Feature recommendation system and feature recommendation method

Abstract

In the present invention, a useful function suitable for the usage status of a medical device is recommended without burdening a user with advanced and complicated work for effectively using various functions installed in the medical device. This function recommendation system, which recommends functions that can be executed by a medical device 102 to a user, comprises an operation information recording unit 103 that stores operation information indicating the usage status of a medical device 102, a function information recording unit 104 that stores function information including usage conditions for recommending functions to be executed by the medical device 102, and a recommended function calculation unit 111 that outputs functions corresponding to the usage conditions as recommended functions on the basis of the operation information and the usage conditions.

Description

[Technical Field]

[0001] The present invention relates to a function recommendation system and a function recommendation method for recommending functions executable on a medical device to a user. [Background technology]

[0002] As medical devices, such as analyzers that perform qualitative and quantitative analysis of biological samples such as blood and urine, become more sophisticated, they are now equipped with a variety of functions. For example, Patent Document 1 discloses an analyzer that has a function for displaying the recommended time period for reagent replacement on a display unit. The analyzer of Patent Document 1 is an automatic analyzer that performs sample testing using multiple reagents and has a recording unit that stores past measurement history. The analyzer of Patent Document 1 predicts the usage status for the day based on the past measurement history, and displays the recommended time period for reagent replacement based on the predicted usage status for the day and the remaining amounts of multiple reagents. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2019-45446 Summary of the Invention [Problem to be solved by the invention]

[0004] Typically, medical technicians who use medical equipment such as analytical instruments in hospitals and specialized testing institutions often lack experience using medical equipment during the qualification process and only use the equipment once assigned to their work. As a result, new technicians often lack a detailed understanding of the medical equipment's operation methods or the functions that are effective in their facility's usage situation. It is possible to gather information from medical equipment operation manuals, training sessions, user meetings, etc. However, operation manuals are often voluminous, and gathering information from these manuals takes time and effort. Furthermore, training sessions and user meetings often require geographical or time constraints to attend, making it difficult to attend. Furthermore, even when new features are released, users often continue to use the existing methods, which can prevent them from effectively using the new features.

[0005] The present invention provides a technology for recommending useful functions suited to the usage situation of a medical device without burdening the user with the sophisticated and complex work of effectively using the various functions installed in the medical device. [Means for solving the problem]

[0006] The present invention is a function recommendation system that recommends functions that can be executed by a medical device to a user, and includes an operation information recording unit that stores operation information that indicates the operating status of the medical device, a function information recording unit that stores function information that includes usage conditions for recommending functions to be executed by the medical device, and a recommended function calculation unit that outputs functions that correspond to the usage conditions as recommended functions based on the operation information and the usage conditions. [Effects of the Invention]

[0007] According to the present invention, it is possible to recommend useful functions that are suitable for the usage situation of a medical device without burdening the user with the advanced and complex task of effectively using the various functions installed in the medical device. [Brief explanation of the drawings]

[0008] [Figure 1A]1 is a diagram illustrating an overall configuration of a function recommendation system according to a first embodiment. [Figure 1B] FIG. 10 is a diagram illustrating the overall configuration of a function recommendation system according to a fourth embodiment. [Figure 1C] FIG. 10 is a diagram illustrating the overall configuration of a function recommendation system according to a fifth embodiment. [Figure 2] FIG. 10 is a diagram illustrating operation information and function information. [Figure 3] FIG. 2 is a block diagram showing the hardware configuration of the medical device. [Figure 4] FIG. 2 is a block diagram showing a hardware configuration of a cloud. [Figure 5] This is a setting screen for setting conditions for calculating recommended functions. [Figure 6] 10 is a flow chart showing a process executed by a recommended function calculation unit. [Figure 7] This is a setting screen for setting conditions for calculating a review of the usage status of a medical device. [Figure 8] This is a screen showing a review of the usage status of a medical device. [Figure 9] 10 is a process flow executed by an evaluation calculation unit. [Figure 10] 10 shows a screen showing a predicted review of the usage status of a medical device to which a recommended function has been applied. [Figure 11] This is a screen that shows a review of the usage status of medical devices at other facilities. [Figure 12] 10 is a processing flow executed by a similar facility calculation unit. [Figure 13] 10 is a process flow executed by a recommended function calculation unit according to the second embodiment. [Figure 14] FIG. 10 is a diagram illustrating the construction of a trained model that outputs a recommended function in the third embodiment. [Figure 15] 10 shows the construction flow of a trained model in Example 3. [Figure 16] FIG. 10 is a diagram showing a trained model that outputs a recommended function in the third embodiment. [Figure 17] This is a processing flow for outputting functions recommended by the trained model in the third embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] The embodiments of the present invention will be described in detail with reference to the drawings. In the following embodiments, it goes without saying that the components (including element steps, etc.) are not necessarily essential unless otherwise specified or considered to be obviously essential in principle.

[0010] Example 1 A medical device 102 of Example 1 has a function recommendation system 1. One or more medical devices 102 are installed in a facility 101. The medical devices 102 are communicably connected to a cloud 107 via a network. The cloud 107 is also communicably connected to one or more medical devices installed in another facility 110 via the network.

[0011] (Medical equipment) The medical device 102 is a medical device such as an analyzer that analyzes a sample, or a processing device that performs pre-processing or post-processing of the sample. The medical device 102 is not limited to an analyzer or a processing device, as long as it is a medical device. In other words, the medical device of the present invention is a device intended for the diagnosis, treatment, or prevention of humans or animals. For example, the medical device 102 includes various devices such as an X-ray CT (computed tomography), MRI (magnetic resonance imaging), a pacemaker, an artificial dialysis machine, and an endoscope.

[0012] The function recommendation system 1 for the medical device 102 includes an operation information recording unit 103, a function information recording unit 104, a calculation unit 105, and a display control unit 114. The operation information recording unit 103 records operation information indicating the operation status of the medical device 102. Specifically, the operation information recording unit 103 records operation information 201 such as a usage history of consumables (such as reagents) used by the medical device 102, examination request information indicating requested examinations to be performed by the medical device 102, examination results of examinations performed by the medical device 102, turnaround times required for examinations performed by the medical device 102, an operation history of the medical device 102, a history of events that occurred in the medical device 102, a history of alarms that occurred in the medical device 102, system setting information for the medical device 102, the operation time of the medical device 102, replacement times and usage times of parts of the medical device 102, and the amounts of water and electricity consumed by the medical device 102.

[0013] FIG. 2 is a diagram showing operation information of a medical device. FIG. 2(a) shows operation information of the medical device 102 recorded by the operation information recording unit 103. FIG. 2(a) shows only the operation history of the medical device 102 from the operation information 201. The operation history of the medical device 102 includes the time of operation, the content of the operation history, and the state of the medical device 102, and is stored in chronological order for each operating day. FIGS. 2(b) and 2(c) are diagrams showing function information 202 and 203 stored by the function information recording unit 104. The function information 202 and 203 are information about functions for improving the efficiency of use of the medical device 102. Each of the function information 202 and 203 includes a function name, operation information, usage conditions, and effects. The function name indicates the name of the function. The operation information indicates the type of operation information required to recommend a function, and the usage conditions are the conditions for recommending a function. The usage conditions are conditions for the type of operation information indicated by the operation information (operation history in FIG. 2(b), and event history and inspection request information in FIG. 2(c)).

[0014] 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, when the device status in the operation history transitions from "preparation" to "analysis" at least twice a day, the rack reception function is presented to the user as a recommended function. The effect of the rack reception function is to reduce the number of times an operation is started. Furthermore, function information 203 is information about the stop washing function, and is presented to the user as a recommended function when the event history and test request information satisfy the usage conditions. Specifically, when the event history changes from "reagent replacement" to "cleaning operation" and the test request information changes from test type "A" to "B," the stop washing function is presented to the user as a recommended function.

[0015] 1A, 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, as recommended functions, functions that will make the use of the medical device 102 more efficient, 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. This makes it possible to recommend to the user useful functions that are suited to the usage situation of the medical device 102, without burdening the user with the advanced and complicated work of effectively using the various functions installed in the medical device 102.

[0016] 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 a medical technician or the like to check the evaluation of the current usage status of the medical device 102. Furthermore, the evaluation calculation unit 112 calculates a predicted review of the usage status assuming that the recommended function is used based on the function recommended by the recommended function calculation unit 111 and the operation information recorded by the operation information recording unit 103. This allows a medical technician or the like to check the predicted evaluation of the usage status of the medical device 102 if the recommended function is used. The evaluation calculation unit 112 presents the calculated usage status review and predicted usage status review to the user in the form of graphs and numerical values.

[0017] The similar facility calculation unit 113 calculates usage reviews at similar facilities to make the usage reviews calculated by the evaluation calculation unit 112 easier to understand objectively. The similar facility calculation unit 113 compares the usage reviews calculated by the evaluation calculation unit 112 with usage reviews at other facilities and outputs the results. The similar facility calculation unit 113 may calculate usage reviews of medical devices at similar facilities, or may calculate usage reviews of similar facilities that combine multiple medical devices at other facilities. The similar facility calculation unit 113 may also independently calculate usage reviews at similar facilities without comparing the usage reviews with the usage reviews calculated by the evaluation calculation unit 112. The function recommendation system 1 including the similar facility calculation unit 113 allows medical technicians and others to check usage reviews of not only the medical device 102 but also other medical devices and similar facilities.

[0018] The display control unit 114 displays the results calculated by the calculation unit 105 on the display unit 340 of the medical device 102. A medical technician or the like can check the results displayed on the display unit 340 and decide whether to apply the recommended function to the medical device 102.

[0019] Next, the hardware configuration of the medical device 102 of Example 1 will be described. FIG. 3 is a diagram showing the hardware configuration of the medical device of Example 1. The medical device 102 of Example 1 includes a transport unit 310, a processing unit 320, a control unit 330, and a display unit 340. The transport unit 310 has a function of transporting specimens such as blood, cerebrospinal fluid, and urine, and reagents, to a predetermined position. The processing unit 320 collects and dispenses the specimens transported by the transport unit 310 into reaction vessels. The processing unit 320 also collects and dispenses the reagents transported by the transport unit 310 into reaction vessels. The processing unit 320 also stirs the specimens and reagents in the reaction vessels and irradiates the stirred reaction solution in the reaction vessels with light. The light emitted from the reaction solution 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 accepts operations by a medical technician, and displays the results calculated by the calculation unit 105.

[0020] The control unit 330 has a processor 331, a communication interface 332 (hereinafter, interface will be abbreviated as I / F), a main memory device 333, an auxiliary memory device 334, an input / output I / F 335, and a bus 336 that communicatively connects the above-mentioned modules. A display unit 340 is connected to the input / output I / F 335.

[0021] 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 central processing unit (CPU), a digital signal processor (DSP), or an application specific integrated circuit (ASIC). The processor 331 deploys programs stored in the auxiliary storage device 334 in an executable manner in a working area of ​​the main storage device 333. The main storage device 333 stores programs executed by the processor 331, data processed by the processor, etc. The main storage device 333 is, for example, a flash memory, a random access memory (RAM), or a read only memory (ROM). The auxiliary storage device 334 stores various programs and various data. The auxiliary storage device 334 stores, for example, an operating system (OS), various programs, various tables, etc. The auxiliary storage device 334 is a silicon disk including a nonvolatile semiconductor memory (flash memory, EPROM (Erasable Programmable ROM)), a solid state drive device, a hard disk drive (HDD), or the like.

[0022] The communication I / F 332 is an interface for communicatively connecting the medical device 102 to the cloud 107 via a network. The input / output I / F 335 accepts operation instructions and the like from a user who operates an input device connected to the input / output I / F 335. Examples of the input device include a keyboard, a touch panel, a mouse, and a microphone. The input / output I / F 335 can also be connected to an output device such as a display unit 340, such as an LCD, an EL (Electroluminescence) panel, or an organic EL panel, 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 memory device 333 or the auxiliary memory device 334 to the output device.

[0023] The control unit 330, which is equipped with a processor 331 and a main memory device 333, executes a program to function as the operation information recording unit 103, the function information recording unit 104, the calculation unit 105, and the display control unit 114 described above. 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 in the first embodiment are software modules, but may be configured as hardware modules such as ASICs. Furthermore, some 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 may be software modules, and the remaining parts may be hardware modules.

[0024] (Cloud) The cloud 107 collects and stores operation information 108 and function information 109 of medical devices in other facilities 110 connected to the cloud 107. The medical devices in other facilities 110 may transmit the operation information 108 and function information 109 to the cloud 107 in response to a request from the cloud 107, or may transmit the operation information 108 and function information 109 to the cloud 107 on their own initiative. Furthermore, by communicatively connecting the medical device 102 in the facility 101 to the cloud 107, the medical device 102 can acquire new function information that the medical device 102 does not have but that the cloud 107 has, from the cloud 107, an external device, via the network, as functions to recommend to users. The medical device 102 can then recommend the new functions acquired from the cloud 107 to technicians, etc. Furthermore, the medical device 102 can update the function information recorded in the function information recording unit 104 or add new functions using the distribution information distributed from the cloud 107.

[0025] 4, the cloud 107 includes a processor 401, a communication I / F 402, a main memory device 403, an auxiliary memory device 404, an input / output I / F 405, and a bus 406 that communicatively connects the above-mentioned modules. The cloud 107 may be a single computer such as a server, or may be a combination of multiple computers such as servers.

[0026] 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), or an ASIC (Application Specific Integrated Circuit). The processor 401 deploys programs stored in the auxiliary storage device 404 in an executable manner in a working area of ​​the main storage device 403. The main storage device 403 stores programs executed by the processor 401, data processed by the processor, etc. The main storage device 403 is, for example, a flash memory, a RAM (Random Access Memory), or a ROM (Read Only Memory). The 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, etc. The auxiliary storage device 404 is a silicon disk including a nonvolatile semiconductor memory (flash memory, EPROM (Erasable Programmable ROM)), a solid state drive device, a hard disk drive (HDD), or the like.

[0027] The communication I / F 402 is an interface for communicatively 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 accepts 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. Examples of the input device include a keyboard, a touch panel, a mouse, and a microphone. The input / output I / F 405 can also be connected to display devices such as LCDs, EL (Electroluminescence) panels, and organic EL panels, as well as 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 the output device.

[0028] (How recommended features are calculated) A method for presenting recommended functions to a user from among a plurality of functions possessed by the medical device 102 will be described using Figures 5 and 6. Figure 5 shows a setting screen for setting conditions for calculating recommended functions, and Figure 6 shows a processing flow executed by the recommended function calculation unit.

[0029] As shown in Fig. 5(a), the user can set in advance the conditions for calculating the recommended functions via the input / output device of the medical device 102. The setting screen 501 shown in Fig. 5(a) has a check box 511 for setting whether or not to automatically apply the recommended functions, a pull-down menu 512 for setting the timing for calculating the recommended functions, and a pull-down menu 513 for setting the range of the operation information 201. For example, if "beginning of each month" is set in the pull-down menu 512 and "monthly" is set in the pull-down menu 513, the recommended functions can be automatically calculated at the beginning of each month based on the operation information 201 for the previous month.

[0030] The setting screen 501 also has a check box 514 for setting whether to enable a function that notifies the user that a recommended function will be applied, and a check box 515 for setting whether to refer to function information on the cloud 107. The setting screen 501 also has a cancel button 516 for canceling the reflection of the range setting on the setting screen 501, and an OK button 517 for confirming the range setting on the setting screen 501.

[0031] 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. As shown in FIG. 5(b), the user can set the range of the operation information 201 in detail. The setting screen 502 shown in FIG. 5(b) has an input box 521 for setting the start date of the range of the operation information 201 for recommending functions, and an input box 522 for setting the end date of the range of the operation information 201. The setting screen 502 also has a cancel button 523 for canceling the setting of the range of the operation information 201, and a run button 524 for confirming the setting of the range of the operation information 201. The processing flow of FIG. 6 starts in response to the selection of the run button 524 in FIG. 5(b).

[0032] As shown in FIG. 5(c), one or more recommended functions calculated by the recommended function calculation unit 111 are displayed on a list screen 503. The list screen 503 has check boxes 531, 532, and 533 provided for each recommended function. When any or all of the check boxes 531 to 533 are checked and "Apply selected functions" 534 on the list screen 503 is selected, the checked functions are applied to the medical device 102. Note that, when the check box 511 is checked, the recommended functions are automatically applied to the medical device 102 without selecting "Apply selected functions" 534. Note that the list screen 503 has a link 535 for checking details of the recommended functions.

[0033] Next, a processing flow executed by the recommended function calculation unit 111 will be described with reference to Fig. 6. This processing flow shows a function recommendation method. The user can select whether to verify only specific functions or to verify all functions. When verifying only specific functions, it is possible to calculate in a short time whether a specific function should be recommended.

[0034] The recommended function calculation unit 111 checks 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 a specific function (S603). Furthermore, if the medical device 102 is connected to the cloud 107, the recommended function calculation unit 111 can also refer to the usage conditions of the function information of new functions that are not stored in the medical device 102 from the cloud 107.

[0035] The recommended function calculation unit 111 compares 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. 5(b), or can be set for a regular period on the screen of Fig. 5(a).

[0036] If there is operation information 201 that matches the referenced usage conditions (S604: Yes), the recommended function calculation unit 111 outputs the functions corresponding to the usage conditions that match the operation information 201 as recommended functions (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 are no usage conditions that match the operation information 201 (S604: No), the processing ends.

[0037] The processing flow in Fig. 6 may be started by a user instruction or at a timing selected from the pull-down menu 512 in Fig. 5(a). Selecting a regular timing from the pull-down menu 512 makes it possible to automatically calculate recommended functions periodically. Furthermore, when a new function is added to the medical device 102, it may be calculated based on the operation information 201 whether the environment allows the new function to be recommended, and the recommended new function may be automatically or manually applied to the medical device 102.

[0038] Next, with reference to the processing flow of Figure 6, we will explain in detail the cases in which the rack reception function is recommended. First, we will explain the rack reception function. The rack reception function has parameters, such as a threshold time that can be set arbitrarily and whether the function is enabled or disabled. If the time that the medical device 102 continues in standby mode is within the set threshold time, it can be prohibited from switching from standby mode to hibernation mode. If the medical device 102 continues in standby mode for a predetermined time, it automatically switches to hibernation mode to reduce energy consumption. After switching to hibernation mode, when a sample is introduced, the medical device 102 starts operation and performs preparatory operations. Therefore, the preparatory operations require additional time and effort before the sample can be measured.

[0039] When the rack reception function is enabled, the medical device 102 can be prevented from transitioning to a sleep state even if samples are added in succession within a set threshold time after transitioning to a standby state. This prevents the medical device 102 from having to perform preparatory operations every time a sample is added.

[0040] As shown in FIG. 2, function information 202 regarding 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.

[0041] In the processing flow of FIG. 6, 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 when S602 is No (S602, S603). The usage condition of the function information 202 is that "the device status in the operation history transitions from 'preparation' to 'analysis' at least twice a day." Next, the recommended function calculation unit 111 compares the usage conditions referred to in S602 or S603 with the operation information (here, the operation history (see FIG. 2(b))) recorded by the operation information recording unit 103 (S604). As shown in FIG. 2(a), in the operation history of the operation information 201, the status of the medical device 102 changes from preparation to analysis between 8:30 and 8:40 and between 13:20 and 13:30. Therefore, the operation information 201 matches the usage conditions of the rack reception function (S604). If the operation information 201 matches the usage conditions, using the rack reception function will improve the usage status of the medical device 102. Therefore, the recommended function calculation unit 111 outputs the rack reception function as a recommended function (S605).

[0042] Since the rack reception function has a threshold time as a parameter, when the rack reception function is recommended, the user may be prompted to set the threshold time.

[0043] In the first embodiment, functions other than the rack reception function can also be recommended. For example, the recommended function calculation unit 111 can recommend the stop-washing function shown in FIG. 2(c). The stop-washing function is a function that suppresses cell washing operations between specified test items. Normally, cell washing operations are performed between test items to prevent carryover. However, it is desirable to suppress cell washing operations and reduce the amount of water and detergent used, except in specific situations where carryover is likely to occur. Using the stop-washing function makes it possible to suppress cell washing operations between specified test items. The recommended function calculation unit 111 compares the event history and test request information in the operation information 201 with the usage conditions of the stop-washing function (S602, S603), and if they match (S604: Yes), outputs the stop-washing function as a recommended function (S605).

[0044] (Usage Review) The medical device 102 of the first embodiment can present a review of the usage status of the medical device 102 to the user. The medical device 102 of the first embodiment can also present a difference between the reviews before and after the application of a recommended function. This allows the user to check the presented review and consider whether or not to apply the recommended function to the medical device 102.

[0045] Fig. 7 shows a setting screen for setting conditions for calculating a review of the usage status of a medical device, Fig. 8 shows a screen for displaying a review of the usage status of a medical device, Fig. 9 shows a processing flow executed by the evaluation calculation unit.

[0046] As shown in Fig. 7(a), the user can set in advance the conditions for calculating the usage review via the input device of the medical device 102. The setting screen 701 shown in Fig. 7(a) has a check box 711 for setting whether or not to automatically calculate the usage review, a pull-down menu 712 for setting the timing for calculating the usage review, and a pull-down menu 713 for setting the range of the operation information 201. For example, if the pull-down menu 712 is set to "beginning of each month" and the pull-down menu 713 is set to "one month," the usage review can be automatically calculated at the beginning of each month based on the operation information 201 for the previous month.

[0047] The setting screen 701 also has an area 714 for setting report items to be displayed as a review of usage status, and an area 715 for setting evaluation items to be displayed as a review of usage status. The setting screen 701 also has a cancel button 716 for canceling the application of the range setting on the setting screen 701, and an OK button 717 for confirming the range setting on the setting screen 701.

[0048] A user can set the range of the operation information 201 used to calculate a usage review via an input / output device of the medical device 102. As shown in FIG. 7(b), the user can set the range of the operation information 201 in detail. A setting screen 702 shown in FIG. 7(b) has an input box 721 for setting the start date of the range of the operation information 201 used to calculate a usage review, and an input box 722 for setting the end date of the range of the operation information 201. The setting screen 702 also has a cancel button 723 for canceling the setting of the range of the operation information 201, and a run button 724 for confirming the setting of the range of the operation information 201. The processing flow of FIG. 9 is executed in accordance with the selection of the run button 724 in FIG. 7(b).

[0049] Figure 8(a) is a review screen showing a review of usage, Figure 8(b) is a list screen showing a list of recommended features, and Figure 8(c) is an other facility review screen showing a list of usage reviews of other facilities.

[0050] The evaluation calculation unit 112 calculates a review of the usage status of the medical device 102 based on the specified range of operation information 201. A review screen 801 in Fig. 8(a) has a period display area 802 that displays the specified range of operation information 201, a report 803 that shows the operation details of the medical device 102 for the set report items, and an evaluation 804 that displays the evaluation calculated by the evaluation calculation unit 112 based on the operation information 201 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.

[0051] When link 805 is selected, a list screen 807 in FIG. 8(b) is displayed, and when link 806 is selected, an other facility review screen 809 in FIG. 8(c) is displayed. A description of the parts of the list screen 807 that are common to the list screen 503 will be omitted. The list screen 807 has a link 808 for checking an evaluation when the recommended function is applied. It is also possible to apply a function selected on this list screen 807 to the medical device 102. When link 808 is selected, a prediction review screen 1001 in FIG. 10 is displayed. The prediction review screen 1001 in FIG. 10 will be described later. When link 805 is selected, the recommended function calculation unit 111 executes the processing flow in FIG. 6 to calculate recommended functions as shown in FIG. 8(b).

[0052] When link 806 is selected, the other facility review screen 809 shown in Figure 8(c) is displayed. This other facility review screen 809 displays a numerical evaluation of the usage status for each facility. In addition, by selecting link 810 on the other facility review screen 809, detailed evaluations of other facilities can be displayed.

[0053] The report 803 and evaluation 804 items on the review screen 801 in Fig. 8(a) are the items set in the areas 714 and 715 in Fig. 7(a), respectively. Note that the report 803 and evaluation 804 items are not limited to the items set in the areas 714 and 715, and may be default items.

[0054] The report 803 is constructed based on the operation information 201 recorded by the operation information recording unit 103. Each item in the report 803 will now be described. The number of tests indicates the number of specimens tested by the medical device 102 within the range of the operation information 201 (hereinafter referred to as the measurement range) set using the pull-down menu 713 or the setting screen 702. The number of urgent tests indicates the number of urgent specimens tested within the measurement range. The number of test items indicates the number of types of test items requested within the measurement range. The average TAT indicates the average turnaround time required for testing all specimens tested within the measurement range. The average operation time (OPS) indicates the average number of times per day the medical device 102 restarted for specimen testing and associated preparatory operations such as cell cleaning during the measurement range. The maximum number of days beyond maintenance indicates the number of days that the maintenance cycle for a component requiring periodic maintenance has been exceeded the most. The average water consumption indicates the average amount of water consumed per specimen test.

[0055] The items in the report 803 are merely an example of a summary report, and there is a possibility that items may be changed or added as the software is updated in the future. For example, if the user requests it, it is possible to add items such as the amount of power used by the medical device 102 from the operation information, the number of alerts, and the downtime of the medical device 102.

[0056] The evaluation 804 in FIG. 8 is a graphical radar chart calculated based on the operation information 201 recorded by the operation information recording unit 103. The radar chart includes an evaluation value for each item and a total value of the evaluation values. While it is possible to display the evaluation 804 only numerically, using a graphical radar chart makes it easier for the user to intuitively understand the usage status of the medical device. The radar chart includes, for example, five items: availability rate, TAT efficiency, environmental efficiency, normal operation level, and operational efficiency. Each item has a maximum score of 20 points and a minimum score of 0 points, with a maximum total score of 100 points. To adjust the total score to 100 points, the maximum score for each item fluctuates internally depending on the number of items. If an item is greater than the maximum score or less than 0 points, it is rounded down. The value of each item is calculated, for example, as follows:

[0057] The availability rate indicates the percentage of time during the measurement range that the medical device 102 is operating for sample analysis. One example of a calculation method is to divide the operating time for analysis on each measurement day by the recommended daily analysis time. Here, the recommended daily analysis time is set as a fixed value that is a guideline for the amount of time the medical device 102 operates for analysis per day. For example, if the operating information indicates that the average daily usage time is six hours and the recommended analysis time is seven hours, the score for this item can be calculated as 20 × 6 / 7 = 17 points (rounded down to the nearest whole number). If the recommended analysis time is seven hours and any score exceeding 20 points is rounded down, the score may be a maximum of 20 points, assuming a 24-hour recommended analysis time.

[0058] TAT efficiency indicates the efficiency of the TAT (turnaround time) required for testing. The TAT required for testing is assumed to be the time from when a sample is introduced into the medical device 102 until the test results are output. The test TAT may also be defined as the time from when blood is drawn from a patient until the test results are reported to the patient. An example of a calculation method is to calculate it based on the value obtained by subtracting the minimum TAT from the average TAT, divided by the value obtained by subtracting the minimum TAT from the maximum allowable TAT. Here, the average TAT is the average value of the test turnaround time for one or more samples analyzed within a measurement period. The minimum TAT is set as a fixed value, which is the minimum time required for sample testing, and the maximum allowable TAT is set as a fixed value, which is the maximum time that can be spent on sample testing. For example, if the operation information indicates that the average TAT is 15 minutes, and the minimum TAT is 10 minutes and the maximum allowable TAT is 30 minutes, the score for this item can be calculated as 20 x (1 - (15 - 10) / (30 - 10)) = 15 points.

[0059] Operational efficiency is an index of how efficiently equipment can be used with fewer operations. One way to calculate it is to subtract 1 from the average OPS (number of operation starts) and divide the result by subtracting 1 from the maximum OPS. Here, average OPS is the average number of operation starts per day during the measurement period. Maximum OPS is set as a unique value for the number of operation starts that are allowable per day. For example, if the operation information shows that the average OPS is 3, and the maximum OPS is assumed to be 5, the score for this item can be calculated as 20 x (1 - (3 - 1) / (5 - 1)) = 10 points (decimals are discarded).

[0060] The normal operation level is an index of whether equipment maintenance is being carried out properly. One way to calculate this is to subtract the number of days the equipment has been used beyond the maintenance interval from the maintenance interval, and then divide the result by the maintenance interval. For example, if there are parts A and B with a maintenance interval of one month, and A's maintenance interval is one day longer than the interval, and B's is two days longer than the interval, the score for this item can be calculated as 20 x (30 - 1) / 30 x (1 / 2) + 20 x (30 - 2) / 30 x (1 / 2) = 19 points.

[0061] Eco-efficiency indicates the resources consumed and the efficiency with which testing was possible. One method of calculation is to subtract the minimum amount of water consumed for testing one sample from the average amount of water consumed per sample during the measurement period, and then divide this by the value obtained by subtracting the minimum amount of water consumed for one sample from the maximum allowable amount of water consumed for one sample. Here, the minimum and maximum allowable amounts of water consumed for one sample are set as unique values. For example, if the average amount of water consumed is 10 ml, and the minimum and maximum allowable amounts are assumed to be 5 ml and 30 ml, respectively, the score for this item can be calculated as 20 x (1 - (10-5) / (30-5)) = 16 points. Explanations of each item and how values ​​are calculated can be displayed as a pop-up by selecting the name of each item on the radar chart.

[0062] The evaluation values ​​calculated for each item are displayed as individual values ​​on the radar chart of evaluation 804. The total of each value is displayed as a numerical value at the center of the radar chart. For example, the total of the points explained above, 77 (= 17 + 15 + 10 + 19 + 16), is displayed at the center of the radar chart.

[0063] The above-described items for evaluation 804 and their calculation methods are merely examples, and items may be changed or added with future software updates. For example, if the user requests it, it is possible to add cost-effective items calculated based on the operating costs of the medical device 102 and the profits obtained from the examination. Furthermore, the eco-efficiency items are not limited to water volume, and can also be calculated by replacing them with power consumption.

[0064] Next, the processing flow executed by the evaluation calculation unit 112 will be described with reference to FIG. 9. The processing flow of FIG. 9 starts in response to selection of the Run button 724 in FIG. 7(b). The evaluation calculation unit 112 references the operation information 201 stored by the operation information recording unit 103 and extracts operation information within the measurement range (S901). Next, the evaluation calculation unit 112 classifies and aggregates the extracted operation information into each item of a report 803 (S902). The evaluation calculation unit 112 outputs the aggregated results as a report 803 (S903). Next, the evaluation calculation unit 112 calculates an evaluation value for each item from the operation information 201 using the above-described 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 a radar chart and numerical values, as in the evaluation 804 (S906). By visualizing a review of the usage status of the medical device 102, the evaluation calculation unit 112 can support consideration of revising the operation method of the medical device 102 and adopting the functions that the medical device 102 has.

[0065] (Predictive review of usage when recommended features are applied) Fig. 10 shows screens showing a review of usage when a function recommended by the recommended function calculation unit is applied, etc. Fig. 10(a) is a predictive review screen showing a predictive review of usage when the recommended function is applied, Fig. 10(b) is a screen showing operation information that meets the usage conditions of the recommended function, and Fig. 10(c) is a diagram showing a manual for the recommended function.

[0066] The evaluation calculation unit 112 calculates a predicted review of the usage status when the recommended function (function A in FIG. 10 ) is applied to the medical device 102 based on the specified range of operation information 201. The predicted review screen 1001 in FIG. 10( a) has a period display area 1002 that displays the specified range of operation information 201 and a report 1003 that shows the operation details of the medical device 102 for the set report items. The predicted 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. The description of the common parts of the period display area 1002, the report 1003, and the evaluation 1004 with the period display area 802, the report 803, and the evaluation 804 will be omitted as appropriate. By specifying the range of the operation information 201, for example, by specifying the most recent operation information, it is possible to check the effect of applying the recommended function to the most recent operation status.

[0067] Compared to report 803 in FIG. 8, report 1003 highlights the values ​​where the effect was observed when function A was applied by highlighting the items and values ​​where the effect was observed. Evaluation 1004 displays a radar chart of the changed items superimposed on the radar chart in FIG. 8 so that the user can recognize the values ​​of the evaluation items that changed when function A was applied, compared to evaluation 804 in FIG. 6. In radar chart 1010 in FIG. 10, the evaluation when function A was applied is indicated by a solid line, and the evaluation before function A was applied is indicated by a dotted line. Furthermore, the total evaluation value when function A was applied ("87" in FIG. 10) is also displayed. By comparing and displaying the two evaluations, the user can determine whether or not to apply the recommended function to the medical device 102.

[0068] The prediction review screen 1001 has a link 1005 for checking cases in which the recommended function is used, and a link 1006 for checking a manual that describes how to use the recommended function. When link 1005 is selected, a screen 1007 for checking one or more cases in which the recommended function is used is displayed. On screen 1007, the time and operation information 201 that meets the usage conditions of function A are displayed for each case. Furthermore, when link 1006 is selected, a manual 1008 that shows how to use the recommended function 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 a network.

[0069] Here, we will explain a predictive review of usage when the rack reception function is applied as function A. On review screen 801 before the rack reception function is applied, the average OPS item in report 803 was 3 times, and the operational efficiency item in evaluation 804 was 10 points. The total value of evaluation 804 was 77 points. When the rack reception function is applied to these results, the average OPS item in report 1003 on predictive review screen 1001 changes from 3 times to 1 time due to the effect of the rack reception function. Also, the operational efficiency item in evaluation 1004 becomes 20 × (1 - (1 - 1) / (5 - 1)) = 20 points. The total value of evaluation 1004 is 87 points.

[0070] (Review of other facility usage) 11A and 11B show screens and the like showing a review of the usage status of other facilities calculated by the similar facility calculation unit. Fig. 11A shows a review screen 1101 showing a review of the usage status of other facilities, and Fig. 11B shows a confirmation screen 1106 for confirming the settings of other facilities and the medical device 102.

[0071] The similar facility calculation unit 113 calculates a review of the usage status of medical equipment at other facilities based on the operation information 201 for a specified range. A review screen 1101 in FIG. 11(a) shows a review of the usage status of medical equipment at facility A. The review screen 1101 in FIG. 11(a) includes a period display area 1102 that displays the specified range of the operation information 201 and a report 1103 that shows the operation details of medical equipment at other facilities for the set report items. The review screen 1101 also includes 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 includes a link 1105 that allows the user to compare and confirm the settings of the medical equipment 102 calculated by the similar facility calculation unit 113 with those of the medical equipment at other facilities. The period display area 1102, report 1103, and evaluation 1104 are similar to the period display area 802, report 803, and evaluation 804 in FIG. 8(a), respectively, and therefore description thereof will be omitted.

[0072] When the link 1105 is selected, a confirmation screen 1106 shown in FIG. 11(b) is displayed. The confirmation screen 1106 displays a comparison of the function settings used by the medical device 102 and the medical device at facility A. Differences in the settings are highlighted with a mark 1107. The mark 1107 allows the user to easily identify the different settings. On the confirmation screen 1106, the user can select a desired function using a check box 1108, check the details of the selected function's settings, check a predicted review of the application of the selected function, or apply the selected function to medical devices at other facilities. The similar facility calculation unit 113 can output reviews of other facilities, allowing the user of the medical device 102 to select functions to apply or not apply to the medical device 102 based on the functions used by highly rated facilities.

[0073] When link 806 in FIG. 8(a) is selected, the similar facility calculation unit 113 executes the process flow in FIG. 12 to calculate reviews of medical equipment usage at 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 then checks the types of medical equipment at the other facilities and determines whether the same type of equipment as the medical device 102 is used (S1202). If there is no facility using the same type of equipment (S1202: No), there is no review to refer to, and the process flow in FIG. 12 ends. If there is a facility using the same type of equipment (S1202: Yes), the similar facility calculation unit 113 determines whether there is a facility in the operation information 108 whose input items (e.g., number of specimens, number of urgent specimens) are similar to those of the other facilities (S1203). If there are no similar facilities (S1203: No), there are no reviews available to refer to, and the processing flow of FIG. 12 is terminated. If there are similar facilities (S1203: Yes), the similar facility calculation unit 113 determines whether the output items (e.g., average operating time, average TAT of specimen testing) are superior to those of the medical device 102 (S1204). If there are no superior items (S1204: No), there are no reviews available to refer to, and the processing flow of FIG. 12 is terminated. If there are superior items (S1204: Yes), the similar facility calculation unit 113 outputs reviews of the usage status of similar facilities (S1205). Then, a review screen 1101 of the usage status of similar facilities is displayed on the display unit 340.

[0074] In some cases, multiple different types of medical devices are operating in a single facility. In such cases, the operating information and function information for each medical device differ, but the calculation unit 105 can evaluate the usage status of each medical device. The calculation unit 105 can also present recommended functions for each medical device individually.

[0075] Furthermore, when the medical devices are of the same type, it is possible to recommend functions that optimize the usage of the multiple medical devices by integrating the operation information of the multiple medical devices. For example, it is assumed that the average TAT of the operation information of the same type of medical devices is referenced and there is a large deviation in the average TAT of each medical device. In this case, the recommended function calculation unit 111 can recommend a function that instructs the user on how to allocate samples to the medical devices so that the average value of the entire multiple medical devices is reduced.

[0076] <Example 2> 13 shows a processing flow executed by the recommended function calculation unit of the second embodiment. The recommended function calculation unit 111 of the second embodiment outputs a recommended function when the overall evaluation improves. The configuration other than the recommended function calculation unit 111 and the evaluation calculation unit 112 is the same as that of the first embodiment, and therefore the description thereof will be omitted.

[0077] The recommended function calculation unit 111 of the second embodiment executes S1301 to S1304, similarly to S601 to S604 of the first embodiment. In the first embodiment, a function that matches the operation information and the usage conditions is recommended. However, in the second embodiment, before recommending a function, the evaluation calculation unit 112 calculates a review (evaluation 804) of the medical device 102 to which the function that matches the usage conditions is applied. When the function that matches the usage conditions is applied to the medical device 102, the evaluation of the items related to the function that matches the usage conditions may improve, but the evaluation of other items may decrease. Therefore, the evaluation calculation unit 112 of the second embodiment calculates the evaluation 804 of the medical device 102 to which the function that matches the usage conditions is applied (S1305). This enables the user to comprehensively evaluate the evaluation when the function that matches the usage conditions is applied to the medical device 102 and determine whether to apply the function that matches the usage conditions. In the second embodiment, a total value is calculated as an index when the function that meets the usage conditions is applied to the medical device 102 (S1305).

[0078] The evaluation calculation unit 112 of the second embodiment checks whether the total value of the evaluations 804 has increased compared to the total value of the evaluations 804 before the application of the functions that meet the usage conditions (S1306). If the total value has not increased (S1306: No), the processing flow of Fig. 13 is terminated. If the total value has increased (S1306: Yes), the recommended function calculation unit 111 outputs a list screen that recommends functions whose total value has increased, such as the list screen 807 of Fig. 8(b).

[0079] Next, a specific case in which the rack reception function is recommended will be described with reference to the processing flow of Fig. 13. In the processing flow of Fig. 13, 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 when it is No (S1302, S1303). The usage condition of the function information 202 is that "the device state in the operation history transitions from 'preparation' to 'analysis' at least twice a day." Next, the recommended function calculation unit 111 compares the usage conditions referred to in S1302 or S1303 with the operation information (here, the operation history (see Fig. 2(b))) recorded by the operation information recording unit 103 (S1304). As shown in FIG. 2(a), the operation history of the operation information 201 indicates that the state of the medical device 102 changed from preparation to analysis between 8:30 and 8:40 and between 13:20 and 13:30, so the operation information 201 meets the usage conditions for the rack reception function (S1304: Yes).

[0080] 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). Because 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 hypothetical average OPS when the number of operation starts that match the usage conditions is reduced from the operation history within the measurement range. Then, based on the calculated average OPS, the evaluation calculation unit 112 calculates the value of the operation efficiency of the evaluation item of the evaluation 804 and also calculates the total value. As a result, the evaluation calculation unit 112 checks whether the total value of the evaluation when the rack reception function is applied is higher than the total value of the evaluation before the rack reception function was applied (S1306).

[0081] If the total value does not increase (S1306: No), the processing flow in Fig. 13 ends. If the total value increases (S1306: Yes), the recommended function calculation unit 111 recommends the rack reception function (S1307). The recommended function calculation unit 111 may present the predicted review shown in Fig. 10 calculated by the evaluation calculation unit 112 along with the recommendation of the rack reception function.

[0082] In addition, in the second embodiment, a function is recommended when the total value of the evaluation has increased, but a function may be recommended when it is determined that the evaluation calculated by another method has improved. For example, a weight may be assigned to each evaluation item, and a total value may be calculated with items that the user considers important as priority items, and a function may be recommended based on that total value.

[0083] Example 3 The recommended function calculation unit 111 in the first and second embodiments is a software module that implements a unique algorithm, but the implemented algorithm may be an AI. The recommended function calculation unit 111 in the third embodiment is a trained model based on a neural network, and outputs functions recommended by this trained model.

[0084] FIG. 14 is a diagram illustrating the construction of a trained model using a neural network that outputs a recommended function. The trained model 1402 is based on 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 the information received by the intermediate layer is subjected to processing such as weighting and conversion. The intermediate layer then sends the processed information to the output layer, which further processes the information received from the intermediate layer, such as weighting and conversion, and outputs a solution as an inference result.

[0085] The trained model 1402 shown in FIG. 14 is obtained by repeatedly learning using training data 1401. The training data 1401 is past accumulated data of the facility and data of other facilities collected by the cloud 107. The data used to train the learning model is only data with evaluation values ​​calculated by the evaluation calculation unit 112 that exceed a preset threshold. Therefore, the accuracy of the trained model 1402 depends on the amount of training data 1401 used and the level of the evaluation value of each piece of data.

[0086] The training data 1401 is composed of data such as operation information, function-in-use information, and environmental information. The operation information is the same as the operation 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 training data 1401. The function-in-use information is the functions used at the time of evaluation and their setting information. The environmental information is information such as the type of device used at the time of evaluation, software version information, and function information 202 and 203 described in FIG. 2. The training data's operation information and environmental information are used as input, and the function-in-use information is provided as output, thereby repeatedly updating the learning model. Then, the training data from highly rated facilities is used to adjust the weighting in the intermediate layer and output layer, and a trained model 1402 is constructed.

[0087] FIG. 15 shows the construction flow of a learning model. This construction flow is the process performed after S906 in the process 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 (S1501). If the evaluation value is higher than the threshold (S1501: Yes), the evaluation calculation unit 112 creates training data (S1502). If the evaluation value is low (S1501: No), the construction flow of FIG. 15 ends. The threshold may be a value arbitrarily set by the user or may be a value in the top percentile stored in the system. The evaluation calculation unit 112 creates training data by collecting the operation information used for the evaluation, as well as the used function information and environmental information shown in FIG. 14 (S1502). Then, the evaluation calculation unit 112 updates the learning model using the training data (S1503). The construction flow of a learning model is automatically executed periodically in the background, not when the user explicitly executes an evaluation calculation. In addition, it is desirable that the training data and learning model be uploaded to the cloud 107 periodically after the learning model is created and updated.

[0088] 16 is a diagram showing a trained model that outputs a recommended function. Operation information and environmental information of a facility are input as input 1601, and a recommended function is output as output 1602.

[0089] FIG. 17 shows a processing flow for outputting functions recommended by a trained model. The processing flow in FIG. 17 is similar to the processing flow in FIG. 6. The difference is that in FIG. 6, in S602, the usage conditions for all functions are referenced from the function information to search for functions that will be recommended later. On the other hand, in FIG. 17, in S1701, functions recommended by the trained model are output. By using a trained model, it is possible to output, as recommended functions, functions that are suited to the usage status of the facility and are expected to improve evaluations.

[0090] Example 4 In the first embodiment, the medical device 102 has the calculation unit 105, but the calculation unit 105 does not have to be included in the medical device 102. In the fourth embodiment, as shown in FIG. 1B , a server 106 installed in a facility 101 has a calculation unit 105 having a recommended function calculation unit 111, an evaluation calculation unit 112, and a similar facility calculation unit 113. A display control unit 114 of the server 106 displays various screens on a display unit connected to the server 106 or on a display unit of the medical device 102. That is, in the fourth embodiment, the on-premise server 106 has the calculation unit 105 and the display control unit 114.

[0091] <Example 5> In the fourth embodiment, the on-premise server 106 has the computing unit 105, but the computing unit 105 may be mounted on the cloud 107. As shown in FIG. 1C , the facility 101 does not have the computing unit 105, and the cloud 107 has the computing unit 105. The cloud 107 also has an operation information recording unit 103 that receives and records operation information 201 received from the medical device 102, and a function information recording unit 104 that receives and records function information 203 and 203 received from the medical device 102. A display control unit 114 of the cloud 107 displays various screens on a display unit connected to the cloud 107 or the display unit of the medical device 102.

[0092] It should be noted that the present invention is not limited to the above-described embodiment, and includes various modifications. The above-described embodiment has been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to an embodiment having all of the described configurations.

[0093] It is also possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment, or to add, delete, or replace part of the configuration of each embodiment with the configuration of another embodiment. [Explanation of symbols]

[0094] 1: Feature recommendation system 101: Facilities 102:Medical equipment 103: Operation information recording unit 104: Functional information recording unit 105: Arithmetic section 107: Cloud 108: Operation information 109: Function information 110: Other facilities 111: Recommended function calculation unit 112: Evaluation calculation unit 113: Similar facility calculation unit 114: Display control unit 201: Operation information 202: Functionality information 203: Functionality information 310: Transport unit 320: Processing section 330: Control unit 331: Processor 332: Communication I / F 333: Main memory 334:Auxiliary storage device 335: Input / output interface 336: Bus 340: Display section 401: Processor 402: Communication I / F 403: Main memory 404: Auxiliary storage 405: Input / output interface 406: Bus 1401: Teacher data 1402: Trained model

Claims

1. A function recommendation system that recommends functions executable by a medical device to a user, an operation information recording unit that stores operation information indicating an operation status of the medical device; a function information recording unit that stores function information including usage conditions for recommending functions executed by the medical device; a recommended function calculation unit that outputs a function corresponding to the usage conditions as a recommended function based on the operation information and the usage conditions; Equipped with an evaluation calculation unit that outputs, as graphical information, an effect obtained when the recommended function is applied to the medical device; the evaluation calculation unit compares the effect obtained when the recommended function is applied to the medical device with an evaluation of the usage status of the medical device when the recommended function is not applied, and outputs the result. A feature recommendation system characterized by:

2. A function recommendation system that recommends functions executable by a medical device to a user, an operation information recording unit that stores operation information indicating an operation status of the medical device; a function information recording unit that stores function information including usage conditions for recommending functions executed by the medical device; a recommended function calculation unit that outputs a function corresponding to the usage conditions as a recommended function based on the operation information and the usage conditions; Equipped with an evaluation calculation unit that outputs, as graphical information, an effect obtained when the recommended function is applied to the medical device; The evaluation calculation unit uses the operation information of the specified measurement range to compare an effect obtained when the recommended function in the measurement range is applied to the medical device with an evaluation of the usage status of the medical device in the measurement range in which the recommended function was not applied, and outputs the comparison result. A feature recommendation system characterized by:

3. A function recommendation system that recommends functions executable by a medical device to a user, an operation information recording unit that stores operation information indicating an operation status of the medical device; a function information recording unit that stores function information including usage conditions for recommending functions executed by the medical device; a recommended function calculation unit that outputs a function corresponding to the usage conditions as a recommended function based on the operation information and the usage conditions; Equipped with an evaluation calculation unit that outputs graphical information about the usage status of the medical device based on the operation information; the evaluation calculation unit outputs an evaluation of the medical device to which the recommended function is applied for each of a plurality of items, and the recommended function calculation unit automatically sets the recommended function in the medical device based on the plurality of evaluations. A feature recommendation system characterized by:

4. In any one of claims 1 to 3, A function recommendation system further comprising a display control unit that displays the recommended functions output by the recommended function calculation unit on a display unit.

5. In any one of claims 1 to 3, A function recommendation system, characterized in that the recommended functions output by the recommended function calculation unit are automatically applied to the medical device.

6. In any one of claims 1 to 3, a medical device operation history, a medical device replacement time and usage time for parts of the medical device, and a medical device operation history, a medical device operation history, an event history, an alarm history, a system setting information of the medical device, an operating time of the medical device, a replacement time and usage time for parts of the medical device, and an amount of water and electricity consumed by the medical device.

7. In any one of claims 1 to 3, A function recommendation system, characterized in that new function information corresponding to a function and a usage condition for recommending the function is acquired from an external device via a network.

8. In claim 1 or 2, The function recommendation system is characterized in that the evaluation calculation unit outputs the usage status of the medical device as graphical information based on the operation information.

9. In claim 3, The function recommendation system, wherein the evaluation calculation unit outputs, as graphical information, an effect obtained when the recommended function is applied to the medical device.

10. In claim 3, The function recommendation system is characterized in that the evaluation calculation unit outputs a report containing details of the usage status of the medical device based on the operation information, the report including at least one item of the number of tests, the number of emergency tests, the number of test items, the average operation time, the average TAT (turnaround time), the average operation time, the maximum number of days beyond maintenance, and the average amount of water consumption.

11. In claim 3, The evaluation calculation unit outputs an evaluation of the usage status of the medical device based on the operation information, the evaluation including at least one item of availability rate, operational efficiency, normal operation degree, environmental efficiency, and TAT (turnaround time) efficiency.

12. In any one of claims 1 to 3, The function recommendation system further comprises a similar facility calculation unit that outputs, as graphical information, usage status of medical devices of the same type as the medical device.

13. A function recommendation system that recommends functions executable by a medical device to a user, an operation information recording unit that stores operation information indicating an operation status of the medical device; A function recommendation system comprising: a trained model constructed using as training data at least the operation information, the functions used, and an evaluation of the usage status of the medical device output by the medical device based on the operation information, the trained model outputting recommended functions based on the operation information.

14. A function recommendation method for recommending executable functions of a medical device to a user, comprising: a processor storing operational information indicating a usage status of the medical device; storing function information including terms of use for recommending functions to be executed by the medical device; a step of outputting, by the processor, a function corresponding to the usage conditions as a recommended function based on the operation information and the usage conditions; a step of outputting, by the processor, graphical information of an effect obtained when the recommended function is applied to the medical device; and In the step of outputting the effect, the processor compares the effect obtained when the recommended function is applied to the medical device with an evaluation of the usage status of the medical device when the recommended function is not applied, and outputs the result. A feature recommendation method comprising:

15. A function recommendation method for recommending executable functions of a medical device to a user, comprising: a processor storing operational information indicating a usage status of the medical device; storing function information including terms of use for recommending functions to be executed by the medical device; a step of outputting, by the processor, a function corresponding to the usage conditions as a recommended function based on the operation information and the usage conditions; a step of outputting, by the processor, graphical information of an effect obtained when the recommended function is applied to the medical device; and In the step of outputting the effect, the processor uses the operation information of the specified measurement range to output an effect obtained when the recommended function in the measurement range is applied to the medical device, comparing the effect with an evaluation of the usage status of the medical device in the measurement range in which the recommended function was not applied. A feature recommendation method comprising:

16. A function recommendation method for recommending executable functions of a medical device to a user, comprising: a processor storing operational information indicating a usage status of the medical device; storing function information including terms of use for recommending functions to be executed by the medical device; a step of outputting, by the processor, a function corresponding to the usage conditions as a recommended function based on the operation information and the usage conditions; a step of outputting, by the processor, graphical information indicating the usage status of the medical device based on the operation information; and In the step of outputting the usage status, the processor outputs an evaluation of the medical device to which the recommended function is applied for each of a plurality of items, and in the step of outputting the recommended function, the processor automatically sets the recommended function in the medical device based on the plurality of evaluations. A feature recommendation method comprising:

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