A method and system for monitoring and processing reagent usage data in a laboratory of a clinical laboratory

Abstract

The present invention relates to a method and system for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department, belonging to the technical field of data processing, including: analyzing according to the test data sequence to obtain the test error rate, test frequency, and record abnormality rate, and combining the procurement time cycle and the latest inventory quantity to conduct an analysis of the test shortage rate to obtain the test shortage rate; conducting a procurement impact analysis according to the test frequency and record abnormality rate to obtain the procurement impact rate; calculating a test impact parameter based on the test error rate and the test shortage rate, and combining the procurement impact rate to calculate a monitoring impact parameter, and generating a prompt message for prompting. Through the present invention, the technical problem that the traditional method cannot dynamically adjust the prompt parameters according to the actual situation of reagent usage, affecting the quality of reagent usage control, can be solved; the scientificity, flexibility, and accuracy of the prompt parameter setting can be improved, and the quality of reagent usage control can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a method and system for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department. Background Art

[0002] With the continuous increase in the workload of the laboratory, laboratory management, especially the usage and inventory management of reagents, has become increasingly complex.

[0003] Currently, traditional reagent usage monitoring methods usually use preset fixed volume, prompt frequency, and duration to remind staff to record the usage of reagents. When the staff is busy with other inspection work, the fixed prompt parameters may be too frequent, causing interference; while when the work is relatively easy, the prompt may be insufficient to remind the staff to pay attention to recording in a timely manner. This lack of flexible prompt method cannot effectively adapt to the changes in the laboratory workload, resulting in a decrease in the effectiveness of abnormal prompts. Summary of the Invention

[0004] Aiming at the technical problem that the traditional reagent usage monitoring method cannot dynamically adjust the prompt parameters according to the actual situation of reagent usage, resulting in insufficient flexibility and accuracy of abnormal usage prompts and affecting the quality of reagent usage control, the present invention provides a method and system for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department to solve this problem.

[0005] The technical solution of the present invention to solve the above technical problems is as follows:

[0006] In the first aspect, the present invention provides a method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department, including: after a suspicious reagent usage behavior occurs in the laboratory of the clinical laboratory department, performing record behavior monitoring, and when no record behavior is monitored within a preset time window, retrieving the latest inventory of the target reagent and the inspection data sequence of using the target reagent for inspection within the most recent preset time range; according to the inspection data sequence, performing inspection error analysis, inspection frequency and record anomaly analysis to obtain the inspection error rate, inspection frequency and record anomaly rate, combining the procurement time cycle and the latest inventory, performing inspection shortage rate analysis to obtain the inspection shortage rate; according to the inspection frequency and record anomaly rate, performing procurement impact analysis to obtain the procurement impact rate; calculating an inspection impact parameter according to the inspection error rate and the inspection shortage rate, combining the procurement impact rate, calculating a monitoring impact parameter, generating a prompt message according to the monitoring impact parameter, and using it as a monitoring processing result for prompting.

[0007] Preferably, the method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department further includes: after detecting a reagent usage behavior in the laboratory of the clinical laboratory department, performing record behavior monitoring within a preset time window; if a record behavior is detected, end; if no record behavior is detected, retrieve the latest inventory of the target reagent corresponding to the suspicious reagent usage behavior, and obtain a sequence of test data for tests performed using the target reagent within a recently preset time range, where each piece of test data includes a test time and a test result.

[0008] Preferably, the method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department further includes: within the sequence of test data, extract the number of inaccurate test results to obtain the number of inaccurate tests; calculate the ratio of the number of inaccurate tests to the total number of all test data in the test data array to obtain a test error rate; based on the total number of all test data in the test data sequence and the time length of the preset time range, calculate to obtain a test frequency; collect the number of times when no record behavior is detected within a preset time window after a reagent usage behavior occurs within a recently preset time range to obtain the number of abnormal record behaviors, and calculate the ratio to the total number of all monitored data to obtain a record abnormality rate.

[0009] Preferably, the method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department further includes: based on the latest inventory and the test frequency, calculate to obtain a theoretical shortage time; use the record abnormality rate to perform a correction calculation on the theoretical shortage time to obtain a predicted shortage time; obtain a procurement time cycle, and based on the predicted shortage time, perform an analysis of the test shortage rate to obtain a test shortage rate.

[0010] Preferably, the method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department further includes: obtain a procurement time cycle and the time point of the last reagent procurement, and calculate the remaining procurement time based on the current time; based on the predicted shortage time and the remaining procurement time, calculate the shortage time and calculate the ratio to the remaining procurement time to obtain a test shortage rate.

[0011] Preferably, the method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department further includes: obtain the average test frequency within a historical time; calculate the ratio of the test frequency to the average test frequency to obtain a test speed influence rate; based on the record abnormality rate, calculate the record influence rate, and combine with the test speed influence rate to calculate the procurement influence rate.

[0012] Preferably, the method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department further includes: calculating a test impact parameter by weighted calculation according to the test error rate and the test shortage rate; calculating a monitoring impact parameter according to the test impact parameter and the procurement impact rate; inputting the monitoring impact parameter into a prompt classifier to generate prompt information by classification, wherein a mapping relationship between a sample monitoring impact parameter interval set and a sample prompt level set is included in the prompt classifier; and using the prompt information as a monitoring and processing result and giving a prompt.

[0013] In a second aspect, the present invention provides a system for monitoring and processing reagent usage data in a laboratory of a clinical laboratory department, including: a reagent-related information retrieval module, configured to, after a suspicious reagent usage behavior occurs in the laboratory of the clinical laboratory department, perform record behavior monitoring, and retrieve the latest inventory of a target reagent and a test data sequence for tests using the target reagent in a recent preset time range when no record behavior is monitored within a preset time window; a test data analysis module, configured to perform test error analysis, test frequency and record anomaly analysis according to the test data sequence to obtain a test error rate, a test frequency and a record anomaly rate, and perform test shortage rate analysis in combination with a procurement time cycle and the latest inventory to obtain a test shortage rate; a procurement impact analysis module, configured to perform procurement impact analysis according to the test frequency and the record anomaly rate to obtain a procurement impact rate; and a monitoring impact parameter calculation module, configured to calculate a test impact parameter according to the test error rate and the test shortage rate, calculate a monitoring impact parameter in combination with the procurement impact rate, generate prompt information according to the monitoring impact parameter, and use the prompt information as a monitoring and processing result and give a prompt.

[0014] The beneficial effects of the present invention are as follows: After a suspicious reagent usage behavior occurs in the laboratory of the inspection department, record behavior monitoring is carried out. When no record behavior is monitored within a preset time window, the latest inventory quantity of the target reagent and the inspection data sequence of using the target reagent for inspection within a recent preset time range are retrieved. Then, based on the inspection data sequence, inspection error analysis, inspection frequency, and record anomaly analysis are performed to obtain the inspection error rate, inspection frequency, and record anomaly rate. Combining the procurement time cycle and the latest inventory quantity, inspection shortage rate analysis is carried out to obtain the inspection shortage rate. Further, based on the inspection frequency and record anomaly rate, procurement impact analysis is performed to obtain the procurement impact rate. Finally, an inspection impact parameter is calculated based on the inspection error rate and the inspection shortage rate, and combined with the procurement impact rate, a monitoring impact parameter is calculated. A prompt message is generated based on the monitoring impact parameter as the monitoring processing result and is prompted. That is to say, by analyzing the usage status according to information such as reagent usage data, inspection errors, and reagent inventory conditions, and dynamically adjusting the volume, duration, and frequency of the prompt message according to the current reagent usage status, the scientificity, flexibility, and accuracy of the prompt parameter setting can be improved, thereby effectively preventing staff from forgetting to record due to busyness, reducing the probability of missed reports and misreports, and improving the control quality of reagent usage. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 FIG. is a schematic flowchart of a method for monitoring and processing reagent usage data in a laboratory of an inspection department provided by the present invention;

[0016] Figure 2 FIG. is a schematic structural diagram of a system for monitoring and processing reagent usage data in a laboratory of an inspection department provided by the present invention.

[0017] In the drawings, the components represented by each reference numeral are described as follows:

[0018] Reagent-related information retrieval module 11, inspection data analysis module 12, procurement impact analysis module 13, monitoring impact parameter calculation module 14. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0020] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality of" means two or more unless otherwise specifically defined.

[0021] In the description of the present invention, the term "for example" is used to mean "serving as an example, illustration, or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as more preferred or more advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use the present invention. In the following description, details are set forth for purposes of explanation. It should be understood that those of ordinary skill in the art can recognize that the present invention can be practiced without these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

[0022] Embodiment 1, as Figure 1 shown, the embodiment of the present invention provides a method for monitoring and processing reagent usage data in a clinical laboratory, specifically including the following steps:

[0023] S100: After a suspicious reagent usage behavior occurs in the clinical laboratory, record behavior monitoring is performed. When no record behavior is monitored within a preset time window, the latest inventory quantity of the target reagent and the test data sequence of tests performed using the target reagent within the most recent preset time range are retrieved.

[0024] Furthermore, step S100 of the present invention further includes:

[0025] S110: After monitoring a reagent usage behavior in the clinical laboratory, record behavior monitoring is performed within a preset time window; S120: If a record behavior is monitored, it ends. If no record behavior is monitored, the latest inventory quantity of the target reagent corresponding to the suspicious reagent usage behavior is retrieved, and the test data sequence of tests performed using the target reagent within the most recent preset time range is obtained, where each test data includes the test time and the test result.

[0026] Specifically, after detecting the reagent usage behavior in the laboratory of the inspection department, that is, when there are staff members using reagents in the laboratory of the inspection department, the behavior of reagent usage is monitored in real time. For example, when a staff member opens the reagent cabinet and retrieves reagents, this behavior is recorded; then, a preset time window (such as 5 minutes, which can be set according to the actual scenario) is set, and within this time range, it is monitored whether the staff member has completed the recording behavior. The recording behavior refers to that the staff member inputs the recording information of reagent retrieval through an electronic device (such as a computer, touch screen, etc.), including detailed information such as reagent name, quantity, retrieval time, etc. If the recording behavior is detected within the preset time window, that is, if the staff member makes a timely record, the recording behavior will be confirmed and the monitoring will end.

[0027] If the recording behavior is not detected within the preset time window, that is, the staff member does not input the retrieval information within the specified time, this is considered a potential abnormal behavior, namely a suspicious reagent usage behavior; at this time, the latest inventory of the target reagent is retrieved to check the remaining quantity of the reagent currently. On the other hand, a sequence of inspection data obtained by using the target reagent within a recent preset time range (such as within 24 hours, which can be set according to the usage frequency of the target reagent) is obtained. Among them, each piece of inspection data includes the inspection time and the inspection result. The sequence of inspection data can help verify the specific situation of reagent usage. For example, if a certain reagent is frequently used recently and not recorded, it may be found that there are problems such as misoperation or management oversight.

[0028] S200: According to the sequence of inspection data, perform inspection error analysis, inspection frequency and recording anomaly analysis to obtain the inspection error rate, inspection frequency and recording anomaly rate, and combine the procurement time cycle and the latest inventory to perform inspection shortage rate analysis to obtain the inspection shortage rate.

[0029] Furthermore, step S200 of the present invention further includes:

[0030] S210: Extract the number of inaccurate inspection results in the sequence of inspection data to obtain the number of inaccurate inspections; S220: Calculate the ratio of the number of inaccurate inspections to the total number of all inspection data in the inspection data array to obtain the inspection error rate; S230: Calculate the inspection frequency according to the total number of all inspection data in the sequence of inspection data and the time length of the preset time range; S240: Collect the number of times that the recording behavior is not detected within the preset time window after the reagent usage behavior appears within the recent preset time range to obtain the number of abnormal recording behaviors, and calculate the ratio to the total number of all monitoring data to obtain the recording anomaly rate.

[0031] Specifically, first, within the test data sequence, identify all inaccurate test results (e.g., errors, outliers, etc.) and count the number of these inaccurate results. These inaccurate test results reflect possible problems during the reagent usage process, such as reagent quality issues, operation mistakes, or incomplete records, etc., to obtain the number of inaccurate tests. Next, calculate the ratio of the number of inaccurate tests to the total number of all test data within the test data array, and set this ratio as the test error rate. Among them, the test error rate reflects the frequency of inaccurate results in laboratory tests. If the test error rate is relatively high, it indicates that there are more errors or abnormalities during the reagent usage process, which may affect the accuracy of reagent usage and its impact on experimental results. If the usage of the reagent is not recorded in a timely manner, subsequent test data may not be correctly traced, resulting in an impact on the accuracy of experimental data. For example, if the staff fails to record the reagent used on a certain occasion and there is a problem with the reagent used on that occasion, subsequent test data may not be associated with the accurate reagent usage situation, further affecting the traceability of the results; among them, the greater the test error rate, the greater the impact when the reagent usage is not recorded. That is, the higher the calculated test error rate, the greater the possibility of inaccurate results in the test. At this time, if there is a situation where the reagent usage is not recorded, it will be more difficult to trace the correct usage situation when tracing the test results, thus increasing the impact of the error.

[0032] On the other hand, set the ratio of the total number of all test data within the test data sequence to the time length of the preset time range as the test frequency. Among them, the test frequency reflects the usage frequency of this reagent, that is, the number of times this reagent is used for testing per unit time. If the test frequency of a certain reagent is relatively high, it indicates that its usage demand is relatively large, and management needs to be strengthened to ensure sufficient inventory and avoid abnormal usage. In addition, collect the number of times when the usage situation is not recorded within the preset time window (such as 5 minutes) after the reagent usage behavior occurs within the recently preset time range (e.g., in the past day or week), and set it as the number of abnormal record behaviors; further calculate the ratio of the number of abnormal record behaviors to the total number of all monitoring data to obtain the record abnormality rate. The record abnormality rate reflects the integrity of the reagent usage record, that is, the probability that the staff forgets to record. For example, within the past 24 hours, a certain reagent has been used 100 times in total. Among them, there are 15 times when the reagent is taken and no record behavior is monitored within 5 minutes. Then these 15 times belong to the number of abnormal record behaviors, and the record abnormality rate is 15 / 100, which is equal to 15%, indicating that 15% of the reagent usage is not recorded in a timely manner, which will affect inventory management and the traceability of test data.

[0033] Furthermore, step S200 of the present invention further includes:

[0034] S250: Calculate the theoretical shortage time based on the latest inventory quantity and inspection frequency; S260: Use the recorded anomaly rate to perform a correction calculation on the theoretical shortage time to obtain the predicted shortage time.

[0035] Specifically, the latest inventory quantity refers to the inventory quantity of reagents in the current laboratory, that is, how much reagent is left for continued use in inspections, usually expressed in the unit quantity of the reagent (such as the number of bottles, milliliters, grams, etc.); the inspection frequency refers to the number of times or frequency of use of a certain reagent within a certain period of time, which can help judge the consumption speed of the reagent; then the ratio of the latest inventory quantity to the inspection frequency is set as the theoretical shortage time. By calculating the theoretical shortage time, the laboratory can predict whether the remaining inventory is sufficient to support the subsequent work, provide a basis for procurement decisions, ensure that the laboratory can replenish reagents in a timely manner, and avoid affecting the experimental process due to inventory shortages.

[0036] In the management of laboratory reagents, the recorded anomaly rate may lead to inaccurate inventory records. When the staff fails to record the usage of reagents in a timely manner, the inventory data in the system may be more than the actual inventory, and this difference may affect the true situation of the inventory, resulting in an incorrect prediction of the reagent shortage time; to correct this problem, the recorded anomaly rate can be introduced to correct the theoretical shortage time and calculate the predicted shortage time. The predicted shortage time will more accurately reflect the true inventory situation and provide a more reliable shortage warning. Then, the theoretical shortage time / (1 + recorded anomaly rate) is set as the predicted shortage time. Among them, 1 + recorded anomaly rate reflects the impact of recording anomalies on the inventory. If the recorded anomaly rate is high and the actual inventory is less than the recorded inventory, then the predicted shortage time will be shorter than the theoretical shortage time, reflecting the insufficient inventory situation in advance. For example, assuming the theoretical shortage time is 5 days and the recorded anomaly rate is 15%, then the predicted shortage time is 5 / (1 + 0.15) which is approximately 4.35 days.

[0037] The predicted shortage time takes into account the impact of the recorded anomaly rate. Through the correction calculation, it more accurately reflects the shortage time of the actual inventory. Even when the inventory record shows sufficient, when the actual inventory is insufficient, the predicted shortage time will show the risk of inventory shortage in advance, avoiding missing the opportunity for procurement or replenishment due to recording omissions. By introducing the recorded anomaly rate to correct the theoretical shortage time, the laboratory can still make timely responses when facing inaccurate inventory data, avoiding affecting laboratory work due to negligence or system errors.

[0038] S270: Obtain the procurement time cycle, and perform an inspection shortage rate analysis based on the predicted shortage time to obtain the inspection shortage rate.

[0039] Furthermore, step S270 of the present invention further includes:

[0040] S271: Obtain the procurement time cycle and the time point of the last reagent procurement, and calculate the remaining procurement time based on the current time; S272: Calculate the shortage time based on the predicted shortage time and the remaining procurement time, and calculate the ratio with the remaining procurement time to obtain the inspection shortage rate.

[0041] Specifically, obtain the procurement time cycle and the time point of the last reagent procurement. The procurement time cycle refers to the time interval from the last procurement to the next procurement; the last procurement time point refers to the time when the laboratory last conducted a procurement. Then, subtract the last procurement time point from the procurement time cycle, and use the difference between the two as the remaining procurement time. For example, assume the procurement time cycle is 20 days and the last procurement was 14 days ago, then the remaining procurement time is 20 minus 14, which equals 6 days.

[0042] Next, subtract the predicted shortage time from the remaining procurement time, and use the difference between the two as the shortage time, and use the ratio of the difference between the two to the remaining procurement time as the inspection shortage rate. For example, assume the remaining procurement time is 6 days and the predicted shortage time is 4.35 days, then the inspection shortage rate is (6 - 4.35) / 6, which equals 0.275, that is, 27.5%. The inspection shortage rate reflects the difference between the predicted shortage time and the remaining procurement time, thus showing the impact degree of the shortage on subsequent inspections. The higher the inspection shortage rate, the greater the risk of shortage in subsequent inspections and the more serious the impact of the shortage.

[0043] S300: Conduct a procurement impact analysis based on the inspection frequency and the recorded anomaly rate to obtain the procurement impact rate.

[0044] Furthermore, step S300 of the present invention further includes:

[0045] S310: Obtain the average inspection frequency within the historical time; S320: Calculate the ratio of the inspection frequency to the average inspection frequency to obtain the inspection speed impact rate; S330: Calculate the recorded impact rate based on the recorded anomaly rate, and combine it with the inspection speed impact rate to calculate the procurement impact rate.

[0046] Specifically, first, obtain the average inspection frequency within a historical time period. The inspection frequency refers to the number of inspections conducted per unit time. To evaluate the normal usage of laboratory reagents, an average inspection frequency needs to be calculated based on historical data. The average inspection frequency is the ratio of the total number of inspections within the historical time period to the length of the historical time period. For example, if 70 inspections were conducted in the past 7 days, then the average inspection frequency is 10 times per day. Next, take the ratio of the inspection frequency to the average inspection frequency as the inspection speed impact rate. The inspection speed impact rate is used to measure the degree of change of the current inspection frequency relative to the historical average inspection frequency. It helps to determine whether there is a change in the laboratory inspection speed, thereby affecting the procurement rhythm. For example, assume that the current inspection frequency is 12 times per day and the historical average inspection frequency is 10 times per day. Then the inspection speed impact rate is 1.2, indicating that the current inspection frequency is 20% higher than the historical average frequency.

[0047] Then, obtain the average record error rate within the historical time period. Set the ratio of the record error rate to the average record error rate as the record impact rate. For example, assume that the current record error rate is 18% and the average record error rate is 12%. Then the record impact rate is 0.18 / 0.12 = 1.5, indicating that the current record error rate is 50% higher than the historical average. Next, multiply the inspection speed impact rate and the record impact rate, and set the product as the procurement impact rate. For example, assume that the inspection speed impact rate is 1.2 and the record impact rate is 1.5. Then the procurement impact rate is 1.5 * 1.2 = 1.8. The procurement impact rate comprehensively considers the changes in record errors and inspection speed, and can help the laboratory predict future procurement needs. If the procurement impact rate is high, the laboratory needs to purchase more reagents in advance.

[0048] S400: Calculate and obtain an inspection impact parameter based on the inspection error rate and the inspection shortage rate, combine the procurement impact rate, calculate and obtain a monitoring impact parameter, and generate a prompt message based on the monitoring impact parameter as the monitoring processing result and give a prompt.

[0049] Furthermore, step S400 of the present invention further includes:

[0050] S410: Calculate and obtain an inspection impact parameter by weighted calculation according to the inspection error rate and the inspection shortage rate; S420: Calculate and obtain a monitoring impact parameter based on the inspection impact parameter and the procurement impact rate; S430: Input the monitoring impact parameter into a prompt classifier to classify and generate a prompt message, where the prompt classifier includes a mapping relationship between a sample monitoring impact parameter interval set and a sample prompt level set; S440: Use the prompt message as the monitoring processing result and give a prompt.

[0051] Specifically, weight configurations are made for the inspection error rate and inspection shortage rate. The weight represents the relative importance of each factor's impact on inspection, and the weight can be adjusted according to the actual situation (for example, when the error rate has a greater impact on inspection, a larger weight is assigned to the error rate). For example, the weight of the inspection error rate is set to 0.6, and the weight of the inspection shortage rate is set to 0.4. Then, according to the weight configuration results, the inspection error rate and inspection shortage rate are weighted and calculated to obtain an inspection impact parameter. For example, assuming the inspection error rate is 15% and the inspection shortage rate is 27.5%, the inspection impact parameter is 0.15 * 0.6 + 0.275 * 0.4, which equals 0.2. The inspection impact parameter comprehensively considers two important factors, the inspection error rate and the inspection shortage rate. Through the weighted method, a comprehensive inspection impact value can be calculated according to the influence degree of different factors on the inspection result.

[0052] The monitoring impact parameter combines the impact of inspection activities and procurement activities, helping to judge the impact of procurement decisions on laboratory inspection activities. It combines the inspection impact parameter and the procurement impact rate, and can quantify the potential impact of procurement decisions on reagent use management. Weight coefficients for the inspection impact parameter and the procurement impact rate are set respectively. The weight coefficient represents the relative importance of each factor's impact on monitoring, and can be adjusted according to the actual needs and management experience of the laboratory. For example, the inspection impact parameter is 0.7, and the procurement impact rate is 0.3. Further, according to the weight coefficients, the inspection impact parameter and the procurement impact rate are weighted and calculated to obtain the monitoring impact parameter.

[0053] First, define a sample monitoring impact parameter interval set, which represents different intervals of the monitoring impact parameter, including low impact interval, medium impact interval, high impact interval, etc. Then, define a sample prompt level set, which represents the prompt levels to be taken according to different monitoring impact parameter intervals, such as low impact, medium impact, high impact, etc. Then, according to the mapping relationship between the sample monitoring impact parameter interval and the sample prompt level, based on the decision tree principle, with the sample monitoring impact parameter interval as the sub-node, the corresponding sample prompt level as the leaf node of the sub-node, and the sample monitoring impact parameter interval set and the sample prompt level set as the construction data, a prompt classifier is constructed. Further, the monitoring impact parameter is input into the prompt classifier for matching, and prompt information is classified and generated. Finally, the prompt information is used as the monitoring processing result and is prompted, including methods such as sound prompt, visual prompt, vibration prompt, etc. For example, play a high-volume warning sound to ensure that the staff can notice in time; pop up a prompt box or a flashing visual identifier on the computer screen to remind the staff to record reagent use in time; if the staff is using a mobile device or wearing a smart device, vibration reminder can also be used. Among them, the mapping table of the prompt classifier is shown in Table 1:

[0054] Table 1: Mapping Table of Prompt Classifier

[0055]

[0056] Through this table and mapping relationship, the laboratory can dynamically adjust the intensity and manner of the prompt information according to the monitoring impact parameters calculated in real time, ensuring that important records or procurement decisions are not overlooked by the staff when they are busy.

[0057] A method for monitoring and processing reagent usage data in a clinical laboratory provided by an embodiment of the present invention has at least the following technical effects:

[0058] After a suspicious reagent usage behavior occurs in the clinical laboratory, record behavior monitoring is performed. When no record behavior is monitored within a preset time window, the latest inventory of the target reagent and the test data sequence of tests performed using the target reagent within a recent preset time range are retrieved; then, according to the test data sequence, test error analysis, test frequency, and recording anomaly analysis are performed to obtain the test error rate, test frequency, and recording anomaly rate. Combining the procurement time cycle and the latest inventory, test shortage rate analysis is performed to obtain the test shortage rate; further, according to the test frequency and recording anomaly rate, procurement impact analysis is performed to obtain the procurement impact rate; finally, the test impact parameter is calculated based on the test error rate and the test shortage rate, and combined with the procurement impact rate, the monitoring impact parameter is calculated. A prompt message is generated based on the monitoring impact parameter as the monitoring and processing result and is prompted. That is to say, by analyzing the usage status based on information such as reagent usage data, test errors, and reagent inventory status, and dynamically adjusting the volume, duration, and frequency of the prompt information according to the current reagent usage status, the scientificity, flexibility, and accuracy of the prompt parameter settings can be improved, thereby effectively avoiding the situation where the staff forgets to record due to busyness, reducing the probability of missed reports and misreports, and improving the control quality of reagent usage.

[0059] Embodiment 2, as Figure 2As shown, based on the same inventive concept as the method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory provided in Embodiment 1, an embodiment of the present invention further provides a system for monitoring and processing reagent usage data in a laboratory of a clinical laboratory, including: a reagent-related information retrieval module 11, configured to perform record behavior monitoring after a suspicious reagent usage behavior occurs in the laboratory of the clinical laboratory, and retrieve the latest inventory quantity of the target reagent and the sequence of test data for tests performed using the target reagent within a recent preset time range when no record behavior is monitored within a preset time window; a test data analysis module 12, configured to perform test error analysis, test frequency, and record anomaly analysis based on the sequence of test data to obtain a test error rate, a test frequency, and a record anomaly rate, and perform test shortage rate analysis in combination with the procurement time cycle and the latest inventory quantity to obtain a test shortage rate; a procurement impact analysis module 13, configured to perform procurement impact analysis based on the test frequency and the record anomaly rate to obtain a procurement impact rate; a monitoring impact parameter calculation module 14, configured to calculate a test impact parameter based on the test error rate and the test shortage rate, calculate a monitoring impact parameter in combination with the procurement impact rate, generate a prompt message based on the monitoring impact parameter, and use it as a monitoring processing result for prompting.

[0060] Further, the system for monitoring and processing reagent usage data in a laboratory of a clinical laboratory is further configured to: perform record behavior monitoring within a preset time window after a reagent usage behavior is monitored in the laboratory of the clinical laboratory; if a record behavior is monitored, end; if no record behavior is monitored, retrieve the latest inventory quantity of the target reagent corresponding to the suspicious reagent usage behavior, and obtain the sequence of test data for tests performed using the target reagent within a recent preset time range, where each piece of test data includes a test time and a test result.

[0061] Further, the system for monitoring and processing reagent usage data in a laboratory of a clinical laboratory is further configured to: extract the number of inaccurate test results in the sequence of test data to obtain the number of inaccurate tests; calculate the ratio of the number of inaccurate tests to the total number of all test data in the test data array to obtain a test error rate; calculate the test frequency based on the total number of all test data in the sequence of test data and the time length of the preset time range; collect the number of times when no record behavior is monitored within a preset time window after a reagent usage behavior occurs within a recent preset time range to obtain the number of abnormal record behaviors, and calculate the ratio to the total number of all monitored data to obtain a record anomaly rate.

[0062] Further, the reagent usage data monitoring and processing system in the clinical laboratory of the inspection department is also used for: calculating the theoretical shortage time according to the latest inventory and inspection frequency; using the recorded abnormality rate to perform a correction calculation on the theoretical shortage time to obtain the predicted shortage time; obtaining the procurement time cycle, and performing an analysis of the inspection shortage rate according to the predicted shortage time to obtain the inspection shortage rate.

[0063] Further, the reagent usage data monitoring and processing system in the clinical laboratory of the inspection department is also used for: obtaining the procurement time cycle and the time point of the last reagent procurement, and calculating the remaining procurement time according to the current time; calculating the shortage time according to the predicted shortage time and the remaining procurement time, and calculating the ratio with the remaining procurement time to obtain the inspection shortage rate.

[0064] Further, the reagent usage data monitoring and processing system in the clinical laboratory of the inspection department is also used for: obtaining the average inspection frequency within the historical time; calculating the ratio of the inspection frequency to the average inspection frequency to obtain the inspection speed impact rate; calculating the record impact rate according to the recorded abnormality rate, and combining the inspection speed impact rate to calculate the procurement impact rate.

[0065] Further, the reagent usage data monitoring and processing system in the clinical laboratory of the inspection department is also used for: calculating the inspection impact parameter by weighted calculation according to the inspection error rate and the inspection shortage rate; calculating the monitoring impact parameter according to the inspection impact parameter and the procurement impact rate; inputting the monitoring impact parameter into the prompt classifier to classify and generate prompt information, wherein the prompt classifier includes the mapping relationship between the sample monitoring impact parameter interval set and the sample prompt level set; and using the prompt information as the monitoring processing result and giving a prompt.

[0066] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they learn the basic creative concept.

[0067] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory, characterized in that: Methods include: After suspicious reagent usage occurs in the laboratory of the laboratory department, record behavior monitoring is carried out. If no record behavior is detected within the preset time window, the latest inventory of the target reagent and the test data sequence of the target reagent used for testing within the most recent preset time range are retrieved; According to the inspection data sequence, the inspection error analysis, inspection frequency and record abnormality analysis are performed to obtain the inspection error rate, inspection frequency and record abnormality rate. In combination with the procurement time cycle and the latest inventory, the inspection shortage rate analysis is performed to obtain the inspection shortage rate, including: Calculate the theoretical shortage time based on the latest inventory quantity and inspection frequency; The recorded abnormality rate is used to perform correction calculation on the theoretical shortage time to obtain the predicted shortage time; Obtain the procurement time period, perform inspection shortage rate analysis based on the predicted shortage time, and obtain the inspection shortage rate, including: Obtain the purchase time period and the time point of the last reagent purchase, and calculate the remaining purchase time based on the current time; According to the predicted shortage time and the remaining procurement time, the shortage time is calculated, and the ratio of the shortage time to the remaining procurement time is calculated to obtain the inspection shortage rate; According to the inspection frequency and the record abnormality rate, a procurement impact analysis is performed to obtain the procurement impact rate, including: Get the average inspection frequency in historical time; Calculating the ratio of the inspection frequency to the average inspection frequency to obtain the inspection speed impact rate; The record impact rate is calculated based on the record abnormality rate, and the procurement impact rate is calculated based on the inspection speed impact rate; The inspection influence parameter is calculated based on the inspection error rate and the inspection shortage rate, and the monitoring influence parameter is calculated based on the procurement influence rate. Prompt information is generated based on the monitoring influence parameter as a monitoring processing result and a prompt is given, including: According to the inspection error rate and the inspection shortage rate, a weighted calculation is performed to obtain an inspection impact parameter; Calculate and obtain monitoring impact parameters based on the inspection impact parameters and the procurement impact rate; Input the monitoring impact parameter into a prompt classifier to generate prompt information through classification, wherein the prompt classifier includes a mapping relationship between a sample monitoring impact parameter interval set and a sample prompt level set; The prompt information is used as a monitoring processing result and a prompt is given.

2. The method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory according to claim 1, characterized in that: After suspicious reagent usage occurs in the laboratory of the laboratory department, record behavior monitoring is carried out. If no record behavior is detected within the preset time window, the latest inventory of the target reagent and the test data sequence of the target reagent used for testing within the most recent preset time range are retrieved, including: After detecting the use of reagents in the laboratory of the clinical laboratory, record the behavior monitoring within the preset time window; If recording behavior is detected, the process ends; if no recording behavior is detected, the latest inventory of the target reagent corresponding to the suspicious reagent usage behavior is retrieved, and a sequence of inspection data using the target reagent for inspection within the most recent preset time range is obtained, wherein each piece of inspection data includes the inspection time and the inspection result.

3. The method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory according to claim 1, characterized in that: According to the inspection data sequence, inspection error analysis, inspection frequency and record abnormality analysis are performed to obtain the inspection error rate, inspection frequency and record abnormality rate, including: Extracting the number of inaccurate test results in the test data sequence to obtain the number of inaccurate tests; Calculating the ratio of the number of inaccurate inspections to the number of all inspection data in the inspection data array to obtain an inspection error rate; Calculate and obtain the inspection frequency according to the number of all inspection data in the inspection data sequence and the time length of the preset time range; The number of times that the recorded behavior was not detected within the preset time window after the reagent use behavior occurred within the most recent preset time range is collected to obtain the number of abnormal recorded behaviors, and the ratio to the number of all monitoring data is calculated to obtain the record abnormality rate.

4. A reagent usage data monitoring and processing system in a laboratory of a clinical laboratory, characterized in that: The steps for implementing the method for monitoring and processing reagent usage data in a laboratory of a clinical laboratory as described in any one of claims 1 to 3 include: The reagent related information retrieval module is used to monitor the record behavior after suspicious reagent use behavior occurs in the laboratory of the laboratory department. If no record behavior is detected within the preset time window, the latest inventory of the target reagent and the test data sequence of the test using the target reagent within the most recent preset time range are retrieved; An inspection data analysis module is used to perform inspection error analysis, inspection frequency and record abnormality analysis according to the inspection data sequence to obtain the inspection error rate, inspection frequency and record abnormality rate, and to perform inspection shortage rate analysis in combination with the purchase time cycle and the latest inventory to obtain the inspection shortage rate; A procurement impact analysis module, used to perform procurement impact analysis based on the inspection frequency and the record abnormality rate to obtain a procurement impact rate; The monitoring impact parameter calculation module is used to calculate the inspection impact parameters based on the inspection error rate and the inspection shortage rate, and calculate the monitoring impact parameters in combination with the procurement impact rate, and generate prompt information based on the monitoring impact parameters as the monitoring processing result and provide prompts.

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