CN113015908A - Sample analysis device and reagent distribution method - Google Patents
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- 238000003018 immunoassay Methods 0.000 description 2
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- 238000003759 clinical diagnosis Methods 0.000 description 1
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Abstract
A sample analysis apparatus and a reagent dispensing method, the reagent dispensing method comprising: acquiring project information and reagent distribution target indexes input by a user through an input device (10); determining sample information to be used from the statistical data according to the project information; determining a plurality of preselected reagent distribution modes according to the project information and reagent units (S) of the sample analysis equipment, wherein the number of the reagent units (S) is at least two; calculating index data corresponding to each pre-selected reagent distribution mode according to the sample information and the project information; and determining a reagent distribution mode meeting the target index according to the index data and displaying the reagent distribution mode to a user. The reagent distribution mode can be determined according to historical statistical data, so that a reagent distribution guidance scheme is provided for a user, and the use effect after reagent distribution meets the required requirements.
Description
The invention relates to the technical field of medical instruments, in particular to sample analysis equipment and a reagent distribution method.
The in vitro diagnosis technology can obtain clinical diagnosis information by detecting samples of blood, body fluid, tissues and the like of a human body outside the human body, and provides a basis for judging the diagnosis of diseases and the body functions. Some sample analyzers, such as biochemical analyzers and immunoassay analyzers, can realize simultaneous reaction and detection of a plurality of samples and a plurality of items, have the advantages of high automation degree, high measurement speed, accurate measurement result and the like, and are widely applied to clinical examination. In the process of analyzing a sample, the sample analyzer generally needs to mix the sample to be tested with a corresponding reagent according to a test item, which requires the sample analyzer to be provided with a required reagent. For a sample analyzer with a plurality of reagent units, reagent distribution needs to be performed on different reagent units when the sample analyzer is used, and different reagent distribution modes can directly affect the testing speed, the working time and the like of the sample analyzer.
At present, the dispensing mode of the reagent is mainly determined by a user, which requires the user to have long experience of using the instrument, and for the user without experience, the dispensing of the reagent cannot be well completed.
Disclosure of Invention
The present invention generally provides a sample analysis apparatus and a reagent dispensing method to enable the sample analysis apparatus to automatically provide a reagent dispensing protocol.
According to a first aspect, there is provided in one embodiment a sample distribution apparatus comprising: the device comprises an input device, an analysis device, a processor and a display device;
the analysis device is connected with the processor and is used for analyzing the sample, and the analysis device comprises at least two reagent units which are used for providing reagents for sample detection;
the input device is connected with the processor and is used for detecting project information input by a user and a target index of reagent distribution;
the processor is used for determining sample information to be used from statistical data according to the project information, determining a plurality of preselected reagent distribution modes according to the project information and the reagent units, calculating index data corresponding to each preselected reagent distribution mode according to the sample information and the project information, determining a reagent distribution mode meeting the target index according to the index data, and obtaining a target reagent distribution mode;
the display device is connected with the processor and is used for displaying the target reagent distribution mode.
According to a second aspect, there is provided in an embodiment a reagent dispensing method comprising:
receiving project information and reagent distribution target indexes input by a user through an input device;
determining sample information to be used from statistical data according to the project information;
determining a plurality of preselected reagent distribution modes according to the project information and reagent units of the sample analysis equipment, wherein the number of the reagent units is at least two;
calculating index data corresponding to each pre-selected reagent distribution mode according to the sample information and the project information;
determining a reagent distribution mode meeting the target index according to the index data to obtain a target reagent distribution mode;
and displaying the target reagent distribution mode.
According to the sample analysis device and the reagent distribution method of the embodiment, after a user inputs project information and a target index of reagent distribution, the sample analysis device can determine a possible preselected reagent distribution mode according to the project information, then calculate index data corresponding to each of the preselected reagent distribution modes by using historical statistical data, determine a reagent distribution mode meeting the target index according to the index data, and display the determined reagent distribution mode to the user; the sample analysis equipment can automatically provide a reagent distribution guidance scheme, and the use effect of the distributed reagent meets the requirement of a target index.
Fig. 1 is a schematic structural diagram of a sample analysis apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a sample analysis device according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a sample analysis device according to another embodiment of the present invention;
FIG. 4 is a flow chart of a reagent dispensing method according to an embodiment of the present invention;
FIG. 5 is a schematic view of a reagent dispensing setup interface provided in accordance with an embodiment of the present invention;
FIG. 6 is a flow chart of a reagent dispensing method according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a statistical data configuration interface in accordance with an embodiment of the present invention;
FIG. 8 is a diagram illustrating a project information configuration interface in accordance with an embodiment of the present invention;
FIG. 9 is a schematic diagram of another project information configuration interface in accordance with an embodiment of the present invention;
FIG. 10 is a diagram of an assignment information display interface in an embodiment of the invention.
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings.
Sample analyzers, such as biochemical immunoassays, typically analyze analytes in serum, plasma, and other human body fluids with an analytical device. In a sample analysis apparatus including a plurality of reagent units in an analysis device, a user often dispenses reagents to different reagent units according to different use requirements. In the process, different reagent distribution modes can affect important evaluation indexes of departments such as the testing speed of the whole machine, TAT time (time for completing the test) and the like.
The current reagent dispensing manner is mainly established by a user according to long-term use experience, and the sample analysis device does not have a function of guiding reagent dispensing. With the occurrence of diversified customized demands of users, an increase in the number of interconnected reagent units, a gradual increase in the capacity of reagent bins, and the like, the demand for reagent dispensing guidance is increasing, and users prefer to be able to automatically give a required reagent dispensing manner by a sample analysis apparatus, for example, how to dispense a reagent when the test speed is high, how to dispense a reagent when the TAT time is shortest, and the like, without manually performing calculation and evaluation, or users must have long-term experience in using an instrument to perform dispensing.
The scheme of the invention is provided in order to reduce the scenes of manual reagent distribution to the maximum extent and ensure that the use effect of the distributed reagent meets the requirements to the maximum extent.
In the embodiment of the invention, a user can customize project information to be subjected to reagent distribution and target indexes to be achieved by reagent distribution according to actual requirements, then, the sample analysis equipment can calculate index data corresponding to each possible reagent distribution mode according to the project information and the target indexes by utilizing statistical data in the historical working process, then, a reagent distribution mode capable of achieving the required target indexes is determined according to the index data, and the reagent distribution mode is displayed to the user, so that a reagent distribution guidance scheme is provided for the user.
An embodiment of the present invention provides a sample analyzer, whose structural schematic diagram refers to fig. 1, and the sample analyzer includes an input device 10, an analysis device 20, a processor 30, and a display device 40. Wherein the analysis device 20 is connected to the processor 30 for analyzing a sample (such as blood, urine, etc.), the analysis device 20 comprises at least two reagent units S for providing reagents for sample detection.
Based on fig. 1, in a specific embodiment, the analysis device 20 comprises an analysis module 201, the analysis module 201 comprises at least two reagent units S, and the structural schematic diagram thereof is shown in fig. 2.
Based on fig. 1, in another specific embodiment, the analysis device 20 includes at least two analysis modules 201, wherein each analysis module 201 includes at least one reagent unit S, and the schematic structure thereof can be seen in fig. 3.
In practical applications, the reagent units S may be disk-shaped reagent trays, and when at least two reagent units S are included in one analysis module 201, the reagent units S may be distributed as shown in fig. 2; the reagent units S may also be at least two coaxially arranged, for example, one analysis module 201 includes two reagent units, and the two reagent units form a coaxial inner ring and an outer ring respectively to form a double-ring structure.
The input device 10 is connected with the processor 30 and is used for detecting project information and target indexes of reagent distribution input by a user; the item information includes item types, such as five items of hepatitis b, the item types correspond to reagent types, that is, for each detection item, the reagent required for the detection of the detection item corresponds to the item type, that is, the item type is determined, that is, the reagent type is determined. The target index is the use effect to be achieved by reagent distribution, and can comprise the shortest working time for completing all tests and/or the shortest testing time of average samples and the like.
The processor 30 is configured to determine sample information to be used from the statistical data according to the project information input by the user through the input device 10, determine a plurality of pre-selected reagent distribution modes according to the project information and the reagent unit S, calculate index data corresponding to each pre-selected reagent distribution mode according to the determined sample information and the project information, and determine a reagent distribution mode meeting a target index according to the index data to obtain a target reagent distribution mode. The statistical data may be historical data such as sample information of daily operation of the sample analysis device, for example, data such as the amount of samples detected by the sample analysis device, detection items of each sample, and the like, which are counted when the sample analysis device operates daily, and then stored in the memory as a data source for reagent distribution. The index data is data reflecting the reagent dispensing effect, and may include the working time for completing all tests and/or the average sample test time.
The display device 40 is connected to the processor 30 and displays the target reagent dispensing method obtained by the processor 30.
In a particular embodiment, the sample analysis device further comprises a memory for storing the statistical data. The processor 30 is further configured to first obtain data in a time period from the statistical data stored in the memory to obtain selected statistical data, then read source item information in the selected statistical data, and send the source item information to the display device 40 for displaying, for example, in a list form; at this time, the input device 10 is specifically configured to detect a first operation of the user to select item information from the source item information, and to use the selected item information as the item information input by the user according to the first operation. Wherein the source item information is all item information contained in the selected statistical data. When the processor 30 obtains data within a time period from the statistical data to obtain the selected statistical data, the processor 30 may obtain the data within a preset time period from the statistical data to obtain the selected statistical data, for example, the time 3 days before reagent distribution is determined as the preset time period, and the processor 30 may directly obtain the data within the preset time period from the statistical data to obtain the selected statistical data; or, the first instruction for selecting the time period input by the user through the input device 10 may be received first, and then the data in the selected time period may be acquired from the statistical data according to the first instruction to obtain the selected statistical data.
In a specific embodiment, when determining a plurality of pre-selection reagent distribution manners according to the item information and the reagent units S, the processor 30 may first determine a combination manner between the item type and the at least two reagent units S, and distribute each item type to the corresponding reagent unit according to the combination manner to obtain a plurality of pre-selection reagent distribution manners. For example, there are two reagent units S, which are respectively marked as M1 and M2; the item types entered by the user via input device 10 include A, B and C; in this case, the processor 30 determines that the combination of the reagent units and the item types may be as follows: m1 for A, M2 for B and C; m1 for A and B, M2 for C; ③ M1 for B and C, M2 for A. The processor 30 then assigns A, B and C to the corresponding M1 and M2 according to the three correspondences, resulting in three preselected reagent dispensing regimes. It should be noted that, the above-mentioned embodiments are only exemplified by three possible combinations, but are not intended to limit the present invention, and other allowable combinations may also be used in practical applications.
In a specific embodiment, when determining the sample information to be used from the statistical data according to the item information, the processor 30 may determine, from the statistical data, samples in the detection item that include the item type input by the user, then obtain the sample information of the samples, and determine the obtained sample information as the sample information to be used; the sample information may include the total number of samples and the detection order of the detection items corresponding to the item types in the samples, and the detection order may be determined by the detection order of the samples.
Based on this, when the processor 30 calculates the index data corresponding to each preselected reagent distribution manner according to the sample information and the project information, for each preselected reagent distribution manner, the test process of all samples is simulated from the first sample of the samples according to the sample information and the project information, then the detection start time of the first sample and the detection end time of the last sample are counted to obtain a first time and a second time, and the working time for completing all tests corresponding to each preselected reagent distribution manner is calculated according to the first time and the second time; specifically, for each preselected reagent dispensing pattern, processor 30 calculates the time difference between the first time and the second time and then takes the time difference as the corresponding working time for all tests to be completed. When the processor 30 calculates the average sample testing time corresponding to each preselected reagent distribution pattern according to the sample information and the project information, it may be that, for each preselected reagent distribution pattern, the testing process of all samples is simulated from the first sample of the samples according to the sample information and the project information, the detection start time and the detection end time of each sample are obtained, and then the average sample testing time of each preselected reagent distribution pattern is calculated according to the detection start time and the detection end time of each sample; specifically, for each pre-selected reagent dispensing pattern, the processor 30 calculates the testing time for each sample according to the start time and end time of the test for each sample, then calculates the sum of the testing times for all samples to obtain the total testing time, and then calculates the average testing time for each sample according to the total testing time and the total number of samples to obtain the average sample testing time.
When the testing process of all the samples is simulated from the first sample of the samples, the processor 30 is specifically configured to simulate, according to the sample information, the process of detecting the detection items of all the samples according to the detection order of the detection items corresponding to the item information, starting from the first sample of the samples.
In a specific embodiment, when determining the reagent distribution manner meeting the target index according to the index data, the processor 30 is specifically configured to determine the preselected reagent distribution manner with the shortest working time for completing all tests from the working times for completing all tests corresponding to all preselected reagent distribution manners, and determine the preselected reagent distribution manner with the shortest working time for completing all tests as the reagent distribution manner meeting the target index; and/or determining the preselected reagent distribution mode with the shortest average sample testing time from the average sample testing time corresponding to the preselected reagent distribution mode, and determining the preselected reagent distribution mode with the shortest average sample testing time as the reagent distribution mode meeting the target index.
In a specific embodiment, the display device 40 is specifically configured to display the distribution information of the target reagent distribution manner, and the distribution information may include the item type and/or the reagent type distributed on each reagent unit. Preferably, the allocation information may further include index data that satisfies the target index. For example, if the target index is the shortest average sample test time, the index data satisfying the target index is the average sample test time corresponding to the shortest average sample test time.
In the above embodiments, a selection interface of the target index may be provided for the user, and the user may select the reagent dispensing effect to be achieved according to actual needs. Specifically, the processor 30 is further configured to generate a destination index option, and send the destination index option to the display device 40 for display; in this case, the input device 10 is specifically configured to detect a second operation of selecting at least one target index from the target index options by the user, and to use the selected target index as the target index of reagent distribution input by the user according to the second operation.
Based on the sample analyzer of the above embodiment, an embodiment of the present invention further provides a reagent dispensing method, a flowchart of which can be seen in fig. 4, and the method may include the following steps:
step 101: project information and a destination index are received.
Item information and a target index of reagent dispensing input by a user through the input device 10 are received.
Step 102: sample information is determined.
After receiving the project information and the target index of reagent dispensing, the sample information to be used is determined from the statistical data stored by the sample analysis apparatus according to the project information.
Step 103: a plurality of preselected reagent dispensing regimes is determined.
After receiving the project information and the target index of reagent distribution, determining a plurality of preselected reagent distribution modes according to the project information and reagent units of the sample analysis equipment, wherein the number of the reagent units is at least two.
Step 104: and calculating index data.
After determining a plurality of preselected reagent distribution modes, calculating index data corresponding to each preselected reagent distribution mode according to the sample information and the project information.
Step 105: and determining a target reagent distribution mode.
And after calculating the index data corresponding to each pre-selected reagent distribution mode, determining the reagent distribution mode meeting the target index according to the index data to obtain the target reagent distribution mode.
Step 106: and displaying the target reagent distribution mode.
According to the sample analysis equipment and the reagent distribution method provided by the embodiment of the invention, possible preselected reagent distribution modes are determined according to project information input by a user, then, historical statistical data of the sample analysis equipment is utilized to simulate a sample test process for each preselected reagent distribution mode, index data corresponding to each preselected reagent distribution mode are calculated, then, the reagent distribution modes meeting target indexes are determined according to the index data, and the determined reagent distribution modes are displayed to the user. Therefore, the sample analysis equipment can provide a reagent distribution guidance scheme for a user, and the use effect of the distributed reagent meets the requirement of a required target index.
The following describes the embodiment of the present invention in further detail by taking an example in which the sample analyzer includes two reagent units (respectively labeled as M1 and M2), the item information required for reagent dispensing is eight items of infectious diseases, and the usage effect (i.e., target index) required to be achieved after reagent dispensing is the shortest time required to complete all tests. Eight infectious diseases include: treponema pallidum antibody (Anti-TP), hepatitis C antibody (Anti-HCV), AIDS virus (HIV), hepatitis B core antibody (Anti-HBc), hepatitis B e antibody (Anti-HBe), hepatitis B e antigen (HBeAg), hepatitis B surface antibody (Anti-HBs) and hepatitis B surface antigen (HBsAg).
The sample analysis device can provide a customized setting interface for a user, so that when reagent distribution is needed, the user can perform relevant information setting of the reagent distribution according to actual needs. Fig. 5 shows a setting interface for reagent dispensing, which may include configuration items such as statistical data and target indexes, and a user may switch to a corresponding configuration interface to set corresponding information as required. In practical application, the configuration interfaces corresponding to these configuration items may also be displayed in the same interface.
FIG. 6 is a flow chart of a reagent dispensing method according to an embodiment of the present invention, which may include the following steps, as shown in FIG. 6:
step 201: and acquiring a target index.
When dispensing the reagent, the user may input a first switching instruction through the input device 10, and the processor 30 switches the setting interface of reagent dispensing to the target index configuration interface according to the first switching instruction, and sends the interface to the display device 40 for displaying, and the display effect of the interface can be seen in fig. 3. The target indicator configuration interface generated by the processor 30 may include target indicator options, for example, the target indicator options include options of shortest working time for completing all tests, shortest average sample test time, and the like, and a check box is set for each target indicator option for the user to select. According to the configuration interface, the user may input a second operation instruction for selecting a target index from the target index options through the input device 40, and when the processor 30 receives the second operation instruction, at least one target index of reagent distribution is selected according to the second operation instruction. For example, in FIG. 5, the user may select the shortest work time to complete all tests and/or the shortest average sample test time. Here, the shortest working time for the user to select to complete all the tests is taken as an example.
Step 202: selected statistical data is obtained.
When dispensing the reagent, the user may input a second switching instruction through the input device 10, and the processor 30 switches the setting interface of reagent dispensing to the statistical data configuration interface according to the second switching instruction, and displays the setting interface, where the display effect is shown in fig. 7. On the configuration interface, a time period selection item may be displayed, and a user inputs a first instruction for the selected time period through the input device 10 according to the selection item, and the processor 30 may obtain data in the selected time period from the statistical data according to the first instruction to obtain the selected statistical data.
For example, as shown in fig. 7, the user may input the start time and the end time in the "start time" item and the "end time" item, respectively, and then click the "ok" button to select the time period; alternatively, the "start time" item and the "end time" item may be in the form of pull-down menus from which the user may select the time period. For example, if the time period of 9:00 in 7/month 1 of 2018 to 18:00 in 7/month 3 of 2018 is selected, the processor 30 may obtain statistical data of the time period of 9:00 in 7/month 1 of 2018 to 18:00 in 7/month 3 of 2018 from the statistical data of the sample analysis device to obtain the selected statistical data.
In practical applications, the sample analysis device may also be configured with a preset time period in advance, for example, the time of 3 days before reagent dispensing is determined as the preset time period, and the processor 30 may directly obtain data within the preset time period from the statistical data to obtain the selected statistical data.
In practical applications, the statistical data may be obtained by storing daily sample information of the sample analysis device during daily work.
Step 203: and acquiring project information.
After obtaining the selected statistical data, the processor 30 reads out the source item information in the selected statistical data, that is, reads out all item information included in the selected statistical data, where the item information may include an item type, and the item type corresponds to a reagent type; then, the processor 30 sends the source item information to the display device 40 for display, which may display each item type in the source item information in a form of a list or a matrix distribution, and may provide a corresponding check box for each item type, and the user may select the corresponding item type by selecting the check box, or may directly set each item type as a function key, and the user may select the item type by directly clicking the item type, and the display effect of the display effect may be seen in the item information configuration interface shown in fig. 8. At this time, the user may input a first operation command for selecting item information through the input device 40 according to the interface, and after receiving the first operation command, the processor 30 may select item information from the source item information according to the first operation command, for example, eight items of infectious diseases (Anti-TP, Anti-HCV, HIV, Anti-HBc, Anti-HBe, HBeAg, Anti-HBs, and HBsAg) are selected from fig. 8.
In one embodiment, the source item information may also be sent to the display device 40 in the form of a test package for display, so that when the user wants to select all item information of a certain test package, the item information can be quickly selected, and the display effect of the item information can be seen in the item information configuration interface shown in fig. 9, for example, three packages, i.e., the source item information includes four blood lipids, five immune packages and eight infectious diseases, and a corresponding check box is also provided for each package. At this time, the user may input a first operation command for selecting item information through the input device 40 according to the interface, and after receiving the first operation command, the processor 30 may select item information, such as eight infectious diseases, from the source item information according to the first operation command.
Step 204: sample information is determined.
After acquiring the item information and the selected statistical data, the processor 30 determines sample information to be used from the selected statistical data according to the item information. Specifically, for example, if the selected item information is eight items of infectious diseases, the processor 30 determines a sample including eight items of infectious diseases in the detection item from the samples included in the selected statistical data, that is, if any one of the eight items of infectious diseases is included in the detection item of the sample, the sample is considered to be a sample including eight items of infectious diseases in the detection item, then the sample information of the samples is obtained, and the obtained sample information is determined as the sample information to be used. The sample information may include the total number of samples and the detection order of the detection items belonging to eight infectious diseases in these samples. For example, there are 3 samples containing eight infectious diseases, the first sample contains Anti-TP and HIV, and the obtained detection sequence is Anti-TP → HIV; the second sample comprises Anti-TP, Anti-HCV and HIV, and the obtained detection sequence is HIV → Anti-TP → Anti-HCV; the third sample contained Anti-HBs; and the 3 samples also have a sequential detection order, so that the detection orders of the detection items of the samples can be spliced according to the detection order of the 3 samples to obtain the detection orders of all the detection items of the 3 samples: Anti-TP → HIV → HIV → Anti-TP → Anti-HCV → Anti-HBs.
Step 205: a preselected reagent dispensing pattern is determined.
After the processor 30 obtains the item information, it determines the combination manner between the item types in the item information and the reagent units, and then allocates each item type to a corresponding reagent unit according to the combination manner, so as to obtain a plurality of pre-selection reagent allocation manners.
For example, the type of acquired item is eight infectious diseases, and the processor 30 determines the combination of eight infectious diseases with M1 and M2, for example, two combinations as shown in table 1:
TABLE 1
At this time, the processor 30 assigns each item type to the corresponding reagent unit according to the combination shown in table 1, resulting in a first pre-selected reagent assignment pattern as shown in combination one and a second pre-selected reagent assignment pattern as shown in combination two. It should be noted that the two combinations are only described as an example, and are not intended to limit the present invention, and other possible combinations may be used in practical applications.
Step 206: the test procedure was simulated for all samples.
After the processor 30 determines a plurality of preselected agent dispensing profiles, for each preselected agent dispensing profile, simulating a test procedure for all samples from a first sample of the determined samples based on the sample information determined in step 204 and the eight acquired infectious diseases; the simulation process specifically comprises the following steps: based on the sample information, the process of detecting the detection items belonging to eight infectious diseases of all the samples is simulated according to the detection sequence of the detection items determined in step 204, starting from the first sample in the samples.
For example, processor 30 determines the first and second preselected reagent dispensing profiles described in step 205, and there are 10 samples determined to contain eight infectious diseases, each sample having a respective test order for eight infectious disease test items. At this time, for the first pre-selected reagent dispensing method, the processor 30 begins with the first sample, simulates the procedure of detecting the eight items of infectious disease in the first sample by the first sample, and then simulates the second sample and the third sample … … until the 10 samples are detected, according to the detection sequence of the eight items of infectious disease in the 10 samples. The same simulation was performed for the second pre-selected reagent dispensing regime.
Step 207: and calculating index data.
For each preselected reagent dispensing pattern, during the simulation of the sample testing, the processor 30 counts the testing start time of the first sample and the testing end time of the last sample to obtain the first time T1 and the second time T2, and calculates the corresponding working time for completing all tests according to T1 and T2. Specifically, the time difference between T1 and T2 is calculated, and the time difference is used as the corresponding working time for completing all tests, so that the corresponding index data is obtained.
For example, for the first pre-selected reagent dispensing regime described above, with T1 being 9:00 and T2 being 13:00, the working time to complete all tests is 4 hours. For the second preselected reagent dispensing regime described above, T1-13: 30 and T2-16: 00, the working time to complete all tests was 2.5 hours.
Step 208: and determining a target reagent distribution mode.
After the processor 30 calculates the index data corresponding to each pre-selected reagent distribution mode, the pre-selected reagent distribution mode with the shortest working time for completing all tests is determined from the working time for completing all tests corresponding to all pre-selected reagent distribution modes, and the pre-selected reagent distribution mode with the shortest working time for completing all tests is determined as the reagent distribution mode meeting the target index, so as to obtain the target reagent distribution mode.
For example, the working time for the first pre-selected reagent dispensing format to complete all tests is 4 hours, the working time for the second pre-selected reagent dispensing format to complete all tests is 2.5 hours, and comparing the two times shows that the working time for the second pre-selected reagent dispensing format to complete all tests is the shortest, and the second pre-selected reagent dispensing format is determined as the target reagent dispensing format.
Step 209: the allocation information is displayed.
After the processor 30 determines the target reagent dispensing method, the target reagent dispensing method is transmitted to the display device 40 for display. Specifically, the distribution information of the target reagent distribution pattern is displayed on the display device 40, and the distribution information includes the item type and/or the reagent type distributed on each reagent unit.
For example, if the processor 30 determines the second pre-selected reagent dispensing method as the target reagent dispensing method, the dispensing information shown in the second combination method in table 1 can be displayed on the display device 40, and the display effect can be seen in fig. 10. Alternatively, the type of reagent dispensed on M1 and M2, respectively, may be indicated
In practical applications, the allocation information may further include index data satisfying the target index. For example, if the target reagent dispensing pattern is the second preliminary reagent dispensing pattern described above, and the operating time for completing all tests in the second preliminary reagent dispensing pattern is 2.5 hours, 2.5 hours may also be displayed in the dispensing information, and the display device 40 may display the operating time for completing all tests as ": 2.5 hours ".
The reagent dispensing method provided by this embodiment provides a setting interface for reagent dispensing for a user, and the user can select a use effect to be achieved after reagent dispensing on the setting interface according to an actual requirement, for example, the working time for completing all tests is shortest, and meanwhile, the statistical data of a concerned time period is selected, at this time, the sample analysis device can provide a selection interface of a project type for the user according to the selected statistical data, and the user can select eight infectious diseases required for reagent dispensing according to the selection interface; after the setting is completed, for each possible reagent distribution mode, the sample analysis equipment can simulate the process of detecting eight infectious diseases of all samples according to the sample information in the selected statistical data to obtain the working time for completing all tests corresponding to each possible reagent distribution mode, then the reagent distribution mode with the shortest working time for completing all tests is determined from the working time and displayed to a user, so that a reagent distribution guidance scheme is provided for the user, and the use effect after reagent distribution can meet the required requirements.
The above embodiment takes the objective index as the shortest working time for completing all tests as an example, wherein the objective index may also be the shortest average sample test time, and the corresponding index data is the average sample test time. At this time, when calculating the index data (executing step 207), the processor 30 obtains the detection start time and the detection end time of each sample, and calculates the average sample testing time of each pre-selected reagent dispensing pattern according to the detection start time and the detection end time of each sample; specifically, for each pre-selected reagent dispensing pattern, the processor 30 calculates the testing time for each sample based on the start time and end time of the test for each sample, then calculates the sum of the testing times for all samples to obtain the total testing time, and then calculates the average testing time for each sample based on the total testing time and the total number of samples to obtain the average sample testing time. Next, when determining the target reagent distribution pattern (step 208), the processor 30 determines the preselected reagent distribution pattern with the shortest average sample testing time from the average sample testing times corresponding to all the preselected reagent distribution patterns, and determines the preselected reagent distribution pattern with the shortest average sample testing time as the reagent distribution pattern satisfying the target index. Finally, the reagent distribution mode is displayed to a user. Similarly, the average sample test time at which the average sample test time is the shortest can also be displayed.
The scheme provided by the invention can be applied to the following scenes:
(1) a single reagent unit is upgraded to an interconnected plurality of reagent units.
The application scenario may be: firstly, the original sample analysis equipment only comprises one analysis module, the analysis module only comprises one reagent unit, and the analysis module is upgraded to an analysis module comprising a plurality of reagent units; secondly, the original sample analysis equipment only comprises one analysis module, and the sample analysis equipment is upgraded into sample analysis equipment with a plurality of interconnected analysis modules, wherein each analysis module comprises at least one reagent unit. In this application scenario, since the user does not use the upgraded sample analysis device and does not have experience in reagent dispensing, reagent dispensing cannot be completed well, and the optimum use effect after dispensing cannot be ensured. By adopting the scheme of the invention, the sample analysis equipment can provide a reagent distribution guidance function for a user, and can effectively solve the problem of reagent distribution for the user.
It will be appreciated that the protocol of the present invention may be used to direct reagent dispensing whenever a sample analysis device is cascaded with a new reagent unit.
(2) The user wishes to adjust the dispensing of the reagent.
After the sample analysis device comprising a plurality of reagent units is used for a period of time, the initial reagent distribution mode may not meet the current requirements, or the use condition of a user changes, at this time, the scheme of the invention can effectively help the user to adjust the reagent distribution, and the continuous optimization of the reagent distribution is realized through historical statistical data.
Reference is made herein to various exemplary embodiments. However, those skilled in the art will recognize that changes and modifications may be made to the exemplary embodiments without departing from the scope hereof. For example, the various operational steps, as well as the components used to perform the operational steps, may be implemented in differing ways depending upon the particular application or consideration of any number of cost functions associated with operation of the system (e.g., one or more steps may be deleted, modified or incorporated into other steps).
Additionally, as will be appreciated by one skilled in the art, the principles herein may be reflected in a computer program product on a computer readable storage medium, which is pre-loaded with computer readable program code. Any tangible, non-transitory computer-readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, Blu Ray disks, etc.), flash memory, and/or the like. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including means for implementing the function specified. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified.
While the principles herein have been illustrated in various embodiments, many modifications of structure, arrangement, proportions, elements, materials, and components particularly adapted to specific environments and operative requirements may be employed without departing from the principles and scope of the present disclosure. The above modifications and other changes or modifications are intended to be included within the scope of this document.
The foregoing detailed description has been described with reference to various embodiments. However, one skilled in the art will recognize that various modifications and changes may be made without departing from the scope of the present disclosure. Accordingly, the disclosure is to be considered in an illustrative and not a restrictive sense, and all such modifications are intended to be included within the scope thereof. Also, advantages, other advantages, and solutions to problems have been described above with regard to various embodiments. However, the benefits, advantages, solutions to problems, and any element(s) that may cause any element(s) to occur or become more pronounced are not to be construed as a critical, required, or essential feature or element of any or all the claims. As used herein, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, system, article, or apparatus. Furthermore, the term "coupled," and any other variation thereof, as used herein, refers to a physical connection, an electrical connection, a magnetic connection, an optical connection, a communicative connection, a functional connection, and/or any other connection.
Those skilled in the art will recognize that many changes may be made to the details of the above-described embodiments without departing from the underlying principles of the invention. Accordingly, the scope of the invention should be determined from the following claims.
Claims (38)
- A sample analysis apparatus, comprising: the device comprises an input device, an analysis device, a processor and a display device;the analysis device is connected with the processor and is used for analyzing the sample, and the analysis device comprises at least two reagent units which are used for providing reagents for sample detection;the input device is connected with the processor and is used for detecting project information input by a user and a target index of reagent distribution;the processor is used for determining sample information to be used from statistical data according to the project information, determining a plurality of preselected reagent distribution modes according to the project information and the reagent units, calculating index data corresponding to each preselected reagent distribution mode according to the sample information and the project information, determining a reagent distribution mode meeting the target index according to the index data, and obtaining a target reagent distribution mode;the display device is connected with the processor and is used for displaying the target reagent distribution mode.
- The sample analysis apparatus of claim 1, wherein the analysis device comprises an analysis module comprising at least two of the reagent units.
- The sample analysis apparatus of claim 1, wherein the analysis device comprises at least two analysis modules, each of the analysis modules comprising at least one of the reagent units.
- The sample analysis device of claim 1, wherein the processor is further configured to obtain data from the statistical data over a period of time, obtain selected statistical data, read source item information in the selected statistical data, and send the source item information to the display device for display;the input device is specifically used for detecting a first operation of selecting item information from the source item information by a user, and taking the selected item information as the item information input by the user according to the first operation.
- The sample analysis device of claim 4, wherein the processor is specifically configured to obtain data from the statistical data over a predetermined time period to obtain selected statistical data; or the processor is specifically configured to receive a first instruction for selecting a time period, which is input by a user through an input device, and acquire data in the selected time period from statistical data according to the first instruction to obtain selected statistical data.
- The sample analysis device of claim 1, wherein the item information comprises an item type, the item type corresponding to a reagent type.
- The sample analysis device of claim 6, wherein the processor, when determining a plurality of pre-selected reagent dispensing formats based on the project information and the reagent units, is specifically configured to determine a combination format between the project type and the reagent units, and to dispense each project type to a corresponding reagent unit based on the combination format to obtain a plurality of pre-selected reagent dispensing formats.
- The sample analysis device according to claim 6, wherein the processor, when determining the sample information to be used from the statistical data according to the item information, is specifically configured to determine a sample containing the item type in the detection item from the statistical data, obtain the sample information of the sample, and determine the obtained sample information as the sample information to be used;wherein the sample information includes a total number of the samples and a detection order of detection items corresponding to the item types in the samples, the detection order being decided by the detection order of the samples.
- The sample analysis apparatus of claim 8, wherein the objective index comprises a shortest working time to complete all tests and/or a shortest average sample test time;the indicator data includes the work time to complete all tests and/or the average sample test time.
- The sample analyzer of claim 9, wherein the processor, when calculating the indicator data corresponding to each pre-selected reagent dispensing format based on the sample information and the project information, is specifically configured to, for each pre-selected reagent dispensing format, simulate a test procedure for all samples from a first sample of the samples based on the sample information and the project information, count a detection start time of the first sample and a detection end time of a last sample to obtain a first time and a second time, and calculate a working time for completing all tests corresponding to each pre-selected reagent dispensing format based on the first time and the second time;and/or the presence of a gas in the gas,the processor is specifically configured to, for each preselected reagent dispensing pattern, simulate a testing process for all samples from a first one of the samples based on the sample information and the item information, obtain a start time and an end time for testing for each sample, and calculate an average sample testing time for each preselected reagent dispensing pattern based on the start time and the end time for testing for each sample.
- The sample analysis device of claim 10, wherein the processor is specifically configured to simulate, based on the sample information, a process of detecting each of the detection items by all samples in a detection order of the detection items, starting with a first one of the samples.
- The sample analysis apparatus of claim 10, wherein the processor is specifically configured to calculate a time difference between the first time and the second time for each preselected reagent dispensing pattern, and to use the time difference as a corresponding working time for completing all tests.
- The sample analysis device of claim 10, wherein the processor is specifically configured to calculate a test time for each sample based on a start time and an end time of detection for each sample, calculate a sum of the test times for all samples to obtain a total test time, and calculate an average test time for each sample based on the total test time and a total number of samples to obtain an average sample test time.
- The sample analysis apparatus according to claim 9, wherein the processor, when determining the reagent distribution pattern satisfying the target index according to the index data, is specifically configured to determine a preselected reagent distribution pattern having a shortest operating time for completing all tests from the operating times for completing all tests corresponding to all preselected reagent distribution patterns, and determine the preselected reagent distribution pattern having the shortest operating time for completing all tests as the reagent distribution pattern satisfying the target index;and/or the presence of a gas in the gas,the processor is specifically configured to determine a preselected reagent distribution pattern with the shortest average sample testing time from the average sample testing times corresponding to all the preselected reagent distribution patterns, and determine the preselected reagent distribution pattern with the shortest average sample testing time as the reagent distribution pattern meeting the target index.
- The sample analysis device according to any one of claims 6 to 14, wherein the display means is specifically configured to display assignment information of the target reagent assignment pattern, the assignment information including item types and/or reagent types assigned on each reagent unit.
- The sample analysis apparatus of claim 15, wherein the allocation information further comprises metric data that satisfies the objective metric.
- The sample analysis apparatus of claim 1, wherein the processor is further configured to generate a destination index option and send the destination index option to the display device for display;the input device is specifically used for detecting a second operation of selecting at least one target index from the target index options by the user, and taking the selected target index as the target index of reagent distribution input by the user according to the second operation.
- The sample analysis device of claim 1, further comprising a memory for storing sample information for daily operation of the sample analysis device to obtain the statistical data.
- A reagent dispensing method, comprising:acquiring project information and reagent distribution target indexes input by a user through an input device;determining sample information to be used from statistical data according to the project information;determining a plurality of preselected reagent distribution modes according to the project information and reagent units of the sample analysis equipment, wherein the number of the reagent units is at least two;calculating index data corresponding to each pre-selected reagent distribution mode according to the sample information and the project information;determining a reagent distribution mode meeting the target index according to the index data to obtain a target reagent distribution mode;and displaying the target reagent distribution mode.
- The method of claim 19, wherein prior to said receiving item information entered by a user via an input device, the method further comprises:acquiring data in a time period from the statistical data to obtain selected statistical data;reading source item information in the selected statistical data;and sending the source item information to a display device for displaying.
- The method of claim 20, wherein receiving item information input by a user via an input device comprises:receiving a first operation instruction which is input by a user through the input device and is used for selecting item information;and selecting item information from the source item information according to the first operation instruction.
- The method of claim 20, wherein said obtaining data from said statistical data over a period of time to obtain selected statistical data comprises:and acquiring data in a preset time period from the statistical data to obtain selected statistical data.
- The method of claim 20, wherein said obtaining data from said statistical data over a period of time to obtain selected statistical data comprises:receiving a first instruction for a selected time period input by a user through the input device;and acquiring data in a selected time period from the statistical data according to the first instruction to obtain selected statistical data.
- The method of claim 19, wherein the item information includes an item type, the item type corresponding to a reagent type.
- The method of claim 24, wherein said determining a plurality of preselected reagent dispensing profiles from said project information and a reagent unit of a sample analyzer comprises:determining a combination between the item type and the reagent unit;and distributing each item type to a corresponding reagent unit according to the combination mode to obtain a plurality of pre-selection reagent distribution modes.
- The method of claim 24, wherein determining sample information to be used from statistical data based on the project information comprises:determining a sample containing the item type in the detection item from the statistical data;acquiring sample information of the sample, and determining the acquired sample information as sample information to be used, wherein the sample information comprises the total number of the samples and the detection sequence of detection items corresponding to the item types in the samples, and the detection sequence is determined by the detection sequence of the samples.
- The method of claim 26, wherein the objective metrics include shortest work time to complete all tests and/or shortest average sample test time;the indicator data includes the work time to complete all tests and/or the average sample test time.
- The method of claim 27, wherein said calculating indicator data corresponding to each preselected reagent dispense pattern based on said sample information and said project information comprises:for each preselected reagent dispensing regime, simulating a test run for all samples from a first one of the samples based on the sample information and the project information;counting the detection starting time of a first sample and the detection ending time of a last sample to obtain a first time and a second time, and calculating the working time for completing all tests corresponding to each preselected reagent distribution mode according to the first time and the second time; and/or the presence of a gas in the gas,the assay start time and the assay end time for each sample are obtained and the average sample test time for each preselected reagent distribution pattern is calculated from the assay start time and the assay end time for each sample.
- The method of claim 28, wherein simulating a test procedure for all samples from a first one of the samples based on the sample information and the project information comprises:and simulating the process of detecting the respective detection items of all the samples according to the detection sequence of the detection items from the first sample in the samples according to the sample information.
- The method of claim 28, wherein said calculating a working time for completion of all tests for each preselected reagent dispensing pattern based on said first time and said second time comprises:and calculating the time difference between the first time and the second time for each preselected reagent distribution mode, and taking the time difference as the corresponding working time for completing all tests.
- The method of claim 28, wherein calculating the average sample test time for each preselected reagent dispensing pattern based on the assay start time and the assay end time for each sample comprises:calculating the test time of each sample according to the detection start time and the detection end time of each sample for each preselected reagent distribution mode;calculating the sum of the test time of all samples to obtain the total test time;and calculating the average testing time of each sample according to the total testing time and the total number of the samples to obtain the average sample testing time.
- The method of claim 27, wherein said determining a reagent distribution pattern that satisfies said target criteria based on said criteria data comprises:determining the preselected reagent distribution mode with the shortest working time for completing all tests from the working time for completing all tests corresponding to all preselected reagent distribution modes, and determining the preselected reagent distribution mode with the shortest working time for completing all tests as the reagent distribution mode meeting the target index;and/or the presence of a gas in the gas,and determining the preselected reagent distribution mode with the shortest average sample testing time from the average sample testing time corresponding to all the preselected reagent distribution modes, and determining the preselected reagent distribution mode with the shortest average sample testing time as the reagent distribution mode meeting the target index.
- The method of any one of claims 24 to 32, wherein displaying the target reagent distribution pattern comprises:and displaying distribution information of the target reagent distribution mode, wherein the distribution information comprises item types and/or reagent types distributed on each reagent unit.
- The method of claim 33, wherein the allocation information further includes metric data that satisfies the objective metric.
- The method of claim 19, wherein prior to receiving the user input of the indicator of the purpose of the reagent dispense via the input device, the method further comprises:generating a target index option;and sending the target index option to a display device for display.
- The method of claim 35, wherein receiving a user input of a destination indicator for reagent dispensing via an input device comprises:receiving a second operation instruction which is input by the user through the input device and is used for selecting a target index from the target index options;at least one target index of reagent distribution is selected according to the second operation instruction.
- The method of claim 19, wherein the method further comprises:and storing the sample information of the daily work of the sample analysis equipment to obtain the statistical data.
- A computer-readable storage medium, characterized by comprising a program executable by a processor to implement the method of any one of claims 19 to 37.
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