Automatic analysis device, automatic analysis system, and analysis result extraction method

Abstract

The purpose of the present invention is to provide an automatic analysis device with which it is possible to easily extract a specimen to which a data alarm resulting from a specific factor is applied and an analysis result for the specimen, irrespective of the amount of knowledge possessed by a user. For this purpose, the present invention is an automatic analysis device comprising: an analysis unit that performs analysis; a storage unit that stores an analysis result; a display unit that displays the analysis result; an operation unit that receives an operation from a user; and a control unit that controls the analysis unit, the storage unit, the display unit, and the operation unit, wherein the storage unit also stores data alarm attribute information in which a corresponding attribute is defined in advance for each data alarm, and when a prescribed attribute is selected by the operation unit, the control unit identifies a data alarm corresponding to the selected attribute with reference to the data alarm attribute information stored in the storage unit, reads the analysis result to which the identified data alarm has been applied from the storage unit, and causes the analysis result to be outputted to the display unit.

Description

Automatic analysis device, automatic analysis system, and analysis result extraction method

[0001] The present invention relates to an automatic analyzer, an automatic analysis system, and an analysis result extraction method.

[0002] An automated analyzer is an apparatus that performs qualitative or quantitative analysis of components contained in biological samples (hereinafter referred to as "samples") such as blood and urine. During analysis using such an automated analyzer, errors may occur due to hardware malfunctions in the device, deterioration of reagents, or abnormalities in the sample itself. Therefore, an automated analyzer has been proposed that has a function for adding a data alarm to the analysis results of a target sample so that, when an error occurs, it is possible to determine which sample and what type of error occurred. For example, Patent Document 1 discloses an automated analyzer that, when a user selects a data alarm, displays a list of samples to which the data alarm has been added and their analysis results.

[0003] JP 2010-71647 A

[0004] When an automated analyzer analyzes a large number of samples, it is expected that multiple data alarms caused by different factors will occur. However, for users with little knowledge of data alarms, it is necessary to check the data alarms one by one, making it difficult to select data alarms caused by a specific factor. As a result, it takes time to extract samples with data alarms caused by a specific factor and their analysis results.

[0005] An object of the present invention is to provide an automatic analyzer, an automatic analysis system, and an analysis result extraction method that can easily extract samples that have been given a data alarm due to a specific factor and their analysis results, regardless of the user's level of knowledge.

[0006] In order to achieve the above-mentioned object, the present invention provides an automatic analysis device comprising an analysis unit that performs analysis, a memory unit that stores the analysis results, a display unit that displays the analysis results, an operation unit that accepts operations from a user, and a control unit that controls the analysis unit, the memory unit, the display unit, and the operation unit, wherein the memory unit also stores data alarm attribute information in which attributes corresponding to each data alarm are pre-defined, and when a specific attribute is selected by the operation unit, the control unit identifies a data alarm corresponding to the selected attribute by referring to the data alarm attribute information stored in the memory unit, and reads out the analysis result with the identified data alarm attached from the memory unit and outputs it to the display unit.

[0007] According to the present invention, it is possible to provide an automatic analyzer, an automatic analysis system, and an analysis result extraction method that can easily extract samples that have been given a data alarm due to a specific factor and their analysis results, regardless of the user's level of knowledge.

[0008] 6 is a schematic diagram showing the overall configuration of an automatic analyzer according to Example 1. A diagram showing an example of a data configuration stored in a storage unit. A flowchart showing a method by which a control unit extracts analysis results to which a data alarm has been assigned. An example of a pre-extraction analysis result display screen. An example of a screen showing a state in which the filter selection button in FIG. 4 is expanded. An example of a filter setting screen. An example of a screen showing a state in which the custom selection button in FIG. 6 is expanded. An example of a screen showing a state in which the analysis unit selection button in FIG. 6 is expanded. A flowchart showing the actions and decisions made by a user when making basic filter settings. A flowchart showing the actions and decisions made by a user when adding extraction conditions to a filter. An example of a post-extraction analysis result display screen. A flowchart showing the processing of an extraction condition setting unit when defining user-customized information. An example of a user-customized information setting screen. An example of a data alarm selection screen. A schematic diagram showing the overall configuration of an automatic analysis system according to Example 2. An example of a screen showing a state in which the selection buttons in the analysis unit selection field are expanded.

[0009] Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

[0010] <Overall Configuration of Automated Analyzer> Figure 1 is a schematic diagram showing the overall configuration of an automated analyzer according to Example 1. The automated analyzer mainly comprises an analysis unit 2, a control unit 3, a memory unit 4, a display unit 5, and an operation unit 6. Here, in this Example, an automated analyzer is described in which, as multiple analysis units (analysis modules), a base turntable-type biochemical analysis unit (analysis unit A) and a blood coagulation time analysis unit (analysis unit B) indicated by the dashed line X in Figure 1 are provided within a single housing. The automated analyzer also has a function of monitoring errors and abnormalities during analysis, and, if an error or the like is detected, outputting the analysis results together with predetermined data indicating the type of the error or the like as a data alarm.

[0011] The analysis unit 2 measures the mixture of the sample and the reagent, and transmits the obtained measurement value to the control unit 3 via an interface 7 such as a hub. In addition to the control unit 3, the interface 7 is also connected to a memory unit 4, a display unit 5, and an operation unit 6.

[0012] The control unit 3 is, for example, a CPU, and controls the analysis unit 2, memory unit 4, display unit 5, and operation unit 6. The control unit 3 is connected to each mechanism of the analysis unit 2 via an interface 7, and controls the operation of each mechanism, as well as performing predetermined calculations using measured values ​​received from each analysis unit to obtain analysis results. Furthermore, the control unit 3 stores the analysis results in the memory unit 4 and executes each function by reading each program stored in the memory unit 4.

[0013] FIG. 2 is a diagram showing an example of the data configuration stored in the storage unit 4. As shown in FIG. 2, the storage unit 4 is composed of a memory 10 and a storage 20. The memory 10 stores programs corresponding to each function executed by the control unit 3 as an extraction condition setting unit 11 and an analysis result extraction unit 12. The extraction condition setting unit 11 sets conditions for extracting analysis results, such as selecting attributes of data alarms and defining user-customized information. The analysis result extraction unit 12 extracts a predetermined analysis result from all analysis results stored in the storage unit 4 based on the conditions set by the extraction condition setting unit 11. Although not shown, the memory 10 also stores an operation control unit that controls the operation of each mechanism and a measurement value calculation unit that calculates analysis results using measurement values.

[0014] The program may be provided by being pre-installed in a ROM or the like, or by being recorded in an installable or executable file format on a computer-readable recording medium such as a CD-ROM and provided or distributed. Furthermore, the program may be stored on a computer connected to a network such as the Internet and provided or distributed by being downloaded via the network.

[0015] The storage 20 is composed of a non-volatile storage device and stores analysis results 21, data alarm attribute information 22, filter information 23, user customization information 24, etc. The analysis results 21 are the results of analysis by each analysis unit, and a data alarm is also assigned to an analysis that has generated a data alarm. The data alarm attribute information 22 is information in which attributes corresponding to each data alarm are predefined. The filter information 23 is information that manages the attributes or user customization items selected by the user for each filter, and if the user further selects a specific condition, it also manages the condition. The user customization information 24 is information in which data alarms corresponding to each user customization item are predefined according to the data alarm selected by the user.

[0016] The display unit 5 is, for example, a liquid crystal display, and displays analysis request items, analysis results, various setting screens, etc. The operation unit 6 is, for example, a keyboard, a mouse, etc. that accepts operations from the user, and performs operations such as pressing buttons displayed on various setting screens displayed on the display unit 5 with the mouse cursor, clicking the mouse, etc., and entering numbers and characters into input boxes from the keyboard.

[0017] <Method of Extracting Analysis Results> FIG. 3 is a flowchart showing a method by which the control unit extracts analysis results to which a data alarm has been assigned.

[0018] When the user performs a predetermined operation using the operation unit 6, the control unit 3 reads the analysis results of each analysis unit from the storage unit 4 and outputs a screen such as that shown in FIG. 4 on the display unit 5 (step S301). FIG. 4 is an example of a pre-extraction analysis result display screen. As shown in FIG. 4, a list of sample information is displayed on the left side of the pre-extraction analysis result display screen. Each piece of sample information includes the sample ID, the rack ID on which the sample is mounted, the sample type (e.g., blood or urine), and the date and time the analysis was performed. When a predetermined piece of sample information (e.g., sample ID "1" in FIG. 4) is selected, the analysis information for that sample is displayed on the right side of the pre-extraction analysis result display screen, including the requested analysis item, the unit of analysis, a numerical value indicating the analysis result, a data alarm assigned to the analysis result (blank if no data alarm is assigned), the analysis unit where the analysis was performed, and the analysis status (e.g., analysis completed, analysis failed, etc.).

[0019] Next, if the user wants to extract analysis results to which a predetermined data alarm has been assigned, the user taps the filter selection button 41 at the top of the pre-extraction analysis result display screen. The control unit 3 (extraction condition setting unit 11) then reads the filter information from the storage unit 4 and outputs a screen such as that shown in FIG. 5 to the display unit 5 (step S302). FIG. 5 is an example of a screen showing the filter selection button expanded in FIG. 4. As shown in FIG. 5, the expanded content includes a filter item 51 and a filter setting button 52. The filter item 51 also displays the number and name of the filter that has been set.

[0020] Here, the extraction condition setting unit 11 determines whether a set filter has been selected (step S303). If a set filter has been selected, i.e., if the user selects the check box 53 for a specific filter, the extraction condition setting unit 11 reads out the attributes or user-customized items set in the filter and any conditions added as necessary (hereinafter, these may be referred to as attributes, etc.), and identifies a data alarm corresponding to the read attributes, etc., by referring to the data alarm attribute information, etc., stored in the storage unit 4 (step S304). Thereafter, the control unit 3 (analysis result extraction unit 12) reads out the analysis result to which the data alarm has been assigned from the storage unit 4 (step S305), and causes the display unit 5 to output a post-extraction analysis result display screen (see FIG. 11, described later) instead of the pre-extraction analysis result display screen of FIG. 4 (step S306).

[0021] On the other hand, if a set filter is not selected in step S303 and the user taps the filter setting button 52 in FIG. 5, the extraction condition setting unit 11 outputs a screen such as that shown in FIG. 6 on the display unit 5 (step S307). FIG. 6 is an example of a filter setting screen. As will be described in detail later, a filter is set from the screen in FIG. 6 (step S308). Once the filter setting is complete, the process returns to step S301, and the control unit 3 again outputs the pre-extraction analysis result display screen shown in FIG. 4 on the display unit 5, and the same processing is repeated thereafter.

[0022] <Filter Setting Method> Next, a filter setting method will be specifically described with reference to FIGS. 6 to 10. FIG.

[0023] 6, the upper part of the filter setting screen is provided with a filter number column 61 and a filter name column 62, which indicate information to be set. Furthermore, the filter setting screen is provided with a data alarm classification selection column 63, an analysis unit selection column 64, a specimen selection column 65, and an analysis status selection column 66, which are columns for setting extraction conditions for the filter.

[0024] Here, the data alarm classification selection field 63 has two classifications: classification by data alarm attributes and classification by user customization.

[0025] The selection of items for classification by data alarm attributes is used when a person with limited knowledge of data alarms (hereinafter referred to simply as the user) wants to extract analysis results by focusing on the attributes of data alarms. Classification by data alarm attributes includes three items: abnormal location, abnormal measurement value, and whether retesting is possible. The abnormal location item is used to define the conditions for the location of a data alarm, and the user can select either the operation unit or the analysis unit using a check box. For example, if you want to extract analysis results (specimens) that have an abnormality in the analysis unit, such as a clogged reagent, you would select the analysis unit. Using this abnormal location item, it is also possible to determine whether the abnormality occurred in the operation unit or the analysis unit. The abnormal measurement value item is used to define whether or not a measurement value is abnormal, and the user can select above and / or below the threshold using a check box. Using this abnormal measurement value item, it is also possible to confirm whether only some of the samples have abnormal measurement values. The whether or not retesting is possible is used to define the conditions for whether or not retesting is possible, and the user can select whether or not retesting is possible using a check box. For example, when it is desired to extract an analysis result (specimen) for which retesting is possible due to a lack of reagents or the like, "retest possible" is selected.

[0026] The selection of classification items through user customization is primarily used when a user who has difficulty classifying data alarms by attribute, such as a user using an automated analyzer for the first time, wants to extract analysis results associated with specific data alarms. When the user taps the custom selection button 67 in the data alarm classification selection field 63 in FIG. 6 , the extraction condition setting unit 11 reads the user customization information from the storage unit 4 and outputs a screen such as that shown in FIG. 7 on the display unit. FIG. 7 is an example of a screen showing the custom selection button in FIG. 6 with the button expanded. As shown in FIG. 7 , the expanded content includes pre-defined user customization items 71. The user customization items are set (defined) in advance by a person with extensive knowledge of data alarms (hereinafter referred to as the device administrator) using the method described below. Therefore, the user can classify data alarms simply by selecting a specific user customization item 71 using a checkbox. Furthermore, even when the device administrator wants to extract specific analysis results themselves, pre-setting the user customization items in this way can reduce the effort required to set up filters.

[0027] The analysis unit selection field 64 is a field used when specifying conditions for the analysis unit (analysis module) in which a data alarm has occurred. When the user taps the analysis unit selection button 68 in the analysis unit selection field 64 in FIG. 6, the extraction condition setting unit 11 outputs a screen such as that shown in FIG. 8 to the display unit 5. FIG. 8 is an example of a screen showing the analysis unit selection button in FIG. 6 in an expanded state. In the example shown in FIG. 8, the expanded items 81 include analysis unit A and analysis unit B, which are selectable. For example, if the user determines that data alarms are being assigned disproportionately to the analysis results of analysis unit A (biochemical analysis unit) and wishes to extract only the analysis results of analysis unit A, only analysis unit A is selected.

[0028] The sample selection field 65 is a field used when specifying conditions for the sample type for which a data alarm has occurred, and the user can select at least one of general samples, urgent samples, and quality control samples using check boxes. For example, if the user determines that data alarms are being assigned disproportionately to the analysis results of general samples and wishes to extract only the analysis results of those general samples, only those general samples are selected.

[0029] The analysis status selection field 66 is a field used when specifying conditions related to the status of the analysis in which a data alarm occurred, and the user can select at least one of the following using a check box: Requested, Measurement in progress, Analysis completed, Analysis failed. For example, if the user determines that a data alarm has been assigned to an analysis result in which the analysis failed midway, and wishes to extract only the analysis results of that analysis failure, only that analysis failure will be selected.

[0030] Note that while selecting an item using the data alarm classification selection field 63 is essential for determining the extraction conditions in the filter, selecting conditions using the analysis unit selection field 64, specimen selection field 65, and analysis status selection field 66 is optional. However, if a certain trend in the issuance of data alarms is found regarding the analysis unit, specimen type, and analysis status, adding conditions using the analysis unit selection field 64, specimen selection field 65, and analysis status selection field 66 makes it possible to narrow down the analysis results to those with a certain trend.

[0031] <<Basic Filter Settings (Data Alarm Classification Settings)>> Fig. 9 is a flowchart showing the actions and decisions made by the user when setting the basic filter settings. Here, a case will be described in which only the data alarm classification selection required for filter settings is performed.

[0032] First, the user inputs information into the filter number column 61 and the filter name column 62 in Fig. 6 (step S901). The filter number input at this time must not overlap with any filter number that has already been set.

[0033] Next, the user determines whether or not classification based on user customization is required (step S902). If classification based on user customization is required, the user selects a desired item from the user customization items that have already been set (step S903). Once the desired user customization item is selected, the process proceeds to step S910.

[0034] On the other hand, if the user does not desire classification by user customization in step S902, the user will subsequently perform classification by data alarm attributes. First, the user determines whether classification by abnormality location is necessary (step S904). If classification by abnormality location is not desired, the process proceeds to the next step S906. If classification by abnormality location is desired, the user selects the operation unit or the analysis unit (step S905), and then proceeds to step S906.

[0035] In step S906, the user determines whether classification based on measurement abnormalities is required. If classification based on measurement abnormalities is not desired, the process proceeds to the next step S908. If classification based on measurement abnormalities is desired, the user selects above the threshold and / or below the threshold (step S907), and then proceeds to step S908.

[0036] In step S908, the user determines whether classification based on whether retesting is possible is required. If classification based on whether retesting is possible is not desired, the process proceeds to the next step S910. If classification based on whether retesting is possible is desired, the user selects whether retesting is possible or not (step S909), and then proceeds to step S910.

[0037] In step S910, the user taps the overwrite button in Fig. 6 to overwrite the setting items, and then taps the save button to save the filter information in the storage unit 4 (step S910). When saving is complete, the basic filter settings are completed.

[0038] It should be noted that the order of steps S904 to S909 in FIG. 9 is not limited to this. For example, it may be determined whether classification based on measurement value anomalies is necessary before determining whether classification based on abnormal locations is necessary.

[0039] 9, a filter is set only by selecting a data alarm category, but the analysis results may be further narrowed down by adding other extraction conditions to the filter. To add extraction conditions, the analysis unit selection field 64, the specimen selection field 65, and the analysis status selection field 66 on the filter setting screen shown in FIG. 6 are used.

[0040] 10 is a flowchart showing the actions and decisions made by the user when adding extraction conditions to a filter. Here, the explanation will be given assuming that the setting of data alarm classification has already been completed.

[0041] First, the user specifies a filter number in the filter number column 61 in FIG. 6 in order to specify a filter to which an extraction condition is to be added (step S1001).

[0042] Next, the user determines whether or not to add a condition related to the analysis unit (step S1002). If a condition related to the analysis unit is not to be added, the process proceeds to the next step S1004. If a condition related to the analysis unit is to be added, the user selects a predetermined analysis module (e.g., analysis unit A or analysis unit B) (step S1003), and then proceeds to step S1004.

[0043] In step S1004, the user determines whether or not to add a condition related to the sample type. If a condition related to the sample type is not to be added, the process proceeds to the next step S1006. If a condition related to the sample type is to be added, the user selects at least one of a general sample, an urgent sample, and a quality control sample (step S1005), and then proceeds to step S1006.

[0044] In step S106, the user determines whether or not to add a condition related to the analysis status. If no condition related to the analysis status is to be added, the process proceeds to the next step S1008. If a condition related to the analysis status is to be added, the user selects at least one of "requested," "measuring," "analysis completed," and "analysis failed" (step S1007), and then proceeds to step S1008.

[0045] In step S1008, the user taps the overwrite button in Fig. 6 to overwrite the additional condition, and then taps the save button to save it as filter information in the storage unit 4. When saving is complete, the addition of extraction conditions is completed.

[0046] Of the steps in FIG. 10, the order of steps S1002 to S1007 is not limited to this; for example, it may be determined whether or not a condition related to the sample type needs to be added before determining whether or not a condition related to the analysis unit needs to be added.

[0047] <Display of post-extraction analysis results> When analysis results to which a predetermined data alarm has been assigned are extracted based on the filter set as described above, a post-extraction analysis result display screen is output to the display unit in step S306 of Fig. 3 described above. Fig. 11 is an example of the post-extraction analysis result display screen. In Fig. 11, analysis results to which a data alarm corresponding to the condition for re-examination (for example, Reag.S, which is a data alarm for a lack of reagent) has been assigned are extracted.

[0048] <Definition of User Customized Items> As mentioned above, it is the user who uses the user customized items, while it is the device administrator who sets the user customized items. Therefore, before the user performs classification based on user customization, the device administrator must define user customized information. Therefore, a method for defining user customized information will be described with reference to Figures 12 to 14. Figure 12 is a flowchart showing the processing of the extraction condition setting unit when defining user customized information.

[0049] When the user performs a predetermined operation using the operation unit 6, the extraction condition setting unit 11 reads out the user customized information from the storage unit 4 and outputs a screen such as that shown in FIG. 13 on the display unit 5 (step S1201). FIG. 13 is an example of a user customized information setting screen. As shown in FIG. 13, a list of already defined user customized items is displayed on the left side of the user customized information setting screen. When the user selects a defined user customized item, a list of data alarms corresponding to the selected user customized item is displayed on the right side of the user customized information setting screen. Furthermore, when a specific user customized item is selected, a setting button 131 is displayed in the field for the selected user customized item, regardless of whether the item is already defined. When the setting button 131 for a defined user customized item is tapped, a user customized item change button 132 and a user customized item delete button 133 are displayed. On the other hand, when the setting button 131 for a new (undefined) user customized item is tapped, only the user customized item change button 132 is displayed.

[0050] Thereafter, when the user taps the user customized item change button 132, the extraction condition setting unit 11 determines whether the user customized item is already defined or new (step S1202). If it is determined to be a defined user customized item, the extraction condition setting unit 11 deletes the user customized information related to the user customized item from the storage unit 4 (step S1203), and then proceeds to step S1204. If it is determined to be a new user customized item in step S1202, the extraction condition setting unit 11 proceeds directly to step S1204.

[0051] In step S1204, the extraction condition setting unit 11 outputs a screen such as that shown in Fig. 14 to the display unit 5. Fig. 14 is an example of a data alarm selection screen, showing a state in which two data alarms, Samp. S and Reag. S, are selected. In this state, when the user taps the overwrite button to overwrite the selected items and then taps the save button, the extraction condition setting unit 11 saves the data as user customization information in the storage unit 4 (step S1205). When saving is complete, the definition of the user customization items is completed.

[0052] Example 2 is an automatic analysis system in which multiple automatic analyzers are connected to a terminal device. Fig. 15 is a schematic diagram showing the overall configuration of the automatic analysis system according to Example 2. As shown in Fig. 15, the automatic analysis system includes multiple (four) automatic analyzers, a terminal device 8 (information management PC), and a communication device 9. Note that the number of automatic analyzers is not limited to four.

[0053] Each automated analyzer includes an analysis unit 2a-2d, an interface 7a-7d, and a control unit 3a-3d (analysis device PC), and the main configuration is as described in Example 1. Meanwhile, a terminal device 8 is connected to the control units 3a-3d of each automated analyzer via a communication device 9 and the interfaces 7a-7d, and collects information such as the analysis status, analysis results, and data alarms of each automated analyzer. The communication device 9 is, for example, a router, and allows the terminal device 8 to communicate with the control units 3a-3d of each automated analyzer.

[0054] The terminal device 8 includes a control unit, a memory unit, a display unit, and an operation unit (not shown). The control unit is, for example, a CPU, which controls the memory unit, display unit, and operation unit. It stores analysis results acquired from each automated analyzer in the memory unit and executes each function by reading each program stored in the memory. The memory is composed of a memory and a storage. Programs corresponding to each function executed by the control unit are stored in the memory as an extraction condition setting unit and an analysis result extraction unit. The roles of the extraction condition setting unit and the analysis result extraction unit are the same as in Example 1. The storage stores the analysis results of each automated analyzer, data alarm attribute information, filter information, user customization information, etc. The analysis results are the results of analysis performed by the analysis units 2a to 2d of each automated analyzer, and a data alarm is also assigned to an analysis that generates a data alarm. The meanings of the data alarm attribute information, filter information, and user customization information are as described in Example 1. The display unit is, for example, a liquid crystal display, and displays analysis results as well as various setting screens. The operation unit is a keyboard, mouse, etc. that accepts operations from the user, and includes pressing buttons displayed on various setting screens displayed on the display unit with the mouse cursor, for example, clicking the mouse, and entering numbers and letters into input boxes from the keyboard.

[0055] In the second embodiment, it is possible to add conditions related to the automated analyzer in order to narrow down the analysis results. Therefore, an analyzer selection field 161 is displayed on the filter setting screen in the second embodiment, instead of the analysis unit selection field in the first embodiment. FIG. 16 is an example of a screen showing a state in which the selection buttons in the analyzer selection field are expanded. In FIG. 16, an automated analyzer A (e.g., a biochemical automated analyzer) and an automated analyzer B (e.g., an immunological automated analyzer) are selectable. For example, if a user determines that data alarms are unevenly assigned to the analysis results of the automated analyzer A and wishes to extract only the analysis results of the automated analyzer A, only the automated analyzer A is selected.

[0056] The above-described embodiments have been described in detail to clearly explain the present invention, and are not necessarily limited to those including all of the described configurations. Furthermore, it is 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. Furthermore, it is also possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

[0057] 2...analysis unit, 3...control unit, 4...storage unit, 5...display unit, 6...operation unit, 7...interface, 8...terminal device, 9...communication equipment, 10...memory, 11...extraction condition setting unit, 12...analysis result extraction unit, 20...storage, 21...analysis result, 22...data alarm attribute information, 23...filter information, 24...user customized information, 41...filter selection button, 51...filter item, 52...filter setting button, 53...check box, 61...filter No. column, 62...filter name column, 63...data alarm classification selection column, 64...analysis unit selection column, 65...specimen selection column, 66...analysis status selection column, 67...custom selection button, 68...analysis unit selection button, 71...user customized item, 81...item, 131...setting button, 132...user customized item change button, 133...user customized item deletion button, 161...analysis device selection column

Claims

1. The analysis department that performs the analysis, A memory unit that stores the analysis results, A display unit for displaying the analysis results, An operating unit that receives input from the user, A control unit that controls the analysis unit, the storage unit, the display unit, and the operation unit, An automated analyzer equipped with, If a data alarm occurs during analysis, the data alarm will be added to the analysis results. The aforementioned storage unit also stores data alarm attribute information, in which the corresponding attributes for each data alarm are predefined. An automatic analysis apparatus characterized in that, when a predetermined attribute rather than the data alarm itself is selected by the operation unit, the control unit refers to the data alarm attribute information stored in the storage unit to identify the data alarm corresponding to the selected attribute, reads the analysis result to which the identified data alarm is attached from the storage unit, and outputs it to the display unit.

2. In the automated analyzer described in claim 1, The automated analyzer is characterized in that the aforementioned attributes include at least one of the following: the location where a data alarm occurred, whether or not there is an abnormality in the measured value, and whether or not re-testing is possible.

3. In the automated analyzer described in claim 2, An automatic analyzer characterized in that, when a predetermined condition is further selected by the operation unit, the control unit narrows down the analysis results to those corresponding to the selected condition and outputs them to the display unit.

4. In the automated analyzer described in claim 3, The aforementioned analysis unit is composed of multiple units, The automated analyzer is characterized in that the above conditions include at least one of the following: the analysis unit in which the data alarm occurred, the type of sample in which the data alarm occurred, and the status of the analysis in which the data alarm occurred.

5. In the automated analyzer described in claim 1, The storage unit also stores user customization information in which data alarms corresponding to each user customization item are predefined based on predetermined data alarms selected by the operation unit. An automatic analysis apparatus characterized in that, when a predetermined user customization item is selected by the operation unit, the control unit refers to the storage unit to identify a data alarm corresponding to the selected user customization item, reads the analysis result to which the identified data alarm is attached from the storage unit, and outputs it to the display unit.

6. Multiple automated analyzers, It has terminal devices connected to multiple of the aforementioned automatic analyzers, The aforementioned terminal device is A storage unit that stores analysis results obtained from multiple automated analyzers, A display unit for displaying the analysis results, An operating unit that receives input from the user, A control unit that controls the storage unit, the display unit, and the operation unit, An automated analysis system equipped with, If a data alarm occurs during analysis, the data alarm will be added to the analysis results. The aforementioned storage unit also stores data alarm attribute information, in which the corresponding attributes for each data alarm are predefined. An automated analysis system characterized in that, when a predetermined attribute rather than the data alarm itself is selected by the operation unit, the control unit refers to the data alarm attribute information stored in the storage unit to identify the data alarm corresponding to the selected attribute, reads the analysis result to which the identified data alarm is attached from the storage unit, and outputs it to the display unit.

7. In the automated analysis system described in claim 6, An automatic analysis system characterized in that, when a predetermined automatic analyzer is further selected by the operation unit, the control unit narrows down the output to the display unit for the analysis results corresponding to the selected automatic analyzer.

8. A method for extracting analysis results from an automated analyzer, The memory unit stores data alarm attribute information, in which the corresponding attributes are predefined for each data alarm. The memory unit stores the analysis results to which a data alarm has been assigned, When a predetermined attribute is selected instead of the data alarm itself, the control unit refers to the data alarm attribute information stored in the storage unit to identify the data alarm corresponding to the selected attribute, and reads the analysis result to which the identified data alarm is assigned from the storage unit. A method for extracting analysis results, characterized by having the following features.