WO2023013250A1 - 機能推奨システム及び機能推奨方法 - Google Patents
機能推奨システム及び機能推奨方法 Download PDFInfo
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- WO2023013250A1 WO2023013250A1 PCT/JP2022/023711 JP2022023711W WO2023013250A1 WO 2023013250 A1 WO2023013250 A1 WO 2023013250A1 JP 2022023711 W JP2022023711 W JP 2022023711W WO 2023013250 A1 WO2023013250 A1 WO 2023013250A1
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- G16H40/40—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
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- G—PHYSICS
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
Definitions
- the present invention relates to a function recommendation system and a function recommendation method for recommending functions executable by a medical device to a user.
- Patent Literature 1 discloses an analyzer having a function of displaying a recommended replacement time period for reagents on a display unit.
- the analyzer of Patent Literature 1 is an automatic analyzer that performs a sample test using a plurality of reagents, and has a recording unit that stores past measurement history. Then, the analyzer of Patent Document 1 predicts the usage status of the day based on the past measurement history, and based on the predicted usage status of the day and the remaining amount of a plurality of reagents, sets a recommended replacement time period for reagent replacement. indicate.
- the present invention provides a technique for recommending useful functions suitable for the usage conditions of a medical device without burdening the user with advanced and complicated work for effectively using various functions installed in the medical device. .
- the present invention is a function recommendation system that recommends functions executable by a medical device to a user, and includes an operation information recording unit that stores operation information indicating the operation status of the medical device, and a function to be executed by the medical device. a function information recording unit for storing function information including a use condition for performing the function; and a recommended function calculation unit for outputting a function corresponding to the use condition as a recommended function based on the operation information and the use condition.
- FIG. 1 is a diagram showing the overall configuration of a function recommendation system of Example 1;
- FIG. FIG. 12 is a diagram showing the overall configuration of a function recommendation system of Example 4;
- FIG. 12 is a diagram showing the overall configuration of a function recommendation system of Example 5;
- FIG. 4 is a diagram showing operation information and function information;
- 2 is a block diagram showing the hardware configuration of the medical device;
- FIG. It is a block diagram which shows the hardware constitutions of a cloud.
- It is a setting screen or the like for setting conditions for calculating recommended functions.
- 4 is a processing flow executed by a recommended function calculation unit;
- It is a setting screen or the like for setting conditions for calculating a review of the usage status of the medical device.
- It is a screen etc. which show the review of the usage condition of a medical device.
- FIG. 4 is a processing flow executed by an evaluation calculation unit; It is a screen etc. which show the prediction review of the usage condition in the medical device to which the recommendation function is applied. It is a screen etc. which show the review of the usage condition of the medical apparatus of other facilities.
- 2 is a processing flow executed by a similar facility calculation unit; 10 is a processing flow executed by a recommended function calculation unit of Example 2;
- FIG. 11 is a diagram for constructing a learned model that outputs recommended functions in Example 3;
- FIG. 11 shows a flow of building a trained model of Example 3.
- FIG. FIG. 10 is a diagram showing a trained model that outputs recommended functions in Example 3; 11 is a processing flow for outputting a function recommended by a trained model of Example 3;
- a medical device 102 of Example 1 has a function recommendation system 1 .
- One or more medical devices 102 are installed in the facility 101 .
- the medical device 102 is communicably connected to the cloud 107 via a network.
- the cloud 107 is also communicably connected to one or more medical devices installed in other facilities 110 via a network.
- the medical device 102 is a medical device such as an analysis device that analyzes a specimen and a processing device that pre-processes or post-processes a specimen.
- the medical device 102 is not limited to an analysis device or a processing device as long as it is a medical device.
- the medical device of the present invention is a device intended for diagnosis, treatment, or prevention of humans or animals.
- the medical device 102 includes various devices such as X-ray CT (computed tomography), MRI (magnetic resonance imaging), pacemaker, hemodialysis device, and endoscope.
- the function recommendation system 1 of the medical device 102 has an operation information recording unit 103, a function information recording unit 104, a calculation unit 105, and a display control unit 114.
- the operating information recording unit 103 records operating information indicating the operating status of the medical device 102 .
- the operation information recording unit 103 stores the usage history of consumables (reagents, etc.) used by the medical device 102 , inspection request information indicating the content of requests for inspections performed by the medical device 102 , inspections performed by the medical device 102 , turnaround time required for examinations performed by the medical device 102 , operation history of the medical device 102 , event history occurring in the medical device 102 , alarm history occurring in the medical device 102 , system setting information of the medical device 102 , the operating time of the medical device 102 , the replacement time and usage time of parts of the medical device 102 , the amount of water and electricity consumed by the medical device 102 , and other operating information 201 are recorded.
- FIG. 2 is a diagram showing operation information of the medical device.
- FIG. 2A shows operation information of the medical device 102 recorded by the operation information recording unit 103.
- FIG. FIG. 2A shows only the operation history of the medical device 102 out of the operation information 201, and the operation history of the medical device 102 includes the time when the operation was performed, the content of the operation history, and the state of the medical device 102. and stored in chronological order for each working day.
- 2B and 2C are diagrams showing function information 202 and 203 stored in the function information recording unit 104.
- the function information 202 and 203 is information related to functions for efficient use of the medical device 102 .
- Each of function information 202 and 203 includes a function name, operating information, usage conditions and effects.
- the function name indicates the name of the function.
- the operating information indicates the type of operating information required to recommend the function, and the terms of use are the conditions for recommending the function.
- the usage condition is a condition for the type of operation information indicated by the operation information (operation history in FIG. 2(b), event history and inspection request information in FIG. 2(c)).
- the function information 202 is information about the rack reception function, and is presented to the user as a recommended function when the operation history satisfies the usage conditions. Specifically, the rack reception function is presented to the user as a recommended function when the device status in the operation history transitions from "preparation” to "analysis” at least twice a day. The effect of the rack reception function is to reduce the number of operation starts.
- the function information 203 is information relating to the stopwashing function, and is presented to the user as a recommended function when the event history and inspection request information satisfy the usage conditions. Specifically, when the event history changes from "reagent replacement" to "washing operation” and the test request information changes from test type "A" to "B", the stopwashing function is recommended to the user. presented to.
- the calculation unit 105 includes a recommended function calculation unit 111, an evaluation calculation unit 112, and a similar facility calculation unit 113.
- the recommended function calculation unit 111 calculates functions that make the use of the medical device 102 more efficient as recommended functions based on the operation information recorded by the operation information recording unit 103 and the function information recorded by the function information recording unit 104. do. As a result, it is possible to recommend useful functions suitable for the usage of the medical device 102 to the user without burdening the user with advanced and complicated work for effectively using various functions installed in the medical device 102. ⁇ can be done.
- the evaluation calculation unit 112 calculates a review of the current usage status of the medical device 102 based on the operation information recorded by the operation information recording unit 103 . This allows the laboratory technician or the like to confirm the evaluation of the current usage status of the medical device 102 . Based on the function recommended by the recommended function calculation unit 111 and the operation information recorded by the operation information recording unit 103, the evaluation calculation unit 112 performs a prediction review of the usage status when it is assumed that the recommended function is used. Calculate This allows the laboratory technician or the like to confirm the prediction of the evaluation of the usage status of the medical device 102 when the recommended function is used. The evaluation calculation unit 112 presents the calculated usage status review and usage forecast review to the user in the form of graphs and numerical values.
- the similar facility calculation unit 113 calculates reviews of usage conditions in similar facilities in order to facilitate objective understanding of the reviews of usage conditions calculated by the evaluation calculation unit 112 .
- the similar facility calculation unit 113 compares the review of the usage status calculated by the evaluation calculation unit 112 with reviews of the usage status of other facilities, and outputs the review.
- the similar facility calculation unit 113 may calculate a review of the usage status of medical devices in a similar facility, or may calculate a review of the usage status of a similar facility that summarizes a plurality of medical devices in other facilities. Also good.
- the similar facility calculation unit 113 may calculate reviews of usage conditions in similar facilities independently without comparing with reviews of usage conditions calculated by the evaluation calculation unit 112 .
- the laboratory technician or the like can check the review of the usage status of not only the medical apparatus 102 but also other medical apparatuses and similar facilities.
- the display control unit 114 displays the result calculated by the calculation unit 105 on the display unit 340 of the medical device 102 .
- a laboratory technician or the like can check the results displayed on the display unit 340 and determine whether to apply the recommended function to the medical device 102 .
- FIG. 3 is a diagram showing the hardware configuration of the medical device according to the first embodiment;
- the medical device 102 of Example 1 includes a transport section 310 , a processing section 320 , a control section 330 and a display section 340 .
- the transport unit 310 has a function of transporting specimens and reagents such as blood, cerebrospinal fluid, and urine to predetermined positions.
- the processing unit 320 separates the sample transported by the transport unit 310 and dispenses it into reaction containers. Also, the processing unit 320 dispenses the reagent transported by the transport unit 310 and dispenses it into the reaction container.
- the processing unit 320 agitates the sample and reagent in the reaction container, and irradiates the stirred reaction liquid in the reaction container with light.
- the light emitted from the reaction liquid is measured by a photometer and output to the control unit 330 .
- the display unit 340 has a liquid crystal display unit and a touch sensor that receives operations of an inspection engineer or the like, and displays the results calculated by the calculation unit 105 .
- the control unit 330 includes a processor 331, a communication interface 332 (hereinafter the interface is abbreviated as I/F), a main storage device 333, an auxiliary storage device 334, an input/output I/F 335, and each module described above. and a bus 336 communicatively connected.
- a display unit 340 is connected to the input/output I/F 335 .
- the processor 331 is a central processing unit that controls the operation of each part of the medical device 102 .
- the processor 331 is, for example, a CPU (Central Processing Unit), a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), or the like.
- the processor 331 expands the programs stored in the auxiliary storage device 334 into the working area of the main storage device 333 so that they can be executed.
- the main storage device 333 stores programs executed by the processor 331, data processed by the processor, and the like.
- the main storage device 333 is flash memory, RAM (Random Access Memory), ROM (Read Only Memory), or the like.
- the auxiliary storage device 334 stores various programs and various data.
- the auxiliary storage device 334 stores, for example, an OS (Operating System), various programs, various tables, and the like.
- the auxiliary storage device 334 is a silicon disk including a non-volatile semiconductor memory (flash memory, EPROM (Erasable Programmable ROM)), a solid state drive device, a hard disk (HDD, Hard Disk Drive) device, or the like.
- the communication I/F 332 is an interface for communicably connecting the medical device 102 to the cloud 107 via a network.
- the input/output I/F 335 receives operation instructions and the like from a user who operates an input device connected to the input/output I/F 335 .
- Input devices are, for example, keyboards, touch panels, mice, microphones, and the like.
- the input/output I/F 335 can be connected to, for example, a display unit 340 such as an LCD, an EL (Electroluminescence) panel, an organic EL panel, or an output device such as a printer or a speaker.
- the input/output I/F 335 outputs data and information processed by the processor 331 and data and information stored in the main storage device 333 and auxiliary storage device 334 to an output device.
- a control unit 330 having a processor 331 and a main storage device 333 functions as the operation information recording unit 103, the function information recording unit 104, the calculation unit 105, and the display control unit 114 by executing programs. .
- the operation information recording unit 103, the function information recording unit 104, the recommended function calculation unit 111, the evaluation calculation unit 112, the similar facility calculation unit 113, and the display control unit 114 of the first embodiment are software modules, but are hardware such as ASIC. It can be configured in modules.
- Part of the operation information recording unit 103, the function information recording unit 104, the recommended function calculation unit 111, the evaluation calculation unit 112, the similar facility calculation unit 113, and the display control unit 114 is a software module, and the remaining part is a hardware module. It may be a module.
- the cloud 107 collects and stores operating information 108 and function information 109 of medical devices of other facilities 110 connected to the cloud 107 .
- a medical device in another facility 110 may transmit the operation information 108 and the function information 109 to the cloud 107 according to a request from the cloud 107, or voluntarily transmit the operation information 108 and the function information 109 to the cloud 107.
- the medical device 102 of the facility 101 to the cloud 107 so as to be able to communicate with it, the medical device 102 can use new function information that the medical device 102 does not have but that the cloud 107 has as a function to recommend to the user. can be obtained from the cloud 107, which is an external device, via a network.
- the medical device 102 can then recommend the new function acquired from the cloud 107 to the laboratory technician or the like.
- the medical device 102 can use distribution information distributed from the cloud 107 to update function information recorded by the function information recording unit 104 and add new functions.
- the cloud 107 connects a processor 401, a communication I/F 402, a main storage device 403, an auxiliary storage device 404, an input/output I/F 405, and each module described above so as to be able to communicate.
- the cloud 107 may be a single computer such as a server, or may be a combination of a plurality of computers such as servers.
- the processor 401 is a central processing unit that controls the operation of each part of the cloud 107.
- the processor 401 is, for example, a CPU (Central Processing Unit), a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), or the like.
- the processor 401 expands the programs stored in the auxiliary storage device 404 into the working area of the main storage device 403 so that they can be executed.
- the main storage device 403 stores programs executed by the processor 401, data processed by the processor, and the like.
- the main storage device 403 is flash memory, RAM (Random Access Memory), ROM (Read Only Memory), or the like.
- Auxiliary storage device 404 stores various programs and various data.
- the auxiliary storage device 404 stores, for example, an OS (Operating System), various programs, various tables, and the like.
- the auxiliary storage device 404 is a silicon disk including a non-volatile semiconductor memory (flash memory, EPROM (Erasable Programmable ROM)), a solid state drive device, a hard disk (HDD, Hard Disk Drive) device, or the like.
- the communication I/F 402 is an interface for communicably connecting the cloud 107 to the medical device 102 and medical devices in other facilities 110 via a network.
- the input/output I/F 405 receives operation instructions and the like from an operator of the cloud 107 who operates an input device connected to the input/output I/F 405 .
- Input devices are, for example, keyboards, touch panels, mice, microphones, and the like.
- the input/output I/F 405 can be connected to display devices such as LCDs, EL (Electroluminescence) panels, and organic EL panels, and output devices such as printers and speakers.
- the input/output I/F 405 outputs data and information processed by the processor 401 and data and information stored in the main storage device 403 and the auxiliary storage device 404 to an output device.
- FIG. 5 shows a setting screen and the like for setting conditions for calculating recommended functions.
- FIG. 6 is a processing flow executed by the recommended function calculation unit.
- FIG. 5(a) the user can preset conditions for calculating recommended functions via the input/output device of the medical device 102.
- FIG. The setting screen 501 shown in FIG. 5A includes a check box 511 for setting whether to automatically apply the recommended function, a pull-down menu 512 for setting the timing for calculating the recommended function, and operation information. and a pull-down menu 513 for setting the range of 201. For example, if "beginning of every month" is set in the pull-down menu 512 and "one month" is set in the pull-down menu 513, the recommended It is possible to automatically calculate the functions to be performed.
- the setting screen 501 also includes a check box 514 for setting whether to enable a function for notifying application of the recommended function, and a check box 514 for setting whether to refer to function information on the cloud 107 . 515 and .
- the setting screen 501 also has a cancel button 516 for canceling the setting of the range of the setting screen 501 and an OK button 517 for confirming the setting of the range of the setting screen 501 .
- the user can set the range of the operation information 201 used to calculate the recommended functions via the input/output device of the medical device 102 .
- the user can set the range of operation information 201 in detail.
- the setting screen 502 shown in FIG. 5B includes an input box 521 for setting the start time of the range of the operation information 201 for recommending a function, and an input box 522 for setting the end time of the range of the operation information 201. have.
- the setting screen 502 also has a Cancel button 523 for canceling setting of the range of the operation information 201 and a Run button 524 for confirming setting of the range of the operation information 201 .
- the processing flow of FIG. 6 starts according to the selection of the Run button 524 of FIG. 5(b).
- FIG. 5(c) one or more recommended functions calculated by the recommended function calculation unit 111 are displayed on a list screen 503.
- FIG. The list screen 503 has check boxes 531, 532 and 533 provided for each recommended function.
- “apply selected function” 534 on list screen 503 is selected with any or all of check boxes 531 to 533 checked, the checked function is applied to medical device 102 .
- the check box 511 is checked, the automatically recommended function is applied to the medical device 102 without selecting the “apply selected function” 534 .
- the list screen 503 is provided with a link 535 for confirming the details of the recommended functions.
- This processing flow shows a function recommendation method.
- the user can select whether to verify only a specific function or to verify all functions. In the case of verification only for a specific function, it is possible to calculate whether or not the specific function is recommended in a short period of time.
- the recommended function calculation unit 111 confirms whether the function to be verified has been determined (S601). If the function to be verified has not been determined (S601: No), the recommended function calculation unit 111 refers to the usage conditions of the function information of all functions stored in the function information recording unit 104 (S602). If the function to be verified has been determined (S601: Yes), the recommended function calculation unit 111 refers to the usage conditions of the function information of the specific function (S603). In addition, when the medical device 102 is connected to the cloud 107 , the recommended function calculation unit 111 can also refer to the usage conditions of function information of new functions not stored in the medical device 102 from the cloud 107 . can.
- the recommended function calculation unit 111 collates the usage conditions referred to in S602 or S603 with the operation information 201 recorded by the operation information recording unit 103 (S604). At this time, the range of the operation information 201 to be referred to can be set one by one on the screen of FIG.
- the recommended function calculation unit 111 If there is operation information 201 that matches the referenced usage condition (S604: Yes), the recommended function calculation unit 111 outputs the function corresponding to the usage condition that matches the operation information 201 as a recommended function (S605).
- the recommended functions calculated by the recommended function calculation unit 111 are displayed on the display unit 340 as shown in FIG. 5(c). If there is no use condition that matches the operation information 201 (S604: No), the process ends.
- the processing flow in FIG. 6 may be started by the user's instruction, or may be started at the timing selected from the pull-down menu 512 in FIG. 5(a). By selecting a periodic timing from the pull-down menu 512, it is possible to automatically calculate recommended functions periodically. In addition, when a new function is added to the medical device 102, whether or not the new function can be recommended is calculated based on the operation information 201 for the added new function, and whether the new function can be recommended is automatically or manually recommended. New features may be adapted to medical device 102 .
- the rack reception function has, as parameters, a threshold time that can be set arbitrarily and enable/disable of the function. If the medical device 102 continues in the standby state for a set threshold time, it is possible to prohibit transition from the standby state to the hibernation state. The medical device 102 automatically transitions to a dormant state when the standby state continues for a predetermined period of time to reduce energy consumption. When the sample is input after entering the hibernation state, the medical device 102 performs an operation start and performs preparatory operations. Therefore, it takes time and effort to measure the sample due to the preparatory operation.
- the function information 202 regarding the rack reception function indicates that the rack reception function is recommended to the user when the device status of the operation history changes from "preparation” to "analysis” at least twice a day. presented to.
- the recommended function calculation unit 111 refers to the usage conditions from the function information 202 of the rack reception function both when S601 is Yes and No (S602, S603).
- the usage condition of the function information 202 is that "at least twice a day, the device status of the operation history transitions from "preparation” to "analysis””.
- the recommended function calculation unit 111 collates the usage conditions referred to in S602 or S603 with the operation information recorded by the operation information recording unit 103 (here, the operation history (see FIG. 2B)). S604).
- the operation history of the operation information 201 the state of the medical device 102 changes from preparation to analysis at 8:30 to 8:40 and 13:20 to 13:30.
- the operating information 201 matches the utilization conditions of the rack reception function (S604). If the operating information 201 matches the usage conditions, using the rack reception function improves the usage of the medical device 102 . Therefore, the recommended function calculation unit 111 outputs the rack reception function as a recommended function (S605).
- the user may be prompted to set the threshold time when recommending the rack reception function.
- the recommended function calculation unit 111 can also recommend the stopwashing function shown in FIG. 2(c).
- the stopwashing function is a function that suppresses the cell cleaning operation between designated inspection items. Normally, the cell cleaning operation is performed between test items to prevent carryover, but except for specific situations where carryover is likely to occur, the cell cleaning operation can be suppressed to reduce the amount of water and detergent used. desirable. By using the stopwashing function, it is possible to suppress the cell cleaning operation between specified inspection items.
- the recommended function calculation unit 111 compares the event history and inspection request information of the operation information 201 with the usage conditions of the stopwashing function (S602, S603). The function is output as a recommended function (S605).
- the medical device 102 of Example 1 can present a user with a review of the usage status of the medical device 102 .
- the medical device 102 of Example 1 can also present a review difference before and after application of the recommended function. This allows the user to check the presented review and consider whether to apply the recommended functions to the medical device 102 .
- FIG. 7 shows a setting screen and the like for setting conditions for calculating the review of the usage status of the medical device.
- FIG. 8 shows a screen or the like showing a review of the usage status of the medical device.
- FIG. 9 is a processing flow executed by the evaluation calculation unit.
- the setting screen 701 shown in FIG. 7A includes a check box 711 for setting whether or not to automatically calculate the usage review, a pull-down menu 712 for setting the timing of calculating the usage review, and an operating review. and a pull-down menu 713 for setting the range of the information 201 . For example, if "beginning of each month" is set in the pull-down menu 712 and "one month” is set in the pull-down menu 713, at the beginning of each month, based on the operation information 201 for the last month, the A review of the situation can be calculated automatically.
- the setting screen 701 also has an area 714 for setting report items to be displayed as a usage review, and an area 715 for setting evaluation items to be displayed as a usage review.
- the setting screen 701 also has a cancel button 716 for canceling the setting of the range of the setting screen 701 and an OK button 717 for confirming the setting of the range of the setting screen 701 .
- the user can set the range of the operation information 201 to be used for calculating the usage status review via the input/output device of the medical device 102 .
- the user can set the range of operation information 201 in detail.
- the setting screen 702 shown in FIG. 7B includes an input box 721 for setting the start time of the range of the operation information 201 for calculating the usage status review, and an input box 722 for setting the end time of the range of the operation information 201. and have
- the setting screen 702 also has a Cancel button 723 for canceling setting of the range of the operation information 201 and a Run button 724 for confirming setting of the range of the operation information 201 . According to selection of the Run button 724 of FIG.7(b), the processing flow of FIG. 9 is performed.
- FIG. 8(a) is a review screen showing a review of usage status
- FIG. 8(b) is a list screen showing a list of recommended functions
- FIG. It is the other facility review screen which shows the list of the review of a situation.
- the evaluation calculation unit 112 calculates a review of the usage status of the medical device 102 based on the operation information 201 within the specified range.
- a review screen 801 in FIG. 8A includes a period display area 802 that displays the specified range of the operation information 201, a report 803 that indicates the operation details of the medical device 102 for set report items, and the operation information 201. and an evaluation 804 that displays the evaluation calculated by the evaluation calculation unit 112 as a graphical radar chart.
- the review screen 801 also has a link 805 for viewing functions recommended by the recommended function calculation unit 111 and a link 806 for viewing reviews of other facilities provided by the similar facility calculation unit 113 .
- the list screen 807 of FIG. 8(b) is displayed, and when the link 806 is selected, the other facility review screen 809 of FIG. 8(c) is displayed. A description of the common parts of the list screen 807 and the list screen 503 will be omitted.
- the list screen 807 has a link 808 for checking the evaluation when applying the recommended function. It is also possible to apply the function selected on this list screen 807 to the medical device 102 .
- link 808 is selected, predictive review screen 1001 of FIG. 10 is displayed. The prediction review screen 1001 in FIG. 10 will be described later.
- the recommended function calculation unit 111 executes the processing flow of FIG. 6 to calculate recommended functions as shown in FIG. 8B.
- the other facility review screen 809 shown in FIG. 8(c) is displayed.
- the evaluation of the usage status of each facility is digitized and displayed. Further, by selecting the link 810 on the other facility review screen 809, the details of the evaluation of the other facility can be displayed.
- the items of the report 803 and the evaluation 804 on the review screen 801 of FIG. 8(a) are the items set in the areas 714 and 715 of FIG. 7(a), respectively. Note that the items of the report 803 and the evaluation 804 are not limited to the items set in the areas 714 and 715, and may be default items.
- the report 803 is configured based on the operating information 201 recorded by the operating information recording unit 103.
- the number of examinations indicates the number of specimens examined by the medical device 102 within the range of the operation information 201 set on the pull-down menu 713 or the setting screen 702 (hereinafter referred to as the measurement range).
- the number of urgent tests indicates the number of urgent samples tested within the measurement range.
- the number of inspection items indicates the number of types of inspection items requested within the measurement range.
- Average TAT indicates the average turnaround time for all specimens tested during the measurement range.
- the average operation time (OPS) indicates the average value of the number of times the medical device 102 has been restarted during the measurement range for sample inspection and accompanying preparatory operations such as cell cleaning.
- the maximum over-maintenance days indicates the number of days exceeding the maintenance period the most among the parts requiring regular maintenance.
- the average amount of water consumed indicates the average amount of water consumed for testing one specimen.
- the items of the report 803 are only an example of a summary report, and there is a possibility that the items will be updated, such as by changing or adding items, along with future software updates. For example, if there is a user's request, it is possible to add items such as the amount of power used by the medical device 102, the number of alerts, and the downtime of the medical device 102 from the operation information.
- the evaluation 804 in FIG. 8 is a graphical radar chart calculated based on the operating information 201 recorded by the operating information recording unit 103.
- the radar chart includes the evaluation value of each item and the total evaluation value. Although it is possible to display the evaluation 804 only by numerical values, a graphical radar chart makes it easier for the user to intuitively grasp the usage status of the medical device.
- the radar chart includes, for example, five items of operation rate, TAT efficiency, eco-efficiency, degree of normal operation, and operational efficiency.
- Each item has a maximum of 20 points and a minimum of 0 points, so that the maximum total points is 100 points.
- the maximum score for each item fluctuates internally according to the number of items. If the score is greater than the maximum score or less than 0 points for each item, round it down.
- the method of calculating the value of each item is as follows.
- the operating rate indicates the proportion of time during which the medical device 102 is operating for sample analysis within the measurement range.
- the calculation method there is a method of dividing the working time for analysis on each measurement day by the recommended analysis time per day.
- TAT efficiency indicates the efficiency of the TAT (turnaround time) required for inspection.
- the TAT required for testing is assumed to be the time from when the sample is put into the medical device 102 until the test result is output.
- the TAT of a test may be defined as the time between drawing blood from a patient and reporting test results to the patient.
- the calculation method there is a method of calculating based on the value obtained by subtracting the minimum TAT from the average TAT and dividing it by the value obtained by subtracting the minimum TAT from the maximum allowable TAT.
- the average TAT is the average value of test turnaround times for one or more specimens analyzed within the measurement period.
- the minimum TAT is set as a fixed value for the minimum time required for sample testing
- Operational efficiency is an indicator of how efficiently the device can be used with fewer operations.
- the calculation method there is a method of calculating based on a value obtained by subtracting 1 from the average OPS (the number of operation starts) divided by the value obtained by subtracting 1 from the maximum OPS.
- the average OPS is the average number of operations started per day during the measurement period.
- the degree of normal operation is an indicator of whether equipment maintenance is being carried out normally.
- Eco-efficiency indicates the resources consumed and the efficiency that could be measured.
- the evaluation value calculated for each item is displayed as each value on the evaluation 804 radar chart.
- the items of the evaluation 804 and their calculation method described above are only examples, and items may be changed or added with future software updates. For example, if the user so desires, it is possible to add a cost-effective item calculated based on the operating cost of the medical device 102 and the profit obtained from the examination.
- the item of environmental efficiency is not limited to the amount of water, but can be calculated by replacing it with the amount of power consumption.
- the processing flow of FIG. 9 starts according to the selection of the Run button 724 of FIG. 7(b).
- the evaluation calculation unit 112 refers to the operation information 201 stored by the operation information recording unit 103, and extracts operation information within the measurement range (S901).
- the evaluation calculation unit 112 classifies the extracted operation information into each item of the report 803 and aggregates them (S902).
- the evaluation calculation unit 112 outputs the aggregated result as a report 803 (S903).
- the evaluation calculation unit 112 calculates the evaluation value of each item from the operation information 201 using the above-described calculation formula (S904).
- the evaluation calculation unit 112 also calculates the sum of the evaluation values for each item (S905). Then, the evaluation calculation unit 112 outputs the radar chart and numerical values as in the evaluation 804 (S906). By visualizing the review of the usage status of the medical device 102 , the evaluation calculation unit 112 can support the review of the operation method of the medical device 102 and the consideration of adopting the functions of the medical device 102 .
- FIG. 10 shows a screen or the like showing a review of the usage status when the function recommended by the recommended function calculation unit is applied.
- FIG. 10(a) is a prediction review screen showing a prediction review of usage when the recommended function is applied
- FIG. 10(b) shows operation information that matches the usage conditions of the recommended function.
- 10(c) is a diagram showing a recommended function manual.
- the evaluation calculation unit 112 calculates a predicted review of usage when the recommended function (function A in FIG. 10) is applied to the medical device 102 based on the operation information 201 within the specified range.
- the prediction review screen 1001 of FIG. 10A has a period display area 1002 that displays the range of the designated operation information 201, and a report 1003 that shows the operation details of the medical device 102 for the set report items. .
- the prediction review screen 1001 also has an evaluation 1004 that displays the evaluation calculated by the evaluation calculation unit 112 based on the operation information 201 as a graphical radar chart. Descriptions of the period display area 1002, report 1003, and evaluation 1004 common to the period display area 802, report 803, and evaluation 804 will be omitted as appropriate.
- markers 1009 are added to items and numerical values showing effects so that values showing effects when function A is applied are emphasized.
- the evaluation 1004 compares the evaluation 804 of FIG. 6 with the radar chart of FIG. 8 superimposed on the radar chart of the changed items so that the user can recognize the values of the evaluation items that have changed when the function A is applied. indicate.
- the solid line indicates the evaluation when the function A is applied, and the dotted line indicates the evaluation before the function A is applied.
- the total score (“87” in FIG. 10) when function A is applied is also displayed.
- the prediction review screen 1001 has a link 1005 for confirming cases where the recommended function is used, and a link 1006 for confirming the manual describing how to use the recommended function. Selecting link 1005 displays screen 1007 that confirms one or more cases where the recommended feature is used. On the screen 1007, the time and operation information 201 that match the usage conditions of the function A are displayed for each case. Also, when a link 1006 is selected, a manual 1008 showing how to use the recommended functions is displayed. If the manual is stored in the cloud 107 or another device, it is downloaded from the cloud 107 or another device via the network.
- function A a forecast review of the usage situation when the rack reception function is applied will be explained.
- the average OPS item of the report 803 was 3 times, and the operation efficiency item of the evaluation 804 was 10 points.
- the total value of evaluation 804 was 77 points.
- the average OPS item of the report 1003 changes from 3 times to 1 time on the predictive review screen 1001 due to the effect of the rack reception function.
- the total value of the evaluation 1004 is 87 points.
- FIG. 11 shows a screen or the like showing a review of the usage status of other facilities calculated by the similar facility calculation unit.
- FIG. 11(a) is a review screen 1101 showing a review of usage conditions at other facilities
- FIG. 11(b) is a confirmation screen 1106 for confirming the settings of the medical device 102 with other facilities.
- the similar facility calculation unit 113 calculates a review of the usage status of medical devices in other facilities based on the operation information 201 within the specified range.
- a review screen 1101 in FIG. 11(a) shows a review of the usage status of the medical devices of facility A.
- FIG. A review screen 1101 in FIG. 11A includes a period display area 1102 that displays the range of the designated operation information 201, a report 1103 that indicates the operation details of medical devices in other facilities regarding set report items, have
- the review screen 1101 also has an evaluation 1104 that displays the evaluation calculated by the similar facility calculation unit 113 based on the operation information 201 as a graphical radar chart.
- the review screen 1101 also has a link 1105 for comparing and confirming the settings of the medical device 102 calculated by the similar facility calculation unit 113 and the medical devices of other facilities.
- a period display area 1102, a report 1103, and an evaluation 1104 are similar to the period display area 802, report 803, and evaluation 804 in FIG.
- a confirmation screen 1106 shown in FIG. 11(b) is displayed.
- a confirmation screen 1106 compares and displays the settings of the functions used by the medical device 102 and the medical device of the facility A.
- FIG. A mark 1107 is affixed to the items with different setting contents to emphasize them. By attaching the mark 1107, the user can easily recognize different settings.
- a desired function is selected with a check box 1108, the details of the setting of the selected function are confirmed, the prediction review when the selected function is applied is confirmed, and the selected function is shared with other facilities. It is possible to apply or to be applied to any medical device. Since the similar facility calculation unit 113 can output reviews of other facilities, the user of the medical device 102 can apply or not apply the functions to the medical device 102 based on the functions used by highly rated facilities. function can be selected.
- the similar facility calculation unit 113 executes the processing flow in FIG. 12 to calculate reviews of the usage status of medical devices in other facilities.
- the similar facility calculation unit 113 is connected to the cloud 107 via a network.
- the similar facility calculation unit 113 accesses the cloud 107 and acquires the operation information 108 of other facilities collected by the cloud 107 (S1201).
- the similar facility calculation unit 113 checks the types of medical devices in other facilities, and determines whether or not they use the same type of device as the medical device 102 (S1202). If there is no facility using the same type of device (S1202: No), there is no review that can be referred to, so the processing flow of FIG. 12 ends.
- the similar facility calculation unit 113 determines that the input items (for example, the number of specimens, the number of emergency specimens) in the operation information 108 are similar. It is determined whether or not there is a facility that does this (S1203). If there is no similar facility (S1203: No), there is no review that can be referred to, so the processing flow of FIG. 12 ends. If there is a similar facility (S1203: Yes), the similar facility calculation unit 113 determines whether the items corresponding to the output (eg, average operating time, average TAT of laboratory tests) are superior to the medical device 102. It is determined whether or not (S1204).
- the input items for example, the number of specimens, the number of emergency specimens
- the operation information and function information are different for each medical device, but the computing unit 105 can evaluate the usage status of each medical device.
- the calculation unit 105 can also present functions that are individually recommended for each medical device.
- the recommended function calculation unit 111 can recommend a function that instructs the user how to distribute the samples to the medical devices so that the average value of all the multiple medical devices becomes small.
- FIG. 13 is a processing flow executed by the recommended function calculation unit according to the second embodiment.
- the recommended function calculation unit 111 of the second embodiment outputs a recommended function when the overall evaluation is improved.
- Configurations other than the recommended function calculation unit 111 and the evaluation calculation unit 112 are the same as those of the first embodiment, and thus the description thereof is omitted.
- the recommended function calculation unit 111 of the second embodiment executes S1301-S1304 in the same manner as S601-S604 of the first embodiment.
- a function that matches the operating information and the usage condition is recommended. Calculate reviews (ratings 804).
- the evaluation calculation unit 112 of the second embodiment calculates the evaluation 804 of the medical device 102 assuming that the functions that match the usage conditions are applied (S1305).
- the user can comprehensively evaluate the evaluation when the function that meets the usage condition is applied to the medical device 102, and can determine whether to apply the function that meets the usage condition.
- the total value is calculated as an index when the function that meets the usage condition is applied to the medical device 102 (S1305).
- the evaluation calculation unit 112 of the second embodiment compares the total value of the evaluation 804 with the total value of the evaluation 804 before applying the function that matches the usage conditions, and confirms whether it has increased (S1306). If the total value does not increase (S1306: No), the processing flow of FIG. 13 ends. If the total value increases (S1306: Yes), the recommended function calculation unit 111 outputs a list screen that recommends functions that increase the total value, such as the list screen 807 in FIG. 8B.
- the recommended function calculation unit 111 refers to the usage conditions from the function information 202 of the rack reception function both when S1301 is Yes and No (S1302, S1303).
- the usage condition of the function information 202 is that "at least twice a day, the device status of the operation history transitions from "preparation” to "analysis””.
- the recommended function calculation unit 111 collates the usage conditions referred to in S1302 or S1303 with the operation information recorded by the operation information recording unit 103 (here, the operation history (see FIG. 2B)). S1304).
- the operation history of the operation information 201 the state of the medical device 102 changes from preparation to analysis at 8:30 to 8:40 and 13:20 to 13:30.
- the operation information 201 matches the usage conditions of the rack reception function (S1304: Yes).
- the evaluation calculation unit 112 If the operation information 201 matches the usage conditions (S1304: YES), the evaluation calculation unit 112 outputs the evaluation when the rack reception function is applied (S1305). Since the rack reception function has the effect of reducing the number of operation starts, the evaluation calculation unit 112 calculates the evaluation by reducing the number of operation starts. For example, the evaluation calculation unit 112 calculates a virtual average OPS when the number of operation starts that meet the usage conditions is reduced from the operation history within the measurement range. Then, based on the calculated average OPS, the value of the operational efficiency of the evaluation item of the evaluation 804 is calculated, and the total value is also calculated. As a result, the evaluation calculation unit 112 checks whether the total evaluation value when the rack reception function is applied is greater than the total evaluation value before applying the rack reception function (S1306).
- the recommended function calculation unit 111 recommends the rack reception function (S1307).
- the recommended function calculation unit 111 may present the predictive review shown in FIG. 10 calculated by the evaluation calculation unit 112 together with the recommendation of the rack reception function.
- Example 2 a function is recommended when the total evaluation value increases, but it is also possible to recommend a function by determining that the evaluation calculated by another method has improved. For example, each evaluation item may be weighted, an item considered important by the user may be prioritized, and a total value may be calculated, and a function may be recommended based on the total value.
- the recommended function calculation unit 111 in the first and second embodiments is a software module implementing a unique algorithm
- the implemented algorithm may be an AI.
- the recommended function calculation unit 111 of the third embodiment is a trained model by a neural network, and outputs functions recommended by this trained model.
- Fig. 14 is a diagram of building a trained model using a neural network that outputs recommended functions.
- the trained model 1402 assumes a known neural network and has an input layer, an intermediate layer, and an output layer. Information input to the input layer is sent to the intermediate layer, and information received by the intermediate layer is subjected to processing such as weighting and conversion. After that, the intermediate layer sends the processed information to the output layer, and the output layer further processes the information received from the intermediate layer, such as weighting and conversion, and outputs a solution as an inference result.
- a trained model 1402 shown in FIG. 14 is learned repeatedly using teacher data 1401 .
- the teacher data 1401 is past accumulated data of the facility and data of other facilities collected by the cloud 107 .
- the data with which the learning model is trained is only the data with the evaluation value calculated by the evaluation calculation unit 112 exceeding a preset threshold value. Therefore, the accuracy of the trained model 1402 depends on the amount of teacher data 1401 used and the evaluation value of each data.
- the teacher data 1401 consists of data such as operating information, used function information, and environment information.
- the operating information is the same as the operating information described above.
- the evaluation calculation unit 112 calculates an evaluation value based on the operation information, and this calculated evaluation value also becomes the teacher data 1401 .
- the used function information is the function used at the time of evaluation and its setting information.
- the environmental information includes information such as the type of device used at the time of evaluation, software Ver information, and function information 202 and 203 described in FIG.
- the learning model is repeatedly updated by giving the operation information and environment information of the teacher data as input and the used function information as output. Then, the training model 1402 is constructed by adjusting the weighting method in the intermediate layer and the output layer according to the training data of the facilities with high evaluation.
- Fig. 15 shows the construction flow of the learning model. This construction flow is the processing performed after S906 in the processing flow of FIG. 9 described above.
- the evaluation calculation unit 112 calculates an evaluation value from the operation information and compares the evaluation value with a preset threshold value (S1501). Then, when the evaluation value is higher than the threshold (S1501: Yes), the evaluation calculation unit 112 creates teacher data (S1502). If the evaluation value is low (S1501: No), the construction flow of FIG. 15 is terminated.
- the above-described threshold value may be a value arbitrarily set by the user, or may be held as a top percentage value on the system side.
- the evaluation calculation unit 112 creates teacher data by collecting the used function information and the environment information in FIG.
- the evaluation calculation unit 112 updates the learning model using the teacher data (S1503).
- the learning model building flow is automatically executed periodically in the background, not when the user explicitly executes evaluation calculations.
- it is desirable that the teacher data and learning model are uploaded to the cloud 107 periodically after creating and updating the trained model.
- FIG. 16 is a diagram showing a trained model that outputs recommended functions. As an input 1601, operating information and environmental information in a facility are input, and as an output 1602, a recommended function is output.
- FIG. 17 is a processing flow for outputting the functions recommended by the trained model.
- the processing flow of FIG. 17 is similar to the processing flow of FIG. A different point is that in FIG. 6, in S602, the usage conditions of all functions are referred to from the function information to search for functions that will be recommended later.
- the function recommended by the trained model is output. By using a trained model, it is possible to output functions that are suitable for the usage conditions of the facility and that are expected to improve in evaluation as recommended functions.
- the medical device 102 has the computing unit 105 , but the computing unit 105 may not exist in the medical device 102 .
- a server 106 installed in a facility 101 has a calculator 105 having a recommended function calculator 111, an evaluation calculator 112, and a similar facility calculator 113.
- the display control unit 114 of the server 106 displays various screens on the display unit connected to the server 106 or the display unit of the medical device 102 . That is, in the fourth embodiment, the on-premise server 106 has the computing unit 105 and the display control unit 114 .
- the on-premise server 106 has the computing unit 105 , but the computing unit 105 may be installed in the cloud 107 .
- facility 101 is not equipped with computing unit 105
- cloud 107 has computing unit 105 .
- the cloud 107 also includes an operation information recording unit 103 that receives and records the operation information 201 received from the medical device 102, and a function information recording unit that receives and records the function information 203 and 203 received from the medical device 102. 104. Then, the display control unit 114 of the cloud 107 displays various screens on the display unit connected to the cloud 107 or the display unit of the medical device 102 .
- Function recommendation system 101 Facility 102: Medical device 103: Operation information recording unit 104: Function information recording unit 105: Calculation unit 107: Cloud 108: Operation information 109: Function information 110: Other facility 111: Recommended function calculation unit 112: Evaluation calculation unit 113: Similar facility calculation unit 114: Display control unit 201: Operation information 202: Function information 203: Function information 310: Transport unit 320: Processing unit 330: Control unit 331: Processor 332: Communication I/F 333: Main storage device 334: Auxiliary storage device 335: Input/output I/F 336: Bus 340: Display Unit 401: Processor 402: Communication I/F 403: Main storage device 404: Auxiliary storage device 405: Input/output I/F 406: Bus 1401: Teacher data 1402: Trained model
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Abstract
Description
実施例1の医用装置102は、機能推奨システム1を有する。施設101には、1又は複数の医用装置102が設置されている。医用装置102は、ネットワークを介してクラウド107に通信可能に接続されている。クラウド107は、他の施設110に設置される1又は複数の医用装置ともネットワークを介して通信可能に接続されている。
医用装置102は、検体を分析する分析装置、及び、検体の前処理や後処理を行う処理装置等の医用装置である。医用装置102は、医用装置であれば、分析装置や処理装置に限定されない。つまり、本発明の医用装置は、ヒトや動物の診断、治療、又は予防を目的とする装置である。例えば、医用装置102は、X線CT(computed tomography)、MRI(magnetic resonance imaging)、ペースメーカ、人工透析装置、内視鏡等の様々な装置を含む。
クラウド107は、クラウド107に接続されている他の施設110の医用装置の稼働情報108や機能情報109を収集して、記憶する。他の施設110の医用装置は、クラウド107からの要求に従って、稼働情報108や機能情報109をクラウド107に送信しても良いし、自発的に、稼働情報108や機能情報109をクラウド107に送信しても良い。また、施設101の医用装置102をクラウド107と通信可能に接続することによって、医用装置102は、ユーザに推奨する機能として、医用装置102が持っていないがクラウド107が持っている新規の機能情報を、ネットワークを介して外部装置であるクラウド107から取得することができる。そして、医用装置102は、クラウド107から取得した新規の機能を検査技師などに推奨することができる。また、医用装置102は、クラウド107から配信される配信情報を使って、機能情報記録部104が記録する機能情報をアップデートしたり、新規機能を追加したりすることができる。
図5及び図6を用いて、医用装置102が有する複数の機能の中からユーザに推奨する機能を提示する方法について説明する。図5は、推奨する機能を算出するための条件を設定する設定画面等である。図6は、推奨機能演算部が実行する処理フローである。
実施例1の医用装置102は、医用装置102の使用状況のレビューをユーザに提示することができる。また、実施例1の医用装置102は、推奨した機能の適用前後のレビューの差異を提示することもできる。これにより、ユーザは、提示されたレビューを確認して、推奨された機能を医用装置102に適用するか否かを検討することができる。
各項目に関する説明や、値の計算方法については、レーダーチャートの各項目名を選択することでポップアップとして表示することも可能とする。
図10は、推奨機能演算部によって推奨された機能を適用した場合における使用状況のレビューを示す画面等である。図10(a)は、推奨された機能を適用した場合における使用状況の予測レビューを示す予測レビュー画面であり、図10(b)は、推奨された機能の利用条件に合致した稼働情報を示す画面であり、図10(c)は、推奨された機能のマニュアルを示す図である。
図11は、類似施設演算部によって算出された他の施設の使用状況のレビューを示す画面等である。図11(a)は、他の施設における使用状況のレビューを示すレビュー画面1101であり、図11(b)は、他の施設と医用装置102との設定を確認する確認画面1106である。
図13は、実施例2の推奨機能演算部が実行する処理フローである。実施例2の推奨機能演算部111は、総合的な評価が向上する場合に推奨機能を出力する。推奨機能演算部111及び評価演算部112以外の構成は、実施例1と同様であるので、その説明を割愛する。
実施例1及び実施例2の推奨機能演算部111は、独自のアルゴリズムを実装したソフトウェアモジュールであったが、実装されるアルゴリズムはAIであっても良い。実施例3の推奨機能演算部111は、ニューラルネットワークによる学習済みモデルであって、この学習済みモデルが推奨する機能を出力する。
実施例1では、医用装置102が演算部105を有していたが、演算部105は医用装置102に無くても良い。実施例4では、図1Bに示すように、施設101に設置されるサーバ106が、推奨機能演算部111、評価演算部112及び類似施設演算部113を有する演算部105を有する。そして、サーバ106の表示制御部114が、サーバ106に接続される表示部又は医用装置102の表示部に各種画面を表示する。つまり、実施例4では、オンプレミスのサーバ106が演算部105及び表示制御部114を有する。
実施例4は、オンプレミスのサーバ106が演算部105を有していたが、演算部105をクラウド107に搭載しても良い。図1Cに示すように、施設101には、演算部105が搭載されておらず、クラウド107が演算部105を有している。また、クラウド107は、医用装置102から受信した稼働情報201を受信して記録する稼働情報記録部103、及び、医用装置102から受信した機能情報203及び203を受信して記録する機能情報記録部104を有する。そして、クラウド107の表示制御部114が、クラウド107に接続される表示部又は医用装置102の表示部に各種画面を表示する。
101:施設
102:医用装置
103:稼働情報記録部
104:機能情報記録部
105:演算部
107:クラウド
108:稼働情報
109:機能情報
110:他の施設
111:推奨機能演算部
112:評価演算部
113:類似施設演算部
114:表示制御部
201:稼働情報
202:機能情報
203:機能情報
310:搬送部
320:処理部
330:制御部
331:プロセッサ
332:通信I/F
333:主記憶装置
334:補助記憶装置
335:入出力I/F
336:バス
340:表示部
401:プロセッサ
402:通信I/F
403:主記憶装置
404:補助記憶装置
405:入出力I/F
406:バス
1401:教師データ
1402:学習済みモデル
Claims (15)
- 医用装置で実行可能な機能をユーザに推奨する機能推奨システムであって、
前記医用装置の稼働状況を示す稼働情報を記憶する稼働情報記録部と、
前記医用装置で実行される機能を推奨するための利用条件を含む機能情報を記憶する機能情報記録部と、
前記稼働情報と前記利用条件とに基づいて、前記利用条件に対応する機能を推奨機能として出力する推奨機能演算部と、を備えることを特徴とする機能推奨システム。 - 請求項1において、
推奨機能演算部によって出力された前記推奨機能を表示部に表示させる表示制御部をさらに備える、ことを特徴とする機能推奨システム。 - 請求項1において、
前記推奨機能演算部によって出力された前記推奨機能が、自動的に前記医用装置に適用される、ことを特徴とする機能推奨システム。 - 請求項1において、
前記稼働情報は、前記医用装置が使用した消耗品の使用履歴、前記医用装置で行う検査の依頼内容を示す検査依頼情報、前記医用装置で行った検査の検査結果、前記医用装置で行った検査に要したターンアラウンドタイム、前記医用装置の操作履歴、前記医用装置で発生したイベント履歴、前記医用装置で発生したアラーム履歴、前記医用装置のシステム設定情報、前記医用装置の稼働時間、前記医用装置の部品の交換時期及び使用時間、並びに、前記医用装置で消費した水量及び電気量、の少なくとも1つの情報を含む、ことを特徴とする機能推奨システム。 - 請求項1において、
機能と前記機能を推奨するための利用条件に対応する新規の機能情報を、ネットワークを介して、外部装置から取得する、ことを特徴とする機能推奨システム。 - 請求項1において、
前記稼働情報に基づいて、前記医用装置の使用状況をグラフィカルな情報として出力する評価演算部をさらに備える、ことを特徴とする機能推奨システム。 - 請求項1において、
前記推奨機能を前記医用装置に適用した場合に得られる効果を、グラフィカルな情報として出力する評価演算部をさらに備える、ことを特徴とする機能推奨システム。 - 請求項7において、
前記評価演算部は、前記推奨機能を前記医用装置に適用した場合に得られる効果を、前記推奨機能を適用していなかった前記医用装置の使用状況の評価と比較して出力する、ことを特徴とする機能推奨システム。 - 請求項7において、
前記評価演算部は、指定された測定範囲の前記稼働情報を用いて、前記測定範囲における前記推奨機能を前記医用装置に適用した場合に得られる効果を、前記推奨機能を適用していなかった前記測定範囲における前記医用装置の使用状況の評価と比較して出力する、ことを特徴とする機能推奨システム。 - 請求項6において、
前記評価演算部は、前記推奨機能を適用した前記医用装置における評価を複数の項目毎に出力し、前記推奨機能演算部は、前記複数の評価に基づいて自動的に前記推奨機能を前記医用装置に設定する、ことを特徴とする機能推奨システム。 - 請求項6において、
前記評価演算部は、前記稼働情報に基づいて、前記医用装置の使用状況の詳細を、検査数、緊急検査数、検査項目数、平均稼働時間、平均TAT(ターンアラウンドタイム)、平均オペレーションタイム、最大メンテ超過日数、及び、平均消費水量の少なくとも1つの項目を含むレポートを出力する、ことを特徴とする機能推奨システム。 - 請求項6において、
前記評価演算部は、前記稼働情報に基づいて、前記医用装置の使用状況の評価を、稼働率、操作効率、正常運用度、環境効率、TAT(ターンアラウンドタイム)効率の少なくとも1つの項目を含む評価を出力する、ことを特徴とする機能推奨システム。 - 請求項1において、
前記医用装置と同じ種類の医用装置の使用状況をグラフィカルな情報として出力する類似施設演算部をさらに備える、ことを特徴とする機能推奨システム。 - 医用装置で実行可能な機能をユーザに推奨する機能推奨システムであって、
前記医用装置の稼働状況を示す稼働情報を記憶する稼働情報記録部と、
少なくとも前記稼働情報、使用した機能、及び前記稼働情報に基づいて出力される前記医用装置の使用状況の評価を教師データとして構築された学習済みモデルであって、前記稼働情報に基づいて推奨機能を出力する学習済みモデルと、を備えることを特徴とする機能推奨システム。 - 医用装置で実行可能な機能をユーザに推奨する機能推奨方法あって、
前記医用装置の使用状況を示す稼働情報を記憶するステップ、
前記医用装置で実行される機能を推奨するための利用条件を含む機能情報を記憶するステップ、及び、
前記稼働情報と前記利用条件とに基づいて、前記利用条件に対応する機能を推奨機能として出力するステップ、を有することを特徴とする機能推奨方法。
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JP2012032883A (ja) * | 2010-07-28 | 2012-02-16 | Kyocera Mita Corp | ガイダンス提供装置および電子機器 |
JP2013042903A (ja) * | 2011-08-24 | 2013-03-04 | Ge Medical Systems Global Technology Co Llc | 画像診断装置 |
JP2014164599A (ja) * | 2013-02-26 | 2014-09-08 | Nec Saitama Ltd | 情報機器、その制御方法及びプログラム |
JP2019045446A (ja) | 2017-09-07 | 2019-03-22 | 株式会社日立ハイテクノロジーズ | 自動分析装置 |
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US20210182087A1 (en) * | 2019-12-16 | 2021-06-17 | Samsung Electronics Co., Ltd. | Electronic device for supporting customized manual |
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JP2010529427A (ja) * | 2007-06-01 | 2010-08-26 | パワーカッフ、エルエルシー | 電力消費を監視する方法及び装置 |
JP2012032883A (ja) * | 2010-07-28 | 2012-02-16 | Kyocera Mita Corp | ガイダンス提供装置および電子機器 |
JP2013042903A (ja) * | 2011-08-24 | 2013-03-04 | Ge Medical Systems Global Technology Co Llc | 画像診断装置 |
JP2014164599A (ja) * | 2013-02-26 | 2014-09-08 | Nec Saitama Ltd | 情報機器、その制御方法及びプログラム |
JP2019045446A (ja) | 2017-09-07 | 2019-03-22 | 株式会社日立ハイテクノロジーズ | 自動分析装置 |
KR20200094829A (ko) * | 2019-01-22 | 2020-08-10 | 삼성전자주식회사 | 전자 장치에서 어플리케이션 목록 제공 방법 및 장치 |
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