WO2021135369A1 - 样本处理方法和装置 - Google Patents
样本处理方法和装置 Download PDFInfo
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- WO2021135369A1 WO2021135369A1 PCT/CN2020/114210 CN2020114210W WO2021135369A1 WO 2021135369 A1 WO2021135369 A1 WO 2021135369A1 CN 2020114210 W CN2020114210 W CN 2020114210W WO 2021135369 A1 WO2021135369 A1 WO 2021135369A1
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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
- G01N35/00584—Control arrangements for automatic analysers
- G01N35/00722—Communications; Identification
- G01N35/00732—Identification of carriers, materials or components in automatic analysers
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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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- 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
- G01N35/00584—Control arrangements for automatic analysers
- G01N35/00722—Communications; Identification
- G01N35/00732—Identification of carriers, materials or components in automatic analysers
- G01N2035/00742—Type of codes
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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
- G01N35/00584—Control arrangements for automatic analysers
- G01N35/00722—Communications; Identification
- G01N35/00732—Identification of carriers, materials or components in automatic analysers
- G01N2035/00742—Type of codes
- G01N2035/00752—Type of codes bar codes
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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
- G01N35/00584—Control arrangements for automatic analysers
- G01N35/00722—Communications; Identification
- G01N35/00732—Identification of carriers, materials or components in automatic analysers
- G01N2035/00821—Identification of carriers, materials or components in automatic analysers nature of coded information
- G01N2035/00831—Identification of carriers, materials or components in automatic analysers nature of coded information identification of the sample, e.g. patient identity, place of sampling
Definitions
- the present invention relates to the technical field of sample processing, in particular to a sample processing method and device.
- the present invention provides a sample processing method and device to solve the problem of sample detection errors in related technologies.
- the present invention discloses a sample processing method, which is applied to a diagnostic device or a terminal connected to the diagnostic device, and the method includes:
- the corresponding sample to be tested is tested.
- the present invention also discloses a sample processing device, which is applied to a diagnostic equipment or a terminal connected to the diagnostic equipment, and the device includes:
- a generating module configured to generate a worksheet of the sample to be tested according to the sample information of the sample to be tested in the sample group, wherein the sample group includes a plurality of samples to be tested;
- the first detection module is configured to detect the corresponding sample to be tested according to the worksheet of the sample to be tested.
- the present invention includes the following advantages:
- a worksheet of the sample to be tested may be generated according to the sample information of the sample to be tested in the sample group, wherein the sample group includes a plurality of samples to be tested; according to the work of the sample to be tested Single, test the corresponding sample to be tested. Since the worksheet used is generated based on the sample information of the sample to be monitored when testing the sample, the testing information about the sample in the worksheet is accurate and has a detailed testing process, which not only achieves The automatic detection of samples without manual intervention improves the efficiency of sample detection, and can improve the accuracy of sample detection and avoid sample detection errors.
- FIG. 1 is a flowchart of steps of an embodiment of a sample processing method of the present invention
- FIG. 2 is a flowchart of steps of another embodiment of a sample processing method of the present invention.
- FIG. 3 is a flowchart of steps of another embodiment of a sample processing method of the present invention.
- FIG. 4 is a structural block diagram of an embodiment of a sample processing device of the present invention.
- Fig. 5 schematically shows a block diagram of a computing processing device for executing the method according to the present invention.
- Fig. 6 schematically shows a storage unit for holding or carrying program codes for implementing the method according to the present invention.
- the various embodiments of the present invention can be applied to a diagnostic device or a terminal connected to the diagnostic device.
- the diagnostic equipment may be equipment used for medical diagnosis or inspection.
- the diagnostic equipment includes but not limited to: biochemical analyzer, chemiluminescence immunoassay analyzer, fluorescence immunoassay analyzer, immunoturbidimetric analyzer, biochemical immune integrated machine, and gene Sequencer.
- the present invention uses a fully automatic photo-induced chemiluminescence detector to describe this embodiment in detail.
- a step flow chart of an embodiment of a sample processing method of the present invention can be applied to a fully automatic photoinduced chemiluminescence detector.
- the method can specifically include the following steps:
- Step 101 Generate a worksheet of the sample to be tested according to the sample information of the sample to be tested in the sample group;
- the sample group includes a plurality of samples to be tested
- the number of the sample group may be one or more, that is, the sample processing device of the embodiment of the present invention can be put into one or more sample groups at a time.
- Step 102 Perform testing on the corresponding sample to be tested according to the worksheet of the sample to be tested.
- a worksheet of the sample to be tested may be generated according to the sample information of the sample to be tested in the sample group, wherein the sample group includes a plurality of samples to be tested; according to the work of the sample to be tested Single, test the corresponding sample to be tested. Since the worksheet used is generated based on the sample information of the sample to be monitored when testing the sample, the testing information about the sample in the worksheet is accurate and has a detailed testing process, which not only achieves The automatic detection of samples without manual intervention improves the efficiency of sample detection, and can improve the accuracy of sample detection and avoid sample detection errors.
- Step 201 Identify whether each sample to be tested in the sample group is provided with a graphic code
- the sample group includes a plurality of samples to be tested
- each sample to be tested in a sample group to be tested can be scanned to identify whether each sample to be tested in the sample group has a graphic code.
- the graphic code can be It is a barcode or graphic code such as a QR code.
- step 202 If yes, go to step 202 to obtain the first sample information in each of the graphic codes;
- each sample to be tested in the sample group has a graphic code
- the graphic code of all samples to be tested in the sample group records the information of the corresponding sample, so the graphic code can be extracted
- the graphic code of a sample to be tested can carry the sample information of the sample to be tested. Therefore, sample information can be extracted from the graphic code of the sample to be tested.
- the sample information may be attribute information of the sample (for example, sample name, sample composition, and attribute information of reagents required to detect the sample).
- Step 203 Generate a first worksheet of the sample to be tested according to the first sample information of the sample to be tested in the sample group;
- the work order may include the sample number and the test item name (optional). If the test item name is not included in the sample information, the generated work order does not include the test item name.
- the work order is used for the management of sample information.
- step 204 the corresponding sample to be tested is tested according to the first worksheet of the sample to be tested.
- the work order is generated based on the sample information of the sample to be tested, and the sample information includes various attribute information of the sample to be tested, such as sample name, sample composition, and reagents required for testing the sample, etc.
- the worksheet generated here can carry process information for testing the sample to be tested. Therefore, the sample to be tested can be tested according to the worksheet of the sample to be tested (for example, it will be compared with the information in the sample information).
- the reagent corresponding to the carried reagent information is added to the sample to be tested for testing the sample to be tested).
- the sample information of different samples to be monitored is independent of each other, and therefore, their first work orders are also different.
- each sample to be tested in the sample group is provided with a graphic code, and if so, the sample information in each graphic code can be obtained, and the sample information can be used to generate the first work order , To test the samples to be monitored in accordance with the first worksheet.
- the sample information carried in the graphic code of the sample can be used to generate the first worksheet for testing the sample, which realizes the automatic detection of the sample without manual intervention and improves the sample detection effectiveness.
- step 205 it is determined that a second sample with a graphic code is not set in the sample group;
- the second sample in the sample group can be determined.
- the user can manually add the sample number to the worksheet corresponding to the second sample.
- Step 206 Receive second sample information of the second sample
- the sample information may be attribute information of the sample (for example, sample name, sample composition, and attribute information of reagents required to detect the sample).
- the method of the embodiment of the present invention may output prompt information indicating that the sample information of the second sample is input, so that the user can input the sample information of the second sample in the system. Then, in step 206, the sample information of the second sample can be received from the outside.
- sample information of the second sample obtained in step 206 may also be obtained from sample information pre-stored in the system.
- Step 207 Generate a second work order of the second sample according to the second sample information of the second sample;
- the work order may include the sample number and the test item name (optional). If the test item name is not included in the sample information, the generated work order does not include the test item name.
- the work order is used for the management of sample information.
- Step 208 Detect the second sample according to the second worksheet of the second sample.
- step 204 The execution principle of this step is similar to the principle of step 204, and will not be repeated here.
- the second sample information of the second sample can be obtained to generate the second sample based on the second sample information
- the second sample information is used to complete the accurate detection of the second sample, which ensures the reliability of the sample detection, realizes the detection of the sample without the graphic code, and improves the flexibility and comprehensiveness of the sample detection.
- FIG. 3 there is shown a step flow chart of an embodiment of a sample processing method of the present invention, which may specifically include the following steps:
- Step 301 Identify whether each sample to be tested in the sample group is provided with a graphic code
- step 302 obtaining the first sample information in each of the graphic codes and obtaining the check information in each of the graphic codes;
- each sample to be tested in the sample group has a graphic code
- the graphic code of all samples to be tested in the sample group records the information of the corresponding sample, so the graphic code can be extracted
- the information carried in the sample to be tested can carry the sample information and verification information of the sample to be tested in the graphic code of a sample to be tested. Therefore, sample information and verification information can be extracted from the graphic code of the sample to be tested.
- the sample information may be attribute information of the sample (for example, sample name, sample composition, and attribute information of reagents required to detect the sample).
- the verification information may include a verification code, and a corresponding relationship between the sample components of the sample to be tested and the attribute information of the reagent used to detect the sample.
- Step 303 Perform verification on each sample to be tested according to the verification information of each sample to be tested and the first sample information;
- the verification information corresponding to each sample to be tested and the first sample information can be used to verify the corresponding sample to be tested.
- the verification information and the first sample information of each sample to be tested obtained from the graphic code can be analyzed, and then, according to the parsing of each verification information and Each first sample information is used to verify each sample to be tested.
- the verification information may include a verification code, which is used to verify whether the graphic code is valid, that is, a genuine and non-pirated graphic code.
- a verification code which is used to verify whether the graphic code is valid, that is, a genuine and non-pirated graphic code.
- a preset algorithm can be used to verify the check code in the graphic code of the sample to be tested, so as to verify the authenticity of the graphic code, and the check code is successfully verified. It means that the graphic code is real, otherwise it is forged.
- the verification information may not only include the foregoing verification code, but may also include the corresponding relationship between the sample components of the sample to be tested and the attribute information of the reagent used to detect the sample. Therefore, the corresponding relationship in the verification information can be used to verify whether the first sample information (including sample name, sample composition, and attribute information of the reagents required to detect the sample) extracted from the graphic code correct.
- the verification information includes the above-mentioned corresponding relationship
- the first sample information also includes the sample components (for example, component A) and the attribute information of the reagents required to detect the sample
- the information in the first sample information can be used This sample component (for example, component A) is used to query the above-mentioned corresponding relationship. If the attribute information of the reagent matching the component A (for example, reagent B) is consistent with the attribute information of the reagent in the first sample information, it indicates that the to-be-detected The sample verification is successful.
- the verification code fails to verify, and/or the verification of the sample information fails according to the above-mentioned corresponding relationship in the verification information, the verification of the sample to be detected will fail.
- Step 304 For the first sample successfully verified in the sample group, generate a first worksheet of the first sample according to the first sample information of the first sample.
- the sample to be tested that is successfully verified among the multiple samples to be tested in the sample group is named the first sample here.
- step 302 obtains the sample information of each sample to be tested in the sample group
- this step can extract the sample information of the first sample from the data obtained in step 302, and according to the sample information of the first sample Information to generate the first worksheet of the first sample.
- each sample to be tested in the sample group is provided with a graphic code. If so, the sample information and verification information in each graphic code can be obtained, and the graphic of the sample to be tested can be used. The verification information and sample information carried by the code are used to verify the sample to be tested. If the verification is successful, the sample information carried by the graphic code of the sample to be tested is used to generate the first worksheet to follow the The first work order is to test the successfully verified samples.
- the verification information carried in the graphic code of the sample to be tested is used to verify the sample, it can effectively verify whether the sample to be tested is the sample that actually needs to be tested, avoiding the problem of sample detection error, and improving the accuracy of sample detection ;
- the sample information carried in the sample's graphic code can be used to generate the first worksheet for testing the sample, which realizes the automatic detection of the sample without manual intervention and improves Improve the sample detection efficiency.
- step 305 for the third sample in the sample group that fails the verification, a prompt message indicating that the third sample is replaced is output.
- each sample to be tested in the sample group is provided with a graphic code, so when the verification information in each graphic code is used to verify the corresponding sample to be tested, there may be a failure in the verification.
- the sample to be tested is named the third sample.
- the verification information of the third sample is verified and the verification result is a failure, it indicates that the third sample is not an accurate sample to be tested, so a prompt message indicating that the third sample should be replaced is output.
- the sample name, sample composition, and sample composition of the sample to be tested in the sample group may be used.
- the reagent used to detect the sample to be tested, and a work order is generated.
- the sample information (name, ingredients, required reagents, etc.) is used to generate the work order, which can realize the intelligent management of the sample information, so that the management efficiency of the sample information is high, the error rate is low, and the operation cost is saved. .
- each sample to be tested in the sample group is provided with a graphic code. If so, the sample information and verification information in each graphic code can be obtained, and the graphic of the sample to be tested can be used. The verification information and sample information carried by the code are used to verify the sample to be tested. If the verification is successful, the sample information carried by the graphic code of the sample to be tested is used to generate the first worksheet to follow the The first work order is to test the successfully verified samples.
- the verification information carried in the graphic code of the sample to be tested is used to verify the sample, it can effectively verify whether the sample to be tested is the sample that actually needs to be tested, avoiding the problem of sample detection errors; in addition, when checking the sample During the detection, the sample information carried in the graphic code of the sample can be used to generate the first worksheet for detecting the sample, which realizes the automatic detection of the sample without manual intervention and improves the efficiency of sample detection.
- the sample information of the second sample that is not provided with a graphic code is obtained, and the sample information is used to generate the second worksheet of the second sample according to In the second worksheet, the second sample is used for detection, thereby realizing the detection of samples that are not provided with a graphic code, and improving the flexibility and comprehensiveness of sample detection.
- FIG. 4 a structural block diagram of an embodiment of a sample processing device of the present invention is shown, which is applied to a fully automatic photoinduced chemiluminescence detector.
- the device may specifically include the following Module:
- the generating module 31 is configured to generate a worksheet of the sample to be tested according to the sample information of the sample to be tested in the sample group, wherein the sample group includes a plurality of samples to be tested;
- the first detection module 32 is configured to detect the corresponding sample to be tested according to the worksheet of the sample to be tested.
- the device further includes:
- the identification module is used to identify whether each sample to be tested in the sample group is provided with a graphic code
- the first acquisition module is configured to, if the identification module recognizes that each sample to be tested in the sample group is provided with a graphic code, then obtain the first sample information in each of the graphic codes;
- the generating module 31 includes:
- the first generation sub-module is configured to generate a first worksheet of the sample to be tested according to the first sample information of the sample to be tested in the sample group;
- the first detection module 32 includes:
- the first detection sub-module is configured to detect the corresponding sample to be tested according to the first worksheet of the sample to be tested.
- the device further includes:
- a determining module configured to determine a second sample for which a graphic code is not set in the sample group if the recognition module recognizes that not every sample to be tested in the sample group is provided with a graphic code
- a receiving module configured to receive second sample information of the second sample
- the generating module 31 includes:
- a second generation sub-module configured to generate a second work order of the second sample according to the second sample information of the second sample
- the first detection module 32 includes:
- the second detection sub-module is configured to detect the second sample according to the second worksheet of the second sample.
- the device further includes:
- the second acquisition module is configured to, if the identification module recognizes that each sample to be tested in the sample group is provided with a graphic code, then obtain the verification information in each of the graphic codes;
- the second detection module is configured to perform verification on each sample to be tested according to the verification information of each sample to be tested and the first sample information;
- the first generation sub-module is further configured to generate the first sample of the first sample according to the first sample information of the first sample for the first sample that is successfully verified in the sample group Work order.
- the device further includes:
- the output module is configured to output prompt information indicating that the third sample is replaced for the third sample in the sample group that fails the verification.
- the generating module 31 is further configured to generate a worksheet according to the sample name, sample components, and reagents used to detect the sample to be tested in the sample information of the sample to be tested in the sample group.
- a worksheet of the sample to be tested may be generated according to the sample information of the sample to be tested in the sample group, wherein the sample group includes a plurality of samples to be tested; according to the work of the sample to be tested Single, test the corresponding sample to be tested. Since the worksheet used is generated based on the sample information of the sample to be monitored when testing the sample, the testing information about the sample in the worksheet is accurate and has a detailed testing process, which not only achieves The automatic detection of samples without manual intervention improves the efficiency of sample detection, and can improve the accuracy of sample detection and avoid sample detection errors.
- the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment.
- the device embodiments described above are merely illustrative, where the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the objectives of the solutions of the embodiments. Those of ordinary skill in the art can understand and implement it without creative work.
- the various component embodiments of the present invention may be implemented by hardware, or by software modules running on one or more processors, or by a combination of them.
- a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the computing processing device according to the embodiments of the present invention.
- DSP digital signal processor
- the present invention can also be implemented as a device or device program (for example, a computer program and a computer program product) for executing part or all of the methods described herein.
- Such a program for realizing the present invention may be stored on a computer-readable medium, or may have the form of one or more signals.
- Such a signal can be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.
- FIG. 5 shows a computing processing device that can implement the method according to the present invention.
- the computing processing device traditionally includes a processor 1010 and a computer program product in the form of a memory 1020 or a computer readable medium.
- the memory 1020 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), EPROM, hard disk, or ROM.
- the memory 1020 has a storage space 1030 for executing program codes 1031 of any method steps in the above methods.
- the storage space 1030 for program codes may include various program codes 1031 respectively used to implement various steps in the above method. These program codes can be read from or written into one or more computer program products.
- These computer program products include program code carriers such as hard disks, compact disks (CDs), memory cards, or floppy disks.
- Such a computer program product is usually a portable or fixed storage unit as described with reference to FIG. 6.
- the storage unit may have storage segments, storage spaces, etc. arranged similarly to the memory 1020 in the computing processing device of FIG. 5.
- the program code can be compressed in an appropriate form, for example.
- the storage unit includes computer-readable codes 1031', that is, codes that can be read by, for example, a processor such as 1010. These codes, when run by a computing processing device, cause the computing processing device to execute the method described above. The various steps.
- any reference signs placed between parentheses should not be constructed as a limitation to the claims.
- the word “comprising” does not exclude the presence of elements or steps not listed in the claims.
- the word “a” or “an” preceding an element does not exclude the presence of multiple such elements.
- the invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims listing several devices, several of these devices may be embodied in the same hardware item.
- the use of the words first, second, and third, etc. do not indicate any order. These words can be interpreted as names.
- the embodiments of the embodiments of the present invention may be provided as methods, devices, or computer program products. Therefore, the embodiments of the present invention may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the embodiments of the present invention may adopt the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.
- computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
- These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing terminal equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction device.
- the instruction device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.
- These computer program instructions can also be loaded on a computer or other programmable data processing terminal equipment, so that a series of operation steps are executed on the computer or other programmable terminal equipment to produce computer-implemented processing, so that the computer or other programmable terminal equipment
- the instructions executed above provide steps for implementing functions specified in a flow or multiple flows in the flowchart and/or a block or multiple blocks in the block diagram.
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Abstract
一种样本处理方法和装置,应用于诊断设备或与诊断设备连接的终端,该方法包括:根据样本组中待检测样本的样本信息,生成待检测样本的工作单(101);其中,样本组包括多个待检测样本;按照待检测样本的工作单,对相应的待检测样本进行检测(102)。该方法能够提升对样本检测的准确率。
Description
本申请要求在2019年12月31日提交中国专利局、申请号为201911423116.5、发明名称为“样本处理方法和装置”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
本发明涉及样本处理技术领域,特别是涉及一种样本处理方法和装置。
目前,不论是医药领域,还是化学实验领域,都会涉及对样本的检测。
在传统技术中,容易存在样本检测错误的问题。
发明内容
本发明提供了一种样本处理方法和装置,以解决相关技术中容易存在样本检测错误的问题。
为了解决上述问题,根据本发明的一个方面,本发明公开了一种样本处理方法,应用于诊断设备或与诊断设备连接的终端,该方法包括:
根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,其中,所述样本组包括多个待检测样本;
按照所述待检测样本的工作单,对相应的待检测样本进行检测。
根据本发明的另一方面,本发明还公开了一种样本处理装置,应用于诊断设备或与诊断设备连接的终端,该装置包括:
生成模块,用于根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,其中,所述样本组包括多个待检测样本;
第一检测模块,用于按照所述待检测样本的工作单,对相应的待检测样本进行检测。
与现有技术相比,本发明包括以下优点:
在本发明实施例中,可以根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,其中,所述样本组包括多个待检测样本;按照所述待检测样本的工作单,对相应的待检测样本进行检测。由于在对样本进行检测时,所使用的工作单是基于待监测样本的样本信息而生成的,因此,该工作单的关于该样本的检测信息是准确的、且具备详细的检测流程,不仅实现了对样本的自动检测,无需人工干预,提升了样本检测效率,而且可以提升对样本检测的准确率,避免样本检测出错。
上述说明仅是本发明技术方案的概述,为了能够更清楚了解本发明的技术手段,而可依照说明书的内容予以实施,并且为了让本发明的上述和其它目的、特征和优点能够更明显易懂,以下特举本发明的具体实施方式。
为了更清楚地说明本发明实施例或现有技术中的技术方案,下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍,显而易见地,下面描述中的附图是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1是本发明的一种样本处理方法实施例的步骤流程图;
图2是本发明的另一种样本处理方法实施例的步骤流程图;
图3是本发明的又一种样本处理方法实施例的步骤流程图;
图4是本发明的一种样本处理装置实施例的结构框图;
图5示意性地示出了用于执行根据本发明的方法的计算处理设备的框图;以及
图6示意性地示出了用于保持或者携带实现根据本发明的方法的程序代码的存储单元。
为使本发明实施例的目的、技术方案和优点更加清楚,下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。
本发明各个实施例可以应用到诊断设备或与诊断设备连接的终端。
其中,诊断设备可以为医疗诊断或检验时使用的设备,该诊断设备包括但不限于:生化分析仪、化学发光免疫分析仪、荧光免疫分析仪、免疫比浊分析仪、生化免疫一体机和基因测序仪。本发明采用全自动光激化学发光检测仪对本实施例进行详细说明。
参照图1,示出了本发明的一种样本处理方法实施例的步骤流程图,该方法可以应用于全自动光激化学发光检测仪,该方法具体可以包括如下步骤:
步骤101,根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单;
其中,所述样本组包括多个待检测样本;
此外,该样本组的数量可以是一个或者多个,即本发明实施例的样本处理装置可以单次放入一个或多个样本组。
步骤102,按照所述待检测样本的工作单,对相应的待检测样本进行检测。
在本发明实施例中,可以根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,其中,所述样本组包括多个待检测样本;按照所述待检测样本的工作单,对相应的待检测样本进行检测。由于在对样本进行检测时,所使用的工作单是基于待监测样本的样本信息而生成的,因此,该工作单的关于该样本的检测信息是准确的、且具备详细的检测流程,不仅实现了对样本的自动检测,无需人工干预,提升了样本检测效率,而且可以提升对样本检测的准确率,避免样本检测出错。
参照图2,示出了本发明的一种样本处理方法实施例的步骤流程图,具体可以包括如下步骤:
步骤201,识别样本组中是否每个待检测样本均设置有图形码;
其中,所述样本组包括多个待检测样本;
本步骤中,可以对一个待检测的样本组中的每个待检测样本进行扫描,来识别该样本组中是否每个待检测样本都设置有图形码,在不同的示例中,该图形码可以是条形码,还可以是二维码等图形码。
若是,则步骤202,获取每个所述图形码中的第一样本信息;
其中,如果经过扫描发现该样本组中的每个待检测样本均设置有图形码,则说明样本组中的所有待检测样本的图形码都记载了所对应样本的信息,因此,可以提取图形码中携带的信息,其中,一个待检测样本的图形码中可以携带该待检测样本的样本信息。因此,可以从待检测样本的图形码中提取到样本信息。
其中,样本信息可以是样本的属性信息(例如样本名称、样本成分、检测该样本所需要的试剂的属性信息)。
步骤203,根据样本组中待检测样本的所述第一样本信息,生成所述待检测样本的第一工作单;
其中,工作单可以包括样本的编号,以及测试项名称(可选项),有些样本信息中不含测试项名称,则生成的工作单就不包含测试项名称。
其中,工作单用于对样本信息的管理。
步骤204,按照所述待检测样本的所述第一工作单,对相应的待检测样本进行检测。
其中,由于工作单是基于待检测样本的样本信息所生成的,而该样本信息包括待检测样本的各种属性信息,例如样本名称、样本成分以及检测该样本所需要的试剂等信息,因此,这里生成的工作单可以携带有用于对该待检测样本进行检测的流程性信息,所以,可以按照该待检测样本的工作单,来对该待检测样本进行检测(例如将与该样本信息中所携带的试剂信息对应的试剂添加到该待检测样本中,来对待检测样本进行检测)。
在一个示例中,不同的待监测样本它们的样本信息相互独立,因此,它们的第一工作单也并不相同。
在本发明实施例中,可以识别样本组中是否每个待检测样本均设置有图形码,如果是,则可以获取每个图形码中的样本信息,并利用该样本信息来生成第一工作单,来按照该第一工作单,来对待监测样本进行检测。在对样本进行检测时,可以利用该样本的图形码中所携带的样本信息,来生成用于检测该样本的第一工作单,实现了对样本的自动检测,无需人工干预,提升了样本检测效率。
可选地,若否,则步骤205,确定所述样本组中未设置有图形码的第二样本;
其中,如果经过扫描发现该样本组中存在未设置有图形码的待检测样本,这里命名为第二样本,则可以确定该样本组中的该第二样本。
可选地,对于没有图形码的第二样本,可以由用户手工在该第二样本对应的工作单中添加样本编号。
步骤206,接收所述第二样本的第二样本信息;
其中,样本信息可以是样本的属性信息(例如样本名称、样本成分、检测该样本所需要的试剂的属性信息)。
可选地,在步骤205之后,步骤206之前,本发明实施例的方法可以输出表示输入第二样本的样本信息的提示信息,这样,用户就可以在***中输入该第二样本的样本信息,那么本步骤206就可以从外部接收到该第二样本的样本信息。
当然,步骤206所获取到的第二样本的样本信息也可以是从***预先存储的样本信息中获取到的。
步骤207,根据所述第二样本的所述第二样本信息,生成所述第二样本的第二工作单;
其中,工作单可以包括样本的编号,以及测试项名称(可选项),有些样本信息中不含测试项名称,则生成的工作单就不包含测试项名称。
其中,工作单用于对样本信息的管理。
步骤208,按照所述第二样本的所述第二工作单对所述第二样本进行检测。
本步骤的执行原理与步骤204的原理类似,这里不再赘述。
在本发明实施例中,当识别到样本组中存在未设置有图形码的第二样本时,则可以获取该第二样本的第二样本信息,来基于该第二样本信息生成该第二样本的第二工作单,来利用该第二工作单来对该第二样本进行检测,使得即便样本组中存在没有设置图形码的第二样本,仍旧可以借助于获取的该第二样本的第二样本信息来完成对第二样本的准确检测,确保了样本检测的可靠性,实现了对未设置有图形码的样本的检测,提升了样本检测的灵活性和全面性。
参照图3,示出了本发明的一种样本处理方法实施例的步骤流程图,具体可以包括如下步骤:
步骤301,识别样本组中是否每个待检测样本均设置有图形码;
本步骤的原理与上述步骤201类似,这里不再赘述;
若是,则步骤302,获取每个所述图形码中的第一样本信息以及获取每个所述图形码中的校验信息;
其中,如果经过扫描发现该样本组中的每个待检测样本均设置有图形码,则说明样本组中的所有待检测样本的图形码都记载了所对应样本的信息,因此,可以提取图形码中携带的信息,其中,一个待检测样本的图形码中可以携带该待检测样本的样本信息以及校验信息。因此,可以从待检测样本的图形码中提取到样本信息以及校验信息。
其中,样本信息可以是样本的属性信息(例如样本名称、样本成分、检测该样本所需要的试剂的属性信息)。
该校验信息可以包括校验码,以及该待检测样本的样本成分与用于检测该样本的试剂的属性信息之间的对应关系。
其中,对于获取第一样本信息和获取该校验信息的顺序不做限制;
步骤303,根据所述每个待检测样本的所述校验信息和所述第一样本信息,对每个所述待检测样本进行校验;
其中,可以利用每个待检测样本对应的校验信息和第一样本信息,来对相应的待检测样本进行校验。
在一个示例中,在进行校验时,可以对从图形码中获取到的每个待检测样本的校验信息、第一样本信息进行解析,然后,根据解析后的每 个校验信息以及每个第一样本信息,来对每个待检测样本进行校验。
具体的,校验信息可以包括校验码,该校验码用于校验该图形码是否有效,即正版,非盗版的图形码。在对一个待检测样本进行校验时,可以采用预设算法来对该待检测样本的图形码中的校验码进行校验,从而验证该图形码的真伪,校验码校验成功,则说明该图形码为真实的,否则为伪造的。
那么在待检测样本的图形码中的校验码验证成功之后,则需要利用该图形码中的校验信息来对从该图形码中获取的第一样本信息进行进一步校验,具体的,该校验信息不仅仅可以包括上述校验码,还可以包括该待检测样本的样本成分与用于检测该样本的试剂的属性信息之间的对应关系。因此,可以利用该校验信息中的该对应关系,来验证从图形码中提取到的第一样本信息(这里包括样本名称、样本成分,以及检测该样本所需要的试剂的属性信息)是否正确。具体的,由于校验信息包括上述对应关系,而第一样本信息也包括样本成分(例如成分A)和检测该样本所需要的试剂的属性信息,那么可以利用该第一样本信息中的这个样本成分(例如成分A)来查询上述对应关系,如果与该成分A匹配的试剂的属性信息(例如试剂B)与第一样本信息中的试剂的属性信息一致,则说明对该待检测样本校验成功。
而如果校验码校验失败,和/或,依据校验信息中上述对应关系对该样本信息校验失败,都会导致对该待检测样本校验失败。
步骤304,对于所述样本组中校验成功的第一样本,根据所述第一样本的第一样本信息,生成所述第一样本的第一工作单。
其中,对于样本组中的多个待检测样本中校验成功的待检测样本,这里命名为第一样本。
由于步骤302获取到了样本组中每个待检测样本的样本信息,因此,本步骤可以从步骤302获取到的数据中来提取出第一样本的样本信息,并根据该第一样本的样本信息,来生成该第一样本的第一工作单。
在本发明实施例中,可以识别样本组中是否每个待检测样本均设置有图形码,如果是,则可以获取每个图形码中的样本信息以及校验信息, 并利用待检测样本的图形码所携带的校验信息和样本信息来对该待检测样本进行校验,如果校验成功,则利用该待检测样本的图形码所携带的样本信息,来生成第一工作单,来按照该第一工作单,来对该校验成功的样本进行检测。由于利用待检测样本的图形码中所携带的校验信息来对该样本进行校验,可以有效的核实待检测样本是否为实际需要检测的样本,避免样本检测错误的问题,提升样本检测准确率;此外,在对样本进行检测时,可以利用该样本的图形码中所携带的样本信息,来生成用于检测该样本的第一工作单,实现了对样本的自动检测,无需人工干预,提升了样本检测效率。
可选地,步骤305,对于所述样本组中校验失败的第三样本,则输出表示对所述第三样本进行更换的提示信息。
其中,本实施例中样本组中的每个待检测样本都设置有图形码,那么在利用各个图形码中的校验信息来对相应的待检测样本进行校验时,可能存在校验失败的待检测样本,这里将样本组中校验失败的待检测样本命名为第三样本。
由于第三样本的校验信息经校验,校验结果为失败,则说明该第三样本不是准确的需要检测的样本,所以输出表示对该第三样本进行更换的提示信息。
这样方便用户将样本组中的第三样本进行更换为准确的需要检测的样本。
可选地,在上述任意一个实施例中,在根据待检测样本的样本信息,来生成待检测样本的工作单时,可以根据样本组中待检测样本的样本信息中的样本名称、样本成分、用于检测所述待检测样本的试剂,生成工作单。
在本发明实施例中,使用样本信息(名称、成分、所需试剂等),来生成工作单,可以实现对样本信息的智能管理,使得样本信息的管理效率高、出错率低,节省操作成本。
在本发明实施例中,可以识别样本组中是否每个待检测样本均设置有图形码,如果是,则可以获取每个图形码中的样本信息以及校验信息, 并利用待检测样本的图形码所携带的校验信息和样本信息来对该待检测样本进行校验,如果校验成功,则利用该待检测样本的图形码所携带的样本信息,来生成第一工作单,来按照该第一工作单,来对该校验成功的样本进行检测。由于利用待检测样本的图形码中所携带的校验信息来对该样本进行校验,可以有效的核实待检测样本是否为实际需要检测的样本,避免样本检测错误的问题;此外,在对样本进行检测时,可以利用该样本的图形码中所携带的样本信息,来生成用于检测该样本的第一工作单,实现了对样本的自动检测,无需人工干预,提升了样本检测效率。如果样本组中不是每个待检测样本均设置有图形码,则对未设置有图形码的第二样本获取其样本信息,来利用该样本信息生成该第二样本的第二工作单,来按照该第二工作单来第二样本进行检测,从而实现了对未设置有图形码的样本的检测,提升了样本检测的灵活性和全面性。
需要说明的是,对于方法实施例,为了简单描述,故将其都表述为一系列的动作组合,但是本领域技术人员应该知悉,本发明实施例并不受所描述的动作顺序的限制,因为依据本发明实施例,某些步骤可以采用其他顺序或者同时进行。其次,本领域技术人员也应该知悉,说明书中所描述的实施例均属于优选实施例,所涉及的动作并不一定是本发明实施例所必须的。
与上述本发明实施例所提供的方法相对应,参照图4,示出了本发明一种样本处理装置实施例的结构框图,应用于全自动光激化学发光检测仪,该装置具体可以包括如下模块:
生成模块31,用于根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,其中,所述样本组包括多个待检测样本;
第一检测模块32,用于按照所述待检测样本的工作单,对相应的待检测样本进行检测。
可选地,所述装置还包括:
识别模块,用于识别所述样本组中是否每个待检测样本均设置有图形码;
第一获取模块,用于若所述识别模块识别到所述样本组中每个待检 测样本均设置有图形码,则获取每个所述图形码中的第一样本信息;
所述生成模块31包括:
第一生成子模块,用于根据样本组中待检测样本的第一样本信息,生成所述待检测样本的第一工作单;
所述第一检测模块32包括:
第一检测子模块,用于按照所述待检测样本的所述第一工作单,对相应的待检测样本进行检测。
可选地,所述装置还包括:
确定模块,用于若所述识别模块识别到所述样本组中不是每个待检测样本均设置有图形码,则确定所述样本组中未设置有图形码的第二样本;
接收模块,用于接收所述第二样本的第二样本信息;
所述生成模块31包括:
第二生成子模块,用于根据所述第二样本的所述第二样本信息,生成所述第二样本的第二工作单;
所述第一检测模块32包括:
第二检测子模块,用于按照所述第二样本的所述第二工作单对所述第二样本进行检测。
可选地,所述装置还包括:
第二获取模块,用于若所述识别模块识别到所述样本组中每个待检测样本均设置有图形码,则获取每个所述图形码中的校验信息;
第二检测模块,用于根据所述每个待检测样本的所述校验信息和所述第一样本信息,对每个所述待检测样本进行校验;
所述第一生成子模块,还用于对于所述样本组中校验成功的第一样本,根据所述第一样本的第一样本信息,生成所述第一样本的第一工作单。
可选地,所述装置还包括:
输出模块,用于对于所述样本组中校验失败的第三样本,则输出表示对所述第三样本进行更换的提示信息。
可选地,所述生成模块31,还用于根据样本组中待检测样本的样本信息中的样本名称、样本成分、用于检测所述待检测样本的试剂,生成工作单。
在本发明实施例中,可以根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,其中,所述样本组包括多个待检测样本;按照所述待检测样本的工作单,对相应的待检测样本进行检测。由于在对样本进行检测时,所使用的工作单是基于待监测样本的样本信息而生成的,因此,该工作单的关于该样本的检测信息是准确的、且具备详细的检测流程,不仅实现了对样本的自动检测,无需人工干预,提升了样本检测效率,而且可以提升对样本检测的准确率,避免样本检测出错。
对于装置实施例而言,由于其与方法实施例基本相似,所以描述的比较简单,相关之处参见方法实施例的部分说明即可。
本说明书中的各个实施例均采用递进的方式描述,每个实施例重点说明的都是与其他实施例的不同之处,各个实施例之间相同相似的部分互相参见即可。
以上所描述的装置实施例仅仅是示意性的,其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下,即可以理解并实施。
本发明的各个部件实施例可以以硬件实现,或者以在一个或者多个处理器上运行的软件模块实现,或者以它们的组合实现。本领域的技术人员应当理解,可以在实践中使用微处理器或者数字信号处理器(DSP)来实现根据本发明实施例的计算处理设备中的一些或者全部部件的一些或者全部功能。本发明还可以实现为用于执行这里所描述的方法的一部分或者全部的设备或者装置程序(例如,计算机程序和计算机程序产品)。这样的实现本发明的程序可以存储在计算机可读介质上,或者可以具有一个或者多个信号的形式。这样的信号可以从因特网网站上下载得到, 或者在载体信号上提供,或者以任何其他形式提供。
例如,图5示出了可以实现根据本发明的方法的计算处理设备。该计算处理设备传统上包括处理器1010和以存储器1020形式的计算机程序产品或者计算机可读介质。存储器1020可以是诸如闪存、EEPROM(电可擦除可编程只读存储器)、EPROM、硬盘或者ROM之类的电子存储器。存储器1020具有用于执行上述方法中的任何方法步骤的程序代码1031的存储空间1030。例如,用于程序代码的存储空间1030可以包括分别用于实现上面的方法中的各种步骤的各个程序代码1031。这些程序代码可以从一个或者多个计算机程序产品中读出或者写入到这一个或者多个计算机程序产品中。这些计算机程序产品包括诸如硬盘,紧致盘(CD)、存储卡或者软盘之类的程序代码载体。这样的计算机程序产品通常为如参考图6所述的便携式或者固定存储单元。该存储单元可以具有与图5的计算处理设备中的存储器1020类似布置的存储段、存储空间等。程序代码可以例如以适当形式进行压缩。通常,存储单元包括计算机可读代码1031’,即可以由例如诸如1010之类的处理器读取的代码,这些代码当由计算处理设备运行时,导致该计算处理设备执行上面所描述的方法中的各个步骤。
本文中所称的“一个实施例”、“实施例”或者“一个或者多个实施例”意味着,结合实施例描述的特定特征、结构或者特性包括在本发明的至少一个实施例中。此外,请注意,这里“在一个实施例中”的词语例子不一定全指同一个实施例。
在此处所提供的说明书中,说明了大量具体细节。然而,能够理解,本发明的实施例可以在没有这些具体细节的情况下被实践。在一些实例中,并未详细示出公知的方法、结构和技术,以便不模糊对本说明书的理解。
在权利要求中,不应将位于括号之间的任何参考符号构造成对权利要求的限制。单词“包含”不排除存在未列在权利要求中的元件或步骤。位于元件之前的单词“一”或“一个”不排除存在多个这样的元件。本发明可以借助于包括有若干不同元件的硬件以及借助于适当编程的计算机来实 现。在列举了若干装置的单元权利要求中,这些装置中的若干个可以是通过同一个硬件项来具体体现。单词第一、第二、以及第三等的使用不表示任何顺序。可将这些单词解释为名称。
最后应说明的是:以上实施例仅用以说明本发明的技术方案,而非对其限制;尽管参照前述实施例对本发明进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。
本领域内的技术人员应明白,本发明实施例的实施例可提供为方法、装置、或计算机程序产品。因此,本发明实施例可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且,本发明实施例可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本发明实施例是参照根据本发明实施例的方法、终端设备(***)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理终端设备的处理器以产生一个机器,使得通过计算机或其他可编程数据处理终端设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理终端设备以特定方式工作的计算机可读存储器中,使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品,该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理终端 设备上,使得在计算机或其他可编程终端设备上执行一系列操作步骤以产生计算机实现的处理,从而在计算机或其他可编程终端设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
尽管已描述了本发明实施例的优选实施例,但本领域内的技术人员一旦得知了基本创造性概念,则可对这些实施例做出另外的变更和修改。所以,所附权利要求意欲解释为包括优选实施例以及落入本发明实施例范围的所有变更和修改。
最后,还需要说明的是,在本文中,诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来,而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且,术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含,从而使得包括一系列要素的过程、方法、物品或者终端设备不仅包括那些要素,而且还包括没有明确列出的其他要素,或者是还包括为这种过程、方法、物品或者终端设备所固有的要素。在没有更多限制的情况下,由语句“包括一个……”限定的要素,并不排除在包括所述要素的过程、方法、物品或者终端设备中还存在另外的相同要素。
以上对本发明所提供的一种样本处理方法和一种样本处理装置,进行了详细介绍,本文中应用了具体个例对本发明的原理及实施方式进行了阐述,以上实施例的说明只是用于帮助理解本发明的方法及其核心思想;同时,对于本领域的一般技术人员,依据本发明的思想,在具体实施方式及应用范围上均会有改变之处,综上所述,本说明书内容不应理解为对本发明的限制。
Claims (15)
- 一种样本处理方法,应用于诊断设备或与诊断设备连接的终端,其特征在于,包括:根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,其中,所述样本组包括多个待检测样本;按照所述待检测样本的工作单,对相应的待检测样本进行检测。
- 根据权利要求1所述的方法,其特征在于,所述根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单之前,所述方法还包括:识别所述样本组中是否每个待检测样本均设置有图形码;若是,则获取每个所述图形码中的第一样本信息;所述根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,包括:根据样本组中待检测样本的第一样本信息,生成所述待检测样本的第一工作单;所述按照所述待检测样本的工作单,对相应的待检测样本进行检测,包括:按照所述待检测样本的所述第一工作单,对相应的待检测样本进行检测。
- 根据权利要求2所述的方法,其特征在于,所述识别所述样本组中是否每个待检测样本均设置有图形码之后,所述方法还包括:若否,则确定所述样本组中未设置有图形码的第二样本;接收所述第二样本的第二样本信息;所述根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,包括:根据所述第二样本的所述第二样本信息,生成所述第二样本的第二工作单;所述按照所述待检测样本的工作单,对相应的待检测样本进行检测,包括:按照所述第二样本的所述第二工作单对所述第二样本进行检测。
- 根据权利要求2所述的方法,其特征在于,所述识别所述样本组中是否每个待检测样本均设置有图形码之后,所述方法还包括:若是,则获取每个所述图形码中的校验信息;根据所述每个待检测样本的所述校验信息和所述第一样本信息,对每个所述待检测样本进行校验;所述根据样本组中待检测样本的第一样本信息,生成所述待检测样本的第一工作单,包括:对于所述样本组中校验成功的第一样本,根据所述第一样本的第一样本信息,生成所述第一样本的第一工作单。
- 根据权利要求4所述的方法,其特征在于,所述根据所述每个待检测样本的所述校验信息和所述第一样本信息,对每个所述待检测样本进行校验之后,所述方法还包括:对于所述样本组中校验失败的第三样本,则输出表示对所述第三样本进行更换的提示信息。
- 根据权利要求1所述的方法,其特征在于,所述根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,包括:根据样本组中待检测样本的样本信息中的样本名称、样本成分、用于检测所述待检测样本的试剂,生成工作单。
- 一种样本处理装置,应用于诊断设备或与诊断设备连接的终端,其特征在于,包括:生成模块,用于根据样本组中待检测样本的样本信息,生成所述待检测样本的工作单,其中,所述样本组包括多个待检测样本;第一检测模块,用于按照所述待检测样本的工作单,对相应的待检测样本进行检测。
- 根据权利要求7所述的装置,其特征在于,所述装置还包括:识别模块,用于识别所述样本组中是否每个待检测样本均设置有图形码;第一获取模块,用于若所述识别模块识别到所述样本组中每个待检测样本均设置有图形码,则获取每个所述图形码中的第一样本信息;所述生成模块包括:第一生成子模块,用于根据样本组中待检测样本的第一样本信息,生成所述待检测样本的第一工作单;所述第一检测模块包括:第一检测子模块,用于按照所述待检测样本的所述第一工作单,对相应的待检测样本进行检测。
- 根据权利要求8所述的装置,其特征在于,所述装置还包括:确定模块,用于若所述识别模块识别到所述样本组中不是每个待检测样本均设置有图形码,则确定所述样本组中未设置有图形码的第二样本;接收模块,用于接收所述第二样本的第二样本信息;所述生成模块包括:第二生成子模块,用于根据所述第二样本的所述第二样本信息,生成所述第二样本的第二工作单;所述第一检测模块包括:第二检测子模块,用于按照所述第二样本的所述第二工作单对所述第二样本进行检测。
- 根据权利要求8所述的装置,其特征在于,所述装置还包括:第二获取模块,用于若所述识别模块识别到所述样本组中每个待检测样本均设置有图形码,则获取每个所述图形码中的校验信息;第二检测模块,用于根据所述每个待检测样本的所述校验信息和所述第一样本信息,对每个所述待检测样本进行校验;所述第一生成子模块,还用于对于所述样本组中校验成功的第一样本,根据所述第一样本的第一样本信息,生成所述第一样本的第一工作单。
- 根据权利要求10所述的装置,其特征在于,所述装置还包括:输出模块,用于对于所述样本组中校验失败的第三样本,则输出表示对所述第三样本进行更换的提示信息。
- 根据权利要求7所述的装置,其特征在于,所述生成模块,还用于根据样本组中待检测样本的样本信息中的样本名称、样本成分、用于检测所述待检测样本的试剂,生成工作单。
- 一种计算处理设备,其特征在于,包括:存储器,其中存储有计算机可读代码;一个或多个处理器,当所述计算机可读代码被所述一个或多个处理器执行时,所述计算处理设备执行如权利要求1-6中任一项所述的样本处理方法。
- 一种计算机程序,包括计算机可读代码,当所述计算机可读代码在计算处理设备上运行时,导致所述计算处理设备执行根据权利要求1-6中任一项所述的样本处理方法。
- 一种计算机可读介质,其中存储了如权利要求14所述的计算机程序。
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