CN110097957A - A kind of hospital management analysis system based on big data - Google Patents
A kind of hospital management analysis system based on big data Download PDFInfo
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Abstract
The present invention discloses a kind of hospital management analysis system based on big data, including data acquisition module, data reception module, controller, database, payment unit, accounting unit, predicting unit, data analysis module, smart machine and execution unit, the data acquisition module is used to acquire some data informations of hospital, the data information includes hospital bed quantity information and diagnosis information, the diagnosis information includes gop number information and number of hospitalized information, the data acquisition module is by data information transfer to data reception module, the data reception module receives the data information of data acquisition module transmission and is transferred to controller, the calculated result that the present invention passes through the patient numbers of effective sale rate and this weekly forecasting reception to drug last week, the medicine sales amount of this week is predicted, it is ready in advance, avoid the occurrence of medicine The phenomenon of object shortage improves working efficiency convenient for the timely medication to patient.
Description
Technical field
The present invention relates to hospital management analysis technical field, system is analyzed in specially a kind of hospital management based on big data
System.
Background technique
Hospital management is the general name of hospital's every management function in medical treatment, teaching, scientific research activity.It is according to hospital work
Objective law, to resources such as human, financial, and material resources, information, times, planned, organized, assisted with modern management theory and method
It adjusts, control, gives full play to overall operation function, to obtain the management activity process of best medical rate and medical effect.Main pipe
The planned management of reason means, personnel management, medical control, technical management, economic management, information management and political and ideological work
Deng.
Existing hospital management is that past data are analyzed and arranged, can not to following several days data informations into
Row prediction, can cause unnecessary trouble, for this purpose, it is proposed that a kind of hospital management based on big data to management aspect often
Analysis system.
Summary of the invention
The hospital management analysis system based on big data that the purpose of the present invention is to provide a kind of.
The technical problems to be solved by the invention are as follows:
(1) how much hospital can not predict the medical number of this week；
(2) hospital can not predict the required drug of this week；
(3) poor empty nestor is difficult in drug purchase；
The purpose of the present invention can be achieved through the following technical solutions: a kind of hospital management analysis system based on big data
System, including data acquisition module, data reception module, controller, database, payment unit, accounting unit, predicting unit, number
According to analysis module, smart machine and execution unit；
Wherein, the data acquisition module is used to acquire some data informations of hospital, and the data information includes hospital bed
Quantity information and diagnosis information, the diagnosis information include gop number information and number of hospitalized information, the data acquisition module
Data information transfer to data reception module, the data reception module are received the data information of data acquisition module transmission by block
And it is transferred to controller, the data information of the controller receiving data receiving module transmission is simultaneously transferred to data analysis module,
The data analysis module receives the data information of controller transmission and analyzes data information, obtains being hospitalized for hospital and accounts for
RatioWith the maximum value of the estimated medical number in a period of time
Wherein, it can be defined as first day of last week for a period of time to the interval time between the last day of last week, it is described
Calculated result and data information are transferred to predicting unit by data analysis module, and the predicting unit receives data analysis module and passes
Defeated calculated result and data information are simultaneously analyzed according to calculated result and data information, so that predicting hospital's this week can also
Patient's number is received, specific to predict that process is as follows:
Step 1: data analysis module automatically extracts the hospital bed quantity information in data information, by hospital bed quantity information mark
It is denoted as M i, i=1...n；
Step 2: can also receive patient's number to hospital's this week according to accounting rate in hospital and hospital bed quantity information and calculate,
Calculating formula isWherein K is the quantity for the patient that hospital can also receive at present, MAlways
For the hospital bed quantity of hospital in total, MOnFor the quantity of hospital bed consumed by hospital's last week；
Wherein, the databases contain medicine information, and the medicine information includes that Expired drug number information, drug are total
Information and drug surplus information are measured, medicine information is transferred to data analysis module by the database, and the data analyze mould
Block receives the medicine information of database transmissions and analyzes medicine information, obtains the effective sale total amount S of drug last weekOn=
YZi-YSi-GQi；
Wherein, calculated result is transferred to predicting unit by the data analysis module, and the predicting unit receives data point
It analyses the calculated result of module transfer and calculated result is analyzed, to predict the drug effective sale total amount of this week；
Wherein, by the data information transfer after prediction into smart machine, the smart machine receives the predicting unit
The prediction result of predicting unit transmission simultaneously issues order to execution unit according to prediction result；
Wherein, identity information and credit information are also stored in the database, the credit information is for measuring
Identity information and credit information are transferred to controller by the credit of one people, the database, and the controller believes identity
Breath and credit information are transferred to payment unit, and the payment unit is for patient to medical expenditure and medicine after seeing a doctor by medicine
Product expense is handled and is charged, and judges patient's memory credit whether is allowed to keep accounts；
Wherein, bill information is transferred to accounting unit by the payment unit, and the accounting unit keeps accounts to permission credit
Patient carries out credit book keeping operation, and specific credit accounting procedure is as follows:
Step 1: one initial credit rating A is set to each patient for allowing to keep accounts；
Step 2: the patient's identity information for allowing credit to keep accounts is read out, inquires whether the patient has
The case where the case where not abiding by credit occurs, and does not abide by credit is to be late for eliminating accounting records；
Step 3: when patient do not handed in retroactively within the latter year of keeping accounts expense be recorded as do not abide by credit, occur one
It is secondary, 1 point of button is carried out to the credit rating of the patient；
Step 4: judged whether to continue to allow the user to carry out credit book keeping operation, judgment criteria according to the credit rating of patient
Are as follows: credit value A1 > initial user's credit A/2 of inspection allows the user to carry out credit book keeping operation.
Preferably, the data analysis module receives the data information of controller transmission and analyzes data information,
Specific analytic process is as follows:
Step 1: the gop number information in the data information in a period of time is obtained, is by gop number information flag
MRi, i=1...n；
Step 2: the number of hospitalized information in the data information in a period of time is obtained, is by number of hospitalized information flag
ZRi, i=1...n, and MRi and ZRi are corresponded；
Step 3: the accounting rate of being hospitalized of hospital is calculated according to number of hospitalized information and gop number information
Step 4: the hospital is calculated in a period of time according to calculated hospital bed utilization rate and hospital bed quantity information
The maximum value of interior estimated medical number
Preferably, the data analysis module receives the medicine information of database transmissions and analyzes medicine information,
Specific analytic process is as follows:
Step 1: data analysis module automatically extracts the drug total amount information in medicine information, by drug weight total amount information
Labeled as YZi, i=1...n；
Step 2: data analysis module automatically extracts the drug surplus information in medicine information, and drug surplus is believed
Breath is labeled as YSi, i=1...n；
Step 3: data analysis module automatically extracts the Expired drug number information in medicine information, and Expired drug number is believed
Breath is labeled as GQi, i=1...n, and YZi, YSi and GQi are corresponded；
Step 4: last week is calculated according to drug total amount information, the sale number of days information of drug and drug surplus information
The effective sale total amount S of drugOn=YZi-YSi-GQi.
Preferably, the predicting unit receives the calculated result of data analysis module transmission and divides calculated result
Analysis, so that the drug effective sale total amount of this week is predicted, it is specific to predict that process is as follows:
Step 1: according to the accounting rate of being hospitalized of above-mentioned hospitalShow that (MRi+ZRi) is last week
Practical medical total number of persons；
Step 2: practical medical total number of persons last week is compared with the effective sale amount of drug, calculates a probability
Value
Step 3: according toWithExtrapolate the medicine that this week can actually sell
Product
Step 4: the drug that this week can actually be soldWith the practical drug S sold last weekOn=
YZi-YSi-GQi is compared, and judges whether to need to buy a collection of drug, specific judging result is as follows:
S1: work as S > SOnWhen, show that this week drug aequum is greater than drug last week surplus, then determines to need to buy a collection of new
Drug；
S2: as S < SOnWhen, show that this week drug aequum is less than drug last week surplus, then determines not needing to buy a batch
New drug.
Preferably, the payment unit is handled medical expenditure and drug expenditure after seeing a doctor by medicine for patient
And charge, specific processing and charging process are as follows:
Step 1: the identity information of patient is logged in；
Step 2: obtaining the identity information and age information of patient, and identity information is labeled as SFi, i=1...n,
Age information is labeled as Ni, i=1...n；
Step 3: according to the identity information of patient judge the patient whether be this hospital member's account:
S1: it when judging the patient for the member of this hospital, is given when settling accounts medical expenditure appropriate preferential；
S2: when judging the patient not is the member of this hospital, the regular fee when settling accounts medical expenditure；
Step 4: payment unit occurs two payment options when patient pays expense:
S1: direct payment, direct payment are paid the fees by cash or internet；
S2: credit book keeping operation, credit book keeping operation is bought on credit by the credit information of identity；
S3: analyzing according to the age information of patient, as Ni > 60, is then determined as gerontal patient, allows credit
Book keeping operation, as Ni < 60, is then determined as it not being gerontal patient, does not allow credit to keep accounts.
Preferably, the data acquisition module communicates connection, the data reception module and control with data reception module
Device communication connection, the database communicate connection with controller, and the data analysis module couples with database communication, the control
Device processed communicates connection with data analysis module, and the payment unit communicates connection, the accounting unit and paying bill with controller
Member communication connection, the predicting unit communicate connection with controller, and the smart machine communicates connection with predicting unit, described to hold
Row unit couples with smart device communication.
Beneficial effects of the present invention:
(1) for data acquisition module by data information transfer to data reception module, data reception module receives data acquisition
The data information of module transfer is simultaneously transferred to controller, and the data information of controller receiving data receiving module transmission is simultaneously transferred to
Data analysis module, data analysis module receive the data information of controller transmission and analyze data information, data point
Calculated result and data information are transferred to predicting unit by analysis module, and predicting unit receives the calculating knot of data analysis module transmission
Fruit and data information are simultaneously analyzed according to calculated result and data information, so that patient can also be received by predicting hospital's this week
Number, is sentenced by the statistics and calculating of medical number and number of hospitalized to last week so that the medical number to this week calculates
Disconnected personnel's number that this week can also accommodate out, avoiding the occurrence of the patient after going to a doctor does not have ward that can accommodate；
(2) databases contain medicine information, and medicine information includes Expired drug number information, drug total amount information and medicine
Medicine information is transferred to data analysis module by product surplus information, database, and data analysis module receives database transmissions
Medicine information simultaneously analyzes medicine information, and calculated result is transferred to predicting unit by data analysis module, and predicting unit connects
It receives the calculated result of data analysis module transmission and calculated result is analyzed, to predict the drug effective sale of this week
Total amount, by the calculated result of the patient numbers of effective sale rate and this weekly forecasting reception to drug last week, to the medicine of this week
Product sales volume is predicted, is ready in advance, and the phenomenon of drug shortage is avoided the occurrence of, convenient for the timely use to patient
Medicine improves working efficiency.
(3) by the data information transfer after prediction into smart machine, smart machine receives predicting unit and passes predicting unit
Defeated prediction result simultaneously issues order to execution unit according to prediction result, is also stored with identity information and credit rating in database
Information, credit information are used to measure the credit of a people, and identity information and credit information are transferred to controller by database,
Identity information and credit information are transferred to payment unit by controller, and payment unit is for patient to just after seeing a doctor by medicine
Consultation fee is handled and is charged with drug expenditure, and bill information is transferred to accounting unit by payment unit, and accounting unit is to fair
Perhaps credit book keeping operation patient carries out credit book keeping operation, and by the setting to payment unit, the method for carrying out credit book keeping operation is convenient for that
A little empty nestor's timely medications provide convenience for the health of the elderly, reduce the difficult problem of taking medicine of empty nestors.
Detailed description of the invention
The present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, the present invention is a kind of hospital management analysis system based on big data, including data acquisition module
Block, data reception module, controller, database, payment unit, accounting unit, predicting unit, data analysis module, intelligence are set
Standby and execution unit；
Wherein, the data acquisition module is used to acquire some data informations of hospital, and the data information includes hospital bed
Quantity information and diagnosis information, the diagnosis information include gop number information and number of hospitalized information, the data acquisition module
Data information transfer to data reception module, the data reception module are received the data information of data acquisition module transmission by block
And it is transferred to controller, the data information of the controller receiving data receiving module transmission is simultaneously transferred to data analysis module,
The data analysis module receives the data information of controller transmission and analyzes data information, obtains being hospitalized for hospital and accounts for
RatioWith the maximum value of the estimated medical number in a period of time
Wherein, it can be defined as first day of last week for a period of time to the interval time between the last day of last week, it is described
Calculated result and data information are transferred to predicting unit by data analysis module, and the predicting unit receives data analysis module and passes
Defeated calculated result and data information are simultaneously analyzed according to calculated result and data information, so that predicting hospital's this week can also
Patient's number is received, specific to predict that process is as follows:
Step 1: data analysis module automatically extracts the hospital bed quantity information in data information, by hospital bed quantity information mark
It is denoted as M i, i=1...n；
Step 2: can also receive patient's number to hospital's this week according to accounting rate in hospital and hospital bed quantity information and calculate,
Calculating formula isWherein K is the quantity for the patient that hospital can also receive at present, MAlways
For the hospital bed quantity of hospital in total, MOnFor the quantity of hospital bed consumed by hospital's last week；
Wherein, the databases contain medicine information, and the medicine information includes that Expired drug number information, drug are total
Information and drug surplus information are measured, medicine information is transferred to data analysis module by the database, and the data analyze mould
Block receives the medicine information of database transmissions and analyzes medicine information, obtains the effective sale total amount S of drug last weekOn=
YZi-YSi-GQi；
Wherein, calculated result is transferred to predicting unit by the data analysis module, and the predicting unit receives data point
It analyses the calculated result of module transfer and calculated result is analyzed, to predict the drug effective sale total amount of this week；
Wherein, by the data information transfer after prediction into smart machine, the smart machine receives the predicting unit
The prediction result of predicting unit transmission simultaneously issues order to execution unit according to prediction result；
Wherein, identity information and credit information are also stored in the database, the credit information is for measuring
Identity information and credit information are transferred to controller by the credit of one people, the database, and the controller believes identity
Breath and credit information are transferred to payment unit, and the payment unit is for patient to medical expenditure and medicine after seeing a doctor by medicine
Product expense is handled and is charged, and judges patient's memory credit whether is allowed to keep accounts；
Wherein, bill information is transferred to accounting unit by the payment unit, and the accounting unit keeps accounts to permission credit
Patient carries out credit book keeping operation, and specific credit accounting procedure is as follows:
Step 1: one initial credit rating A is set to each patient for allowing to keep accounts；
Step 2: the patient's identity information for allowing credit to keep accounts is read out, inquires whether the patient has
The case where the case where not abiding by credit occurs, and does not abide by credit is to be late for eliminating accounting records；
Step 3: when patient do not handed in retroactively within the latter year of keeping accounts expense be recorded as do not abide by credit, occur one
It is secondary, 1 point of button is carried out to the credit rating of the patient；
Step 4: judged whether to continue to allow the user to carry out credit book keeping operation, judgment criteria according to the credit rating of patient
Are as follows: credit value A1 > initial user's credit A/2 of inspection allows the user to carry out credit book keeping operation.
The data analysis module receives the data information of controller transmission and analyzes data information, and specific point
Analysis process is as follows:
Step 1: the gop number information in the data information in a period of time is obtained, is by gop number information flag
MRi, i=1...n；
Step 2: the number of hospitalized information in the data information in a period of time is obtained, is by number of hospitalized information flag
ZRi, i=1...n, and MRi and ZRi are corresponded；
Step 3: the accounting rate of being hospitalized of hospital is calculated according to number of hospitalized information and gop number information
Step 4: the hospital is calculated in a period of time according to calculated hospital bed utilization rate and hospital bed quantity information
The maximum value of interior estimated medical number
The data analysis module receives the medicine information of database transmissions and analyzes medicine information, and specific point
Analysis process is as follows:
Step 1: data analysis module automatically extracts the drug total amount information in medicine information, by drug weight total amount information
Labeled as YZi, i=1...n；
Step 2: data analysis module automatically extracts the drug surplus information in medicine information, and drug surplus is believed
Breath is labeled as YSi, i=1...n；
Step 3: data analysis module automatically extracts the Expired drug number information in medicine information, and Expired drug number is believed
Breath is labeled as GQi, i=1...n, and YZi, YSi and GQi are corresponded；
Step 4: last week is calculated according to drug total amount information, the sale number of days information of drug and drug surplus information
The effective sale total amount S of drugOn=YZi-YSi-GQi.
The predicting unit receives the calculated result of data analysis module transmission and analyzes calculated result, thus in advance
The drug effective sale total amount of this week is measured, specific to predict that process is as follows:
Step 1: according to the accounting rate of being hospitalized of above-mentioned hospitalShow that (MRi+ZRi) is last week
Practical medical total number of persons；
Step 2: practical medical total number of persons last week is compared with the effective sale amount of drug, calculates a probability
Value
Step 3: according toWithExtrapolate the medicine that this week can actually sell
Product
Step 4: the drug that this week can actually be soldWith the practical drug S sold last weekOn=
YZi-YSi-GQi is compared, and judges whether to need to buy a collection of drug, specific judging result is as follows:
S1: work as S > SOnWhen, show that this week drug aequum is greater than drug last week surplus, then determines to need to buy a collection of new
Drug；
S2: as S < SOnWhen, show that this week drug aequum is less than drug last week surplus, then determines not needing to buy a batch
New drug.
The payment unit is handled and is charged to medical expenditure and drug expenditure after seeing a doctor by medicine for patient,
Specific processing and charging process are as follows:
Step 1: the identity information of patient is logged in；
Step 2: obtaining the identity information and age information of patient, and identity information is labeled as SFi, i=1...n,
Age information is labeled as Ni, i=1...n；
Step 3: according to the identity information of patient judge the patient whether be this hospital member's account:
S1: it when judging the patient for the member of this hospital, is given when settling accounts medical expenditure appropriate preferential；
S2: when judging the patient not is the member of this hospital, the regular fee when settling accounts medical expenditure；
Step 4: payment unit occurs two payment options when patient pays expense:
S1: direct payment, direct payment are paid the fees by cash or internet；
S2: credit book keeping operation, credit book keeping operation is bought on credit by the credit information of identity；
S3: analyzing according to the age information of patient, as Ni > 60, is then determined as gerontal patient, allows credit
Book keeping operation, as Ni < 60, is then determined as it not being gerontal patient, does not allow credit to keep accounts.
The data acquisition module communicates connection with data reception module, and the data reception module communicates connection with controller
It connects, the database communicates connection with controller, and the data analysis module couples with database communication, the controller and number
It communicates and couples according to analysis module, the payment unit communicates connection with controller, and the accounting unit communicates connection with payment unit
Connect, the predicting unit communicates connection with controller, and the smart machine communicates connection with predicting unit, the execution unit with
Smart device communication connection.
At work, data acquisition module is by data information transfer to data reception module, data reception module by the present invention
It receives the data information of data acquisition module transmission and is transferred to controller, the data of controller receiving data receiving module transmission
Information is simultaneously transferred to data analysis module, and data analysis module receives the data information of controller transmission and carries out to data information
Calculated result and data information are transferred to predicting unit by analysis, data analysis module, and predicting unit receives data analysis module
The calculated result and data information of transmission are simultaneously analyzed according to calculated result and data information, to predict hospital's this week also
Can receive patient's number, databases contain medicine information, medicine information include Expired drug number information, drug total amount information and
Medicine information is transferred to data analysis module by drug surplus information, database, and data analysis module receives database transmissions
Medicine information and medicine information is analyzed, calculated result is transferred to predicting unit, predicting unit by data analysis module
It receives the calculated result of data analysis module transmission and calculated result is analyzed, thus the practical pin of the drug for predicting this week
Total amount is sold, for predicting unit by the data information transfer after prediction into smart machine, smart machine receives predicting unit transmission
Prediction result simultaneously issues order to execution unit according to prediction result, and identity information and credit rating letter are also stored in database
Breath, credit information are used to measure the credit of a people, and identity information and credit information are transferred to controller by database, control
Identity information and credit information are transferred to payment unit by device processed, and payment unit is for patient to medical after seeing a doctor by medicine
Expense and drug expenditure are handled and are charged, and bill information is transferred to accounting unit by payment unit, and accounting unit is to permission
Credit book keeping operation patient carries out credit book keeping operation.
For the present invention by data acquisition module by data information transfer to data reception module, data reception module receives number
According to acquisition module transmission data information and be transferred to controller, controller receiving data receiving module transmission data information simultaneously
It is transferred to data analysis module, data analysis module receives the data information of controller transmission and analyzes data information,
Calculated result and data information are transferred to predicting unit by data analysis module, and predicting unit receives data analysis module transmission
Calculated result and data information are simultaneously analyzed according to calculated result and data information, so that predicting hospital's this week can also receive
Patient's number, by the statistics and calculating of medical number and number of hospitalized to last week, so that the medical number to this week is counted
Calculate, judge personnel's number that this week can also accommodate, avoid the occurrence of it is medical after patient there is no ward that can accommodate；
Databases contain medicine information simultaneously, medicine information include Expired drug number information, drug total amount information and
Medicine information is transferred to data analysis module by drug surplus information, database, and data analysis module receives database transmissions
Medicine information and medicine information is analyzed, calculated result is transferred to predicting unit, predicting unit by data analysis module
It receives the calculated result of data analysis module transmission and calculated result is analyzed, thus the practical pin of the drug for predicting this week
Total amount is sold, by the calculated result of the patient numbers of effective sale rate and this weekly forecasting reception to drug last week, to this week
Medicine sales amount is predicted, is ready in advance, and the phenomenon of drug shortage is avoided the occurrence of, convenient for the timely use to patient
Medicine improves working efficiency.
By the data information transfer after prediction into smart machine, smart machine receives predicting unit and passes predicting unit simultaneously
Defeated prediction result simultaneously issues order to execution unit according to prediction result, is also stored with identity information and credit rating in database
Information, credit information are used to measure the credit of a people, and identity information and credit information are transferred to controller by database,
Identity information and credit information are transferred to payment unit by controller, and payment unit is for patient to just after seeing a doctor by medicine
Consultation fee is handled and is charged with drug expenditure, and bill information is transferred to accounting unit by payment unit, and accounting unit is to fair
Perhaps credit book keeping operation patient carries out credit book keeping operation, and by the setting to payment unit, the method for carrying out credit book keeping operation is convenient for that
A little empty nestor's timely medications provide convenience for the health of the elderly, reduce the difficult problem of taking medicine of empty nestors.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art couple
Described specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from invention
Structure or beyond the scope defined by this claim, is within the scope of protection of the invention.
Claims (6)
1. a kind of hospital management analysis system based on big data, which is characterized in that including data acquisition module, data reception
Block, controller, database, payment unit, accounting unit, predicting unit, data analysis module, smart machine and execution unit；
Wherein, the data acquisition module is used to acquire some data informations of hospital, and the data information includes hospital bed quantity
Information and diagnosis information, the diagnosis information include gop number information and number of hospitalized information, and the data acquisition module will
For data information transfer to data reception module, the data reception module receives the data information and biography of data acquisition module transmission
Defeated to arrive controller, the data information of the controller receiving data receiving module transmission is simultaneously transferred to data analysis module, described
Data analysis module receives the data information of controller transmission and analyzes data information, obtains the accounting rate of being hospitalized of hospitalWith the maximum value of the estimated medical number in a period of time
Wherein, it can be defined as first day of last week for a period of time to the interval time between the last day of last week, the data
Calculated result and data information are transferred to predicting unit by analysis module, and the predicting unit receives data analysis module transmission
Calculated result and data information are simultaneously analyzed according to calculated result and data information, so that predicting hospital's this week can also receive
Patient's number, specific to predict that process is as follows:
Step 1: data analysis module automatically extracts the hospital bed quantity information in data information, and hospital bed quantity information is labeled as
Mi, i=1...n；
Step 2: can also receive patient's number to hospital's this week according to accounting rate in hospital and hospital bed quantity information and calculate, and calculate
Formula isWherein K is the quantity for the patient that hospital can also receive at present, MAlwaysFor doctor
The hospital bed quantity of institute in total, MOnFor the quantity of hospital bed consumed by hospital's last week；
Wherein, the databases contain medicine information, and the medicine information includes Expired drug number information, drug total amount letter
Medicine information is transferred to data analysis module by breath and drug surplus information, the database, and the data analysis module connects
It receives the medicine information of database transmissions and medicine information is analyzed, obtain the effective sale total amount S of drug last weekOn=YZi-
YSi-GQi；
Wherein, calculated result is transferred to predicting unit by the data analysis module, and the predicting unit receives data and analyzes mould
The calculated result of block transmission simultaneously analyzes calculated result, to predict the drug effective sale total amount of this week；
Wherein, for the predicting unit by the data information transfer after prediction into smart machine, the smart machine receives prediction
The prediction result of unit transmission simultaneously issues order to execution unit according to prediction result；
Wherein, identity information and credit information are also stored in the database, the credit information is for measuring one
Identity information and credit information are transferred to controller by the credit of people, the database, the controller by identity information and
Credit information is transferred to payment unit, and the payment unit is for patient to medical expenditure and drug expense after seeing a doctor by medicine
With being handled and being charged, judge patient's memory credit whether is allowed to keep accounts；
Wherein, bill information is transferred to accounting unit by the payment unit, and the accounting unit is medical to allowing credit to keep accounts
Personnel carry out credit book keeping operation, and specific credit accounting procedure is as follows:
Step 1: one initial credit rating A is set to each patient for allowing to keep accounts；
Step 2: the patient's identity information for allowing credit to keep accounts is read out, the patient is inquired and whether has and do not abide by
The case where keeping promise appearance is not to be late for eliminating accounting records in accordance with the case where credit；
Step 3: when patient do not handed in retroactively within the latter year of keeping accounts expense be recorded as do not abide by credit, occur it is primary then
1 point of button is carried out to the credit rating of the patient；
Step 4: judged whether to continue to allow the user to carry out credit book keeping operation, judgment criteria according to the credit rating of patient are as follows: inspection
Credit value A1 > initial user's credit the A/2 looked into allows the user to carry out credit book keeping operation.
2. a kind of hospital management analysis system based on big data according to claim 1, which is characterized in that the data
Analysis module receives the data information of controller transmission and analyzes data information, and specific analytic process is as follows:
Step 1: obtaining the gop number information in the data information in a period of time, is MRi, i by gop number information flag
=1...n；
Step 2: obtaining the number of hospitalized information in the data information in a period of time, is ZRi, i by number of hospitalized information flag
=1...n, and MRi and ZRi is corresponded；
Step 3: the accounting rate of being hospitalized of hospital is calculated according to number of hospitalized information and gop number information
Step 4: the hospital is calculated whithin a period of time according to calculated hospital bed utilization rate and hospital bed quantity information
It is expected that the maximum value of medical number
3. a kind of hospital management analysis system based on big data according to claim 1, which is characterized in that the data
Analysis module receives the medicine information of database transmissions and analyzes medicine information, and specific analytic process is as follows:
Step 1: data analysis module automatically extracts the drug total amount information in medicine information, by drug weight total amount information flag
For YZi, i=1...n；
Step 2: data analysis module automatically extracts the drug surplus information in medicine information, by drug surplus information mark
It is denoted as YSi, i=1...n；
Step 3: data analysis module automatically extracts the Expired drug number information in medicine information, by Expired drug number information mark
It is denoted as GQi, i=1...n, YZi, YSi and GQi are corresponded；
Step 4: drug last week is calculated according to drug total amount information, the sale number of days information of drug and drug surplus information
Effective sale total amount SOn=YZi-YSi-GQi.
4. a kind of hospital management analysis system based on big data according to claim 1, which is characterized in that the prediction
Unit receives the calculated result of data analysis module transmission and analyzes calculated result, so that the drug for predicting this week is real
Border total sales volume is specific to predict that process is as follows:
Step 1: according to the accounting rate of being hospitalized of above-mentioned hospitalShow that (MRi+ZRi) is that last week is practical
Medical total number of persons；
Step 2: practical medical total number of persons last week is compared with the effective sale amount of drug, calculates a probability value
Step 3: according toWithExtrapolate the drug that this week can actually sell
Step 4: the drug that this week can actually be soldWith the practical drug S sold last weekOn=YZi-
YSi-GQi is compared, and judges whether to need to buy a collection of drug, specific judging result is as follows:
S1: work as S > SOnWhen, show that this week drug aequum is greater than drug last week surplus, then determines to need to buy the new medicine of a batch
Product；
S2: as S < SOnWhen, show that this week drug aequum is less than drug last week surplus, then determines not need to buy a collection of new
Drug.
5. a kind of hospital management analysis system based on big data according to claim 1, which is characterized in that the payment
Unit is handled and is charged to medical expenditure and drug expenditure after seeing a doctor by medicine for patient, specific processing and charge
Process is as follows:
Step 1: the identity information of patient is logged in；
Step 2: obtaining the identity information and age information of patient, identity information is labeled as SFi, i=1...n, by year
Age information flag is Ni, i=1...n；
Step 3: according to the identity information of patient judge the patient whether be this hospital member's account:
S1: it when judging the patient for the member of this hospital, is given when settling accounts medical expenditure appropriate preferential；
S2: when judging the patient not is the member of this hospital, the regular fee when settling accounts medical expenditure；
Step 4: payment unit occurs two payment options when patient pays expense:
S1: direct payment, direct payment are paid the fees by cash or internet；
S2: credit book keeping operation, credit book keeping operation is bought on credit by the credit information of identity；
S3: analyzing according to the age information of patient, as Ni > 60, is then determined as gerontal patient, credit is allowed to remember
Account is then determined as it not being gerontal patient, does not allow credit to keep accounts as Ni < 60.
6. a kind of hospital management analysis system based on big data according to claim 1, which is characterized in that the data
Acquisition module communicates connection with data reception module, and the data reception module communicates connection with controller, the database with
Controller communication connection, the data analysis module couple with database communication, and the controller is communicated with data analysis module
Connection, the payment unit communicate connection with controller, and the accounting unit communicates connection, the predicting unit with payment unit
Connection is communicated with controller, the smart machine communicates connection with predicting unit, and the execution unit and smart device communication join
It connects.
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