CN113015908B - Sample analysis device and reagent distribution method - Google Patents
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- CN113015908B CN113015908B CN201980075438.7A CN201980075438A CN113015908B CN 113015908 B CN113015908 B CN 113015908B CN 201980075438 A CN201980075438 A CN 201980075438A CN 113015908 B CN113015908 B CN 113015908B
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- 239000003153 chemical reaction reagent Substances 0.000 title claims abstract description 314
- 238000009826 distribution Methods 0.000 title claims abstract description 135
- 238000004458 analytical method Methods 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000012360 testing method Methods 0.000 claims description 116
- 238000001514 detection method Methods 0.000 claims description 74
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- 238000003860 storage Methods 0.000 claims description 5
- 230000002354 daily effect Effects 0.000 claims description 3
- 230000003203 everyday effect Effects 0.000 claims description 3
- 238000011022 operating instruction Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 16
- 208000035473 Communicable disease Diseases 0.000 description 20
- 208000015181 infectious disease Diseases 0.000 description 10
- 230000006870 function Effects 0.000 description 9
- 230000008901 benefit Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 208000006454 hepatitis Diseases 0.000 description 6
- 231100000283 hepatitis Toxicity 0.000 description 6
- 238000012986 modification Methods 0.000 description 6
- 230000004048 modification Effects 0.000 description 6
- 241000725303 Human immunodeficiency virus Species 0.000 description 5
- 238000004590 computer program Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 210000004369 blood Anatomy 0.000 description 3
- 239000008280 blood Substances 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 239000000427 antigen Substances 0.000 description 2
- 102000036639 antigens Human genes 0.000 description 2
- 108091007433 antigens Proteins 0.000 description 2
- 210000001124 body fluid Anatomy 0.000 description 2
- 239000010839 body fluid Substances 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 241000589884 Treponema pallidum Species 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000003759 clinical diagnosis Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 208000002672 hepatitis B Diseases 0.000 description 1
- 238000003018 immunoassay Methods 0.000 description 1
- 238000000338 in vitro Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
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Abstract
A sample analysis apparatus and a reagent dispensing method, the reagent dispensing method comprising: acquiring project information input by a user through an input device (10) and a target index of reagent distribution; 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 preselected reagent distribution mode according to the sample information and the item information; and determining the 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 the historical statistical data, so that a guiding scheme for reagent distribution is provided for a user, and the use effect of the dispensed reagent reaches the required requirement.
Description
Technical Field
The invention relates to the technical field of medical instruments, in particular to sample analysis equipment and a reagent distribution method.
Background
The in vitro diagnosis technology can obtain clinical diagnosis information by detecting samples such as blood, body fluid, tissue and the like of a human body outside the human body, and provides a basis for diagnosis of diseases and judgment of body functions. Some of the sample analyzers, such as biochemical analyzers, immune analyzers and the like, can realize simultaneous reaction and detection of a plurality of samples and a plurality of projects, have the advantages of high automation degree, high measurement speed, accurate measurement results and the like, and are widely applied to clinical examination. In the process of analyzing a sample, it is generally necessary to mix a sample to be tested with a corresponding reagent according to a test item, and thus it is necessary to provide the sample analyzer with a required reagent. For a sample analyzer having 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 have direct influence on the test speed, the working time and the like of the sample analyzer.
Currently, the dispensing mode of the reagent is mainly determined by the user, which requires long-time use experience of the instrument by the user, and the dispensing of the reagent cannot be well completed for the user without use experience.
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 scheme.
According to a first aspect, in one embodiment there is provided a sample separation apparatus comprising: input means, analysis means, processor and display means;
the analysis device is connected with the processor and used for analyzing a sample, and comprises at least two reagent units, wherein the reagent units 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 target indexes of reagent distribution;
the processor is used for determining sample information to be used from statistical data according to the item information, determining a plurality of preselected reagent distribution modes according to the item information and the reagent unit, calculating index data corresponding to each preselected reagent distribution mode according to the sample information and the item information, and determining a reagent distribution mode meeting the target index according to the index data to obtain a target reagent distribution mode;
The display device is connected with the processor and used for displaying the target reagent distribution mode.
According to a second aspect, there is provided in one embodiment a method of dispensing a reagent comprising:
receiving project information and a target index of reagent distribution input by a user through an input device;
determining sample information to be used from statistical data according to the item information;
determining a plurality of preselected reagent distribution modes according to the project information and reagent units of sample analysis equipment, wherein the number of the reagent units is at least two;
calculating index data corresponding to each preselected reagent distribution mode according to the sample information and the item 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 distribution mode of the target reagent.
According to the sample analysis device and the reagent distribution method of the above embodiments, after a user inputs project information and a target index of reagent distribution, the sample analysis device can determine a possible pre-selected reagent distribution mode according to the project information, then calculate index data corresponding to each of the plurality of pre-selected reagent distribution modes by using historical statistics, 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 guiding scheme for reagent distribution, and simultaneously, the using effect of the distributed reagent meets the requirement of a target index.
Drawings
Fig. 1 is a schematic structural diagram of a sample analysis device according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a sample analyzer according to an embodiment of the present invention;
FIG. 3 is a schematic view of a sample analyzer according to another embodiment of the present invention;
FIG. 4 is a flow chart of a method for dispensing a reagent according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a reagent dispensing interface according to an embodiment of the present invention;
FIG. 6 is a flow chart of a method of dispensing a reagent in accordance with one embodiment of the present invention;
FIG. 7 is a schematic diagram of a statistics configuration interface in accordance with an embodiment of the present invention;
FIG. 8 is a schematic diagram of a project information configuration interface according to an embodiment of the invention;
FIG. 9 is a schematic diagram of another project information configuration interface according to an embodiment of the invention;
FIG. 10 is a diagram illustrating an allocation information display interface according to an embodiment of the present invention.
Detailed Description
The invention will be described in further detail below with reference to the drawings by means of specific embodiments.
Sample analyzers, such as biochemical immunoassays, typically analyze analytes in serum, plasma, and other human body fluids by an analysis device. For a sample analysis device comprising a plurality of reagent units in an analysis apparatus, a user often dispenses reagents to different reagent units according to different use requirements. In this process, different reagent distribution modes can affect the test speed of the whole machine, TAT time (time for completing the test) and other important assessment indexes of departments.
The current reagent dispensing mode is mainly formulated by users according to long-term use experience, and the sample analysis equipment does not have the function of guiding reagent dispensing. With the diversified demands of the users, the increasing number of interconnected reagent units, the increasing capacity of the reagent chambers, etc., the demands for reagent distribution guidance are continuously increased, and the users more hope to automatically give the required reagent distribution modes by the sample analysis device, for example, how to distribute the reagent when the test speed is high, how to distribute the reagent when the TAT time is shortest, etc., without the need of manually performing calculation and evaluation, or the users have to have long-time instrument use experience to perform distribution.
The scheme of the invention is provided for reducing the manual reagent dispensing scene to the maximum extent, and simultaneously ensuring that the use effect of the dispensed reagent meets the requirement to the maximum extent.
In the embodiment of the invention, the user can customize the project information to be subjected to reagent distribution and the target index to be achieved by the reagent distribution according to the actual demands, then the sample analysis equipment can calculate index data corresponding to each possible reagent distribution mode by utilizing the statistical data in the historical working process according to the project information and the target index, then determine a reagent distribution mode capable of achieving the required target index according to the index data, and display the reagent distribution mode to the user so as to provide a guiding scheme for reagent distribution for the user.
An embodiment of the present invention provides a sample analysis apparatus, the structure of which is schematically shown in 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 analyzing device 20 is connected to the processor 30 for analyzing a sample, such as blood, urine, etc., the analyzing 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, which analysis module 201 comprises at least two reagent units S, the schematic structure of which is shown in fig. 2.
In another specific embodiment, based on fig. 1, the analysis device 20 comprises at least two analysis modules 201, wherein each analysis module 201 comprises at least one reagent unit S, the schematic structure of which can be seen in fig. 3.
In practical applications, the reagent units S may be disk-shaped reagent disks, 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, which respectively form a coaxial inner ring and an outer ring, to form a double-ring structure.
The input device 10 is connected with the processor 30 and is used for detecting project information input by a user and target indexes of reagent distribution; the item information includes item types, such as five items of hepatitis B, which correspond to the types of reagents, namely, for each detection item, the required reagents for the detection of the detection item are corresponding, and the item types, namely, the reagent types, are determined. The target index is the use effect to be achieved by the reagent distribution, and can comprise the shortest working time for completing all the tests and/or the shortest average sample testing time.
The processor 30 is configured to determine sample information to be used from the statistical data according to item information input by a user through the input device 10, determine a plurality of pre-selected reagent distribution modes according to the item 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 item information, and determine a reagent distribution mode meeting a target index according to the index data, thereby obtaining a target reagent distribution mode. The statistical data may be historical data such as sample information of the sample analysis device working every day, for example, the sample analysis device counts the detected sample amount, the detected item of each sample and the like when working every day, and then stores the data in a memory as a data source of reagent distribution. The index data is data for reflecting the reagent dispensing effect, and may include the working time for completing all the tests and/or the average sample testing time.
The display device 40 is connected to the processor 30 and is used for displaying the target reagent distribution mode obtained by the processor 30.
In a specific embodiment, the sample analysis device further comprises a memory for storing statistical data. The processor 30 is further configured to obtain data in a period of time from the statistics stored in the memory, obtain selected statistics, then read source item information in the selected statistics, and send the source item information to the display device 40 for display, for example, in a list form; at this time, the input device 10 is specifically configured to detect a first operation of selecting item information from the source item information by a user, and to use the selected item information as item information input by the user according to the first operation. The source item information is all item information contained in the selected statistical data. When the processor 30 obtains the selected statistical data from the statistical data in a time period, the data in a preset time period may be obtained from the statistical data to obtain the selected statistical data, for example, the time 3 days before reagent is dispensed is determined to be a preset time period, and the processor 30 may directly obtain the data in the preset time period from the statistical data to obtain the selected statistical data; the first instruction for the selected time period input by the user through the input device 10 may be received, and then the data in the selected time period may be obtained from the statistics data according to the first instruction, so as to obtain the selected statistics data.
In a specific embodiment, when determining a plurality of pre-selected reagent dispensing modes according to the project information and the reagent units S, the processor 30 may determine a combination mode between the project type and the at least two reagent units S, and dispense each project type to a corresponding reagent unit according to the combination mode, so as to obtain a plurality of pre-selected reagent dispensing modes. For example, there are two reagent units S, denoted M1 and M2, respectively; the item types input by the user through the input device 10 include A, B and C; at this time, the processor 30 determines that the combination of the reagent unit and the item type may be three kinds as follows: (1) m1 corresponds to A, M2 corresponds to B and C; (2) m1 corresponds to A and B, and M2 corresponds to C; (3) m1 corresponds to B and C, and M2 corresponds to A. Processor 30 then assigns A, B and C to the corresponding M1 and M2 in these three correspondence relationships, resulting in three pre-selected reagent assignments. It should be noted that these three possible combinations are merely illustrative, but are not intended to limit the present invention, and other combinations are possible in practical application.
In a specific embodiment, when determining the sample information to be used from the statistics data according to the item information, the processor 30 may determine samples including the item type input by the user in the detected item from the statistics data, then acquire the sample information of the samples, and determine the acquired sample information as the sample information to be used; the sample information may include a total number of samples and a detection order of detection items corresponding to the item types among the samples, and the detection order may be determined by the detection order of the samples.
Based on this, when calculating the index data corresponding to each pre-selected reagent distribution mode according to the sample information and the item information, the processor 30 may simulate the test process of all samples from the first sample among the samples according to the sample information and the item information, then count the detection start time of the first sample and the detection end time of the last sample to obtain a first time and a second time, and calculate the working time for completing all the tests corresponding to each pre-selected reagent distribution mode according to the first time and the second time; specifically, for each preselected reagent dispensing regimen, 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 to complete all tests. When calculating the average sample test time corresponding to each pre-selected reagent dispensing mode according to the sample information and the project information, the processor 30 may start to simulate the test process of all samples from the first sample of the samples according to the sample information and the project information, obtain the detection start time and the detection end time of each sample, and then calculate the average sample test time of each pre-selected reagent dispensing mode according to the detection start time and the detection end time of each sample; specifically, for each pre-selected reagent dispensing mode, the processor 30 calculates the test time of each sample according to the test start time and the test end time of each sample, calculates the sum of the test times of all samples to obtain the total test time, and calculates the average test time of each sample according to the total test time and the total number of the samples to obtain the average sample test time.
The processor 30 is specifically configured to simulate, when a test procedure of all samples is started from a first sample among the samples, a procedure of all samples for detecting the respective detection items according to a detection sequence of the detection items corresponding to the item information, from the first sample among the samples according to the sample information.
In a specific embodiment, when determining, according to the index data, a reagent dispensing mode that meets the target index, the processor 30 is specifically configured to determine, from all the preselected reagent dispensing modes, corresponding to the working times for completing all the tests, a preselected reagent dispensing mode that has a shortest working time for completing all the tests, and determine, as the reagent dispensing mode that meets the target index, the preselected reagent dispensing mode that has a shortest working time for completing all the tests; and/or determining a preselected reagent distribution mode with the shortest average sample test time from the average sample test time corresponding to the preselected reagent distribution mode, and determining the preselected reagent distribution mode with the shortest average sample test time as the reagent distribution mode meeting the target index.
In a specific embodiment, the display device 40 is specifically configured to display the dispensing information of the dispensing mode of the target reagent, where the dispensing information may include the type of item and/or the type of reagent dispensed on each reagent unit. Preferably, the allocation information may further include index data satisfying the target index. For example, if the target index is that the average sample test time is shortest, 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 for the target index may be provided for the user, and the user selects the reagent dispensing effect to be achieved according to the 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; at this time, the input device 10 is specifically configured to detect a second operation of selecting at least one target from the target options by the user, and to use the selected target as the target of the reagent dispensing input by the user according to the second operation.
Based on the sample analyzer of the above embodiment, the embodiment of the present invention further provides a reagent dispensing method, and a flowchart thereof may refer to fig. 4, and the method may include the following steps:
step 101: project information and destination indicators 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 distribution, sample information to be used is determined from the statistical data stored in the sample analysis device according to the project information.
Step 103: a plurality of preselected reagent dispensing patterns is determined.
After receiving the project information and the target index of reagent distribution, a plurality of preselected reagent distribution modes are determined 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: index data is calculated.
After a plurality of preselected reagent dispensing modes are determined, index data corresponding to each preselected reagent dispensing mode is calculated according to the sample information and the project information.
Step 105: and determining a target reagent distribution mode.
After calculating index data corresponding to each preselected reagent distribution mode, determining a reagent distribution mode meeting a target index according to the index data to obtain a target reagent distribution mode.
Step 106: displaying the dispensing mode of the target reagent.
According to the sample analysis equipment and the reagent distribution method provided by the embodiment of the invention, the possible preselected reagent distribution modes are determined according to the project information input by the user, then the historical statistical data of the sample analysis equipment is utilized to simulate the sample test process of each preselected reagent distribution mode, the index data corresponding to each preselected reagent distribution mode is calculated, then the reagent distribution mode meeting the target index is determined according to the index data, and the determined reagent distribution mode is displayed to the user. Therefore, the sample analysis equipment can provide a guiding scheme for reagent distribution for a user, and simultaneously, the using effect of the reagent after the reagent distribution meets the requirement of a required target index.
The following describes the solution of the present invention in further detail by taking the sample analysis device comprising two reagent units (denoted as M1 and M2 respectively), eight items of information about items to be dispensed as infectious diseases, and the shortest working time for completing all tests as the effect (i.e. target index) to be achieved after the dispensing of the reagents. Eight of these infections include: treponema pallidum antibodies (Anti-TP), hepatitis c antibodies (Anti-HCV), human Immunodeficiency Virus (HIV), hepatitis b core antibodies (Anti-HBc), hepatitis b e antibodies (Anti-HBe), hepatitis b e antigen (HBeAg), hepatitis b surface antibodies (Anti-HBs), hepatitis b surface antigen (HBsAg).
The sample analysis device can provide a customized setting interface for a user, so that the user can set relevant information of reagent distribution according to actual requirements when the reagent distribution is required. FIG. 5 shows a reagent dispensing configuration interface, which may include configuration items such as statistics and destination indexes, and a user may switch to a corresponding configuration interface to perform setting of corresponding information when using the interface according to needs. In practical application, the configuration interfaces corresponding to the configuration items may be displayed in the same interface.
FIG. 6 is a flow chart of a reagent dispensing method according to one embodiment of the present invention, as shown in FIG. 6, which may include the steps of:
step 201: and obtaining the target index.
When the reagent is dispensed, the user may input a first switching command through the input device 10, and the processor 30 switches the setting interface of the reagent dispensing to the target index configuration interface according to the first switching command, and sends the interface to the display device 40 for displaying, and the display effect can be seen in fig. 3. The destination index configuration interface generated by the processor 30 may include destination index options, for example, including the option that the working time for completing all the tests is shortest, the average sample test time is shortest, and the like, and a check box is set for each destination index option for the user to select. According to the configuration interface, a user may input a second operation instruction for selecting a destination index from the destination index options through the input device 40, and when the processor 30 receives the second operation instruction, at least one destination index of the reagent dispensing is selected according to the second operation instruction. For example, in FIG. 5, the user may choose to have the shortest working time to complete all tests and/or the shortest average sample test time. Taking the example where the user chooses to have the shortest working time to complete all tests.
Step 202: selected statistics are obtained.
When the reagent is dispensed, 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 statistic data configuration interface according to the second switching instruction, and displays the setting interface, and the display effect can be seen in fig. 7. On the configuration interface, a selection of time periods may be displayed, according to which the user inputs a first instruction for a selected time period via the input device 10, and the processor 30 may obtain the selected statistics from the statistics according to the first instruction.
For example, as shown in fig. 7, the user inputs the start time and the end time in the "start time" item and the "end time" item, respectively, and then clicks the "ok" button to select the time period; alternatively, the "start time" item and the "end time" item may also be in the form of a drop down menu from which the user selects a time period. For example, 2018, 7, 1, 9: 00-2018, 7 months, 3 days 18:00, then the processor 30 will obtain 2018, 7, 1, 9 from the statistics of the sample analysis device: 00-2018, 7 months, 3 days 18:00 statistics for this period of time, resulting in selected statistics.
In practical applications, the sample analysis device may be preconfigured with a preset time period, for example, a time period of 3 days before reagent dispensing is determined as the preset time period, and the processor 30 may directly obtain data in the preset time period from the statistics data to obtain the selected statistics data.
In practical application, the statistical data can be obtained by storing sample information of daily work in daily work of the sample analysis device.
Step 203: item information is acquired.
After the selected statistics are obtained, the processor 30 reads out the source item information in the selected statistics, i.e. reads out all item information contained in the selected statistics, which may include item types, which correspond to reagent types; the processor 30 then 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 list form or a matrix distribution form, 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 thereof may be referred to 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 selects item information from source item information according to the first operation command, for example, eight infectious diseases (Anti-TP, anti-HCV, HIV, anti-HBc, anti-HBe, HBeAg, anti-HBs, HBsAg) are selected from fig. 8.
In one embodiment, the source item information may 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 user can quickly select the item information, and the display effect thereof may be referred to the item information configuration interface shown in fig. 9, for example, the source item information includes three packages of four blood fat items, five immune items and eight infectious diseases, and corresponding check boxes are 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 selects 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 project information and the selected statistical data, the processor 30 determines sample information to be used from the selected statistical data based on the project information. Specifically, for example, the selected item information is eight infectious disease items, the processor 30 determines a sample including eight infectious disease items in the detection item from samples included in the selected statistics data, that is, as long as any one of eight infectious disease items is included in the detection item of the sample, the sample is considered to be a sample including eight infectious disease items in the detection item, then obtains sample information of the samples, and determines the obtained sample information as sample information to be used. The sample information may include the total number of samples and the detection order of eight detection items belonging to infectious disease among the samples. For example, there are 3 samples containing eight infectious diseases, and the first sample contains Anti-TP and HIV, and the detection sequence is obtained as Anti-TP- & gtHIV; the second sample contains Anti-TP, anti-HCV and HIV, and the detection sequence is HIV- & gt, anti-TP- & gt, anti-HCV; the third sample contains Anti-HBs; the 3 samples also have a sequential detection sequence, so that the detection sequences of the detection items of each sample can be spliced together according to the detection sequences of the 3 samples, and the detection sequences of all the detection items of the 3 samples are obtained: anti-TP- > HIV- > Anti-TP- > Anti-HCV- > Anti-HBs.
Step 205: a preselected reagent dispensing pattern is determined.
After acquiring the project information, the processor 30 determines a combination manner between the project types and the reagent units in the project information, and then distributes each project type to a corresponding reagent unit according to the combination manner, so as to obtain a plurality of preselected reagent distribution manners.
For example, the item type obtained is eight infectious diseases, and the processor 30 first 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 allocates the respective item types to the corresponding reagent units according to the combination pattern shown in table 1, resulting in a first preselected reagent allocation pattern shown in combination pattern one and a second preselected reagent allocation pattern shown in combination pattern two. The present invention is not limited to the above two combinations, and other combinations are possible in practical use.
Step 206: the test procedure was simulated for all samples.
After the processor 30 determines a plurality of preselected reagent dispensing patterns, for each preselected reagent dispensing pattern, simulating a testing process 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 is specifically as follows: from this sample information, starting from the first of these samples, the process of all samples for detecting the respective detection items belonging to eight infectious diseases is simulated in accordance with the detection order of the detection items determined in step 204.
For example, processor 30 determines the first pre-selected reagent dispensing means and the second pre-selected reagent dispensing means described in step 205, and 10 samples containing eight items of infectious disease are determined, each sample having a respective order of detection of the eight items of infectious disease. At this time, for the first pre-selected reagent dispensing mode, the processor 30 simulates the process of detecting the eight items belonging to the infectious disease in the first sample, and then simulates the second sample and the third sample according to the detection sequence of the eight items belonging to the infectious disease in each of the 10 samples, from the first sample. The same simulation was also performed for the second pre-selected reagent dispensing mode.
Step 207: index data is calculated.
For each pre-selected reagent dispensing mode, during the simulation of the sample testing, the processor 30 counts the detection start time of the first sample and the detection end time of the last sample to obtain a first time T1 and a second time T2, and calculates the corresponding working time for completing all the tests according to T1 and T2. Specifically, the time difference between the T1 and the T2 is calculated, and the time difference is used as the corresponding working time for completing all the tests, so that the corresponding index data are obtained.
For example, for the first pre-selected reagent dispensing regime described above, t1=9: 00 T2=13: 00, the working time for completing all the tests is 4 hours. For the second pre-selected reagent dispensing regime described above, t1=13: 30 T2=16: 00, the working time for completing all the tests is 2.5 hours.
Step 208: and determining a target reagent distribution mode.
After calculating the index data corresponding to each pre-selected reagent distribution mode, the processor 30 determines the pre-selected reagent distribution mode with the shortest working time for completing all the tests from the working time for completing all the tests corresponding to all the pre-selected reagent distribution modes, and determines the pre-selected reagent distribution mode with the shortest working time for completing all the tests as the reagent distribution mode meeting the target index, thereby obtaining the target reagent distribution mode.
For example, the first pre-selected reagent dispensing mode has a working time of 4 hours for all tests to be completed, the second pre-selected reagent dispensing mode has a working time of 2.5 hours for all tests to be completed, and comparing the two times, the second pre-selected reagent dispensing mode has the shortest working time for all tests to be completed, and the second pre-selected reagent dispensing mode is determined to be the target reagent dispensing mode.
Step 209: and displaying the allocation information.
After determining the target reagent dispensing mode, the processor 30 sends the target reagent dispensing mode to the display device 40 for display. Specifically, the allocation information of the target reagent allocation pattern including the type of item and/or the type of reagent allocated to each reagent unit is displayed on the display device 40.
For example, if the processor 30 determines the second pre-selected reagent dispensing mode as the target reagent dispensing mode, the dispensing information as shown in the second combination mode in table 1 may be displayed on the display device 40, and the display effect thereof may be seen in fig. 10. Alternatively, the types of reagents respectively dispensed on M1 and M2 may be displayed
In practical applications, the allocation information may further include index data satisfying the target index. For example, the target reagent dispensing mode is the second pre-selected reagent dispensing mode described above, and the working time for completing all the tests in the second pre-selected reagent dispensing mode is 2.5 hours, then 2.5 hours may also be displayed in the dispensing information, and the "working time for completing all the tests" is displayed on the display device 40: 2.5 hours "in this word.
According to the reagent distribution method provided by the embodiment, a setting interface for reagent distribution is provided for a user, the user can select the use effect to be achieved after reagent distribution on the setting interface according to actual requirements, for example, the working time for completing all tests is shortest, meanwhile, statistical data of concerned time periods are selected, at this time, sample analysis equipment can provide a selection interface of item types for the user according to the selected statistical data, and the user can select eight infectious diseases needing reagent distribution according to the selected statistical data; after the setting is completed, for each possible reagent distribution mode, the sample analysis equipment can simulate the eight processes of detecting infectious diseases by using selected statistical data according to sample information in the sample analysis equipment to obtain working time for completing all tests corresponding to each possible reagent distribution mode, and then determine the reagent distribution mode with the shortest working time for completing all tests from the working time and display the reagent distribution mode to a user, so that a guiding scheme for reagent distribution is provided for the user, and the using effect after reagent distribution can reach the required requirement.
The above embodiment is described by taking the shortest working time for completing all the tests as an example as the target index, wherein the target index may 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 (step 207 is performed), the processor 30 acquires the detection start time and the detection end time of each sample, and calculates the average sample test time for each pre-selected reagent dispensing mode based on the detection start time and the detection end time of each sample; specifically, for each pre-selected reagent dispensing mode, the processor 30 calculates the test time of each sample according to the test start time and the test end time of each sample, then calculates the sum of the test times of all samples to obtain a total test time, and then calculates the average test time of each sample according to the total test time and the total number of samples to obtain an average sample test time. Next, when determining the target reagent dispensing mode (step 208 is executed), the processor 30 determines the preselected reagent dispensing mode with the shortest average sample test time from the average sample test times corresponding to all the preselected reagent dispensing modes, and determines the preselected reagent dispensing mode with the shortest average sample test time as the reagent dispensing mode satisfying the target index. And finally, displaying the reagent distribution mode to a user. Similarly, the average sample test time with the shortest average sample test time may be displayed.
The scheme provided by the invention can be applied to the following scenes:
(1) A single reagent unit is upgraded to multiple interconnected reagent units.
The application scenario may be: (1) the original sample analysis equipment only comprises an analysis module, wherein the analysis module only comprises one reagent unit, and the analysis module is updated to an analysis module comprising a plurality of reagent units; (2) the original sample analysis device only comprises one analysis module, and the sample analysis device is upgraded to sample analysis devices with a plurality of interconnected analysis modules, wherein each analysis module comprises at least one reagent unit. Under the application scene, the user does not use the updated sample analysis equipment and does not have the use experience of reagent distribution, so that reagent distribution cannot be well completed, and the use effect after distribution cannot be guaranteed to be optimal. By adopting the scheme of the invention, the sample analysis equipment can provide a guiding function for the reagent distribution for the user, and can effectively solve the problem of reagent distribution for the user.
It will be appreciated that the present invention can be used to provide guidance for reagent dispensing as long as a sample analysis device cascades new reagent units.
(2) The user wishes to adjust the dispensing of the reagent.
After a 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 requirement, or the use condition of a user is changed, at this time, the scheme of the invention can effectively help the user to adjust the reagent distribution, and continuous optimization of the reagent distribution is realized through historical statistical data.
Reference is made to various exemplary embodiments herein. However, those skilled in the art will recognize that changes and modifications may be made to the exemplary embodiments without departing from the scope herein. For example, the various operational steps and components used to perform the operational steps may be implemented in different ways (e.g., one or more steps may be deleted, modified, or combined into other steps) depending on the particular application or taking into account any number of cost functions associated with the operation of the system.
Additionally, as will be appreciated by one of skill in the art, the principles herein may be reflected in a computer program product on a computer readable storage medium preloaded 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 which implement 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 shown in various embodiments, many modifications of structure, arrangement, proportions, elements, materials, and components, which are particularly adapted to specific environments and operative requirements, may be used 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, those 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 present disclosure is to be considered as illustrative and not restrictive in character, 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. The benefits, advantages, solutions to problems, and any element(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature. 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 "couple" and any other variants thereof are used herein to refer to physical connections, electrical connections, magnetic connections, optical connections, communication connections, functional connections, 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)
1. A sample analysis apparatus, comprising: input means, analysis means, processor and display means;
the analysis device is connected with the processor and used for analyzing a sample, and comprises at least two reagent units, wherein the reagent units 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 target indexes of reagent distribution;
the processor is used for determining sample information to be used from statistical data according to the item information, determining a plurality of preselected reagent distribution modes according to the item information and the reagent unit, calculating index data corresponding to each preselected reagent distribution mode according to the sample information and the item information, and determining a reagent distribution mode meeting the target index according to the index data to obtain a target reagent distribution mode;
The display device is connected with the processor and used for displaying the target reagent distribution mode.
2. The sample analysis device of claim 1, wherein the analysis means comprises an analysis module comprising at least two of the reagent units.
3. The sample analysis device of claim 1, wherein the analysis arrangement comprises at least two analysis modules, each of the analysis modules comprising at least one of the reagent units.
4. The sample analysis device of claim 1, wherein the processor is further configured to obtain data from the statistics over a period of time, obtain selected statistics, read source item information in the selected statistics, 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 the project information from the source project information by a user, and taking the selected project information as project information input by the user according to the first operation.
5. The sample analysis device of claim 4, wherein the processor is configured to obtain selected statistics from the statistics by obtaining data from the statistics over a predetermined period of time; or the processor is specifically used for receiving a first instruction for selecting a time period input by a user through the input device, and acquiring data in the selected time period from the statistical data according to the first instruction to obtain the selected statistical data.
6. The sample analysis device of claim 1, wherein the item information includes an item type, the item type corresponding to a reagent type.
7. The sample analysis device of claim 6, wherein the processor is configured to determine a combination of the item type and the reagent unit when determining a plurality of preselected reagent dispensing modes based on the item information and the reagent unit, and to dispense each item type to a corresponding reagent unit based on the combination to obtain a plurality of preselected reagent dispensing modes.
8. The sample analysis device of claim 6, wherein the processor is configured to, when determining sample information to be used from the statistical data based on the item information, determine a sample including the item type in a detection item from the statistical data, acquire sample information of the sample, and determine the acquired sample information as 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 determined by the detection order of the samples.
9. The sample analysis device of claim 8, wherein the destination indicator comprises a minimum working time to complete all tests and/or a minimum average sample test time;
the index data includes the working time to complete all tests and/or the average sample test time.
10. The sample analysis apparatus according to claim 9, wherein the processor is configured to calculate, for each pre-selected reagent dispensing mode, index data corresponding to each pre-selected reagent dispensing mode based on the sample information and the item information, simulate a test procedure of all samples from a first sample among the samples based on the sample information and the item 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 mode based on the first time and the second time;
and/or the number of the groups of groups,
the processor is specifically configured to simulate a test procedure of all samples from a first sample among the samples according to the sample information and the item information for each pre-selected reagent distribution mode, obtain a detection start time and a detection end time of each sample, and calculate an average sample test time of each pre-selected reagent distribution mode according to the detection start time and the detection end time of each sample.
11. The sample analysis device of claim 10, wherein the processor is configured to simulate, based on the sample information, a process of detecting the respective detection items for all samples in a detection order of the detection items, starting from a first sample among the samples.
12. The sample analysis device of claim 10, wherein the processor is configured to calculate, for each preselected reagent dispensing pattern, a time difference between the first time and the second time, and to treat the time difference as a corresponding working time for completing all tests.
13. The sample analysis device of claim 10, wherein the processor is specifically configured to calculate, for each preselected reagent distribution pattern, a test time for each sample based on a start time and an end time of detection for each sample, calculate a sum of 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 the total number of samples to obtain an average sample test time.
14. The sample analysis device of claim 9, wherein the processor is configured to determine, when determining a reagent dispensing mode satisfying the target index based on the index data, a preselected reagent dispensing mode having a shortest working time for completing all tests from working times for completing all tests corresponding to all preselected reagent dispensing modes, and determine the preselected reagent dispensing mode having the shortest working time for completing all tests as the reagent dispensing mode satisfying the target index;
And/or the number of the groups of groups,
the processor is specifically configured to determine a preselected reagent distribution mode with a shortest average sample test time from average sample test times corresponding to all the preselected reagent distribution modes, and determine the preselected reagent distribution mode with the shortest average sample test time as a reagent distribution mode that meets the target index.
15. Sample analysis device according to any of the claims 6 to 14, wherein the display means is in particular adapted to display dispensing information of the dispensing pattern of the target reagent, the dispensing information comprising the type of item and/or type of reagent dispensed on each reagent unit.
16. The sample analysis device of claim 15, wherein the assignment information further includes index data that satisfies the destination index.
17. The sample analysis device of claim 1, wherein the processor is further configured to generate a destination indicator option and send the destination indicator option to the display device for display;
the input device is specifically configured to detect a second operation of selecting at least one target index from the target index options by a user, and use the selected target index as a target index of reagent distribution input by the user according to the second operation.
18. The sample analysis device of claim 1, further comprising a memory for storing sample information for daily operation of the sample analysis device, the statistical data being obtained.
19. A method of dispensing a reagent, comprising:
acquiring project information input by a user through an input device and a target index of reagent distribution;
determining sample information to be used from statistical data according to the item information;
determining a plurality of preselected reagent distribution modes according to the project information and reagent units of sample analysis equipment, wherein the number of the reagent units is at least two;
calculating index data corresponding to each preselected reagent distribution mode according to the sample information and the item 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 distribution mode of the target reagent.
20. The method of claim 19, wherein prior to the acquiring the item information entered by the user via the 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 display.
21. The method of claim 20, wherein the acquiring item information input by the user through the input device comprises:
receiving a first operation instruction for selecting project information input by a user through the input device;
and selecting item information from the source item information according to the first operation instruction.
22. The method of claim 20, wherein said obtaining data from said statistics over a period of time to obtain selected statistics comprises:
and acquiring data in a preset time period from the statistical data to obtain selected statistical data.
23. The method of claim 20, wherein said obtaining data from said statistics over a period of time to obtain selected statistics 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 the selected statistical data.
24. The method of claim 19, wherein the item information includes an item type, the item type corresponding to a reagent type.
25. The method of claim 24, wherein said determining a plurality of preselected reagent dispensing patterns based on said item information and a reagent unit of a sample analyzer comprises:
determining a combination of 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 preselected reagent distribution modes.
26. The method of claim 24, wherein the determining sample information to be used from statistical data based on the item information comprises:
determining a sample containing the item type in the detected item from the statistical data;
and acquiring sample information of the samples, 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.
27. The method of claim 26, wherein the objective indicator comprises a minimum working time to complete all tests and/or a minimum average sample test time;
The index data includes the working time to complete all tests and/or the average sample test time.
28. The method of claim 27, wherein calculating index data corresponding to each preselected reagent dispensing mode based on the sample information and the item information, comprises:
simulating a test procedure for all samples from a first one of the samples based on the sample information and the project information for each preselected reagent dispensing means;
counting the detection start time of a first sample and the detection end time of a last sample to obtain first time and second time, and calculating 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 number of the groups of groups,
and acquiring the detection starting time and the detection ending time of each sample, and calculating the average sample test time of each preselected reagent distribution mode according to the detection starting time and the detection ending time of each sample.
29. The method of claim 28, wherein simulating a test procedure for all samples from a first sample of the samples based on the sample information and the project information comprises:
And simulating the process of detecting the detection items of all samples according to the detection sequence of the detection items from the first sample in the samples according to the sample information.
30. The method of claim 28, wherein calculating a working time for each preselected reagent dispensing means to complete all tests based on the first time and the second time comprises:
for each preselected reagent dispensing mode, calculating a time difference between the first time and the second time, and taking the time difference as the corresponding working time for completing all the tests.
31. The method of claim 28, wherein calculating an average sample test time for each preselected reagent dispensing pattern based on the start time and end time of the test for each sample comprises:
for each preselected reagent distribution mode, calculating the test time of each sample according to the detection starting time and the detection ending time of each sample;
calculating the sum of the test time of all samples to obtain the total test time;
and calculating the test time of each sample according to the total test time and the total number of the samples to obtain the average sample test time.
32. The method of claim 27, wherein determining the manner of reagent dispensing that meets the target indicator based on the indicator data comprises:
determining a preselected reagent distribution mode with the shortest working time for completing all the tests from working time for completing all the tests corresponding to all the preselected reagent distribution modes, and determining the preselected reagent distribution mode with the shortest working time for completing all the tests as a reagent distribution mode meeting the target index;
and/or the number of the groups of groups,
and determining a preselected reagent distribution mode with the shortest average sample test time from the average sample test time corresponding to all the preselected reagent distribution modes, and determining the preselected reagent distribution mode with the shortest average sample test time as a reagent distribution mode meeting the target index.
33. The method of any one of claims 24 to 32, wherein displaying the target reagent dispensing pattern comprises:
and displaying the distribution information of the target reagent distribution mode, wherein the distribution information comprises the item type and/or the reagent type distributed on each reagent unit.
34. The method of claim 33, wherein the allocation information further includes index data satisfying the destination index.
35. The method of claim 19, wherein prior to the obtaining the destination indicator for the dispensing of the reagent entered by the user via the input device, the method further comprises:
generating a target index option;
and sending the target index options to a display device for display.
36. The method of claim 35, wherein the obtaining the destination indicator for the dispensing of the reagent entered by the user via the input device comprises:
receiving a second operation instruction which is input by a user through the input device and is used for selecting a target index from the target index options;
at least one target indicator of reagent dispensing is selected in accordance with the second operating instruction.
37. The method of claim 19, wherein the method further comprises:
and storing sample information of the sample analysis equipment working every day to obtain the statistical data.
38. A computer readable storage medium comprising a program executable by a processor to implement the method of any one of claims 19 to 37.
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| CN114609399B (en) * | 2022-05-09 | 2022-09-23 | 深圳市帝迈生物技术有限公司 | Sample analysis state prompting method and device, equipment and storage medium |
| CN117491654B (en) * | 2023-12-15 | 2024-03-19 | 广州誉康医药有限公司 | Method for improving utilization rate of reagent card and adding efficiency of sample |
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