CN109741835A - Chronic kidney disease monitoring and managing method, device, equipment and storage medium based on big data - Google Patents
Chronic kidney disease monitoring and managing method, device, equipment and storage medium based on big data Download PDFInfo
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Abstract
The invention discloses a kind of chronic kidney disease monitoring and managing method, device, equipment and storage medium based on big data.This method comprises: obtaining to each body status data to screening object in screening crowd；According to the big data analysis model prestored, the body status data respectively to screening object is analyzed, filters out the object with chronic kidney disease；According to the body status data of the chronic kidney disease staging scale and object that prestore, the corresponding chronic kidney disease of object is determined by stages；By stages according to the body status data of object and the corresponding chronic kidney disease of object, the chronic kidney disease Managed Solution for being directed to object is formulated；Chronic kidney disease Managed Solution is issued to the terminal device of object, and/or chronic kidney disease Managed Solution is issued to the terminal device of medical staff.By the above-mentioned means, solving the technical issues of can not being monitored management to chronic kidney disease each period in the prior art.
Description
Technical field
The present invention relates to big data processing technology field more particularly to a kind of chronic kidney disease monitoring parties based on big data
Method, device, equipment and storage medium.
Background technique
With the improvement of living standards, people are while enjoying life, since operating pressure, daily life system, diet are practised
Also there are various problems in the used influence for waiting various factors, body.Wherein, chronic kidney disease (Chronic kidney disease,
CKD) the problem of, is especially pronounced.
It is shown according to statistical data, China has 1.5 hundred million (account about total population 10.8%) are adult to have different degrees of kidney
Functional lesion phenomenon, wherein about 1.5% Patients with Chronic Renal Disease can develop for End-stage renal disease, i.e., about 2,000,000 it is chronic
Nephrotic can develop as End-stage renal disease.However, in this about 2,000,000 End-stage renal disease patient, mesh according to statistics
Preceding only 450,000 patients receive dialysis treatment, and this only accounts for the End-stage renal disease for receiving dialysis treatment of total population 0.03%
Medical Benefits Fund consumed by patient just accounts for the 3% of current year Medical Benefits Fund total expenditure.If according to current chronic renal
The growth rate of disease, medical expense will be on the rise for the burden pressure of China's Medical Benefits Fund.
It can be to the method that chronic kidney disease each period is monitored management, to realize according to not so it is urgent to provide one kind
Synperiodic monitoring result formulates the management therapeutic scheme for being directed to each period patient, so that reaching reduces Patients with Chronic Renal Disease people
Several growth rate mitigates the burden of Medical Benefits Fund.
Above content is only used to facilitate the understanding of the technical scheme, and is not represented and is recognized that above content is existing skill
Art.
Summary of the invention
The chronic kidney disease monitoring and managing method that the main purpose of the present invention is to provide a kind of based on big data, device, equipment and
Storage medium, it is intended to which solution can not be monitored management to chronic kidney disease each period in the prior art, fundamentally reduce chronic
The technical issues of growth rate and Medical Benefits Fund burden of nephrotic's number.
To achieve the above object, the present invention provides a kind of the chronic kidney disease monitoring and managing method based on big data, the method
The following steps are included:
Chronic kidney disease manages platform and obtains to each body status data to screening object in screening crowd；
According to the big data analysis model prestored, the body status data respectively to screening object is analyzed, is sieved
Select the object with chronic kidney disease；
According to the body status data of the chronic kidney disease staging scale and the object that prestore, determine that the object is corresponding
Chronic kidney disease is by stages；
By stages according to the body status data of the object and the corresponding chronic kidney disease of the object, it formulates for described right
The chronic kidney disease Managed Solution of elephant；
The chronic kidney disease Managed Solution is issued to the terminal device of the object, so that the object is according to described slow
Property nephrosis Managed Solution carry out diagnosis and treatment, and/or the chronic kidney disease Managed Solution is issued to the terminal device of medical staff, with
It is managed the medical staff to the object according to the chronic kidney disease Managed Solution.
Preferably, the body status data and the corresponding chronic kidney disease of the object according to the object by stages, is made
Surely it is directed to the chronic kidney disease Managed Solution of the object, comprising:
By stages according to the corresponding chronic kidney disease of the object, the risk class that the object faces is determined；
According to the body status data of the object and the risk class, the chronic kidney disease pipe for being directed to the object is formulated
Reason scheme.
Preferably, it is described according to the corresponding chronic kidney disease of the object by stages, determine the risk class that the object faces,
Include:
If the corresponding chronic kidney disease of the object is to taste the phase in inflammatory reaction phase or renal function generation by stages, it is determined that the object
The risk class faced is the first risk class；
If the corresponding chronic kidney disease of the object is renal function by stages, in arrow generation, tastes the phase, it is determined that the risk that the object faces
Rank is the second risk class；
If the corresponding chronic kidney disease of the object is the kidney failure phase by stages, it is determined that the risk class that the object faces is
Third risk class；
Wherein, the risk class of second risk class is higher than the risk class of first risk class, and described the
The risk class of three risk classes is higher than the risk class of second risk class and the risk etc. of first risk class
Grade.
Preferably, the big data analysis model that the basis prestores, to the respectively body status data to screening object
It is analyzed, before filtering out the object with chronic kidney disease, the method also includes:
According to the International Classification of Diseases code set and sample data prestored, the big data analysis model is constructed.
Preferably, the International Classification of Diseases code set and sample data that the basis prestores construct the big data point
Analyse model, comprising:
According to preset screening rule, is filtered out from sample data and meet the sample data of the screening rule as punishing
Penalty factor constructs penalty；
Residual sum of squares (RSS) is carried out to the penalty using statistics square tolerance method and minimizes calculating, and in calculating process
In using Sparse rules operator as constraint condition, weed out the residual sum of squares (RSS) greater than the constraint condition, obtain regression model；
According to the International Classification of Diseases code set and sample data prestored, the regression model is trained, is obtained
The big data analysis model.
Preferably, it is described by the chronic kidney disease Managed Solution be issued to the object terminal device and will be described chronic
Nephrosis Managed Solution is issued to after the terminal device of medical staff, the method also includes:
The purchase medicine request for receiving the terminal device triggering of the object, dispenses prescription medicine, the prescription medicine for the object
It is issued by doctor according to the chronic kidney disease Managed Solution for the object；
Wherein, the purchase medicine request of the terminal device triggering for receiving the object, dispenses prescription medicine, packet for the object
It includes:
The purchase medicine request is received, the first identifier information for identifying the object is extracted from the purchase medicine request；
According to the mapping table prestored, searched and the first identifier information pair in the prescription management library pre-established
The prescription information answered, the prescription information includes at least the prescription medicine and identifies the second identifier information of the object, described
Corresponding relationship of the mapping relations between the first identifier information and the second identifier information；
According to the first identifier information, searched and the first identifier information pair in the mood profile library pre-established
The mood profile answered extracts the common prescription of prescription medicine distribution information and the object from the mood profile found
Medicine；
When the prescription medicine and the common prescription medicine matching degree are greater than threshold value, by the prescription medicine and the prescription medicine
Distribution information is sent to medical centre pharmacy, so that the medical centre pharmacy can be according to the prescription medicine distribution information
The object dispenses the prescription medicine.
Preferably, it is described the prescription medicine and the prescription medicine distribution information are sent to medical centre pharmacy before, institute
State method further include:
The means of payment is extracted from purchase medicine request, it is right if the means of payment is to be paid using medical insurance card
The object for initiating the purchase medicine request carries out authentication, determines that the purchase medicine request is effective；
Wherein, the described pair of object for initiating the purchase medicine request carries out authentication, determines the purchase medicine request effectively, packet
It includes:
Obtain the first biological information and the medical insurance card for using the object of the medical insurance card
Identifier；
According to the identifier, holding for the corresponding medical insurance card of the identifier is obtained from social security platform
The second biological information of person；
First biological information is matched with second biological information；
If first biological information and second biometric information matches, it is determined that the purchase medicine request has
Effect.
In addition, to achieve the above object, the present invention also proposes a kind of chronic kidney disease maintenance device based on big data, described
Device includes:
Body status data obtains module, for obtaining to each body status data to screening object in screening crowd；
Chronic kidney disease object screening module, for the big data analysis model that basis prestores, to described respectively to screening object
Body status data analyzed, filter out the object with chronic kidney disease；
Chronic kidney disease determining module by stages, for the body shape according to the chronic kidney disease staging scale and the object prestored
Condition data determine the corresponding chronic kidney disease of the object by stages；
Chronic kidney disease Managed Solution formulates module, for corresponding according to the body status data of the object and the object
Chronic kidney disease by stages, formulate be directed to the object chronic kidney disease Managed Solution；
Chronic kidney disease Managed Solution sending module, for the chronic kidney disease Managed Solution to be issued to the end of the object
End equipment, so that the object carries out diagnosis and treatment according to the chronic kidney disease Managed Solution, and/or by the chronic kidney disease manager
Case is issued to the terminal device of medical staff, so that the medical staff is according to the chronic kidney disease Managed Solution to the object
It is managed
In addition, to achieve the above object, the present invention also proposes a kind of chronic kidney disease monitoring equipment based on big data, described
Equipment include: memory, processor and be stored on the memory and can run on the processor based on big data
Chronic kidney disease supervisory process, the chronic kidney disease supervisory process based on big data be arranged for carrying out it is as described above based on
The step of chronic kidney disease monitoring and managing method of big data.
In addition, to achieve the above object, the present invention also proposes a kind of storage medium, it is stored with and is based on the storage medium
The chronic kidney disease supervisory process of big data is realized such as when the chronic kidney disease supervisory process based on big data is executed by processor
The step of chronic kidney disease monitoring and managing method based on big data described above.
Chronic kidney disease provided by the invention based on big data supervises scheme, by according to the big data analysis constructed in advance
Model analyzes the various physical condition data to screening object, filters out the object with chronic kidney disease, then basis
The body status data of the object and corresponding chronic kidney disease formulate the chronic kidney disease manager specifically for the object by stages
Case can not only make patient according to being suitble to the chronic kidney disease Managed Solution of oneself to treat, while sieve that can be as early as possible
Potential Patients with Chronic Renal Disease is selected, reasonable Managed Solution is given to potential Patients with Chronic Renal Disease in time, hinders as far as possible
Only it, which develops, mitigates the burden of medical insurance fund to reach the growth rate for reducing Patients with Chronic Renal Disease number for chronic kidney disease
Demand.
Detailed description of the invention
Fig. 1 is the chronic kidney disease monitoring equipment based on big data for the hardware running environment that the embodiment of the present invention is related to
Structural schematic diagram；
Fig. 2 is that the present invention is based on the flow diagrams of the chronic kidney disease monitoring and managing method first embodiment of big data；
Fig. 3 is that the present invention is based on the flow diagrams of the chronic kidney disease monitoring and managing method second embodiment of big data；
Fig. 4 is that the present invention is based on the structural block diagrams of the chronic kidney disease maintenance device first embodiment of big data.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that described herein, specific examples are only used to explain the present invention, is not intended to limit the present invention.
Referring to Fig.1, Fig. 1 is the chronic kidney disease based on big data for the hardware running environment that the embodiment of the present invention is related to
Monitoring equipment structural schematic diagram.
As shown in Figure 1, being somebody's turn to do the chronic kidney disease monitoring equipment based on big data may include: processor 1001, such as center
Processor (Central Processing Unit, CPU), communication bus 1002, user interface 1003, network interface 1004 are deposited
Reservoir 1005.Wherein, communication bus 1002 is for realizing the connection communication between these components.User interface 1003 may include
Display screen (Display), input unit such as keyboard (Keyboard), optional user interface 1003 can also include having for standard
Line interface, wireless interface.Network interface 1004 optionally may include standard wireline interface and wireless interface (such as Wireless Fidelity
(WIreless-FIdelity, WI-FI) interface).Memory 1005 can be the random access memory (Random of high speed
Access Memory, RAM) memory, be also possible to stable nonvolatile memory (Non-Volatile Memory,
), such as magnetic disk storage NVM.Memory 1005 optionally can also be the storage device independently of aforementioned processor 1001.
It will be understood by those skilled in the art that structure shown in Fig. 1 is not constituted to the chronic kidney disease based on big data
The restriction of monitoring equipment may include perhaps combining certain components or different components than illustrating more or fewer components
Arrangement.
As shown in Figure 1, as may include operating system, data storage mould in a kind of memory 1005 of storage medium
Block, network communication module, Subscriber Interface Module SIM and the chronic kidney disease supervisory process based on big data.
In chronic kidney disease monitoring equipment based on big data shown in Fig. 1, network interface 1004 is mainly used for and network
Server carries out data communication；User interface 1003 is mainly used for carrying out data interaction with user；The present invention is based on big datas
Processor 1001, memory 1005 in chronic kidney disease monitoring equipment can be set to be set in the chronic kidney disease supervision based on big data
In standby, the chronic kidney disease monitoring equipment based on big data called by processor 1001 stored in memory 1005 based on
The chronic kidney disease supervisory process of big data, and execute the chronic kidney disease monitoring party provided in an embodiment of the present invention based on big data
Method.
The embodiment of the invention provides a kind of chronic kidney disease monitoring and managing method based on big data is this hair referring to Fig. 2, Fig. 2
A kind of flow diagram of bright chronic kidney disease monitoring and managing method first embodiment based on big data.
In the present embodiment, the chronic kidney disease monitoring and managing method based on big data the following steps are included:
Step S10: chronic kidney disease manages platform and obtains to each body status data to screening object in screening crowd.
Specifically, in the present embodiment it is described to screening crowd may is that healthy population, have underlying diseases crowd, in
Etc. risk populations, High risk group, complex disease severe crowd etc..
Further, in the present case the emphasis of screening mainly fall in diabetes, hypertension, hyperuricemia,
Gout, family's medical history have the crowd of kidney trouble and the old man of over-65s.
In addition, screening can be carried out in conjunction with the physical examination report before meeting the object of above-mentioned condition during screening,
Such as routine urinalysis, serum creatinine, microalbumin in physical examination report etc..
In addition, above-mentioned described body status data may include at least one of following:
Blood pressure, blood lipid, blood glucose level data, mental emotion data, lifestyle data, underlying diseases history data, diet happiness
Good data, common drug data etc., will not enumerate herein, any restrictions are not also done to this.
However, it should be understood that above-mentioned acquisition is to each side to the body status data of screening object in screening crowd
Formula may is that chronic kidney disease manages platform and existing electronic Health Management platform, electronic prescription management are put down by pre-establishing
Then the communication connection of platform and each big data platform obtains the body status data for meeting the object of demand from above-mentioned each platform.
It should be noted that the above is only for example, the technical solution to the application does not constitute any restriction, this field
Technical staff can according to need, setting needs to carry out the object of screening, to the body status data of screening object, and sieve
The condition followed during looking into, herein with no restrictions.
Step S20: it according to the big data analysis model prestored, is respectively carried out to the body status data of screening object to described
Analysis, filters out the object with chronic kidney disease.
It should be understood that big data analysis model used in the present embodiment, is before executing step S20 with regard to root
According to the International Classification of Diseases code set and sample data prestored, build.
Specifically, above-mentioned described International Classification of Diseases (international Classification of
Diseases, ICD), specifically according to disease certain features, disease is classified according to rule, and with encode method
Come the system indicated.Thus, the big data analysis model is constructed by ICD code set and sample data, it can be effective
Guarantee big data analysis model accuracy.
In addition, above-mentioned described sample data is the ecological ragime data of different user, specifically can be by major
The hospital information system (Hospital Information System, HIS information system) of hospital, health control platform etc. are deposited
It contains and is obtained in the platform of the body status data of a large number of users.
In addition, in the concrete realization, in order to simplify training process, a series of processing first can be carried out to sample data, than
It is such as based on Shrinkage estimation method, Biased estimator processing is carried out to the sample data, regression model is obtained, then according to the world
Classification of diseases code set and the sample data, are trained the regression model, obtain the big data analysis model.
Specifically, described based on Shrinkage estimation method (Least absolute shrinkage and in the present embodiment
Selection operator, LASSO), Biased estimator processing is carried out to the sample data, obtains regression model, specifically
The model more refined is obtained by constructing a penalty, so that it compresses some coefficients, concurrently sets some systems
Number is zero.Therefore the regression model obtained remains the advantages of sample data is shunk, so that subsequent training obtains big data
The process of analysis model becomes relatively easy.
About building regression model mode, approximately as:
Firstly, filtering out the sample data for meeting the screening rule from sample data according to preset screening rule
As penalty factor, penalty is constructed.
Specifically, in the present embodiment when constructing penalty, not using whole sample datas as penalty factor,
But selectively certain sample datas for meeting screening rule are screened and construct penalty as penalty factor, thus
Enable subsequent obtained regression model to possess better performance parameter, and calculation amount can be reduced.
However, it should be understood that above-mentioned described screening rule can be regulation in Screening Samples data, number is screened
According to the data that feature is representative, specific screening rule, those skilled in the art can according to need setting, herein not
It is limited.
It is a kind of restriction function in addition, being the existing punishment function often said about above-mentioned described penalty.About
The building of the function, those skilled in the art can search related data and voluntarily realize, will only meet in building process
The sample data of screening rule is constructed as penalty factor.
Then, residual error is carried out to the penalty using statistics square tolerance method (Root-Sum-Squares, RSS) to put down
Side and minimum calculate, and using Sparse rules operator as constraint condition in calculating process, weed out greater than the constraint item
The residual sum of squares (RSS) of part can obtain regression model.
It should be noted that Sparse rules operator (Lasso regularization) described in the present embodiment, also referred to as
L1 norm regularization (L1regularization or LASSO).It is important in machine learning (machine learning)
Means, in support vector machines (support vector machine) learning process, really one kind for objective function (i.e.
Above-mentioned penalty) solve optimal process.Therefore, residual sum of squares (RSS) minimum is being carried out to the penalty using RSS
Change during calculating, by by L1 norm regularization constraint condition the most, and the residual sum of squares (RSS) that will be greater than constraint condition is picked
It removes, so that the result that study obtains meets rarefaction, to ensure that the regression model of building is with symbolic characteristic
Model (structure is simple, and shrinkage is good) can be significantly in the case where guaranteeing the big data analysis model accuracy of subsequent training
Simplify training process.
It should be noted that being given above only a kind of concrete implementation mode, not to technical solution of the present invention
It constitutes and limits, in the concrete realization, those skilled in the art, which can according to need, chooses training method to construct big data point
Model is analysed, herein with no restrictions.
Step S30: according to the body status data of the chronic kidney disease staging scale and the object that prestore, it is described right to determine
By stages as corresponding chronic kidney disease.
Specifically, chronic kidney disease allocation criterion described in this example, as shown in table 1:
1 chronic kidney disease aging schedule of table
| By stages | Description | Glomerular filtration rate (GFR) |
| 1 | Renal damage index (+), GFR are normal | >90 |
| 2 | Renal damage index (+), GFR slightly drop | 60~89 |
| 3 | GFR moderate drop | 30~59 |
| 4 | GFR severe drop | 15~29 |
| 5 | Kidney failure | < 15 or dialysis |
By table 1 it can be found that when determining chronic kidney disease by stages, mainly carried according in body status data
GFR (unit are as follows: ml/min1.73m2) come what is divided.
Step S40: by stages according to the body status data of the object and the corresponding chronic kidney disease of the object, needle is formulated
To the chronic kidney disease Managed Solution of the object.
It should be understood that will cause patient face since different chronic kidney diseases is by stages with different body status datas
The risk faced is different, therefore when formulating the chronic kidney disease Managed Solution for being directed to the object, can face in conjunction with the object
Risk class is formulated, specific operation may is that first according to the corresponding chronic kidney disease of the object by stages, determine the object
The risk class faced；Then it according to the body status data of the object and the risk class, formulates and is directed to the object
Chronic kidney disease Managed Solution.
Further, for ease of description, risk class is roughly divided into three-level, specially the first risk in the present embodiment
Rank, the second risk class and third risk class.Also, the risk class of second risk class is higher than first wind
The risk class of the risk class of dangerous rank, the third risk class is higher than risk class and the institute of second risk class
State the risk class of the first risk class.
About, by stages according to the corresponding chronic kidney disease of the object, determine levels of risk that the object faces otherwise,
It is specific as follows:
If the corresponding chronic kidney disease of the object is to taste the phase in inflammatory reaction phase or renal function generation by stages, it is determined that the object
The risk class faced is the first risk class.
It should be noted that the above-mentioned described inflammatory reaction phase is 1 phase of chronic kidney disease (the CKD1 phase), suffer from this stage
The creatinine of person is normal, and renal function is not yet impaired, the clinical indications such as only some Urine proteins, occult blood, oedema, hypertension.In addition to water
Swollen, hypertension can allow patient to occur except significant discomfort sense, and Urine proteins, occult blood etc. are all " soundless ".
That is, this stage is easiest to cure, but many patients miss control in vain because of " do not ache and do not itch "
Treatment opportunity, and the present invention is by the way that according to big data analysis model, this kind of patient screening is come out, and combines the physical condition of patient
Data formulate the chronic kidney disease Managed Solution for being suitable for the patient, to control the deterioration of the state of an illness of this kind of patient in time, help
Their healings as early as possible.
In addition, the above-mentioned described renal function phase of tasting in generation is 2 phase of chronic kidney disease (the CKD2 phase).So-called renal function is compensatory
Phase refers to renal function slightly damaged, and the daily need of body can be met by the compensation of kidney itself.In this single order
Section, serum creatinine are substantially between 133~177 μm of ol/L.About there are also the nephrons of half can work normally, thus patient
What I also feel without.
That is, clinical cure may be implemented in the renal function compensatory phase if obtaining timely, regular treatment.
Thus, for the patient for being in the first risk class, its body shape is being met according to the formulation of its body status data
When the chronic kidney disease Managed Solution of condition, mainly pass through anaemia, nutrition, abnormality of calcium-phosphorus metabolism situation and the thyroid gland to current patents
The stringent monitoring of function, providing reasonable nutrition guide, (such as platform is sought by establishing cooperative relationship with professional nutritionist by profession
Supporting element is that patient's customization meets the recipe of the patient), exercise guidance (provides corresponding exercise program, and monitors the movement of patient
Situation records exercise data), treatment guidance (blood pressure, Avoirdupois monitoring such as institute outside), and by the emphasis for the treatment of hair in sincere trouble
The disease of the protopathy of person and cardiovascular aspect.
Further, if the corresponding chronic kidney disease of the object is renal function by stages, in arrow generation, tastes the phase, it is determined that the object
The risk class faced is the second risk class.
The above-mentioned described renal function arrow phase of tasting in generation is 4 phase of 3 phase of chronic kidney disease and chronic kidney disease (CKD3 phase and the CKD4 phase).
So-called Decompensated stage refers to that impaired renal function is more serious, and the compensation of kidney itself can no longer meet the day of body
Often need.In this stage, serum creatinine is substantially between 178~442 μm of ol/L, and the nephron is impaired to already exceed 2/3rds
It is even more.At this point, patient, which has begun, feels out of strength, but symptom is still unobvious.Therefore, if obtained timely, regular
Treatment, still have half probability realize clinical cure.
Thus, for the patient for being in the second risk class, its body shape is being met according to the formulation of its body status data
When the chronic kidney disease Managed Solution of condition, the chronic kidney disease Managed Solution provided specifically need include rationally perfect drug therapy,
The schemes such as lasting dietary therapy, the various kidney indexs of monitoring, and prepare to build dialyzing access.
Further, if the corresponding chronic kidney disease of the object is the kidney failure phase by stages, it is determined that the object faced
Risk class is third risk class.
The above-mentioned described kidney failure phase is 5 phase of chronic kidney disease (the CKD5 phase).That is, chronic kidney disease has developed into
Uremia, thus the chronic kidney disease Managed Solution provided is mainly based on dialysis treatment and kidney transplant, and is aided with reasonable drink
Food therapy treatment, exercise therapy etc..
It should be noted that being given above only a kind of concrete implementation mode, not to technical solution of the present invention
It constitutes and limits, in the concrete realization, those skilled in the art can according to need setting, herein with no restrictions.
The chronic kidney disease Managed Solution: being issued to the terminal device of the object by step S50, so that the object root
Diagnosis and treatment are carried out according to the chronic kidney disease Managed Solution, and/or the chronic kidney disease Managed Solution is issued to the end of medical staff
End equipment, so that the medical staff is managed the object according to the chronic kidney disease Managed Solution.
Specifically, the terminal device of the terminal device of the object and the medical staff, may each be smart phone,
The mobile devices such as tablet computer, personal computer.
However, it should be understood that patient oneself is after receiving the chronic kidney disease Managed Solution for oneself, it can basis
The chronic kidney disease Managed Solution carries out diagnosis and treatment, for example, the medical treatment interrogation of Qian Qu medical institutions, or according to chronic kidney disease manager
Diet, motion planning in case carry out prophylactic treatment.
It, specifically can be in addition, above-mentioned medical staff is managed the object according to the chronic kidney disease Managed Solution
It is the medical staff by family doctor or community hospital, guidance of visiting, tracking and assessment conditions of patients, if it find that patient goes out
It is now abnormal, changed the place of examination in time to higher level hospital, such as District hospital, Grade A hospital, on have dialysis center.
It should be noted that the above is only for example, restriction is not constituted to technical solution of the present invention, specific real
In existing, those skilled in the art can according to need setting, herein with no restrictions.
By foregoing description it is not difficult to find that the chronic kidney disease monitoring and managing method based on big data provided in the present embodiment, leads to
It crosses according to the big data analysis model constructed in advance, the various physical condition data to screening object is analyzed, are filtered out
Object with chronic kidney disease, it is then by stages special to formulate according to the body status data of the object and corresponding chronic kidney disease
For the chronic kidney disease Managed Solution of the object, it can not only make patient according to being suitble to the chronic kidney disease Managed Solution of oneself to carry out
Treatment, at the same can be as early as possible filter out potential Patients with Chronic Renal Disease, potential Patients with Chronic Renal Disease is given in time
Reasonable Managed Solution, preventing its development as far as possible is chronic kidney disease, to reach the increasing for reducing Patients with Chronic Renal Disease number
Long speed mitigates the demand of the burden of medical insurance fund.
With reference to Fig. 3, Fig. 3 is that a kind of process of the chronic kidney disease monitoring and managing method second embodiment based on big data of the present invention is shown
It is intended to.
In this example, " terminal that the chronic kidney disease Managed Solution is issued to the object is set in former step S50
It is standby, so that the object carries out diagnosis and treatment according to the chronic kidney disease Managed Solution, and/or will be under the chronic kidney disease Managed Solution
It is sent to the terminal device of medical staff, so that the medical staff carries out the object according to the chronic kidney disease Managed Solution
Management ", the content being particularly limited as in step S50'.Other steps are roughly the same, and details are not described herein again, main below to introduce not
Same place:
Based on above-mentioned first embodiment, the present embodiment is based on the chronic kidney disease monitoring and managing method of big data in the step S50'
Later, further includes:
Step S60: the purchase medicine request of the terminal device triggering of the object is received, dispenses prescription medicine for the object.
About " the purchase medicine for receiving the terminal device triggering of the object is requested, and is at the object dispatching in step S60
The operation of recipe " can specifically be realized by following several sub-steps:
(1) the purchase medicine request is received, the first identifier extracted from the purchase medicine request for identifying the object is believed
Breath.
Specifically, in order to realize the supervision to the Patients with Chronic Renal Disease complete period, in practical applications, chronic kidney disease management
Platform can be with prescription shared platform, the hospital information system of various big hospital (Hospital Information System, HIS
Information system), medical centre pharmacy, the various platforms that can be related to patient information such as health control platform establish communication connection, side
Just prescription information is imported into the prescription management library of prescription shared platform by patient or medical staff, thus receiving the purchase
When medicine is requested, chronic kidney disease management platform can get relevant information from each platform communicated to connect with oneself, in mechanism.
It should be understood that in a particular application, above-mentioned described medical centre pharmacy, which can be, provides medicine for each hospital
The chemical supply machine structure of product is also possible to vertex pharmacy or community hospital that relevant departments set up.
In addition, the terminal device of above-mentioned described object can be, arbitrarily can to manage platform, prescription with chronic kidney disease total
The equipment such as smart phone, tablet computer, the personal computer of Platform communication connection are enjoyed, will not enumerate herein, also not to this
Do any restrictions.
Correspondingly, the purchase medicine request of triggering, specifically can be the object (hereinafter referred to as patient) with chronic kidney disease and passes through
Operation is mounted in the application program (Application, APP) for integrating purchase medicine and uploading prescription on above-mentioned terminal device
When the function button of some binding purchase medicine request, from the corresponding monitoring event of the function button, program to chronic kidney disease management
Platform makes purchase medicine request.That is, chronic kidney disease, which manages platform, is receiving asking for the corresponding monitoring event transmission of the function button
When asking, i.e., judgement terminal device triggers purchase medicine request.
In addition, the above-mentioned described first identifier information for being used to identify medicine patient's identity, specifically can be the identity of patient
Card number, card number of medical insurance card etc. will not enumerate herein, and any restrictions are not also done to this.
(2) it according to the mapping table prestored, searches in the prescription management library pre-established and believes with the first identifier
Cease corresponding prescription information.
Specifically, above-mentioned described prescription information includes at least the second of the prescription medicine and the mark patient identity
Identification information.
Also, the prescription medicine is specifically to be issued by doctor according to the chronic kidney disease Managed Solution patient.
In addition, corresponding relationship of the mapping relations between the first identifier information and the second identifier information.
By foregoing description it can be found that being the first identifier information and described the due to being stored in mapping table
Corresponding relationship between two identification informations, thus the mapping table prestored in basis, in the prescription management library pre-established
When searching prescription information corresponding with the first identifier information, searched and described first particular by prescription management library
The second identifier information of identification information match, then using the prescription information comprising the second identifier information as with described first
The corresponding prescription information of identification information.
That is, the second identifier information for including in prescription information be it is corresponding with first identifier information, i.e., if
First identifier information is ID card No., then second identifier information also should include ID card No..However, first identifier is believed
Breath is that patient inputs when initiating purchase medicine request, or when initiating purchase medicine request by terminal device from being pre-filled with
It is obtained in people's information, and second identifier information is then patient when hospital sees a doctor, by medical staff's typing, or for trouble
Typing when person handles health account, will not enumerate herein, and any restrictions are not also done to this.
In addition, above-mentioned described prescription medicine, in particular to must be just adjustable with medical practitioner or licensed assistant doctor's prescription
The drug matched, buy and used.
Further, in order to guarantee that chronic kidney disease manages platform in the terminal device triggering purchase medicine request for receiving user,
Corresponding prescription information can be found from the prescription management library of prescription shared platform for communicating connection, need executing
Before sub-step (2), the prescription information is first added in prescription management library.
About, the mode of the prescription information is added in prescription management library, specific as follows:
Firstly, it is necessary to the prescription that the terminal device of medical staff or the terminal device of the patient upload be received, from described
The prescription information is extracted in prescription.
It should be noted that the prescription received may be electronic prescription, it is also possible to conventional paper due in practical applications
The electronic pictures of matter prescription.Thus, when extracting the prescription information from the prescription, the type according to prescription is needed, is selected
Corresponding extracting mode is taken to extract prescription information, comprising:
If the prescription is electronic prescription, the character in the electronic prescription is traversed, the prescription information is obtained；If institute
The electronic pictures that prescription is papery prescription are stated, then are based on higher order neural network algorithm, the character in the electronic pictures is carried out
Identification judgement, obtains the prescription information.
Specifically, it is being based on higher order neural network algorithm, identification judgement is carried out to the character in the electronic pictures, is obtained
To before the prescription information, in order to guarantee can fast and accurately to extract useful content, and then the prescription letter is obtained
Breath, needs to extract the characteristic information of each character in the electronic pictures first with edge detection method, such as stroke feature information,
It is connected to characteristic information, closed area characteristic information etc., will not enumerate herein, also do not do any restrictions.
It should be understood that when extracting characteristic information, can first adjust the comparison of electronic pictures due to using edge detection method
Degree, because contrast is higher, the feature of extraction is more clear, more accurate.
Thus, it as follows, can effectively guarantee the accuracy of prescription information when obtaining prescription information, in benefit
It with edge detection method, extracts in the electronic pictures after the characteristic information of each character, higher order neural network algorithm is based on, to institute
The character stated in electronic pictures carries out identification judgement, obtains the mode of the prescription information, specific as follows: based on the high-order mind
Through network algorithm, according to the characteristic information of each character and it is the preset weight coefficient of the characteristic information of each character, calculates each character
The corresponding weighted value of characteristic information；The corresponding weighted value of the characteristic information of each character is compared with threshold value, by weighted value
Character greater than the threshold value is exported according to initial order, obtains the prescription information.
It should be noted that above-mentioned threshold value can be set as needed by those skilled in the art, do not limit herein
System.
In addition, the use due to edge detection method is closely more mature, thus about using edge detection method, described in extraction
The characteristic information of each character in electronic pictures, details are not described herein again, and those skilled in the art can be by checking related data
Voluntarily realize.
It only a kind of is taken when adding the prescription information in prescription management library it should be noted that being given above
Mode does not constitute restriction to technical solution of the present invention, and in the concrete realization, those skilled in the art can according to need
Setting, herein with no restrictions.
(3) it according to the first identifier information, searches in the mood profile library pre-established and believes with the first identifier
Cease corresponding mood profile, from extracted in the mood profile found prescription medicine distribution information and the object it is common from
Recipe.
Specifically, the mood profile may include name, ID card No., social security card number or the medical insurance card of patient
Number, telephone number, drug delivery address, the chronic disease title, the common drug that suffer from etc..
Correspondingly, prescription medicine distribution information described in upper theory may include the name of patient, telephone number, drug delivery address
Deng.
It should be noted that having the above is only for example, not constituting any modern times to technical solution of the present invention
During body is realized, those skilled in the art can according to need setting, herein with no restrictions.
(4) when the prescription medicine and the common prescription medicine matching degree are greater than threshold value, by the prescription medicine and the place
Recipe distribution information is sent to medical centre pharmacy, delivers letters so that the medical centre pharmacy can match according to the prescription medicine
Breath dispenses the prescription medicine for the object.
Specifically, above-mentioned threshold value can by conditions of patients and dosage, medication ingredient, replacement drug effect
The Multiple factors such as fruit, price are rationally arranged, for example setting threshold value is greater than 85%, then it is assumed that rationally.
Correspondingly, matched mode can be the ingredient by comparing drug, effect etc. is determined.
In addition, medical centre pharmacy mentioned here, which specifically can be one, is managed association by Drug welfare control agency
The mechanism of tissue is adjusted, so as to realize together with the authority contacts such as insurance institution, pharmaceutical manufacturer, hospital and pharmacy to medical treatment
Effective management of expense reaches and saves social medical insurance expenditure, increases drug benefit, the purpose that control medicine valence increases, so that
Common insurant can preferably enjoy basic medical services.
Due to using drug welfare management, patient can be made directly to buy prescription medicine from pharmaceutical manufacturer, and then can save
Each intermediate links among drug, reduce medicine valence, alleviate burden of patients.
In addition, in practical applications, in order to be further reduced the medical treatment expense of patient, integral system can be set, so that
Purchase medicine patient, which is able to use integral and substitutes for, drug or exchanges red packet for etc., from the point of view of long-range, can achieve and reduces patient's expense
Purpose.
Further, other people steal the medical insurance account of patient in order to prevent, maliciously use the medical insurance base of patient
Golden drug purchase needs first to extract the means of payment from purchase medicine request, determines branch before executing above-mentioned sub-step (4)
Whether the mode of paying is to be paid using medical insurance card, if the means of payment is to be paid using medical insurance card, to initiation institute
The object for stating purchase medicine request carries out authentication, that is, needs to verify and initiate whether the user of the purchase medicine request is the medical insurance
The holder of card, and whether the drug bought is that the holder of medical insurance card needs the drug taken, if it is just determination
Effectively, sub-step (4) can just execute for the purchase medicine request.
About, authentication is carried out to the object for initiating the purchase medicine request, determines the purchase medicine request efficient operation,
It can specifically be achieved by the steps of:
(01) the first biological information for using the object of the medical insurance card and the medical insurance are obtained
The identifier of card.
It should be understood that above-mentioned the first described biological information, can be face characteristic, fingerprint feature information,
Iris feature information, vocal print feature information etc., will not enumerate herein, and any restrictions, the technology of this field are not also done to this
Personnel can according to need the first biological information that setting needs to obtain.
Correspondingly, in the first biological information difference, the equipment of the first biological information of acquisition of selection also can
It is different, for example when the first biological information is face characteristic information, iris feature information, then need to adopt using image
Collect equipment to obtain；When the first biological information is fingerprint feature information, then need to obtain using fingerprint mould group；First
When biological information is vocal print feature information, need to obtain using voice device.
In addition, above-mentioned described medical insurance card, i.e. social medical insurance card, also referred to as medical insurance card.It can be Ji She at present
It protects and medical insurance is in the social security card of one.Correspondingly, above-mentioned identifier is specifically the ID for identifying medical insurance card uniqueness
Or the ID card No. of insured people (Identification) number.
The specific implementation of the first biological information of the user using the medical insurance card is obtained in order to facilitate understanding
Mode is below the first face characteristic information for using the user of the medical insurance card with first biological information,
Second biological information carries out specifically for the second face characteristic information for the holder of the medical insurance card
It is bright.
(02) according to the identifier, the corresponding medical insurance card of the identifier is obtained from social security platform
The second biological information of holder.
Specifically, the holder of above-mentioned described medical insurance card specifically refers to the corresponding practical ginseng of the medical insurance card
Guarantor.Therefore, according to the identifier, holding for the corresponding medical insurance card of the identifier is obtained from social security platform
The second biological information for the person of having, as insured people is when handling medical insurance card, face characteristic, the fingerprint characteristic letter of typing
Breath, iris feature information, vocal print feature information etc..
(03) first biological information is matched with second biological information.
With the first biological information for the first face characteristic information, the second biological information is the second face characteristic letter
For breath, then first face characteristic information and second face characteristic information are subjected to matched tool in the concrete realization
Gymnastics make approximately as:
Firstly, first face characteristic information is matched one by one with second face characteristic information, institute is determined
State the cosine similarity between the first face characteristic information and second face characteristic information.
Then, the cosine similarity is compared with preset similarity threshold.
It should be noted that being given above only a kind of specific manner of comparison, not to technical solution of the present invention
Any restriction is constituted, in the concrete realization, those skilled in the art, which can according to need, chooses suitable manner of comparison, herein
With no restrictions.
(04) if first biological information and second biometric information matches, it is determined that the purchase medicine is asked
Ask effective.
In addition, it is noted that the patient for needing to take the drug of purchase can be related to due in practical applications
Child, old man etc. are not easy to operating terminal equipment and carry out the crowd for purchasing medicine on line, therefore in order to guarantee that this kind of crowd can also enjoy
Purchase medicine, the means of distribution provided in the present embodiment, by second biological information and first biological information
After carrying out Characteristic Contrast, can also include:
If two biological information and first biological information mismatch, it is retrieved as the medical insurance
The third biological information for the guardian that the holder of card reserves；
First biological information and the third biological information are subjected to Characteristic Contrast, if described first is raw
Object characteristic information and the third biometric information matches, it is determined that the purchase medicine request is effective；If first biology is special
Reference breath is mismatched with the third biological information, it is determined that the purchase medicine request is invalid.
It should be noted that having the above is only for example, not constituting any restriction to technical solution of the present invention
During body is realized, those skilled in the art can according to need setting proof rule and mode, herein with no restrictions.
By foregoing description it is not difficult to find that the chronic kidney disease monitoring and managing method based on big data provided in the present embodiment,
The chronic kidney disease Managed Solution is issued to the terminal device of the object and is issued to the chronic kidney disease Managed Solution
After the terminal device of medical staff, if the purchase medicine request of the terminal device triggering of the object is received, by from the purchase
The first identifier information for identifying the object is extracted in medicine request, according to the mapping table prestored at the place pre-established
Square tube, which is managed, searches corresponding with first identifier information prescription information in library, and search in the mood profile library pre-established and
The corresponding mood profile of first identifier information, so that medical centre pharmacy can be according to the prescription medicine in mood profile
Distribution information dispenses the prescription medicine issued in prescription information for the object, so that the object, which is in, can take oneself
The prescription medicine needed takes medicine without being lined up in person in hospital, be effectively relieved the flow of the people of hospital and spending in take on medicine when
Between.
In addition, the chronic kidney disease monitoring and managing method provided by the invention based on big data, will be directed to current purchase medicine request
Prescription information and prescription medicine distribution information are sent to before medical centre pharmacy, by by prescription information prescription medicine and patient
Common prescription medicine be compared, be greater than preset threshold value in the matching degree of the prescription medicine that currently needs to buy and common prescription medicine
When, just notify that medical centre pharmacy is the dispatching of patient schedule's prescription medicine, to effectively avoid the mistake due to medical staff
Accidentally, lead to the occurrence of issuing improper prescription medicine to patient, allow the patient to preferably enjoy primary care.
In addition, the embodiment of the present invention also proposes a kind of storage medium, it is stored on the storage medium based on big data
Chronic kidney disease supervisory process is realized as described above when the chronic kidney disease supervisory process based on big data is executed by processor
The chronic kidney disease monitoring and managing method based on big data the step of.
It is that the present invention is based on the structural block diagrams of the chronic kidney disease maintenance device first embodiment of big data referring to Fig. 4, Fig. 4.
As shown in figure 4, the chronic kidney disease maintenance device based on big data that the embodiment of the present invention proposes includes: physical condition
Data acquisition module 4001, chronic kidney disease object screening module 4002, chronic kidney disease determining module 4003, chronic kidney disease pipe by stages
Manage solution formulation module 4004 and chronic kidney disease Managed Solution sending module 4005.
Wherein, body status data obtains module 4001, for obtaining to each body to screening object in screening crowd
Status data.
Chronic kidney disease object screening module 4002, for the big data analysis model that basis prestores, to described respectively to screening
The body status data of object is analyzed, and the object with chronic kidney disease is filtered out.
Chronic kidney disease determining module 4003 by stages, for the body according to the chronic kidney disease staging scale and the object prestored
Body status data determines the corresponding chronic kidney disease of the object by stages.
Chronic kidney disease Managed Solution formulates module 4004, for the body status data and the object according to the object
Corresponding chronic kidney disease by stages, formulates the chronic kidney disease Managed Solution for being directed to the object.
It should be understood that will cause patient face since different chronic kidney diseases is by stages with different body status datas
The risk faced is different, therefore when formulating the chronic kidney disease Managed Solution for being directed to the object, can face in conjunction with the object
Risk class is formulated, specific operation may is that first according to the corresponding chronic kidney disease of the object by stages, determine the object
The risk class faced；Then it according to the body status data of the object and the risk class, formulates and is directed to the object
Chronic kidney disease Managed Solution.
Further, for ease of description, risk class is roughly divided into three-level in the present embodiment, specific:
If the corresponding chronic kidney disease of the object is to taste the phase in inflammatory reaction phase or renal function generation by stages, it is determined that the object
The risk class faced is the first risk class.
If the corresponding chronic kidney disease of the object is renal function by stages, in arrow generation, tastes the phase, it is determined that the risk that the object faces
Rank is the second risk class.
If the corresponding chronic kidney disease of the object is the kidney failure phase by stages, it is determined that the risk class that the object faces is
Third risk class.
Also, the risk class of second risk class is higher than the risk class of first risk class, and described the
The risk class of three risk classes is higher than the risk class of second risk class and the risk etc. of first risk class
Grade.
It should be noted that being given above only a kind of concrete implementation mode, not to technical solution of the present invention
It constitutes and limits, in the concrete realization, those skilled in the art can according to need the suitable reference conditions of setting, not do herein
Limitation.
Chronic kidney disease Managed Solution sending module 4005, for the chronic kidney disease Managed Solution to be issued to the object
Terminal device so that the object carries out diagnosis and treatment according to the chronic kidney disease Managed Solution, and/or by the chronic kidney disease pipe
Reason scheme is issued to the terminal device of medical staff, so that the medical staff is according to the chronic kidney disease Managed Solution to described
Object is managed.
In addition, it is noted that in practical applications, in order to guarantee that chronic kidney disease object screening module 4002 being capable of root
According to the big data analysis model prestored, the body status data respectively to screening object is analyzed, is filtered out with slow
The object of property nephrosis, needs to construct the big data analysis model in advance.Thus, provided in the present embodiment based on big data
Chronic kidney disease maintenance device can also include: big data analysis model construction module.
Specifically, the big data analysis model construction module, for according to the International Classification of Diseases code set prestored
And sample data, construct the big data analysis model.
Further, in order to sketch training process, a series of processing first can be carried out to sample data, such as based on compression
The estimation technique carries out Biased estimator processing to the sample data, obtains regression model, then compiled according to the International Classification of Diseases
Code collection is closed and the sample data, is trained to the regression model, obtains the big data analysis model.
It should be noted that being given above only a kind of concrete implementation mode, not to technical solution of the present invention
It constitutes and limits, in the concrete realization, those skilled in the art, which can according to need, chooses training method to construct big data point
Model is analysed, herein with no restrictions.
By foregoing description it is not difficult to find that the chronic kidney disease maintenance device based on big data provided in the present embodiment, leads to
It crosses according to the big data analysis model constructed in advance, the various physical condition data to screening object is analyzed, are filtered out
Object with chronic kidney disease, it is then by stages special to formulate according to the body status data of the object and corresponding chronic kidney disease
For the chronic kidney disease Managed Solution of the object, it can not only make patient according to being suitble to the chronic kidney disease Managed Solution of oneself to carry out
Treatment, at the same can be as early as possible filter out potential Patients with Chronic Renal Disease, potential Patients with Chronic Renal Disease is given in time
Reasonable Managed Solution, preventing its development as far as possible is chronic kidney disease, to reach the increasing for reducing Patients with Chronic Renal Disease number
Long speed mitigates the demand of the burden of medical insurance fund.
It should be noted that workflow described above is only schematical, not to protection model of the invention
Enclose composition limit, in practical applications, those skilled in the art can select according to the actual needs part therein or
It all achieves the purpose of the solution of this embodiment, herein with no restrictions.
In addition, the not technical detail of detailed description in the present embodiment, reference can be made to provided by any embodiment of the invention
Chronic kidney disease monitoring and managing method based on big data, details are not described herein again.
Based on the first embodiment of the above-mentioned chronic kidney disease maintenance device based on big data, propose that the present invention is based on big datas
Chronic kidney disease maintenance device second embodiment.
Due in the concrete realization, in the terminal device that the chronic kidney disease Managed Solution is issued to the object and inciting somebody to action
The chronic kidney disease Managed Solution is issued to after the terminal device of medical staff, can also receive the terminal device of the object
The purchase medicine of triggering is requested, and dispenses prescription medicine for the object.Therefore, in the present embodiment, the chronic renal based on big data
Sick maintenance device further include the first extraction module, prescription information searching module, mood profile's searching module, the second extraction module and
Distribution information issues module.
Wherein, the first extraction module is extracted from purchase medicine request for identifying for receiving the purchase medicine request
State the first identifier information of object.
Prescription information searching module, for being looked into the prescription management library pre-established according to the mapping table prestored
Look for prescription information corresponding with the first identifier information.
It should be noted that the prescription information includes at least the prescription medicine and identifies the second identifier letter of the object
Breath.
In addition, above-mentioned described prescription medicine is specifically to be opened by doctor according to the chronic kidney disease Managed Solution for the object
Tool.
In addition, corresponding relationship of the mapping relations between the first identifier information and the second identifier information.
Mood profile's searching module, for being looked into the mood profile library pre-established according to the first identifier information
Look for mood profile corresponding with the first identifier information.
Second extraction module, for extracting prescription medicine distribution information and the object from the mood profile found
Common prescription medicine.
Distribution information issues module, is used for when the prescription medicine and the common prescription medicine matching degree are greater than threshold value, will
The prescription medicine and the prescription medicine distribution information are sent to medical centre pharmacy, so that the medical centre pharmacy being capable of basis
The prescription medicine distribution information dispenses the prescription medicine for the object.
In addition, in the concrete realization, the prescription medicine and the prescription medicine distribution information are being sent to medical centre medicine
Before room, the means of payment can also be extracted from purchase medicine request, if the means of payment is to be paid using medical insurance card,
Authentication then is carried out to the object for initiating the purchase medicine request, and when determining that the purchase medicine request is effective, just notice dispatching
Information issues module and issues related distribution information.
Thus, the chronic kidney disease maintenance device based on big data provided in the present embodiment can also include authentication mould
Block.Authentication is carried out to the object by the authentication module, determines that the purchase medicine request is effective.
Specifically, authentication module is main logical when carrying out authentication to the object for initiating the purchase medicine request
It is effective to cross the purchase medicine request as described in determining under type:
Firstly, obtaining the first biological information for using the object of the medical insurance card and the medical insurance
The identifier of card.
Then, according to the identifier, the corresponding medical insurance card of the identifier is obtained from social security platform
Holder the second biological information.
Then, first biological information is matched with second biological information.
Finally, if first biological information and second biometric information matches, it is determined that the purchase medicine
Request is effective.
It should be noted that being given above only a kind of concrete implementation mode, not to technical solution of the present invention
Any restriction is constituted, in the concrete realization, those skilled in the art can according to need setting, herein with no restrictions.
By foregoing description it is not difficult to find that the chronic kidney disease maintenance device based on big data provided in the present embodiment,
The chronic kidney disease Managed Solution is issued to the terminal device of the object and is issued to the chronic kidney disease Managed Solution
After the terminal device of medical staff, if the purchase medicine request of the terminal device triggering of the object is received, by from the purchase
The first identifier information for identifying the object is extracted in medicine request, according to the mapping table prestored at the place pre-established
Square tube, which is managed, searches corresponding with first identifier information prescription information in library, and search in the mood profile library pre-established and
The corresponding mood profile of first identifier information, so that medical centre pharmacy can be according to the prescription medicine in mood profile
Distribution information dispenses the prescription medicine issued in prescription information for the object, so that the object, which is in, can take oneself
The prescription medicine needed takes medicine without being lined up in person in hospital, be effectively relieved the flow of the people of hospital and spending in take on medicine when
Between.
In addition, the chronic kidney disease maintenance device provided by the invention based on big data, will be directed to current purchase medicine request
Prescription information and prescription medicine distribution information are sent to before medical centre pharmacy, by by prescription information prescription medicine and patient
Common prescription medicine be compared, be greater than preset threshold value in the matching degree of the prescription medicine that currently needs to buy and common prescription medicine
When, just notify that medical centre pharmacy is the dispatching of patient schedule's prescription medicine, to effectively avoid the mistake due to medical staff
Accidentally, lead to the occurrence of issuing improper prescription medicine to patient, allow the patient to preferably enjoy primary care.
It should be noted that workflow described above is only schematical, not to protection model of the invention
Enclose composition limit, in practical applications, those skilled in the art can select according to the actual needs part therein or
It all achieves the purpose of the solution of this embodiment, herein with no restrictions.
In addition, the not technical detail of detailed description in the present embodiment, reference can be made to provided by any embodiment of the invention
Chronic kidney disease monitoring and managing method based on big data, details are not described herein again.
In addition, it should be noted that, herein, the terms "include", "comprise" or its any other variant are intended to contain
Lid non-exclusive inclusion, so that process, method, article or system including a series of elements are not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or system
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or system including the element.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as read-only memory (Read Only Memory, ROM)/RAM, magnetic disk, CD), including some instructions are used so that one
Terminal device (can be mobile phone, computer, server or the network equipment etc.) executes side described in each embodiment of the present invention
Method.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of chronic kidney disease monitoring and managing method based on big data, which is characterized in that the described method includes:
It obtains to each body status data to screening object in screening crowd；
According to the big data analysis model prestored, the body status data respectively to screening object is analyzed, is filtered out
Object with chronic kidney disease；
According to the body status data of the chronic kidney disease staging scale and the object that prestore, determine that the object is corresponding chronic
Nephrosis is by stages；
By stages according to the body status data of the object and the corresponding chronic kidney disease of the object, it formulates for the object
Chronic kidney disease Managed Solution；
The chronic kidney disease Managed Solution is issued to the terminal device of the object, so that the object is according to the chronic renal
Sick Managed Solution carries out diagnosis and treatment, and/or the chronic kidney disease Managed Solution is issued to the terminal device of medical staff, so that institute
Medical staff is stated to be managed the object according to the chronic kidney disease Managed Solution.
2. the method as described in claim 1, which is characterized in that the body status data according to the object and described right
By stages as corresponding chronic kidney disease, the chronic kidney disease Managed Solution for being directed to the object is formulated, comprising:
By stages according to the corresponding chronic kidney disease of the object, the risk class that the object faces is determined；
According to the body status data of the object and the risk class, the chronic kidney disease manager for being directed to the object is formulated
Case.
3. method according to claim 2, which is characterized in that it is described according to the corresponding chronic kidney disease of the object by stages, really
The risk class that the fixed object faces, comprising:
If the corresponding chronic kidney disease of the object is to taste the phase in inflammatory reaction phase or renal function generation by stages, it is determined that the object faces
Risk class be the first risk class；
If the corresponding chronic kidney disease of the object is renal function by stages, in arrow generation, tastes the phase, it is determined that the risk class that the object faces
For the second risk class；
If the corresponding chronic kidney disease of the object is the kidney failure phase by stages, it is determined that the risk class that the object faces is third
Risk class；
Wherein, the risk class of second risk class is higher than the risk class of first risk class, the third wind
The risk class of dangerous rank is higher than the risk class of second risk class and the risk class of first risk class.
4. method as described in any one of claims 1 to 3, which is characterized in that the big data analysis model that the basis prestores,
The body status data respectively to screening object is analyzed, before filtering out the object with chronic kidney disease, the side
Method further include:
According to the International Classification of Diseases code set and sample data prestored, the big data analysis model is constructed.
5. method as claimed in claim 4, which is characterized in that the International Classification of Diseases code set and sample that the basis prestores
Notebook data constructs the big data analysis model, comprising:
According to preset screening rule, filtered out from sample data meet the sample data of the screening rule as punishment because
Son constructs penalty；
Using statistics square tolerance method to the penalty carry out residual sum of squares (RSS) minimize calculate, and in calculating process with
Sparse rules operator weeds out the residual sum of squares (RSS) greater than the constraint condition, obtains regression model as constraint condition；
According to the International Classification of Diseases code set and sample data prestored, the regression model is trained, is obtained described
Big data analysis model.
6. method as described in any one of claims 1 to 3, which is characterized in that it is described will be under the chronic kidney disease Managed Solution
After being sent to the terminal device of the object and the chronic kidney disease Managed Solution being issued to the terminal device of medical staff, institute
State method further include:
The purchase medicine request for receiving the terminal device triggering of the object, dispenses prescription medicine for the object, the prescription medicine is by curing
Taking root according to the chronic kidney disease Managed Solution is that the object is issued；
Wherein, the purchase medicine request of the terminal device triggering for receiving the object, dispenses prescription medicine for the object, comprising:
The purchase medicine request is received, the first identifier information for identifying the object is extracted from the purchase medicine request；
According to the mapping table prestored, searched in the prescription management library pre-established corresponding with the first identifier information
Prescription information, the prescription information include at least the prescription medicine and identify the second identifier information of the object, the mapping
Corresponding relationship of the relationship between the first identifier information and the second identifier information；
According to the first identifier information, searched in the mood profile library pre-established corresponding with the first identifier information
Mood profile extracts the common prescription medicine of prescription medicine distribution information and the object from the mood profile found；
When the prescription medicine and the common prescription medicine matching degree are greater than threshold value, the prescription medicine and the prescription medicine are dispensed
Information is sent to medical centre pharmacy, so that the medical centre pharmacy can be described according to the prescription medicine distribution information
Object dispenses the prescription medicine.
7. method as claimed in claim 6, which is characterized in that described to send out the prescription medicine and the prescription medicine distribution information
It send to before medical centre pharmacy, the method also includes:
The means of payment is extracted from purchase medicine request, if the means of payment is to pay using medical insurance card, to initiation
The object of the purchase medicine request carries out authentication, determines that the purchase medicine request is effective；
Wherein, the described pair of object for initiating the purchase medicine request carries out authentication, determines that the purchase medicine request is effective, comprising:
Obtain the identification of the first biological information and the medical insurance card of the object using the medical insurance card
Number；
According to the identifier, obtain the holder's of the corresponding medical insurance card of the identifier from social security platform
Second biological information；
First biological information is matched with second biological information；
If first biological information and second biometric information matches, it is determined that the purchase medicine request is effective.
8. a kind of chronic kidney disease maintenance device based on big data, which is characterized in that described device includes:
Body status data obtains module, for obtaining to each body status data to screening object in screening crowd；
Chronic kidney disease object screening module, for the big data analysis model that basis prestores, to the respectively body to screening object
Body status data is analyzed, and the object with chronic kidney disease is filtered out；
Chronic kidney disease determining module by stages, for the physical condition number according to the chronic kidney disease staging scale and the object prestored
According to determining the corresponding chronic kidney disease of the object by stages；
Chronic kidney disease Managed Solution formulates module, for corresponding slow according to the body status data of the object and the object
Property nephrosis by stages, formulate be directed to the object chronic kidney disease Managed Solution；
Chronic kidney disease Managed Solution sending module, the terminal for the chronic kidney disease Managed Solution to be issued to the object are set
It is standby, so that the object carries out diagnosis and treatment according to the chronic kidney disease Managed Solution, and/or will be under the chronic kidney disease Managed Solution
It is sent to the terminal device of medical staff, so that the medical staff carries out the object according to the chronic kidney disease Managed Solution
Management.
9. a kind of chronic kidney disease monitoring equipment based on big data, which is characterized in that the equipment includes: memory, processor
And the chronic kidney disease supervisory process based on big data that is stored on the memory and can run on the processor, it is described
Chronic kidney disease supervisory process based on big data be arranged for carrying out as described in any one of claims 1 to 7 based on big data
Chronic kidney disease monitoring and managing method the step of.
10. a kind of storage medium, which is characterized in that be stored with the chronic kidney disease supervision journey based on big data on the storage medium
Sequence is realized as described in any one of claim 1 to 7 when the chronic kidney disease supervisory process based on big data is executed by processor
The chronic kidney disease monitoring and managing method based on big data the step of.
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| CN109741835B (en) | 2024-05-03 |
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