CN109146247A - Medicine patented technology price analysing system - Google Patents
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- 238000005516 engineering process Methods 0.000 title claims abstract description 199
- 239000003814 drug Substances 0.000 title claims abstract description 143
- 229940079593 drug Drugs 0.000 title abstract description 7
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 112
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- 208000027418 Wounds and injury Diseases 0.000 claims abstract description 17
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- 238000004364 calculation method Methods 0.000 claims abstract description 12
- 230000009466 transformation Effects 0.000 claims abstract description 12
- 238000004458 analytical method Methods 0.000 claims description 19
- 238000006243 chemical reaction Methods 0.000 claims description 14
- 238000007781 pre-processing Methods 0.000 claims description 11
- 238000011160 research Methods 0.000 claims description 7
- 238000012550 audit Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 6
- 238000012546 transfer Methods 0.000 claims description 6
- 230000008901 benefit Effects 0.000 claims description 3
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- 238000001356 surgical procedure Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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Abstract
Medicine patented technology price analysing system of the present invention, history achievement data library store multiple medicine Transformation of Patents Technology real cases；Client index input module inputs the index of correlation data information of medicine patented technology to be assessed for user；First computing module according to medicine patented technology to be assessed disease extent of injury data Single diseases disease data related to disease treatment cost calculation technology, according to inventor's profession qualification data and inventor's technological contribution data computing technique first invention people's characteristic, according to technique factor data and patent factor data computing technique qualitative data, according to comprehensive hospital strength data, technical application foreground data and policy implication force data computing technique convert foreground data, according to technology correlation Single diseases disease data, technology first invention people's characteristic, technical quality data and technical transform foreground data calculate medicine patented technology price index；Second computing module calculates the price of medicine patented technology to be assessed according to medicine patented technology price index.
Description
Technical field
The present invention relates to patented technology price analysis technical fields, more particularly to a kind of medicine patented technology price analysis
System.
Background technique
Carry out basis and the premise that medicine patent clinic Economic Value Evaluation is hospital and enterprise's negotiation, cooperation and conversion.
Medicine patent has the characteristics that technology-intensive degree height and market information are asymmetric, and the field patent valve estimating is based primarily upon at present
The subjective judgement of medical worker or relevant industries expert adapt to the Economic Value Evaluation system of medicine patent conversion particularity not yet
It is formed.In patent value assessment method application practice, still into patent assets assessment by mature financial assessment approach application
It is the main means of domestic intangible asset at present, i.e. cost-or-market method, market method and income approach, wherein income approach will be by that will assess
Income contribution in patented technology time span of forecast discounts to the assessment Base day and obtains assessment result, is typically considered special with assessment
A kind of sharp technology inherent value connection appraisal procedure the most close, but it is random larger in the selection of assessment parameter, make specially
The result of sharp assets assessment lacks persuasion.
On the other hand, the particularity of medicine patent is that it is generated and Value Realization is present in during clinic diagnosis,
Therefore clinical disease diagnosis and treatment data and its key are introduced in its price evaluation, and the data module is neglected in existing appraisal procedure
Slightly.
Summary of the invention
The present invention is in view of the problems of the existing technology and insufficient, provides a kind of medicine patented technology price analysing system.
The present invention is to solve above-mentioned technical problem by following technical proposals:
The present invention provides a kind of medicine patented technology price analysing system, it is characterized in that comprising a history index number
Mould is calculated according to library, a client index input module, an input pointer client database, one first computing module, one second
Block and an assessment result output module；
History achievement data library is for storing multiple medicine Transformation of Patents Technology real cases, the medicine patent skill
Art conversion real case include patented technology be directed to disease category, category disease disease extent of injury data and disease control
Treat cost data, inventor's profession qualification data, inventor's technological contribution data, technique factor data, patent factor data, doctor
Institute's comprehensive strength data, technical application foreground data, policy implication force data and transfer price；
The client index input module is used for special for the medicine to be assessed of specified disease classification for user's input
The index of correlation data information of sharp technology is simultaneously stored to input pointer client database, and index of correlation data information includes to be evaluated
The disease extent of injury data and disease treatment cost number of disease category, category disease that the medicine patented technology estimated is directed to
According to, inventor's profession qualification data, inventor's technological contribution data, technique factor data, patent factor data, comprehensive hospital it is real
Force data, technical application foreground data and policy implication force data；
First computing module is used for disease extent of injury data and disease according to medicine patented technology to be assessed
Treatment cost calculates technology correlation Single diseases disease data, according to inventor's profession qualification data and inventor's technological contribution number
According to technology first invention people's characteristic is calculated, technical quality number is calculated according to technique factor data and patent factor data
According to calculating technical transform prospect number according to comprehensive hospital strength data, technical application foreground data and policy implication force data
According to, and according to calculated technology correlation Single diseases disease data, technology first invention people characteristic, technical quality data and
Technical transform foreground data calculates medicine patented technology price index；
Second computing module is for calculating medicine patent skill to be assessed according to medicine patented technology price index
The price and Price Range of art；
The assessment result output module is used to export the price of medicine patented technology to be assessed.
Preferably, the system also includes an auditing module, the index of correlation data information further include with it is to be assessed
The index of correlation data information and the market price of the relevant existing similar medicine patented technology of medicine patented technology,
The auditing module in medicine patented technology to be assessed for there are existing similar medicine patented technology and having
When the market price of existing similar medicine patented technology, which is audited, audit by when call first meter
It calculates module and calculates existing similar medicine patented technology price index, call the second computing module according to existing similar medicine patent skill
The proportionate relationship and medicine patented technology to be assessed of the market price of art price index and existing similar medicine patented technology
Price index calculates the price of medicine patented technology to be assessed；
When the audit fails, retrieval has the real price of similar medicine patented technology, calls the first computing module meter
Existing similar medicine patented technology price index is calculated, the second computing module is called to be referred to according to existing similar medicine patented technology price
The proportionate relationship of several and existing similar medicine patented technology real price and medicine patented technology price index to be assessed
Calculate the price of medicine patented technology to be assessed；
The auditing module in no existing similar medicine patented technology for calling the second computing module according to medicine
Patented technology price index and assessment constant calculate the price of medicine patented technology to be assessed.
Preferably, the system also includes assessment constant calculations modules；
First computing module according to the data that each medicine Transformation of Patents Technology real case includes for calculating
The corresponding medicine patented technology price index of medicine Transformation of Patents Technology real case；
The assessment constant calculations module is used for according to the corresponding transfer price of each medicine Transformation of Patents Technology real case
The radiometer of lattice and medicine patented technology price index calculates corresponding assessment constant；
Second computing module be used for according to medicine patented technology price index and assess constant be multiplied calculate it is to be evaluated
The price for the medicine patented technology estimated.
Preferably, the preprocessing module is used for disease extent of injury number the system also includes a preprocessing module
It is normalized according to disease treatment cost data；
The disease extent of injury data include: disease area illness rate X11, disease local death rate X12, disease the whole world
Illness rate X13With disease whole world death rate X14, the disease treatment cost data includes: disease average hospital days X15And disease
Time expense X in hospital16；
First computing module is used to pass through formula f1-1(x)=a1X11+a2X12+a3X13+a4X14Calculate disease harm
Extent index passes through formula f1-2(x)=a5X15+a6X16Disease treatment cost index is calculated, and passes through formula f1(x)=
(b1-1f1-1+b1-2f1-2)/b1Technology correlation Single diseases disease index is calculated, wherein a1、a2、a3、a4、a5、a6、b1-1、b1-2And b1
It can be obtained by factorial analysis.
Preferably, the preprocessing module is used to carry out inventor's profession qualification data and inventor's technological contribution data
Normalized；
Inventor's profession qualification data include: hygienic academic title X21, research system academic title X22It holds a post year with existing academic title
Limit X23, inventor's technological contribution data include the obtained technology correlation awards X of inventor24With inventor's patent owning amount X25；
First computing module is used to pass through formula f2-1(x)=c1X21+c2X22+c3X23Calculate inventor's profession money
Index is gone through, formula f is passed through2-2(x)=c4X24+c5X25Inventor's technological contribution index is calculated, and passes through formula f2(x)=
(b2-1f2-1+b2-2f2-2)/b2Technology first invention people's characteristic index is calculated, wherein c1、c2、c3、c4、c5、b2-1、b2-2And b2It can
It is obtained by factorial analysis.
Preferably, the preprocessing module is for being normalized technique factor data and patent factor data；
The technique factor data include: technology can not evading property X31, technology dependence X32It is difficult to determine with patent infringement
Easy degree X33, the patent factor data includes: patent right residue effective age X34, patent grant situation X35, patent distribution X36
With claim item number quantity X37；
First computing module is used to pass through formula f3-1(x)=d5X31+d6X32+d7X33Technique factor index is calculated,
Pass through formula f3-2(x)=d1X34+d2X35+d3X36+d4X37Patent factor index is calculated, and passes through formula f3(x)=(b3- 1f3-1+b3-2f3-2)/b3Technical quality index is calculated, wherein d1、d2、d3、d4、d5、d6、d7、b3-1、b3-2And b3The factor can be passed through
Analysis obtains.
Preferably, the preprocessing module is used for comprehensive hospital strength data, technical application foreground data and policy shadow
Force data is rung to be normalized；
The comprehensive hospital strength data include: hospital grade X41, hospital classification X42With hospital ranking X43；The technology
Application prospect data include: technology Related product using department X44With technology continuous updating trend X45, the policy effect number
According to including: technical application area X47With policy guidance X48；
First computing module is used to pass through formula f4-1(x)=e1X41+e2X42+e3X43Calculate comprehensive hospital strength
Index passes through formula f4-2(x)=e4X44+e5X45Technical application prospect index is calculated, formula f is passed through4-3(x)=e7X47+
e8X48Policy effect index is calculated, and passes through formula f4(x)=(b4-1f4-1+b4-2f4-2+b4-3f4-3)/b4Calculate technology
Conversion prospect index, wherein e1、e2、e3、e4、e5、e7、e8、b4-1、b4-2、b4-3And b4It can be obtained by factorial analysis.
Preferably, the technical application foreground data further include: technical maturity X46, first computing module is for leading to
Cross formula f4-2(x)=e4X44+e5X45+e6X46Calculate technical application prospect index, e6It can be obtained by factorial analysis.
Preferably, first computing module is used to pass through formula f (x)=g1f1(x)+g2f2(x)+g3f3(x)+g4f4(x)
Calculate medicine patented technology price index to be assessed, g1、g2、g3And g4It can be obtained by factorial analysis.
Preferably, g1=g2=g3=g4=0.25.
On the basis of common knowledge of the art, above-mentioned each optimum condition, can any combination to get each preferable reality of the present invention
Example.
The positive effect of the present invention is that:
The present invention provides a medicine patented technology price analysing system, it can be based on technology correlation Single diseases disease number
According to, technology first invention people characteristic, patent quality data and conversion foreground data, and combine existing patented technology price or
The invention further relates to clinical medicine patented technology calculation of price program, medicine patented technology price is provided, without excessively relying on
Subjective judgement.
Detailed description of the invention
Fig. 1 is the structural block diagram of the medicine patented technology price analysing system of present pre-ferred embodiments.
Fig. 2 is the flow chart of the medicine patented technology price analysing system of present pre-ferred embodiments.
Fig. 3 is the structural block diagram of the first computing module of present pre-ferred embodiments.
Fig. 4 is the acquisition flow chart of the assessment constant of present pre-ferred embodiments.
Fig. 5 is the Lg α data normal distribution curve figure of present pre-ferred embodiments.
Fig. 6 is that the coefficient of skewness of present pre-ferred embodiments and coefficient of kurtosis examine schematic diagram.
Fig. 7 is single sample K-S inspection result schematic diagram of present pre-ferred embodiments.
Fig. 8 is the Lg α data Q-Q inspection result schematic diagram of present pre-ferred embodiments.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
As shown in Figure 1, the present embodiment provides a kind of medicine patented technology price analysing systems comprising a history index number
According to library 1, a client index input module 2, an input pointer client database 3, a preprocessing module 4, an auditing module
5, one first computing module 6, one second computing module 7, one assessment constant calculations module 8 and an assessment result output module 9.
According to fig. 2, the implementation process of medicine patented technology price analysing system is specifically introduced.
History achievement data library 1 is for storing multiple medicine Transformation of Patents Technology real cases, the medicine patent
Technical transform real case include patented technology be directed to disease category, category disease disease extent of injury data and disease
Treatment cost data, inventor's profession qualification data, inventor's technological contribution data, technique factor data, patent factor data,
Comprehensive hospital strength data, technical application foreground data, policy implication force data and transfer price.
History achievement data library herein, disease extent of injury data include disease area illness rate, disease local death rate,
Disease whole world illness rate and the disease whole world death rate；Disease treatment cost data includes that disease average hospital days and disease are hospitalized
Time expense；Inventor's profession qualification data include hygienic academic title, research system academic title, existing the academic title tenure of first invention people
The time limit；Inventor's technological contribution data include the obtained technology correlation awards of inventor and inventor's patent owning amount；Technique factor
Data include patented technology can not evading property, technology dependence, patent infringement determine complexity；Patent factor data includes
Patent right residue effective age, patent grant situation, patent distribution and claim item number quantity；Comprehensive hospital strength data packet
Include the doctor according to the product judgement that patentee and technology are likely to form in patent document involved in medicine conversion real case
Institute-level other, hospital's classification, hospital's ranking；Technical application foreground data includes that technology Related product continues more using department, technology
New trend, technical maturity；Policy effect data include technical application area and policy guidance.
The client index input module 2 is used to be directed to specified disease classification (such as internal medicine, surgery, woman for user's input
Section and paediatrics etc.) medicine patented technology to be assessed index of correlation data information and store to input pointer client data
Library 3, index of correlation data information include medicine patented technology to be assessed be directed to disease category, category disease disease danger
Evil level data and disease treatment cost data, inventor's profession qualification data, inventor's technological contribution data, technique factor number
According to, patent factor data, comprehensive hospital strength data, technical application foreground data and policy implication force data.Further include: with
The index of correlation data information and the market price of the relevant existing similar medicine patented technology of medicine patented technology to be assessed
The preprocessing module 4 is for being normalized the original index data stored in database, preferably
The dimension to achievement data carry out unified, preferred disease area illness rate, disease local death rate, the illness of the disease whole world
Rate, the disease whole world death rate with 100,000/artificial dimension, as unit of day, disease is hospitalized time takes disease average hospital days
It is unit to ten thousand.
Part initial data is quantified, including the quantization for hygienic academic title, quantification manner preferably according to academic title's height,
Assign score value；Quantization for research system academic title or academic title, quantification manner preferably according to academic title's height, assign and dividing
Value；For inventing obtained technology correlation awards quantization, quantification manner preferably according to the height of awards rank, assigns score value；It is right
In inventing obtained technology correlation awards quantization, quantification manner preferably according to the height of awards rank, assigns score value；For technology
Can not evading property quantization, quantification manner preferably writes preciseness according to claims, assigns score value；For patent infringement
Determine the quantization of complexity, quantification manner is preferably write content according to specification and claims, sentenced according to infringement
Fixed complexity, including the evidence obtaining complexities such as program and research field, assign score value；For hospital or biological medicine enterprise
The quantization of rank, quantification manner preferably according to hospital or scope of the enterprise (large, medium and small or miniature), assign score value；For hospital
The quantization of classification or the type of business, quantification manner preferably according to Hospital Grade or enterprise nature, assign score value；For hospital or
The quantization of enterprise's ranking, quantification manner preferably according to hospital or registered enterprise fund situation, assign score value；Technology is continued
The quantization of more new trend, quantification manner is preferably according to the number of applications growth trend of the identical IPC of technical patent in recent years
Situation assigns score value；Quantization for technical maturity, quantification manner preferably according to conceptual phase, assign score value；For skill
The quantization in art application area, quantification manner preferably according to technology use scope, assign score value；Quantization for policy guidance,
Quantification manner preferably declares the supervisory level in classified catalogue according to the corresponding medical instrument of patented technology or drug, assigns
Score value.
Whenever part index number data mark starts one new medicine patented technology of assessment, first according to client
The indication information of index input system typing, by " technology correlation Single diseases disease data module ", " technology first invention people's feature
The initial data of data module ", " patent quality data module " and " conversion foreground data module " four module is updated to backstage
History achievement data library is based on updated history achievement data library, and the index for needing to update markization standard includes: doctor's duty
Title, research system academic title, the existing academic title tenure time limit, the obtained technology correlation awards of invention, patent of invention owning amount, patent right are surplus
Remaining effective age (moon), patent grant situation (containing transfer the possession of), patent distribution, claim item number quantity, hospital/enterprise level,
Hospital's classification/the type of business, hospital and enterprise's ranking, technology Related product apply department, technology continuous updating trend and technology
Using area, the update mode of markization standard is preferably through the average for updating These parameters, after These parameters are by updating
Mean be standardized.
The auditing module 5 in medicine patented technology to be assessed for there are existing similar medicine patented technology and having
When the market price of existing similar medicine patented technology, which is audited, audit by when call first meter
It calculates module 6 and calculates existing similar medicine patented technology price index, call the second computing module 7 according to existing similar medicine patent
The proportionate relationship and medicine patent skill to be assessed of the market price of technical price index and existing similar medicine patented technology
Art price index calculates the price of medicine patented technology to be assessed；When the audit fails, it is special to have similar medicine for retrieval
The real price of sharp technology calls the first computing module 6 to calculate existing similar medicine patented technology price index, calls the second meter
Module 7 is calculated according to the ratio of existing similar medicine patented technology price index and the real price of existing similar medicine patented technology
Relationship and medicine patented technology price index to be assessed calculate the price of medicine patented technology to be assessed.
The auditing module 5 is also used to call 7 basis of the second computing module in no existing similar medicine patented technology
Medicine patented technology price index and assessment constant calculate the price of medicine patented technology to be assessed.That is Y (medicine patent skill
Art price)=α X (medicine patented technology price index), wherein α is assessment constant.
First computing module 6 according to the data that each medicine Transformation of Patents Technology real case includes for calculating
The corresponding medicine patented technology price index of medicine Transformation of Patents Technology real case.
Preferably, as shown in figure 3, first computing module 6 includes technology correlation Single diseases disease data module, technology
First invention people's characteristic module, patent quality data module and conversion foreground data module.
Technology correlation Single diseases disease data module includes disease extent of injury data submodule and disease treatment cost number
According to submodule, technology first invention people's characteristic module include inventor's profession qualification data submodule and inventor's technology at
With regard to data submodule, patent quality data module includes technique factor data submodule and patent factor data submodule, conversion
Foreground data module includes comprehensive hospital strength data submodule, technical application foreground data submodule and policy implication force data
Submodule.
Disease extent of injury data include: disease area illness rate X11, disease local death rate X12, the illness of the disease whole world
Rate X13With disease whole world death rate X14, the disease treatment cost data includes: disease average hospital days X15It is hospitalized with disease
Time expense X16。
Disease extent of injury data submodule is used to pass through formula f1-1(x)=a1X11+a2X12+a3X13+a4X14Calculate disease
It is critically ill harmful extent index, disease treatment cost data submodule is used to pass through formula f1-2(x)=a5X15+a6X16Calculate disease
Treatment cost index, technology correlation Single diseases disease data module are used to pass through formula f1(x)=(b1-1f1-1+b1-2f1-2)/b1Meter
Calculating technology correlation Single diseases disease index, wherein a1、a2、a3、a4、a5、a6、b1-1、b1-2And b1It can be obtained by factorial analysis.
Inventor's profession qualification data include: hygienic academic title X21, research system academic title X22With the existing academic title tenure time limit
X23, inventor's technological contribution data include the obtained technology correlation awards X of inventor24With inventor's patent owning amount X25。
Inventor's profession qualification data submodule is used to pass through formula f2-1(x)=c1X21+c2X22+c3X23Calculate invention
People's profession qualification index, inventor's technological contribution data submodule are used to pass through formula f2-2(x)=c4X24+c5X25Calculating is set out
Bright people's technological contribution index, technology first invention people's characteristic module are used to pass through formula f2(x)=(b2-1f2-1+b2- 2f2-2)/b2Technology first invention people's characteristic index is calculated, wherein c1、c2、c3、c4、c5、b2-1、b2-2And b2Factor minute can be passed through
Analysis obtains.
Technique factor data include: technology can not evading property X31, technology dependence X32Difficulty or ease journey is determined with patent infringement
Spend X33, the patent factor data includes: patent right residue effective age X34, patent grant situation X35, patent distribution X36And power
Benefit requires item number quantity X37。
Technique factor data submodule is used to pass through formula f3-1(x)=d5X31+d6X32+d7X33Technique factor is calculated to refer to
Number, patent factor data submodule are used to pass through formula f3-2(x)=d1X34+d2X35+d3X36+d4X37The patent factor is calculated to refer to
Number, patent quality data module are used to pass through formula f3(x)=(b3-1f3-1+b3-2f3-2)/b3Technical quality index is calculated,
Middle d1、d2、d3、d4、d5、d6、d7、b3-1、b3-2And b3It can be obtained by factorial analysis.
Preferably, the comprehensive hospital strength data include: hospital grade X41, hospital classification X42With hospital ranking X43；Institute
Stating technical application foreground data includes: technology Related product using department X44, technology continuous updating trend X45And technical maturity
X46, the policy effect data include: technical application area X47With policy guidance X48；
Comprehensive hospital strength data submodule is used to pass through formula f4-1(x)=e1X41+e2X42+e3X43It is comprehensive to calculate hospital
Potential index is closed, technical application foreground data submodule is used to pass through formula f4-2(x)=e4X44+e5X45+e6X46Calculate technology
Applied prospect coefficient, policy implication force data submodule are used to pass through formula f4-3(x)=e7X47+e8X48Calculate policy implication
Power index, conversion foreground data module are used to pass through formula f4(x)=(b4-1f4-1+b4-2f4-2+b4-3f4-3)/b4Calculate technology
Conversion prospect index, wherein e1、e2、e3、e4、e5、e6、e7、e8、b4-1、b4-2、b4-3And b4It can be obtained by factorial analysis.
First computing module 6 is used to pass through formula f (x)=g1f1(x)+g2f2(x)+g3f3(x)+g4f4(x) it calculates
Medicine patented technology price index to be assessed, g1、g2、g3And g4It can be obtained by factorial analysis, g1=g2=g3=g4=
0.25。
As shown in figure 4, the assessment constant calculations module 8 is used for the practical medical conversion case by backstage historical data base
Example analyzes related patented technology, is based on medicine patented technology price index acquisition methods of the present invention, obtains many cases
It is related to the price index of patented technology, and by between the practical conversion price of related patented technology and its price index
Dependent equation obtains one group of medicine price of patent assessment constant data, and preferred dependent equation is linear equation, i.e. (medicine is special by α
Sharp price evaluation constant)=Y (medicine patented technology real price)/X (medicine patented technology price index), pair of preferred α
Number value, i.e. Lg α meet normal distribution.For example, the present invention converts real case with many cases, one group of value of α is obtained, and test
Card Lg α meets normal distribution:
Check system one: the coefficient of skewness and coefficient of kurtosis are examined.
Fig. 5, horizontal axis are variable, and the longitudinal axis is frequency, are as can be seen from the figure like just according to the curve that histogram is drawn
State distribution curve is examined by the coefficient of skewness and coefficient of kurtosis, as seen from Figure 6, the coefficient of skewness=0.54；Coefficient of kurtosis
Kurtosis=0.50；Two coefficients are both less than 1, it is believed that are similar to normal distribution.
Check system two: single sample K-S is examined
It can be seen from figure 7 that in K-S inspection, P value Sig. (2-tailed)=0.181 > 0.05, therefore data are in close
Like normal distribution.
The figure of check system three: Q-Q is examined
As can be seen from Figure 8, in QQ Plot, each point illustrates data in approximate normal distribution approximately about straight line.
Although specific embodiments of the present invention have been described above, it will be appreciated by those of skill in the art that these
It is merely illustrative of, protection scope of the present invention is defined by the appended claims.Those skilled in the art is not carrying on the back
Under the premise of from the principle and substance of the present invention, many changes and modifications may be made, but these are changed
Protection scope of the present invention is each fallen with modification.
Claims (10)
1. a kind of medicine patented technology price analysing system, which is characterized in that it includes a history achievement data library, a client
Index input module, an input pointer client database, one first computing module, one second computing module and an assessment result
Output module；
History achievement data library turns for storing multiple medicine Transformation of Patents Technology real cases, the medicine patented technology
Change real case include patented technology be directed to disease category, category disease disease extent of injury data and disease treatment at
Notebook data, inventor's profession qualification data, inventor's technological contribution data, technique factor data, patent factor data, hospital are comprehensive
Close strength data, technical application foreground data, policy implication force data and transfer price；
The client index input module is used to be directed to the medicine patent skill to be assessed of specified disease classification for user's input
The index of correlation data information of art is simultaneously stored to input pointer client database, and index of correlation data information includes to be assessed
The disease extent of injury data and disease treatment cost data of disease category, category disease that medicine patented technology is directed to, hair
Bright people's profession qualification data, inventor's technological contribution data, technique factor data, patent factor data, comprehensive hospital strength number
According to, technical application foreground data and policy implication force data；
First computing module is used for disease extent of injury data and disease treatment according to medicine patented technology to be assessed
Cost calculation goes out technology correlation Single diseases disease data, according to inventor's profession qualification data and inventor's technological contribution data meter
Calculating technology first invention people's characteristic, calculates technical quality data according to technique factor data and patent factor data,
Technical transform foreground data is calculated according to comprehensive hospital strength data, technical application foreground data and policy implication force data,
And according to calculated technology correlation Single diseases disease data, technology first invention people characteristic, technical quality data and skill
Art conversion foreground data calculates medicine patented technology price index；
Second computing module is for calculating medicine patented technology to be assessed according to medicine patented technology price index
Price or Price Range；
The assessment result output module is used to export the price of medicine patented technology to be assessed.
2. medicine patented technology price analysing system as described in claim 1, which is characterized in that the system also includes the first sentences
Core module, the index of correlation data information further include existing similar medicine patent relevant to medicine patented technology to be assessed
The index of correlation data information and the market price of technology,
The auditing module is used in medicine patented technology to be assessed there are existing similar medicine patented technology and with existing
When the market price of similar medicine patented technology, which is audited, audit by when call first calculate mould
Block calculates existing similar medicine patented technology price index, calls the second computing module according to existing similar medicine patented technology valence
The proportionate relationship and medicine patented technology price to be assessed of the market price of grid index and existing similar medicine patented technology
Index calculates the price of medicine patented technology to be assessed；
When the audit fails, retrieval has the real price of similar medicine patented technology, calls the first computing module to calculate existing
Have a similar medicine patented technology price index, call the second computing module according to existing similar medicine patented technology price index and
The proportionate relationship of the real price of existing similar medicine patented technology and medicine patented technology price index to be assessed calculate
The price of medicine patented technology to be assessed out；
The auditing module in no existing similar medicine patented technology for calling the second computing module according to medicine patent
Technical price index and assessment constant calculate the price of medicine patented technology to be assessed.
3. medicine patented technology price analysing system as claimed in claim 2, which is characterized in that the system also includes assessments
Constant calculations module；
First computing module is used to calculate the doctor according to the data that each medicine Transformation of Patents Technology real case includes
Learn the corresponding medicine patented technology price index of Transformation of Patents Technology real case；
The assessment constant calculations module be used for according to the corresponding transfer price of each medicine Transformation of Patents Technology real case and
The radiometer of medicine patented technology price index calculates corresponding assessment constant；
Second computing module be used for according to medicine patented technology price index and assess constant be multiplied calculate it is to be assessed
The price of medicine patented technology.
4. medicine patented technology price analysing system as described in claim 1, which is characterized in that pre- the system also includes one
Processing module, the preprocessing module is for being normalized place to disease extent of injury data and disease treatment cost data
Reason；
The disease extent of injury data include: disease area illness rate X11, disease local death rate X12, disease whole world illness rate
X13With disease whole world death rate X14, the disease treatment cost data includes: disease average hospital days X15It is equal in hospital with disease
Secondary expense X16；
First computing module is used to pass through formula f1-1(x)=a1X11+a2X12+a3X13+a4X14Calculate the disease extent of injury
Index passes through formula f1-2(x)=a5X15+a6X16Disease treatment cost index is calculated, and passes through formula f1(x)=(b1-1f1-1
+b1-2f1-2)/b1Technology correlation Single diseases disease index is calculated, wherein a1、a2、a3、a4、a5、a6、b1-1、b1-2And b1It can pass through
Factorial analysis obtains.
5. medicine patented technology price analysing system as claimed in claim 4, which is characterized in that the preprocessing module is used for
Inventor's profession qualification data and inventor's technological contribution data are normalized；
Inventor's profession qualification data include: hygienic academic title X21, research system academic title X22With the existing academic title tenure time limit
X23, inventor's technological contribution data include the obtained technology correlation awards X of inventor24With inventor's patent owning amount X25；
First computing module is used to pass through formula f2-1(x)=c1X21+c2X22+c3X23Inventor's profession qualification is calculated to refer to
Number, passes through formula f2-2(x)=c4X24+c5X25Inventor's technological contribution index is calculated, and passes through formula f2(x)=(b2-1f2-1
+b2-2f2-2)/b2Technology first invention people's characteristic index is calculated, wherein c1、c2、c3、c4、c5、b2-1、b2-2And b2Can pass through because
Son analysis obtains.
6. medicine patented technology price analysing system as claimed in claim 5, which is characterized in that the preprocessing module is used for
Technique factor data and patent factor data are normalized；
The technique factor data include: technology can not evading property X31, technology dependence X32Difficulty or ease journey is determined with patent infringement
Spend X33, the patent factor data includes: patent right residue effective age X34, patent grant situation X35, patent distribution X36And power
Benefit requires item number quantity X37；
First computing module is used to pass through formula f3-1(x)=d5X31+d6X32+d7X33Technique factor index is calculated, is passed through
Formula f3-2(x)=d1X34+d2X35+d3X36+d4X37Patent factor index is calculated, and passes through formula f3(x)=(b3-1f3-1+
b3-2f3-2)/b3Technical quality index is calculated, wherein d1、d2、d3、d4、d5、d6、d7、b3-1、b3-2And b3Factorial analysis can be passed through
It obtains.
7. medicine patented technology price analysing system as claimed in claim 6, which is characterized in that the preprocessing module is used for
Comprehensive hospital strength data, technical application foreground data and policy implication force data are normalized；
The comprehensive hospital strength data include: hospital grade X41, hospital classification X42With hospital ranking X43；The technical application
Foreground data includes: technology Related product using department X44With technology continuous updating trend X45, the policy effect data packet
It includes: technical application area X47With policy guidance X48；
First computing module is used to pass through formula f4-1(x)=e1X41+e2X42+e3X43Comprehensive hospital potential index is calculated,
Pass through formula f4-2(x)=e4X44+e5X45Technical application prospect index is calculated, formula f is passed through4-3(x)=e7X47+e8X48It calculates
Policy effect index out, and pass through formula f4(x)=(b4-1f4-1+b4-2f4-2+b4-3f4-3)/b4Calculate technical transform prospect
Index, wherein e1、e2、e3、e4、e5、e7、e8、b4-1、b4-2、b4-3And b4It can be obtained by factorial analysis.
8. medicine patented technology price analysing system as claimed in claim 7, which is characterized in that the technical application prospect number
According to further include: technical maturity X46, first computing module is for passing through formula f4-2(x)=e4X44+e5X45+e6X46It calculates
Technical application prospect index out, e6It can be obtained by factorial analysis.
9. medicine patented technology price analysing system as claimed in claim 7, which is characterized in that first computing module is used
In pass through formula f (x)=g1f1(x)+g2f2(x)+g3f3(x)+g4f4(x) medicine patented technology price to be assessed is calculated to refer to
Number, g1、g2、g3And g4It can be obtained by factorial analysis.
10. medicine patented technology price analysing system as claimed in claim 9, which is characterized in that g1=g2=g3=g4=
0.25。
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| CN201810797287.3A CN109146247A (en) | 2018-07-19 | 2018-07-19 | Medicine patented technology price analysing system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810797287.3A CN109146247A (en) | 2018-07-19 | 2018-07-19 | Medicine patented technology price analysing system |
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