CN109599170A - Medical management method and system based on big data - Google Patents
Medical management method and system based on big data Download PDFInfo
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- CN109599170A CN109599170A CN201811478611.1A CN201811478611A CN109599170A CN 109599170 A CN109599170 A CN 109599170A CN 201811478611 A CN201811478611 A CN 201811478611A CN 109599170 A CN109599170 A CN 109599170A
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- 238000007726 management method Methods 0.000 title claims abstract description 42
- 239000003814 drug Substances 0.000 claims abstract description 308
- 229940079593 drug Drugs 0.000 claims abstract description 301
- 238000004590 computer program Methods 0.000 claims description 28
- 238000013475 authorization Methods 0.000 claims description 8
- 239000000203 mixture Substances 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 abstract description 8
- 238000004458 analytical method Methods 0.000 description 9
- 238000007405 data analysis Methods 0.000 description 6
- 238000011161 development Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 206010019345 Heat stroke Diseases 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000013523 data management Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 229940127554 medical product Drugs 0.000 description 2
- 206010013700 Drug hypersensitivity Diseases 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 201000005311 drug allergy Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012797 qualification Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
Abstract
The invention discloses medical management methods and system based on big data, comprising steps of client receives drug statistics request, drug statistics request is sent to server-side；Server-side receives drug statistics request, obtain the current health archive information that drug to be counted is used within the current preset time, current medical use information and drug usage trend information are obtained, current medical service condition and drug usage trend information are back to client；Client receives current medical use information and drug usage trend information, obtains next drug use information in next preset time；The present invention passes through after obtaining next drug use information, thus medical institutions can plan as a whole the medication amount for needing to purchase in next preset time, thus drug and medical device manufacturers can plan as a whole the production and selling needed in next preset time, to realize scientific, the efficient and maximum resource utilization of medicine management.
Description
Technical field
The present invention relates to medical fields, in particular to medical management method and system based on big data.
Background technique
As the booming and people of China market economy increase sharply to medical product demand, pharmaceuticals industry is just located
In the period of a high speed development.The aggravation that the fast development of industry necessarily constitutes competition, in fierce market competition
Seeking development objectively requires enterprise that must enhance internal management, and improves efficiency of operation.In addition, since medical product type is numerous
It is more, sales mode is special, portfolio is big, only according to by hand book keeping operation be difficult adapt to requirements of one's work.Medicine is related to as one
The industry of health of people, country have some management policies different from other industry to pharmaceuticals industry again, these all increase pipe
The difficulty of reason.
How to establish and improve as early as possible the information system management mechanism problem of modern enterprise, it has also become the pass of pharmaceutical manufacturer's development
Where key.
Summary of the invention
The technical problems to be solved by the present invention are: medical management method and system based on big data are provided, it can be right
Realize scientific, the efficient and maximum resource utilization of medicine management.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention are as follows:
Medical management method based on big data, comprising steps of
S1, client receive drug statistics request, and drug statistics request is sent to server-side, the drug statistics
Request includes drug to be counted；
S2, server-side receive the drug statistics request, obtain and use the drug to be counted within the current preset time
Current health archive information, obtain current medical use information and drug usage trend information, the current medical used
Situation and drug usage trend information are back to client, and the drug usage trend information is to use in next preset time
The growth trend of the drug to be counted；
S3, client receive the current medical use information and drug usage trend information, obtain next preset time
Interior next drug use information.
In order to solve the above-mentioned technical problem, the another technical solution that the present invention uses are as follows:
Medicine Management System based on big data, including client and server-side, the client include first memory,
First processor and storage on the first memory and the first computer program that can be run on first processor, the service
End is including second memory, second processor and is stored in the can run on second memory and in second processor second meter
Calculation machine program, the first processor perform the steps of when executing first computer program
S1, drug statistics request is received, drug statistics request is sent to server-side, the drug counts request packet
Include drug to be counted；
S3, the current medical use information and drug usage trend information are received, under obtaining in next preset time
One drug use information；
The second processor performs the steps of when executing the second computer program
S2, the drug statistics request is received, obtained within the current preset time using the current of the drug to be counted
Health account information obtains current medical use information and drug usage trend information, by the current medical service condition and
Drug usage trend information is back to client, the drug usage trend information be in next preset time using it is described to
Count the growth trend of drug.
The beneficial effects of the present invention are: medical management method and system based on big data, server-side receive client
The drug of transmission counts request, obtains the current health archive information for using drug to be counted within the current preset time, obtains
Current medical use information and drug usage trend information, current medical service condition and drug usage trend information are back to
Client enables a client to be obtained according to the current medical use information and drug usage trend information that receive next pre-
If next drug use information in the time, after obtaining next drug use information, thus medical institutions can plan as a whole under
When the medication amount for needing to purchase in one preset time, drug and medical device manufacturers can plan as a whole next default thus
The interior production and selling needed, to realize scientific, the efficient and maximum resource utilization of medicine management.
Detailed description of the invention
Fig. 1 is the flow diagram of the medical management method based on big data of the embodiment of the present invention；
Fig. 2 is the structural schematic diagram of the Medicine Management System based on big data of the embodiment of the present invention.
Label declaration:
1, based on the Medicine Management System of big data；2, client；3, first processor；4, first memory；5, it services
End；6, second processor；7, second memory.
Specific embodiment
To explain the technical content, the achieved purpose and the effect of the present invention in detail, below in conjunction with embodiment and cooperate attached
Figure is explained.
The most critical design of the present invention is: being obtained down according to current medical use information and drug usage trend information
Next drug use information in one preset time.
Fig. 1 is please referred to, the medical management method based on big data, comprising steps of
S1, client receive drug statistics request, and drug statistics request is sent to server-side, the drug statistics
Request includes drug to be counted；
S2, server-side receive the drug statistics request, obtain and use the drug to be counted within the current preset time
Current health archive information, obtain current medical use information and drug usage trend information, the current medical used
Situation and drug usage trend information are back to client, and the drug usage trend information is to use in next preset time
The growth trend of the drug to be counted；
S3, client receive the current medical use information and drug usage trend information, obtain next preset time
Interior next drug use information.
As can be seen from the above description, the beneficial effects of the present invention are: server-side receives the drug statistics that client is sent and asks
It asks, obtains the current health archive information for using drug to be counted within the current preset time, obtain current medical use information
With drug usage trend information, current medical service condition and drug usage trend information are back to client, so that client
End can obtain next in next preset time according to the current medical use information and drug usage trend information received
Drug use information, after obtaining next drug use information, thus medical institutions can plan as a whole next preset time domestic demand
Thus the medication amount to be purchased, drug and medical device manufacturers can plan as a whole the production needed in next preset time
And sale, to realize scientific, the efficient and maximum resource utilization of medicine management.
Further, the drug usage trend information in the step S2 is generated specifically:
Server-side obtains the second health account information that the drug to be counted is used in last year same preset time, from
The second health account information obtains the first past drug use information；
Server-side obtains the third health account information for using the drug to be counted in a preset time under last year, from
The third health account information obtains the second past drug use information；
Server-side obtains described according to the first past drug use information and the second past drug use information
Drug usage trend information.
As can be seen from the above description, the drug of the different times in 1 year is larger using fluctuating, treated when weather turns cold
The drug of chill can obviously increase, and the drug for the treatment of heatstroke can obviously increase when weather turns heat, existing according to upper one
Speculate month with the trend in this month the drug service condition of next month there is a problem that it is above-mentioned, so the technical program passes through
The drug usage trend information of last year contemporaneity is judged come come the drug service condition that speculates next preset time, due to each
The weather of the contemporaneity in year is consistent substantially, so more accurate next drug use information can be obtained.
Further, the drug usage trend information in the step S2 is generated specifically:
Server-side obtains health care project associated with the drug to be counted from the current health archive information,
The par that each health care project uses the drug to be counted is counted, project medication quantity table is obtained；
Growth of the server-side statistics health care project associated with the drug to be counted in next preset time
Trend obtains project tendency information, obtains drug use with the project tendency information according to the project medication quantity table and becomes
Gesture information.
As can be seen from the above description, the considerations of including to season in project tendency information, meanwhile, project tendency information
Hospital is considered situations such as being expanded or reduced as personnel, hospital bed, the next drug for capableing of the more acurrate next preset time of prediction makes
Use information.
Further, the step S1 specifically:
Client receives drug statistics request, obtains the identity information of current logon account, the identity information is sent
To server-side, the identity information includes identity identification information and identity ciphering information；
Server-side receives identity information, is decrypted to the identity ciphering information, obtains data field to be verified, judges
Whether the data field to be verified belongs to the matched personal information of the identity identification information institute, described current if belonging to
The identity information of logon account is legal；
Server-side obtains identity authority information corresponding to the identity identification information, judges the current logon account
Whether identity authority information is the authorized user of the drug to be counted, if so, returning allows to count drug information, otherwise returns
Returning does not allow to count drug information；
Drug statistics request is sent to server-side by client, and the drug statistics request includes drug to be counted；
The identity ciphering information specifically:
S01, client obtain identity registration information and the confidential information to be added including at least one private information, and by institute
It states identity registration information and confidential information to be added is sent to server-side, the confidential information to be added is that user's selection is used to encrypt
People's information, the personal information include that user authorizes non-private information disclosed in disclosed private information and system authorization；
S02, server-side choose at least one data field composition from each personal information of the confidential information to be added
Be-encrypted data encrypts the be-encrypted data, generates the identity ciphering to match with the identity registration information and believes
Breath, and the identity ciphering information is back to client；
S03, client receive the identity ciphering information, and display is succeeded in registration, and the identity registration information is identity
Identification information.
As can be seen from the above description, confidential information to be added is selected by user, including at least one private information, private information
It will not reduce what confidential information to be added was known in advance acquired in the other users in system in the case where non-user authorization
Risk, when being encrypted, server-side only selects part of data field to form be-encrypted data, in identity identification information
In the case where illegally being known by other people, since the identity ciphering information of different user is different, illegal person is set in different terminals
When standby upper use identity identification information is logged in, it can not be verified, to further ensure the safety of account.
Further, in the step S02 server-side chosen from each personal information of the confidential information to be added to
Few one data word section forms be-encrypted data specifically:
Server-side generates the consistent interception sequence of number with personal information in confidential information to be added, the interception at random
Sequence includes interception initial position and the intercepted length of each personal information, according to the interception sequence successively to it is described to
Personal information is intercepted to form be-encrypted data in encryption information.
As can be seen from the above description, as can be seen from the above description, the interception of data field generates at random, to avoid server-side
Interception rule leakage of data event caused when being illegally accessed.
As shown in Fig. 2, the Medicine Management System based on big data, including client and server-side, the client include
First memory, first processor and storage are on the first memory and the first computer journey that can run on first processor
Sequence, the server-side include second memory, second processor and are stored on second memory and can be in second processor
The second computer program of operation, the first processor perform the steps of when executing first computer program
S1, drug statistics request is received, drug statistics request is sent to server-side, the drug counts request packet
Include drug to be counted；
S3, the current medical use information and drug usage trend information are received, under obtaining in next preset time
One drug use information；
The second processor performs the steps of when executing the second computer program
S2, the drug statistics request is received, obtained within the current preset time using the current of the drug to be counted
Health account information obtains current medical use information and drug usage trend information, by the current medical service condition and
Drug usage trend information is back to client, the drug usage trend information be in next preset time using it is described to
Count the growth trend of drug.
As can be seen from the above description, the beneficial effects of the present invention are: server-side receives the drug statistics that client is sent and asks
It asks, obtains the current health archive information for using drug to be counted within the current preset time, obtain current medical use information
With drug usage trend information, current medical service condition and drug usage trend information are back to client, so that client
End can obtain next in next preset time according to the current medical use information and drug usage trend information received
Drug use information, after obtaining next drug use information, thus medical institutions can plan as a whole next preset time domestic demand
Thus the medication amount to be purchased, drug and medical device manufacturers can plan as a whole the production needed in next preset time
And sale, to realize scientific, the efficient and maximum resource utilization of medicine management.
Further, in order to generate in the step S2 when second processor executes the second computer program
Drug usage trend information also performs the steps of
The second health account information that the drug to be counted is used in last year same preset time is obtained, from described the
Two health account information obtain the first past drug use information；
The third health account information for using the drug to be counted in a preset time under last year is obtained, from described the
Three health account information obtain the second past drug use information；
Obtaining the drug with the second past drug use information according to the first past drug use information makes
Use tendency information.
As can be seen from the above description, the drug of the different times in 1 year is larger using fluctuating, treated when weather turns cold
The drug of chill can obviously increase, and the drug for the treatment of heatstroke can obviously increase when weather turns heat, existing according to upper one
Speculate month with the trend in this month the drug service condition of next month there is a problem that it is above-mentioned, so the technical program passes through
The drug usage trend information of last year contemporaneity is judged come come the drug service condition that speculates next preset time, due to each
The weather of the contemporaneity in year is consistent substantially, so more accurate next drug use information can be obtained.
Further, the drug in the step S2 is generated when second processor executes the second computer program
Usage trend information also performs the steps of
Health care project associated with the drug to be counted is obtained from the current health archive information, statistics is every
One health care project uses the par of the drug to be counted, obtains project medication quantity table；
Growth trend of the health care project associated with the drug to be counted in next preset time is counted, is obtained
To project tendency information, drug usage trend information is obtained according to the project medication quantity table and the project tendency information.
As can be seen from the above description, the considerations of including to season in project tendency information, meanwhile, project tendency information
Hospital is considered situations such as being expanded or reduced as personnel, hospital bed, the next drug for capableing of the more acurrate next preset time of prediction makes
Use information.
Further, in the step S1, realized when the first processor executes first computer program with
Lower step:
Drug statistics request is received, the identity information of current logon account is obtained, the identity information is sent to service
End, the identity information includes identity identification information and identity ciphering information；
Drug statistics request is sent to server-side, the drug statistics request includes drug to be counted；
In the step S1, it is performed the steps of when the second processor executes the second computer program
Receive identity information, the identity ciphering information be decrypted, obtain data field to be verified, judgement it is described to
Whether verify data field belongs to the matched personal information of the identity identification information institute, if belonging to, the current login account
The identity information at family is legal；
Identity authority information corresponding to the identity identification information is obtained, judges the rights relating the person of the current logon account
Whether limit information is the authorized user of the drug to be counted, if so, returning allows to count drug information, otherwise returns and does not permit
Perhaps drug information is counted；
It generates in the identity ciphering information, the first processor is realized following when executing first computer program
Step:
S01, identity registration information and the confidential information to be added including at least one private information are obtained, and by the identity
Registration information and confidential information to be added are sent to server-side, and the confidential information to be added is the personal letter that user's selection is used to encrypt
Breath, the personal information include that user authorizes non-private information disclosed in disclosed private information and system authorization；
S03, receive the identity ciphering information, display is succeeded in registration, and the identity registration information is identification letter
Breath；
It generates in the identity ciphering information, the second processor is realized following when executing the second computer program
Step:
S02, chosen from each personal information of the confidential information to be added at least one data field composition it is to be encrypted
Data encrypt the be-encrypted data, generate the identity ciphering information to match with the identity registration information, and will
The identity ciphering information is back to client.
As can be seen from the above description, confidential information to be added is selected by user, including at least one private information, private information
It will not reduce what confidential information to be added was known in advance acquired in the other users in system in the case where non-user authorization
Risk, when being encrypted, server-side only selects part of data field to form be-encrypted data, in identity identification information
In the case where illegally being known by other people, since the identity ciphering information of different user is different, illegal person is set in different terminals
When standby upper use identity identification information is logged in, it can not be verified, to further ensure the safety of account.
Further, at least one is chosen from each personal information of the confidential information to be added in the step S02
Data field forms be-encrypted data specifically:
It is random to generate a consistent interception sequence of number with personal information in confidential information to be added, the interception sequence packet
Interception initial position and the intercepted length for including each personal information, according to the interception sequence successively to the secret letter to be added
Personal information is intercepted to form be-encrypted data in breath.
As can be seen from the above description, as can be seen from the above description, the interception of data field generates at random, to avoid server-side
Interception rule leakage of data event caused when being illegally accessed.
Please refer to Fig. 1, the embodiment of the present invention one are as follows:
Medical management method based on big data, comprising steps of
S1, client receive drug statistics request, drug statistics request are sent to server-side, drug statistics request includes
Drug to be counted；
S2, server-side receive drug statistics request, obtain within the current preset time using the current strong of drug to be counted
Health archive information obtains current medical use information and drug usage trend information, current medical service condition and drug is made
It is back to client with tendency information, drug usage trend information is that the increase and decrease of drug to be counted is used in next preset time
Trend；
S3, client receive current medical use information and drug usage trend information, obtain in next preset time
Next drug use information.
Wherein, the drug usage trend information in generation step S2 specifically:
S211, server-side obtain the second health account information that drug to be counted is used in last year same preset time,
The first past drug use information is obtained from the second health account information；
S212, server-side obtain the third health account information for using drug to be counted in a preset time under last year,
The second past drug use information is obtained from third health account information；
S213, server-side obtain drug with the second past drug use information according to the first past drug use information and use
Tendency information.
Wherein, step S1 specifically:
S11, client receive drug statistics request, obtain the identity information of current logon account, identity information is sent
To server-side, identity information includes identity identification information and identity ciphering information；
S12, server-side receive identity information, are decrypted to identity ciphering information, obtain data field to be verified, judge
Whether data field to be verified belongs to the matched personal information of identity identification information institute, if belonging to, the body of current logon account
Part information is legal；
S13, server-side obtain identity authority information corresponding to identity identification information, judge the identity of current logon account
Whether authority information is the authorized user of drug to be counted, if so, returning allows to count drug information, otherwise returning does not allow
Count drug information；
Drug statistics request is sent to server-side by S14, client, and drug statistics request includes drug to be counted；
Wherein, identity ciphering information specifically:
S01, client obtain identity registration information and the confidential information to be added including at least one private information, and by body
Part registration information and confidential information to be added are sent to server-side, and confidential information to be added is the personal information that user's selection is used to encrypt,
Personal information includes that user authorizes non-private information disclosed in disclosed private information and system authorization；
It is to be added that S02, server-side choose at least one data field composition from each personal information of confidential information to be added
Ciphertext data encrypts be-encrypted data, generates the identity ciphering information to match with identity registration information, and identity is added
Confidential information is back to client, in the present embodiment, chooses at least one number from each personal information of confidential information to be added
According to field form be-encrypted data specifically: server-side generate at random one it is consistent with the number of personal information in confidential information to be added
Interception sequence, interception sequence include each personal information interception initial position and intercepted length, according to interception sequence
Personal information in encryption information is successively treated to be intercepted to form be-encrypted data；
S03, client receive identity ciphering information, and display is succeeded in registration, and identity registration information is identity identification information.
In the present embodiment, the authorized user of drug to be counted refers to: if current logon account is medical institutions, only permitting
Perhaps it obtains in the used drug data of medical institutions, if current logon account is drug and medical instrument enterprise, only allows
In the drug data of drug and the production of medical instrument enterprise.
Please refer to Fig. 1, the embodiment of the present invention two are as follows:
Medical management method based on big data, on the basis of the above embodiment 1, by the drug in generation step S2
The replacement of usage trend information are as follows:
S221, server-side obtain health care project associated with drug to be counted from current health archive information, system
The par that each health care project uses drug to be counted is counted, project medication quantity table is obtained；
S222, server-side count growth of the health care project associated with drug to be counted in next preset time
Trend obtains project tendency information, obtains drug usage trend information according to project medication quantity table and project tendency information.
Please refer to Fig. 1, the embodiment of the present invention three are as follows:
Medical management method based on big data, on the basis of the above embodiment 1, the drug in generation step S2 makes
It is replaced with tendency information are as follows:
S231, server-side obtain the second health account information that drug to be counted is used in last year same preset time,
The first past drug use information is obtained from the second health account information；
S232, server-side obtain the third health account information for using drug to be counted in a preset time under last year,
The second past drug use information is obtained from third health account information；
S233, server-side are according to the first past drug use information and the second past drug use information drug of obtaining over
Usage trend information；
S234, server-side obtain health care project associated with drug to be counted from current health archive information, system
The par that each health care project uses drug to be counted is counted, project medication quantity table is obtained；
S235, server-side count growth of the health care project associated with drug to be counted in next preset time
Trend obtains project tendency information, obtains project drug usage trend letter according to project medication quantity table and project tendency information
Breath；
S236, server-side return to drug usage trend information and project drug usage trend information in the past.
In the present embodiment, two can be generated according to past drug usage trend information and project drug usage trend information
Next drug use information, voluntarily selects for user on the client.
Referring to figure 2., the embodiment of the present invention four are as follows:
Medicine Management System 1 based on big data, including client 2 and server-side 5, client 2 include first memory
4, first processor 3 and it is stored in the first computer program that can be run on first memory 4 and on first processor 3, taken
Business end 5 includes second memory 7, second processor 6 and is stored on second memory 7 and can run in second processor 6
Second computer program, first processor 3 realized when executing the first computer program in step S1 in above-described embodiment one
Step S11, step S14, step S3, step S01 and step S03；On when the execution second computer program of second processor 6
State step S12, step S13, step S2, step S211 to step 213 and the step S02 in the step S1 in embodiment one.
For server-side 5, big data memory module, big data analysis module, big number can be divided into again according to module
According to management module and big data execution module.
Wherein, big data memory module is used to store the essential information and health account information, medical services unit of patient
Essential information and unit doctor on duty information and drug and medical device manufacturers essential information；Wherein, patient
Essential information and health account information include patient's personally identifiable information in the database, ID card No., the date of birth,
Gender, personal telephone number, blood group, drug allergy information, medical history, life address, occupation and work unit etc.；Doctor
Treat the essential information title of service unit, address, contact method, the authorization of national management department medical services prove, service entry
Mesh, the price of project and unit introduction etc.；The information of doctor on duty include doctor's identity identification information in the database,
Name, ID card No., age, educational background, job qualification sheet, academic title, work unit, contact method and personal introduction etc.；
The essential information of drug and medical device manufacturers includes the drug of production and the related description of medical instrument.
Wherein, health account letter of the big data analysis module for the client of the above-mentioned memory module storage of statistics and analysis
Breath, and statistics and analysis result is exported, by client health archive information and medical institutions' information, drug and medical instrument are produced
The essential information of company information and other clients intersect statistics and analysis, and result is exported；The Working mould of data analysis module
Formula is point list memory module based on above-mentioned archives storage module.
Wherein, big data management module is coupled by communication network with big data memory module and Global Internet, mainly
Function is to execute reading to the content in database, is increased, and is changed, and is deleted, and hides and waits operation, can also be to data analysis module
Transmitting analysis is ordered, and the statistics of display data analysis module and analysis are as a result, all adopted using the user of data management module
With first registering user information, then with CUSTOMER ID and the code entry module, client is by the module to personal essential information
It is registered, the operation such as modification may browse through, inquire, analysis health account information relevant to individual, the data that can read point
Analyse the analysis result of module.Medical institutions by the module to mechanism enrollment of doctor on duty, the operation such as modification, medical institutions or
Doctor on duty uploads customer profile information above-mentioned to database by the module；Doctor on duty passes through the module polls and browsing
Client health archive information, the statistic analysis result for the data analysis module that can read, medical institutions, doctor on duty, Ke Huben
People passes through the module and carries out attended operation to the customer information stored in client identification card.Drug and medical instrument produce
Enterprise increases company-related information by the Module registers, modification, and drug and medical device manufacturers pass through the module management
The product information of the enterprise.
Wherein, big data execution module is, according to the health account information of patient, to come the step of realizing above-described embodiment
Plan as a whole the production of drug, stocking up, sell etc. operates.Sufferer demand can be precisely predicted in this way, prevent excess waste resource.
Referring to figure 2., the embodiment of the present invention five are as follows:
Medicine Management System 1 based on big data, on the basis of the above embodiments, first processor 3 execute the first meter
Step S11, step S14, step S3, step S01 and the step in the step S1 in above-described embodiment two are realized when calculation machine program
Rapid S03；The step S12 in step S1 when second processor 6 executes second computer program in above-described embodiment one, step
S13, step S2, step S221 to step 222 and step S02.
Referring to figure 2., the embodiment of the present invention six are as follows:
Medicine Management System 1 based on big data, on the basis of above-described embodiment four, first processor 3 executes first
Realized when computer program step S11 in the step S1 in above-described embodiment three, step S14, step S3, step S01 and
Step S03；The step S12 in step S1 when second processor 6 executes second computer program in above-described embodiment one, step
S13, step S2, step S231 to step 236 and step S02.
In conclusion the medical management method and system provided by the invention based on big data, client can be according to connecing
The current medical use information and drug usage trend information received obtains next drug use information in next preset time,
After obtaining next drug use information, thus medical institutions can plan as a whole the drug number for needing to purchase in next preset time
Thus amount, drug and medical device manufacturers can plan as a whole the production and selling needed in next preset time, thus real
Scientific, the efficient and maximum resource utilization of existing medicine management；By judging that the drug use of last year contemporaneity becomes
Gesture information or relevant project tendency information speculate the drug service condition of next preset time, can obtain more accurately
Next drug use information；Confidential information to be added is selected by user, and including at least one private information, private information is in non-use
Family will not reduce the risk that confidential information to be added is known in advance acquired in the other users in system in the case where authorizing,
When being encrypted, server-side only selects part of data field to form be-encrypted data, in identity identification information by him
In the case that people illegally knows, since the identity ciphering information of different user is different, illegal person is on different terminal devices
It when being logged in using the identity identification information, can not be verified, to further ensure the safety of account.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalents made by bright specification and accompanying drawing content are applied directly or indirectly in relevant technical field, similarly include
In scope of patent protection of the invention.
Claims (10)
1. the medical management method based on big data, which is characterized in that comprising steps of
S1, client receive drug statistics request, and drug statistics request is sent to server-side, the drug statistics request
Including drug to be counted；
S2, server-side receive the drug statistics request, obtain the working as using the drug to be counted within the current preset time
Preceding health account information obtains current medical use information and drug usage trend information, by the current medical service condition
It is back to client with drug usage trend information, the drug usage trend information is in next preset time using described
The growth trend of drug to be counted；
S3, client receive the current medical use information and drug usage trend information, obtain in next preset time
Next drug use information.
2. the medical management method according to claim 1 based on big data, which is characterized in that generate in the step S2
Drug usage trend information specifically:
Server-side obtains the second health account information that the drug to be counted is used in last year same preset time, from described
Second health account information obtains the first past drug use information；
Server-side obtains the third health account information for using the drug to be counted in a preset time under last year, from described
Third health account information obtains the second past drug use information；
Server-side obtains the drug according to the first past drug use information and the second past drug use information
Usage trend information.
3. the medical management method according to claim 1 based on big data, which is characterized in that generate in the step S2
Drug usage trend information specifically:
Server-side obtains health care project associated with the drug to be counted, statistics from the current health archive information
Each health care project uses the par of the drug to be counted, obtains project medication quantity table；
Growth trend of the server-side statistics health care project associated with the drug to be counted in next preset time,
Project tendency information is obtained, drug usage trend letter is obtained according to the project medication quantity table and the project tendency information
Breath.
4. the medical management method according to claim 1 based on big data, which is characterized in that the step S1 is specific
Are as follows:
Client receives drug statistics request, obtains the identity information of current logon account, the identity information is sent to clothes
Business end, the identity information includes identity identification information and identity ciphering information；
Server-side receives identity information, and the identity ciphering information is decrypted, and obtains data field to be verified, described in judgement
Whether data field to be verified belongs to the matched personal information of the identity identification information institute, if belonging to, the current login
The identity information of account is legal；
Server-side obtains identity authority information corresponding to the identity identification information, judges the identity of the current logon account
Whether authority information is the authorized user of the drug to be counted, if so, returning allows to count drug information, otherwise returns not
Allow to count drug information；
Drug statistics request is sent to server-side by client, and the drug statistics request includes drug to be counted；
The identity ciphering information specifically:
S01, client obtain identity registration information and the confidential information to be added including at least one private information, and by the body
Part registration information and confidential information to be added are sent to server-side, and the confidential information to be added is that the individual that user's selection is used to encrypt believes
Breath, the personal information include that user authorizes non-private information disclosed in disclosed private information and system authorization；
It is to be added that S02, server-side choose at least one data field composition from each personal information of the confidential information to be added
Ciphertext data encrypts the be-encrypted data, generates the identity ciphering information to match with the identity registration information, and
The identity ciphering information is back to client；
S03, client receive the identity ciphering information, and display is succeeded in registration, and the identity registration information is identification
Information.
5. the medical management method according to claim 4 based on big data, which is characterized in that taken in the step S02
It is specific that at least one data field composition be-encrypted data is chosen at business end from each personal information of the confidential information to be added
Are as follows:
Server-side generates the consistent interception sequence of number with personal information in confidential information to be added, the interception sequence at random
Interception initial position and intercepted length including each personal information, according to the interception sequence successively to described to be encrypted
Personal information is intercepted to form be-encrypted data in information.
6. the Medicine Management System based on big data, including client and server-side, the client includes first memory,
One processor and storage on the first memory and the first computer program that can be run on first processor, the server-side
Including second memory, second processor and it is stored in the can run on second memory and in second processor second calculating
Machine program, which is characterized in that the first processor performs the steps of when executing first computer program
S1, receive drug statistics request, drug statistics request be sent to server-side, the drug statistics request include to
Count drug；
S3, the current medical use information and drug usage trend information are received, obtains next medicine in next preset time
Object use information；
The second processor performs the steps of when executing the second computer program
S2, the drug statistics request is received, obtains the current health for using the drug to be counted within the current preset time
Archive information obtains current medical use information and drug usage trend information, by the current medical service condition and drug
Usage trend information is back to client, and the drug usage trend information is in next preset time using described to be counted
The growth trend of drug.
7. the Medicine Management System according to claim 6 based on big data, which is characterized in that the second processor is held
In order to which the drug usage trend information generated in the step S2 also performs the steps of when the row second computer program
The second health account information that the drug to be counted is used in last year same preset time is obtained, it is strong from described second
Health archive information obtains the first past drug use information；
The third health account information for using the drug to be counted in a preset time under last year is obtained, it is strong from the third
Health archive information obtains the second past drug use information；
The drug use is obtained with the second past drug use information according to the first past drug use information to become
Gesture information.
8. the Medicine Management System according to claim 6 based on big data, which is characterized in that second processor executes institute
In order to which the drug usage trend information generated in the step S2 also performs the steps of when stating second computer program
Health care project associated with the drug to be counted is obtained from the current health archive information, counts each
Health care project uses the par of the drug to be counted, obtains project medication quantity table；
Growth trend of the health care project associated with the drug to be counted in next preset time is counted, item is obtained
Mesh tendency information obtains drug usage trend information according to the project medication quantity table and the project tendency information.
9. the Medicine Management System according to claim 6 based on big data, which is characterized in that in the step S1,
The first processor performs the steps of when executing first computer program
Drug statistics request is received, the identity information of current logon account is obtained, the identity information is sent to server-side, institute
Stating identity information includes identity identification information and identity ciphering information；
Drug statistics request is sent to server-side, the drug statistics request includes drug to be counted；
In the step S1, it is performed the steps of when the second processor executes the second computer program
Identity information is received, the identity ciphering information is decrypted, data field to be verified is obtained, is judged described to be verified
Whether data field belongs to the matched personal information of the identity identification information institute, if belonging to, the current logon account
Identity information is legal；
Identity authority information corresponding to the identity identification information is obtained, judges the identity authority letter of the current logon account
Whether breath is the authorized user of the drug to be counted, if so, returning allows to count drug information, otherwise returning does not allow to unite
Count drug information；
It generates in the identity ciphering information, the first processor realizes following step when executing first computer program
It is rapid:
S01, identity registration information and the confidential information to be added including at least one private information are obtained, and by the identity registration
Information and confidential information to be added are sent to server-side, and the confidential information to be added is the personal information that user's selection is used to encrypt, institute
Stating personal information includes that user authorizes non-private information disclosed in disclosed private information and system authorization；
S03, receive the identity ciphering information, display is succeeded in registration, and the identity registration information is identity identification information；
It generates in the identity ciphering information, the second processor realizes following step when executing the second computer program
It is rapid:
S02, at least one data field composition be-encrypted data is chosen from each personal information of the confidential information to be added,
The be-encrypted data is encrypted, generates the identity ciphering information to match with the identity registration information, and will be described
Identity ciphering information is back to client.
10. the Medicine Management System according to claim 9 based on big data, which is characterized in that in the step S02 from
At least one data field composition be-encrypted data is chosen in each personal information of the confidential information to be added specifically:
The random consistent interception sequence of number for generating one with personal information in confidential information to be added, the interception sequence include every
The interception initial position of personal information and intercepted length, according to the interception sequence successively in the confidential information to be added
Personal information is intercepted to form be-encrypted data.
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