Electronic device and method for determining suitability of re-test for each test item

Abstract

An electronic device for determining the suitability of a re-test for each test item, according to one embodiment of the present invention, may comprise a processor, which: acquires, for each test item, original test information and re-test information about patients; uses the original test information and the re-test information on the basis of a criterion for determining whether an error occurs during a test, thereby determining whether an error in the original test has occurred; and identifies a re-test frequency and an error frequency for each test item on the basis of a determined error.

Description

Electronic device and method for determining suitability for re-inspection by inspection item

[0001] The present invention relates to an electronic device and method for determining suitability for re-inspection for each inspection item.

[0002] In clinical laboratories targeting clinical patients, errors in testing are reported to occur in 0.05% to 0.61% of all tests. Approximately 80% of these errors occur before or after the test item detection process, while errors during sample analysis during the actual test item detection process account for the remaining 20%.

[0003] Causes of error before sample analysis include test prescription errors, specimen container errors, inappropriate sample collection, improper sample transport, and sample substitution. Causes of error after sample analysis include incorrect test result entry. Causes of error during sample analysis include calibration errors, equipment malfunction, pipette malfunction, reagent errors, and interference within the sample.

[0004] Significant efforts have been made to reduce errors occurring throughout the entire testing process. To reduce instances of sample mixups and error-prone results, barcoding has been introduced. Furthermore, significant efforts have been made to visually inspect sample conditions to reduce errors caused by inappropriate samples. Pre-test quality control, utilizing quality control (QC) materials to pre-test reagent and test equipment, is another approach to reducing errors. Furthermore, to reduce random errors during sample analysis, retesting is performed if an error in the test result is suspected.

[0005] The frequency of retesting to reduce errors (errors in the analytical phase) during specimen analysis in clinical laboratories varies widely, ranging from 0.1% to 5%. While retesting is highly frequent in clinical laboratories that prioritize the risk of test errors, retesting is virtually nonexistent in those that are indifferent to test errors.

[0006] This discrepancy in retesting frequency stems from the lack of standardized criteria for retesting for each test item. The lack of published standard retesting criteria stems from the diversity of reagents and testing equipment used for specimen testing. Consequently, each reagent exhibits different measurement values ​​and performance differences, including accuracy, making it difficult to apply a single standard across a wide range of reagents. The same holds true for equipment.

[0007] However, even in this reality, efforts to reduce errors during specimen analysis through retesting are necessary. This is because failure to perform retesting for erroneous test results can lead to incorrect results being reported to clinicians, potentially negatively impacting patient care.

[0008] While retesting is performed to reduce errors during inspection analysis, it incurs costs such as reagent costs, personnel costs, time delays in inspection notifications, and reduced equipment lifespan due to increased inspection volume. Therefore, indiscriminately performing retests at a high frequency incurs significant costs. Therefore, it is necessary to conduct retests at an appropriate frequency for each inspection item, such as retesting frequently for inspection items with high errors and less frequently for inspection items with low errors.

[0009] The purpose of the present invention is to provide an electronic device and method capable of accurately identifying the status of test errors for test items in each clinical laboratory, setting an appropriate retest frequency, and identifying the appropriateness of a test method.

[0010] In an electronic device for determining suitability of re-examination for each test item according to one embodiment of the present invention, a processor may be included that obtains original test information and re-examination information of patients for each test item, determines whether there is an error in the original test using the original test information and the re-examination information based on a criterion for determining whether there is an error during the test, and identifies the re-examination frequency and error frequency for each test item based on the determined error.

[0011] The processor may receive a first reference value for the relative difference between the original inspection value of the original inspection information and the re-inspection value of the re-inspection information and a second reference value for the absolute difference, and may determine whether there is an error based on the first reference value or the second reference value.

[0012] The above processor can apply the first reference value or the second reference value based on a predefined range for the inspection value for each inspection item.

[0013] The processor may calculate a re-inspection rate and an error rate according to a re-inspection frequency and an error frequency per cycle, and provide error frequency information including at least one of the re-inspection frequency, the error frequency, the re-inspection rate, and the error rate.

[0014] The processor can identify re-examination suitability information including at least one of re-examination recommendation information for each inspection item, re-examination reason information, and safety information of the inspection equipment based on the error frequency information.

[0015] The above processor can identify the re-examination recommendation information based on the error frequency or the error rate.

[0016] The above processor can identify error frequency information for each inspection equipment and compare the error frequency information to identify safety information of the inspection equipment.

[0017] A method for determining suitability of a re-examination for each test item performed by an electronic device according to one embodiment of the present invention may include: a step of obtaining original test information and re-examination information of patients for each test item; a step of determining whether there is an error in the original test using the original test information and the re-examination information based on a criterion for determining whether there is an error during the test; and a step of identifying a re-examination frequency and an error frequency for each test item based on the determined error.

[0018] The step of determining whether there is an error may include the step of receiving a first reference value for the relative difference between the original inspection value of the original inspection information and the re-inspection value of the re-inspection information and a second reference value for the absolute difference; and the step of determining whether there is an error based on the first reference value or the second reference value.

[0019] The step of determining whether there is an error may include a step of applying the first reference value or the second reference value based on a predefined range for the inspection value for each inspection item.

[0020] The method may further include a step of calculating a re-inspection rate and an error rate according to a re-inspection frequency and an error frequency per cycle; and a step of providing error frequency information including at least one of the re-inspection frequency, the error frequency, the re-inspection rate, and the error rate.

[0021] The method may further include a step of identifying re-examination suitability information including at least one of re-examination recommendation information for each inspection item, re-examination reason information, and safety information of inspection equipment based on the error frequency information.

[0022] The step of identifying the re-examination suitability information may include a step of identifying the re-examination recommendation information based on the error frequency or the error rate.

[0023] The step of identifying the re-examination suitability information may include a step of identifying error frequency information for each inspection equipment; and a step of comparing the error frequency information to identify safety information of the inspection equipment.

[0024] According to one embodiment of the present invention, by checking the frequency of inspection errors, the effectiveness of re-inspection for inspection items can be reconsidered.

[0025] According to one embodiment of the present invention, by adjusting the re-examination frequency according to the examination error frequency rate, various costs arising from indiscriminate re-examination can be drastically reduced, and the patient's condition can be correctly judged, enabling faster treatment.

[0026] According to one embodiment of the present invention, unnecessary re-examinations can be reduced, test results can be quickly notified, and patients can be treated in a timely manner.

[0027] According to one embodiment of the present invention, the frequency of re-examination is adjusted according to the frequency of test errors, thereby increasing the frequency of re-examination in tests in which errors occur frequently, thereby providing more accurate test results and helping in patient treatment.

[0028] FIG. 1 is a schematic diagram illustrating the operation of an electronic device according to one embodiment of the present invention.

[0029] FIG. 2 is a block diagram illustrating the configuration of an electronic device according to one embodiment of the present invention.

[0030] FIG. 3 is a diagram illustrating an operation flow chart of an electronic device according to one embodiment of the present invention.

[0031] FIG. 4 is a diagram illustrating inspection information according to one embodiment of the present invention.

[0032] FIG. 5 is a diagram illustrating error frequency information according to one embodiment of the present invention.

[0033] FIG. 6 is a diagram illustrating re-examination suitability information according to one embodiment of the present invention.

[0034] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The detailed description set forth below, together with the accompanying drawings, is intended to explain exemplary embodiments of the present invention and is not intended to represent the only embodiments in which the present invention may be practiced. In the drawings, portions irrelevant to the description may be omitted for clarity in describing the present invention, and the same reference numerals may be used throughout the specification for identical or similar components.

[0035] FIG. 1 is a schematic diagram illustrating the operation of an electronic device according to one embodiment of the present invention.

[0036] An electronic device (100) according to one embodiment of the present invention is a device that determines the suitability of re-inspection for each inspection item, and can be implemented as a computer, server, smart phone, tablet PC, smart pad, laptop, etc. The electronic device (100) operates as an element of a laboratory information system (LIS).

[0037] The electronic device (100) can obtain original examination information (10) and re-examination information (20) for patients for each examination item. The original examination information (10) may be information including examination values ​​(referred to as original examination values) and examination items according to an initial examination or an examination prior to the re-examination. The re-examination information (20) is information that serves as a standard for determining whether the original examination was erroneous, and may include examination values ​​(re-examination values) according to the re-examination, reasons for the re-examination, etc.

[0038] The electronic device (100) can identify error frequency information (30) and re-inspection suitability information (40) using the original inspection information (10) and re-inspection information (20). The error frequency information (30) is information indicating the frequency of errors in the original inspection, and may include, in addition to the error frequency, an error rate, a re-inspection frequency, a re-inspection rate, etc. The re-inspection suitability information (40) is information indicating whether a re-inspection for the corresponding inspection item is suitable.

[0039] As previously described, clinical laboratories perform retesting to reduce errors during specimen testing. However, retesting is often performed indiscriminately or inadequately due to lack of standards. This leads to unnecessary costs in clinical testing and increases the frequency of errors, making proper patient care and treatment impossible. Therefore, a method to efficiently perform retesting is critically needed.

[0040] The present invention proposes a method for utilizing the results of retesting not only to confirm test values, but also to identify the frequency of test errors and further determine the appropriateness of retesting. If retesting of clinical tests is properly implemented, quality control in clinical laboratories will be dramatically improved, and significant cost savings will also be achieved.

[0041] Hereinafter, the configuration and operation of an electronic device according to one embodiment of the present invention will be specifically described with reference to the drawings.

[0042] FIG. 2 is a block diagram illustrating the configuration of an electronic device according to one embodiment of the present invention.

[0043] An electronic device (100) according to one embodiment of the present invention may include an input unit (110), a communication unit (120), a display unit (130), a storage unit (140), and a processor (150).

[0044] The input unit (110) generates input data in response to user input of the electronic device (100). For example, the user input may be a user input that initiates the operation of the electronic device (100), a user input that inputs an original test value, a user input that inputs a retest value, a user input that inputs a reason for a retest, a user input that inputs a test value (original test value, retest value, average value, etc.) to be notified to a clinician, a user input that inputs a criterion for determining whether there is an error during the test, etc. In addition, if it is a user input necessary for identifying the error frequency for each test item and determining the suitability of a retest, it may be applied without limitation.

[0045] The input unit (110) includes at least one input means. The input unit (110) may include a keyboard, a key pad, a dome switch, a touch panel, a touch key, a mouse, a menu button, etc.

[0046] The communication unit (120) can perform communication with external devices such as servers, inspection equipment, and separate user terminals to transmit and receive original inspection information, re-inspection information, error frequency information, re-inspection suitability information, etc.

[0047] To this end, the communication unit (120) can perform wireless communication such as 5G (5th generation communication), LTE-A (long term evolution-advanced), LTE (long term evolution), Wi-Fi (wireless fidelity), Bluetooth, or wired communication such as LAN (local area network), WAN (Wide Area Network), and power line communication.

[0048] The display unit (130) displays display data according to the operation of the electronic device (100). The display unit (130) can display a screen displaying original inspection information, a screen displaying re-inspection information, a screen displaying error frequency information, a screen displaying re-inspection suitability information, a screen receiving user input, etc.

[0049] The display unit (130) includes a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, a micro electro mechanical systems (MEMS) display, and an electronic paper display. The display unit (130) may be implemented as a touch screen by being combined with the input unit (110).

[0050] The storage unit (140) can store operation programs of the electronic device (100). The storage unit (140) can include non-volatile storage that can preserve data (information) regardless of whether power is supplied, and volatile memory that cannot preserve data when power is not supplied and into which data to be processed by the processor (150) is loaded. The storage includes flash memory, hard-disk drive (HDD), solid-state drive (SSD), read-only memory (ROM), etc., and the memory includes buffer, random access memory (RAM), etc.

[0051] The storage unit (140) can store original inspection information, re-inspection information, error frequency information, re-inspection suitability information, etc. The storage unit (140) can store operation programs, etc., required in the process of acquiring information, determining whether there is an error, identifying re-inspection frequency and error frequency, calculating re-inspection rate and error rate, identifying error frequency information and re-inspection suitability information, etc.

[0052] The processor (150) can control at least one other component (e.g., hardware or software component) of the electronic device (100) by executing software such as a program, and can perform various data processing or operations.

[0053] A processor (150) according to one embodiment of the present invention obtains original examination information and re-examination information of patients for each examination item, determines whether there is an error in the original examination using the original examination information and the re-examination information based on a criterion for determining whether there is an error during the examination, and identifies the re-examination frequency and error frequency for each examination item based on the determined error.

[0054] The processor (150) can generate a user interface (Graphical User Interface, GUI) for receiving user input through the input unit (110). For example, the processor (150) can generate a user interface in the form of a data table structure so that information for determining the suitability of a re-examination can be input.

[0055] Meanwhile, the processor (150) may perform at least a portion of the data analysis, processing, and result information generation for performing the above operations using at least one of a machine learning, neural network, or deep learning algorithm as a rule-based or artificial intelligence algorithm. Examples of the neural network may include models such as a CNN (Convolutional Neural Network), a DNN (Deep Neural Network), an RNN (Recurrent Neural Network), and a Vision Transformer.

[0056] FIG. 3 is a diagram illustrating an operation flow chart of an electronic device according to one embodiment of the present invention.

[0057] According to one embodiment of the present invention, the processor (150) can obtain original examination information and re-examination information of patients for each examination item (S10).

[0058] The processor (150) can obtain original inspection information and re-inspection information from the inspection equipment or from the database of the inspection information system via the communication unit (120). Alternatively, the processor (150) can obtain the original inspection information and re-inspection information by receiving user input for inputting the original inspection information and re-inspection information via the input unit (110). In this way, there are various paths for obtaining the original inspection information and re-inspection information, and they are not limited to any one.

[0059] According to one embodiment of the present invention, the processor (150) can determine whether there is an error in the original inspection by using the original inspection information and the re-inspection information based on a criterion for determining whether there is an error during the inspection (hereinafter, also referred to as an error determination criterion) (S20).

[0060] The processor (150) can determine whether there is an error based on the difference between the original inspection value of the original inspection information and the re-inspection value of the re-inspection information. At this time, the difference can be expressed as a relative difference (100 x (re-inspection value - original inspection value) / original inspection value) or an absolute difference (re-inspection value - original inspection value), and the processor (150) can receive an error judgment criterion including a first reference value for the relative difference and a second reference value for the absolute difference. The processor (150) can receive a user input for inputting an error judgment criterion or receive information including the error judgment criterion from the outside. At this time, it is obvious that the error judgment criterion can be set for each inspection item, each inspection equipment, and each inspection reagent.

[0061] The processor (150) can determine whether there is an error based on the first reference value or the second reference value, and can apply the first reference value or the second reference value based on a predefined range for the test value for each test item. That is, depending on the test value, either the absolute difference or the relative difference can be compared. For example, when the test value itself is small, comparing the absolute difference rather than the relative difference can increase the accuracy of determining whether there is an error. In addition, the processor (150) can receive a user input for selecting whether to apply the relative difference or the absolute difference for the corresponding test item.

[0062] Accordingly, the processor (150) can be set to apply an absolute difference within a predefined range of the test value and to apply a relative difference in the remaining range.

[0063] In addition, in the case of qualitative inspection, the processor (150) may determine whether there is an error based on the discrepancy between the original inspection value and the re-inspection value.

[0064] According to one embodiment of the present invention, the processor (150) can identify the re-inspection frequency and error frequency for each inspection item based on the determined error (S30).

[0065] The processor (150) can calculate a re-inspection rate and error rate based on the re-inspection frequency and error frequency per cycle. The re-inspection rate and error rate can be calculated on a daily, weekly, monthly, or yearly basis, or can be calculated by setting the entire period or a specific period.

[0066] In addition to the cycle, the processor (150) can set a range of the original inspection values ​​to determine the difference in error frequency according to the range of the original inspection values ​​and calculate the re-inspection frequency, error frequency, re-inspection rate, and error rate by range.

[0067] Meanwhile, the processor (150) may exclude certain items when calculating error frequency. For example, this may include cases where the original test value falls outside the Analytical Measurement Range (AMR). To this end, the processor (150) may receive user input for entering the measurable range for each test item, or receive measurable range information from an external source.

[0068] The processor (150) may provide error frequency information including at least one of a re-examination frequency, an error frequency, a re-examination rate, and an error rate. Examples of error frequency information are as shown in Table 1 below.

[0069] Inspection itemsTotal number of inspections (N)Re-inspections (N)Re-inspection rate (%)Number of errors during the entire period (N)Error rate during the entire period (%)Average monthly error rateMonthly error rateStandard deviationGlucose114202937670.33280.740.79%1.26%Total bilirubin106918235210.33240.680.69%1.23%Cr143264665590.461011.541.43%1.64%AST136305426400.1930.110.15%0.61%ALT136320824110.1810.040.00%0.00% ALP68397214780.2270.470.17%2.27%Gamma-GT35403220290.5730.150.09%0.40%L DH55421632500.59260.801.01%1.90%CPK62488840830.65601.471.91%4.59%Total protein108822512420.1120.160.13%0.66%Albumin112700711580.1010.090.09%0.68%Na125824562070.49110.180.15%0 .35%K127232068380.54510.750.72%0.98%Cl94205933020.3580.240.16%0.41%Ca74904315220.20201.311.45%3.76%P6800 2221960.32200.910.84%1.79%Mg4849819340.19151.611.56%3.55%Cholesterol54574210360.19555.315.05%6.22%LDL-C hol2289364350.1992.071.77%6.68%HDL-Chol3994794330.1192.082.38%5.85%TG51556912250.24120.981.11%2.26%Total CO2546196051.1111919.6717.82%15.57%Ammonia8184917662.1629216.5317.10%12.31%

[0070] Looking at Table 1, it shows the total number of tests (N), number of retests (N), retest rate (%), number of errors over the entire period (N), error rate over the entire period (%), monthly average error rate, and monthly standard deviation of error rate. It goes without saying that the format and included information of error frequency information are not limited to this. For example, when presenting error frequency information, it can be presented as a daily, weekly, monthly, or yearly frequency table for a single test item, and the frequency by cycle can be represented as a graph. Furthermore, error frequencies can be calculated by retest reason, test equipment, and reagent.

[0071] According to one embodiment of the present invention, by checking the frequency of inspection errors, the effectiveness of re-inspection for inspection items can be reconsidered.

[0072] According to one embodiment of the present invention, by adjusting the re-examination frequency according to the examination error frequency rate, various costs arising from indiscriminate re-examination can be drastically reduced, and the patient's condition can be correctly judged, enabling faster treatment.

[0073] According to one embodiment of the present invention, by reducing unnecessary re-examinations, the test results are quickly reported to the clinic, thereby enabling the clinician to treat the patient in a timely manner, thereby increasing the treatment effect of the disease.

[0074] According to one embodiment of the present invention, when the error rate is high, the frequency of re-examination is increased according to the test error frequency rate, thereby notifying the patient of more accurate test results, thereby increasing the treatment effect of the disease.

[0075] FIG. 4 is a diagram illustrating inspection information according to one embodiment of the present invention.

[0076] The test information (400) illustrated in Figure 4 may include test items, test equipment information, reagent information, original test values, retest values, reasons for retesting, and clinical notification values, and may also include additional information. In this case, each piece of information may be stored and managed separately, and it is understood that one or more pieces of information may be integrated.

[0077] At this time, the retest value can be stored in accordance with the reason for the retest. The reason for the retest can be entered by selecting one of multiple predefined reasons for retesting or by user input. The clinical notification value can be the original test value, the retest value, or an average of these values, and can be appropriately selected based on the test characteristics.

[0078] FIG. 5 is a diagram illustrating error frequency information according to one embodiment of the present invention.

[0079] The error frequency information (500) illustrated in Figure 5 may include retest frequency, error frequency, retest rate, error rate, and the difference between the retest and original test values, and may also include additional information. Similarly, each piece of information may be stored and managed separately, or one or more pieces of information may be integrated.

[0080] FIG. 6 is a diagram illustrating re-examination suitability information according to one embodiment of the present invention.

[0081] The retest suitability information (600) illustrated in Figure 6 may include retest recommendation information, retest reason information, test equipment stability information, and reagent stability information, and may also include additional information. Furthermore, the retest suitability information (600) may include information regarding countermeasures that are presented differently depending on the error frequency or error rate range. Similarly, each piece of information may be stored and managed separately, or one or more pieces of information may be integrated.

[0082] The processor (150) can identify re-examination suitability information (600) including at least one of re-examination recommendation information for each inspection item, re-examination reason information, safety information of inspection equipment, and stability information of reagents based on error frequency information (500).

[0083] Retest recommendation information is information regarding whether retesting of a test item is appropriate based on the error frequency of the test item. The processor (150) can identify retest recommendation information based on the error frequency or error rate of the error frequency information (500).

[0084] For example, referring to Table 1, the item with the highest overall error rate during the test period was Total CO2, while the item with the lowest error rate was ALT, at 0.04%. Similarly, items with error rates in the 0.1% range—AST, ALT, ALP, Gamma-GT, Total protein, Albumin, Na, and Cl—can be considered to have low retest utility.

[0085] Specifically, the processor (150) can set a threshold value for whether a retest is necessary based on the error frequency or error rate, and can determine whether to recommend a retest based on the set threshold value. For example, the retest recommendation information can include information that items below the threshold value, such as AST, ALT, ALP, Gamma-GT, Total protein, Albumin, Na, and Cl, do not require a retest when a test error occurs, and conversely, information that items exceeding the threshold value require a retest when a test error occurs.

[0086] Meanwhile, for items that significantly exceed the standard, such as Total CO2, information can be provided to confirm whether there is an error in the testing equipment or reagent, analyze other factors affecting the error rate, or provide guidance indicating the need for further analysis. Furthermore, the number of delta checks and panic checks used for automatic verification of test results can be analyzed to adjust the retest recommendation information.

[0087] The processor (150) can provide information on the reason for re-examination of the relevant inspection item together with re-examination recommendation information.

[0088] The processor (150) can identify error frequency information (500) for each inspection equipment and compare the error frequency information (500) to identify at least one of safety information of the inspection equipment and stability information of the reagent.

[0089] Test items may have different test performances and error frequencies or error rates depending on the testing equipment or reagents used. Error frequency information (500) can be used to determine whether specific testing equipment and / or reagents affect the error rate and to select testing equipment or reagents with a lower error rate.

[0090] According to one embodiment of the present invention, by comparing the error frequencies occurring in each test item, the stability and effectiveness of the equipment or reagents for each test item can be indirectly assessed. This provides an opportunity to discontinue use of existing equipment or reagents for test items with a high error frequency and replace them with newer testing methods with lower error rates.

[0091] According to one embodiment of the present invention, when a new inspection method is introduced for a specific inspection item, it is possible to evaluate whether the replaced equipment (or reagent) is more stable and accurate than the previous equipment (or reagent).

Claims

1. In an electronic device that determines the suitability of re-inspection for each inspection item, Obtain original and re-examination information for patients by examination item, Based on the criteria for determining whether there is an error during the inspection, the original inspection information and the re-inspection information are used to determine whether there is an error in the original inspection, An electronic device including a processor that identifies a re-inspection frequency and an error frequency for each inspection item based on the determined error status.

2. In paragraph 1, The above processor, Receive a first reference value for the relative difference between the original inspection value of the original inspection information and the re-inspection value of the re-inspection information, and a second reference value for the absolute difference, An electronic device that determines whether there is an error based on the first reference value or the second reference value.

3. In paragraph 2, The above processor, An electronic device that applies the first reference value or the second reference value based on a predefined range for the inspection value for each inspection item.

4. In paragraph 1, The above processor, Calculate the re-inspection rate and error rate based on the re-inspection frequency and error frequency per period, An electronic device providing error frequency information including at least one of the re-examination frequency, error frequency, re-examination rate, and error rate.

5. In paragraph 4, The above processor, An electronic device that identifies re-examination suitability information including at least one of re-examination recommendation information for each inspection item, re-examination reason information, safety information of inspection equipment, and stability information of reagents based on the above error frequency information.

6. In paragraph 5, The above processor, An electronic device that identifies the re-examination recommendation information based on the error frequency or error rate.

7. In paragraph 5, The above processor, Identify at least one of the error frequency information for each inspection equipment and the error frequency information for each reagent, An electronic device that compares the above error frequency information to identify at least one of the stability information of the inspection equipment and the safety information of the reagent.

8. A method for determining the suitability of re-inspection for each inspection item performed by an electronic device, A step of obtaining original examination information and re-examination information of patients by examination item; A step of determining whether there is an error in the original inspection by using the original inspection information and the re-inspection information based on a criterion for determining whether there is an error during the inspection; A method comprising the step of identifying a re-inspection frequency and an error frequency for each inspection item based on the determined error status.

9. In paragraph 8, The steps to determine whether the above error is present are: A step of receiving a first reference value for the relative difference between the original inspection value of the original inspection information and the re-inspection value of the re-inspection information and a second reference value for the absolute difference; A method comprising a step of determining whether there is an error based on the first reference value or the second reference value.

10. In paragraph 9, The steps to determine whether the above error is present are: A method comprising a step of applying the first reference value or the second reference value based on a predefined range for the inspection value for each inspection item.

11. In paragraph 8, Step of calculating the re-inspection rate and error rate according to the re-inspection frequency and error frequency per period; A method further comprising the step of providing error frequency information including at least one of the re-examination frequency, error frequency, re-examination rate and error rate.

12. In paragraph 11, A method further comprising a step of identifying re-examination suitability information including at least one of re-examination recommendation information for each inspection item, re-examination reason information, safety information of inspection equipment, and stability information of reagents based on the error frequency information.

13. In paragraph 12, The step of identifying the above re-examination suitability information is: A method comprising a step of identifying the re-examination recommendation information based on the error frequency or the error rate.

14. In paragraph 12, The step of identifying the above re-examination suitability information is: A step of identifying at least one of error frequency information for each inspection equipment and error frequency information for each reagent; A method comprising the step of comparing the above error frequency information to identify at least one of the safety information of the above inspection equipment and the stability information of the above reagent.

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