CN112071378A - Urine index data detection processing method and system - Google Patents
Urine index data detection processing method and system Download PDFInfo
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Abstract
The invention discloses a method and a system for detecting and processing urine index data, wherein the method for detecting and processing the urine index data comprises the following steps: acquiring original detection data of conventional detection of a urine sample; when the original detection data meet the preset rechecking conditions, carrying out alarm prompting and rechecking on the urine sample to obtain rechecking data; updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition; and generating a detection report according to the original detection data, the updated reinspection condition and the reinspection data. When the original detection data meet the preset rechecking conditions, carrying out alarm prompting and rechecking on the urine sample to obtain rechecking data; and updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition. On the basis of automatic audit, the preset reinspection conditions are updated in combination with reinspection, so that audit rules are optimized, the accuracy of detection reports is ensured, and the reinspection efficiency is reduced.
Description
Technical Field
The invention relates to the technical field of medical detection, in particular to a method and a system for detecting and processing urine index data.
Background
In recent years, with the improvement of the living standard of the whole population and the vigorous promotion of the innovation of the medical system, the diagnosis and treatment amount of the hospital is increased rapidly, and the increase of the diagnosis and treatment amount drives the increase of the sample detection amount of a clinical laboratory. The report auditing is a core link of the whole-process quality control of a medical laboratory, and the accuracy and timeliness of the auditing result directly influence the clinical medical decision, safety and diagnosis and treatment effect. In the prior art, automatic audit of traditional clinical urine detection laboratory test reports mainly sets corresponding audit rules for automatic audit of urine dry chemical detection results, and workers are required to perform manual microscopic examination for samples which fail audit. Because the automatic audit is set according to the manual experience of each laboratory, the audit rule is often difficult to optimize without starting from the distribution condition of actual detection data, and thus error reports cannot be accurately identified.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method and a system for detecting and processing urine indicator data, aiming at solving the problem that the error report cannot be accurately identified in the prior art.
The technical scheme adopted by the invention for solving the technical problem is as follows:
a urine index data detection processing method comprises the following steps:
acquiring original detection data of conventional detection of a urine sample;
when the original detection data meet the preset rechecking conditions, carrying out alarm prompting and rechecking on the urine sample to obtain rechecking data;
updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition;
and generating a detection report according to the original detection data, the updated reinspection condition and the reinspection data.
The urine index data detection processing method comprises the following steps of: WBC, RBC, CAST, LEU, BLD, and PRO; before the original detection data of the conventional detection of the urine sample is obtained, the detection processing method of the urine index data comprises the following steps:
setting a preset rechecking condition database, wherein the preset rechecking condition database is used for comparing with the original detection data; the preset reinspection conditions in the preset reinspection condition database all include the following indexes: WBC, RBC, CAST, LEU, BLD, and PRO.
The urine index data detection processing method comprises the following steps of:
WBC positive and RBC negative and CAST negative and LEU positive and BLD negative and PRO negative; WBC positive and RBC negative and CAST negative and LEU negative and BLD positive and PRO negative; WBC positive and RBC negative and CAST negative and LEU negative and BLD negative and PRO positive; WBC positive and RBC negative and CAST negative and LEU positive and BLD positive and PRO negative; WBC positive and RBC negative and CAST negative and LEU positive and BLD negative and PRO positive; WBC positive and RBC negative and CAST negative and LEU negative and BLD positive and PRO positive; WBC positive and RBC negative and CAST negative and LEU positive and BLD positive and PRO positive; WBC positive and RBC negative and CAST negative and LEU negative and BLD negative and PRO negative; WBC negative and RBC positive and CAST negative and LEU positive and BLD negative and PRO negative; WBC negative and RBC positive and CAST negative and LEU negative and BLD positive and PRO negative; WBC negative and RBC positive and CAST negative and LEU negative and BLD negative and PRO positive; WBC negative and RBC positive and CAST negative and LEU positive and BLD positive and PRO negative; WBC negative and RBC positive and CAST negative and LEU positive and BLD negative and PRO positive; WBC negative and RBC positive and CAST negative and LEU negative and BLD positive and PRO positive; WBC negative and RBC positive and CAST negative and LEU positive and BLD positive and PRO positive; WBC negative and RBC positive and CAST negative and LEU negative and BLD negative and PRO negative; WBC negative and RBC negative and CAST positive and LEU positive and BLD negative and PRO negative; WBC negative and RBC negative and CAST positive and LEU negative and BLD positive and PRO negative; WBC negative and RBC negative and CAST positive and LEU negative and BLD negative and PRO positive; WBC negative and RBC negative and CAST positive and LEU positive and BLD positive and PRO negative; WBC negative and RBC negative and CAST positive and LEU positive and BLD negative and PRO positive; WBC negative and RBC negative and CAST positive and LEU negative and BLD positive and PRO positive; WBC negative and RBC negative and CAST positive and LEU positive and BLD positive and PRO positive; WBC negative and RBC negative and CAST positive and LEU negative and BLD negative and PRO negative; WBC positive and RBC positive and CAST negative and LEU positive and BLD negative and PRO negative; WBC positive and RBC positive and CAST negative and LEU negative and BLD positive and PRO negative; WBC positive and RBC positive and CAST negative and LEU negative and BLD negative and PRO positive; WBC positive and RBC positive and CAST negative and LEU positive and BLD positive and PRO negative; WBC positive and RBC positive and CAST negative and LEU positive and BLD negative and PRO positive; WBC positive and RBC positive and CAST negative and LEU negative and BLD positive and PRO positive; WBC positive and RBC positive and CAST negative and LEU positive and BLD positive and PRO positive; WBC positive and RBC positive and CAST negative and LEU negative and BLD negative and PRO negative; WBC positive and RBC negative and CAST positive and LEU positive and BLD negative and PRO negative; WBC positive and RBC negative and CAST positive and LEU negative and BLD positive and PRO negative; and WBC positive and RBC negative and CAST positive and LEU negative and BLD negative and PRO positive;
wherein, the reference interval of WBC is 0-17/muL, the reference interval of RBC is 0-28/muL, and the reference interval of CAST is 0-1/muL.
The urine index data detection processing method comprises the following steps of: a first retest condition and a second retest condition;
when the original detection data meet the preset reinspection condition, the urine sample is reinspected to obtain reinspection data, which comprises the following steps:
when the original detection data meet the first reinspection condition, reinspecting the urine sample to obtain reinspection data;
and when the original detection data do not meet the first reinspection condition and meet the second reinspection condition, auditing the original detection data, and reinspecting the urine sample according to an auditing result to obtain reinspection data.
The urine index data detection processing method comprises the following steps of after the original detection data of the conventional detection of the urine sample is obtained, the urine index data detection processing method further comprises the following steps:
and when the original detection data do not meet the preset rechecking condition, generating a detection report according to the original detection data.
The urine index data detection processing method, wherein when the original detection data does not meet a preset reinspection condition, generating a detection report according to the original detection data, comprises:
and when the original detection data does not satisfy the first reinspection condition and does not satisfy the second reinspection condition, generating a detection report according to the original detection data.
The urine index data detection processing method comprises the following steps of: WBC, RBC, CAST, LEU, BLD, and PRO;
the updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition includes:
and updating the reference interval of the corresponding index in the preset reinspection condition aiming at each index in the reinspection data to obtain an updated reinspection condition.
The urine index data detection processing method comprises the step of rechecking by using a microscope.
A urine index data detection processing system, wherein, includes:
the acquisition unit is used for acquiring original detection data of routine detection of the urine sample;
the early warning unit is used for carrying out alarm prompt and carrying out reinspection on the urine sample to obtain reinspection data when the original detection data meet the preset reinspection condition;
the updating unit is used for updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition;
and the report unit is used for generating a detection report according to the original detection data, the updated reinspection condition and the reinspection data.
A urine index data detection processing system comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of any one of the urine index data detection processing methods when executing the computer program.
Has the advantages that: when the original detection data meet the preset rechecking conditions, carrying out alarm prompting and rechecking on the urine sample to obtain rechecking data; and updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition. On the basis of automatic audit, the preset reinspection conditions are updated in combination with reinspection, so that audit rules are optimized, the accuracy of detection reports is ensured, and the reinspection efficiency is reduced.
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FIG. 1 is a flow chart of a urine index data detection processing method according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the present invention provides some embodiments of a urine index data detection processing method.
In recent years, the information technology capability is continuously improved, the information is obviously reflected in medical informatization, and the auditing work aiming at clinical medical examination reports is mainly divided into three stages. The first stage is manual examination and check, and workers need to make rapid judgment on the mass inspection reports one by one in a short time according to professional knowledge and experience. Under high working strength and pressure, workers are inevitably fatigued and error-prone; the second stage is automatic auditing, the auditing is set according to manual experience of each laboratory, and the auditing rule is difficult to optimize without starting from the distribution condition of actual detection data, so that error reports cannot be accurately identified and manual rechecking is needed; the third stage is intelligent auditing, by applying advanced information processing technologies such as machine learning and big data analysis, auditing rules suitable for the hospital are analyzed and mined from mass data accumulated by the hospital for a long time, experience summary of manual auditing is converted into computer language, report auditing judgment is carried out through rules preset by a computer, standardized construction of inspection reports is promoted, and the capacity of intelligently processing detection data in a laboratory is effectively improved.
The invention updates the preset rechecking condition by combining the rechecking on the basis of automatic auditing, thereby optimizing the auditing rule, ensuring the accuracy of the detection report and reducing the rechecking efficiency.
As shown in fig. 1, the urine index data detection processing method of the present invention includes the following steps:
and S100, acquiring original detection data of routine detection of the urine sample.
In particular, conventional detection of urine samples is generally performed by using urine analyzers, which include a urine dry chemistry analyzer and a urine formed component analyzer. The indexes of the urine dry chemical analyzer include: pH (pH), Specific Gravity (SG), Glucose (GLU), Protein (PRO), ketone body (KET), Bilirubin (BIL), Urobilinogen (UBG), hemoglobin (BLD), Leukocyte (LEU), Nitrite (NIT), Microalbumin (MALB), COLOR (COLOR), TURBIDITY (TURBIITY), Vitamin C (VC), and the like. The indexes of the urine visible component analyzer comprise: CASTs (CAST), cells (including white blood cells WBC, red blood cells RBC, abnormal red blood cells, phagocytic cells, epithelial cells), crystals, bacteria, fungi, parasites, sperm, and fibers, and the like.
In this embodiment, the original detection data includes: dry chemical detection data of urine and detection data of urine visible components. Indicators of dry chemistry urine test data include: LEU, BLD, and PRO. The indexes of the urine visible component detection data comprise: WBC, RBC, and CAST. In this embodiment, the six indexes are automatically audited, analyzed and early warned, and of course, the original detection data may also include other indexes, and the detection report finally output includes other indexes.
Specifically, the urine visible component analyzer in this embodiment employs a flow-type microscopic imaging system, and comprehensively employs a sheath flow technique, a flow-type microscopic imaging technique, and an artificial intelligence recognition technique, and captures an image containing a visible component for each sample, and counts each index through the image recognition system.
The urine dry chemical analyzer in the embodiment adopts a photoelectric colorimetric principle to determine the content of physicochemical components in urine according to the color change generated by the reaction of a reagent zone on a test strip and the physicochemical components in the urine. Scanning reagent areas on the test strip item by using four monochromatic lights, converting optical signals obtained by scanning into electric signals, performing A/D conversion on the electric signals, calculating the reflectivity of the reagent areas, and determining the content of physicochemical components in urine according to the reflectivity.
Before step S100, the urine index data detection processing method further includes:
s10, setting a preset rechecking condition database, wherein the preset rechecking condition database is used for comparing with the original detection data; the indexes of the preset reinspection conditions in the preset reinspection condition database comprise: WBC, RBC, CAST, LEU, BLD, and PRO.
Specifically, the preset review condition database includes at least one preset review condition, and each preset review condition includes the following indexes: WBC, RBC, CAST, LEU, BLD, and PRO. The index of the original detection data covers all indexes of the preset retest condition, that is, the index of the original detection data may have other indexes besides WBC, RBC, CAST, LEU, BLD and PRO.
And S200, when the original detection data meet the preset reinspection condition, carrying out alarm prompt and reinspection on the urine sample to obtain reinspection data.
Specifically, each index in the original detection data is analyzed, and when each index meets a preset reinspection condition, the urine sample is reinspected to obtain reinspection data. The indexes of the reinspection data comprise: WBC, RBC, CAST, LEU, BLD, and PRO.
It should be noted that, because the principles based on different analyzers are different, and the data detected by different analyzers are different, the preset retest conditions are also different. For the urine visible component analyzer and the urine dry chemistry analyzer used in this embodiment, the following preset rechecking conditions are configured.
The preset rechecking condition adopts a urine dry chemistry and urine visible component combination condition, and comprises the following steps:
WBC positive and RBC negative and CAST negative and LEU positive and BLD negative and PRO negative; WBC positive and RBC negative and CAST negative and LEU negative and BLD positive and PRO negative; WBC positive and RBC negative and CAST negative and LEU negative and BLD negative and PRO positive; WBC positive and RBC negative and CAST negative and LEU positive and BLD positive and PRO negative; WBC positive and RBC negative and CAST negative and LEU positive and BLD negative and PRO positive; WBC positive and RBC negative and CAST negative and LEU negative and BLD positive and PRO positive; WBC positive and RBC negative and CAST negative and LEU positive and BLD positive and PRO positive; WBC positive and RBC negative and CAST negative and LEU negative and BLD negative and PRO negative; WBC negative and RBC positive and CAST negative and LEU positive and BLD negative and PRO negative; WBC negative and RBC positive and CAST negative and LEU negative and BLD positive and PRO negative; WBC negative and RBC positive and CAST negative and LEU negative and BLD negative and PRO positive; WBC negative and RBC positive and CAST negative and LEU positive and BLD positive and PRO negative; WBC negative and RBC positive and CAST negative and LEU positive and BLD negative and PRO positive; WBC negative and RBC positive and CAST negative and LEU negative and BLD positive and PRO positive; WBC negative and RBC positive and CAST negative and LEU positive and BLD positive and PRO positive; WBC negative and RBC positive and CAST negative and LEU negative and BLD negative and PRO negative; WBC negative and RBC negative and CAST positive and LEU positive and BLD negative and PRO negative; WBC negative and RBC negative and CAST positive and LEU negative and BLD positive and PRO negative; WBC negative and RBC negative and CAST positive and LEU negative and BLD negative and PRO positive; WBC negative and RBC negative and CAST positive and LEU positive and BLD positive and PRO negative; WBC negative and RBC negative and CAST positive and LEU positive and BLD negative and PRO positive; WBC negative and RBC negative and CAST positive and LEU negative and BLD positive and PRO positive; WBC negative and RBC negative and CAST positive and LEU positive and BLD positive and PRO positive; WBC negative and RBC negative and CAST positive and LEU negative and BLD negative and PRO negative; WBC positive and RBC positive and CAST negative and LEU positive and BLD negative and PRO negative; WBC positive and RBC positive and CAST negative and LEU negative and BLD positive and PRO negative; WBC positive and RBC positive and CAST negative and LEU negative and BLD negative and PRO positive; WBC positive and RBC positive and CAST negative and LEU positive and BLD positive and PRO negative; WBC positive and RBC positive and CAST negative and LEU positive and BLD negative and PRO positive; WBC positive and RBC positive and CAST negative and LEU negative and BLD positive and PRO positive; WBC positive and RBC positive and CAST negative and LEU positive and BLD positive and PRO positive; WBC positive and RBC positive and CAST negative and LEU negative and BLD negative and PRO negative; WBC positive and RBC negative and CAST positive and LEU positive and BLD negative and PRO negative; WBC positive and RBC negative and CAST positive and LEU negative and BLD positive and PRO negative; and WBC positive and RBC negative and CAST positive and LEU negative and BLD negative and PRO positive; wherein, the reference interval of WBC is 0-17/muL, the reference interval of RBC is 0-28/muL, and the reference interval of CAST is 0-1/muL. That is, WBCs represent WBC negative within 0-17/μ L, i.e., WBC-; WBCs are positive for WBC, i.e., WBC +, at 0-17/. mu.L. RBCs represent RBC negative within 0-28/μ L, i.e., RBC-; RBCs are RBC positive, i.e., WBC +, at 0-28 μ L. And determining whether each index is negative or positive by analogy. See in particular tables 1 and 2.
TABLE 1 reference interval of urine formed ingredient index
TABLE 2 Dry chemistry of urine and urine visible Components combination conditions
It should be noted that the reference interval of each index may be determined according to the detected person, for example, according to the classification of male and female, the reference intervals are different for male and female under the same index. Of course, the classification may be made according to age, region, and the like.
Specifically, the review includes microscopic review, that is, microscopic review by centrifugation, specifically, filling the sediment by centrifugation and microscopic review. The method comprises the following specific steps:
a1, removing the test tube, introducing 10mL of the mixed fresh urine sample, and centrifuging for 5min under the condition of 2000 r/min.
A2, after the centrifugation is stopped, taking out the test tube, discarding the supernatant, leaving about 0.2ML of sediments, and shaking the centrifuge tube lightly to mix the components of the urinary sediments fully and uniformly.
A3, taking a drop of urinary sediment, dropping the drop on a glass slide, and covering the glass slide with a 18mm cover slip.
A4, observing by microscopic examination, and observing the full appearance and tube shape of the visible components in the liquid by using a low power lens. And (4) observing and identifying cell components and counting by using a high power lens, and observing the lowest value and the highest value of 10 visual fields to obtain reinspection data.
The preset rechecking conditions comprise: a first retest condition and a second retest condition; the first reinspection condition and the second reinspection condition are determined according to the urine dry chemistry and urine visible component combination condition.
Dividing preset reinspection conditions into two categories, namely a first reinspection condition and a second reinspection condition, judging according to the first reinspection condition, and if the first reinspection condition is met, reinspecting; if the first rechecking condition is not met, continuing to judge according to the second rechecking condition, if the second rechecking condition is met, auditing, and determining whether to recheck according to an auditing result. That is, the original detection data is divided into two types of data with larger errors and smaller errors according to the first reinspection condition and the second reinspection condition, and the original detection data with larger errors, namely the original detection data meeting the first reinspection condition, can be directly reinspected; for the original detection data with smaller errors, namely the original detection data meeting the second reinspection condition, the reinspection can be performed after the audit, and the reinspection efficiency is improved.
Specifically, the first re-examination condition may be one or more selected from the group consisting of dry chemistry of urine and a combination of urine-forming components, and the second re-examination condition may be one or more selected from the group consisting of dry chemistry of urine and a combination of urine-forming components.
The step S200 includes:
and S210, when the original detection data meet the first reinspection condition, reinspecting the urine sample to obtain reinspection data.
Specifically, the values of the indexes, namely WBC, RBC, CAST, LEU, BLD, and PRO, are determined according to the original detection data, then whether the indexes are positive or negative is determined according to the reference interval of each index, then whether each index meets the first reinspection condition is determined, and if each index meets the first reinspection condition, that is, if the combination of negative and positive of each index is one of the first reinspection conditions, the urine sample needs to be reinspected to obtain reinspection data.
For example, the serial numbers 1 to 10 in table 2 are used as the first rechecking condition, and in the original detection data, WBC is 20, RBC is 15, CAST is 1, LEU is negative, BLD is positive, and PRO is negative, that is, WBC + RBC-CAST-LEU-BLD + PRO-, the original detection data meets the first rechecking condition, and then rechecking is required.
And S220, when the original detection data do not meet the first reinspection condition and meet a second reinspection condition, auditing the original detection data, and reinspecting the urine sample according to an auditing result to obtain reinspection data.
Specifically, when the original detection data do not meet a first reinspection condition, whether the original detection data meet a second reinspection condition is continuously judged, when the original detection data do not meet the first reinspection condition and meet the second reinspection condition, the original detection data are audited, and urine samples are reinspected according to audit results to obtain reinspection data. Specifically, the original detection data can be audited by adopting a manual auditing mode, and auditing is performed by confirming various alarms, reporting critical values, comprehensively judging clinical information, comprehensively comparing reports, comparing and rechecking historical reports, labeling various additional information, clinically communicating and manually confirming.
After step S100, step S230 is further included, when the original detection data does not satisfy a preset retest condition, a detection report is generated according to the original detection data.
Specifically, when the original detection data does not satisfy a preset rechecking condition, a detection report is generated according to the original detection data, that is, automatic auditing is completed, and a detection report is generated. The original detection data do not meet the preset rechecking condition, which indicates that the original detection data have no error and can directly generate a detection report.
Specifically, the preset rechecking condition includes a first rechecking condition and a second rechecking condition, and when the original detection data does not satisfy the first rechecking condition and does not satisfy the second rechecking condition, a detection report is generated according to the original detection data. And when the first reinspection condition and the second reinspection condition are not met, namely the original detection data do not meet the preset reinspection condition, generating a detection report according to the original detection data.
And step S300, updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition.
Specifically, because each detection device is different, for the same urine sample, the original detection data obtained by different detection devices are different, in order to optimize the preset reinspection condition, the preset reinspection condition is updated according to the reinspection data, and the updated reinspection condition is replaced by the preset reinspection condition, that is, the updated reinspection condition is adopted for judgment, so that the accuracy of the detection report is improved. Meanwhile, due to the fact that the updated rechecking conditions are matched with the original detection data, the rechecking rate is reduced, the detection efficiency is improved, meanwhile, the accuracy of a detection report is guaranteed, and the missed diagnosis rate is reduced. By adjusting the preset rechecking condition, the updated rechecking condition can be more matched with the detection equipment and the detection object.
Specifically, the updating process includes updating the reference interval of the corresponding index in the urine dry chemistry and urine visible component combination condition for each index in the reinspection data to obtain an updated reinspection condition. That is, the reference interval of each index is adjusted to achieve updating. Specifically, for each index, if the index is positive in the retest data and the index is negative in the original test data, the reference interval of the index may be increased. If the indicator in the retest data is negative and the indicator in the original test data is positive, the reference interval for the indicator can be reduced. The preset rechecking condition is adjusted to obtain an updated rechecking condition, and the negativity and the positivity of each index of the original detection data can be changed under the updated rechecking condition, so that the original detection data can meet the preset rechecking condition but can not meet the updated rechecking condition, therefore, under the updated rechecking condition, the original detection data does not need to be rechecked, and the detection data which is the same as the original detection data does not need to be rechecked later, so that the rechecking rate is reduced.
It should be noted that, when the preset review condition is updated, the indexes of the preset review condition are not updated, that is, before and after the update, the types and the number of the indexes are not changed. If the reference interval of the index is changed, the preset rechecking condition is changed accordingly, and specifically, the number of the preset rechecking conditions is changed.
In addition, due to the fact that the preset rechecking condition is not complete, the urine samples of some missed diagnosis personnel are not rechecked, in order to avoid the problem, original detection data and microscope detection data of routine detection of the urine samples are obtained, the preset rechecking condition is updated according to the original detection data and the microscope detection data, and the updated rechecking condition is obtained. That is, when the detected object uses the detection device to obtain the original detection data and performs the microscope detection to obtain the microscope detection data, and when the negative and positive indexes in the two detection data are inconsistent, the reference interval of the index in the preset rechecking condition is adjusted to obtain the updated rechecking condition.
For example, for each index, if the index is positive in the microscopic detection data and the index is negative in the original detection data, the reference interval of the index may be increased. If the indicator is negative in the microscopic examination data and positive in the original examination data, the reference interval for the indicator can be reduced.
And step S400, generating a detection report according to the original detection data, the updated reinspection condition and the reinspection data.
Specifically, under updated review conditions, the negatives and positives of each marker in the raw test data may change, and thus in the final test report, the conclusion is made under updated review conditions. The review data is also presented in the test report.
The invention also provides a preferable embodiment of the urine index data detection processing system, which comprises the following steps:
the urine index data detection processing system of the embodiment of the invention comprises:
the acquisition unit is used for acquiring original detection data of routine detection of the urine sample;
the early warning unit is used for carrying out retest on the urine sample to obtain retest data when the original detection data meet a preset retest condition;
the updating unit is used for updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition;
and the report unit is used for generating a detection report according to the original detection data, the updated reinspection condition and the reinspection data.
The indicators of the original detection data include: WBC, RBC, CAST, LEU, BLD, and PRO; the urine index data detection processing system further comprises:
the system comprises a presetting unit, a data processing unit and a data processing unit, wherein the presetting unit is used for setting a preset reinspection condition database which is used for comparing with the original detection data; the preset reinspection conditions in the preset reinspection condition database all include the following indexes: WBC, RBC, CAST, LEU, BLD, and PRO.
The preset rechecking condition adopts the combination condition of urine dry chemistry and urine visible components, and is specifically as described above.
The preset rechecking conditions comprise: a first retest condition and a second retest condition; the first reinspection condition and the second reinspection condition are determined according to the urine dry chemistry and urine visible component combination condition.
The early warning unit is specifically used for performing reinspection on the urine sample to obtain reinspection data when the original detection data meet the first reinspection condition; and when the original detection data do not meet the first reinspection condition and meet the second reinspection condition, auditing the original detection data, and reinspecting the urine sample according to an auditing result to obtain reinspection data.
The report unit is further used for generating a detection report according to the original detection data when the original detection data does not meet a preset rechecking condition.
The reporting unit is specifically configured to generate a detection report according to the original detection data when the original detection data does not satisfy the first review condition and does not satisfy the second review condition.
The indexes of the reinspection data comprise: WBC, RBC, CAST, LEU, BLD, and PRO.
The updating unit is specifically configured to update, for each index in the review data, a reference interval of a corresponding index in the urine dry chemistry and urine visible component combination conditions to obtain an updated review condition.
The rechecking comprises a microscope rechecking.
The invention also provides a preferable embodiment of the urine index data detection processing system, which comprises the following steps:
the urine index data detection processing system comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize the following steps:
acquiring original detection data of conventional detection of a urine sample;
when the original detection data meet the preset rechecking conditions, carrying out alarm prompting and rechecking on the urine sample to obtain rechecking data;
updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition;
and generating a detection report according to the original detection data, the updated reinspection condition and the reinspection data.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (10)
1. A urine index data detection processing method is characterized by comprising the following steps:
acquiring original detection data of conventional detection of a urine sample;
when the original detection data meet the preset rechecking conditions, carrying out alarm prompting and rechecking on the urine sample to obtain rechecking data;
updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition;
and generating a detection report according to the original detection data, the updated reinspection condition and the reinspection data.
2. The urine index data detection processing method according to claim 1, wherein the index of the raw detection data includes: WBC, RBC, CAST, LEU, BLD, and PRO; before the original detection data of the conventional detection of the urine sample is obtained, the detection processing method of the urine index data comprises the following steps:
setting a preset rechecking condition database, wherein the preset rechecking condition database is used for comparing with the original detection data; the preset reinspection conditions in the preset reinspection condition database all include the following indexes: WBC, RBC, CAST, LEU, BLD, and PRO.
3. The urine index data detection processing method according to claim 2, wherein the preset rechecking condition includes:
WBC positive and RBC negative and CAST negative and LEU positive and BLD negative and PRO negative; WBC positive and RBC negative and CAST negative and LEU negative and BLD positive and PRO negative; WBC positive and RBC negative and CAST negative and LEU negative and BLD negative and PRO positive; WBC positive and RBC negative and CAST negative and LEU positive and BLD positive and PRO negative; WBC positive and RBC negative and CAST negative and LEU positive and BLD negative and PRO positive; WBC positive and RBC negative and CAST negative and LEU negative and BLD positive and PRO positive; WBC positive and RBC negative and CAST negative and LEU positive and BLD positive and PRO positive; WBC positive and RBC negative and CAST negative and LEU negative and BLD negative and PRO negative; WBC negative and RBC positive and CAST negative and LEU positive and BLD negative and PRO negative; WBC negative and RBC positive and CAST negative and LEU negative and BLD positive and PRO negative; WBC negative and RBC positive and CAST negative and LEU negative and BLD negative and PRO positive; WBC negative and RBC positive and CAST negative and LEU positive and BLD positive and PRO negative; WBC negative and RBC positive and CAST negative and LEU positive and BLD negative and PRO positive; WBC negative and RBC positive and CAST negative and LEU negative and BLD positive and PRO positive; WBC negative and RBC positive and CAST negative and LEU positive and BLD positive and PRO positive; WBC negative and RBC positive and CAST negative and LEU negative and BLD negative and PRO negative; WBC negative and RBC negative and CAST positive and LEU positive and BLD negative and PRO negative; WBC negative and RBC negative and CAST positive and LEU negative and BLD positive and PRO negative; WBC negative and RBC negative and CAST positive and LEU negative and BLD negative and PRO positive; WBC negative and RBC negative and CAST positive and LEU positive and BLD positive and PRO negative; WBC negative and RBC negative and CAST positive and LEU positive and BLD negative and PRO positive; WBC negative and RBC negative and CAST positive and LEU negative and BLD positive and PRO positive; WBC negative and RBC negative and CAST positive and LEU positive and BLD positive and PRO positive; WBC negative and RBC negative and CAST positive and LEU negative and BLD negative and PRO negative; WBC positive and RBC positive and CAST negative and LEU positive and BLD negative and PRO negative; WBC positive and RBC positive and CAST negative and LEU negative and BLD positive and PRO negative; WBC positive and RBC positive and CAST negative and LEU negative and BLD negative and PRO positive; WBC positive and RBC positive and CAST negative and LEU positive and BLD positive and PRO negative; WBC positive and RBC positive and CAST negative and LEU positive and BLD negative and PRO positive; WBC positive and RBC positive and CAST negative and LEU negative and BLD positive and PRO positive; WBC positive and RBC positive and CAST negative and LEU positive and BLD positive and PRO positive; WBC positive and RBC positive and CAST negative and LEU negative and BLD negative and PRO negative; WBC positive and RBC negative and CAST positive and LEU positive and BLD negative and PRO negative; WBC positive and RBC negative and CAST positive and LEU negative and BLD positive and PRO negative; and WBC positive and RBC negative and CAST positive and LEU negative and BLD negative and PRO positive;
wherein, the reference interval of WBC is 0-17/muL, the reference interval of RBC is 0-28/muL, and the reference interval of CAST is 0-1/muL.
4. The urine index data detection processing method according to claim 3, wherein the preset rechecking condition includes: a first retest condition and a second retest condition;
when the original detection data meet the preset reinspection condition, the urine sample is reinspected to obtain reinspection data, which comprises the following steps:
when the original detection data meet the first reinspection condition, reinspecting the urine sample to obtain reinspection data;
and when the original detection data do not meet the first reinspection condition and meet the second reinspection condition, auditing the original detection data, and reinspecting the urine sample according to an auditing result to obtain reinspection data.
5. The method for detecting and processing urine index data according to claim 4, wherein after the original detection data of routine detection of the urine sample is obtained, the method for detecting and processing urine index data further comprises:
and when the original detection data do not meet the preset rechecking condition, generating a detection report according to the original detection data.
6. The method for detecting and processing urine index data according to claim 5, wherein when the original detection data does not satisfy a preset retest condition, generating a detection report according to the original detection data comprises:
and when the original detection data does not satisfy the first reinspection condition and does not satisfy the second reinspection condition, generating a detection report according to the original detection data.
7. The urine index data detection processing method according to claim 3, wherein the index of the reinspection data includes: WBC, RBC, CAST, LEU, BLD, and PRO;
the updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition includes:
and updating the reference interval of the corresponding index in the preset reinspection condition aiming at each index in the reinspection data to obtain an updated reinspection condition.
8. The urine index data detection processing method of claim 1, wherein the review includes a microscopic review.
9. A urine index data detection processing system is characterized by comprising:
the acquisition unit is used for acquiring original detection data of routine detection of the urine sample;
the early warning unit is used for carrying out alarm prompt and carrying out reinspection on the urine sample to obtain reinspection data when the original detection data meet the preset reinspection condition;
the updating unit is used for updating the preset reinspection condition according to the reinspection data to obtain an updated reinspection condition;
and the report unit is used for generating a detection report according to the original detection data, the updated reinspection condition and the reinspection data.
10. A urine index data detection processing system comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the urine index data detection processing method according to any one of claims 1 to 8 when executing the computer program.
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