CN106372428A - Detection method of untoward effect information of medicine clinic abnormal indexes - Google Patents
Detection method of untoward effect information of medicine clinic abnormal indexes Download PDFInfo
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- CN106372428A CN106372428A CN201610797195.6A CN201610797195A CN106372428A CN 106372428 A CN106372428 A CN 106372428A CN 201610797195 A CN201610797195 A CN 201610797195A CN 106372428 A CN106372428 A CN 106372428A
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Abstract
The invention relates to a detection method of untoward effect information of medicine clinic abnormal indexes. The method comprises the following steps of setting an EMR (electronic medical record) interface data uploading mode; receiving EMR data by a data interface to form a first EMR database; processing and screening the data in the first EMR database; generating a second EMR database of study medical record information containing abnormal clinic indexes; screening away unreasonable recipe/medical advice information in the second EMR database to obtain a third EMR database of the study medical record information; using the third EMR database to perform untoward effect detection on the clinic index abnormality. The detection method of the untoward effect information of medicine clinic abnormal indexes provided by the invention has the advantages that the untoward effect of the clinic index abnormality due to medicine can be effectively detected; online early warning can be realized on a doctor terminal, a nurse terminal and a pharmacist prescription review terminal; the medicine stop can be reminded in time, so that the range expansion and injury increase of adverse medicine events can be effectively avoided.
Description
Technical field
The present invention relates to field of information processing, more particularly, to a kind of inspection of the untoward reaction information of clinical drug abnormal index
Survey method.
Background technology
The untoward reaction of clinical drug abnormal index refers to by normal usage, the prevention of consumption drug application, diagnosis or treats
In lysis, there is the adverse reaction unrelated with therapeutic purposes.Its specific occurrence condition be by normal dose with just conventional
Method medication, eliminates because of drug dependence, excess misuse in terms of content, does not use situations such as medicine and quality problems by prescriptive procedure
Caused reaction.
Existing adverse drug reaction detection method is all based on greatly the spontaneous reporting system of untoward reaction.However, it is bad anti-
Spontaneous reporting system some shortcomings should be had to hinder the effectiveness of signal detection.First, clinically generally existing adverse drug is anti-
The situation that should not report, this means that the data of the spontaneous reporting system of untoward reaction is not complete, or is therefrom difficult to realize not
The adverse drug reaction known, particularly abnormal clinical indices, have impact on the effectiveness of adverse drug reaction signal detection.
Content of the invention
It is an object of the invention to provide a kind of detection method of the untoward reaction information of clinical drug abnormal index, to solve
The untoward reaction of clinical drug abnormal index cannot be carried out in prior art with the problem of effective detection.
For achieving the above object, the invention provides a kind of detection side of the untoward reaction information of clinical drug abnormal index
Method, including:
Step 1, sets electronic health record emr interface data and uploads mode, receive emr data using data-interface, form the
One emr data base；
Step 2, the data in a described emr data base is processed and is screened, and generates and contains abnormal clinical index
Research case information the 2nd emr data base；
Step 3, the prescription,irrational/doctor's advice information in described 2nd emr data base is screened out, and obtains studying case
3rd emr data base of information；
Step 4, carries out the abnormal untoward reaction detection of clinical indices using described 3rd emr data base.
Further, described step 2 specifically includes:
Set the data data threshold value of abnormal clinical index；
Screen out solvent doctor's advice information；
Standing orders information is split as being dispersed in the individual event doctor's advice information of time shafts；
The clinical abnormal index information repeating only is retained the abnormal index information occurring for the first time；
Retained when the abnormal clinical extracting twice index time interval is longer than 5 days；
The abnormal clinical indication information that patient is just had before medication is set as base-line data, by the identical exception after medication
Clinical indices information screens out.
Further, described step 2 also includes: by the multiple medicines in electronic medical record information and multinomial clinical indices
Extremely split.
Further, described step 4 specifically includes:
Step 41, sets the combination table of medicine the first abnormal clinical indication information effective time window；When discovery case
When information meets the combination table of described medicine the first abnormal clinical index effective time window, derive described 3rd emr data
Storehouse includes case, medical diagnosis on disease, medicine, doctor's advice and time, abnormal clinical desired value and time and demography data.
Further, described step 4 specifically includes:
Step 41, sets the combination table of medicine the second abnormal clinical indication information effective time window；From the 3rd emr number
According to storehouse selected target medicine and target abnormal clinical indication information, described 3rd emr data base is analyzed, obtains medicine
The frequency of occurrence of abnormal clinical index.
Further, the data processing algorithm of described data base includes the unbalance measurement method of ratio, Bayesian statistic algorithm, determines
Plan tree method, association rule algorithm, genetic algorithm, classification and clustering algorithm.
The detection method of the untoward reaction information of clinical drug abnormal index that the present invention provides, can be based on emr data
Effectively examined with unknown untoward reaction known to the clinical indices exception that storehouse is quick, accurately and efficiently medicine is caused
Survey, examine square end and carry out on-line early warning to doctor terminal and nurse end, pharmacist, remind and be discontinued in time, thus being prevented effectively from adverse drug
The expanded range of event, injury increase.
Brief description
The detection method flow chart of the untoward reaction information of the clinical drug abnormal index that Fig. 1 provides for the present invention.
Specific embodiment
Below by drawings and Examples, technical scheme is described in further detail.
Adverse drug events are defined as adverse drug impression by World Health Organization (WHO), refer to be occurred in drug treatment
Any unfortunate health care event, and this event not necessarily has cause effect relation with Drug therapy.Angle from Drug therapy
Degree sets out, and obtains the definition of adverse drug events, refers to the body damage being associated with medicine.Adverse drug events include two
Key element: one be adverse events be to be caused by using medicine, two be produce result harmful.
The present invention can be audited in real time to medicine abnormal clinical index, and the medicine abnormal to wherein there are clinical indices
Product adverse events are pointed out.Square end can be examined in doctor terminal, nurse end and pharmacist to be pointed out, make timely drug withdrawal and process.
Electronic health record (electronic medical record, emr) in technical solution of the present invention, is also computer
The medical record system changed or title computer based patient record (computer-based patient record, cpr).It is
With the medical recordss of electronic equipment (computer, health card etc.) preservation, management, transmission and the digitized patient reappearing, replace
Hand-written paper case history.Content includes all information of paper case history.
Fig. 1 is the flow chart of the detection method of untoward reaction information of clinical drug abnormal index of the present invention, as Fig. 1 institute
Show, the present invention comprises the steps:
Step 1, sets electronic health record emr interface data and uploads mode, receive emr data using data-interface, form the
One emr data base.
Specifically, the emr of magnanimity is determined arq mode on interface data, data is carried out automatic data collection, checking, extract and
Load, form an emr data base.
Step 2, the data in a described emr data base is processed and is screened, and generates and contains abnormal clinical index
Research case information the 2nd emr data base.
Specifically, set the data data threshold value of abnormal clinical index；Screen out solvent doctor's advice information；Standing orders are believed
Breath is split as being dispersed in the individual event doctor's advice information of time shafts；The clinical abnormal index information repeating only is retained generation for the first time
Abnormal clinical indication information；Retained when the abnormal clinical extracting twice index time interval is longer than 5 days；Patient is existed
The abnormal clinical indication information just having before medication is set as base-line data, by the identical abnormal clinical indication information sieve after medication
Remove.After above process and screening, obtain the 2nd emr data base of the research case information containing abnormal clinical index.
In addition, step 2 also includes extremely carrying out the multiple medicines in electronic medical record information and multinomial clinical indices
Split.
For example, can there are multiple medicines and multinomial clinical indices in an electronic medical record extremely, complete paired data is carried out
Split, to obtain each item data accordingly.It is assumed that having 2 medicines in an electronic medical record, there are 2 kinds of clinical indices abnormal,
4 records can be generated after then splitting, represent 4 kinds of different clinical drug Indexes Abnormality combinations.
Step 3, the prescription,irrational/doctor's advice information in described 2nd emr data base is screened out, and obtains studying case
3rd emr data base of information.
Prescription,irrational/doctor's advice information is comprised in the research case information containing abnormal clinical index obtaining in step 2,
These abnormal clinical indication informations are likely to be the prescription,irrational/doctor's advice issued and cause, and can not illustrate it is medicine itself
The untoward reaction of the clinical drug abnormal index causing is it is therefore desirable to screen out prescription,irrational/doctor's advice information, thus being ground
Study carefully the 3rd emr data base of case information.
Step 4, carries out the abnormal untoward reaction detection of clinical indices using described 3rd emr data base.
Specifically, carry out the abnormal untoward reaction detection of clinical indices using the 3rd emr data base to include to known clinic
The untoward reaction detection of Indexes Abnormality and the untoward reaction detection of unknown clinical indices exception.
The untoward reaction detection abnormal to known clinical indices includes: sets medicine the first abnormal clinical indication information
The combination table of effective time window；When discovery case information meets the combination of medicine the first abnormal clinical index effective time window
During table, derive the 3rd emr data base and include case, medical diagnosis on disease, medicine, doctor's advice and time, abnormal clinical desired value is timely
Between and demography data.Can be combined according to different data parameters and retrieve, be easy to untoward reaction signal verification
Judged and studied.
The untoward reaction detection abnormal to unknown clinical indices includes: sets medicine the second abnormal clinical indication information
The combination table of effective time window；From the 3rd emr data base's selected target medicine and target abnormal clinical indication information, to the 3rd
Emr data base is analyzed, and obtains the frequency of occurrence of medicine abnormal clinical index.
Wherein, the combination table, the medicine second that set medicine the first abnormal clinical indication information effective time window are different
Often the Knowledge Source of the combination table of clinical indices information effective time window includes: package insert, clinical application notice, treatment
Guide etc..
In technical solution of the present invention, the data processing algorithm of data base includes the unbalance measurement method of ratio, Bayesian statistic is calculated
Method, traditional decision-tree, association rule algorithm, genetic algorithm, classification and clustering algorithm.Those skilled in the art can be according to concrete
Need to select different algorithms and algorithm combination to carry out data processing, to realize the untoward reaction to clinical drug abnormal index
Information is detected, judged and is studied.
The detection method of the untoward reaction information of clinical drug abnormal index that the present invention provides, can be based on emr data
Effectively examined with unknown untoward reaction known to the clinical indices exception that storehouse is quick, accurately and efficiently medicine is caused
Survey, examine square end and carry out on-line early warning to doctor terminal and nurse end, pharmacist, remind and be discontinued in time, thus being prevented effectively from adverse drug
The expanded range of event, injury increase.
Professional should further appreciate that, each example describing in conjunction with the embodiments described herein
Unit and algorithm steps, can be hard in order to clearly demonstrate with electronic hardware, computer software or the two be implemented in combination in
Part and the interchangeability of software, generally describe composition and the step of each example in the above description according to function.
These functions to be executed with hardware or software mode actually, the application-specific depending on technical scheme and design constraint.
Professional and technical personnel can use different methods to each specific application realize described function, but this realization
It is not considered that it is beyond the scope of this invention.
The step of the method in conjunction with the embodiments described herein description or algorithm can be with hardware, computing device
Software module, or the combination of the two is implementing.Software module can be placed in random access memory (ram), internal memory, read only memory
(rom), electrically programmable rom, electrically erasable rom, depositor, hard disk, moveable magnetic disc, cd-rom or technical field
In interior known any other form of storage medium.
Above-described specific embodiment, has been carried out to the purpose of the present invention, technical scheme and beneficial effect further
Describe in detail, be should be understood that the specific embodiment that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, all any modification, equivalent substitution and improvement within the spirit and principles in the present invention, done etc., all should comprise
Within protection scope of the present invention.
Claims (6)
1. a kind of detection method of the untoward reaction information of clinical drug abnormal index is it is characterised in that methods described includes:
Step 1, sets electronic health record emr interface data and uploads mode, receive emr data using data-interface, form an emr
Data base；
Step 2, the data in a described emr data base is processed and is screened, and generates grinding containing abnormal clinical index
Study carefully the 2nd emr data base of case information；
Step 3, the prescription,irrational/doctor's advice information in described 2nd emr data base is screened out, and obtains studying case information
The 3rd emr data base；
Step 4, carries out the abnormal untoward reaction detection of clinical indices using described 3rd emr data base.
2. method according to claim 1 is it is characterised in that described step 2 specifically includes:
Set the data data threshold value of abnormal clinical index；
Screen out solvent doctor's advice information；
Standing orders information is split as being dispersed in the individual event doctor's advice information of time shafts；
The clinical abnormal index information repeating only is retained the abnormal index information occurring for the first time；
Retained when the abnormal clinical extracting twice index time interval is longer than 5 days；
The abnormal clinical indication information that patient is just had before medication is set as base-line data, by the identical abnormal clinical after medication
Indication information screens out.
3. method according to claim 1 is it is characterised in that described step 2 also includes: by electronic medical record information
Multiple medicines and multinomial clinical indices extremely split.
4. method according to claim 1 is it is characterised in that described step 4 specifically includes:
Step 41, sets the combination table of medicine the first abnormal clinical indication information effective time window；When discovery case information
Meet described medicine the first abnormal clinical index effective time window combination table when, derive described 3rd emr data base in
Including case, medical diagnosis on disease, medicine, doctor's advice and time, abnormal clinical desired value and time and demography data.
5. method according to claim 1 is it is characterised in that described step 4 specifically includes:
Step 41, sets the combination table of medicine the second abnormal clinical indication information effective time window；From the 3rd emr data base
Selected target medicine and target abnormal clinical indication information, are analyzed to described 3rd emr data base, obtain medicine abnormal
The frequency of occurrence of clinical indices.
6. method according to claim 1 it is characterised in that the data processing algorithm of described data base to include ratio unbalance
Measurement method, Bayesian statistic algorithm, traditional decision-tree, association rule algorithm, genetic algorithm, classification and clustering algorithm.
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Cited By (10)
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| CN107220476A (en) * | 2017-04-06 | 2017-09-29 | 广州慧扬信息系统科技有限公司 | The statistical analysis system of medication effect |
| CN108648792A (en) * | 2018-05-04 | 2018-10-12 | 河北省人民医院 | Medication information management system, method and terminal device |
| CN109008959A (en) * | 2018-06-19 | 2018-12-18 | 厦门大学附属第医院 | Internal Medicine-Oncology chemotherapy side effect intelligent decision system |
| CN109191800A (en) * | 2018-10-25 | 2019-01-11 | 蚁图信息技术（上海）有限公司 | Suitable for hypoglycemia alarming method by monitoring and device after diabetic medicine taking |
| CN109346145A (en) * | 2018-10-16 | 2019-02-15 | 国家食品药品监督管理总局药品评价中心(国家药品不良反应监测中心) | A kind of actively monitoring method and system of adverse drug reaction |
| CN110060430A (en) * | 2019-04-25 | 2019-07-26 | 深圳市第二人民医院 | A kind of drug surveillance and storage device |
| CN110111896A (en) * | 2019-05-20 | 2019-08-09 | 卫宁健康科技集团股份有限公司 | The recognition methods and system of medical-risk |
| CN111681777A (en) * | 2020-06-05 | 2020-09-18 | 河南省药品评价中心 | Early warning method of potential addiction-causing hallucinogenic drugs based on medical history information |
| CN112669991A (en) * | 2020-12-28 | 2021-04-16 | 山东健康医疗大数据有限公司 | Method for detecting adverse drug reaction signals |
| CN113096803A (en) * | 2021-04-06 | 2021-07-09 | 重庆医科大学 | Medication monitoring method and medication monitoring system |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107220476A (en) * | 2017-04-06 | 2017-09-29 | 广州慧扬信息系统科技有限公司 | The statistical analysis system of medication effect |
| CN107220476B (en) * | 2017-04-06 | 2020-08-11 | 广州慧扬健康科技有限公司 | Statistical analysis system for drug treatment effect |
| CN108648792A (en) * | 2018-05-04 | 2018-10-12 | 河北省人民医院 | Medication information management system, method and terminal device |
| CN109008959A (en) * | 2018-06-19 | 2018-12-18 | 厦门大学附属第医院 | Internal Medicine-Oncology chemotherapy side effect intelligent decision system |
| CN109346145B (en) * | 2018-10-16 | 2022-03-11 | 国家食品药品监督管理总局药品评价中心(国家药品不良反应监测中心) | Method and system for actively monitoring adverse drug reactions |
| CN109346145A (en) * | 2018-10-16 | 2019-02-15 | 国家食品药品监督管理总局药品评价中心(国家药品不良反应监测中心) | A kind of actively monitoring method and system of adverse drug reaction |
| CN109191800A (en) * | 2018-10-25 | 2019-01-11 | 蚁图信息技术（上海）有限公司 | Suitable for hypoglycemia alarming method by monitoring and device after diabetic medicine taking |
| CN110060430A (en) * | 2019-04-25 | 2019-07-26 | 深圳市第二人民医院 | A kind of drug surveillance and storage device |
| CN110111896A (en) * | 2019-05-20 | 2019-08-09 | 卫宁健康科技集团股份有限公司 | The recognition methods and system of medical-risk |
| CN111681777A (en) * | 2020-06-05 | 2020-09-18 | 河南省药品评价中心 | Early warning method of potential addiction-causing hallucinogenic drugs based on medical history information |
| CN111681777B (en) * | 2020-06-05 | 2023-12-19 | 河南省药品评价中心 | Early warning method of potential addiction induced magic medicine based on medical history information |
| CN112669991A (en) * | 2020-12-28 | 2021-04-16 | 山东健康医疗大数据有限公司 | Method for detecting adverse drug reaction signals |
| CN113096803A (en) * | 2021-04-06 | 2021-07-09 | 重庆医科大学 | Medication monitoring method and medication monitoring system |
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