time when the subject information was acquired in a data file set for the subject. Text data generator. (Appendix 21) In the information processing device, acquiring subject information representing the subject's physical condition over time; Estimating a state of the subject along a time series based on the subject information; generating text data representing the state of the subject in a predetermined time period based on the estimated state of the subject along the time series; A computer-readable storage medium that stores a program for executing processing. [Explanation of symbols]

[0045] 1 Sensor 2. Communications equipment 10 Text Data Generation System 11 Input Devices 12 Display device 20 Text data generator 21 Acquisition Department 22 Estimation part 23 Generation part 24 Registration Department 26 Measurement data storage unit 27 Status data storage unit 28 Text data storage unit 29 Patient data storage unit 100 Text data generator 101 CPU 102 ROM 103 RAM 104 Programs 105 Storage device 106 Drive device 107 Communication Interface 108 Input / Output Interface 109 Bus 110 Storage medium 111 Communication Network 121 Acquisition Department 122 Estimation Department 123 Generation part

Claims

1. An information processing device comprising: acquiring subject information representing the subject's physical condition over time; Estimating a state of the subject along a time series based on the subject information; generating text data representing the state of the subject for each of a plurality of predetermined time periods based on the state of the subject along the estimated time series, and generating text data representing the state of the subject for a time period combining the plurality of predetermined time periods based on the state of the subject for each of the plurality of predetermined time periods; A method for generating text data.

2. An information processing device comprising: acquiring subject information representing the subject's physical condition over time; Estimating a state of the subject along a time series based on the subject information; generating text data representing the state of the subject in a predetermined time period based on the estimated state of the subject along a time series, and generating text data representing the state of the subject in a predetermined time period based on a ratio of the state of the subject estimated at a preset time with respect to the predetermined time period; A method for generating text data.

3. 3. The text data generation method according to claim 1, further comprising: The information processing device, registering the text data representing the state of the subject during a predetermined time period together with time data identifying the predetermined time period in a data file established for the subject; A method for generating text data.

4. 4. The text data generation method according to claim 3, The information processing device, displaying and outputting the text data so that a registrant having a preset relationship with the target person can view it, and then, when a registration operation is performed by the registrant, registering the text data in the data file; A method for generating text data.

5. 5. The text data generation method according to claim 4, The information processing device, displaying and outputting the text data so that the data can be modified, and thereafter, when the registrant modifies and registers the text data, registering the modified text data in the data file; A method for generating text data.

6. 6. The text data generation method according to claim 4, further comprising: The information processing device, When displaying and outputting the text data, displaying and outputting the subject information acquired from the subject together with the text data. A method for generating text data.

7. 7. A text data generation method according to claim 6, comprising: The information processing device, displaying and outputting the text data generated for each of a plurality of predetermined time periods in a chronological order, and displaying and outputting the subject information acquired from the subject in a chronological order together with the text data; A method for generating text data.

8. A text data generation method according to any one of claims 1 to 7, comprising: The information processing device, registering the subject information together with information corresponding to the time the subject information was acquired in a data file established for the subject; A method for generating text data.

9. An acquisition unit that acquires subject information that represents a physical condition of the subject over time; An estimation unit that estimates a state of the subject along a time series based on the subject information; a generation unit that generates text data representing the state of the subject for each of a plurality of predetermined time periods based on the state of the subject along the estimated time series, and generates text data representing the state of the subject for a time period combining the plurality of predetermined time periods based on the state of the subject for each of the plurality of predetermined time periods; A text data generating device comprising:

10. An acquisition unit that acquires subject information that represents a physical condition of the subject over time; An estimation unit that estimates a state of the subject along a time series based on the subject information; a generating unit that generates text data representing the state of the subject in a predetermined time period based on the estimated state of the subject along a time series, and generates text data representing the state of the subject in a predetermined time period based on a ratio of the state of the subject estimated at a preset time with respect to the predetermined time period; A text data generating device comprising:

11. 11. The text data generating device according to claim 9, A registration unit is provided which registers the text data representing the state of the subject in a predetermined time period together with time data identifying the predetermined time period in a data file set for the subject. Text data generator.

12. The text data generating device according to claim 11, The registration unit displays and outputs the text data so that a registrant having a preset relationship with the target person can view the text data, and then, when a registration operation is performed by the registrant, registers the text data in the data file. Text data generator.

13. 13. The text data generating device according to claim 12, the registration unit displays and outputs the text data so that the text data can be corrected, and thereafter, when the registrant corrects the text data and performs a registration operation, registers the corrected text data in the data file. Text data generator.

14. 14. The text data generating device according to claim 12, The registration unit, when displaying and outputting the text data, displays and outputs the subject information acquired from the subject together with the text data. Text data generator.

15. 15. The text data generating device according to claim 14, The registration unit displays and outputs the text data generated for each of a plurality of predetermined time periods in chronological order, and displays and outputs the subject information acquired from the subject in chronological order together with the text data. Text data generator.

16. 16. A text data generating device according to claim 9, further comprising: The registration unit registers the subject information together with information corresponding to a time when the subject information was acquired in a data file set for the subject. Text data generator.

17. In the information processing device, acquiring subject information representing the subject's physical condition over time; Estimating a state of the subject along a time series based on the subject information; generating text data representing the state of the subject for each of a plurality of predetermined time periods based on the state of the subject along the estimated time series, and generating text data representing the state of the subject for a time period combining the plurality of predetermined time periods based on the state of the subject for each of the plurality of predetermined time periods; A program for executing a process.

18. In the information processing device, acquiring subject information representing the subject's physical condition over time; Estimating a state of the subject along a time series based on the subject information; generating text data representing the state of the subject in a predetermined time period based on the estimated state of the subject along a time series, and generating text data representing the state of the subject in a predetermined time period based on a ratio of the state of the subject estimated at a preset time with respect to the predetermined time period; A program for executing a process.

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