WO2020164261A1 - 液质检测结果的质量控制方法及装置 - Google Patents

液质检测结果的质量控制方法及装置 Download PDF

Info

Publication number
WO2020164261A1
WO2020164261A1 PCT/CN2019/115743 CN2019115743W WO2020164261A1 WO 2020164261 A1 WO2020164261 A1 WO 2020164261A1 CN 2019115743 W CN2019115743 W CN 2019115743W WO 2020164261 A1 WO2020164261 A1 WO 2020164261A1
Authority
WO
WIPO (PCT)
Prior art keywords
liquid quality
quality test
combination
test results
liquid
Prior art date
Application number
PCT/CN2019/115743
Other languages
English (en)
French (fr)
Inventor
张怡然
任建洪
杨梅
谢桂纲
Original Assignee
苏州帕诺米克生物医药科技有限公司
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.)
Filing date
Publication date
Application filed by 苏州帕诺米克生物医药科技有限公司 filed Critical 苏州帕诺米克生物医药科技有限公司
Publication of WO2020164261A1 publication Critical patent/WO2020164261A1/zh

Links

Images

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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Definitions

  • the present disclosure relates to the field of medical testing, and in particular to a method and device for quality control of liquid quality testing results.
  • the quality control (audit) of the liquid quality test results is the key operation to ensure that the experimental operation or the instrument is correct. Now the quality control of the liquid quality test results is carried out by the quality control reviewer, which leads to the low efficiency of the quality control review. The audit results are prone to errors. Therefore, how to efficiently control the quality of liquid quality test results with low error rate has become an urgent problem to be solved.
  • the present disclosure proposes a quality control method and device for liquid quality test results. Obtain the liquid quality test results automatically, calculate the RSD value, and automatically perform quality control on the liquid quality test results according to the RSD value, which improves the quality control efficiency of the liquid quality test results and ensures the correct rate of quality control.
  • a quality control method of liquid quality test results including:
  • each marker For each quality control QC sample, each marker, and each data type, obtain the liquid quality test results corresponding to each combination of QC samples, markers, and data types;
  • obtaining the relative standard deviation RSD value corresponding to the combination according to the liquid quality detection result corresponding to the combination includes:
  • the ratio of the standard deviation to the average value is taken as the relative standard deviation RSD value corresponding to the combination.
  • performing quality control on the liquid quality test result according to the RSD value corresponding to each combination of QC samples, markers, and data types includes:
  • the liquid quality test result is qualified, and the liquid quality test result is sent to the server.
  • obtaining the liquid quality test results corresponding to each combination of QC samples, markers, and data types includes:
  • liquid quality test results corresponding to each combination of QC samples, markers and data types are obtained.
  • the method further includes:
  • a QC report is generated according to the RSD value corresponding to each combination of QC samples, markers and data types.
  • a quality control device for liquid quality test results comprising:
  • the liquid quality test result acquisition module is used to obtain the liquid quality test results corresponding to each combination of QC samples, markers, and data types for each quality control QC sample, each marker, and each data type;
  • the RSD value acquisition module is used for each combination of QC samples, markers and data types to acquire the relative standard deviation RSD value corresponding to the combination according to the liquid quality test result corresponding to the combination;
  • the quality control module is configured to perform quality control on the liquid quality test result according to the RSD value corresponding to each combination of QC samples, markers and data types.
  • the RSD value acquisition module includes:
  • the RSD value obtaining unit is configured to use the ratio of the standard deviation to the average value as the relative standard deviation RSD value corresponding to the combination.
  • the quality control module includes:
  • the quality control unit is configured to, if the RSD value is greater than or equal to the threshold value, the liquid quality test result is unqualified, and the experimenter is notified to perform the liquid quality test again;
  • the quality control unit is further configured to, if the RSD value is less than the threshold, the liquid quality test result is qualified, and the liquid quality test result is sent to the server.
  • the liquid quality detection result obtaining module includes:
  • the first liquid quality detection result acquisition unit is used to acquire historical data of liquid quality detection results and current liquid quality detection result data
  • the second liquid quality test result acquisition unit is used to obtain the liquid quality test corresponding to each combination of QC samples, markers and data types from the historical data of the liquid quality test results and the data of the current liquid quality test results result.
  • the device further includes:
  • the QC report generation module is used to generate a QC report according to the RSD value corresponding to each combination of QC samples, markers and data types.
  • a quality control device for liquid quality detection results, including: a processor; a memory for storing executable instructions of the processor; wherein the processor is configured to execute the above method.
  • a non-volatile computer-readable storage medium having computer program instructions stored thereon, wherein the computer program instructions implement the above method when executed by a processor.
  • the liquid quality test results are automatically obtained, the RSD value is calculated, and the quality control of the liquid quality test results is automatically performed according to the RSD value.
  • the quality control method and device for the liquid quality test results of the embodiments of the present disclosure can improve the performance of the liquid quality test results. Quality control efficiency, and guarantee the correct rate of quality control.
  • Fig. 1 shows a flowchart of a method for quality control of liquid quality test results according to an embodiment of the present disclosure.
  • FIG. 2 shows a flowchart of a method for quality control of liquid quality test results according to an embodiment of the present disclosure.
  • Fig. 3 shows a flowchart of step S13 in an embodiment of the present disclosure.
  • Fig. 4 shows a block diagram of a quality control device for liquid quality test results according to an embodiment of the present disclosure.
  • Fig. 5 shows a block diagram of a quality control device for liquid quality detection results according to an embodiment of the present disclosure.
  • Fig. 6 shows a block diagram of a quality control device for liquid quality detection results according to an embodiment of the present disclosure.
  • Fig. 7 shows a block diagram of a quality control device for liquid quality test results according to an embodiment of the present disclosure.
  • the present disclosure can be applied to application scenarios where the liquid quality detection result needs to be reviewed after the liquid quality detection result is completed in the medical detection field.
  • the audit operation may be a quality control audit device, the quality control audit device may be a terminal or a server, and the terminal may be a computer, a mobile phone, or a tablet computer.
  • the computer to conduct the audit as an example, when the medical testing institution completes the liquid quality test result, the current liquid quality test result is sent to the computer for review, and the computer receives the liquid quality test result that needs to be reviewed, and can execute the present disclosure
  • the quality control method of the liquid quality test results of the current liquid quality test results is reviewed, and the audit results (liquid quality test results qualified or unqualified) are given.
  • Fig. 1 shows a flowchart of a method for quality control of liquid quality test results according to an embodiment of the present disclosure. As shown in Figure 1, the method may include:
  • Step S11 for each quality control QC sample, each marker, and each data type, obtain a liquid quality test result corresponding to each combination of QC samples, markers, and data types.
  • the QC (Quality Control) sample types can be 8 types, among which, 3 types of concentration gradient QC samples QCH (QC High), QCM (QC Middle), QCL (QC Low), the National Institute of Standards and Technology NIST (National Institute of Standards and Technology) NIST1 and NIST2 of standard samples, and HPS1, HPS2, and HPS3 of human pooled serum.
  • the liquid quality detection result includes a concentration value, a peak area value, and an internal standard peak area value, wherein the liquid quality detection result corresponding to each combination may include multiple.
  • the quality control review device When the quality control review device receives the liquid quality test result (current liquid quality test result) that needs to be reviewed, it can obtain the liquid quality test result stored in history. For one experiment (one liquid quality test), the historical liquid quality test results can be saved in the following historical record table 1:
  • AI auto increment in Table 1 above means self-increment
  • NN not null
  • PK primary key
  • obtaining liquid quality test results corresponding to each combination of QC samples, markers, and data types may include: obtaining historical data of liquid quality test results and data of current liquid quality test results; From the historical data of the liquid quality test results and the data of the current liquid quality test results, the liquid quality test results corresponding to each combination of QC samples, markers and data types are obtained.
  • the quality control review device can obtain the corresponding QC sample, marker and data type for each quality control QC sample, each marker, and each data type from the 29088 liquid quality test results.
  • Step S12 For each combination of QC samples, markers, and data types, obtain a relative standard deviation RSD value corresponding to the combination according to the liquid quality test result corresponding to the combination.
  • the quality control review device can obtain the RSD value of the relative standard deviation corresponding to the combination according to the liquid quality test result corresponding to the combination.
  • the combination of QCL, marker 43, and data type 2 corresponds to n liquid quality test results
  • the relative standard deviation RSD value can be calculated for the n liquid quality test results
  • the calculated relative standard deviation RSD value can be calculated
  • a combination of QCL, marker 43, and data type 2 corresponds to the relative standard deviation RSD value.
  • the quality control review device can calculate the standard deviation of the liquid quality test results corresponding to the combination and the average value of the liquid quality test results corresponding to the combination;
  • the ratio of is used as the relative standard deviation RSD value corresponding to the combination.
  • the relative standard deviation RSD value can be calculated by the following formula:
  • n is the number of liquid quality test results corresponding to a combination
  • Is the average value of the liquid quality test results corresponding to the combination
  • x i is the i-th liquid quality test result in the liquid quality test results corresponding to the combination
  • S is the standard deviation of the liquid quality test results corresponding to the combination.
  • Step S13 Perform quality control on the liquid quality test result according to the RSD value corresponding to each combination of QC sample, marker and data type.
  • the RSD value calculated from different experimental batches should be small, and the liquid quality test result can be determined according to whether the RSD value is large Eligibility.
  • the quality control review device can perform quality control on the current liquid quality test result according to whether the RSD value corresponding to each combination of QC sample, marker and data type has a larger RSD value. For example, when there is a large RSD value, the current liquid quality test result can be determined to be unqualified, and the experimenter can be notified to retest; if there is no large RSD value, the current liquid quality test result can be determined to be qualified, or the experimenter can be notified , And save the current liquid quality test results.
  • the larger RSD value can be set according to statistical results, or set by experts, which is not limited in the present disclosure.
  • the liquid quality test results are automatically obtained, the RSD value is calculated, and the quality control of the liquid quality test results is automatically performed according to the RSD value.
  • the quality control method and device for the liquid quality test results of the embodiments of the present disclosure can improve the performance of the liquid quality test results. The efficiency of quality control is guaranteed and the accuracy of quality control is guaranteed.
  • FIG. 2 shows a flowchart of a method for quality control of liquid quality test results according to an embodiment of the present disclosure. As shown in Figure 2, in a possible implementation manner, the method may further include:
  • Step S14 Generate a QC report according to the RSD value corresponding to each combination of QC sample, marker and data type.
  • the quality control review device can place the 288 RSD values obtained by the quality control and the experimental record number of the current liquid quality test result in a file, generate a QC report, and archive the QC report.
  • the QC report can also be sent to the experimenter so that the experimenter can refer to it in the experiment again.
  • Fig. 3 shows a flowchart of step S13 in an embodiment of the present disclosure.
  • the quality control review device performs a test on the liquid quality test result according to the RSD value corresponding to each combination of QC sample, marker and data type Quality control can include:
  • Step S131 if the RSD value is greater than or equal to the threshold, the liquid quality test result is unqualified, and the experimenter is notified to perform the liquid quality test again;
  • Step S132 If the RSD value is less than the threshold, the liquid quality test result is qualified, and the liquid quality test result is sent to the server.
  • the threshold is the critical value for the unqualified change of the RSD value.
  • the threshold may be obtained through statistics or preset by experts, which is not limited in the present disclosure.
  • the quality control review device judges that the current liquid quality test result is unqualified, it can notify the experimenter to perform the liquid quality test again, such as by email; if the current liquid quality test result is judged to be qualified, the quality control review device can test the current liquid quality The result is sent to the server for storage.
  • the current liquid quality test result can be saved in the form of Table 1, and the experimenter can be notified that the audit result is qualified.
  • the quality control review device may also save the user test report corresponding to the current liquid quality test result to the WeChat server, and notify the user that the test report can be viewed.
  • the quality control review device can directly determine whether the RSD value corresponding to a combination is greater than or equal to the threshold when obtaining the RSD value corresponding to a combination to determine whether the liquid quality test result is qualified; or, the quality control review The device can obtain the RSD values corresponding to all the combinations in the quality control, and then sequentially determine whether the RSD values corresponding to all the combinations are greater than or equal to the threshold to determine whether the liquid quality test result is qualified, which is not limited in the present disclosure.
  • Fig. 4 shows a block diagram of a quality control device for liquid quality test results according to an embodiment of the present disclosure.
  • the device may include:
  • the liquid quality test result acquisition module 41 is used to obtain the liquid quality test results corresponding to each combination of QC samples, markers, and data types for each quality control QC sample, each marker, and each data type;
  • the RSD value obtaining module 42 is configured to obtain, for each combination of QC samples, markers, and data types, the relative standard deviation RSD value corresponding to the combination according to the liquid quality test result corresponding to the combination;
  • the quality control module 43 is configured to perform quality control on the liquid quality test result according to the RSD value corresponding to each combination of QC samples, markers and data types.
  • the liquid quality test result is automatically obtained, the RSD value is calculated, and the quality control of the liquid quality test result is automatically performed according to the RSD value.
  • the quality control device for the liquid quality test result of the embodiment of the present disclosure can improve the quality control of the liquid quality test result Efficiency and ensure the correct rate of quality control.
  • Fig. 5 shows a block diagram of a quality control device for liquid quality detection results according to an embodiment of the present disclosure.
  • the RSD value acquisition module 42 may include:
  • the calculation unit 421 is configured to calculate the standard deviation of the liquid quality test results corresponding to the combination and the average value of the liquid quality test results corresponding to the combination;
  • the RSD value obtaining unit 422 is configured to use the ratio of the standard deviation to the average value as the relative standard deviation RSD value corresponding to the combination.
  • the quality control module 43 may include:
  • the quality control unit 431 is configured to, if the RSD value is greater than or equal to the threshold, the liquid quality test result is unqualified, and the experimenter is notified to perform the liquid quality test again;
  • the quality control unit 431 is further configured to, if the RSD value is less than the threshold, the liquid quality test result is qualified, and the liquid quality test result is sent to the server.
  • the liquid quality detection result obtaining module 41 may include:
  • the first liquid quality detection result acquisition unit 411 is configured to acquire historical data of the liquid quality detection result and data of the current liquid quality detection result;
  • the second liquid quality detection result acquisition unit 412 is configured to obtain the liquid quality corresponding to each combination of QC samples, markers, and data types from the historical data of the liquid quality detection results and the current liquid quality detection result data. Test results.
  • the device may further include:
  • the QC report generating module 44 is configured to generate a QC report according to the RSD value corresponding to each combination of QC samples, markers, and data types.
  • Fig. 6 is a block diagram showing a quality control device 800 for liquid quality test results according to an exemplary embodiment.
  • the device 800 may be a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.
  • the device 800 may include one or more of the following components: a processing component 802, a memory 804, a power supply component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, And the communication component 816.
  • the processing component 802 generally controls the overall operations of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations.
  • the processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the foregoing method.
  • the processing component 802 may include one or more modules to facilitate the interaction between the processing component 802 and other components.
  • the processing component 802 may include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.
  • the memory 804 is configured to store various types of data to support operations in the device 800. Examples of these data include instructions for any application or method operating on the device 800, contact data, phone book data, messages, pictures, videos, etc.
  • the memory 804 can be implemented by any type of volatile or nonvolatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic Disk or Optical Disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EPROM erasable Programmable Read Only Memory
  • PROM Programmable Read Only Memory
  • ROM Read Only Memory
  • Magnetic Memory Flash Memory
  • Magnetic Disk Magnetic Disk or Optical Disk.
  • the power supply component 806 provides power to various components of the device 800.
  • the power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 800.
  • the multimedia component 808 includes a screen that provides an output interface between the device 800 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touch, sliding, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure related to the touch or slide operation.
  • the multimedia component 808 includes a front camera and/or a rear camera. When the device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
  • the audio component 810 is configured to output and/or input audio signals.
  • the audio component 810 includes a microphone (MIC), and when the device 800 is in an operation mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive external audio signals.
  • the received audio signal may be further stored in the memory 804 or transmitted via the communication component 816.
  • the audio component 810 further includes a speaker for outputting audio signals.
  • the I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module.
  • the peripheral interface module may be a keyboard, a click wheel, a button, and the like. These buttons may include but are not limited to: home button, volume button, start button, and lock button.
  • the sensor component 814 includes one or more sensors for providing the device 800 with various aspects of status assessment.
  • the sensor component 814 can detect the open/close state of the device 800 and the relative positioning of components.
  • the component is the display and the keypad of the device 800.
  • the sensor component 814 can also detect the position change of the device 800 or a component of the device 800. , The presence or absence of contact between the user and the device 800, the orientation or acceleration/deceleration of the device 800, and the temperature change of the device 800.
  • the sensor component 814 may include a proximity sensor configured to detect the presence of nearby objects when there is no physical contact.
  • the sensor component 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.
  • the communication component 816 is configured to facilitate wired or wireless communication between the device 800 and other devices.
  • the device 800 can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof.
  • the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communication component 816 further includes a near field communication (NFC) module to facilitate short-range communication.
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • the apparatus 800 may be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing equipment (DSPD), programmable logic devices (PLD), field programmable A gate array (FPGA), controller, microcontroller, microprocessor, or other electronic components are implemented to implement the above methods.
  • ASIC application specific integrated circuits
  • DSP digital signal processors
  • DSPD digital signal processing equipment
  • PLD programmable logic devices
  • FPGA field programmable A gate array
  • controller microcontroller, microprocessor, or other electronic components are implemented to implement the above methods.
  • a non-volatile computer-readable storage medium such as the memory 804 including computer program instructions, which can be executed by the processor 820 of the device 800 to complete the foregoing method.
  • Fig. 7 is a block diagram showing a quality control device 1900 for liquid quality detection results according to an exemplary embodiment.
  • the device 1900 may be provided as a server.
  • the apparatus 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932, for storing instructions that can be executed by the processing component 1922, such as application programs.
  • the application program stored in the memory 1932 may include one or more modules each corresponding to a set of instructions.
  • the processing component 1922 is configured to execute instructions to perform the above-described methods.
  • the device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to the network, and an input output (I/O) interface 1958.
  • the device 1900 can operate based on an operating system stored in the memory 1932, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM or the like.
  • a non-volatile computer-readable storage medium such as the memory 1932 including computer program instructions, which can be executed by the processing component 1922 of the device 1900 to complete the foregoing method.
  • the present disclosure may be a system, method, and/or computer program product.
  • the computer program product may include a computer-readable storage medium loaded with computer-readable program instructions for enabling a processor to implement various aspects of the present disclosure.
  • the computer-readable storage medium may be a tangible device that can hold and store instructions used by the instruction execution device.
  • the computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing.
  • Computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) Or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical encoding device, such as a printer with instructions stored thereon
  • RAM random access memory
  • ROM read-only memory
  • EPROM erasable programmable read-only memory
  • flash memory flash memory
  • SRAM static random access memory
  • CD-ROM compact disk read-only memory
  • DVD digital versatile disk
  • memory stick floppy disk
  • mechanical encoding device such as a printer with instructions stored thereon
  • the computer-readable storage medium used here is not interpreted as a transient signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (for example, light pulses through fiber optic cables), or through wires Transmission of electrical signals.
  • the computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to various computing/processing devices, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and/or a wireless network.
  • the network may include copper transmission cables, optical fiber transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers.
  • the network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network, and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing/processing device .
  • the computer program instructions used to perform the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, status setting data, or in one or more programming languages.
  • Source code or object code written in any combination, the programming language includes object-oriented programming languages such as Smalltalk, C++, etc., and conventional procedural programming languages such as "C" language or similar programming languages.
  • Computer-readable program instructions can be executed entirely on the user's computer, partly on the user's computer, executed as a stand-alone software package, partly on the user's computer and partly executed on a remote computer, or entirely on the remote computer or server carried out.
  • the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, using an Internet service provider to access the Internet connection).
  • LAN local area network
  • WAN wide area network
  • an electronic circuit such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), can be personalized by using the status information of the computer-readable program instructions.
  • FPGA field programmable gate array
  • PDA programmable logic array
  • the computer-readable program instructions are executed to realize various aspects of the present disclosure.
  • These computer-readable program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine such that when these instructions are executed by the processor of the computer or other programmable data processing device , A device that implements the functions/actions specified in one or more blocks in the flowchart and/or block diagram is produced. It is also possible to store these computer-readable program instructions in a computer-readable storage medium. These instructions make computers, programmable data processing apparatuses, and/or other devices work in a specific manner, so that the computer-readable medium storing instructions includes An article of manufacture, which includes instructions for implementing various aspects of the functions/actions specified in one or more blocks in the flowchart and/or block diagram.
  • each block in the flowchart or block diagram may represent a module, program segment, or part of an instruction, and the module, program segment, or part of an instruction contains one or more components for realizing the specified logical function.
  • Executable instructions may also occur in a different order than the order marked in the drawings. For example, two consecutive blocks can actually be executed in parallel, or they can sometimes be executed in the reverse order, depending on the functions involved.
  • each block in the block diagram and/or flowchart, and the combination of the blocks in the block diagram and/or flowchart can be implemented by a dedicated hardware-based system that performs the specified functions or actions Or it can be realized by a combination of dedicated hardware and computer instructions.

Abstract

一种液质检测结果的质量控制方法及装置（800，1900），方法包括：针对每种质量控制QC样本、每种标志物以及每种数据类型，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果（S11）；针对QC样本、标志物以及数据类型的每种组合，根据组合对应的液质检测结果，获取组合对应的相对标准偏差RSD值（S12）；根据QC样本、标志物以及数据类型的每种组合对应的RSD值，对液质检测结果进行质量控制（S13）。通过自动化获取液质检测结果、计算RSD值，并自动根据RSD值对液质检测结果进行质量控制，通过液质检测结果的质量控制方法及装置（800，1900），可以提高液质检测结果的质量控制效率，并保证质量控制的正确率。

Description

液质检测结果的质量控制方法及装置 技术领域
本公开涉及医疗检测领域，尤其涉及一种液质检测结果的质量控制方法及装置。
背景技术
对液质检测结果的质量控制(审核)是确保实验操作或仪器无误的关键操作，而现在针对液质检测结果的质量控制是由质控审核人员进行的，这样导致了质控审核效率低，审核结果容易出错的问题，因此，如何高效地、低错误率的对液质检测结果进行质量控制成为亟待解决的问题。
发明内容
有鉴于此，本公开提出了一种液质检测结果的质量控制方法及装置。通过自动化获取液质检测结果、计算RSD值，并自动根据RSD值对液质检测结果进行质量控制，提高了液质检测结果的质量控制效率，并保证了质量控制的正确率。
根据本公开的一方面，提供了一种液质检测结果的质量控制方法，所述方法包括：
针对每种质量控制QC样本、每种标志物以及每种数据类型，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果；
针对QC样本、标志物以及数据类型的每种组合，根据该组合对应的所述液质检测结果，获取该组合对应的相对标准偏差RSD值；
根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，对所述液质检测结果进行质量控制。
在一种可能的实现方式中，根据该组合对应的所述液质检测结果，获取 该组合对应的相对标准偏差RSD值，包括：
计算该组合对应的所述液质检测结果的标准差以及该组合对应的所述液质检测结果的平均值；
将所述标准差与平均值的比值作为该组合对应的相对标准偏差RSD值。
在一种可能的实现方式中，根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，对所述液质检测结果进行质量控制，包括：
若存在RSD值大于或等于阈值，则所述液质检测结果不合格，通知实验员重新进行液质检测；
若存在RSD值小于阈值，则所述液质检测结果合格，将所述液质检测结果发送到服务器。
在一种可能的实现方式中，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果，包括：
获取液质检测结果的历史数据以及当前液质检测结果的数据；
从所述液质检测结果的历史数据以及当前液质检测结果的数据中，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果。
在一种可能的实现方式中，所述方法还包括：
根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，生成QC报告。
根据本公开的另一方面，提供了一种液质检测结果的质量控制装置，所述装置包括：
液质检测结果获取模块，用于针对每种质量控制QC样本、每种标志物以及每种数据类型，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果；
RSD值获取模块，用于针对QC样本、标志物以及数据类型的每种组合，根据该组合对应的所述液质检测结果，获取该组合对应的相对标准偏差RSD值；
质量控制模块，用于根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，对所述液质检测结果进行质量控制。
在一种可能的实现方式中，所述RSD值获取模块包括：
计算单元，用于计算该组合对应的所述液质检测结果的标准差以及该组合对应的所述液质检测结果的平均值；
RSD值获取单元，用于将所述标准差与平均值的比值作为该组合对应的相对标准偏差RSD值。
在一种可能的实现方式中，所述质量控制模块包括：
质量控制单元，用于若存在RSD值大于或等于阈值，则所述液质检测结果不合格，通知实验员重新进行液质检测；
质量控制单元，还用于若存在RSD值小于阈值，则所述液质检测结果合格，将所述液质检测结果发送到服务器。
在一种可能的实现方式中，所述液质检测结果获取模块包括：
第一液质检测结果获取单元，用于获取液质检测结果的历史数据以及当前液质检测结果的数据；
第二液质检测结果获取单元，用于从所述液质检测结果的历史数据以及当前液质检测结果的数据中，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果。
在一种可能的实现方式中，所述装置还包括：
QC报告生成模块，用于根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，生成QC报告。
根据本公开的另一方面，提供了一种液质检测结果的质量控制装置，包括：处理器；用于存储处理器可执行指令的存储器；其中，所述处理器被配置为执行上述方法。
根据本公开的另一方面，提供了一种非易失性计算机可读存储介质，其上存储有计算机程序指令，其中，所述计算机程序指令被处理器执行时实现 上述方法。
通过自动化获取液质检测结果、计算RSD值，并自动根据RSD值对液质检测结果进行质量控制，通过本公开实施例的液质检测结果的质量控制方法及装置，可以提高液质检测结果的质量控制效率，并保证质量控制的正确率。
根据下面参考附图对示例性实施例的详细说明，本公开的其它特征及方面将变得清楚。
附图说明
包含在说明书中并且构成说明书的一部分的附图与说明书一起示出了本公开的示例性实施例、特征和方面，并且用于解释本公开的原理。
图1示出本公开一实施例的液质检测结果的质量控制方法的流程图。
图2示出本公开一实施例的液质检测结果的质量控制方法的流程图。
图3示出本公开一实施例的步骤S13的流程图。
图4示出根据本公开一实施例的液质检测结果的质量控制装置的框图。
图5示出根据本公开一实施例的液质检测结果的质量控制装置的框图。
图6示出根据本公开一实施例的液质检测结果的质量控制装置的框图。
图7示出根据本公开一实施例的液质检测结果的质量控制装置的框图。
具体实施方式
以下将参考附图详细说明本公开的各种示例性实施例、特征和方面。附图中相同的附图标记表示功能相同或相似的元件。尽管在附图中示出了实施例的各种方面，但是除非特别指出，不必按比例绘制附图。
在这里专用的词“示例性”意为“用作例子、实施例或说明性”。这里作为“示例性”所说明的任何实施例不必解释为优于或好于其它实施例。
另外，为了更好的说明本公开，在下文的具体实施方式中给出了众多的具体细节。本领域技术人员应当理解，没有某些具体细节，本公开同样可以 实施。在一些实例中，对于本领域技术人员熟知的方法、手段、元件和电路未作详细描述，以便于凸显本公开的主旨。
本公开可以应用在医疗检测领域中完成液质检测结果后，需要对液质检测结果进行审核的应用场景。执行审核操作的可以是质控审核装置，所述质控审核装置可以为终端或服务器，所述终端可以为计算机、手机或平板电脑等。以计算机进行所述审核为例，当医疗检测机构等完成液质检测结果后，将当前液质检测结果发送到所述计算机进行审核，计算机接收到需要审核的液质检测结果，可以执行本公开的液质检测结果的质量控制方法，实现对当前液质检测结果的审核，给出审核结果(液质检测结果合格或不合格)。
图1示出本公开一实施例的液质检测结果的质量控制方法的流程图。如图1所示，所述方法可以包括：
步骤S11，针对每种质量控制QC样本、每种标志物以及每种数据类型，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果。
所述QC(Quality Control)样本的类型可以为8种，其中，3种浓度梯度的QC样本QCH(QC High)、QCM(QC Middle)、QCL(QC Low)，美国国家标准与技术研究院NIST(National Institute of Standards and Technology)标准品样本的NIST1和NIST2，以及人类混合血清(human pooled serum)的HPS1、HPS2和HPS3。
所述标志物可以为12种，所述标志物可以利用编号来标识标志物。所述数据类型可以包括浓度，峰面积，内标峰面积，或者所述数据类型可以包括与浓度，峰面积，内标峰面积依次对应的type＝0,type＝1,type＝2。所述液质检测结果包括浓度值、峰面积值和内标峰面积值，其中，每种组合对应的液质检测结果可以包括多个。
质控审核装置接收到需要审核的液质检测结果(当前液质检测结果)，则可以获取历史保存的液质检测结果。对于一次实验(一次液质检测)，所述历史液质检测结果可以是以如下历史记录表1的方式保存的：
表1
Figure PCTCN2019115743-appb-000001
上述表1中的AI(auto increment)表示自增；NN(not null)表示此列非空；PK(primary key)表示主键。
从该表1可以看出，一次实验中，液质检测结果为8(QC样本类型个数)*12(标志物类型个数)*3(数据类型个数)＝288个，即每次实验可以包括288 种组合对应的液质检测结果，可以通过288个表1进行存储记录。其中，每一次实验均通过实验记录编号batch_id进行唯一标识，可以是一个batch_id对应288个液质检测结果(288个表1)。
在一种可能的实现方式中，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果，可以包括：获取液质检测结果的历史数据以及当前液质检测结果的数据；从所述液质检测结果的历史数据以及当前液质检测结果的数据中，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果。
举例来说，质控审核装置可以获取历史保存中的100次实验的液质检测结果，则获取历史保存的液质检测结果的个数为100*288＝28800个，然后将接收的液质检测结果与上述获取的28800个历史的液质检测结果相加，获取此次用于质量控制的所有液质检测结果：28800+288＝29088个液质检测结果。
质控审核装置可以从所述29088个液质检测结果中，针对每种质量控制QC样本、每种标志物以及每种数据类型，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果。例如，获取QCH、标志物43以及数据类型2对应的液质检测结果，可以从所述29088个液质检测结果中，将QCH、标志物43以及数据类型2对应的所有value值提取出来，则获取QCH、标志物43以及数据类型2对应的液质检测结果；然后可以从所述29088个液质检测结果中，将QCH、标志物43以及数据类型3对应的所有value值提取出来，则获取QCH、标志物43以及数据类型3对应的液质检测结果；依次类推，可以获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果，其中，所述QC样本、标志物以及数据类型的组合个数为8(QC样本类型个数)*12(标志物类型个数)*3(数据类型个数)＝288个。所述质控审核装置可以获取288个组合对应的液质检测结果。
以上述将QCH、标志物43以及数据类型2对应的所有value值提取出来，则获取QCH、标志物43以及数据类型2对应的液质检测结果为例，获取的QCH、 标志物43以及数据类型2对应的液质检测结果的部分数据可以如下表2所示：
表2
Figure PCTCN2019115743-appb-000002
以上仅仅是获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果的示例，本公开对此不作限定。
步骤S12，针对QC样本、标志物以及数据类型的每种组合，根据该组合对应的所述液质检测结果，获取该组合对应的相对标准偏差RSD值。
质控审核装置可以针对QC样本、标志物以及数据类型的每种组合，根 据该组合对应的所述液质检测结果，获取该组合对应的相对标准偏差RSD值。举例来说，QCL、标志物43以及数据类型2的组合对应n个液质检测结果，可以对该n个液质检测结果计算相对标准偏差RSD值，则可以将计算出的相对标准偏差RSD值作为QCL、标志物43以及数据类型2的组合对应相对标准偏差RSD值。
在一种可能的方式中，质控审核装置可以计算该组合对应的所述液质检测结果的标准差以及该组合对应的所述液质检测结果的平均值；将所述标准差与平均值的比值作为该组合对应的相对标准偏差RSD值。例如，可以通过以下公式进行所述相对标准偏差RSD值的计算：
Figure PCTCN2019115743-appb-000003
其中，n为一种组合对应的液质检测结果的个数，
Figure PCTCN2019115743-appb-000004
为该种组合对应的液质检测结果的平均值，x i为该种组合对应的液质检测结果中第i个液质检测结果，S为该种组合对应的液质检测结果的标准差。
步骤S13，根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，对所述液质检测结果进行质量控制。
由于所述每种组合对应的value在不同实验批次中应该无明显变化，所以不同实验批次计算出来的RSD值应该较小，则可以根据所述RSD值是否较大来确定液质检测结果是否合格。
质控审核装置可以根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值是否存在较大的RSD值，对当前液质检测结果进行质量控制。例如，可以在存在较大的RSD值时，确定当前液质检测结果不合格，通知实验员重新实验；若不存在较大的RSD值，可以确定当前液质检测结果合格，也可以通知实验员，并保存当前液质检测结果。其中，所述较大的RSD值可以根据统计结果设置，或者通过专家设置，本公开对此不作限定。
通过自动化获取液质检测结果、计算RSD值，并自动根据RSD值对液质 检测结果进行质量控制，通过本公开实施例的液质检测结果的质量控制方法及装置，可以提高液质检测结果的质量控制效率，并保证了质量控制的正确率。
图2示出本公开一实施例的液质检测结果的质量控制方法的流程图。如图2所示，在一种可能的实现方式中，所述方法还可以包括：
步骤S14，根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，生成QC报告。
质控审核装置可以将所述质量控制获取的288个RSD值和当前液质检测结果的实验记录编号放置在一个文档中，生成QC报告，可以对该QC报告进行存档。
可选地，在当前液质检测不合格的情况下，还可以将该QC报告发送给实验员以使实验员再次实验中进行参考。
图3示出本公开一实施例的步骤S13的流程图。如图3所示，在一种可能的实现方式中，步骤S13，质控审核装置根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，对所述液质检测结果进行质量控制，可以包括：
步骤S131，若存在RSD值大于或等于阈值，则所述液质检测结果不合格，通知实验员重新进行液质检测；
步骤S132，若存在RSD值小于阈值，则所述液质检测结果合格，将所述液质检测结果发送到服务器。
其中，所述阈值是RSD值变化不合格的临界值，该阈值可以通过统计获得，也可以通过专家预先设置，本公开对此不作限定。
质控审核装置若判断当前液质检测结果不合格，可通知实验员重新进行液质检测，例如以邮件的方式通知；若判断当前液质检测结果合格，质控审核装置可以将当前液质检测结果发送到服务器进行保存，当前液质检测结果可以以所述表1的形式进行保存，并且可以告知实验员审核结果合格。
可选地，在判断当前液质检测结果合格时，质控审核装置还可以将当前液质检测结果对应的用户检测报告保存到微信的服务器，并通知用户可以查看检测报告。
需要说明的是，质控审核装置可以在获取到一个组合对应的RSD值时，直接判断该组合对应的RSD值是否大于或等于所述阈值来确定液质检测结果是否合格；或者，质控审核装置可以获取所述质量控制中所有组合对应的RSD值，然后依次判断所有组合对应的RSD值是否大于或等于所述阈值来确定液质检测结果是否合格，本公开对此不作限定。
图4示出根据本公开一实施例的液质检测结果的质量控制装置的框图。如图4所示，所述装置可以包括：
液质检测结果获取模块41，用于针对每种质量控制QC样本、每种标志物以及每种数据类型，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果；
RSD值获取模块42，用于针对QC样本、标志物以及数据类型的每种组合，根据该组合对应的所述液质检测结果，获取该组合对应的相对标准偏差RSD值；
质量控制模块43，用于根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，对所述液质检测结果进行质量控制。
通过自动化获取液质检测结果、计算RSD值，并自动根据RSD值对液质检测结果进行质量控制，通过本公开实施例的液质检测结果的质量控制装置，可以提高液质检测结果的质量控制效率，并保证了质量控制的正确率。
图5示出根据本公开一实施例的液质检测结果的质量控制装置的框图。如图5所示，在一种可能的实现方式中，所述RSD值获取模块42可以包括：
计算单元421，用于计算该组合对应的所述液质检测结果的标准差以及该组合对应的所述液质检测结果的平均值；
RSD值获取单元422，用于将所述标准差与平均值的比值作为该组合对应的相对标准偏差RSD值。
如图5所示，在一种可能的实现方式中，所述质量控制模块43可以包括：
质量控制单元431，用于若存在RSD值大于或等于阈值，则所述液质检测结果不合格，通知实验员重新进行液质检测；
质量控制单元431，还用于若存在RSD值小于阈值，则所述液质检测结果合格，将所述液质检测结果发送到服务器。
如图5所示，在一种可能的实现方式中，所述液质检测结果获取模块41可以包括：
第一液质检测结果获取单元411，用于获取液质检测结果的历史数据以及当前液质检测结果的数据；
第二液质检测结果获取单元412，用于从所述液质检测结果的历史数据以及当前液质检测结果的数据中，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果。
如图5所示，在一种可能的实现方式中，所述装置还可以包括：
QC报告生成模块44，用于根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，生成QC报告。
关于上述实施例中的装置，其中各个模块和单元执行操作的具体方式已经在有关该方法的实施例中进行了详细描述，此处将不做详细阐述说明。
图6是根据一示例性实施例示出的一种用于液质检测结果的质量控制装置800的框图。例如，装置800可以是移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。
参照图6，装置800可以包括以下一个或多个组件：处理组件802，存储器804，电源组件806，多媒体组件808，音频组件810，输入/输出(I/O)的 接口812，传感器组件814，以及通信组件816。
处理组件802通常控制装置800的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件802可以包括一个或多个处理器820来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件802可以包括一个或多个模块，便于处理组件802和其他组件之间的交互。例如，处理组件802可以包括多媒体模块，以方便多媒体组件808和处理组件802之间的交互。
存储器804被配置为存储各种类型的数据以支持在装置800的操作。这些数据的示例包括用于在装置800上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器804可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件806为装置800的各种组件提供电力。电源组件806可以包括电源管理系统，一个或多个电源，及其他与为装置800生成、管理和分配电力相关联的组件。
多媒体组件808包括在所述装置800和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件808包括一个前置摄像头和/或后置摄像头。当装置800处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦 距和光学变焦能力。
音频组件810被配置为输出和/或输入音频信号。例如，音频组件810包括一个麦克风(MIC)，当装置800处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器804或经由通信组件816发送。在一些实施例中，音频组件810还包括一个扬声器，用于输出音频信号。
I/O接口812为处理组件802和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件814包括一个或多个传感器，用于为装置800提供各个方面的状态评估。例如，传感器组件814可以检测到装置800的打开/关闭状态，组件的相对定位，例如所述组件为装置800的显示器和小键盘，传感器组件814还可以检测装置800或装置800一个组件的位置改变，用户与装置800接触的存在或不存在，装置800方位或加速/减速和装置800的温度变化。传感器组件814可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件814还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件814还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件816被配置为便于装置800和其他设备之间有线或无线方式的通信。装置800可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件816经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件816还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，装置800可以被一个或多个应用专用集成电路 (ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
在示例性实施例中，还提供了一种非易失性计算机可读存储介质，例如包括计算机程序指令的存储器804，上述计算机程序指令可由装置800的处理器820执行以完成上述方法。
图7是根据一示例性实施例示出的一种液质检测结果的质量控制装置1900的框图。例如，装置1900可以被提供为一服务器。参照图7，装置1900包括处理组件1922，其进一步包括一个或多个处理器，以及由存储器1932所代表的存储器资源，用于存储可由处理组件1922的执行的指令，例如应用程序。存储器1932中存储的应用程序可以包括一个或一个以上的每一个对应于一组指令的模块。此外，处理组件1922被配置为执行指令，以执行上述方法。
装置1900还可以包括一个电源组件1926被配置为执行装置1900的电源管理，一个有线或无线网络接口1950被配置为将装置1900连接到网络，和一个输入输出(I/O)接口1958。装置1900可以操作基于存储在存储器1932的操作系统，例如Windows ServerTM，Mac OS XTM，UnixTM,LinuxTM，FreeBSDTM或类似。
在示例性实施例中，还提供了一种非易失性计算机可读存储介质，例如包括计算机程序指令的存储器1932，上述计算机程序指令可由装置1900的处理组件1922执行以完成上述方法。
本公开可以是系统、方法和/或计算机程序产品。计算机程序产品可以包括计算机可读存储介质，其上载有用于使处理器实现本公开的各个方面的计算机可读程序指令。
计算机可读存储介质可以是可以保持和存储由指令执行设备使用的指令的有形设备。计算机可读存储介质例如可以是――但不限于――电存储设备、磁存储设备、光存储设备、电磁存储设备、半导体存储设备或者上述的 任意合适的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、静态随机存取存储器(SRAM)、便携式压缩盘只读存储器(CD-ROM)、数字多功能盘(DVD)、记忆棒、软盘、机械编码设备、例如其上存储有指令的打孔卡或凹槽内凸起结构、以及上述的任意合适的组合。这里所使用的计算机可读存储介质不被解释为瞬时信号本身，诸如无线电波或者其他自由传播的电磁波、通过波导或其他传输媒介传播的电磁波(例如，通过光纤电缆的光脉冲)、或者通过电线传输的电信号。
这里所描述的计算机可读程序指令可以从计算机可读存储介质下载到各个计算/处理设备，或者通过网络、例如因特网、局域网、广域网和/或无线网下载到外部计算机或外部存储设备。网络可以包括铜传输电缆、光纤传输、无线传输、路由器、防火墙、交换机、网关计算机和/或边缘服务器。每个计算/处理设备中的网络适配卡或者网络接口从网络接收计算机可读程序指令，并转发该计算机可读程序指令，以供存储在各个计算/处理设备中的计算机可读存储介质中。
用于执行本公开操作的计算机程序指令可以是汇编指令、指令集架构(ISA)指令、机器指令、机器相关指令、微代码、固件指令、状态设置数据、或者以一种或多种编程语言的任意组合编写的源代码或目标代码，所述编程语言包括面向对象的编程语言—诸如Smalltalk、C++等，以及常规的过程式编程语言—诸如“C”语言或类似的编程语言。计算机可读程序指令可以完全地在用户计算机上执行、部分地在用户计算机上执行、作为一个独立的软件包执行、部分在用户计算机上部分在远程计算机上执行、或者完全在远程计算机或服务器上执行。在涉及远程计算机的情形中，远程计算机可以通过任意种类的网络—包括局域网(LAN)或广域网(WAN)—连接到用户计算机，或者，可以连接到外部计算机(例如利用因特网服务提供商来通过因特 网连接)。在一些实施例中，通过利用计算机可读程序指令的状态信息来个性化定制电子电路，例如可编程逻辑电路、现场可编程门阵列(FPGA)或可编程逻辑阵列(PLA)，该电子电路可以执行计算机可读程序指令，从而实现本公开的各个方面。
这里参照根据本公开实施例的方法、装置(系统)和计算机程序产品的流程图和/或框图描述了本公开的各个方面。应当理解，流程图和/或框图的每个方框以及流程图和/或框图中各方框的组合，都可以由计算机可读程序指令实现。
这些计算机可读程序指令可以提供给通用计算机、专用计算机或其它可编程数据处理装置的处理器，从而生产出一种机器，使得这些指令在通过计算机或其它可编程数据处理装置的处理器执行时，产生了实现流程图和/或框图中的一个或多个方框中规定的功能/动作的装置。也可以把这些计算机可读程序指令存储在计算机可读存储介质中，这些指令使得计算机、可编程数据处理装置和/或其他设备以特定方式工作，从而，存储有指令的计算机可读介质则包括一个制造品，其包括实现流程图和/或框图中的一个或多个方框中规定的功能/动作的各个方面的指令。
也可以把计算机可读程序指令加载到计算机、其它可编程数据处理装置、或其它设备上，使得在计算机、其它可编程数据处理装置或其它设备上执行一系列操作步骤，以产生计算机实现的过程，从而使得在计算机、其它可编程数据处理装置、或其它设备上执行的指令实现流程图和/或框图中的一个或多个方框中规定的功能/动作。
附图中的流程图和框图显示了根据本公开的多个实施例的系统、方法和计算机程序产品的可能实现的体系架构、功能和操作。在这点上，流程图或框图中的每个方框可以代表一个模块、程序段或指令的一部分，所述模块、程序段或指令的一部分包含一个或多个用于实现规定的逻辑功能的可执行指令。在有些作为替换的实现中，方框中所标注的功能也可以以不同于附图 中所标注的顺序发生。例如，两个连续的方框实际上可以基本并行地执行，它们有时也可以按相反的顺序执行，这依所涉及的功能而定。也要注意的是，框图和/或流程图中的每个方框、以及框图和/或流程图中的方框的组合，可以用执行规定的功能或动作的专用的基于硬件的系统来实现，或者可以用专用硬件与计算机指令的组合来实现。
以上已经描述了本公开的各实施例，上述说明是示例性的，并非穷尽性的，并且也不限于所披露的各实施例。在不偏离所说明的各实施例的范围和精神的情况下，对于本技术领域的普通技术人员来说许多修改和变更都是显而易见的。本文中所用术语的选择，旨在最好地解释各实施例的原理、实际应用或对市场中的技术的技术改进，或者使本技术领域的其它普通技术人员能理解本文披露的各实施例。

Claims (12)

  1. 一种液质检测结果的质量控制方法，其特征在于，包括：
    针对每种质量控制QC样本、每种标志物以及每种数据类型，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果；
    针对QC样本、标志物以及数据类型的每种组合，根据该组合对应的所述液质检测结果，获取该组合对应的相对标准偏差RSD值；
    根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，对所述液质检测结果进行质量控制。
  2. 根据权利要求1所述的方法，其特征在于，根据该组合对应的所述液质检测结果，获取该组合对应的相对标准偏差RSD值，包括：
    计算该组合对应的所述液质检测结果的标准差以及该组合对应的所述液质检测结果的平均值；
    将所述标准差与平均值的比值作为该组合对应的相对标准偏差RSD值。
  3. 根据权利要求1所述的方法，其特征在于，根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，对所述液质检测结果进行质量控制，包括：
    若存在RSD值大于或等于阈值，则所述液质检测结果不合格，通知实验员重新进行液质检测；
    若存在RSD值小于阈值，则所述液质检测结果合格，将所述液质检测结果发送到服务器。
  4. 根据权利要求1所述的方法，其特征在于，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果，包括：
    获取液质检测结果的历史数据以及当前液质检测结果的数据；
    从所述液质检测结果的历史数据以及当前液质检测结果的数据中，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果。
  5. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，生成QC报告。
  6. 一种液质检测结果的质量控制装置，其特征在于，包括：
    液质检测结果获取模块，用于针对每种质量控制QC样本、每种标志物以及每种数据类型，获取与QC样本、标志物以及数据类型的每种组合对应 的液质检测结果；
    RSD值获取模块，用于针对QC样本、标志物以及数据类型的每种组合，
    根据该组合对应的所述液质检测结果，获取该组合对应的相对标准偏差RSD值；
    质量控制模块，用于根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，对所述液质检测结果进行质量控制。
  7. 根据权利要求6所述的装置，其特征在于，所述RSD值获取模块包括：
    计算单元，用于计算该组合对应的所述液质检测结果的标准差以及该组合对应的所述液质检测结果的平均值；
    RSD值获取单元，用于将所述标准差与平均值的比值作为该组合对应的相对标准偏差RSD值。
  8. 根据权利要求6所述的装置，其特征在于，所述质量控制模块包括：
    质量控制单元，用于若存在RSD值大于或等于阈值，则所述液质检测结果不合格，通知实验员重新进行液质检测；
    质量控制单元，还用于若存在RSD值小于阈值，则所述液质检测结果合格，将所述液质检测结果发送到服务器。
  9. 根据权利要求6所述的装置，其特征在于，所述液质检测结果获取模块包括：
    第一液质检测结果获取单元，用于获取液质检测结果的历史数据以及当前液质检测结果的数据；
    第二液质检测结果获取单元，用于从所述液质检测结果的历史数据以及当前液质检测结果的数据中，获取与QC样本、标志物以及数据类型的每种组合对应的液质检测结果。
  10. 根据权利要求6所述的装置，其特征在于，所述装置还包括：
    QC报告生成模块，用于根据QC样本、标志物以及数据类型的每种组合对应的所述RSD值，生成QC报告。
  11. 一种液质检测结果的质量控制装置，其特征在于，包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为执行所述指令以实现权利要求1-5中任一项所述的方法。
  12. 一种非易失性计算机可读存储介质，其上存储有计算机程序指令，其特征在于，所述计算机程序指令被处理器执行时实现权利要求1至5中任意一项所述的方法。
PCT/CN2019/115743 2018-09-14 2019-11-05 液质检测结果的质量控制方法及装置 WO2020164261A1 (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
CN201811072518 2018-09-14
CN201910112519.1 2019-02-13
CN201910112519.1A CN109765390A (zh) 2018-09-14 2019-02-13 液质检测结果的质量控制方法及装置

Publications (1)

Publication Number Publication Date
WO2020164261A1 true WO2020164261A1 (zh) 2020-08-20

Family

ID=66456000

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/115743 WO2020164261A1 (zh) 2018-09-14 2019-11-05 液质检测结果的质量控制方法及装置

Country Status (2)

Country Link
CN (1) CN109765390A (zh)
WO (1) WO2020164261A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109765390A (zh) * 2018-09-14 2019-05-17 苏州帕诺米克生物医药科技有限公司 液质检测结果的质量控制方法及装置

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6606574B2 (en) * 2000-11-08 2003-08-12 Mitsubishi Denki Kabushiki Quality control method for product production apparatus
CN1932515A (zh) * 2005-09-12 2007-03-21 株式会社日立高新技术 自动分析装置
CN101275966A (zh) * 2007-03-30 2008-10-01 株式会社日立高新技术 自动分析装置
CN101498735A (zh) * 2008-01-31 2009-08-05 株式会社日立高新技术 自动分析装置
CN102279276A (zh) * 2010-05-27 2011-12-14 希森美康株式会社 样本处理装置及容器架运送方法
CN109765390A (zh) * 2018-09-14 2019-05-17 苏州帕诺米克生物医药科技有限公司 液质检测结果的质量控制方法及装置

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5147906B2 (ja) * 2010-07-22 2013-02-20 株式会社日立ハイテクノロジーズ 精度管理システム
US10613081B2 (en) * 2016-11-27 2020-04-07 Alireza Palangi Quality control system and kit for automated ELISA devices

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6606574B2 (en) * 2000-11-08 2003-08-12 Mitsubishi Denki Kabushiki Quality control method for product production apparatus
CN1932515A (zh) * 2005-09-12 2007-03-21 株式会社日立高新技术 自动分析装置
CN101275966A (zh) * 2007-03-30 2008-10-01 株式会社日立高新技术 自动分析装置
CN101498735A (zh) * 2008-01-31 2009-08-05 株式会社日立高新技术 自动分析装置
CN102279276A (zh) * 2010-05-27 2011-12-14 希森美康株式会社 样本处理装置及容器架运送方法
CN109765390A (zh) * 2018-09-14 2019-05-17 苏州帕诺米克生物医药科技有限公司 液质检测结果的质量控制方法及装置

Also Published As

Publication number Publication date
CN109765390A (zh) 2019-05-17

Similar Documents

Publication Publication Date Title
TWI781359B (zh) 人臉和人手關聯檢測方法及裝置、電子設備和電腦可讀儲存媒體
CN106202330B (zh) 垃圾信息的判断方法及装置
US20200387795A1 (en) Super network training method and device
WO2020155609A1 (zh) 一种目标对象处理方法、装置、电子设备及存储介质
WO2017071078A1 (zh) 通讯模组固件和插件生成方法及装置
WO2021036382A1 (zh) 图像处理方法及装置、电子设备和存储介质
TW202113757A (zh) 目標對象匹配方法及目標對象匹配裝置、電子設備和電腦可讀儲存媒介
WO2021104009A1 (zh) 电路原理图检查方法、装置及系统
WO2018157630A1 (zh) 关联用户推荐方法及装置
CN110858924B (zh) 视频背景音乐的生成方法、装置及存储介质
WO2021098256A1 (zh) 一种预测方法及装置、电子设备和存储介质
TWI785638B (zh) 目標檢測方法、電子設備和電腦可讀儲存介質
CN114240882A (zh) 缺陷检测方法及装置、电子设备和存储介质
CN106599191B (zh) 用户属性分析方法及装置
WO2022017140A1 (zh) 目标检测方法及装置、电子设备和存储介质
WO2021103994A1 (zh) 用于信息推荐的模型训练方法、装置、电子设备以及介质
WO2018188410A1 (zh) 反馈的响应方法及装置
WO2022179080A1 (zh) 定位方法、装置、电子设备、存储介质、程序及产品
WO2020164261A1 (zh) 液质检测结果的质量控制方法及装置
CN111125388B (zh) 多媒体资源的检测方法、装置及设备和存储介质
WO2017096952A1 (zh) 信息推送方法及装置
CN109460458B (zh) 查询改写意图的预测方法及装置
CN110121115B (zh) 精彩视频片段的确定方法及装置
CN110659625A (zh) 物体识别网络的训练方法及装置、电子设备和存储介质
CN115098390A (zh) 自动化测试方法、装置、存储介质和电子设备

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19915544

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19915544

Country of ref document: EP

Kind code of ref document: A1