CN107845409A - A kind of processing method and processing device of health data - Google Patents
A kind of processing method and processing device of health data Download PDFInfo
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- CN107845409A CN107845409A CN201711260069.8A CN201711260069A CN107845409A CN 107845409 A CN107845409 A CN 107845409A CN 201711260069 A CN201711260069 A CN 201711260069A CN 107845409 A CN107845409 A CN 107845409A
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Abstract
This application discloses a kind of processing method and processing device of health data, methods described includes：The individual health data that targeted customer uploads is obtained, the individual health data is the health data of any part of checklist of targeted customer under one's name；Determine integrated value corresponding to the individual health data；When the individual health data every time by target mechanism in use, determining contribution degree of the individual health data to the target mechanism according to the integrated value；The contribution degree currently determined is added up with the contribution degree determined before, obtains the contribution degree accumulated value of targeted customer under one's name；If the contribution degree accumulated value reaches default accumulated value, provided to targeted customer and preset preferential service.Preferential service is provided for targeted customer, improves the enthusiasm that targeted customer uploads oneself health data, so that target mechanism can get individual health data, and then can evaluate and play the real value of individual health data.
Description
Technical field
The application is related to field of computer technology, more particularly to a kind of processing method and processing device of health data.
Background technology
Individual health data management is the trend of big health control at present, how to allow individual oneself to manage the health of oneself
Data are always an industry pain spot.
The implementation of existing individual health data management is unsatisfactory, and traditional approach is usually to have full-time people in family practice room
The part-time health data management work for doing community personnel of member, someone submits health data just to manage on behalf of another, however, personal general feelings
It is not to surrender the health data of oneself with pleasure to allow others to manage on behalf of another under condition, because it worries that the health data of oneself is usurped by others
Change, but lack the enthusiasm for managing oneself health data, so that associated mechanisms can not obtain and evaluate personal health number
According to real value, and then the real value of individual health data can not be played.
The content of the invention
In view of this, the main purpose of the embodiment of the present application is to provide a kind of processing method and processing device of health data,
It can determine the real value of individual health data.
The embodiment of the present application provides a kind of processing method of health data, including：
The individual health data that targeted customer uploads is obtained, the individual health data is times of the targeted customer under one's name
The health data of a checklist；
Integrated value corresponding to the individual health data is determined, the integrated value characterizes the valency of the individual health data
Value height；
When the individual health data according to the integrated value every time by target mechanism in use, determine the personal health
For data to the contribution degree of the target mechanism, the target mechanism is that the targeted customer licenses the individual health data
Mechanism；
The contribution degree currently determined is added up with the contribution degree determined before, obtains the tribute of the targeted customer under one's name
Degree of offering accumulated value；
If the contribution degree accumulated value reaches default accumulated value, provided to the targeted customer and preset preferential service.
Optionally, integrated value corresponding to the determination individual health data, including：
Data attribute set corresponding to the individual health data is determined, the data attribute set includes Data Detection side
One or more ATTRIBUTE INDEXs in formula, Data Detection mechanism, Data Detection time, the data scale of construction；
Preset desired value corresponding to each ATTRIBUTE INDEX in the data attribute set, determines the personal health
Integrated value corresponding to data.
It is optionally, described that contribution degree of the individual health data to the target mechanism is determined according to the integrated value,
Including：
Determine to use attribute set corresponding to the individual health data, it is described to include the target machine using attribute set
Data analysis direction that the rank of structure, the target mechanism are carried out using the individual health data, the individual health data
One or more ATTRIBUTE INDEXs on the data analysis direction in caused value direction；
According to preset desired value corresponding to each ATTRIBUTE INDEX in the integrated value and the use attribute set, it is determined that
Contribution degree of the individual health data to the target mechanism.
Optionally, after the default preferential service to targeted customer offer, in addition to：
The default accumulated value is removed from the contribution degree accumulated value, using surplus value as the contribution determined before
Degree.
Optionally, methods described also includes：
Upload request in response to the targeted customer to the individual health data, using block chain digital signature technology
Handle the individual health data；
The individual health data after processing is stored in database；
Then, the individual health data for obtaining targeted customer and uploading, including：
The individual health data that targeted customer uploads is obtained from the database.
The embodiment of the present application additionally provides a kind of processing unit of health data, including：
Health data acquiring unit, for obtaining the individual health data of targeted customer's upload, the individual health data
For the health data of any part of checklist of the targeted customer under one's name；
Integrated value determining unit, for determining integrated value corresponding to the individual health data, the integrated value characterizes
The value height of the individual health data；
Contribution degree determining unit, for when the individual health data is every time by target mechanism in use, according to the product
Score value determines contribution degree of the individual health data to the target mechanism, and the target mechanism authorizes for the targeted customer
Use the mechanism of the individual health data；
Contribution degree summing elements, for the contribution degree currently determined to be added up with the contribution degree determined before, obtain
The contribution degree accumulated value of the targeted customer under one's name；
Preferential service rendering units, if reaching default accumulated value for the contribution degree accumulated value, used to the target
Family, which provides, presets preferential service.
Optionally, the integrated value determining unit includes：
Data attribute determination subelement, for determining data attribute set corresponding to the individual health data, the number
Include one or more category in Data Detection mode, Data Detection mechanism, Data Detection time, the data scale of construction according to attribute set
Property index；
Integrated value determination subelement, for preset finger corresponding to each ATTRIBUTE INDEX in the data attribute set
Scale value, determine integrated value corresponding to the individual health data.
Optionally, the contribution degree determining unit includes：
It is described to make for determining to use attribute set corresponding to the individual health data using attribute determination subelement
With the data point that attribute set includes the rank of the target mechanism, the target mechanism is carried out using the individual health data
The one or more attributes of analysis direction, the individual health data on the data analysis direction in caused value direction refer to
Mark；
Contribution degree determination subelement, for according to each ATTRIBUTE INDEX in the integrated value and the use attribute set
Corresponding preset desired value, determine contribution degree of the individual health data to the target mechanism.
Optionally, described device also includes：
Contribution degree removes subelement, after providing default preferential service to the targeted customer, from the contribution degree
The default accumulated value is removed in accumulated value, using surplus value as the contribution degree determined before.
Optionally, described device also includes：
Health data storage unit, for the upload request in response to the targeted customer to the individual health data,
The individual health data is handled using block chain digital signature technology；The individual health data after processing is stored in number
According in storehouse；
Then, the health data acquiring unit, the individual uploaded specifically for obtaining targeted customer from the database
Health data.
The embodiment of the present application additionally provides a kind of processing unit of health data, including：Processor, memory, system are total
Line；
The processor and the memory are connected by the system bus；
The memory is used to store one or more programs, and one or more of programs include instruction, the instruction
Make a kind of computing device above-mentioned any implementation method of the processing method of health data when by the computing device.
The embodiment of the present application additionally provides a kind of computer-readable recording medium, it is characterised in that the computer is readable
Instruction is stored with storage medium, when the instruction is run on the terminal device so that the terminal device performs above-mentioned one
Any implementation method of the processing method of kind health data.
The embodiment of the present application additionally provides a kind of computer program product, it is characterised in that the computer program product
When running on the terminal device so that the terminal device performs a kind of above-mentioned any realization side of the processing method of health data
Method.
A kind of processing method and processing device for health data that the embodiment of the present application provides, obtain the individual that targeted customer uploads
Health data, it is determined that the integrated value of the value height of the individual health data is characterized, when the individual health data is described
It is legal in use, determining the individual health data to institute according to the integrated value by certain target mechanism under the mandate of targeted customer
The contribution degree of target mechanism is stated, is the targeted customer according to the contribution degree currently determined and the contribution degree determined before afterwards
Preferential service is provided.It can be seen that this preferential service improves the enthusiasm that the targeted customer uploads oneself health data, so as to
Enable the target mechanism to get individual health data, and then can evaluate and play the real price of individual health data
Value.
Brief description of the drawings
, below will be to embodiment or existing in order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are the application
Some embodiments, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis
These accompanying drawings obtain other accompanying drawings.
Fig. 1 is a kind of flow chart of the processing method for health data that the embodiment of the present application one provides；
Fig. 2 is a kind of flow chart of the processing method for health data that the embodiment of the present application two provides；
Fig. 3 is a kind of flow chart of the processing method for health data that the embodiment of the present application three provides；
Fig. 4 is a kind of combination diagram of the processing unit for health data that the embodiment of the present application four provides.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In accompanying drawing, the technical scheme in the embodiment of the present application is clearly and completely described, it is clear that described embodiment is
Some embodiments of the present application, rather than whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belong to the scope of the application protection.
Embodiment one
Referring to Fig. 1, a kind of flow chart of the processing method of the health data provided for the embodiment of the present application one, this method bag
Include：
S101：The individual health data that targeted customer uploads is obtained, the individual health data is targeted customer's name
Under any part of checklist health data.
It should be noted that user can be registered on any one health control website, turn into registered user, for
Registered user carries out every a checklist of health inspection, registered user to oneself body in different time, different location
To be uploaded to the health control website, or selectivity by partial test single upload to the health control website, so,
Registered user can check the checklist of oneself at any time, so as to be contrasted at any time to the health condition of oneself.
The registered user is defined as by the registered user registered for any one position on health control website, the present embodiment
The targeted customer.In addition, the health control website can be the website of certain medical institutions management, the medical institutions specifically may be used
Be under certain insurance company or cooperation medical institutions.
It is understood that all checklists of the targeted customer under one's name, it is understood that there may be different types of checklist,
It there may be and belong to same type of one or more parts checklist.For example, blood routine laboratory test report, urine routine test list belong to different
The checklist of type, the targeted customer there may be more parts of blood routine laboratory test reports of different time points inspection under one's name, it is also possible to
More parts of urine routine test lists of different time points inspection be present.
In the present embodiment, the targeted customer and some mechanisms authorized by the targeted customer, institute can be obtained
State the individual health data in the checklist of targeted customer's upload.
S102：Integrated value corresponding to the individual health data is determined, the integrated value characterizes the personal health number
According to value height.
Every a checklist for being uploaded to health control website, it may be determined that the individual health data in the checklist
Integrated value, specifically can according to the attribute information (such as detection time, detection mode etc.) of the individual health data come really
Constant volume score value, with this come reflect the value of the individual health data height.
S103：When the individual health data by target mechanism in use, being determined according to the integrated value described personal strong
For health data to the contribution degree of the target mechanism, the target mechanism is that the targeted customer licenses the personal health number
According to mechanism.
When the individual health data by authorized organizations such as insurance companies in use, this part of data can be calculated to insurance public affairs
The contribution degree of department, the contribution degree namely use value.
S104：The contribution degree currently determined is added up with the contribution degree determined before, obtains targeted customer's name
Under contribution degree accumulated value.
For all checklists of the targeted customer under one's name, some checklists may be from being not used by, some checklists
It may be used multiple times, as long as being only used once, just determine the contribution degree of checklist used, and by current contribution degree therewith
Preceding contribution degree carries out constantly cumulative.
It should be noted that these multiple contribution degrees for being cumulatively added, corresponding at least one under same service organization
Target mechanism or the target mechanism corresponding to a certain fixation.
S105：If the contribution degree accumulated value reaches default accumulated value, provided to the targeted customer and preset preferential clothes
Business.
Illustrate, it is assumed that contribution degree is represented with specific score value, in this month, if the portion of the targeted customer under one's name
Checklist is used, and the contribution degree of the individual health data of the checklist is 18.72 points, contribution degree aggregate-value before this
For 90 points, then contribution degree aggregate-value so far is 108.72 points.Assuming that the default accumulated value is 100 points, due to described
Contribution degree aggregate-value has exceeded the default accumulated value, therefore, can be provided to the targeted customer and preset preferential service.Example
Such as, if the target mechanism is insurance company, it can be that of that month monthly fee reduces or remits 10% or other deduction and exemption that this, which presets preferential service,
Amount.
Further, to avoid contribution degree from repeatedly being exchanged for preferential service, after this step S105, can also include,
The default accumulated value is removed from the contribution degree accumulated value, using surplus value as the contribution determined before described in S104
Degree.So, when the individual health data as the targeted customer under one's name generates contribution degree again, just on the basis of surplus value
On added up, until reaching the default accumulated value and then secondary giving corresponding preferential service.
Example before continuation, when for the targeted customer provide monthly fee deduction and exemption it is preferential after, the contribution degree is added up
108.72 points of value subtracts the default accumulated value as 100 points, obtains surplus value 8.72 and divides, 8.72 are allocated as existing contribution
Degree, in this, as cumulative base value.
As a kind of application scenarios, when individual health data is uploaded to the doctor under certain insurance pool by the targeted customer
Treat mechanism, using the target mechanism of the individual health data for certain insurance company under the insurance pool when, when strong
, can be to obtain corresponding preferential service, such as insurance monthly fee reduction when the contribution degree of health data reaches certain cumulative extent, this
Sample, the health data of targeted customer's active management oneself on the one hand can be encouraged, on the other hand can promote insurance pool
Under medical institutions avoid over-treatment for same people, seem to make guarantor although giving the insurance preferential surface that monthly fee reduces
There is loss in dangerous group, but makes the targeted customer is positive to manage the health data of oneself, not only increases the target
The health perception of user, while the rate of being in danger can also be lowered, this to the targeted customer, be three to insurance pool, medical institutions
Fang Duoying.
To sum up, the processing method for a kind of health data that the embodiment of the present application provides, the individual that targeted customer uploads is obtained
Health data, it is determined that the integrated value of the value height of the individual health data is characterized, when the individual health data is described
It is legal in use, determining the individual health data to institute according to the integrated value by certain target mechanism under the mandate of targeted customer
The contribution degree of target mechanism is stated, is the targeted customer according to the contribution degree currently determined and the contribution degree determined before afterwards
Preferential service is provided.It can be seen that this preferential service improves the enthusiasm that the targeted customer uploads oneself health data, so as to
Enable the target mechanism to get individual health data, and then can evaluate and play the real price of individual health data
Value.
Embodiment two
Referring to Fig. 2, a kind of flow chart of the processing method of the health data provided for the embodiment of the present application two, this method bag
Include：
S201：The individual health data that targeted customer uploads is obtained, the individual health data is targeted customer's name
Under any part of checklist health data.
It should be noted that this step S201 is identical with the step S101 in above-described embodiment one, related introduction refers to
Embodiment one, will not be repeated here.
S202：Determine data attribute set corresponding to the individual health data.
Wherein, the data attribute set includes Data Detection mode, Data Detection mechanism, Data Detection time, data
One or more ATTRIBUTE INDEXs in the scale of construction.
The present embodiment can determine each ATTRIBUTE INDEX in such a way：
A checklist is examined typically by physical examination, diagnosis, inspection, inspection, assessment ... etc. one of which data
Survey mode obtains.Therefore, the individual can be determined from the checklist belonging to the individual health data or other channels
Data Detection mode corresponding to health data.
A checklist is typically by the one of data of Grade A hospital, tertiary hospitals, second-grade hospital ... etc.
Testing agency's detection.Therefore, described can be determined from the checklist belonging to the individual health data or other channels
Data Detection mechanism corresponding to people's health data.
The specific Data Detection time would generally be marked on a checklist, therefore, can be from the individual health data
Affiliated checklist, determine the Data Detection time corresponding to the individual health data.
A checklist generally includes the different pieces of information parameter for belonging to individual health data, therefore, can directly count institute
The quantity of the data parameters of individual health data is stated, the quantity is the data scale of construction of the individual health data.
S203：Preset desired value corresponding to each ATTRIBUTE INDEX in the data attribute set, determine described
Integrated value corresponding to people's health data.
, can be to be setting target value in a manner of each specific Data Detection in advance in the present embodiment, specifically can be according to
The accuracy setting target value of assay, i.e. the accuracy of assay is higher, and corresponding desired value is bigger.For example, can be with
The desired value of above-mentioned " physical examination " is arranged to 5, the desired value of " diagnosis " is arranged to the 4, desired value by " inspection " and " inspection "
Be disposed as 3, the desired value of " assessment " be arranged to 2 ... etc..Based on this, when the data attribute set includes " number
According to detection mode " this ATTRIBUTE INDEX when, it is determined that after the specific Data Detection mode of the individual health data, match with
Scale value is referred specifically to corresponding to.
Can be each specific Data Detection mechanism setting target value in advance in the present embodiment, specifically can be according to
The authoritative setting target value of assay, i.e. the authority of assay is higher, and corresponding desired value is bigger.For example, can be with
The desired value of above-mentioned " Grade A hospital " is arranged to 5, the desired value of " tertiary hospitals " is arranged to 4, by the finger of " second-grade hospital "
Scale value is arranged to 3 ... etc..Based on this, in this step B, when the data attribute set include " Data Detection mechanism " this
During one ATTRIBUTE INDEX, it is determined that after the specific Data Detection mechanism of the individual health data, match corresponding specific
Desired value.
In the present embodiment, different time ranges can be divided in advance, for example, a nearly annual data, data in 3 years, 5 years
Interior data ... etc., and be each time range setting target value in advance, i.e. detection time is more forward, corresponding index
Value is bigger.For example, the desired value of above-mentioned " a nearly annual data " can be arranged into 5, the desired value of " data in 3 years " is set
For 4, the desired value of " data in 5 years " is arranged to 3 ... etc..Based on this, when the data attribute set includes " number
According to detection time " this ATTRIBUTE INDEX when, it is determined that after the specific Data Detection time of the individual health data, determine its institute
The time range of category, and determine corresponding with the time range to refer specifically to scale value.
In the present embodiment, different data volume scopes can be divided in advance, such as, it can extract number of parameters>50th, can extract
Number of parameters>40...... etc., and be each data volume scope setting target value in advance, i.e. data volume scope is bigger, corresponding
Desired value it is bigger.For example, " can extract number of parameters by above-mentioned>50 " desired value is arranged to 5, will " extractable parameter number
Amount>40 " desired value is arranged to 4 ... etc..Based on this, when the data attribute set includes " the data scale of construction " this category
During property index, it is determined that after the specific data scale of construction of the individual health data, the data volume scope belonging to it is determined, and determine
Data volume scope is corresponding refers specifically to scale value with this.
It should be noted that when not including certain ATTRIBUTE INDEX in the data attribute set, corresponding to the ATTRIBUTE INDEX
Preset desired value is 0.
Next, integrated value JF corresponding to the individual health data can be calculated in such a way：
JF=(ZB1+ZB2+ZB3) * ZB4 (1)
Wherein, ZB1 is preset desired value corresponding to the Data Detection mode of the individual health data, and ZB2 is described
Preset desired value corresponding to the Data Detection mechanism of people's health data, ZB3 are the Data Detection time of the individual health data
Corresponding preset desired value, ZB4 are preset desired value corresponding to the data scale of construction of the individual health data.
For example, if certain user 1 uploads the blood routine laboratory test report in this year of a three institutes of north doctor, the laboratory test report is
Result of laboratory test that is being obtained by " inspection " mode and providing 43 parameters, then the integrated value JF=(ZB1+ of this data
ZB2+ZB3) * ZB4=(3+5+5) * 4=52.
S204：When the individual health data every time by target mechanism in use, determining that the individual health data is corresponding
Use attribute set.
Wherein, rank, the target mechanism that the target mechanism is included using attribute set uses the individual
Data analysis direction, the individual health data caused value direction on the data analysis direction of health data progress
In one or more ATTRIBUTE INDEXs.
Specifically, the rank of the target mechanism, can be specifically that group company, subsidiary, branch company ... wait not
A kind of rank in same level；The data analysis direction that the target mechanism is carried out using the individual health data, specifically may be used
To be that customer analysis, diseases analysis ... wait a direction in different analysis directions；The individual health data is described
Caused value direction on data analysis direction, specifically can be draw new product designs, direct product upgrading ... without production
A kind of value directions gone out etc. in different value directions.
S205：According to preset index corresponding to each ATTRIBUTE INDEX in the integrated value and the use attribute set
Value, determines contribution degree of the individual health data to the target mechanism.
It should be noted that in step S202, if not including " Data Detection time " in the data attribute set,
An integrated value is then calculated by step S203, otherwise, it is necessary to based on tool when this step calculates contribution degree using integrated value
" the Data Detection time " of body is adjusted to integrated value result.
Can be each organizational level setting target value in advance, for example, can be by above-mentioned " group company " in the present embodiment
Desired value be arranged to 5, the desired value of " subsidiary " be arranged to 4, the desired value of " branch company " being arranged to 3 ... etc..
Can be in advance each data analysis direction setting target value, for example, can be by above-mentioned " client in the present embodiment
The desired value of analysis " is arranged to 5, the desired value of " diseases analysis " is arranged into 4 ... etc..
Can be in advance each value direction setting target value in the present embodiment, for example, " new production can be drawn by above-mentioned
Product design " desired value be arranged to 5, the desired value of " direct product upgrading " be arranged to 4 ... by the desired value of " no output "
It is arranged to 0 etc..
Next, contribution degree GXD of the individual health data to the target mechanism can be calculated in such a way：
GXD=(JB+SF) * JZ*JF/100 (2)
Wherein, JB is preset desired value corresponding to the rank of the target mechanism, and SF is described in target mechanism use
Preset desired value corresponding to the data analysis direction that individual health data is carried out, JZ are the individual health data in the data
Preset desired value, JF are the integrated value being calculated using above-mentioned formula (1) corresponding to caused value direction in analysis directions.
For example, in providing example in above-mentioned steps S203, if the chemical examination forms data that user 1 provides is insured by certain
Subsidiary under house flag is used for doing customer analysis, and some corresponding product is guided and realizes product up-gradation, then this
Contribution degree GXD=(JB+SF) * JZ*JF/100=(4+5) the * 4*52/100=18.72 of secondary data.If the change that user 1 provides
Verification certificate data are used for doing diseases analysis by corporate HQ, do not produce guiding value to product, then the contribution degree of this data
GXD=(JB+SF) * JZ*JF/100=(4+5) * 0*52/100=0.
S206：The contribution degree currently determined is added up with the contribution degree determined before, obtains targeted customer's name
Under contribution degree accumulated value.
S207：If the contribution degree accumulated value reaches default accumulated value, provided to the targeted customer and preset preferential clothes
Business.
It should be noted that this step S206-S207 is identical with the step S104-S105 in above-described embodiment one, it is related
Introduction refers to embodiment one, will not be repeated here.
Embodiment three
Referring to Fig. 3, a kind of flow chart of the processing method of the health data provided for the embodiment of the present application three, this method bag
Include：
S301：Upload request in response to the targeted customer to the individual health data, signed using block chain numeral
Individual health data described in name technical finesse；The individual health data after processing is stored in database.
In the present embodiment, the personal health number on per a checklist is managed by block chain digital signature technology
According to individual health data being avoided to be tampered, it is ensured that data are uploaded to the accuracy of above-mentioned health control website.
S302：The individual health data that targeted customer uploads is obtained from the database.
When the targeted customer or the other mechanisms licensed by the targeted customer need to obtain the personal health
During data, can by accessing database, to obtain the individual health data that the targeted customer uploads from the database,
These health datas being acquired using block chain digital signature technology because having higher accuracy.
Other related introductions refer to the step S101 in embodiment one.
S303：Integrated value corresponding to the individual health data is determined, the integrated value characterizes the personal health number
According to value height.
S304：When the individual health data by target mechanism in use, being determined according to the integrated value described personal strong
For health data to the contribution degree of the target mechanism, the target mechanism is that the targeted customer licenses the personal health number
According to mechanism.
S305：The contribution degree currently determined is added up with the contribution degree determined before, obtains targeted customer's name
Under contribution degree accumulated value.
S306：If the contribution degree accumulated value reaches default accumulated value, provided to the targeted customer and preset preferential clothes
Business.
It should be noted that this step S303-S306 is identical with the step S102-S105 in above-described embodiment one, it is related
Introduction refers to embodiment one, will not be repeated here.
Example IV
Referring to Fig. 4, a kind of composition schematic diagram of the processing unit of the health data provided for the embodiment of the present application four, the dress
Putting 400 includes：
Health data acquiring unit 401, for obtaining the individual health data of targeted customer's upload, the personal health number
According to the health data of any part of checklist for the targeted customer under one's name；
Integrated value determining unit 402, for determining integrated value corresponding to the individual health data, the integrated value characterizes
The value height of the individual health data；
Contribution degree determining unit 403, for when the individual health data is every time by target mechanism in use, according to described
Integrated value determines contribution degree of the individual health data to the target mechanism, and the target mechanism is that the targeted customer awards
Power uses the mechanism of the individual health data；
Contribution degree summing elements 404, for the contribution degree currently determined to be added up with the contribution degree determined before, obtain
To the contribution degree accumulated value of the targeted customer under one's name；
Preferential service rendering units 405, if reaching default accumulated value for the contribution degree accumulated value, to the target
User, which provides, presets preferential service.
In a kind of embodiment of the application, the integrated value determining unit 402 includes：
Data attribute determination subelement, for determining data attribute set corresponding to the individual health data, the number
Include one or more category in Data Detection mode, Data Detection mechanism, Data Detection time, the data scale of construction according to attribute set
Property index；
Integrated value determination subelement, for preset finger corresponding to each ATTRIBUTE INDEX in the data attribute set
Scale value, determine integrated value corresponding to the individual health data.
In a kind of embodiment of the application, the contribution degree determining unit 403 includes：
It is described to make for determining to use attribute set corresponding to the individual health data using attribute determination subelement
With the data point that attribute set includes the rank of the target mechanism, the target mechanism is carried out using the individual health data
The one or more attributes of analysis direction, the individual health data on the data analysis direction in caused value direction refer to
Mark；
Contribution degree determination subelement, for according to each ATTRIBUTE INDEX in the integrated value and the use attribute set
Corresponding preset desired value, determine contribution degree of the individual health data to the target mechanism.
In a kind of embodiment of the application, described device 400 also includes：
Contribution degree removes subelement, after providing default preferential service to the targeted customer, from the contribution degree
The default accumulated value is removed in accumulated value, using surplus value as the contribution degree determined before.
In a kind of embodiment of the application, described device 400 also includes：
Health data storage unit, for the upload request in response to the targeted customer to the individual health data,
The individual health data is handled using block chain digital signature technology；The individual health data after processing is stored in number
According in storehouse；
Then, the health data acquiring unit 401, uploaded specifically for obtaining targeted customer from the database
People's health data.
Further, the embodiment of the present application additionally provides the processing unit of another health data, including：Processor, deposit
Reservoir, system bus；
The processor and the memory are connected by the system bus；
The memory is used to store one or more programs, and one or more of programs include instruction, the instruction
Make a kind of computing device above-mentioned any implementation method of the processing method of health data when by the computing device.
Further, the embodiment of the present application additionally provides a kind of computer-readable recording medium, and the computer is readable to deposit
Instruction is stored with storage media, when the instruction is run on the terminal device so that the terminal device performs above-mentioned one kind
Any implementation method of the processing method of health data.
Further, the embodiment of the present application additionally provides a kind of computer program product, and the computer program product exists
When being run on terminal device so that the terminal device performs a kind of above-mentioned any realization side of the processing method of health data
Method.
As seen through the above description of the embodiments, those skilled in the art can be understood that above-mentioned implementation
All or part of step in example method can add the mode of required general hardware platform to realize by software.Based on such
Understand, the part that the technical scheme of the application substantially contributes to prior art in other words can be in the form of software product
Embody, the computer software product can be stored in storage medium, such as ROM/RAM, magnetic disc, CD, including some
Instruct make it that a computer equipment (can be the network services such as personal computer, server, or WMG
Equipment, etc.) perform method described in some parts of each embodiment of the application or embodiment.
It should be noted that each embodiment is described by the way of progressive in this specification, each embodiment emphasis is said
Bright is all the difference with other embodiment, between each embodiment identical similar portion mutually referring to.For reality
For applying device disclosed in example, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part
Referring to method part illustration.
It should also be noted that, herein, such as first and second or the like relational terms are used merely to one
Entity or operation make a distinction with another entity or operation, and not necessarily require or imply between these entities or operation
Any this actual relation or order be present.Moreover, term " comprising ", "comprising" or its any other variant are intended to contain
Lid nonexcludability includes, so that process, method, article or equipment including a series of elements not only will including those
Element, but also the other element including being not expressly set out, or it is this process, method, article or equipment also to include
Intrinsic key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that
Other identical element also be present in process, method, article or equipment including the key element.
The foregoing description of the disclosed embodiments, professional and technical personnel in the field are enable to realize or using the application.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments in the case where not departing from spirit herein or scope.Therefore, the application
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (13)
- A kind of 1. processing method of health data, it is characterised in that including：The individual health data that targeted customer uploads is obtained, the individual health data is any part of the targeted customer under one's name The health data of checklist；Integrated value corresponding to the individual health data is determined, the integrated value characterizes the value height of the individual health data Degree；When the individual health data according to the integrated value every time by target mechanism in use, determine the individual health data To the contribution degree of the target mechanism, the target mechanism is the machine that the targeted customer licenses the individual health data Structure；The contribution degree currently determined is added up with the contribution degree determined before, obtains the contribution degree of the targeted customer under one's name Accumulated value；If the contribution degree accumulated value reaches default accumulated value, provided to the targeted customer and preset preferential service.
- 2. according to the method for claim 1, it is characterised in that described to determine to integrate corresponding to the individual health data Value, including：Determine data attribute set corresponding to the individual health data, the data attribute set include Data Detection mode, One or more ATTRIBUTE INDEXs in Data Detection mechanism, Data Detection time, the data scale of construction；Preset desired value corresponding to each ATTRIBUTE INDEX in the data attribute set, determines the individual health data Corresponding integrated value.
- 3. according to the method for claim 1, it is characterised in that described that the personal health number is determined according to the integrated value According to the contribution degree to the target mechanism, including：Determine to use attribute set corresponding to the individual health data, it is described to include the target mechanism using attribute set Data analysis direction that rank, the target mechanism are carried out using the individual health data, the individual health data are in institute State one or more ATTRIBUTE INDEXs in caused value direction on data analysis direction；According to preset desired value corresponding to each ATTRIBUTE INDEX in the integrated value and the use attribute set, it is determined that described Contribution degree of the individual health data to the target mechanism.
- 4. according to the method described in any one of claims 1 to 3, it is characterised in that described provided to the targeted customer is preset After preferential service, in addition to：The default accumulated value is removed from the contribution degree accumulated value, using surplus value as the contribution degree determined before.
- 5. according to the method described in any one of claims 1 to 3, it is characterised in that methods described also includes：Upload request in response to the targeted customer to the individual health data, handled using block chain digital signature technology The individual health data；The individual health data after processing is stored in database；Then, the individual health data for obtaining targeted customer and uploading, including：The individual health data that targeted customer uploads is obtained from the database.
- A kind of 6. processing unit of health data, it is characterised in that including：Health data acquiring unit, for obtaining the individual health data of targeted customer's upload, the individual health data is institute State the health data of any part of checklist of targeted customer under one's name；Integrated value determining unit, for determining integrated value corresponding to the individual health data, the integrated value characterizes described The value height of individual health data；Contribution degree determining unit, for when the individual health data is every time by target mechanism in use, according to the integrated value Contribution degree of the individual health data to the target mechanism is determined, the target mechanism is that the targeted customer licenses The mechanism of the individual health data；Contribution degree summing elements, for the contribution degree currently determined to be added up with the contribution degree determined before, obtain described The contribution degree accumulated value of targeted customer under one's name；Preferential service rendering units, if reaching default accumulated value for the contribution degree accumulated value, carried to the targeted customer For presetting preferential service.
- 7. device according to claim 6, it is characterised in that the integrated value determining unit includes：Data attribute determination subelement, for determining data attribute set corresponding to the individual health data, the data category Property set includes Data Detection mode, Data Detection mechanism, Data Detection time, one or more attributes in the data scale of construction refer to Mark；Integrated value determination subelement, for preset index corresponding to each ATTRIBUTE INDEX in the data attribute set Value, determines integrated value corresponding to the individual health data.
- 8. device according to claim 6, it is characterised in that the contribution degree determining unit includes：It is described to use category for determining to use attribute set corresponding to the individual health data using attribute determination subelement Property set including the target mechanism the data analysis side that is carried out using the individual health data of rank, the target mechanism To the one or more ATTRIBUTE INDEXs of the, individual health data on the data analysis direction in caused value direction；Contribution degree determination subelement, for corresponding according to each ATTRIBUTE INDEX in the integrated value and the use attribute set Preset desired value, determine contribution degree of the individual health data to the target mechanism.
- 9. according to the device described in any one of claim 6 to 8, it is characterised in that described device also includes：Contribution degree removes subelement, after providing default preferential service to the targeted customer, is added up from the contribution degree The default accumulated value is removed in value, using surplus value as the contribution degree determined before.
- 10. according to the device described in any one of claim 6 to 8, it is characterised in that described device also includes：Health data storage unit, for the upload request in response to the targeted customer to the individual health data, use The block chain digital signature technology processing individual health data；The individual health data after processing is stored in database In；Then, the health data acquiring unit, the personal health uploaded specifically for obtaining targeted customer from the database Data.
- A kind of 11. processing unit of health data, it is characterised in that including：Processor, memory, system bus；The processor and the memory are connected by the system bus；The memory is used to store one or more programs, and one or more of programs include instruction, and quilt is worked as in the instruction Make method of the computing device as described in claim any one of 1-5 during the computing device.
- A kind of 12. computer-readable recording medium, it is characterised in that instruction is stored with the computer readable storage medium storing program for executing, When the instruction is run on the terminal device so that the terminal device perform claim requires the method described in any one of 1-5.
- 13. a kind of computer program product, it is characterised in that when the computer program product is run on the terminal device, make Obtain the method described in the terminal device perform claim requirement any one of 1-5.
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