Automatic association test method and system

Abstract

The invention relates to the technical field of medical instruments, in particular to an automatic association test method and system, and aims to reduce unnecessary test items, shorten detection time and improve detection efficiency. Through intelligent judgment and optimization of detection items, excessive detection is avoided, the examination cost of a patient is reduced, and the economic burden is relieved; manual intervention is reduced, and the detection efficiency is improved; the detection items are automatically increased or decreased according to the preset rule, so that the time waste of secondary application test is avoided, and the detection efficiency is improved. The test is reduced without influencing the clinical diagnosis, and meanwhile, the detection items can be intelligently added according to the rule, so that waste and aggravation of the economic burden of the patient caused by excessive test and examination are avoided, the potential diagnosis risk caused by missing of the additional detection items set in the rule is avoided, and the illness state can be diagnosed in time. Therefore, the problem of resource waste caused by excessive detection in traditional detection is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular to a method and system for automatic correlation testing. Background Art

[0002] In the medical device sector, biochemical analysis and diagnosis is a key tool used in biochemical experiments. It automates the analysis and testing of biochemical reagents, obtaining clinical diagnostic information through testing of human samples (fluids, tissues, etc.), thereby diagnosing diseases or body functions. With the implementation of medical insurance cost control, it has become imperative for medical institutions to reduce unnecessary examinations and tests without compromising clinical diagnosis.

[0003] Typically, laboratory technicians perform all relevant tests to diagnose a disease, providing information for clinicians to make diagnostic decisions. These indicators often correlate with each other. This often leads to situations where if a few indicators are normal, then another indicator is also likely normal, eliminating the need for further testing. Alternatively, if a few indicators are abnormal, additional indicators may be needed for confirmation. Common practice is for laboratory technicians to perform all relevant tests and provide them to clinicians for diagnostic decision-making. This results in an increased number of tests for patients, which in turn increases testing costs and the financial burden. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for automatic correlation testing, aiming to solve the problem of excessive testing in traditional testing resulting in waste of resources.

[0005] To achieve the above object, in a first aspect, the present invention provides a method for automatic association testing, comprising the following steps:

[0006] presenting a graphical user interface of the computer to the user and recording the user's selections;

[0007] Check whether the rules have been established according to the user's selection;

[0008] When starting the test, preload all related project information in the system;

[0009] The system responds and mobilizes the logic judgment module to traverse the pre-loaded associated project information to determine whether the items of the sample to be tested meet the association rules;

[0010] Push the information of the samples to be tested to the testing equipment, and during the test process, monitor the items marked by the system as temporarily not tested. According to the judgment results of the rule judgment module, determine whether to add the marked items to the list of items to be tested, or whether additional test items need to be added;

[0011] The system displays the test results and marks the items that require additional testing and the items that are ultimately exempted from testing.

[0012] The step of "Checking whether a rule has been established based on user selection" includes the following steps:

[0013] The system queries the rule database or configuration file to check whether the user-defined rules exist;

[0014] If no rules are found, the system will pop up a prompt box to indicate that no rules are detected, and prompt the user to create rules first. At the same time, it will jump to the rule management module and provide a rule creation wizard.

[0015] Among them, in "preloading all related project information in the system when starting the test", the project information includes project name, detection method, warning value, and logical relationship.

[0016] The process of "the system responds and activates the logic judgment module to traverse the preloaded associated item information to determine whether the items of the sample to be tested meet the association rules" includes the following steps:

[0017] The system receives the test application submitted by the user through the API and obtains the project list of samples to be tested;

[0018] The system calls the logic judgment module and passes in the list of items of samples to be tested;

[0019] Use the preset matching algorithm to determine whether the sample items meet the association rules. If they meet the rules, the system marks the items in the sample item list as temporarily untested and removes them from the sample to be tested, recording the reasons for removal and the basis for the rules.

[0020] After the traversal is completed, the system generates an optimized list of samples to be tested and prepares to push it to the testing equipment;

[0021] Among them, in "pushing the information of the samples to be tested to the detection equipment, and monitoring the items marked by the system as temporarily not tested during the test, and determining whether to add the marked items to the list to be tested, or whether additional test items need to be added based on the judgment results of the rule judgment module", during the test process, the preset matching algorithm is used to determine whether the completed items meet the association rules. If they meet the rules that require additional testing, the additional test items are automatically added to the samples to be tested, and the reasons for the addition and the basis for the rules are recorded.

[0022] In a second aspect, a system for automatic association testing is provided, which is used for the automatic association testing method described in the first aspect, comprising a computer module, a detection device, a rule management module, a rule judgment and application module, and a result prompt module, wherein the computer module, the rule management module, the rule judgment and application module, the result prompt module, and the detection device are connected in sequence;

[0023] The computer module is configured to present a graphical user interface to the user, provide an option of "enabling automatic correlation test optimization", and record the user's selection;

[0024] The detection device is used to receive the sample to be tested pushed by the system and perform sample addition testing;

[0025] The rule management module is used to provide the functions of adding, modifying, deleting and storing rules. The rules include the rule name, related items, trigger conditions, rule application actions and detection items for the application of the rules;

[0026] The rule judgment and application module is used to perform rule judgment in the sample application stage and the test stage, and decide whether to add or reduce test items according to the trigger conditions;

[0027] The result prompt module is used to mark and prompt the items for additional testing and the items that are ultimately exempted from testing when the test results are displayed.

[0028] The present invention provides a method for automatic association testing, comprising the following steps: presenting a computer graphical user interface to a user and recording the user's selection; checking whether a rule has been established based on the user's selection; preloading all associated item information in the system when starting the test; the system responds and mobilizes a logic judgment module to traverse the preloaded associated item information to determine whether the items of the sample to be tested meet the association rules; pushing the sample to be tested to the detection device, and monitoring the system-marked items that are temporarily not tested during the test, adding the marked items to the list to be tested based on the judgment results of the rule judgment module; the system displays the test results and marks and prompts the items for additional testing and the items that are ultimately exempted from testing. The present invention reduces testing as much as possible without affecting clinical diagnosis, while intelligently adding test items according to the rules. This will not cause waste due to excessive testing and increase the financial burden on patients, nor will it affect potential diagnostic risks due to missing additional test items set in the rules, and is conducive to timely diagnosis of the disease. This solves the problem of excessive testing causing waste of resources in traditional tests. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0030] Figure 1 The present invention provides a flowchart of an automatic correlation test method.

[0031] Figure 2 It is a flowchart that checks whether the rules have been established based on the user's selection.

[0032] Figure 3 It is a flowchart in which the system responds and mobilizes the logic judgment module to traverse the pre-loaded associated project information to determine whether the items of the sample to be tested meet the association rules.

[0033] Figure 4 It is a schematic diagram of an automatic association test system provided by the present invention.

[0034] In the figure: 1-computer module, 2-rule management module, 3-rule judgment and application module, 4-detection equipment, 5-result prompt module. DETAILED DESCRIPTION

[0035] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0036] See also Figures 1 to 3 In a first aspect, the present invention provides a method for automatic association testing, comprising the following steps:

[0037] S1 presents a computer graphical user interface to the user and records the user's selection;

[0038] Specifically, the system presents a computer graphical user interface to the user, and the interface includes an "enable automatic association test optimization" option. After the user chooses to enable, the interface sends a message to the system, and the system records the user's selection.

[0039] S2 checks whether the rules have been established based on the user's selection;

[0040] S21 The system queries the rule database or configuration file to check whether the user-defined rules exist;

[0041] Specifically, based on the user selecting to enable the automatic correlation test optimization option, the system checks whether the user has established a rule.

[0042] If no rules are found in S22, the system will pop up a prompt box saying that no rules are detected. Please create rules first. At the same time, it will jump to the rule management module and provide a rule creation wizard.

[0043] Specifically, if no rules have been established, the user is prompted to create rules first, and the program is directed to the rule management module to guide the user to create rules.

[0044] When S3 starts the test, it preloads all the related project information in the system;

[0045] The project information includes project name, detection method, warning value, and logical relationship.

[0046] Specifically, when starting the test, all related project information in the system is preloaded.

[0047] The S4 system responds and mobilizes the logic judgment module to traverse the pre-loaded associated project information to determine whether the items of the sample to be tested meet the association rules;

[0048] The S41 system receives test applications submitted by users through the API and obtains a list of items for samples to be tested;

[0049] Specifically, the user submits a test application, the system responds to the test application, and then mobilizes the logic judgment module to traverse the pre-loaded related project information

[0050] S42 system calls the logic judgment module and inputs the project list of the sample to be tested;

[0051] Specifically, it is determined whether the items included in the sample to be tested meet the associated items.

[0052] S43 uses a preset matching algorithm to determine whether the sample item meets the association rule. If it meets the rule, the system marks the item as temporarily not tested in the sample item list and removes it from the sample to be tested, recording the reason for removal and the rule basis;

[0053] Specifically, for items that meet the requirements of the associated items, the system will mark the items that are not temporarily tested in the associated item information and delete the test items from the samples to be tested.

[0054] After S44 traversal is completed, the system generates an optimized list of samples to be tested and prepares to push it to the testing equipment.

[0055] Specifically, until all samples to be tested are processed, the system is ready to push the samples to be tested to the testing equipment.

[0056] S5 pushes the samples to be tested to the testing equipment, and during the test process, monitors the items marked by the system as temporarily not being tested, and adds the marked items to the list to be tested based on the judgment results of the rule judgment module;

[0057] During the test process, the preset matching algorithm is used to determine whether the completed project meets the association rules. If it meets the rules that require additional testing, the additional test items are automatically added to the samples to be tested, and the reasons for the addition and the basis for the rules are recorded.

[0058] Specifically, when the detection device receives a test request, it begins to perform sample addition testing. During the detection device testing process, the system monitors the sample testing process that has been marked as temporarily untested items. When the sample test is completed, the rule judgment module is called to make a judgment. If the judgment result is that the temporarily untested item needs to be tested, the item is added to the list to be tested. Similarly, based on the rules, it is judged whether new test items should be added for additional clinical diagnosis of diseases. If the judgment result is that it should be added, the additional item test is added to the list to be tested, and the system marks the decision.

[0059] The S6 system displays the test results and marks items that require additional testing and those that are ultimately exempt from testing.

[0060] Specifically, after the test is completed, the system will mark the items that require additional testing and the items that are ultimately exempted from testing when displaying the test results.

[0061] See also Figure 4 In a second aspect, a system for automatic association testing is provided, which is used for the method for automatic association testing described in the first aspect, and comprises a computer module, a detection device, a rule management module, a rule judgment and application module, and a result prompt module, wherein the computer module, the rule management module, the rule judgment and application module, the result prompt module, and the detection device are connected in sequence;

[0062] The computer module is configured to present a graphical user interface to the user, provide an option of "enabling automatic correlation test optimization", and record the user's selection;

[0063] The detection device is used to receive the sample to be tested pushed by the system and perform sample addition testing;

[0064] The rule management module is used to provide the functions of adding, modifying, deleting and storing rules. The rules include the rule name, related items, trigger conditions, rule application actions and detection items for the application of the rules;

[0065] The rule judgment and application module is used to perform rule judgment in the sample application stage and the test stage, and decide whether to add or reduce test items according to the trigger conditions;

[0066] The result prompt module is used to mark and prompt the items for additional testing and the items that are ultimately exempted from testing when the test results are displayed.

[0067] In this embodiment, the rule management module is described as follows: the rule management module provides rule management functions, including functions such as adding, modifying, deleting and storing. The stored information includes the rule name, the associated items included in the rule, the conditions for triggering the rule, that is, the logical relationship of the judgment, the rule application action, and the detection items to which the rule is applied. The associated items included in the rule can be actual inspection items, manually input items, and items calculated using existing inspection items, that is, calculation items; the triggering conditions include but are not limited to the following situations: 1. The test result of a certain detection item reaches a preset warning value. 2. The test results of several detection items reach a preset warning value at the same time. 3. The test results of several detection items reach a preset warning value after a preset logical operation. The rule application action is mainly to add a test. The detection item to which the rule is applied refers to the item of the associated test to be added after the rule is met. The user edits the rules according to clinical diagnosis needs, so that the associated items with logical relationships form a rule and save it.

[0068] The rule judgment and application module is described as follows: Sample project application stage: 1.1 The system automatically loads all the rules to form a list. 1.2 When a sample application is submitted, the system will execute the following rule actions. 1.3 If the rule list has not been traversed yet, a new rule will be obtained and the process will go to step 4. If the rule list has been traversed, the process will go to step 5, the judgment process will end, and the test list will be submitted. 1.4 If the test items of the current sample include the associated items in the rules and the detection items of the application rules, the detection items of the application rules will be removed from the application list, the items to be tested will be reduced and marked. Then go to step 3. 1.5 Complete the rule check and submit the changed application list to the system. For example:

[0069] Suppose there is a rule in which A, B, and C are the related items to be judged, and item D is the item after the rule is applied. If a sample application list needs to test all four items A, B, C, and D at the same time, the application for item D can be blocked first. After testing items A, B, and C, it can be determined according to the rule whether item D needs to be tested.

[0070] Beneficial effects:

[0071] First, consider a scenario where several related tests used to diagnose a disease have a relationship where, if some indicators are normal, the remaining indicators are automatically considered normal. However, if some indicators are abnormal, the remaining indicators must be combined for a diagnosis. A rule based on these related indicators can be created to split the test into two batches. If the first batch of indicators is normal, the second batch is not tested. If the first batch of indicators is abnormal, the rule determines whether to trigger the second batch.

[0072] 2. In addition, rules can be formulated. If the test results of a certain combination of items may logically lead to another disease diagnosis conclusion, but some additional test items are needed for assistance, the test items can be automatically added.

[0073] Through the above two rules, it is possible to minimize testing without affecting clinical diagnosis, while at the same time intelligently adding testing items according to the rules. This will not cause waste due to excessive testing and increase the financial burden on patients, nor will it affect potential diagnostic risks due to missing additional testing items set within the rules, which is conducive to timely diagnosis of the disease.

[0074] The above disclosure is only a preferred embodiment of a method and system for automatic association testing of the present invention. Of course, this cannot be used to limit the scope of rights of the present invention. Ordinary technicians in this field can understand that implementing all or part of the processes of the above embodiment and making equivalent changes in accordance with the claims of the present invention still fall within the scope of the invention.

Claims

1. A method for automatic association testing, characterized in that: The following steps are involved: presenting a graphical user interface of the computer to the user and recording the user's selections; Check whether the rules have been established according to the user's selection; When starting the test, preload all related project information in the system; The system responds and mobilizes the logic judgment module to traverse the pre-loaded associated project information to determine whether the items of the sample to be tested meet the association rules; Push the information of the samples to be tested to the testing equipment, and during the test process, monitor the items marked by the system as temporarily not tested. According to the judgment results of the rule judgment module, determine whether to add the marked items to the list of items to be tested, or whether to add additional test items; The system displays the test results and marks the items that require additional testing and the items that are ultimately exempted from testing.

2. The method for automatic association testing according to claim 1, wherein: In "Check whether rules have been established based on user selection", include the following steps: The system queries the rule database or configuration file to check whether the user-defined rules exist; If no rules are found, the system will pop up a prompt box to indicate that no rules are detected, and prompt the user to create rules first. At the same time, it will jump to the rule management module and provide a rule creation wizard.

3. The method for automatic association testing according to claim 1, wherein: In "When starting the test, preload all related project information in the system", the project information includes project name, detection method, warning value, and logical relationship.

4. The method for automatic association testing according to claim 3, wherein: In "the system responds and mobilizes the logic judgment module to traverse the preloaded associated item information and determine whether the items of the sample to be tested meet the association rules", the following steps are included: The system receives the test application submitted by the user through the API and obtains the project list of samples to be tested; The system calls the logic judgment module and passes in the list of items of samples to be tested; Use the preset matching algorithm to determine whether the sample items meet the association rules. If they meet the rules, the system marks the items in the sample item list as temporarily untested and removes them from the sample to be tested, recording the reasons for removal and the basis for the rules. After the traversal is completed, the system generates an optimized list of samples to be tested and prepares to push it to the testing equipment.

5. The method for automatic association testing according to claim 1, wherein: In the process of "pushing the information of the samples to be tested to the testing equipment, and monitoring the items marked by the system as temporarily not tested during the test, and determining whether to add the marked items to the list to be tested or whether additional test items need to be added based on the judgment results of the rule judgment module", during the test process, the preset matching algorithm is used to determine whether the completed items meet the association rules. If they meet the rules requiring additional testing, the additional test items are automatically added to the samples to be tested, and the reasons for the addition and the basis for the rules are recorded.

6. A system for automatic correlation testing, used in the method for automatic correlation testing according to any one of claims 1 to 5, characterized in that: It includes a computer module, a detection device, a rule management module, a rule judgment and application module, and a result prompt module, wherein the computer module, the rule management module, the rule judgment and application module, the result prompt module, and the detection device are connected in sequence; The computer module is configured to present a graphical user interface to the user, provide an option of "enabling automatic correlation test optimization", and record the user's selection; The detection device is used to receive the sample to be tested pushed by the system and perform sample addition testing; The rule management module is used to provide the functions of adding, modifying, deleting and storing rules. The rules include the rule name, related items, trigger conditions, rule application actions and detection items for the application of the rules; The rule judgment and application module is used to perform rule judgment in the sample application stage and the test stage, and decide whether to add or reduce test items according to the trigger conditions; The result prompt module is used to mark and prompt the items for additional testing and the items that are ultimately exempted from testing when the test results are displayed.

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