CN108091373A - Medical data processing method and processing device - Google Patents
Medical data processing method and processing device Download PDFInfo
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- CN108091373A CN108091373A CN201611028668.2A CN201611028668A CN108091373A CN 108091373 A CN108091373 A CN 108091373A CN 201611028668 A CN201611028668 A CN 201611028668A CN 108091373 A CN108091373 A CN 108091373A
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Abstract
The disclosure is directed to a kind of medical data processing method and processing device, this method includes creating an alarm rule, and the alarm rule includes and the relevant trigger condition of blood glucose level data；Obtain the current blood glucose data of patient and the identity of patient；Judge whether the blood glucose level data meets the trigger condition；When judging that the blood glucose level data meets the trigger condition, the alarm rule is triggered；After the alarm rule is triggered, according to the medical content associated by corresponding label under the identity of the patient, corresponding intervention stratege is generated.This method can remind control of the diabetic to blood glucose level data in time.
Description
Technical field
This disclosure relates to medical big data technical field, in particular to a kind of medical data processing method and one
Kind medical data processing unit.
Background technology
Chronic disease becomes one of China maximum patient groups at present, is counted and shown according to medical data, diabetic is
Through the high point for breaching 100,000,000 populations.Since long-term diabetes can cause a series of complication that can even life be brought to endanger
Danger, therefore patient how to be helped effectively to control blood glucose fluctuation outside institute and according to the blood glucose fluctuation Prior Control state of an illness, become
The main tasks for the treatment of diabetes.
In normal circumstances, whether Most patients can not clearly judge current blood glucose numerical value to oneself outside institute
Body have large effect, can only rely on some classical symptoms can for example include it is dizzy, sweat, weakness of limbs and from head to foot
Itch etc. decides whether to see a doctor.But after above-mentioned symptom appearance, often the state of an illness has deteriorated, and not only misses most
Good therapic opportunity can not be more accomplished that, according to the carry out Prior Control of blood glucose level data before sb.'s illness took a turn for the worse.
It should be noted that information is only used for strengthening the reason to the background of the disclosure disclosed in above-mentioned background section
Solution, therefore can include not forming the information to the prior art known to persons of ordinary skill in the art.
The content of the invention
The disclosure is designed to provide a kind of medical data processing method and a kind of medical data processing unit, and then
One or more is overcome the problems, such as caused by the limitation of correlation technique and defect at least to a certain extent.
According to one aspect of the disclosure, a kind of medical data processing method is provided, including：
An alarm rule is created, the alarm rule includes and the relevant trigger condition of blood glucose level data；
Obtain the current blood glucose data of patient and the identity of patient；
Judge whether the blood glucose level data meets the trigger condition；
When judging that the blood glucose level data meets the trigger condition, the alarm rule is triggered；
After the alarm rule is triggered, according to the medical treatment associated by corresponding label under the identity of the patient
Content generates corresponding intervention stratege.
In a kind of exemplary embodiment of the disclosure, the method further includes：
By the current blood glucose data by the way that the identity in the identity and medical system of the patient is mapped
Mode and the medical system in historical glucose data carry out fusion treatment；
According to the blood glucose level data after fusion treatment, the medical content associated by the label is updated.
In a kind of exemplary embodiment of the disclosure, generating corresponding intervention stratege includes：
Medical content associated by corresponding label under the identity of the patient is configured to a default intervention stratege
To generate the intervention stratege in template；And
The mark of the intervention stratege and the alarm rule are associated, and the intervention stratege is filled into one in advance
If in display area.
In a kind of exemplary embodiment of the disclosure, the method further includes：
According to the blood glucose level data after fusion treatment, the incidence relation between patient behavior and blood glucose level data variation is established；
The blood glucose level data variation tendency is predicted according to the incidence relation and is generated according to the variation tendency corresponding
Intervention stratege in advance.
In a kind of exemplary embodiment of the disclosure, the label includes demography label, disease label and society
Learn the one or more in label；The intervention stratege is included in diet intervention, movement intervention, medication intervention and guidance of seeing a doctor
One or more.
According to one aspect of the disclosure, a kind of medical data processing unit is provided, including：
Alarm rule creation module：For creating an alarm rule, the alarm rule includes relevant with blood glucose level data
One trigger condition；
Data acquisition module：For obtaining the current blood glucose data of patient and the identity of patient；
Trigger condition judgment module：For judging whether the blood glucose level data meets the trigger condition；
Alarm rule trigger module：For when judging that the blood glucose level data meets the trigger condition, triggering the report
Police regulations are then；
Intervention stratege generation module：For after the alarm rule is triggered, according under the identity of the patient
Medical content associated by corresponding label generates corresponding intervention stratege.
In a kind of exemplary embodiment of the disclosure, described device further includes：
Fusion treatment module：For by the current blood glucose data by by the identity of the patient and medical system
The mode of interior identity mapping carries out fusion treatment with the historical glucose data in the medical system；
Medical content update module：For according to the blood glucose level data after fusion treatment, updating the doctor associated by the label
Treat content.
In a kind of exemplary embodiment of the disclosure, generating corresponding intervention stratege includes：
Medical content associated by corresponding label under the identity of the patient is configured to a default intervention stratege
To generate the intervention stratege in template；And
The mark of the intervention stratege and the alarm rule are associated, and the intervention stratege is filled into one in advance
If in display area.
In a kind of exemplary embodiment of the disclosure, described device further includes：
Module is established in association contact：For according to the blood glucose level data after fusion treatment, establishing patient behavior and blood glucose level data
Incidence relation between variation；
Intervention stratege generation module in advance：For predicting the blood glucose level data variation tendency and root according to the incidence relation
Shift to an earlier date intervention stratege accordingly according to variation tendency generation.
In a kind of exemplary embodiment of the disclosure, the label includes demography label, disease label and society
Learn the one or more in label；The intervention stratege is included in diet intervention, movement intervention, medication intervention and guidance of seeing a doctor
One or more.
A kind of medical data processing method and processing device of the disclosure, this method is by creating an alarm rule, when working as patient
After preceding blood glucose level data reaches trigger condition, alarm rule is triggered and according to associated by corresponding label under the identity of patient
Medical content generates corresponding intervention stratege；On the one hand, by setting trigger condition of alarming, when the blood glucose level data of patient reaches report
During alert trigger condition, alarm rule is triggered, patient can timely be reminded to carry out glycemic control, and then patient is reminded timely to control
The state of an illness processed reduces the probability further deteriorated of conditions of patients；On the other hand, according to corresponding mark under the identity of patient
It signs associated medical content and generates corresponding intervention stratege, patient can make according to intervention stratege and timely adjust, such as close
In how diet, how to move, how medication and whether need see a doctor etc.；Further, for the specific of patient itself
Situation formulates the intervention stratege for meeting conditions of patients, improves the accuracy and reliability of scheme.
Another medical data processing method and processing device of the disclosure changes it by establishing patient behavior with blood glucose level data
Between incidence relation come predict blood glucose level data variation tendency and generate accordingly in advance intervention stratege, can before sb.'s illness took a turn for the worse,
By shifting to an earlier date intervention stratege, the blood glucose of patient is controlled, and then the state of an illness of patient is controlled, reduces conditions of patients
The risk of deterioration.
It should be appreciated that above general description and following detailed description are only exemplary and explanatory, not
The disclosure can be limited.
Description of the drawings
Attached drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the disclosure
Example, and for explaining the principle of the disclosure together with specification.It should be evident that the accompanying drawings in the following description is only the disclosure
Some embodiments, for those of ordinary skill in the art, without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 schematically shows a kind of flow chart of medical data processing method.
Fig. 2 schematically shows the method flow diagram of generation intervention stratege.
Fig. 3 a schematically show the generation Prototype drawing of intervention stratege.
Fig. 3 b schematically show the exemplary plot of intervention stratege.
Fig. 4 schematically shows the flow chart of another medical data processing method.
Fig. 5 a schematically show the exemplary plot of tag update.
Fig. 5 b schematically show the newer exemplary plot of medical content associated by label.
Fig. 6 schematically shows a kind of block diagram of medical data processing unit.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be with a variety of shapes
Formula is implemented, and is not understood as limited to example set forth herein；On the contrary, these embodiments are provided so that the disclosure will more
Fully and completely, and by the design of example embodiment comprehensively it is communicated to those skilled in the art.Described feature, knot
Structure or characteristic can be in any suitable manner incorporated in one or more embodiments.In the following description, provide perhaps
More details fully understand embodiment of the present disclosure so as to provide.It it will be appreciated, however, by one skilled in the art that can
One or more in the specific detail are omitted with technical solution of the disclosure or others side may be employed
Method, constituent element, device, step etc..In other cases, be not shown in detail or describe known solution to avoid a presumptuous guest usurps the role of the host and
So that all aspects of this disclosure thicken.
In addition, attached drawing is only the schematic illustrations of the disclosure, it is not necessarily drawn to scale.Identical attached drawing mark in figure
Note represents same or similar part, thus will omit repetition thereof.Attached some block diagrams shown in figure are work(
Can entity, not necessarily must be corresponding with physically or logically independent entity.Software form may be employed to realize these work(
Entity or these functional entitys can be realized in one or more hardware modules or integrated circuit or at heterogeneous networks and/or place
These functional entitys are realized in reason device device and/or microcontroller device.
A kind of medical data processing method is provided firstly in this example embodiment.With reference to shown in figure 1, the medical treatment
Data processing method may comprise steps of：
S110. an alarm rule is created, the alarm rule includes and the relevant trigger condition of blood glucose level data；
S120. the current blood glucose data of patient and the identity of patient are obtained；
S130. judge whether the blood glucose level data meets the trigger condition；
S140. when judging that the blood glucose level data meets the trigger condition, the alarm rule is triggered；
S150. after the alarm rule is triggered, according to associated by corresponding label under the identity of the patient
Medical content, generate corresponding intervention stratege.
In above-mentioned medical data processing method, on the one hand, by setting trigger condition of alarming, when the blood glucose level data of patient reaches
During to alarm trigger condition, alarm rule is triggered, patient can timely be reminded to carry out glycemic control, and then reminds patient timely
Symptom management, reduce the probability further deteriorated of conditions of patients；On the other hand, according to corresponding under the identity of patient
The associated medical content of label generate corresponding intervention stratege, patient can make according to intervention stratege and timely adjust, example
Such as on how to diet, how to move, how medication and whether need see a doctor；Further, for patient's itself
Concrete condition formulates the intervention stratege for meeting conditions of patients, improves the accuracy and reliability of scheme.
In the following, each step of above-mentioned medical data processing method in this example embodiment will be described in detail.
In step s 110, an alarm rule is created, the alarm rule includes relevant with blood glucose level data one triggering item
Part.
In this example embodiment, above-mentioned trigger condition can for example include blood-sugar content or empty stomach in a period of time
Higher number of blood glucose amount etc.；Above-mentioned alarm rule for example can be using JSON (JavaScript Object
Notation, scripting object representation) a whole set of rule language system for building, the expression element of above-mentioned alarm rule is for example
It can be as shown in table 1 below；The operator of above-mentioned alarm rule for example can be as shown in table 2 below；
Table 1
Table 2
For example, the logical expression of above-mentioned alarm rule can include [op, arg1, arg2 ... argn]；Wherein,
Op represents operator, arg1, arg2 ..., and argn represents operand, and the value of n is related to specific op operators；It is in addition, above-mentioned
The logical expression of alarm rule can also include time [start, len]；Wherein, time is time variable, when start starts
Between, len is the duration, and the computation rule of time [start, len] for example can be that day starts to retrodict forward start days from now on
As the time started, then lasting len times, wherein, start>=len.
Such as alarm rule was configured in one week, 7.0mmol/l ＜=several ＞=3 of fasting blood-glucose ＜ 16.7mmol/l times
It is secondary；Then corresponding configuration code can for example include：
{"name":" nearest 7 days empty stomach high blood glucoses number is more than 3 alarms ", " condition ":["and",["
and",[">",["countdays",{"field":" patient_group.inplan_time " }], 0], ["=", [" % ",
["countdays",{"field":"patient_group.inplan_time"}],7],0]],[">=", [" sum ", ["
and",["<",{"field":"patient_act_record.1.[1].time[7,7].data.content.bldsugar_
value"},16.7],[">=", { " field ":"patient_act_record.1.[1].time[7,7]
.data.content.bldsugar_value"},7]]],3]],"send":{"content":[{"c_id":"60005","
c_type":6}]},"target":" patient ", " way ":"app","return":0}
In addition, in other exemplary embodiments of the disclosure, it can also be fixed in other way according to actual conditions
Adopted trigger condition creates alarm rule, and particular determination is not done to this in the present exemplary embodiment.
In the step s 120, the current blood glucose data of patient and the identity of patient are obtained.
In this example embodiment, above-mentioned current blood glucose data can (such as can be for example refined by smart machine
Train wink sense blood glucose meter etc.) 24 it is small when carry out painless acquisition to patient, after the current blood glucose data for having gathered patient, by the data
Server-side is sent to carry out other steps；Above-mentioned identity for example can be the identification card number of patient, hospital to patient
Number, the officer's identity card number of patient or motor vehicle driving license number etc..In addition, in other exemplary embodiments of the disclosure,
It can also be according to the current blood glucose of actual conditions (such as finger tip blood etc. of acquisition patient) acquisition patient in other way
Data can be identified the information of the identity of patient mark action using other, right in the present exemplary embodiment
This does not do particular determination.
In step s 130, judge whether the blood glucose level data meets the trigger condition；In step S140, judging
When the blood glucose level data meets the trigger condition, the alarm rule is triggered.
For example, after the current blood glucose data of patient are got, the blood-sugar content A in current blood glucose data is compared
Whether default blood-sugar content B in trigger condition is more than；When blood-sugar content A is more than blood-sugar content B, then alarm rule is triggered；
When blood-sugar content A is less than blood-sugar content B, alarm rule does not process.In addition, in other exemplary embodiments of the disclosure
In, (such as it can also be whether fasting blood sugar amount is higher in a period of time number is more than default in other way
Number) to determine whether meet trigger condition, particular determination is not done to this in the present exemplary embodiment.
In step S150, after the alarm rule is triggered, according to corresponding mark under the identity of the patient
The associated medical content of label, generates corresponding intervention stratege.Refering to what is shown in Fig. 2, generating corresponding intervention stratege can include
Following step S202~S204.Wherein：
In step S202, the medical content associated by corresponding label under the identity of the patient is configured to one
It presets in intervention stratege template to generate the intervention stratege；In step S204, by the mark of the intervention stratege with it is described
Alarm rule is associated, and the intervention stratege is filled into a default display area.
In this example embodiment, above-mentioned label, which can for example include demography label, (such as can include patient
Name, gender, date of birth, nationality, schooling, occupation, post, marital status, religious belief etc.), disease label (example
The suggestion that can such as disease name included, cause the reason for disease, one should also note that item and provided for disease) with
And the one or more in sociology label (such as family history disease etc. can be included), it can also carry out according to actual needs
Others definition, this example embodiment are not particularly limited this；Above-mentioned intervention stratege, which includes diet intervention, (such as can wrap
The patient for including diabetes is high quality protein diet, it is proposed that the foods such as intake chicken and duck fish；Or the patient of diabetic nephropathy
For low protein diet, it is proposed that control albumen intake etc.), movement intervene, medication intervention and see a doctor guidance intervene in one kind
Or it is a variety of, other definition can also be carried out according to actual needs, this example embodiment is not particularly limited this.
For example, after alarm rule is triggered, according to the identity of patient, by corresponding label institute under identity
The medical treatment such as associated points for attention (such as can be dietary precautions, movement points for attention or work and rest points for attention etc.)
Content is configured in the template (template of intervention stratege for example may be referred to shown in Fig. 3 a) of default intervention stratege, and for individual character
Corresponding replacement is done in the content part of change, and (intervention stratege for example can be with for intervention stratege that then generation is adapted with patient in itself
With reference to shown in figure 3b), it is replaced by personalization, the situation of patient in itself can be combined, produce a series of personalized intervention
Scheme (such as the eating habit adjustment, exercise habit adjustment and the medication custom adjustment that are carried out in itself according to patient can be included
Etc.) so that patient can preferably self adjust under the guidance of intervention stratege；It, will be described dry after intervention stratege generation
The mark of prescheme is associated (such as can include the identity of patient) with alarm rule, and intervention stratege is filled into
In default display area (such as content (catalogue) element can be included), by the way that intervention stratege and alarm rule are closed
Connection, can trigger alarm rule in real time according to danger classes, avoid the further deterioration of conditions of patients in time.In addition, at this
In other disclosed exemplary embodiments, intervention stratege can also be generated by other means, to this in the present exemplary embodiment
Do not do particular determination.
In another example embodiment, refering to what is shown in Fig. 4, above-mentioned medical data processing method further includes step S410
~S440.Wherein：
In step S410, by the current blood glucose data by will be in the identity and medical system of the patient
The mode of identity mapping carries out fusion treatment with the historical glucose data in the medical system.
In this example embodiment, after the identity of the current blood glucose data and patient that obtain patient, according to
Identity in the identity of patient and medical system corresponding to patient mapped (such as can include according to patient
Identity log in medical system etc.), then the current blood glucose data of patient are merged with historical glucose data again
Processing, obtains a comprehensive blood glucose level data；It, can be with by the way that the current blood glucose data of patient are merged with historical glucose data
A unified data archival is established, more accurately intervention stratege is provided for patient.In addition, in other exemplary realities of the disclosure
It applies in example, can also by other means merge the current blood glucose data of patient with historical glucose data, this is exemplary
Particular determination is not done in embodiment to this.
In the step s 420, according to the blood glucose level data after fusion treatment, the medical content associated by the label is updated.
In this example embodiment, updated according to above-mentioned comprehensive blood glucose level data corresponding under the identity of patient
Medical content associated by label, with reference to shown in figure 5a and Fig. 5 b；Wherein Fig. 5 a are parameter label's updates, and Fig. 5 b are label institutes
The update of associated medical content.In addition, in other exemplary embodiments of the disclosure, it can also be according to other contents pair
Relevant information is updated, and does not do particular determination in the present exemplary embodiment to this.
In step S430, according to the blood glucose level data after fusion treatment, establish between patient behavior and blood glucose level data variation
Incidence relation；In step S440, the blood glucose level data variation tendency is predicted and according to the change according to the incidence relation
The generation of change trend shifts to an earlier date intervention stratege accordingly.Specifically：
According to above-mentioned comprehensive blood glucose level data, blood glucose level data caused by the behaviors such as patient medication, diet and movement is established
Then incidence relation between variation does a prediction by machine learning algorithm according to incidence relation to following blood glucose level data,
The blood glucose level data of prediction is imported in risk model again, the reason for blood glucose level data is abnormal is derived by exceptional value prediction algorithm,
Finally obtaining one, intervention stratege, the item that patient is reminded to need to pay attention in advance accomplish to intervene in advance in advance.In addition, in the disclosure
Other exemplary embodiments in, above-mentioned intervention stratege in advance can also be obtained according to others, it is right in the present exemplary embodiment
This does not do particular determination.
In addition, although describing each step of method in the disclosure with particular order in the accompanying drawings, this does not really want
Asking or implying must could realize according to the particular order come the step for performing these steps or having to carry out shown in whole
Desired result.It is additional or alternative, it is convenient to omit some steps, by multiple steps merge into a step perform and/
Or a step is decomposed into execution of multiple steps etc..
This example embodiment additionally provides a kind of medical data processing unit.Refering to what is shown in Fig. 6, the medical data life
It can include alarm rule creation module 610, data acquisition module 620, trigger condition judgment module 630, alarm rule into device
Then trigger module 640 and intervention stratege generation module 650.Wherein：
Alarm rule creation module 610 can be used for creating an alarm rule, and the alarm rule includes and blood glucose level data
A relevant trigger condition.
Data acquisition module 620 can be used for the current blood glucose data for obtaining patient and the identity of patient.
Trigger condition judgment module 630 can be used for judging whether the blood glucose level data meets the trigger condition.
Alarm rule trigger module 640 can be used for when judging that the blood glucose level data meets the trigger condition, triggering
The alarm rule.
Intervention stratege generation module 650 can be used for after the alarm rule is triggered, according to the identity of the patient
Medical content under mark associated by corresponding label generates corresponding intervention stratege.
In this example embodiment, described device further includes：
Fusion treatment module can be used for by the current blood glucose data by by the identity of the patient with medical treatment
The mode of identity mapping in system carries out fusion treatment with the historical glucose data in the medical system.
Medical content update module can be used for, according to the blood glucose level data after fusion treatment, updating associated by the label
Medical content.
In this example embodiment, generating corresponding intervention stratege includes：
Medical content associated by corresponding label under the identity of the patient is configured to a default intervention stratege
To generate the intervention stratege in template；And be associated the mark of the intervention stratege and the alarm rule, and will
The intervention stratege is filled into a default display area.
In this example embodiment, described device further includes association contact and establishes module and can be used for according to fusion treatment
Blood glucose level data afterwards establishes the incidence relation between patient behavior and blood glucose level data variation；Intervention stratege generation module can in advance
For predicting the blood glucose level data variation tendency according to the incidence relation and being carried accordingly according to variation tendency generation
Preceding intervention stratege.
In this example embodiment, the label is included in demography label, disease label and sociology label
It is one or more；The intervention stratege includes one kind or more in diet intervention, movement intervention, medication intervention and guidance of seeing a doctor
Kind.
The detail of each module is in corresponding medical data processing method in above-mentioned medical data processing unit
It has carried out wanting to describe in detail, therefore details are not described herein again.
It should be noted that although several modules or list of the equipment for action executing are referred in above-detailed
Member, but this division is not enforceable.In fact, according to embodiment of the present disclosure, it is above-described two or more
Either the feature of unit and function can embody module in a module or unit.A conversely, above-described mould
Either the feature of unit and function can be further divided into being embodied by multiple modules or unit block.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can be realized by software, can also be realized in a manner that software is with reference to necessary hardware.Therefore, according to the disclosure
The technical solution of embodiment can be embodied in the form of software product, the software product can be stored in one it is non-volatile
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions so that a calculating
Equipment (can be personal computer, server, mobile terminal or network equipment etc.) is performed according to disclosure embodiment
Method.
Those skilled in the art will readily occur to the disclosure its after considering specification and putting into practice invention disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Person's adaptive change follows the general principle of the disclosure and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.Description and embodiments are considered only as illustratively, and the true scope and spirit of the disclosure are by appended
Claim is pointed out.
Claims (10)
1. a kind of medical data processing method, which is characterized in that including：
An alarm rule is created, the alarm rule includes and the relevant trigger condition of blood glucose level data；
Obtain the current blood glucose data of patient and the identity of patient；
Judge whether the blood glucose level data meets the trigger condition；
When judging that the blood glucose level data meets the trigger condition, the alarm rule is triggered；
After the alarm rule is triggered, in the medical treatment according to associated by corresponding label under the identity of the patient
Hold, generate corresponding intervention stratege.
2. medical data processing method according to claim 1, which is characterized in that the method further includes：
By the current blood glucose data by by the identity and medical system of the patient identity map side
Formula carries out fusion treatment with the historical glucose data in the medical system；
According to the blood glucose level data after fusion treatment, the medical content associated by the label is updated.
3. medical data processing method according to claim 1, which is characterized in that generating corresponding intervention stratege includes：
Medical content associated by corresponding label under the identity of the patient is configured to a default intervention stratege template
In to generate the intervention stratege；And
The mark of the intervention stratege and the alarm rule are associated, and the intervention stratege is filled into a default exhibition
Show in region.
4. medical data processing method according to claim 2, which is characterized in that the method further includes：
According to the blood glucose level data after fusion treatment, the incidence relation between patient behavior and blood glucose level data variation is established；
The blood glucose level data variation tendency is predicted according to the incidence relation and is shifted to an earlier date according to variation tendency generation is corresponding
Intervention stratege.
5. medical data processing method according to claim 1, which is characterized in that the label include demography label,
One or more in disease label and sociology label；The intervention stratege includes diet intervention, movement is intervened, medication is done
One or more in pre- and guidance of seeing a doctor.
6. a kind of medical data processing unit, which is characterized in that including：
Alarm rule creation module：For creating an alarm rule, the alarm rule is included to be touched with blood glucose level data relevant one
Clockwork spring part；
Data acquisition module：For obtaining the current blood glucose data of patient and the identity of patient；
Trigger condition judgment module：For judging whether the blood glucose level data meets the trigger condition；
Alarm rule trigger module：For when judging that the blood glucose level data meets the trigger condition, triggering the alarm rule
Then；
Intervention stratege generation module：For after the alarm rule is triggered, being corresponded to according under the identity of the patient
Label associated by medical content, generate corresponding intervention stratege.
7. medical data processing unit according to claim 6, which is characterized in that described device further includes：
Fusion treatment module：For by the current blood glucose data by will be in the identity and medical system of the patient
The mode of identity mapping carries out fusion treatment with the historical glucose data in the medical system；
Medical content update module：For according to the blood glucose level data after fusion treatment, updating in the medical treatment associated by the label
Hold.
8. medical data processing unit according to claim 6, which is characterized in that generating corresponding intervention stratege includes：
Medical content associated by corresponding label under the identity of the patient is configured to a default intervention stratege template
In to generate the intervention stratege；And
The mark of the intervention stratege and the alarm rule are associated, and the intervention stratege is filled into a default exhibition
Show in region.
9. medical data processing unit according to claim 6, which is characterized in that described device further includes：
Module is established in association contact：For according to the blood glucose level data after fusion treatment, establishing patient behavior and changing with blood glucose level data
Between incidence relation；
Intervention stratege generation module in advance：For predicting the blood glucose level data variation tendency and according to institute according to the incidence relation
It states variation tendency generation and shifts to an earlier date intervention stratege accordingly.
10. medical data processing unit according to claim 6, which is characterized in that the label include demography label,
One or more in disease label and sociology label；The intervention stratege includes diet intervention, movement is intervened, medication is done
One or more in pre- and guidance of seeing a doctor.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108986409A (en) * | 2018-09-13 | 2018-12-11 | 北京益生研科技（集团）有限公司 | A kind of wisdom endowment early warning system |
| CN108968975A (en) * | 2018-07-20 | 2018-12-11 | 深圳市漫牛医疗有限公司 | The measurement method and equipment of blood glucose value based on artificial intelligence |
| CN109065164A (en) * | 2018-07-25 | 2018-12-21 | 泰康保险集团股份有限公司 | human health monitoring method and device |
| CN110364261A (en) * | 2019-07-17 | 2019-10-22 | 上海派兰数据科技有限公司 | A method of establishing the acute coronary syndrome bleeding risk prediction model postoperative in interventional therapy |
| CN113782132A (en) * | 2021-08-31 | 2021-12-10 | 平安国际智慧城市科技股份有限公司 | Dynamic updating method, device and medium for label information |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130332182A1 (en) * | 2012-06-11 | 2013-12-12 | Gerene Delores SCHMIDT | Evidence-based personalized diabetes self-care system and method |
| CN105160199A (en) * | 2015-09-30 | 2015-12-16 | 刘毅 | Continuous blood sugar monitoring based method for processing and displaying diabetes management information with intervention information |
| CN105608091A (en) * | 2014-11-21 | 2016-05-25 | 中国移动通信集团公司 | Construction method and device of dynamic medical knowledge base |
-
2016
- 2016-11-21 CN CN201611028668.2A patent/CN108091373A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130332182A1 (en) * | 2012-06-11 | 2013-12-12 | Gerene Delores SCHMIDT | Evidence-based personalized diabetes self-care system and method |
| CN105608091A (en) * | 2014-11-21 | 2016-05-25 | 中国移动通信集团公司 | Construction method and device of dynamic medical knowledge base |
| CN105160199A (en) * | 2015-09-30 | 2015-12-16 | 刘毅 | Continuous blood sugar monitoring based method for processing and displaying diabetes management information with intervention information |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108968975A (en) * | 2018-07-20 | 2018-12-11 | 深圳市漫牛医疗有限公司 | The measurement method and equipment of blood glucose value based on artificial intelligence |
| CN109065164A (en) * | 2018-07-25 | 2018-12-21 | 泰康保险集团股份有限公司 | human health monitoring method and device |
| CN108986409A (en) * | 2018-09-13 | 2018-12-11 | 北京益生研科技（集团）有限公司 | A kind of wisdom endowment early warning system |
| CN110364261A (en) * | 2019-07-17 | 2019-10-22 | 上海派兰数据科技有限公司 | A method of establishing the acute coronary syndrome bleeding risk prediction model postoperative in interventional therapy |
| CN113782132A (en) * | 2021-08-31 | 2021-12-10 | 平安国际智慧城市科技股份有限公司 | Dynamic updating method, device and medium for label information |
| CN113782132B (en) * | 2021-08-31 | 2024-04-09 | 深圳平安智慧医健科技有限公司 | Dynamic updating method, device and medium of label information |
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