WO2013071516A1 - Système et procédé de détection de qualité d'échantillons de laboratoire à double insu basés sur informatique en nuage - Google Patents

Système et procédé de détection de qualité d'échantillons de laboratoire à double insu basés sur informatique en nuage Download PDF

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Publication number
WO2013071516A1
WO2013071516A1 PCT/CN2011/082450 CN2011082450W WO2013071516A1 WO 2013071516 A1 WO2013071516 A1 WO 2013071516A1 CN 2011082450 W CN2011082450 W CN 2011082450W WO 2013071516 A1 WO2013071516 A1 WO 2013071516A1
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WIPO (PCT)
Prior art keywords
sample
code
test
blind
quality
Prior art date
Application number
PCT/CN2011/082450
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English (en)
Chinese (zh)
Inventor
傅学胜
Original Assignee
上海雷波信息技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by 上海雷波信息技术有限公司 filed Critical 上海雷波信息技术有限公司
Priority to PCT/CN2011/082450 priority Critical patent/WO2013071516A1/fr
Publication of WO2013071516A1 publication Critical patent/WO2013071516A1/fr

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Classifications

    • 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
    • G01N35/00594—Quality control, including calibration or testing of components of the analyser
    • G01N35/00613—Quality control

Definitions

  • the invention relates to a laboratory sample detection technology, and performs quality inspection on various samples of a laboratory through a detection system based on Cloud Computing. Specifically, the invention relates to a double-blind sample quality detection based on cloud computing. System and method. Background technique
  • the inspector sends the sample to be inspected directly to the relevant laboratory for testing. After the laboratory completes the test, the test report is sent to the inspector. In this quality inspection process, the inspector knows which laboratory the sample is sent to, and the laboratory inspector knows the specific source of the sample, so that the inspector and the laboratory and even the relevant third parties are susceptible to subjective factors. Quality inspection results in the objectivity and reliability of the test results.
  • Blind testing is a test that is performed without eyes or other measuring tools, that is, without a purpose test.
  • blind testing refers to the use of technology to deal with the brand logo of the product. Users do not know the specific brand, through the actual use of several similar products, To compare the performance of each product. Blind testing allows users to abandon prejudice, abandon brand factors, and understand what they are most interested in is that product or understand the true nature of the product being tested.
  • the present invention proposes a cloud-based double blind sample quality detecting system and method.
  • a cloud-based double-blind sample quality detection system including a massive sample input end, an information system deployed on a cloud platform, and a massive laboratory end, wherein the cloud platform
  • the information system includes a sample receiving end, a sample repacking marking end and a sample dispensing end; the sample receiving end is configured to receive the sample testing application and the sample sent from the sample input end, and encode the sample; the sample repacking marking end is used for Receiving the sample with the coded mark and repacking it; the sample delivery end sends the repackaged sample to the test laboratory, which completes the test and returns the test result, and the system sends the sample quality test report to the sample input end. Submitted to the inspector.
  • a cloud-based double-blind sample quality detecting method comprising: Step 10), the submitting person submits a sample detecting application based on a network login system through a massive sample input terminal, and transmits the sample Go to the sample receiving end; Step 20), the sample receiving end in the information system deployed on the cloud platform receives the sample detecting application and the sample sent from the sample input end, and The sample is coded and labeled; the sample repacking mark end in the information system deployed on the cloud platform receives the sample with the coded mark and repackages it; step 30), the sample in the information system deployed on the cloud platform The dispatcher sends the repackaged sample to one of the massive testing laboratories, which completes the test and returns the test result, and the system sends the sample quality test report to the sampler at the sample input.
  • the invention utilizes cloud computing and database encryption technology, and ensures that the correspondence between the sample receiving end and the sample sending end sample code can not be found by anyone through the database encryption technology of the information system, thereby eliminating the subjective factors of the human being, thereby providing an objective Reliable test results.
  • there should be a significant number of laboratories connected to the system so it is only possible to support a large number of laboratories and examiners if the information system is deployed on a cloud computing platform.
  • the information system can be extended to systems that manage laboratory factors such as laboratory personnel, instruments, reagents, and specific operational processes, such as LIMS (Laboratory Information Management). System), ELN (Electronic Lab Notebook) and LIS (Laboratory Information System), etc.
  • LIMS Laboratory Information Management
  • ELN Electro Lab Notebook
  • LIS Laboratory Information System
  • These professional information systems are deployed on the cloud platform and become SaaS LIMS (also known as LIMS_on_Demand) and SaaS ELN (also known as ELN_on_Demand).
  • SaaS LI S also known as LIS-on-Demand
  • these systems can better perform the task of double-blind sample quality detection after adding the above double-blind management program with database encryption technology.
  • the deployment cost is also It has been greatly improved.
  • Such cloud-based laboratory professional information systems often need to be connected to various analytical test instruments in the laboratory to automatically collect their data results, and thus are also a kind of Internet of Things.
  • FIG. 1 shows a cloud computing based double blind sample quality detection system and detection according to the present invention Schematic diagram of the process.
  • double-blind trials are usually used when the subject is a human being, in order to avoid the subjective bias of the subject or the person performing the trial affecting the outcome of the trial.
  • the subjects and researchers did not know which subjects belonged to the control group and which belonged to the experimental group. Only after all the data has been collected and analyzed will the researchers know the group to which the subject belongs.
  • Double-blind tests are often used in drug testing, and patients are randomized into control and experimental groups. The control group was given a placebo and the experimental group was given a real drug. Whether it is a patient or an experimenter who observes a patient I don't know who gets the real medicine until the end of the study. There is currently no system for distributing double-blind tests for a large number of test samples and a large number of laboratories.
  • Cloud computing is a computing model that provides IT resources, data, and applications as services to users over a network.
  • the invention is to establish an information system including sample management on a cloud platform, and the system is deployed on a cloud server, and provides services for relevant mass samples of inspectors and a large number of inspection laboratories through the network, thereby Connect a large number of relevant laboratories and submitters, and then completely separate the information of the inspectors and related testing laboratories in the system through database encryption technology, so that the inspectors cannot know which laboratory the samples will be.
  • the test is carried out, and the laboratory cannot know the specific information of the source and sample source.
  • the sample is tested in a double-blind mode and a test report is generated and sent to the examiner. This method of detection eliminates subjective interventions and ensures the objectivity of the test results.
  • a cloud-based double-blind sample quality detection method begins to deploy a database-based information system (hereinafter referred to as a system) on a cloud platform, which uses strict database encryption technology.
  • a system database-based information system
  • the inspector can directly submit the sample detection request through the network input provided by the sample receiving end, and then send the sample to the relevant sample receiving end.
  • the information system will automatically use a sample code (can be called To encode the first sample, such as a barcode or radio frequency (RFID) code, and then send the sample to the sample repacking mark to repack the sample, if necessary, to eliminate any remaining on the sample. Imprints on manufacturers, trade names, origins and production periods. And according to the prompt automatically given by the system, the first sample code is replaced by another The code (which can be referred to as the second sample code) is then transferred to the sample delivery end.
  • a sample code can be called To encode the first sample, such as a barcode or radio frequency (RFID) code
  • the sample delivery end can query the name and address of the test laboratory automatically designated by the system through the second sample code of the sample and send the sample directly to the laboratory. After the test is completed, the second sample code is directly input into the system through the network. Corresponding sample detection results, the system background will automatically generate the sample quality test report of the first sample code according to the data encoded by the second sample, and then transmit it to the inspector.
  • the relevant database encryption technology on the re-marking side ensures that no one in the system, including the system administrator, can separately query the corresponding relationship between the sample's first sample code and the sample's second sample code.
  • the system needs 2 or more users with special permissions to enter their own username and password at the same time.
  • measures such as increasing the complexity of the code and prohibiting the repackaging of the sample and marking any tools that can be recorded in the department can be taken.
  • This process eliminates the subjective factors in the sample detection and reporting process because of the “double blindness” between the sample inspector and the sample testing laboratory, ensuring the objectivity of the test results.
  • a cloud-based double-blind sample quality detection system comprising a massive input of a sample, an information system deployed on a cloud platform, and a massive laboratory end, on the cloud platform
  • the information system includes a sample receiving end, a sample repacking marking end, and a sample dispensing end.
  • the information system on the cloud platform deploys database encryption technology to manage samples and related quality inspection reports, and allows all relevant inspectors and related qualified laboratories to be on the network (including the Internet). Shared on the WAN and LAN).
  • the sample input end is used for the inspector to directly log in to the system through the network input to submit a sample test.
  • the application is tested, then the sample is delivered to the relevant sample receiving end, and a sample test report returned by the sample receiving end is received.
  • the sample receiving end is for receiving a sample detection request and a sample, and the sample is marked using a first sample code, which may be a barcode or a radio frequency (RFID) code.
  • a first sample code which may be a barcode or a radio frequency (RFID) code.
  • the sample repacking marker end is for receiving a sample having the first sample code and repackaging it. Among them, if necessary, eliminate the marks on the sample, such as the manufacturer, the product name, the place of production, and the date of manufacture.
  • the sample repacking mark end also replaces the first sample code with another code (which can be referred to as the second code) according to the prompt automatically given by the system, and then transfers the reprocessed sample to the sample delivery end.
  • the sample delivery end sends the sample with the second code to the testing laboratory specified randomly or according to a certain rule, and the laboratory directly inputs the sample test result corresponding to the second code on the system through the network after the test is completed.
  • the system background will automatically generate the first encoded sample quality test report according to the second encoded data, and then transmit it to the inspector.
  • the relevant database encryption technology of the re-marking end can ensure that any user including the system administrator in the system cannot separately query the corresponding relationship between the first sample code and the second sample code.
  • the system needs 2 or more users with special permissions to enter their own username and password at the same time.
  • measures such as increasing the complexity of the code and prohibiting the repackaging of the sample and marking any tools that can be recorded in the department can be taken.

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  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Automatic Analysis And Handling Materials Therefor (AREA)

Abstract

La présente invention porte sur un système et un procédé de détection de qualité d'échantillon à double insu basés sur informatique en nuage. Le système comprend : des extrémités d'entrée d'échantillon de masse, un système d'informations déployé sur une plateforme en nuage et des extrémités de laboratoire de masse. Le système d'informations sur la plateforme en nuage comprend : une extrémité de réception d'échantillon, une extrémité de marquage de reconditionnement d'échantillon et une extrémité d'envoi d'échantillon. L'extrémité de réception d'échantillon est utilisée pour recevoir des applications de détection d'échantillon et des échantillons envoyés par une extrémité d'entrée d'échantillon et marquer par code les échantillons. L'extrémité de marquage de reconditionnement d'échantillon est utilisée pour recevoir les échantillons marqués par code et marquer le reconditionnement des échantillons. L'extrémité d'envoi d'échantillon envoie les échantillons de reconditionnement marqué à des laboratoires de détection. Les laboratoires finissent la détection et renvoient des résultats de détection. L'arrièreplan du système émet des rapports de détection de qualité d'échantillon aux déposants à l'extrémité d'entrée d'échantillon.
PCT/CN2011/082450 2011-11-18 2011-11-18 Système et procédé de détection de qualité d'échantillons de laboratoire à double insu basés sur informatique en nuage WO2013071516A1 (fr)

Priority Applications (1)

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PCT/CN2011/082450 WO2013071516A1 (fr) 2011-11-18 2011-11-18 Système et procédé de détection de qualité d'échantillons de laboratoire à double insu basés sur informatique en nuage

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PCT/CN2011/082450 WO2013071516A1 (fr) 2011-11-18 2011-11-18 Système et procédé de détection de qualité d'échantillons de laboratoire à double insu basés sur informatique en nuage

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101078733A (zh) * 2006-05-25 2007-11-28 上海中策工贸有限公司 商品质量检查及控制系统
CN101169452A (zh) * 2006-10-25 2008-04-30 佛山市德科机电设备有限公司 陶瓷砖质量检测方法和设备
WO2009036429A2 (fr) * 2007-09-13 2009-03-19 Zelin Michael P Système d'assurance qualité amélioré et procédé de test au point d'intervention
CN201392343Y (zh) * 2008-12-19 2010-01-27 华环国际烟草有限公司 质量检测自动采集分析系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101078733A (zh) * 2006-05-25 2007-11-28 上海中策工贸有限公司 商品质量检查及控制系统
CN101169452A (zh) * 2006-10-25 2008-04-30 佛山市德科机电设备有限公司 陶瓷砖质量检测方法和设备
WO2009036429A2 (fr) * 2007-09-13 2009-03-19 Zelin Michael P Système d'assurance qualité amélioré et procédé de test au point d'intervention
CN201392343Y (zh) * 2008-12-19 2010-01-27 华环国际烟草有限公司 质量检测自动采集分析系统

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