Information processing device, information processing method, computer program, and non-transient computer-readable medium
The information processing device uses vital and technical alarms to objectively assess the operating status of medical transmitters, addressing inaccuracies in existing methods and enabling effective management of transmitter usage.
Patent Information
- Application Number
- JP2023110713
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-07-05
- Publication Date
- 2025-01-20
AI Technical Summary
Hospitals face challenges in accurately determining the operating status of medical transmitters such as medical telemeters, as they are often considered active during non-operational times like surgeries, leading to inaccurate understanding of their usage.
An information processing device that generates operating state information based on vital and technical alarms, including sensors and transmitters, to objectively assess their operational status.
Enables accurate and objective assessment of transmitter operation, allowing hospitals to manage transmitter usage effectively and prevent excessive use.
Smart Images

Figure 2025008491000001_ABST
Abstract
Description
[Technical field]
[0001] The present disclosure relates to an information processing device, an information processing method, a computer program, and a non-transitory computer-readable medium. [Background technology]
[0002] Patent document 1 discloses an alarm management device that includes a calculation unit that calculates an alarm occurrence status within an arbitrarily set time range based on the alarm occurrence time within the time range, and a display unit that displays the calculated alarm occurrence status. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] JP 2022-189497 A Summary of the Invention [Problem to be solved by the invention]
[0004] Meanwhile, hospitals are required to prepare a necessary number of transmitters such as medical telemeters and to manage transmitters so that a specific transmitter is not used excessively compared to other transmitters. For this reason, there is a need to grasp the operating status of the transmitters using an objective index. As such an objective index, for example, the bed entry and exit times of subjects can be considered. However, when such an index is used, the transmitter is considered to be operating even during times when the transmitter is not operating, such as during surgery, so there is room for improvement in terms of accurately grasping the operating status of the transmitter.
[0005] An object of the present disclosure is to provide an information processing device, an information processing method, a computer program, and a non-transitory computer-readable medium that are capable of grasping the operating status of a transmitter objectively and with greater accuracy. [Means for solving the problem]
[0006] In order to achieve the above object, an information processing device according to one aspect includes: At least one processor; A memory that stores at least one instruction executable by the processor, When at least one of the instructions is executed by the processor, the information processing device: Based on alarm information including at least one of a vital alarm indicating an abnormality in the subject's biological information and a technical alarm indicating an abnormality in at least one of the sensor that measures the biological information and the transmitter that transmits the biological information, operating status information indicating the operating status of the transmitter during a first period is generated.
[0007] In addition, an information processing method according to one aspect for achieving the above object includes: An information processing method executed by an information processing device, The method includes a step of generating operating status information indicating the operating status of the transmitter during a first period based on alarm information including at least one of a vital alarm indicating an abnormality in the subject's biological information and a technical alarm indicating an abnormality in at least one of the sensor that measures the biological information and the transmitter that transmits the biological information.
[0008] In addition, a computer program according to one aspect for achieving the above object comprises: A computer program comprising at least one instruction for execution by a processor of an information processing device, At least one of the instructions, when executed by the processor, causes the information processing device to: Operating status information indicating the operating status of the transmitter during a first period is generated based on alarm information including at least one of a vital alarm indicating an abnormality in the subject's biological information and a technical alarm indicating an abnormality in at least one of the sensor that measures the biological information and the transmitter that transmits the biological information.
[0009] In addition, a non-transitory computer-readable medium according to one embodiment for achieving the above object includes: The above computer program is stored.
[0010] According to the information processing device having the above configuration, operating status information indicating the operating status of the transmitter in a first period is generated based on alarm information including at least one of a vital alarm and a technical alarm. Since a vital alarm or a technical alarm is issued when the transmitter is actually operating, a user can objectively and more accurately grasp the operating status of the transmitter by using the operating status information generated based on the alarm information. In addition, the information processing method, computer program, and non-transitory computer-readable medium having the above configuration can also achieve the same effect. Effect of the Invention
[0011] According to the present disclosure, it is possible to provide an information processing device, an information processing method, a computer program, and a non-transitory computer-readable medium that are capable of grasping the operating status of a transmitter objectively and with greater accuracy. [Brief description of the drawings]
[0012] [Figure 1] FIG. 1 is a schematic diagram illustrating an information processing system according to an embodiment of the present disclosure. [Diagram 2] FIG. 2 is a flowchart of an information processing method executed by the information processing device in the first embodiment. [Diagram 3] FIG. 3 is a diagram illustrating an example of the alarm information. [Figure 4] FIG. 4 is a diagram illustrating an example of processing information. [Diagram 5] FIG. 5 is a diagram showing an example of an image based on the display data. [Figure 6] FIG. 6 is a flowchart of an information processing method executed by an information processing device in the second embodiment. [Figure 7]FIG. 7 is a diagram illustrating an example of the usage flag information and the overall operating state information. [Figure 8] FIG. 8 is a diagram showing an example of an image based on the display data. [Figure 9] FIG. 9 is a flowchart of an information processing method executed by an information processing device in the third embodiment. [Figure 10] FIG. 10 is a flowchart of an information processing method executed by the information processing device in the fourth embodiment. [Figure 11] FIG. 11 is a flowchart of an information processing method executed by the information processing device in the fifth embodiment. [Figure 12] FIG. 12 is a flowchart of an information processing method executed by the information processing device in the sixth embodiment. [Figure 13] FIG. 13 is a flowchart of an information processing method executed by the information processing device in the seventh embodiment. [Figure 14] FIG. 14 is a flowchart of an information processing method executed by the information processing device in the eighth embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0013] Hereinafter, an example of an embodiment of the present disclosure will be described with reference to the drawings.
[0014] (Overall composition) An information processing system 1 according to the present embodiment will be described with reference to FIG. 1. FIG. 1 is a schematic diagram illustrating an information processing system 1 according to an embodiment of the present disclosure. The information processing system 1 is used, for example, in a medical facility such as a hospital. As illustrated in FIG. 1, the information processing system 1 includes a sensor 10, a transmitter 20, a management device 30, and an information processing device 40. Note that, for convenience of explanation, only one sensor 10 and one transmitter 20 are illustrated in FIG. 1, but the information processing system 1 may include multiple sensors 10 and multiple transmitters 20.
[0015] The sensor 10 may include a communication line such as a lead wire or a cable. The sensor 10 is attached to a subject and measures biological information. In this embodiment, the sensor 10 measures biological information by a passive method, but may measure biological information by an active method. In the measurement of biological information by a passive method, for example, the sensor 10 measures biological information by receiving a signal from an object without transmitting a signal such as light or electromagnetic waves to the object. In the measurement of biological information by an active method, for example, the sensor 10 transmits a signal to an object and receives a signal reflected by or transmitted through the object to measure biological information. The biological information is, for example, an electrocardiogram waveform, a transcutaneous arterial oxygen saturation (SpO2), an end-tidal carbon dioxide concentration (EtCO2), and the like. The sensor 10 is, for example, an electrode for measuring an electrocardiogram waveform, a probe for measuring the transcutaneous arterial oxygen saturation, a capnometer for measuring the end-tidal carbon dioxide concentration, and the like. The probe is, for example, an adhesive probe (disposable probe) or a clip-type probe (reusable probe). The sensor 10 is electrically connected to the transmitter 20 by wire or wirelessly. The sensor 10 is electrically connected to the transmitter 20 via, for example, a communication line. The sensor 10 includes an attachment unit 11 and a measurement unit 12.
[0016] The attachment unit 11 is configured to attach the sensor 10 to a part of the subject's living body (for example, the subject's fingertip, abdomen, forehead, etc.). When the sensor 10 is an electrode, the attachment unit 11 is, for example, an electrode pad including an attachment surface on which an adhesive gel or metal foil is arranged, and a release sheet. When the sensor 10 is a disposable probe, the attachment unit 11 is, for example, an adhesive tape provided on the sensor 10. When the sensor 10 is a reusable probe, the attachment unit 11 is, for example, a clip provided on the sensor 10. When the sensor 10 is a capnometer, the attachment unit 11 is, for example, a tracheal tube or a sampling tube attached to the subject's nose or mouth.
[0017] The measurement unit 12 measures the biological information of the subject wearing the sensor 10. For example, the measurement unit 12 sequentially transmits the measured biological information to the transmitter 20. However, the measurement unit 12 may transmit the measured biological information to the transmitter 20 in response to a request signal from the transmitter 20. In addition, the biological information measured by the measurement unit 12 may be transmitted to the transmitter 20 via a communication line as an analog electrical signal readable by the transmitter 20, and may be read by the transmitter 20. The biological information may include information on contact impedance, absorbance, and partial pressure of carbon dioxide gas contained in the subject's breath.
[0018] The transmitter 20 is, for example, a portable medical telemeter for measuring and displaying biological information of a subject. The transmitter 20 transmits various information such as biological information to the management device 30 via a communication network installed in a medical facility. The transmitter 20 includes a receiving unit 21, a control unit 22, and a transmitting unit 23. These are connected to each other via a bus 24 so as to be able to communicate with each other.
[0019] The receiving unit 21 receives bioinformation from the sensor 10. The receiving unit 21 transmits the bioinformation received from the sensor 10 to the control unit 22. For example, when the sensor 10 and the transmitter 20 are electrically connected via a communication line, the receiving unit 21 identifies the type of the sensor 10 according to the type of the connection port of the transmitter 20 to which the lead wire or cable is connected. When the receiving unit 21 identifies the type of the sensor 10, it generates type information that is information indicating the type of the sensor 10. The receiving unit 21 transmits the generated type information of the sensor 10 to the control unit 22.
[0020] The control unit 22 includes a memory and a processor as a hardware configuration. The memory is, for example, a ROM (Read Only Memory) in which various computer programs and the like are stored, and a RAM (Random Access Memory) having multiple work areas in which various computer programs and the like executed by the processor are stored. The processor is, for example, a CPU (Central Processing Unit), and is configured to load a computer program specified from various computer programs incorporated in the ROM onto the RAM and execute various processes in cooperation with the RAM. The control unit 22 includes a measurement unit 221, a failure detection unit 222, and a storage unit 223.
[0021] The measurement unit 221 generates start time information based on the time (wearing start time) when it started receiving biological information from the sensor 10. The measurement unit 221 generates end time information based on the time (wearing end time) when it last received biological information from the sensor 10. The measurement unit 221 transmits the generated start time information and end time information to the storage unit 223.
[0022] The failure detection unit 222 generates failure information when, for example, due to a mechanical or electrical failure of the transmitter 20, the biological information cannot be received from the sensor 10 or the biological information received from the sensor 10 cannot be transmitted to the management device 30. The failure detection unit 222 transmits the generated failure information to the storage unit 223.
[0023] The storage unit 223 stores, for example, start time information and end time information generated by the measurement unit 221, failure information generated by the failure detection unit 222, affiliation information indicating the affiliation of the transmitter 20, etc. The affiliation information is information indicating the location to which the transmitter 20 is assigned. For example, if the transmitter 20 is assigned to the internal medicine department of a certain hospital, the affiliation of the transmitter 20 is the internal medicine department of the hospital.
[0024] The transmission unit 23 transmits various information to the management device 30, such as bioinformation, type information of the sensor 10, start time information, end time information, failure information, and affiliation information of the transmitter 20.
[0025] The management device 30 is, for example, a central monitor or a server. The management device 30 is disposed in, for example, a medical facility such as a hospital. The management device 30 is electrically connected to the transmitter 20 and the information processing device 40 by wire or wirelessly. The management device 30 includes an input / output interface 31 and a control unit 32. These are connected to each other via a bus 33 so as to be able to communicate with each other.
[0026] The input / output interface 31 functions as an interface between the transmitter 20 and the management device 30. The input / output interface 31 also functions as an interface between the management device 30 and the information processing device 40.
[0027] The control unit 32 may have the same hardware configuration as the control unit 22. The control unit 32 includes a calculation unit 321, a storage unit 322, and a determination unit 323. The control unit 32 controls these so that the processor of the control unit 32 executes a computer program in cooperation with a RAM to realize the processing of the determination unit 323, for example.
[0028] The calculation unit 321 calculates the continuous use time of the sensor 10 based on the start time information and end time information received from the transmitter 20, and generates duration information indicating the continuous use time. The calculation unit 321 transmits the duration information to the storage unit 322.
[0029] The storage unit 322 stores various information including information received from the transmitter 20. For example, the storage unit 322 stores first reference information for determining whether the biological information measured by the sensor 10 is normal biological information, and second reference information for determining whether the transmitter 20 can normally receive the biological information from the sensor 10. The first reference information is, for example, normal value information based on a reference value or an allowable range defined in a medical guideline or the like. The second reference information is, for example, appropriate numerical information regarding contact impedance when the sensor 10 is an electrode. The second reference information is, for example, appropriate numerical information regarding absorbance when the sensor 10 is a probe. The second reference information is, for example, appropriate numerical information regarding the partial pressure of carbon dioxide gas contained in the subject's breath when the sensor 10 is a capnometer.
[0030] The memory unit 322 stores a tolerance index indicating the tolerance time during which the sensor 10 can be used continuously. The tolerance index is set for each type of sensor 10. In this embodiment, the tolerance index for electrodes is 24 hours, the tolerance index for disposable probes is 8 hours, the tolerance index for reusable probes is 4 hours, and the tolerance index for capnometers is 24 hours.
[0031] The determination unit 323 determines whether the biological information measured by the sensor 10 is a normal value based on, for example, the biological information and the first reference information. When the determination unit 323 determines that the biological information measured by the sensor 10 is not a normal value (i.e., the biological information measured by the sensor 10 is an abnormal value), it generates a vital alarm (an example of alarm information). Note that the vital alarm is, for example, alarm information indicating a state in which the value indicated by the biological information measured by the sensor 10 exceeds a reference value or an allowable range defined in medical guidelines or the like. In other words, the vital alarm is alarm information indicating an abnormality in the biological information of the subject. The determination unit 323 transmits the generated vital alarm to the storage unit 322.
[0032] The determination unit 323 determines whether or not the sensor 10 has become detached based on, for example, information on the contact impedance, absorbance, and partial pressure of carbon dioxide gas contained in the subject's breath, and the second reference information. The sensor detachment means that the sensor 10 has become detached from the subject's living body, such as an electrode detachment, a probe detachment, or a tube detachment. When the determination unit 323 determines that the sensor 10 has become detached, the determination unit 323 generates a technical alarm (an example of alarm information) related to the sensor detachment of the sensor 10. The technical alarm is, for example, alarm information indicating a mechanical or electrical abnormality of the sensor 10 or the transmitter 20. That is, the technical alarm is alarm information indicating at least one abnormality of the sensor 10 that measures the subject's biological information and the transmitter 20 that transmits the biological information. In this specification, the term "alarm information" is used as a term including a vital alarm and a technical alarm. The determination unit 323 transmits the generated technical alarm to the storage unit 322.
[0033] The determination unit 323 determines whether the sensor 10 has been used continuously beyond the allowable time based on the duration information and the tolerance index. If the determination unit 323 determines that the sensor 10 has been used continuously beyond the allowable time, the determination unit 323 generates a technical alarm (an example of alarm information) regarding the use of the sensor 10 that has exceeded the allowable time. The determination unit 323 transmits the generated technical alarm to the storage unit 322.
[0034] The determination unit 323 determines whether the transmitter 20 is malfunctioning based on the malfunction information. The determination unit 323 may determine whether the transmitter 20 is malfunctioning based on, for example, the fact that no information is transmitted from the transmitter 20 for a predetermined period of time or more. When the determination unit 323 determines that the transmitter 20 is malfunctioning, it generates a technical alarm (an example of alarm information) related to the malfunction of the transmitter 20. The determination unit 323 transmits the generated technical alarm to the storage unit 322.
[0035] When storing the alarm information, the storage unit 322 links the alarm information with the transmitter 20 corresponding to the alarm information. For this reason, the alarm information is stored for each transmitter 20. When storing the alarm information, the storage unit 322 distinguishes whether the alarm information is a vital alarm or a technical alarm before storing the alarm information. However, the storage unit 322 may store the alarm information without distinguishing whether the alarm information is a vital alarm or a technical alarm. The storage unit 322 stores the alarm information after grouping it for each first period. Note that in this specification, the alarm information in this grouped state is referred to as total alarm information. The total alarm information includes numerical information indicating the number of occurrences of a vital alarm or a technical alarm. In addition, the storage unit 322 stores the alarm information by dividing it into unit periods obtained by dividing the first period into a plurality of intervals. However, the storage unit 322 does not have to store the alarm information by dividing it into unit periods.
[0036] The information processing device 40 is a device operated by a user such as a medical professional, a manufacturer or a distributor of the management device 30, and is, for example, a terminal device that manages medical devices in a medical institution, or a terminal device installed in the company of a manufacturer or distributor. The information processing device 40 is, for example, an electronic device such as a desktop type PC, a notebook PC, a tablet terminal, or a smartphone. The information processing device 40 includes an input / output interface 41, an operation unit 42, a control unit 43, and a display unit 44. These are connected to each other via a bus 45 so as to be able to communicate with each other.
[0037] The input / output interface 41 functions as an interface between the management device 30 and the information processing device 40 .
[0038] The operation unit 42 is configured to receive an input operation of a user who operates the information processing device 40 and generate a request signal corresponding to the input operation. The operation unit 42 is, for example, a touch panel arranged overlaid on the display unit 44, an operation button attached to the housing of the information processing device 40, or the like. The operation unit 42 receives, for example, an input operation for acquiring alarm information stored in the storage unit 322 of the management device 30, and generates a request signal corresponding to the input operation. The generated request signal is transmitted to the management device 30 via the input / output interface 41. The management device 30, which has received the request signal generated by the operation unit 42, transmits alarm information to the information processing device 40 based on the request signal. In this manner, the information processing device 40 acquires the alarm information.
[0039] The control unit 43 may have the same hardware configuration as the control unit 22. The control unit 43 includes at least one processor 421 and a memory 422 that stores at least one command executable by the processor 421. The control unit 43 generates operation status information indicating the operation status of the transmitter 20 in a first period based on the alarm information. The first period is, for example, one day, one week, one month, two months, etc. The operation status information is, for example, information indicating the operation amount of the transmitter 20. The operation amount of the transmitter 20 is, for example, the operation rate of the transmitter 20, an operation level according to the number of vital alarms and technical alarms, etc.
[0040] The control unit 43 may generate occurrence information indicating whether at least one of a vital alarm and a technical alarm has occurred in a unit period obtained by dividing the first period into a plurality of intervals based on the alarm information. The unit period is, for example, one hour or two hours when the first period is one day. The unit period is, for example, one day or one week when the first period is one month. The control unit 43 generates occurrence information for all unit periods. When there are multiple transmitters 20, the control unit 43 generates occurrence information for all unit periods of all transmitters 20. In this case, the control unit 43 generates processing information based on the generated occurrence information and then generates operating status information. The control unit 43 generates processing information by replacing numerical information included in the comprehensive alarm information with the occurrence information.
[0041] When there are multiple transmitters 20, the control unit 43 may generate, for each transmitter 20, usage flag information indicating whether the transmitter 20 was used in the first period based on the alarm information. The usage flag information may be generated, for example, based on whether the total value of the occurrence counts of vital alarms and technical alarms is equal to or greater than a predetermined value. The usage flag information may also be generated, for example, based on whether the operation amount of the transmitter 20 is equal to or greater than a predetermined value. The predetermined value may be arbitrarily set by the user. In this case, the control unit 43 determines, for each transmitter 20, whether the transmitter 20 was used in the first period based on the usage flag information, and then generates overall operation status information (an example of operation status information) indicating the operation statuses of the multiple transmitters 20. The overall operation status information is information (proportion information) indicating the proportion of the transmitters 20 determined to have been used in the first period among the multiple transmitters 20.
[0042] The control unit 43 may generate, for each transmitter 20, long-term operating status information indicating the operating status of the transmitter 20 during a second period including a plurality of first periods, based on the operating status information. Note that the second period is longer than the first period because it includes a plurality of first periods. For example, if the first period is one day, the second period is one week or one month. For example, if the first period is one month, the second period is one year or one and a half years.
[0043] The control unit 43 may generate comprehensive operating status information that collectively indicates the operating status of multiple transmitters 20 during a second period based on at least one of operating status information that indicates the operating status of each transmitter 20 during a first period and long-term operating status information.
[0044] When there are multiple transmitters 20, the control unit 43 may generate the operating state information for each transmitter 20 based on the affiliation information of each of the multiple transmitters 20.
[0045] The control unit 43 may generate operating state information for each type of biological information based on the type information of the sensor 10 or the type of biological information.
[0046] The control unit 43 generates display data based on at least one of the operation status information (which may include the overall operation status information), the long-term operation status information, and the comprehensive operation status information. The control unit 43 transmits the generated display data to the display unit 44.
[0047] The display unit 44 is, for example, a touch screen display such as a liquid crystal display, an organic EL display, etc. The display unit 44 is configured to display an image based on display data received from the control unit 43, for example.
[0048] (First embodiment) Next, with reference to FIG. 2 to FIG. 5, an information processing method executed by the information processing device 40 in the first embodiment will be described. FIG. 2 is a flowchart diagram of the information processing method executed by the information processing device 40 in the first embodiment. In this embodiment, the information processing device 40 generates operating status information on April 1, 2023 based on alarm information from 0:00 to 23:59 on April 1, 2023. Therefore, in this embodiment, the first period is one day (April 1, 2023). In this embodiment, the number of transmitters 20 is five (transmitter A, transmitter B, transmitter C, transmitter D, and transmitter E). In the following embodiments, the number of transmitters 20 is five unless otherwise specified.
[0049] 2, the information processing device 40 acquires alarm information by, for example, transmitting a request signal generated based on an input operation by a user to acquire alarm information stored in the storage unit 322 of the management device 30 to the management device 30 (STEP 01). Note that in this embodiment, the information processing device 40 acquires alarm information in a state where the alarm information is summarized for a first period (one day). In other words, the information processing device 40 acquires comprehensive alarm information.
[0050] Here, with reference to FIG. 3, the alarm information (total alarm information) acquired by the information processing device 40 in this embodiment will be described. In this embodiment, the alarm information from 0:00 to 23:59 on April 1, 2023 is the alarm information exemplified in FIG. 3. In the following embodiments, unless otherwise specified, the alarm information acquired by the information processing device 40 is the alarm information exemplified in FIG. 3. The alarm information is linked to the corresponding transmitter 20. In addition, the alarm information is distinguished as being a vital alarm or a technical alarm. Furthermore, the alarm information is divided into unit periods (one hour) when the first period (one day) is divided into 24 periods. In the case of transmitter A, a vital alarm occurs twice and a technical alarm occurs once during the time period from 10:00 to 10:59 on April 1, 2023.
[0051] As illustrated in FIG. 2, the control unit 43 generates occurrence information indicating whether at least one of a vital alarm and a technical alarm has occurred in a unit period obtained by dividing the first period into a plurality of intervals based on the alarm information (STEP 02). For example, in the case of the transmitter A, in the time period from 10:00 to 10:59 on April 1, 2023, a vital alarm has occurred twice and a technical alarm has occurred once. Therefore, the control unit 43 generates occurrence information indicating that a vital alarm and a technical alarm have occurred in the time period. In this embodiment, the control unit 43 generates a value of "1" as occurrence information indicating that at least one of a vital alarm and a technical alarm has occurred. On the other hand, if neither a vital alarm nor a technical alarm has occurred, the control unit 43 generates a value of "0" as occurrence information indicating that neither a vital alarm nor a technical alarm has occurred.
[0052] The control unit 43 determines whether or not generation information has been generated for all unit periods of all transmitters 20 (STEP 03). If the control unit 43 determines that generation information has been generated for all unit periods of all transmitters 20 (YES in STEP 03), the process proceeds to STEP 04. On the other hand, if the control unit 43 determines that generation information has not been generated for all unit periods of all transmitters 20 (NO in STEP 03), the process returns to STEP 02.
[0053] The control unit 43 generates processing information based on the generated occurrence information (STEP04). The processing information generated in this embodiment is information exemplified in FIG. 4. In the following embodiments, the processing information generated by the control unit 43 is the processing information exemplified in FIG. 4 unless otherwise specified. Here, the processing information will be described in detail with reference to FIG. 4. For example, in the case of transmitter A, the control unit 43 generates occurrence information indicating that a vital alarm and a technical alarm have occurred for a time period from 10:00 to 10:59 on April 1, 2023. Therefore, "1" is written in the section indicating the time period from 10:00 to 10:59 on April 1, 2023. On the other hand, the control unit 43 generates occurrence information indicating that neither a vital alarm nor a technical alarm has occurred for a time period from 11:00 to 11:59 on April 1, 2023. Therefore, "0" is written in the section indicating the time period from 11:00 to 11:59 on April 1, 2023. In this manner, the control unit 43 generates the processed information by replacing the numerical information included in the comprehensive alarm information with occurrence information ("0" or "1").
[0054] As illustrated in FIG. 2, the control unit 43 generates operation status information based on the processing information (STEP 05). Specifically, the control unit 43 calculates a first tally value by tallying the number of occurrence information pieces (the number of "1" pieces in FIG. 4) indicating that at least one of a vital alarm and a technical alarm has occurred for each transmitter 20. The control unit 43 calculates the operation rate (an example of the operation amount) of the transmitter 20 for each transmitter 20 by dividing the first tally value by the number of unit periods (24 in this embodiment) and then multiplying the result by 100. Note that in various calculations described below, decimals are rounded off. However, in various calculations, decimals may be rounded up or down. The operation rate of the transmitter 20 is an example of operation status information. For example, in the case of the transmitter A, as illustrated in FIG. 4, the number of occurrence information pieces indicating that at least one of a vital alarm and a technical alarm has occurred for the transmitter A is 9. Therefore, the control unit 43 calculates the operating rate of transmitter A to be 38% (9 / 24*100≒38%). Similarly, the control unit 43 calculates the operating rate of transmitter B to be 50% (12 / 24*100=50%). The control unit 43 calculates the operating rate of transmitter C to be 75% (18 / 24*100=75%). The control unit 43 calculates the operating rate of transmitter D to be 67% (16 / 24*100≒67%). The control unit 43 calculates the operating rate of transmitter E to be 92% (22 / 24*100≒92%).
[0055] 2, the control unit 43 generates display data based on the operating state information (STEP 06). The control unit 43 transmits the generated display data to the display unit 44 (STEP 07). When the display unit 44 receives the display data, an image 100 (see FIG. 5) based on the received display data is displayed on the display unit 44 (STEP 08).
[0056] Here, with reference to FIG. 5, an image 100 displayed on the display unit 44 will be described. As illustrated in FIG. 5, the image 100 includes a vertical axis AX11 indicating the operation rate of each transmitter 20 and a horizontal axis AX12 indicating which transmitter it is. The image 100 displays a bar graph indicating the operation rate of the transmitter 20 on April 1, 2023 for each transmitter 20. By visually checking the image 100, the user can grasp the operation states of transmitters A to E on April 1, 2023, and the transmitters 20 that were operating excessively and those that were not operating very much. For example, by visually checking the image 100, the user can grasp that on April 1, 2023, transmitter E was operating excessively while transmitter A was not operating very much.
[0057] Meanwhile, hospitals are required to prepare a necessary number of transmitters such as medical telemeters and to manage transmitters so that a specific transmitter is not used excessively compared to other transmitters. For this reason, there is a need to grasp the operating status of the transmitters using an objective index. As such an objective index, for example, the bed entry and exit times of subjects can be considered. However, when such an index is used, the transmitter is considered to be operating even during times when the transmitter is not operating, such as during surgery, so there is room for improvement in terms of accurately grasping the operating status of the transmitter.
[0058] According to the information processing device 40 having the above configuration, operating status information indicating the operating status of the transmitter 20 in the first period (April 1, 2023) is generated based on alarm information including at least one of a vital alarm and a technical alarm. Since a vital alarm or a technical alarm is issued when the transmitter 20 is actually operating, the user can objectively and more accurately grasp the operating status of the transmitter 20 by using the operating status information generated based on the alarm information.
[0059] Moreover, according to the information processing device 40 having the above configuration, the operating status information is generated based on occurrence information indicating whether at least one of a vital alarm and a technical alarm has occurred in a unit period (one hour) obtained by dividing a first period (one day) into a plurality of intervals. By using such operating status information, the user can more accurately grasp the operating status of the transmitter 20.
[0060] Furthermore, according to the information processing device 40 having the above-described configuration, the operating status information is information indicating the operating rate (an example of the operating amount) of the transmitter 20, so that the user can intuitively recognize the operating status of the transmitter 20 by using such operating status information.
[0061] (Second embodiment) Next, an information processing method executed by the information processing device 40 in the second embodiment will be described with reference to Figs. 6 to 8. In the second embodiment, the same parts as those in the first embodiment will be described using the same reference numerals as those in the first embodiment, and descriptions of overlapping parts will be omitted as appropriate. The second embodiment differs from the first embodiment in that the control unit 43 not only calculates the operating rate of the transmitter 20 as operating state information, but also generates overall operating state information. Fig. 6 is a flowchart of the information processing method executed by the information processing device 40 in the second embodiment. In this embodiment, the first period is one day, and the second period is one month. Therefore, the second period includes a plurality of first periods. In the following embodiments, the first period is one day, and the second period is one month, unless otherwise specified.
[0062] As shown in FIG. 6, STEP 11 to STEP 15 are similar to STEP 01 to STEP 05 in the first embodiment.
[0063] The control unit 43 generates, for each transmitter 20, use flag information indicating whether the transmitter 20 was used in the first period based on the alarm information (STEP 16). More specifically, the control unit 43 judges whether the operation rate of the transmitter 20 calculated in STEP 15 is equal to or higher than a predetermined value, and generates the use flag information based on the judgment. In this embodiment, the predetermined value is 40%. The inventor noticed that even if there is no malfunction such as a breakdown in the sensor 10 or the transmitter 20, a technical alarm occurs about eight times a day. For this reason, in this embodiment, the predetermined value is set to 40%. However, the predetermined value may be arbitrarily set by the user and is not limited to 40%. The operation rate of the transmitter 20 is based on the processing information, and the processing information is generated based on the occurrence information. And, since the occurrence information is generated based on the alarm information, the use flag information is based on the alarm information.
[0064] For example, in the case of transmitter A on April 1, 2023, the operating rate (38%) of transmitter A on April 1, 2023 is less than a predetermined value (40%). Therefore, the control unit 43 determines that transmitter A is not in use on April 1, 2023. Therefore, the control unit 43 generates usage flag information indicating that transmitter A is not in use on April 1, 2023. In this embodiment, the control unit 43 generates a value of "1" as usage flag information indicating that transmitter 20 has been used. In addition, the control unit 43 generates a value of "0" as usage flag information indicating that transmitter 20 is not in use.
[0065] The control unit 43 generates overall operation status information based on the usage flag information (STEP 17). More specifically, the control unit 43 generates, as the overall operation status information, ratio information indicating the ratio of the transmitters 20 determined to have been used in the first period among the multiple transmitters 20 (transmitter A to transmitter E). The control unit 43 generates the ratio information by dividing the number of transmitters 20 determined to have been used in the first period by the total number of transmitters 20 and then multiplying the result by 100. For example, in the case of the ratio information for April 1, 2023, the operation rates of transmitters A to E on April 1, 2023 are 38%, 50%, 75%, 67%, and 92%, respectively. Therefore, the transmitters 20 with operation rates of 40% or more are transmitter B, transmitter C, transmitter D, and transmitter E. Therefore, the control unit 43 calculates a numerical value of 80% (4 units / 5 units*100=80%) as the ratio information.
[0066] The control unit 43 determines whether or not the overall operational status information has been generated for all first periods included in the second period (STEP 18). If the control unit 43 determines that the overall operational status information has been generated for all first periods included in the second period (YES in STEP 18), the process proceeds to STEP 19. On the other hand, if the control unit 43 determines that the overall operational status information has not been generated for all first periods included in the second period (NO in STEP 18), the process returns to STEP 17.
[0067] Here, with reference to FIG. 7, the use flag information and the overall operation status information generated when the control unit 43 determines that the overall operation status information has been generated for all first periods included in the second period will be described. For example, the operation status of transmitters A to E on April 1, 2023 will be described. Since the operation rate (38%) of transmitter A on April 1, 2023 is less than a predetermined value (40%), it is determined that transmitter A was not used on April 1, 2023. Therefore, "0" is written in the section indicating whether transmitter A was used on April 1, 2023. On the other hand, it is determined that transmitters B, C, D, and E were used on April 1, 2023. Therefore, "1" is written in the section indicating whether transmitters B, C, D, and E were used on April 1, 2023. Next, the ratio of transmitters 20 determined to have been used on April 1, 2023 will be described. The transmitters 20 determined to have been in use on April 1, 2023 are transmitter B, transmitter C, transmitter D, and transmitter E. Therefore, the figure "80%" is written in the section indicating the percentage of transmitters 20 determined to have been in use on April 1, 2023.
[0068] 6, the control unit 43 generates display data based on the overall operating status information (STEP 19). The control unit 43 transmits the generated display data to the display unit 44 (STEP 20). When the display unit 44 receives the display data, an image 200 (see FIG. 8) based on the received display data is displayed on the display unit 44 (STEP 21).
[0069] Here, with reference to FIG. 8, an image 200 displayed on the display unit 44 will be described. As illustrated in FIG. 8, the image 200 includes a vertical axis AX21 indicating the proportion of transmitters 20 determined to have been used in a first period, and a horizontal axis AX22 indicating when the first period is. The image 200 displays a line graph indicating the transition of the proportion of transmitters 20 determined to have been used in a second period. By visually checking the image 200, the user can grasp the transition of the proportion of transmitters 20 determined to have been used in April 2023. For example, by visually checking the image 200, the user can grasp that many transmitters 20 were in operation on April 5, 2023, whereas most transmitters 20 were not in operation on April 6, 2023.
[0070] In this embodiment, the information processing device 40 achieves the same effects as in the first embodiment.
[0071] Moreover, according to the information processing device 40 having the above configuration, overall operation status information (one example of operation status information) indicating the operation statuses of the multiple transmitters 20 (transmitter A to transmitter E) is generated based on the usage flag information indicating that the transmitter 20 is being used in the first period. The information processing device 40 generates the overall operation status information based on the usage flag information, and therefore can easily generate the overall operation status information indicating the operation statuses of the multiple transmitters 20. Furthermore, by using such overall operation status information indicating the operation statuses of the multiple transmitters 20, the user can grasp the operation statuses of the multiple transmitters 20 in a general sense.
[0072] Furthermore, according to the information processing device 40 having the above configuration, the usage flag information is generated based on whether the operating amount of the transmitter is equal to or greater than a predetermined value, so that the information processing device 40 can uniformly generate overall operating status information (one example of operating status information) indicating the operating statuses of the multiple transmitters 20. Therefore, by using such overall operating status information indicating the operating statuses of the multiple transmitters 20, the user can more accurately grasp the operating status of the transmitters 20.
[0073] Furthermore, according to the information processing device 40 having the above configuration, the predetermined value related to the usage flag information is arbitrarily set by the user, and therefore the predetermined value can be set to an appropriate value for each hospital ward, for example.
[0074] Moreover, according to the information processing device 40 having the above configuration, the overall operational status information (one example of operational status information) indicating the operational statuses of the multiple transmitters 20 is information (proportion information) indicating the proportion of the transmitters 20 determined to have been used in the first period among the multiple transmitters 20. Therefore, by using such overall operational status information, the user can intuitively and comprehensively recognize the operational statuses of the multiple transmitters 20.
[0075] (Third embodiment) Next, with reference to FIG. 9, an information processing method executed by the information processing device 40 in the third embodiment will be described. In the third embodiment, the same parts as those in the first or second embodiment will be described using the same reference numerals as those in the first or second embodiment, and descriptions of overlapping parts will be omitted as appropriate. The third embodiment differs from the second embodiment in that the control unit 43 generates not only operation status information but also long-term operation status information. FIG. 9 is a flowchart diagram of the information processing method executed by the information processing device 40 in the third embodiment. In this embodiment, the information processing device 40 generates long-term operation status information in April 2023 based on operation status information generated based on alarm information from 0:00 on April 1, 2023 to 23:59 on April 30, 2023.
[0076] As illustrated in Fig. 9, STEP 31 to STEP 36 are similar to STEP 11 to STEP 16 in the second embodiment. When STEP 36 is executed, as illustrated in Fig. 7, the control unit 43 generates a value of "0" or "1" as usage flag information for each transmitter 20 for each day in April 2023. In this embodiment, the control unit 43 does not generate ratio information (overall operating state information).
[0077] As illustrated in FIG. 9, the control unit 43 generates long-term operating status information indicating the operating status of the transmitter 20 in the second period for each transmitter 20 based on the operating status information (STEP 37). More specifically, the control unit 43 calculates a second tally value by tallying the number of pieces of use flag information (the number of "1" in FIG. 7) for each transmitter 20. The control unit 43 calculates a long-term operation rate (an example of long-term operating status information) of the transmitter 20 for each transmitter 20 by dividing the second tally value by the number of pieces of use flag information for the first period (30 in this embodiment) and then multiplying the result by 100. For example, in the case of transmitter B, the number of pieces of use flag information related to transmitter B is 12. Therefore, the control unit 43 calculates a value of 40% (12 / 30*100=40%) as the long-term operating status information related to transmitter B. The control unit 43 also generates long-term operating status information related to transmitters A, C, D, and E by performing the same calculation as that performed in generating the long-term operating status information of transmitter B.
[0078] 9, the control unit 43 generates display data based on the long-term operating status information (STEP 38). The control unit 43 transmits the generated display data to the display unit 44 (STEP 39). When the display unit 44 receives the display data, an image based on the received display data is displayed on the display unit 44 (STEP 40).
[0079] In this embodiment, a bar graph as shown in Fig. 5 is displayed on display unit 44. However, the bar graph in this embodiment is a bar graph showing the long-term operation rate of each transmitter 20. By visually checking the bar graph, the user can easily understand the long-term operation rate of each transmitter 20.
[0080] In this embodiment, the information processing device 40 achieves the same effects as in the second embodiment.
[0081] Furthermore, according to the information processing device 40 having the above configuration, long-term operating status information indicating the operating status of the transmitter 20 during a second period including a plurality of first periods is generated based on the operating status information. By using such long-term operating status information, the user can grasp the operating status of the transmitter 20 over a longer period.
[0082] (Fourth embodiment) Next, with reference to FIG. 10, an information processing method executed by the information processing device 40 in the fourth embodiment will be described. In the fourth embodiment, the same parts as those in the first to third embodiments will be described using the same reference numerals as those in the first to third embodiments, and descriptions of overlapping parts will be omitted as appropriate. The fourth embodiment differs from the third embodiment in that the control unit 43 generates not only long-term operating status information but also comprehensive operating status information. FIG. 10 is a flowchart of the information processing method executed by the information processing device 40 in the fourth embodiment. In this embodiment, the information processing device 40 generates comprehensive operating status information based on long-term operating status information in April 2023.
[0083] As illustrated in FIG. 10, STEP 51 to STEP 57 are the same as STEP 31 to STEP 37 in the third embodiment. When STEP 56 is executed, as illustrated in FIG. 7, the control unit 43 generates a value of "0" or "1" as the usage flag information for each transmitter 20 for each day in April 2023. In this embodiment, the control unit 43 does not generate ratio information (overall operating state information). Furthermore, in STEP 57, the control unit 43 calculates the long-term operating rate of the transmitter 20 for each transmitter 20 as the long-term operating state information. In this embodiment, the usage flag information of each transmitter 20 on each day in April 2023 and the long-term operating rate of each transmitter 20 in April 2023 are the same as those in the third embodiment.
[0084] 10, the control unit 43 generates overall operating status information indicating the operating statuses of the multiple transmitters 20 in the second time period based on the long-term operating status information (STEP 58). More specifically, the control unit 43 generates the overall operating status information by calculating an average value (first overall value) of the long-term availability rates of each transmitter 20. In this embodiment, the control unit 43 calculates a numerical value of 48% ((transmitter A: 0% + transmitter B: 40% + transmitter C: 70% + transmitter D: 50% + transmitter E: 80%) / 5 units = 48%) as the overall operating status information.
[0085] The control unit 43 generates display data based on the comprehensive operating status information (STEP 59). The control unit 43 transmits the generated display data to the display unit 44 (STEP 60). When the display unit 44 receives the display data, an image based on the received display data is displayed on the display unit 44 (STEP 61).
[0086] In this embodiment, a bar graph as shown in FIG. 5 is displayed on the display unit 44. However, the bar graph in this embodiment is a bar graph showing the long-term operation rate of each transmitter 20. In addition, in the image displayed on the display unit 44 in this embodiment, a numerical value of 48% is displayed above the bar graph as the overall operation status information (average value of the long-term operation rates of the transmitters 20). However, the position where this numerical value is displayed is not limited to the above the bar graph. In this way, in this embodiment, the overall operation status information is also displayed on the display unit 44 together with the bar graph showing the long-term operation rate of the transmitter 20, so that the user can visually recognize the image to grasp the overall operation status of transmitters A to E in April 2023.
[0087] In this embodiment, the information processing device 40 achieves the same effects as in the third embodiment.
[0088] Furthermore, according to the information processing device 40 having the above configuration, even if there are multiple transmitters 20, the user can grasp the operating states of the multiple transmitters 20 from an overall perspective.
[0089] (Fifth Example) Next, an information processing method executed by the information processing device 40 in the fifth embodiment will be described with reference to FIG. 11. Note that in the fifth embodiment, the same parts as those in the first embodiment will be described using the same reference numerals as those in the first embodiment, and descriptions of overlapping parts will be omitted as appropriate. The fifth embodiment differs from the first embodiment in that operating status information is generated for each of the multiple transmitters 20. Note that in this embodiment, transmitters A, B, and C belong to the department of internal medicine, and transmitters D and E belong to the department of surgery. FIG. 11 is a flowchart of the information processing method executed by the information processing device 40 in the fifth embodiment.
[0090] The information processing device 40 acquires the alarm information and the affiliation information by, for example, transmitting a request signal generated based on an input operation by a user for acquiring the alarm information and the affiliation information stored in the storage unit 322 of the management device 30 to the management device 30 (STEP 81). Note that in this embodiment, the alarm information acquired by the information processing device 40 is comprehensive alarm information. Also, the comprehensive alarm information is acquired in a state linked to the affiliation information.
[0091] In this embodiment as well, the alarm information (total alarm information) acquired by the information processing device 40 is the alarm information exemplified in Fig. 3. However, in this embodiment, the alarm information is linked to the affiliation information.
[0092] Returning to Fig. 11, the process from STEP 82 onwards will be described. STEP 82 to STEP 84 are the same as STEP 02 to STEP 04 in the first embodiment. In this embodiment as well, the processing information generated by the control unit 43 is the information exemplified in Fig. 4. However, in this embodiment, the processing information is linked to the affiliation information.
[0093] 11, the control unit 43 generates operating status information for each of the multiple transmitters 20 based on the processing information and the affiliation information (STEP 85). Specifically, the control unit 43 calculates a numerical value of 54% ((transmitter A: 38% + transmitter B: 50% + transmitter C: 75%) / 3 units ≒ 54%) as the operating status information for the transmitters 20 belonging to the internal department. The control unit 43 also calculates a numerical value of 80% ((transmitter D: 67% + transmitter E: 92%) / 2 units ≒ 80%) as the operating status information for the transmitters 20 belonging to the surgery department. That is, in this embodiment, the control unit 43 calculates the average value of the operating rates of the transmitters 20 belonging to the internal department and the average value of the operating rates of the transmitters 20 belonging to the surgery department.
[0094] STEP 86 to STEP 88 are the same as STEP 06 to STEP 08 in the first embodiment. However, in STEP 86, the control unit 43 generates display data for each of the multiple transmitters 20. In this embodiment, the control unit 43 generates display data for internal medicine based on the operating status information on the transmitters 20 belonging to the internal medicine department, and display data for surgery based on the operating status information on the transmitters 20 belonging to the surgery department. In this embodiment, it is assumed that the user has performed an input operation on the operation unit 42 to display images based on the internal medicine display data and the surgical display data on the display unit 44. Therefore, in this embodiment, images based on the internal medicine display data and the surgical display data are displayed on the display unit 44.
[0095] In this embodiment, a bar graph as shown in Fig. 5 is displayed on the display unit 44. However, in this embodiment, a bar graph showing the average value of the operation rates of the transmitters 20 belonging to the internal medicine department and a bar graph showing the average value of the operation rates of the transmitters 20 belonging to the surgery department are displayed on the display unit 44. By visually checking such an image, the user can grasp the operation status of the transmitters 20 on a ward-by-ward basis.
[0096] In this embodiment, the information processing device 40 achieves the same effects as in the first embodiment.
[0097] Furthermore, according to the information processing device 40 having the above configuration, the information processing device 40 generates operating status information for each affiliation of the transmitter 20, so that the user can grasp the operating status of the transmitter 20 for each ward, for example.
[0098] (Sixth embodiment) Next, an information processing method executed by the information processing device 40 in the sixth embodiment will be described with reference to FIG. 12. Note that in the sixth embodiment, the same parts as those in the second or fifth embodiment will be described using the same reference numerals as those in the second or fifth embodiment, and descriptions of overlapping parts will be omitted as appropriate. The sixth embodiment differs from the second embodiment in that overall operating status information is generated for each of the multiple transmitters 20. Note that in this embodiment, transmitters A, B, and C belong to the department of internal medicine, and transmitters D and E belong to the department of surgery. FIG. 12 is a flowchart of the information processing method executed by the information processing device 40 in the sixth embodiment.
[0099] STEP 91 to STEP 94 are the same as STEP 81 to STEP 84 in the fifth embodiment. Note that, also in this embodiment, the alarm information (total alarm information) acquired by the information processing device 40 is the alarm information exemplified in FIG. 3. However, in this embodiment, the alarm information is linked to the affiliation information. Also in this embodiment, the processing information generated by the control unit 43 is the information exemplified in FIG. 4. However, in this embodiment, the processing information is linked to the affiliation information.
[0100] As illustrated in FIG. 12, STEP 95 and STEP 96 are similar to STEP 15 and STEP 16 in the second embodiment.
[0101] The control unit 43 generates overall operating status information for each of the multiple transmitters 20 (STEP 97). Specifically, the control unit 43 generates, as the overall operating status information, percentage information indicating the percentage of the multiple transmitters 20 (transmitter A to transmitter E) that are determined to have been used in the first period, as the overall operating status information, by the same calculation as in the second embodiment. However, in this embodiment, the control unit 43 generates percentage information for each of the transmitters 20. Therefore, the control unit 43 generates percentage information regarding the transmitters 20 (transmitter A, transmitter B, and transmitter C) belonging to the internal medicine department and percentage information regarding the transmitters 20 (transmitter D and transmitter E) belonging to the surgery department separately. For example, the control unit 43 calculates a numerical value of 67% (2 units / 3 units * 100 ≒ 67%) as the percentage information regarding the transmitters 20 (transmitter A, transmitter B, and transmitter C) belonging to the internal medicine department on April 1, 2023. The control unit 43 calculates the numerical value of 100% (2 units / 2 units*100=100%) as the percentage information regarding the transmitters 20 (transmitter D and transmitter E) belonging to the surgery department on April 1, 2023.
[0102] STEP 98 to STEP 101 are the same as STEP 18 to STEP 21 in the second embodiment. However, in STEP 99, the control unit 43 generates display data for each of the multiple transmitters 20. In this embodiment, the control unit 43 generates display data for internal medicine based on the overall operating status information for the transmitters 20 belonging to the internal medicine department, and display data for surgery based on the overall operating status information for the transmitters 20 belonging to the surgery department. In this embodiment, it is assumed that the user has performed an input operation on the operation unit 42 to display images based on the internal medicine display data and the surgical display data on the display unit 44. Therefore, in this embodiment, images based on the internal medicine display data and the surgical display data are displayed on the display unit 44.
[0103] In this embodiment, a line graph as shown in Fig. 8 is displayed on the display unit 44. However, in this embodiment, a line graph showing the change in the proportion of transmitters 20 belonging to the internal medicine department determined to have been used in the second period and a line graph showing the change in the proportion of transmitters 20 belonging to the surgery department determined to have been used in the second period are displayed on the display unit 44. By visually checking such an image, the user can grasp the change in the proportion of transmitters 20 determined to have been used in April 2023 on a ward-by-ward basis.
[0104] In this embodiment, the information processing device 40 achieves the same effects as in the second and fifth embodiments.
[0105] (Seventh embodiment) Next, an information processing method executed by the information processing device 40 in the seventh embodiment will be described with reference to FIG. 13. In the seventh embodiment, the same parts as those in the first embodiment will be described using the same reference numerals as those in the first embodiment, and the description of the overlapping parts will be omitted as appropriate. The seventh embodiment is different from the first embodiment in that the operating state information is generated for each type of biological information based on type information indicating the type of the sensor 10. In this embodiment, a capnometer (an example of the sensor 10) that transmits the end-tidal carbon dioxide concentration and an electrode (an example of the sensor 10) that transmits the electrocardiogram waveform are connected to each of the transmitters A to E. That is, in this embodiment, the end-tidal carbon dioxide concentration and the electrocardiogram waveform are transmitted from the sensor 10 to each of the transmitters A to E. FIG. 13 is a flowchart of the information processing method executed by the information processing device 40 in the seventh embodiment.
[0106] The information processing device 40 acquires the alarm information and type information by, for example, transmitting a request signal generated based on an input operation by a user to acquire the alarm information and type information stored in the storage unit 322 of the management device 30 to the management device 30 (STEP 111). Note that in this embodiment, the alarm information acquired by the information processing device 40 is comprehensive alarm information. Also, the comprehensive alarm information is acquired in a state linked to the type information.
[0107] Here, the alarm information (total alarm information) and type information acquired by the information processing device 40 in this embodiment will be described. In this embodiment, the information processing device 40 acquires type information of the sensor 10 in addition to the alarm information as exemplified in FIG. 3. In this embodiment, the biological information to be measured is determined for each sensor 10, and the capnometer measures the end-tidal carbon dioxide concentration and the electrode measures the electrocardiogram waveform. Therefore, the information processing device 40 can determine whether the acquired alarm information is alarm information related to the end-tidal carbon dioxide concentration or alarm information related to the electrocardiogram waveform by referring to the type information indicating the type of the sensor 10. In this way, the information processing device 40 can acquire alarm information related to the end-tidal carbon dioxide concentration and alarm information related to the electrocardiogram waveform separately based on the type information indicating the type of the sensor 10. In addition, the alarm information related to the end-tidal carbon dioxide concentration and the alarm information related to the electrocardiogram waveform are separate information.
[0108] Returning to FIG. 13, STEP 112 and the following steps will be described. STEP 112 to STEP 114 are the same as STEP 02 to STEP 04 in the first embodiment. In this embodiment, the processed information generated by the control unit 43 is the processed information as exemplified in FIG. 4. However, in this embodiment, the processed information is linked to type information. As described above, the information processing device 40 separately acquires alarm information related to the end-tidal carbon dioxide concentration and alarm information related to the electrocardiogram waveform based on type information indicating the type of the sensor 10, so the processed information in this embodiment includes processed information related to the end-tidal carbon dioxide concentration and processed information related to the electrocardiogram waveform. In addition, the processed information related to the end-tidal carbon dioxide concentration and the processed information related to the electrocardiogram waveform are separate information.
[0109] As illustrated in FIG. 13, the control unit 43 generates operating status information for each type of biological information based on the processing information and the type information (STEP 115). Specifically, the control unit 43 calculates a first aggregate value for the end-tidal carbon dioxide concentration by tallying up the number of occurrence information included in the processing information for the end-tidal carbon dioxide concentration. The control unit 43 calculates the operating rate of the transmitter 20 for the end-tidal carbon dioxide concentration for each transmitter 20 by dividing the first aggregate value for the end-tidal carbon dioxide concentration by the number of unit periods and multiplying the result by 100. The control unit 43 also calculates the operating rate of the transmitter 20 for the electrocardiogram waveform by performing the same process as that performed when calculating the operating rate of the transmitter 20 for the end-tidal carbon dioxide concentration. In this way, the control unit 43 generates operating status information for the end-tidal carbon dioxide concentration and operating status information for the electrocardiogram waveform.
[0110] STEP 116 to STEP 118 are the same as STEP 06 to STEP 08 in the first embodiment. However, in STEP 116, the control unit 43 generates display data for each type of biological information. In this embodiment, the control unit 43 generates display data related to the end-tidal carbon dioxide concentration based on the operating state information related to the end-tidal carbon dioxide concentration, and generates display data related to the electrocardiogram waveform based on the operating state information related to the electrocardiogram waveform. In this embodiment, it is assumed that the user has performed an input operation on the operation unit 42 to display an image based on the display data related to the end-tidal carbon dioxide concentration and the display data related to the electrocardiogram waveform on the display unit 44. Therefore, in this embodiment, an image based on the display data related to the end-tidal carbon dioxide concentration and the display data related to the electrocardiogram waveform is displayed on the display unit 44.
[0111] In this embodiment, a bar graph as shown in Fig. 5 is displayed on the display unit 44. However, in this embodiment, a bar graph showing the operation rate of the transmitter 20 related to the end-tidal carbon dioxide concentration and a bar graph showing the operation rate of the transmitter 20 related to the electrocardiogram waveform are displayed on the display unit 44. By visually checking such images, the user can understand the operation state of the transmitter 20 for each type of biological information.
[0112] In this embodiment, the information processing device 40 achieves the same effects as in the first embodiment.
[0113] Furthermore, according to the information processing device 40 having the above-described configuration, operating status information is generated for each type of biometric information based on type information indicating the type of sensor 10, so that the user can grasp the operating status of the transmitter 20 for each type of biometric information.
[0114] (Eighth embodiment) Next, an information processing method executed by the information processing device 40 in the eighth embodiment will be described with reference to FIG. 14. In the eighth embodiment, the same parts as those in the second or seventh embodiment will be described using the same reference numerals as those in the second or seventh embodiment, and the description of the overlapping parts will be omitted as appropriate. The eighth embodiment differs from the second embodiment in that the overall operating state information is generated for each type of biological information based on type information indicating the type of the sensor 10. In this embodiment, as in the seventh embodiment, the end-tidal carbon dioxide concentration and the electrocardiogram waveform are transmitted from the sensor 10 to each of the transmitters A to E. FIG. 14 is a flowchart of the information processing method executed by the information processing device 40 in the eighth embodiment.
[0115] STEP 121 to STEP 125 are the same as STEP 111 to STEP 115 in the seventh embodiment. Note that, in this embodiment, the alarm information and type information acquired by the information processing device 40 in STEP 121 are the same as the alarm information and type information in the seventh embodiment. Therefore, the processing information generated by the control unit 43 in this embodiment is also the same as the processing information in the seventh embodiment.
[0116] As illustrated in FIG. 14, the control unit 43 generates, for each type of biological information, usage flag information indicating whether the transmitter 20 was used in the first period based on the alarm information (STEP 126). For example, if the availability of the transmitter B based on the alarm information related to the end-tidal carbon dioxide concentration related to the transmitter B on April 1, 2023 is 10%, the control unit 43 determines that the transmitter B is not used on the same day with respect to the end-tidal carbon dioxide concentration. On the other hand, for example, if the availability of the transmitter B based on the alarm information related to the electrocardiogram waveform related to the transmitter B on April 1, 2023 is 50%, the control unit 43 determines that the transmitter B is used on April 1, 2023 with respect to the electrocardiogram waveform.
[0117] The control unit 43 generates overall operating status information for each type of biological information based on type information indicating the type of the sensor 10 (STEP 127). Specifically, the control unit 43 generates, as the overall operating status information, percentage information indicating the percentage of the transmitters 20 determined to have been used in the first period among the multiple transmitters 20 (transmitter A to transmitter E) by the same calculation as in the second embodiment. However, in this embodiment, the control unit 43 generates percentage information for each type of biological information. That is, the control unit 43 generates percentage information regarding the end-tidal carbon dioxide concentration and percentage information regarding the electrocardiogram waveform. For example, on April 1, 2023, in the case where use flag information indicating that transmitters A to C are not used and that transmitters D and E are used is generated with respect to the end-tidal carbon dioxide concentration, the control unit 43 calculates a numerical value of 40% (2 units / 5 units*100=40%) as the percentage information regarding the end-tidal carbon dioxide concentration. Furthermore, if on April 1, 2023, usage flag information indicating that transmitter A is not in use is generated for the electrocardiogram waveform, while usage flag information indicating that transmitters B to E are in use is generated, the control unit 43 will calculate the percentage information regarding the electrocardiogram waveform as 80% (4 units / 5 units * 100 = 60%).
[0118] STEP 128 to STEP 131 are the same as STEP 18 to STEP 21 in the second embodiment. However, in STEP 129, the control unit 43 generates display data for each type of biological information. In this embodiment, the control unit 43 generates display data related to the end-tidal carbon dioxide concentration based on the overall operating state information related to the end-tidal carbon dioxide concentration, and generates display data related to the electrocardiogram waveform based on the overall operating state information related to the electrocardiogram waveform. In this embodiment, it is assumed that the user has performed an input operation on the operation unit 42 to display an image based on the display data related to the end-tidal carbon dioxide concentration and the display data related to the electrocardiogram waveform on the display unit 44. Therefore, in this embodiment, an image based on the display data related to the end-tidal carbon dioxide concentration and the display data related to the electrocardiogram waveform is displayed on the display unit 44.
[0119] In this embodiment, a line graph as shown in Fig. 8 is displayed on the display unit 44. However, in this embodiment, a line graph based on the percentage information on the end-tidal carbon dioxide concentration and a line graph based on the percentage information on the electrocardiogram waveform are displayed on the display unit 44. By visually checking such an image, the user can grasp the transition of the percentage of transmitters 20 determined to have been used in April 2023 for each type of biological information.
[0120] In this embodiment, the information processing device 40 also achieves the same effects as those of the second and seventh embodiments.
[0121] In this embodiment, a computer-readable medium may be used. The computer-readable medium refers to any type of physical memory (RAM, ROM, etc.) that can store information or data that can be read by a processor. The computer-readable medium may store instructions for execution by one or more processors. The term "computer-readable medium" includes tangible items and excludes carrier waves and transitory signals (i.e., non-transitory). Non-transitory computer-readable media include, for example, magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memories (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), and flash ROMs).
[0122] The above-described embodiments are provided for the purpose of facilitating understanding of the present disclosure, and are not intended to limit the present disclosure. The present disclosure may be modified or improved without departing from the spirit and scope of the present disclosure.
[0123] In the above embodiment, the sensor 10 may further include a sensor information storage unit 13, as indicated by a dashed line in Fig. 1. The sensor information storage unit 13 functions as a sensor information storage means and stores the type of the sensor 10. The sensor information storage unit 13 stores type information relating to the type of the sensor 10 in a storage element such as a resistor or a memory (ROM). The storage element is embedded, for example, in a connector on the sensor side of a cable that connects the sensor 10 and the transmitter 20. When the sensor 10 includes the sensor information storage unit 13, the receiver 21 of the transmitter 20 receives type information of the sensor 10 from the sensor information storage unit 13 and transmits the type information to the control unit 22.
[0124] The means for identifying the type of the sensor 10 is not limited to the above embodiment. For example, the determination unit 323 of the management device 30 may receive, from the transmitter 20, information about a connection port on the transmitter 20 side to which a cable connecting the sensor 10 and the transmitter 20 is connected, identify the type of the sensor 10 based on the information, and generate type information of the sensor 10.
[0125] The means for generating the duration information is not limited to the above embodiment. For example, the measurement unit 221 of the transmitter 20 may calculate the continuous use time of the sensor 10 based on the start time information and the end time information, and generate the duration information indicating the continuous use time.
[0126] In the above embodiment, the information processing system 1 includes the sensor 10, the transmitter 20, the management device 30, and the information processing device 40. Instead of the transmitter 20, the information processing system 1 may include, for example, a bedside monitor. In this case, the bedside monitor performs the function of the transmitter 20. In addition, when the information processing system 1 includes a bedside monitor instead of the transmitter 20, the bedside monitor may generate the operating state information (which may include the overall operating state information), the long-term operating state information, and the overall operating state information. In this case, the bedside monitor is an example of an information processing device, and includes a control unit similar to the control unit 43 of the information processing device 40. In this case, the information processing system 1 may or may not include the information processing device 40. The bedside monitor may transmit the generated operating state information, etc. to the information processing device 40 directly or via the management device 30, or may display an image based on the display data on a display unit included in the bedside monitor.
[0127] In the above embodiment, the operating status information (which may include overall operating status information), the long-term operating status information, and the comprehensive operating status information are generated by the information processing device 40, but they may also be generated by, for example, the management device 30. In this case, the management device 30 includes a control unit similar to the control unit 43 of the information processing device 40. In addition, in this case, the management device 30 is an example of an information processing device.
[0128] In the above embodiment, the alarm information is distinguished as either a vital alarm or a technical alarm, but it does not have to be distinguished as either a vital alarm or a technical alarm.
[0129] In the above embodiment, the control unit 43 may generate, for example, operating status information (which may include overall operating status information), long-term operating status information, and comprehensive operating status information, or may generate two of these pieces of information.
[0130] 6 is executed, but steps 12 to 15 may not be executed. That is, in the second embodiment, use flag information may be generated without generating generation information.
[0131] In the third embodiment, the long-term operation status information of the transmitter 20 is the long-term operation rate of the transmitter 20, but may be, for example, an operation level corresponding to the long-term operation rate of the transmitter 20.
[0132] In the fourth embodiment, the control unit 43 generates the overall operating status information based on the long-term operating status information. However, the control unit 43 may generate the overall operating status information based on the operating status information indicating the operating status of each transmitter 20 in the first period. In this case, the control unit 43 may calculate the second overall value (an example of the overall operating status information) by, for example, dividing the total number of pieces of usage flag information of each transmitter 20 by the product of the number of transmitters 20 and the number of first periods, and then multiplying the result by 100. In this case, the control unit 43 calculates, for example, 48% (((transmitter A: 0 + transmitter B: 12 + transmitter C: 21 + transmitter D: 15 + transmitter E: 24) / (5 units*30 days))*100=48%) as the second overall value. In addition, in this case, the control unit 43 may generate the third overall value (an example of the overall operating status information) by, for example, dividing the total number of pieces of usage flag information of each transmitter 20 by the number of first periods. For example, if the total percentage of transmitters 20 determined to have been used in the first period is 1440% and the number of first periods is 30, the control unit 43 calculates the third total value as 48% (1440% / 30 days=48%).
[0133] In the fourth embodiment, the control unit 43 generates the comprehensive operating status information based on the long-term operating status information, but the comprehensive operating status information may be generated based on the long-term operating status information and operating status information indicating the operating status of each transmitter 20 in the first period. In this case, the control unit 43 generates the comprehensive operating status information by, for example, calculating the average value of the first total value and at least one of the second total value and the third total value.
[0134] In the third embodiment, the control unit 43 generates the usage flag information based on whether the operation amount of the transmitter 20 is equal to or greater than a predetermined value, but the usage flag information may be generated based on whether the total value of the occurrence counts of the vital alarm and the technical alarm is equal to or greater than a predetermined value, for example. In other words, in the third embodiment, steps 32 to 35 do not have to be executed.
[0135] In the fourth embodiment, the control unit 43 generates the usage flag information based on whether the operation amount of the transmitter 20 is equal to or greater than a predetermined value, but the usage flag information may be generated based on whether the total value of the occurrence counts of the vital alarm and the technical alarm is equal to or greater than a predetermined value, for example. In other words, in the fourth embodiment, steps 52 to 55 do not have to be executed.
[0136] In the fifth embodiment, the display unit 44 displays a bar graph showing the average value of the operation rates of the transmitters 20 belonging to the internal medicine department and a bar graph showing the average value of the operation rates of the transmitters 20 belonging to the surgery department, but only one of the bar graphs may be displayed. In this case, the user can understand the operation status of the transmitters 20 by focusing on a specific ward.
[0137] In the sixth embodiment, the display unit 44 displays a line graph showing the change in the ratio of transmitters 20 belonging to the internal medicine department determined to have been used in the second period and a line graph showing the change in the ratio of transmitters 20 belonging to the surgery department determined to have been used in the second period, but only one of the line graphs may be displayed. In this case, the user can focus on a specific ward and grasp the change in the ratio of transmitters 20 determined to have been used in April 2023.
[0138] In the seventh embodiment, the display unit 44 displays a bar graph showing the operation rate of the transmitter 20 with respect to the end-tidal carbon dioxide concentration and a bar graph showing the operation rate of the transmitter 20 with respect to the electrocardiogram waveform, but only one of the bar graphs may be displayed. In this case, the user can understand the operation state of the transmitter 20 by focusing on a specific piece of biological information.
[0139] In the eighth embodiment, the display unit 44 displays a line graph based on the percentage information on the end-tidal carbon dioxide concentration determined to have been used in the second period and a line graph based on the percentage information on the electrocardiogram waveform determined to have been used in the second period, but only one of the line graphs may be displayed. In this case, the user can focus on specific biological information and grasp the transition of the percentage of transmitters 20 determined to have been used in April 2023.
[0140] In the above embodiment, the number of transmitters 20 is five, but it may be six or more, or four or less.
[0141] In the second embodiment, the control unit 43 generates the overall operation status information indicating the operation status of the multiple transmitters 20 based on the use flag information. However, for example, the control unit 43 may generate the overall operation status information based on the alarm information without generating the use flag information. In this case, the control unit 43 may generate a value obtained by dividing the total number of occurrences of the vital alarms and technical alarms of each transmitter 20 by the total number of average alarms of each transmitter 20 and multiplying the result by 100 as the overall operation status information. The average alarm count of the transmitter 20 may be calculated by performing statistical processing on the number of past alarms of the transmitter 20. For example, if the total number of occurrences of the vital alarms and technical alarms of the transmitters A to E is 155 times and the total number of average alarms of the transmitters A to E is 200 times, the control unit 43 calculates a value of 78% (155 times / 200 times*100≒78%) as the overall operation status information.
[0142] In the seventh and eighth embodiments, the control unit 43 generates operating status information (including overall operating status information) for each type of biological information based on type information indicating the type of the sensor 10, but the present disclosure is not limited to this. For example, the control unit 43 may generate operating status information for each type of biological information based on the type of biological information. Note that the biological information may be primary information (respiratory signal, pulse wave signal, etc.) or secondary information (respiratory rate, pulse wave rate, pulse wave amplitude, etc.) calculated based on the primary information.
[0143] As described above, the present specification discloses the following: (1) at least one processor; A memory that stores at least one instruction executable by the processor, When at least one of the instructions is executed by the processor, the information processing device: An information processing device that generates operating status information indicating the operating status of the transmitter during a first period based on alarm information including at least one of a vital alarm indicating an abnormality in a subject's biological information and a technical alarm indicating an abnormality in at least one of a sensor that measures the biological information and a transmitter that transmits the biological information. (2) generating occurrence information indicating whether at least one of the vital alarm and the technical alarm has occurred in a unit period obtained by dividing the first period into a plurality of intervals based on the alarm information; The information processing device according to (1) , further comprising: a processor configured to generate the operation status information based on the generated information; (3) The information processing device according to (1) or (2), wherein the operating status information is information indicating an operating amount of the transmitter. (4) An information processing device according to any one of (1) to (3), which generates the operational status information indicating the operational status of a plurality of the transmitters. (5) generating, for each of the transmitters, usage flag information indicating whether the transmitter has been used during the first period based on the alarm information; The information processing device according to (4), further comprising: generating the operation status information indicating the operation status of the plurality of transmitters based on the usage flag information. (6) The information processing device according to (5), wherein the usage flag information is generated based on whether the operating amount of the transmitter is greater than or equal to a predetermined value. (7) The information processing device according to (6), wherein the predetermined value is set arbitrarily by a user. (8) An information processing device described in any one of (1) to (7), which generates long-term operating status information for each transmitter based on the operating status information, the long-term operating status information indicating the operating status of the transmitter during a second period including multiple of the first periods. (9) An information processing device described in any one of (1) to (8), wherein the operational status information indicating the operational status of the multiple transmitters is information indicating the proportion of the multiple transmitters that were determined to have been used during the first period. (10) An information processing device described in any one of (1) to (7), in which comprehensive operating status information indicating the operating status of multiple transmitters in the second period is generated based on at least one of the operating status information indicating the operating status of each transmitter in the first period and long-term operating status information indicating the operating status of each transmitter in a second period including multiple first periods. (11) The information processing device according to any one of (1) to (10), which generates the operating status information for each of the multiple transmitters based on affiliation information indicating the affiliation of each of the multiple transmitters. (12) An information processing device according to any one of (1) to (11), wherein the operating status information is generated for each type of biometric information based on type information indicating the type of the sensor or the type of the biometric information. (13) An information processing method executed by an information processing device, comprising: An information processing method comprising a step of generating operating status information indicating the operating status of a transmitter during a first period based on alarm information including at least one of a vital alarm indicating an abnormality in a subject's biological information and a technical alarm indicating an abnormality in at least one of a sensor that measures the biological information and a transmitter that transmits the biological information. (14) A computer program comprising at least one instruction for execution by a processor of an information processing device, At least one of the instructions, when executed by the processor, causes the information processing device to: A computer program that generates operating status information indicating the operating status of a transmitter during a first period based on alarm information including at least one of a vital alarm indicating an abnormality in a subject's biological information and a technical alarm indicating an abnormality in at least one of a sensor that measures the biological information and a transmitter that transmits the biological information. (15) A non-transitory computer-readable medium having stored thereon the computer program described in (14). [Explanation of symbols]
[0144] 1: information processing system, 10: sensor, 11: wearing unit, 12: measurement unit, 13: sensor information storage unit, 20: transmitter, 21: receiving unit, 22, 32, 43: control unit, 23: transmission unit, 24, 33, 45: bus, 30: management device, 31, 41: input / output interface, 40: information processing device, 42: operation unit, 44: display unit, 221: measurement unit, 222: failure detection unit, 223, 322: storage unit, 321: calculation unit, 323: judgment unit
Claims
1. At least one processor; A memory that stores at least one instruction executable by the processor, When at least one of the instructions is executed by the processor, the information processing device: An information processing device that generates operating status information indicating the operating status of the transmitter during a first period based on alarm information including at least one of a vital alarm indicating an abnormality in a subject's biological information and a technical alarm indicating an abnormality in at least one of a sensor that measures the biological information and a transmitter that transmits the biological information.
2. generating occurrence information indicating whether or not at least one of the vital alarm and the technical alarm has occurred in a unit period obtained by dividing the first period into a plurality of intervals based on the alarm information; The information processing apparatus according to claim 1 , wherein the operating status information is generated based on the occurrence information.
3. The information processing apparatus according to claim 1 , wherein the operation status information is information indicating an operation amount of the transmitter.
4. The information processing apparatus according to claim 1 , further comprising: a processor configured to generate the operational status information indicating operational statuses of a plurality of the transmitters.
5. generating usage flag information for each of the transmitters, the usage flag information indicating whether the transmitters have been used during the first period, based on the alarm information; The information processing apparatus according to claim 4 , further comprising: generating the operation status information indicating operation statuses of the plurality of transmitters based on the usage flag information.
6. The information processing device according to claim 5 , wherein the usage flag information is generated based on whether an operation amount of the transmitter is equal to or greater than a predetermined value.
7. The information processing device according to claim 6 , wherein the predetermined value is arbitrarily set by a user.
8. The information processing apparatus according to claim 1 or 2, further comprising: generating, for each of the transmitters, long-term operating status information indicating an operating status of the transmitter during a second period including a plurality of the first periods, based on the operating status information.
9. 3. The information processing device according to claim 1, wherein the operational status information indicating the operational status of the plurality of transmitters is information indicating a proportion of the plurality of transmitters that are determined to have been used during the first period.
10. 3. The information processing device of claim 1, wherein comprehensive operating status information indicating the operating status of the multiple transmitters in the second period is generated based on at least one of the operating status information indicating the operating status of each transmitter in the first period and long-term operating status information indicating the operating status of each transmitter in a second period including multiple of the first periods.
11. The information processing apparatus according to claim 1 , further comprising: generating the operating status information for each of the plurality of transmitters based on affiliation information indicating an affiliation of each of the plurality of transmitters.
12. The information processing apparatus according to claim 1 , wherein the operating status information is generated for each type of the biological information based on type information indicating a type of the sensor or a type of the biological information.
13. An information processing method executed by an information processing device, An information processing method comprising a step of generating operating status information indicating the operating status of a transmitter during a first period based on alarm information including at least one of a vital alarm indicating an abnormality in a subject's biological information and a technical alarm indicating an abnormality in at least one of a sensor that measures the biological information and a transmitter that transmits the biological information.
14. A computer program comprising at least one instruction for execution by a processor of an information processing device, At least one of the instructions, when executed by the processor, causes the information processing device to: A computer program that generates operating status information indicating the operating status of a transmitter during a first period based on alarm information including at least one of a vital alarm indicating an abnormality in a subject's biological information and a technical alarm indicating an abnormality in at least one of a sensor that measures the biological information and a transmitter that transmits the biological information.
15. A non-transitory computer readable medium having stored thereon the computer program of claim 14.
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