JP2019016137A - Recording program, recording method and recording apparatus - Google Patents

Abstract

To provide a recording program capable of recording an action that a recording person takes on an object person of recording more easily than a conventional technique.SOLUTION: A recording program causes a computer to execute the processes of: acquiring a current position of a recording person; acquiring a speech of the recording person; acquiring, from a storage part in which a staying position, a name and an identifier of an object person of recording are stored associatively with one another, a name and an identifier made to correspond to a staying position corresponding to the acquired current position; performing speech recognition on the acquired speech; determining whether the acquired name is included in a first character string generated through the speech recognition; generating, when the name is included, recording object information associated with the object person of recording based upon the speech; and recording the identifier, corresponding to the name included in the acquired first character string, and the recording object information together associatively with each other.SELECTED DRAWING: Figure 11

Description

  The present invention relates to a recording program, a recording method, and a recording apparatus.

  There is known a technique for recognizing a content uttered after a specific word as a search query when a specific word is recognized. In addition, it recognizes the voice of the supervisor in the passenger compartment, identifies the supervisor from the call including the name of the supervisor, and based on the characteristics of the supervisor registered in advance, A technique for searching for a person to be monitored and specifying its position is also known (see, for example, Patent Document 1).

JP2012-121387A

  As described above, a technique that uses a specific word as a trigger for voice recognition and a technique that specifies a person to be monitored from voice are known. On the other hand, electronic medical records used in the medical field may have a function that supports input of records of various actions such as nursing actions and medical actions. A recorder such as a nurse or a doctor may input a record of the above action into the tablet terminal using the function. However, when inputting a record, since the record person selects a record target person such as a patient and then inputs the record for the record target person, there is a problem that it takes time to input.

  In view of this, an object of one aspect is to provide a recording program, a recording method, and a recording apparatus capable of more easily recording an action performed by a recording person on a recording target person as compared with a conventional method.

  In one embodiment, the recording program acquires the current position of the recording person, acquires the sound of the recording person, and acquires from the storage unit that stores the stay position, the name, and the identifier of the recording target person in association with each other. The name and identifier associated with the stay position corresponding to the current position are acquired, voice recognition is performed on the acquired voice, and the first character string generated based on the voice recognition is acquired. Whether or not the designation is included, and if the designation is included, recording target information on the recording target person is generated based on the voice and included in the first character string. A computer is caused to execute a process of recording the identifier corresponding to the designation and the recording target information in association with each other.

  The action performed by the recording person on the person to be recorded can be more easily recorded as compared with the conventional method.

FIG. 1 shows an example of a recording system. FIG. 2 is an example of a hardware configuration of the terminal device. FIG. 3 is an example of a hardware configuration of the server apparatus. FIG. 4 is an example of a block diagram of the terminal device and the server device. FIG. 5 is an example of a patient master storage unit. FIG. 6 is an example of the extraction target storage unit. FIG. 7 shows an example of the data storage unit. FIG. 8 is a flowchart illustrating an example of acquisition processing executed by the current position acquisition unit and the patient data acquisition unit. FIG. 9 is a flowchart illustrating an example of a voice recognition process executed by the voice recognition unit. FIG. 10 is a flowchart illustrating an example of a recording process executed by the data recording unit. FIGS. 11A to 11E are diagrams for explaining processing until nursing record data is generated. FIG. 12 is a flowchart illustrating an example of request processing executed by the data processing unit. FIG. 13 shows another example of the data storage unit.

  Hereinafter, an embodiment for carrying out this case will be described with reference to the drawings. In the embodiment described below, a nursing action performed by a nurse is described as an example of an action performed by a recorder. However, for example, a medical practice performed by a doctor or a dentist may be used. Therefore, if it is a nursing action performed by a nurse, a nursing record is generated, and if it is a medical action performed by a doctor or dentist, a medical record is generated. Note that nursing records and medical records are examples of record target information.

  FIG. 1 shows an example of a recording system S. The recording system S includes a terminal device 100 and a server device 200 as recording devices. The terminal device 100 and the server device 200 are connected by wired communication and wireless communication. For example, the terminal device 100 is connected to an access point AP1 installed in the hospital room R1 by wireless communication. For example, the access point AP1 and the access point AP2 installed in the hospital room R2 are connected to the communication network NW by wired communication. On the other hand, the server device 200 is connected to the communication network NW by wired communication. Therefore, the terminal device 100 and the server device 200 can transmit and receive various data to and from each other via the access points AP1 and AP2 and the communication network NW. The communication network NW includes, for example, a local area network (LAN).

  The terminal device 100 is a portable terminal carried by the nurse N. In FIG. 1, a smart device (specifically, a smartphone) is shown as an example of the terminal device 100. An external microphone (for example, a pin microphone) 10 is connected to the terminal device 100. The sound collecting part of the external microphone 10 is hidden by a mask 20 worn by the nurse N. By arranging the sound collecting part of the external microphone 10 at the mouth of the nurse N, the external microphone 10 can easily acquire the voice uttered by the nurse N. In other words, the external microphone 10 can avoid the acquisition of the voice uttered by the patient P. The nurse N goes back and forth between the hospital rooms R1, R2, etc., and creates a nursing record by voice while performing a nursing action on each patient P lying on the bed 30.

  Although details will be described later, the access points AP1 and AP2 hold the room identification data for identifying the rooms R1 and R2 and the ward identification data for identifying the wards H1 and H2. The terminal device 100 can identify the current position representing the current position of the nurse N by acquiring the room identification data and the ward identification data from the access point AP1 or the access point AP2. Instead of the access points AP1 and AP2, a beacon terminal having a wireless communication method different from that of the access points AP1 and AP2 may be used.

  The server device 200 is disposed, for example, in the server room R3 of the ward H2. When the server apparatus 200 receives a data acquisition request from the terminal apparatus 100, the server apparatus 200 transmits data corresponding to the acquisition request to the terminal apparatus 100. The data transmitted by the server device 200 includes, for example, a patient ID for identifying the patient P and the name of the patient P. On the other hand, when the server apparatus 200 receives a data storage request from the terminal apparatus 100, the server apparatus 200 stores data corresponding to the storage request. The data stored in the server device 200 includes, for example, nursing record data obtained by digitizing or digitizing a nursing record.

  Next, the hardware configuration of the terminal device 100 described above will be described with reference to FIG.

  FIG. 2 is an example of a hardware configuration of the terminal device 100. As illustrated in FIG. 2, the terminal device 100 includes a central processing unit (CPU) 100A as a processor, a random access memory (RAM) 100B, a read only memory (ROM) 100C, a non-volatile memory (NVM) 100D, and a radio frequency. (RF) circuit 100E is included. An antenna 100E ′ is connected to the RF circuit 100E. A CPU that realizes a communication function may be used instead of the RF circuit 100E.

  The terminal device 100 includes an input terminal 100F, a camera 100G, a touch panel 100H, a display 100I, and an internal microphone 100J. An external microphone 10 is connected to the input terminal 100F. The CPU 100A to the internal microphone 100J are connected to each other by an internal bus 100K. At least the CPU 100A and the RAM 100B cooperate to realize a computer. In place of the CPU 100A, a micro processing unit (MPU) may be used as a processor.

  In the above-described RAM 100B, the program stored in the ROM 100C or the NVM 100D is stored by the CPU 100A. When the stored program is executed by the CPU 100A, various functions to be described later are realized, and various processes to be described later are executed. In addition, what is necessary is just to make a program according to the flowchart mentioned later.

  Next, the hardware configuration of the server device 200 described above will be described with reference to FIG.

  FIG. 3 is an example of a hardware configuration of the server device 200. As illustrated in FIG. 3, the server device 200 includes at least a CPU 200A as a processor, a RAM 200B, a ROM 200C, and a network I / F 200D. The server device 200 may include at least one of a hard disk drive (HDD) 200E, an input I / F 200F, an output I / F 200G, an input / output I / F 200H, and a drive device 200I as necessary. The CPU 200A to the drive device 200I are connected to each other by an internal bus 200J. At least the CPU 200A and the RAM 200B cooperate to realize a computer. Note that the above-described MPU may be used as a processor instead of the CPU 200A.

  An input device 710 is connected to the input I / F 200F. Examples of the input device 710 include a keyboard and a mouse. A display device 720 is connected to the output I / F 200G. An example of the display device 720 is a liquid crystal display. A semiconductor memory 730 is connected to the input / output I / F 200H. Examples of the semiconductor memory 730 include a universal serial bus (USB) memory and a flash memory. The input / output I / F 200 </ b> H reads programs and data stored in the semiconductor memory 730. The input I / F 200F and the input / output I / F 200H include, for example, a USB port. The output I / F 200G includes a display port, for example.

  A portable recording medium 740 is inserted into the drive device 200I. Examples of the portable recording medium 740 include a removable disk such as a Compact Disc (CD) -ROM and a Digital Versatile Disc (DVD). The drive device 200I reads a program and data recorded on the portable recording medium 740. The network I / F 200D includes, for example, a LAN port. The network I / F 200D is connected to the communication network NW described above.

  In the above-described RAM 200B, a program stored in the ROM 200C or the HDD 200E is stored by the CPU 200A. In the RAM 200B, the program recorded on the portable recording medium 740 is stored by the CPU 200A. When the stored program is executed by the CPU 200A, various functions to be described later are realized, and various processes to be described later are executed. In addition, what is necessary is just to make a program according to the flowchart mentioned later.

  Next, functional configurations of the terminal device 100 and the server device 200 described above will be described with reference to FIGS.

  FIG. 4 is an example of a block diagram of the terminal device 100 and the server device 200. FIG. 5 is an example of the patient master storage unit 210. FIG. 6 shows an example of the extraction target storage unit 220. FIG. 7 shows an example of the data storage unit 230. In FIG. 4, hardware elements included in the terminal device 100 are indicated by broken lines.

  First, the terminal device 100 will be described. As illustrated in FIG. 4, the terminal device 100 includes a control unit 110. The control unit 110 controls the operation of the terminal device 100. The control unit 110 includes a current position acquisition unit 111, a patient data acquisition unit 112, and a voice recognition unit 113. In addition, the control unit 110 includes a data recording unit 114, a data transmission unit 115, and a display control unit 116. Note that the control unit 110 is realized by, for example, the CPU 100A and the RAM 100B described above.

  The current position acquisition unit 111 acquires the current position of the nurse N through the RF circuit 100E. More specifically, the current position acquisition unit 111 acquires the current position using wireless communication with the access points AP1 and AP2 installed in the hospital rooms R1 and R2 where the nurse N stays. For example, when the nurse N enters the room R1, the current position acquisition unit 111 acquires the room identification data “room 801” and the ward identification data “West ward (8th floor)” from the access point AP1 as the current position. Thereby, the current position of the nurse N can be specified.

  The patient data acquisition unit 112 acquires patient data from the server device 200 through the RF circuit 100E. More specifically, the patient data acquisition unit 112 acquires the patient ID of the patient P who resides in the stay position corresponding to the current position and the name of the patient P based on the current position acquired by the current position acquisition unit 111. The request is transmitted to the server device 200. Although details will be described later, the server device 200 stores a ward and a ward as a staying position where the patient P is present in association with the patient ID and the name of the patient P. Therefore, when the patient data acquisition unit 112 transmits the acquisition request to the server device 200 based on the current position, the patient data acquisition unit 112 includes the patient ID and the patient associated with the stay position of the patient P corresponding to the current position. The name P is acquired from the server device 200 as patient data.

  The voice recognition unit 113 acquires the voice of the nurse N through the external microphone 10. When the voice recognition unit 113 acquires the voice, the voice recognition unit 113 performs voice recognition on the acquired voice. Thereby, the voice recognition unit 113 generates text data (hereinafter simply referred to as text) corresponding to the voice of the nurse N. Note that when the voice recognition unit 113 acquires sounds other than the voice of the nurse N (for example, sounds existing around the nurse N such as footsteps, noise, and noise) together with the voice of the nurse N, noise canceling is performed. Using the process, sounds other than the voice of nurse N are erased, and the voice of nurse N is acquired. Thereby, the voice recognition rate of the voice recognition unit 113 is improved. In addition, not only generating the text according to the voice is called voice recognition, but also the voice recognition of the nurse N from various sounds including the voice of the nurse N may be included in the voice recognition.

  The data recording unit 114 determines whether or not the text generated by the voice recognition unit 113 includes the name of the patient P acquired by the patient data acquisition unit 112. When the name of the patient P is included in the text, the data recording unit 114 extracts the text that appears after the name of the patient P from the text, and the patient data acquisition unit 112 corresponding to the name included in the text The acquired patient ID and the extracted text are associated with each other and recorded in the nursing record data. When the patient ID and the text are recorded in the nursing record data, the data recording unit 114 generates a storage request including the nursing record data and outputs it to the data transmission unit 115. The data transmission unit 115 transmits a storage request including nursing record data to the server device 200 through the RF circuit 100E.

  The display control unit 116 controls a graphical user interface (GUI) displayed on the display 100I. For example, when the normal process cannot be executed in the course of various processes executed by the data recording unit 114, the display control unit 116 displays an alarm indicating that the normal process has not been executed on the display 100I. Instead of the data recording unit 114, a current position acquisition unit 111, a patient data acquisition unit 112, a voice recognition unit 113, and the like may be used. The display control unit 116 may display nursing record data.

  Next, the server device 200 will be described. As illustrated in FIG. 4, the server device 200 includes a patient master storage unit 210, an extraction target storage unit 220, a data storage unit 230, a communication unit 240, and a data processing unit 250. The patient master storage unit 210, the extraction target storage unit 220, and the data storage unit 230 are realized by the HDD 200E described above, for example. The communication unit 240 is realized by the network I / F 200D described above, for example. The data processing unit 250 is realized by the above-described CPU 200A and RAM 200B, for example.

  The patient master storage unit 210 stores patient data related to a plurality of patients P, respectively. Specifically, as illustrated in FIG. 5, the patient master storage unit 210 includes a plurality of components such as a stay position of the patient P specified by a ward (floor) and a hospital room, a patient ID, and a plurality of names of the patient P. Are stored in association with each other. In FIG. 5, the name of the patient P is shown as an example of the patient ID. However, as long as the patient P can be identified, an identification number assigned to the patient P may be used. The patient ID may be a combination of the identification number and name of the patient P. Further, in FIG. 5, the combination of the surname and honorific name of the patient P is shown as an example of the first designation, and the combination of the name and honorific name of the patient P is shown as an example of the second designation. The two names are not limited to these combinations. For example, in the case of an animal hospital, the title may be omitted from the combination of the name and the title. Patient data is registered and stored in the patient master storage unit 210 in advance.

  The extraction target storage unit 220 stores various keywords representing the vital signs of the patient P. Specifically, as illustrated in FIG. 6, the extraction target storage unit 220 stores a plurality of components such as keywords, recording fields, and conversion types in association with each other. The keyword is a character string that specifies a word representing a vital sign that appears in the text extracted by the data recording unit 114 of the terminal device 100. In FIG. 6, body temperature, blood pressure, and pulse are shown as examples of keywords, but are not limited thereto, and may include, for example, respiratory rate. The record field is an identifier that identifies a plurality of areas (fields) included in nursing record data. Although details will be described later, the body temperature field represents recording numerical data representing body temperature in the body temperature field in the nursing record data. The conversion type is an identifier for converting numerical information corresponding to a keyword appearing in the text extracted by the data recording unit 114 into numerical data. Although details will be described later, for example, when “body temperature is 36 degrees and 5 minutes” appears in the extracted text, the data recording unit 114 displays numerical information “36 degrees and 5 minutes” corresponding to the keyword “body temperature” based on the conversion type. It is converted into numerical data “36.5”.

  The data storage unit 230 stores nursing record data. Specifically, as shown in FIG. 7, the data storage unit 230 stores a plurality of nursing record data 40. In particular, the data storage unit 230 stores time-series nursing record data 40 for each patient ID. The nursing record data 40 includes a patient ID field 41, a body temperature field 42, a blood pressure (maximum / minimum) field 43, a pulse field 44, and a nursing record field 45. For example, the patient ID of the patient P is recorded in the patient ID field 41. For example, numerical data representing the body temperature of the patient P is recorded in the body temperature field 42. The blood pressure (maximum / minimum) field 43 and the pulse field 44 are basically the same as the body temperature field 42. In the nursing record field 45, the text extracted by the data recording unit 114 is recorded.

  When the data processing unit 250 receives various requests transmitted from the terminal device 100 through the communication unit 240, the data processing unit 250 executes various data processing. For example, when the data processing unit 250 receives an acquisition request including the current position from the terminal device 100, the patient ID associated with the stay position of the patient P corresponding to the current position and the first and second names of the patient P Are extracted from the patient master storage unit 210. The data processing unit 250 extracts keywords, recording fields, and conversion types from the extraction target storage unit 220 together with the extraction of the patient ID and the like. When the data processing unit 250 extracts the patient ID and the keyword and the like, the data processing unit 250 transmits the extracted patient ID and the like together with the keyword and the like to the terminal device 100 as patient data. On the other hand, for example, when the data processing unit 250 receives a storage request including the nursing record data 40 from the terminal device 100, the data processing unit 250 stores the nursing record data 40 included in the storage request in the data storage unit 230.

  Next, the operation of the terminal device 100 will be described with reference to FIGS.

  FIG. 8 is a flowchart illustrating an example of acquisition processing executed by the current position acquisition unit 111 and the patient data acquisition unit 112. As shown in FIG. 8, first, the current position acquisition unit 111 acquires the current position of the nurse N (step S101). As described above, for example, when the nurse N enters the room R1, the current position acquisition unit 111 acquires the room identification data and the ward identification data from the access point AP1 as the current position.

  When the process of step S101 is completed, the current position acquisition unit 111 then determines whether there has been a patient room movement (step S102). For example, when the nurse N moves from the hospital room R1 to the hospital room R2, the current position acquisition unit 111 determines that there is a patient room movement (step S102: YES), and executes the process of step S101. Thereby, the current position acquisition unit 111 acquires the ward identification data and the room identification data from the access point AP2 as the current position.

  On the other hand, if the nurse N does not move from the patient room R1, the current position acquisition unit 111 determines that the patient room has not been moved (step S102: NO), and the patient data acquisition unit 112 receives the name and patient ID of the patient P from the server device 200. Is acquired (step S103). More specifically, the patient data acquisition unit 112 generates an acquisition request including the current position, and the data transmission unit 115 transmits the acquisition request to the server device 200. For example, when the nurse N is present in the ward R1, and the current position acquisition unit 111 acquires the ward identification data “West ward (8th floor)” and the ward identification data “room 801” as the current position, patient data acquisition is performed. The unit 112 generates an acquisition request including the current position acquired by the current position acquisition unit 111, and the data transmission unit 115 transmits the acquisition request to the server device 200. When the server apparatus 200 executes data processing according to the acquisition request, the patient data acquisition unit 112 acquires the name of the patient P and the patient ID associated with the stay position of the patient P according to the current position.

  More specifically, the patient data acquisition unit 112 includes the patient ID “00 Hanako”, the first name “Mr.“ 00 ”, and the second name“ “Hanako” (see FIG. 5) is acquired as patient data. Similarly, the patient data acquisition unit 112 includes the patient ID “Taro Sato”, the first name “Sato-san” and the second name “Taro-san”, and the patient ID “XX Yuichi”, the first name “XX-kun” and The second designation “Yu-kun” is acquired as patient data. On the other hand, the patient data acquisition unit 112 excludes the patient ID “△△ Rika”, the first name “△△ chan”, and the second name “Rika-chan” of the room “room 802” different from the room “801” from the acquisition target. To do. Thereby, the patient P for whom the nurse N records the nursing action is limited. When the patient data acquisition unit 112 acquires patient data, the patient data acquisition unit 112 outputs the acquired patient data to the data recording unit 114.

  FIG. 9 is a flowchart showing an example of a voice recognition process executed by the voice recognition unit 113. FIG. 10 is a flowchart illustrating an example of a recording process executed by the data recording unit 114. FIGS. 11A to 11E are diagrams for explaining processing until the nursing record data 40 is generated. The voice recognition unit 113 may execute the voice recognition process in parallel with the acquisition process described above.

  First, as shown in FIG. 9, the voice recognition unit 113 acquires the voice of the nurse N (step S201). For example, as shown in FIG. 11A, when the nurse N speaks to one of the patients P in the room R <b> 1, the voice recognition unit 113 transmits the nurse N's through the external microphone 10. Get audio. When the process of step S201 is completed, the voice recognition unit 113 then determines whether or not a silent section has been detected (step S202). The silent section is a period in which nurse N has not spoken for a threshold time or longer. The silent section may include sounds existing around the nurse N. The threshold time can be appropriately set to about several seconds in which the end of speech can be detected. In the present embodiment, 3 seconds is set as the threshold time as an example.

  Here, the voice recognition unit 113 continues the process of step S201 until a silent section is detected (step S202: NO). For example, as shown in FIG. 11 (a), when nurse N speaks, about 1 second is generated due to breathing during or after utterance. The teacher N determines that the utterance is in progress, and does not consider the utterance to end. Similarly, the companion is not regarded as the end of the utterance. Therefore, the voice recognition unit 113 acquires a series of voices of the nurse N.

  On the other hand, when the voice recognition unit 113 detects a silent section (step S202: YES), it performs voice recognition (step S203). For example, as shown in FIG. 11 (a), when the nurse N finishes speaking and starts measuring the temperature of the patient P with a thermometer, while the temperature is being measured (for example, 90 seconds), the nurse N Do not speak. In such a case, since the threshold time (for example, 3 seconds) has elapsed since the nurse N finished speaking, the voice recognition unit 113 detects a silent section and executes voice recognition. As a result, as shown in FIG. 11C, the voice recognition unit 113 generates a text T1 from the voice of the nurse N as a voice recognition recognition result together with the utterance date and time.

  When the process of step S203 is completed, the speech recognition unit 113 holds the generated text as text for one utterance (step S204), and executes subsequent processes again in order from the process of step S201. Thus, as shown in FIG. 11 (b), when the measurement of the temperature of the patient P is completed and the nurse N resumes speaking, the voice recognition unit 113, as shown in FIG. The text T2 for one utterance is generated and held together with the utterance date and time from the voice.

  Next, as shown in FIG. 10, the data recording unit 114 acquires text for one utterance from the speech recognition unit 113 (step S301), and determines whether a name is included (step S302). More specifically, the data recording unit 114 acquires the text for one utterance from the speech recognition unit 113 in the order of utterance date and time, and the acquired text is either the first name or the second name acquired in the process of step S103. Judge whether it is included. For example, the patient data acquisition unit 112 has a first name “Mr. OO”, “Mr. Sato” and “XX-kun”, and a second name “Hanako-san” of the patient P who is in the room “room 801”. If “Taro-san” and “Yu-kun” have been acquired, and the data recording unit 114 acquires the text T1 (see FIG. 11C), the data recording unit 114 is in either the first designation or the second designation. Is not included (step S302: NO). In this case, the data recording unit 114 excludes the text T1 from the subsequent processing target and executes the process of step S301 again.

  If nurse N utters the second name “Lika-chan” of patient P who stays in hospital room “802” in the utterance and the text T1 contains the second name “Lika-chan”, the patient It is different from both the first name and the second name acquired by the data acquisition unit 112. Therefore, similarly, the data recording unit 114 excludes the text T1 from the subsequent processing target, and executes the process of step S301 again. Thereby, it is avoided that the nursing record data 40 of the patient ID “Δ △ Rika” is generated by mistake.

  On the other hand, when the data recording unit 114 acquires the text T2 (see FIG. 11D), the data recording unit 114 determines that the first name “Mr. OO” is included (step S302: YES). In this case, the data recording unit 114 extracts the text after the name from the text T2 (step S303). That is, the data recording unit 114 extracts the text T2 ′ after the name “Mr. OO” from the text T2. If the reading “,” is given immediately after the name “OO”, the data recording unit 114 extracts the name “00” and the text T2 ′ after the reading “,” from the text T2. . The data recording unit 114 executes the same processing as the reading “,” for the phrase “.”.

  When the process of step S303 is completed, the data recording unit 114 then determines whether or not a keyword is included in the text T2 ′ (step S304). For example, as shown in FIG. 11D, the text “T2 ′” includes the keyword “body temperature”. When the data recording unit 114 determines that the keyword is included in the text T2 ′ (step S304: YES), it extracts numerical information corresponding to the keyword (step S305). More specifically, the data recording unit 114 extracts numerical information corresponding to the keyword, and converts the numerical information into numerical data based on the conversion type. Therefore, the data recording unit 114 extracts the numerical information “36 degrees and 5 minutes” corresponding to the keyword “body temperature” and converts the extracted numerical information into numerical data “36.5”. If the data recording unit 114 determines that the keyword is not included in the text T2 ′ (step S304: NO), the process of step S305 is skipped.

  When the process of step S305 is completed or when the process of step S305 is skipped, the data recording unit 114 records the patient ID and the extraction result in association with each other (step S306). More specifically, the data recording unit 114 records the patient ID and the text T2 ′ as the extraction result in the patient ID field 41 and the nursing record field 45 in the nursing record data 40, respectively. At that time, the data recording unit 114 may also record an utterance date and an utterance time zone corresponding to the utterance date and time. As a result, in the nursing record data 40 shown in FIG. 11E, nursing record data 40 in which numerical data is not recorded in the body temperature field 42 is generated. When the process of step S306 is completed, a request to save nursing record data 40 is transmitted (step S307), and the process of step S301 is executed again.

  In addition, when the patient data acquisition unit 112 has acquired a plurality of patient IDs (see FIG. 8), the data recording unit 114 first selects the first name or the second name included in the text T2 from the plurality of patient IDs. The patient ID associated with the name is specified. Then, the data recording unit 114 records the identified patient ID and the text T2 ′ in association with the nursing record data 40. When the data recording unit 114 has extracted numerical information, the data recording unit 114 also associates numerical data obtained by converting the extracted numerical information with the identified patient ID and the text T2 ′. Thereby, as shown in FIG. 11E, nursing record data 40 in which numerical data is recorded in the body temperature field 42 is generated. When the process of step S306 is completed, a request to save nursing record data 40 is transmitted.

  Next, the operation of the server device 200 will be described with reference to FIGS. 12 and 13.

  FIG. 12 is a flowchart showing an example of request processing executed by the data processing unit 250. FIG. 13 shows another example of the data storage unit 230. First, the data processing unit 250 waits until an acquisition request is received from the terminal device 100 (step S401: NO). When receiving an acquisition request from the terminal device 100 (step S401: YES), the data processing unit 250 transmits the name of the patient and the patient ID to the terminal device 100 (step S402). More specifically, the data processing unit 250 searches the patient master storage unit 210 based on the current position included in the acquisition request, and extracts the patient name and patient ID associated with the stay position of the patient P corresponding to the current position. To do. When the data processor 250 extracts the patient name and patient ID, the data processor 250 transmits the extracted patient name and patient ID to the terminal device 100 as patient data.

  When the process of step S402 is completed, the data processing unit 250 waits until a storage request is received from the terminal device 100 (step S403: NO). When the data processing unit 250 receives a storage request from the terminal device 100 (step S403: YES), the data processing unit 250 stores the nursing record data 40 (step S404). More specifically, the data processing unit 250 stores the nursing record data 40 included in the storage request in the data storage unit 230. Thereby, as shown in FIG. 13, the data storage part 230 memorize | stores the nursing record data 40 newly produced | generated.

  As described above, according to the present embodiment, the terminal device 100 includes the current position acquisition unit 111, the patient data acquisition unit 112, the voice recognition unit 113, and the data recording unit 114. The current position acquisition unit 111 acquires the current position of the nurse N. The patient data acquisition unit 112 acquires from the patient master storage unit 210 the names 1 and 2 and the patient ID associated with the stay position of the patient P corresponding to the current position acquired by the current position acquisition unit 111. The voice recognition unit 113 acquires the voice of the nurse N and performs voice recognition on the acquired voice. The data recording unit 114 determines whether or not the acquired name 1 or name 2 is included in the text T2 generated based on the speech recognition. When the name 1 or the name 2 is included, the data recording unit 114 generates text T2 ′ or voice data related to the patient P as recording target information based on the voice, and corresponds to the name included in the text T2. The ID and the record target information are associated with each other and recorded in the nursing record data 40. Thereby, the nursing action performed by the nurse N on the patient P can be more easily recorded as compared with the conventional method.

  For example, in order to reduce the trouble of inputting to the tablet terminal, it is conceivable to perform voice recognition on the conversation between the nurse N and the patient P and generate the nursing record data 40 based on the result. However, in this case, a process for causing the nurse N to select which patient's P is the nursing record data 40 is required, and input is still troublesome. In addition, when a specific word is recognized, it is possible to generate nursing record data 40 from the result of subsequent speech recognition. However, similarly, a process for causing the nurse N to select which patient P is the nursing record data 40 is also required.

  Therefore, it is possible to recognize the name of the patient P. However, the surname is generally used as the name of the patient P, or the surname of the patient different from the patient P in the chat between the nurse N and the patient P (for example, the surname of the patient who is not in the room) In some cases, either nurse N or patient P speaks. In this case, there is a possibility that the patient ID of the patient who is not performing nursing is associated with the text representing the nursing record, and there is a possibility that no record is left for the patient to be nursing.

  However, as described above, in this embodiment, when the nurse N speaks the name of the patient P to be nursing, the patient ID associated with the name is associated with the voice text spoken by the nurse N. It is done. For this reason, the nursing action performed by the nurse N on the patient P can be recorded more easily and accurately than the conventional method.

  The preferred embodiments of the present invention have been described in detail above, but the present invention is not limited to the specific embodiments according to the present invention, and various modifications are possible within the scope of the gist of the present invention described in the claims.・ Change is possible. For example, in the embodiment described above, the external microphone 10 is used. However, the voice of the nurse N may be acquired using the internal microphone 100J with the terminal device 100 brought close to the mouth of the nurse N. For example, the terminal device 100 may transmit the voice of the nurse N and the current position to the server device 200, and the server device 200 may execute various processes executed by the terminal device 100. In the above-described embodiment, the medical field has been described as an example. However, a record of the monitoring (or tour) activity of the neighborhood association may be generated from sound. For example, a person in charge of watching activity may visit each door and generate a record of the safety and health status of the elderly from the voice of the person in charge. At this time, the current position may be acquired using, for example, a Global Positioning System (GPS) function, and the correspondence with the address of each house may be determined instead of the ward and the ward.

  Further, in the above-described embodiment, the data recording unit 114 records the entire text T2 ′ in the nursing record data 40. However, the data recording unit 114 may record a part of the text T2 ′ in the nursing record data 40. Good. Further, in the above-described embodiment, the data recording unit 114 records the text T2 ′ in the nursing record data 40. However, the data recording unit 114 replaces the text T2 ′ with all of the voice data related to the voice of the nurse N or A part may be recorded in the nursing record data 40.

In addition, the following additional notes are disclosed regarding the above description.
(Supplementary note 1) Acquires the current position of the recording person, obtains the voice of the recording person, and stores the recorded person's stay position, name, and identifier in association with each other according to the acquired current position. The name and identifier associated with the stay position are acquired, voice recognition is performed on the acquired voice, and the acquired name is included in the first character string generated based on the voice recognition. If the name is included, the recording target information on the recording target person is generated based on the voice, and the name corresponding to the name included in the first character string is generated. A recording program for causing a computer to execute a process of recording an identifier and the recording target information in association with each other.
(Supplementary note 2) The recording program according to supplementary note 1, wherein the recording target information is at least a part of a second character string that appears after the designation among the results of the speech recognition for the speech. .
(Supplementary Note 3) It is determined whether or not the second character string includes a specific character string representing a vital sign. If the specific character string is included, the second character string corresponds to the specific character string. The recording program according to appendix 2, including a process of associating a numerical value with the identifier corresponding to the name and recording the same in an area different from the second character string.
(Supplementary Note 4) It is determined whether or not the second character string includes a specific character string representing a vital sign. If the specific character string is included, the second character string corresponds to the specific character string. Additional processing comprising: converting numerical information into numerical data, associating the converted numerical data with the identifier corresponding to the designation, and recording in a different area from the second character string 2. The recording program according to 2.
(Additional remark 5) The process which performs the said voice recognition does not perform the said voice recognition until it detects the silent period more than threshold time from the acquired said voice, and if the silent period more than threshold time is detected from the acquired said voice, The recording program according to any one of appendices 1 to 4, wherein voice recording is performed.
(Additional remark 6) The process which acquires the said present position acquires the said present position using the radio | wireless communication with the apparatus arrange | positioned for every space where the said recording subject stays, The additional remark 1 characterized by the above-mentioned. 6. The recording program according to any one of items 1 to 5.
(Supplementary note 7) Acquires the current position of the recording person, acquires the voice of the recording person, and stores the recorded person's stay position, name, and identifier in association with each other according to the acquired current position. The name and identifier associated with the stay position are acquired, voice recognition is performed on the acquired voice, and the acquired name is included in the first character string generated based on the voice recognition. If the name is included, the recording target information on the recording target person is generated based on the voice, and the name corresponding to the name included in the first character string is generated. A recording method in which a computer executes a process of recording an identifier and the recording target information in association with each other.
(Supplementary note 8) Acquires the current position of the recording person, acquires the voice of the recording person, and stores the recorded person's stay position, name, and identifier in association with each other according to the acquired current position. The name and identifier associated with the stay position are acquired, voice recognition is performed on the acquired voice, and the acquired name is included in the first character string generated based on the voice recognition. If the name is included, the recording target information on the recording target person is generated based on the voice, and the name corresponding to the name included in the first character string is generated. A recording apparatus comprising a control unit that executes processing for recording an identifier in association with the recording target information.
(Supplementary note 9) The recording apparatus according to supplementary note 8, wherein the recording target information is at least a part of a second character string that appears after the designation among the results of the speech recognition for the speech. .
(Additional remark 10) The said control part judges whether the said 2nd character string contains the specific character string showing vital sign, and when the said specific character string is contained, this specific character string is contained. The recording apparatus according to appendix 9, wherein a numerical value corresponding to a character string and the identifier corresponding to the name are associated with each other and recorded in an area different from the second character string.
(Additional remark 11) The said control part judges whether the specific character string showing vital sign is contained in the said 2nd character string, and when the said specific character string is contained, this specific character string is contained. Numerical value information corresponding to a character string is converted into numerical data, the converted numerical data is associated with the identifier corresponding to the name, and recorded in an area different from the second character string, The recording apparatus according to appendix 9.
(Additional remark 12) The said control part does not perform the said voice recognition until it detects the silence period more than threshold time from the acquired said audio | voice, If the silence period more than threshold time is detected from the acquired said voice, the said voice recognition will be carried out The recording apparatus according to any one of appendices 8 to 11, wherein the recording device is performed.
(Additional remark 13) The said control part acquires the said present position using the radio | wireless communication with the apparatus arrange | positioned for every space where the said recording subject stays. The recording apparatus according to claim 1.

S Recording system 100 Terminal device 110 Control unit 111 Current position acquisition unit 112 Patient data acquisition unit 113 Voice recognition unit 114 Data recording unit 115 Data transmission unit 116 Display control unit 200 Server device 210 Patient master storage unit 220 Extraction target storage unit 230 Data Storage unit 240 Communication unit 250 Data processing unit

Claims (8)

Get the current location of the logger,
Obtain the voice of the recorder,
From the storage unit that stores the stay position, name, and identifier of the person to be recorded in association with each other, obtain the name and identifier associated with the stay position according to the acquired current position,
Perform voice recognition on the acquired voice,
Determining whether or not the acquired name is included in the first character string generated based on the voice recognition;
If the name is included, based on the voice, to generate recording target information about the recording target person,
Recording the identifier corresponding to the name included in the first character string and the recording target information in association with each other;
A recording program that causes a computer to execute processing. The recording target information is at least a part of a second character string that appears after the designation among the results of the speech recognition for the speech.
The recording program according to claim 1. Determining whether or not the second character string includes a specific character string representing a vital sign;
When the specific character string is included, the numerical value corresponding to the specific character string and the identifier corresponding to the name are associated with each other, and recorded in an area different from the second character string,
The recording program according to claim 2, further comprising a process. Determining whether or not the second character string includes a specific character string representing a vital sign;
When the specific character string is included, numerical information corresponding to the specific character string is converted into numerical data, the converted numerical data is associated with the identifier corresponding to the designation, and the second Record in a separate area from the string,
The recording program according to claim 2, further comprising a process. The process of performing the speech recognition does not perform the speech recognition until a silence period longer than a threshold time is detected from the acquired voice, and performs the voice recognition when a silence period longer than the threshold time is detected from the acquired voice. ,
The recording program according to any one of claims 1 to 4, wherein: The process of acquiring the current position is to acquire the current position using wireless communication with a device arranged in each space where the recording target person stays.
The recording program according to any one of claims 1 to 5, wherein: Get the current location of the logger,
Obtain the voice of the recorder,
From the storage unit that stores the stay position, name, and identifier of the person to be recorded in association with each other, obtain the name and identifier associated with the stay position according to the acquired current position,
Perform voice recognition on the acquired voice,
Determining whether or not the acquired name is included in the first character string generated based on the voice recognition;
If the name is included, based on the voice, to generate recording target information about the recording target person,
Recording the identifier corresponding to the name included in the first character string and the recording target information in association with each other;
A recording method in which processing is executed by a computer. Get the current location of the logger,
Obtain the voice of the recorder,
From the storage unit that stores the stay position, name, and identifier of the person to be recorded in association with each other, obtain the name and identifier associated with the stay position according to the acquired current position,
Perform voice recognition on the acquired voice,
Determining whether or not the acquired name is included in the first character string generated based on the voice recognition;
If the name is included, based on the voice, to generate recording target information about the recording target person,
Recording the identifier corresponding to the name included in the first character string and the recording target information in association with each other;
A recording apparatus including a control unit that executes processing.

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