CN106529202A - Intelligent auditing system and method for medical specimen testing - Google Patents
Intelligent auditing system and method for medical specimen testing Download PDFInfo
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- CN106529202A CN106529202A CN201611184059.6A CN201611184059A CN106529202A CN 106529202 A CN106529202 A CN 106529202A CN 201611184059 A CN201611184059 A CN 201611184059A CN 106529202 A CN106529202 A CN 106529202A
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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Abstract
The invention discloses an intelligent auditing system for medical specimen testing, and relates to the technical field of medical testing. The intelligent auditing system comprises an abnormity prompt module, an information receiving module, a specimen receiving module, a data auditing module and a result auditing module; the specimen receiving module is used for recording to-be-tested specimen information of a specimen corresponding to a patient, extracting a standard specimen type corresponding to a testing item recorded in the information receiving module and comparing the standard specimen type with a to-be-tested specimen type; a haemolytic index threshold value, a lipemia index threshold value and an icterus index threshold value are stored in the data auditing module, and the data auditing module is used for receiving testing data of the specimen and comparing a haemolytic index, a lipemia index and an icterus index in the testing data with the threshold values; the result auditing module inputs the testing data to a data analysis model corresponding to the testing item and comparing a testing result of the specimen with a model analysis result. The invention further discloses an intelligent auditing method for medical specimen testing. The intelligent auditing system and method are beneficial for improving the efficiency of medical testing and increasing the intelligent degree of medical testing.
Description
Technical field
The present invention relates to the technical field of medical treatment detection, and in particular to a kind of intelligent checks system for medical specimen detection
System and method.
Background technology
China is the first big country of world population, although having received the factors such as conventional family planning policy affects the natural growth of the population
Rate has been in downward trend year by year, but total number of people persistently rises, and the medical number of medical institutions accordingly increases；Cut-off year in 2014
Bottom, the aged of China's over-65s become the most country of the aged in the world more than 1.3 hundred million.In addition, life water
It is flat lifted cause chronic disease increase, medical treatment consciousness increase caused by self health check-up frequency rise, be based on more than, between 2005-2014,
The average compound growth rate of medical institutions of China quantity is 1.19%；Medical institutions' bedspace annual average compound growth rate is 7.77%,
Clinical laboratory of medical institutions detection pressure is caused persistently to increase substantially.
The Central Committee of the Communist Party of China, State Council announce within 2009《With regard to deepening the suggestion of Health system reform》Open new one
The tide of wheel medical reform, refer to public hospital's scale domination in method, encourage Private Capital to arrange medical institutions.Private mechanism will
Substantial amounts of primary care is served, the sustainable growth of detection pressure is caused.
Nowadays, with the increase of inspection project, the increase of specimen amount, sample turnaround time will be prolonged according to original flow process
It is long, but the clinical demand and laws and regulations requirement of the above requires that laboratory shortens the sample turnaround time as far as possible, how without any confusion
Sample is classified, rationally effectively optimization experiment room testing process, the reasonable convenience of laboratory information system design into
In order to shorten the key link of sample turnaround time.The classification of the project of independent laboratory development at present is mainly divided：Physics and chemistry mass spectrum is examined
Test, genome inspection, pathological diagnosis, biochemical luminous inspection, immunological test, other comprehensive tests etc., because detection project it is many, plus
Beginning a project, it is fast to weed out the old and bring forth the new, and the requirement to testing result auditor is also constantly lifted.
Exceptional sample, except sample is disturbed, such as lipidemia, haemolysis also need the project that artificial judgment screens, this portion including result
The confirmation of point result needs to carry out artificial treatment, such as centrifugation survey again, push jack microscopy or contact it is clinical.This part sample expends a large amount of
Time significantly can postpone other report send the time；Simultaneously under the pressure of sample turnaround time, lab assistant can
Can neglect or the due handling process of simplification, cause the risk of result to be significantly increased.Nowadays, almost all of laboratory report
List is accused by manually signing and issuing, it is about more than 1000 that one sign and issue report personnel to be signed and issued reporting quantities a working day, and
And the most of limitation of these work is at night to morning (21:00-04:00) carry out, the time period prolonged computation is examined
Nuclear Data, is easy to cause the dual fatigue of vision and body and mind, causes the generation of mistake；Meanwhile, if the result of report is related to learn
Comparison and analysis between section, in addition it is also necessary to substantial amounts of manual historical record inquiry, the work of whole data analysiss will continue 6 hours with
On.
The content of the invention
For the deficiencies in the prior art, the purpose of the present invention aims to provide a kind of intelligent checks for medical specimen detection
System and method for, the detection to specimen are audited and are monitored, and point out abnormal conditions in time, are conducive to improving the effect of medical treatment detection
Rate and intelligence degree.
For achieving the above object, the present invention is adopted the following technical scheme that：
A kind of intelligent checks system for medical specimen detection, includes：
Abnormal prompt module, for the abnormal conditions for pointing out to occur in detection process；
Contrasting data module, standard specimen types and the standard essential information being stored with corresponding to each detection project, deposits
The reference information corresponding to each detection project is contained, the reference information is the conjunction corresponding to each index in each detection project
Reason domain of walker or threshold values, be also stored with contrasting data module positive rate zone of reasonableness；
Information receiving module, for typing patient basis and detection project；
Specimen receiver module, corresponds to the specimen information to be measured of the specimen of patient, the specimen information bag to be measured for typing
Specimen types to be measured are included, is additionally operable to receive the patient basis from information receiving module, the specimen receiver module is according to record
The detection project for entering extracts corresponding standard essential information from contrasting data module, and by the specimen essential information and patient
Essential information is compared item by item, when patient basis are not inconsistent with standard essential information, sends base to abnormal prompt module
The prompting of this Information abnormity；The specimen receiver module extracts standard mark from contrasting data module according to the detection project of typing
This type, standard specimen types are compared with specimen types to be measured, when specimen types to be measured are not inconsistent with standard specimen types,
The abnormal prompting of specimen matching is sent to abnormal prompt module；
Data-auditing module, for receiving the detection data of specimen, the detection data is included corresponding to each of detection project
Individual Indexs measure data, extract the reference information corresponding to detection project from contrasting data module, and by detection data with
Reference information is compared, when the arbitrary Indexs measure data in detection data are not inconsistent with corresponding reasonable domain of walker or threshold values
When, the prompting of Samples detection data exception is sent and by abnormal Indexs measure data is activation to exception to abnormal prompt module
Reminding module；
As a result release module, for counting the positive rate of same day Samples detection, extracts the positive from contrasting data module
Rate zone of reasonableness, the positive rate of same day Samples detection that statistics draws is compared with positive rate zone of reasonableness, when counting
The positive rate of the same day Samples detection for going out not in positive rate zone of reasonableness when, send positive rate to abnormal prompt module abnormal
Prompting.
Further, the standard essential information in contrasting data module includes sex and age, records in information receiving module
The patient basis for entering include sex, age and allergies.
Further, the patient basis in information receiving module include the sampling time of sample to be tested, and specimen is received
Specimen information to be measured in module includes the detection time of specimen to be measured, when specimen receiver module calculates the detection of specimen to be measured
Between interval duration between the sampling time, when interval duration threshold value of the interval duration more than setting, specimen receiver module
The abnormal prompting of detection time is sent to abnormal prompt module.
Further, also including audit log module, it is provided with according to date and time sequencing in the audit log module
The audit log of arrangement, the audit log in units of patient, and correspondence is refreshed according to the newest detection date and time of patient
The abnormal conditions occurred in detection process are uploaded to by sequence of the audit log in audit log module, the abnormal prompt module
In the audit log of respective patient.
Further, in contrasting data module, reference information includes that hemolytic index threshold value, lipidemia index threshold and jaundice refer to
Number threshold value.
A kind of intelligent checks method for medical specimen detection, includes following steps：
S1, in information receiving module typing patient basis and detection project；
S2, in specimen receiver module typing corresponding to patient specimen specimen information to be measured, the specimen information to be measured
Including specimen types to be measured and specimen sampling time to be measured, the specimen receiver module receives the patient's base from information receiving module
This information, and corresponding standard essential information is extracted from contrasting data module according to the detection project of typing, by the specimen
Essential information is compared item by item with patient basis, when patient basis are not inconsistent with standard essential information, to exception
Reminding module sends the abnormal prompting of essential information；The specimen receiver module is according to the detection project of typing from contrasting data module
In extract standard specimen types, and the standard specimen types are compared with specimen types to be measured, treat mark when new typing
When this type and the standard specimen types corresponding to the detection project of typing are not inconsistent, specimen matching is sent to abnormal prompt module different
Normal prompting；
S3, data-auditing module receive specimen detection data, the detection data include corresponding to detection project each
Indexs measure data, data-auditing module extract the reference information corresponding to detection project from contrasting data module, and will
Detection data is compared with reference information, when the arbitrary Indexs measure data in detection data and corresponding reasonable domain of walker
Or threshold values is not when being inconsistent, the prompting of Samples detection data exception is sent and by abnormal Indexs measure data to abnormal prompt module
It is sent to abnormal prompt module；
S4, result release module count the positive rate of same day Samples detection, from contrasting data module extract positive rate
Zone of reasonableness, the positive rate of the same day Samples detection that statistics is drawn are compared with positive rate zone of reasonableness, when statistics draws
Same day Samples detection positive rate not in positive rate zone of reasonableness when, send to abnormal prompt module that positive rate is abnormal to be carried
Show.
Further, in step S1, the patient basis of typing include sex, age and allergies；In step S2, should
Standard essential information in contrasting data module includes sex and age.
Further, in step S1, the patient basis in information receiving module include the sampling time of sample to be tested；
In step S2, the specimen information to be measured in specimen receiver module includes the detection time of specimen to be measured, and specimen receiver module is calculated
The interval duration gone out between the detection time of specimen and specimen sampling time to be measured, when interval of the interval duration more than setting
During long threshold value, specimen receiver module sends the abnormal prompting of detection time to abnormal prompt module.
Further, in step S3, reference information includes hemolytic index threshold value, lipidemia index threshold and icteric index threshold
Value.
Further, also including step S5：
The abnormal conditions occurred in detection process are uploaded to the audit log of respective patient for S5, the abnormal prompt module
In, it is provided with the audit log module according to date and time tactic audit log, the audit log with patient is
Unit simultaneously refreshes correspondence sequence of the audit log in audit log module according to the newest detection date and time of patient.
The beneficial effects of the present invention is：Realize to Samples detection from receiving sample to drawing the whole detection stream of testing result
The examination ＆ verification and monitoring of journey, realizes the intellectuality examination ＆ verification to Samples detection, substitutes traditional manual examination and verification, unified auditing standards,
Avoid the auditing standards for varying with each individual or the mental status it is not good cause audit mistakes and omissions, improve review efficiency；Greatly reduce careful
The cost of labor of core flow process；Automatically long specimen matching error, blood samples storage time, specimen data exception, detection number are investigated out
According to abnormal conditions such as abnormal, detection perforated scrofula of neck, and abnormal prompt is carried out by abnormal prompt module, improve the pass to detecting abnormal conditions
Note degree, is conducive to improving the quality of Samples detection.
Description of the drawings
Fig. 1 is a kind of structured flowchart of the intelligent checks system for medical specimen detection in the present invention.
Specific embodiment
Below, with reference to accompanying drawing and specific embodiment, the present invention is described further：
Embodiment 1
As shown in figure 1, a kind of intelligent checks system for medical specimen detection, includes：
Abnormal prompt module, the abnormal conditions to occurring in detection process are pointed out；
Contrasting data module, standard specimen types and the standard essential information being stored with corresponding to each detection project, mark
Quasi- essential information includes the relevant informations such as sex, age, pregnant day；The reference information being stored with corresponding to each detection project, should
Reference information is reasonable domain of walker or the threshold values corresponding to each index in each detection project, and the reference information includes haemolysis
Index threshold, lipidemia index threshold and icteric index threshold value, be also stored with contrasting data module positive rate zone of reasonableness；
Information receiving module, for typing patient basis and detection project, patient basis include sex, age
With the comparable data such as allergies, also including the sampling time of sample to be tested；
Specimen receiver module, for typing is corresponding to the specimen information to be measured of the specimen of patient and sends to data examination ＆ verification
Module, the specimen information to be measured include the detection time of specimen types to be measured and specimen to be measured, are additionally operable to reception and carry out self-information connect
The patient basis for receiving module, it is right that the specimen receiver module is extracted from contrasting data module according to the detection project of typing
The standard essential information answered, and the specimen essential information is compared with patient basis, when patient basis and mark
When quasi- essential information is not inconsistent, the abnormal prompting of essential information is sent to abnormal prompt module；The specimen receiver module is according to typing
Detection project extract standard specimen types from contrasting data module, by standard specimen types compared with specimen types to be measured
Compared with when specimen types to be measured are not inconsistent with standard specimen types, to the prompting that the transmission specimen matching of abnormal prompt module is abnormal；Mark
This receiver module also calculates the detection time of specimen to be measured and the interval duration between the sampling time, when the interval duration is more than
During the interval duration threshold value of setting, specimen receiver module sends the abnormal prompting of detection time to abnormal prompt module；
Data-auditing module, for receiving the detection data of specimen, the detection data is included corresponding to each of detection project
Individual Indexs measure data；Data-auditing module is linked with the data monitoring storehouse of detecting instrument equipment, receives the detection of specimen
After data, data-auditing module searches for the quality detecting data of coherent detection instrument from the data monitoring storehouse of detecting instrument equipment, when
Coherent detection instrument is searched in effective quality inspection time memory during renewal and the quality detecting data up to standard in quality detecting data, this intelligence
Energy auditing system proceeds data examination ＆ verification, when coherent detection instrument does not have the renewal of quality detecting data within effective quality inspection time
Or quality detecting data it is not up to standard when, this intelligent checks system will terminate examination ＆ verification to Samples detection data, effective quality inspection time setting
It is one section of determination duration before the Samples detection time；By the detection project phase of detection data and typing in information receiving module
Relatively, when the situation for finding to there is perforated scrofula of neck, the prompting of detection perforated scrofula of neck is sent to abnormal prompt module；Data-auditing module is from control
The reference information corresponding to detection project is extracted in data module, and detection data is compared with reference information, work as inspection
When the arbitrary Indexs measure data surveyed in data are not inconsistent with corresponding reasonable domain of walker or threshold values, send to abnormal prompt module
The prompting of Samples detection data exception and by abnormal Indexs measure data is activation to abnormal prompt module；
As a result release module, provide automatically the detection project reported for arranging, when the detection for being set to automatic granting
Mesh after corresponding all examination ＆ verifications can onset detection and audit report automatically, as a result release module also count
Announcement rate and theoretical automatic granting reporting rate, provide automatically reporting rate and reflect in the detection project that granting is reported automatically is set to
Automatically the ratio of report is provided, theoretical reporting rate of providing automatically reflects the reason that can provide automatically report in all detection projects
By maximum ratio；It is additionally operable to count the positive rate of same day Samples detection, extracts the reasonable model of positive rate from contrasting data module
Enclose, the positive rate of the same day Samples detection that statistics is drawn is compared with positive rate zone of reasonableness, when the same day that statistics draws
The positive rate of Samples detection not in positive rate zone of reasonableness when, send the abnormal prompting of positive rate to abnormal prompt module；When
Same day specimen amount is counted to positive rate using Poisson distribution when reaching setting value, is made when same day specimen amount is less than setting value
Positive rate is counted with binomial distribution；
Audit log module, is provided with the audit log module according to date and time tactic audit log,
The audit log in units of patient, and correspondence audit log is refreshed in examination ＆ verification day according to the newest detection date and time of patient
The abnormal conditions occurred in detection process are uploaded to the examination ＆ verification day of respective patient for sequence in will module, the abnormal prompt module
In will.
This intelligent checks system is being carried out by data auditing system to be linked in the data monitoring storehouse of detecting instrument equipment
Before the examination ＆ verification of Samples detection data, judge whether the detecting instrument of correlation passes through quality inspection within effective quality inspection time；If related
Detecting instrument within effective quality inspection time by quality inspection, then the detection data of specimen is measured on the instrument of normal operation, number
According to effective, follow-up data examination ＆ verification can be carried out；If the detecting instrument of correlation do not carry out within effective quality inspection time quality inspection or
Not over quality inspection, then the detection data of specimen will be not trusted, data invalid, terminate data examination ＆ verification.So as to substantially increase
The reliability of testing result.
Embodiment 2
A kind of intelligent checks method for medical specimen detection, includes following steps：
S1, in information receiving module typing patient basis and detection project, patient basis include sex, year
The comparable data such as age and allergic medicine history, also including the sampling time of specimen to be measured；
S2, in specimen receiver module typing corresponding to patient specimen specimen information to be measured, the specimen information to be measured
Including the detection time of specimen types to be measured and specimen to be measured, specimen receiver module receives the patient's base from information receiving module
This information, and corresponding standard essential information is extracted from contrasting data module according to the detection project of typing, by the specimen
Essential information is compared with patient basis, and standard essential information includes the relevant informations such as sex, age, pregnant day, works as trouble
When person's essential information is not inconsistent with standard essential information, the abnormal prompting of essential information is sent to abnormal prompt module；The specimen connects
Receive module and standard specimen types are extracted from contrasting data module according to the detection project of typing, and by the standard specimen types
Compared with specimen types to be measured, the standard specimen class of the specimen types to be measured when new typing and the detection project corresponding to typing
When type is not inconsistent, the abnormal prompting of specimen matching is sent to abnormal prompt module；Specimen receiver module also calculates specimen to be measured
Interval duration between detection time and sampling time, when interval duration threshold value of the interval duration more than setting, specimen connects
Receive module the abnormal prompting of detection time is sent to abnormal prompt module；
S3, data-auditing module receive specimen detection data, the detection data include corresponding to detection project each
Between Indexs measure data, detection data is compared with the detection project of typing in information receiving module, when discovery has perforated scrofula of neck
Situation, to abnormal prompt module send detection perforated scrofula of neck prompting；It is right that data-auditing module is extracted from contrasting data module
In the reference information of detection project, and detection data should be compared with reference information, when the arbitrary index in detection data
When detection data is not inconsistent with corresponding reasonable domain of walker or threshold values, Samples detection data exception is sent to abnormal prompt module
Prompting, and by abnormal Indexs measure data is activation to abnormal prompt module；
S4, result release module count the positive rate of same day Samples detection, from contrasting data module extract positive rate
Zone of reasonableness, the positive rate of the same day Samples detection that statistics is drawn are compared with positive rate zone of reasonableness, when statistics draws
Same day Samples detection positive rate not in positive rate zone of reasonableness when, send to abnormal prompt module that positive rate is abnormal to be carried
Show.
The abnormal conditions occurred in detection process are uploaded to the audit log of respective patient for S5, the abnormal prompt module
In, it is provided with the audit log module according to date and time tactic audit log, the audit log with patient is
Unit simultaneously refreshes correspondence sequence of the audit log in audit log module according to the newest detection date and time of patient.
It will be apparent to those skilled in the art that technical scheme that can be as described above and design, make other various
It is corresponding to change and deformation, and all these change and deformation should all belong to the protection domain of the claims in the present invention
Within.
Claims (10)
1. it is a kind of for medical specimen detection intelligent checks system, it is characterised in that include：
Abnormal prompt module, for the abnormal conditions for pointing out to occur in detection process；
Contrasting data module, standard specimen types and the standard essential information being stored with corresponding to each detection project, is stored with
Corresponding to the reference information of each detection project, the reference information be corresponding in each detection project each index it is reasonable
Domain of walker or threshold values, be also stored with contrasting data module positive rate zone of reasonableness；
Information receiving module, for typing patient basis and detection project；
Specimen receiver module, corresponds to the specimen information to be measured of the specimen of patient for typing, and the specimen information to be measured includes
Specimen types to be measured, are additionally operable to receive the patient basis from information receiving module, and the specimen receiver module is according to record
The detection project for entering extracts corresponding standard essential information from contrasting data module, and by the specimen essential information and patient
Essential information is compared, and when patient basis are not inconsistent with standard essential information, sends basic letter to abnormal prompt module
The abnormal prompting of breath；The specimen receiver module extracts standard specimen from contrasting data module according to the detection project of typing
Type, standard specimen types are compared with specimen types to be measured, when specimen types to be measured are not inconsistent with standard specimen types, to
Abnormal prompt module sends the abnormal prompting of specimen matching；
Data-auditing module, for receiving the detection data of specimen, the detection data include corresponding to detection project each
Indexs measure data, extract the reference information corresponding to detection project from contrasting data module, and by detection data and ginseng
The information of examining is compared, when the arbitrary Indexs measure data in detection data are not inconsistent with corresponding reasonable domain of walker or threshold values
When, the prompting of Samples detection data exception is sent and by abnormal Indexs measure data is activation to exception to abnormal prompt module
Reminding module；
As a result release module, for counting the positive rate of same day Samples detection, extracts positive rate conjunction from contrasting data module
Reason scope, the positive rate of same day Samples detection that statistics draws is compared with positive rate zone of reasonableness, when counting what is drawn
The positive rate of same day Samples detection not in positive rate zone of reasonableness when, send to abnormal prompt module that positive rate is abnormal to be carried
Show.
2. it is as claimed in claim 1 to be used for the intelligent checks system that medical specimen is detected, it is characterised in that the contrasting data
Standard essential information in module includes sex and age, in information receiving module the patient basis of typing include sex,
Age and allergies.
3. it is as claimed in claim 1 to be used for the intelligent checks system that medical specimen is detected, it is characterised in that described information is received
Patient basis in module include the sampling time of sample to be tested, the specimen information bag to be measured in the specimen receiver module
The detection time of specimen to be measured is included, the specimen receiver module calculates the detection time of specimen to be measured and between the sampling time
Interval duration, when interval duration threshold value of the interval duration more than setting, specimen receiver module is sent to abnormal prompt module
The abnormal prompting of detection time.
4. it is as claimed in claim 1 to be used for the intelligent checks system that medical specimen is detected, it is characterised in that also including examination ＆ verification day
Will module, is provided with the audit log module according to date and time tactic audit log, the audit log
In units of patient, and correspondence audit log is refreshed in audit log module according to the newest detection date and time of patient
Sequence, the abnormal prompt module are uploaded to the abnormal conditions occurred in detection process in the audit log of respective patient.
5. it is as claimed in claim 1 to be used for the intelligent checks system that medical specimen is detected, it is characterised in that the contrasting data
In module, the reference information includes hemolytic index threshold value, lipidemia index threshold and icteric index threshold value.
6. it is a kind of for medical specimen detection intelligent checks method, it is characterised in that include following steps：
S1, in information receiving module typing patient basis and detection project；
S2, in specimen receiver module typing corresponding to patient specimen specimen information to be measured, the specimen information bag to be measured
Specimen types to be measured and specimen sampling time to be measured is included, the specimen receiver module receives the patient's base from information receiving module
This information, and corresponding standard essential information is extracted from contrasting data module according to the detection project of typing, by the specimen
Essential information is compared item by item with patient basis, when patient basis are not inconsistent with standard essential information, to exception
Reminding module sends the abnormal prompting of essential information；The specimen receiver module is according to the detection project of typing from contrasting data mould
Standard specimen types are extracted in block, and the standard specimen types are compared with specimen types to be measured, when treating for new typing
When survey specimen types and the standard specimen types corresponding to the detection project of typing are not inconsistent, specimen is sent to abnormal prompt module
With abnormal prompting；
S3, data-auditing module receive the detection data of specimen, and the detection data includes referring to corresponding to each of detection project
Mark detection data, data-auditing module extract the reference information corresponding to detection project from contrasting data module, and will inspection
Survey data to compare with reference information, when the arbitrary Indexs measure data in detection data and corresponding reasonable domain of walker or
When threshold values is not inconsistent, the prompting of Samples detection data exception the Indexs measure data by exception is sent to abnormal prompt module
It is sent to abnormal prompt module；
S4, result release module count the positive rate of same day Samples detection, extract positive rate reasonable from contrasting data module
Scope, the positive rate of the same day Samples detection that statistics is drawn are compared with positive rate zone of reasonableness, when working as that statistics draws
The positive rate of day Samples detection not in positive rate zone of reasonableness when, send the abnormal prompting of positive rate to abnormal prompt module.
7. it is as claimed in claim 6 to be used for the intelligent checks method that medical specimen is detected, it is characterised in that step S1
In, the patient basis of typing include sex, age and allergies；In step S2, in the contrasting data module
Standard essential information includes sex and age.
8. it is as claimed in claim 6 to be used for the intelligent checks method that medical specimen is detected, it is characterised in that step S1
In, the patient basis in information receiving module include the sampling time of sample to be tested；In step S2, the specimen receives mould
Specimen information to be measured in block includes the detection time of specimen to be measured, and the specimen receiver module calculates the detection time of specimen
With the interval duration between the specimen sampling time to be measured, when interval duration threshold value of the interval duration more than setting, specimen connects
Receive module the abnormal prompting of detection time is sent to abnormal prompt module.
9. as described in claim 6 or 8 for medical specimen detection intelligent checks method, it is characterised in that the step
In S3, the reference information includes hemolytic index threshold value, lipidemia index threshold and icteric index threshold value.
10. as described in claim 6 or 8 for medical specimen detection intelligent checks method, it is characterised in that also including step
Rapid S5：
S5, the abnormal prompt module are uploaded to the abnormal conditions occurred in detection process in the audit log of respective patient,
It is provided with the audit log module according to date and time tactic audit log, the audit log with patient is
Unit simultaneously refreshes correspondence sequence of the audit log in audit log module according to the newest detection date and time of patient.
Priority Applications (6)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611184059.6A CN106529202A (en) | 2016-12-20 | 2016-12-20 | Intelligent auditing system and method for medical specimen testing |
| CN201710375173.5A CN107133482A (en) | 2016-12-20 | 2017-05-24 | The data early warning method and device analyzed for inspection specimen |
| CN201710374886.XA CN107229827A (en) | 2016-12-20 | 2017-05-24 | Data checking early warning method and device for autoimmune disease detection and analysis |
| CN201710374783.3A CN107301315B (en) | 2016-12-20 | 2017-05-24 | Intelligent checks method and device for medical specimen detection |
| CN201710376471.6A CN107358018B (en) | 2016-12-20 | 2017-05-24 | Early warning method and device for prenatal and postnatal care examination project |
| CN201710375626.4A CN107341337A (en) | 2016-12-20 | 2017-05-24 | Project checking early warning method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611184059.6A CN106529202A (en) | 2016-12-20 | 2016-12-20 | Intelligent auditing system and method for medical specimen testing |
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| CN201710374886.XA Pending CN107229827A (en) | 2016-12-20 | 2017-05-24 | Data checking early warning method and device for autoimmune disease detection and analysis |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN107358018A (en) | 2017-11-17 |
| CN107358018B (en) | 2020-12-04 |
| CN107341337A (en) | 2017-11-10 |
| CN107229827A (en) | 2017-10-03 |
| CN107133482A (en) | 2017-09-05 |
| CN107301315A (en) | 2017-10-27 |
| CN107301315B (en) | 2018-05-15 |
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