CN107403064A - A kind of hospital's traditional Chinese medical science gives birth to resource allocation big data system - Google Patents
A kind of hospital's traditional Chinese medical science gives birth to resource allocation big data system Download PDFInfo
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- CN107403064A CN107403064A CN201710625649.6A CN201710625649A CN107403064A CN 107403064 A CN107403064 A CN 107403064A CN 201710625649 A CN201710625649 A CN 201710625649A CN 107403064 A CN107403064 A CN 107403064A
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Abstract
Resource allocation big data system, including the big data analysis software being integrated in hospital server are given birth to the invention discloses a kind of hospital's traditional Chinese medical science, and the big data analysis software obtains and stores each doctor's odd-numbered day maximum and handles patients quantity；When the same day works, the big data analysis software called each doctor's same day that hospital registration system records in hospital server to register quantity, and it is compared with each doctor's odd-numbered day maximum quantity of handling patients, if the doctor registered on the same day quantity more than doctor's odd-numbered day maximum handle patients quantity when, big data analysis software defines the registering for remaining patient that doctor's odd-numbered day maximum is handled patients outside quantity and registered as reassignment, and each reassignment registers to register again by hospital registration system and distributed to other doctors.The present invention is ensureing quality of medical care pair simultaneously, can effectively improve the resource utilization of doctor in hospital.
Description
Technical field
The present invention relates to big data system regions, specifically a kind of hospital's traditional Chinese medical science life resource allocation big data system.
Background technology
Big data is widely used in social industry-by-industry, including medical field at present.Patient is registered by hospital in hospital
When system is registered, hospital registration system can reflect the number of patients registered under each doctor, although patient can foundation
Quantity of having registered is selected doctor, but this selection is based entirely on directly perceived cognition of the patient itself to quantity of having registered,
I.e. patient feel the doctor registered quantity it is higher when can select other doctors, therefore this selection is that directly perceived based on patient being recognized
Know the process voluntarily reallocated, be not based on the resource reallocation that the actual capacity of doctor is carried out, doctor's money be present
The problem of source wastes.
The content of the invention
It is an object of the invention to provide a kind of hospital's traditional Chinese medical science to give birth to resource allocation big data system, to solve prior art doctor
The problem of doctor's wasting of resources be present in institute's hospital registration system.
In order to achieve the above object, the technical solution adopted in the present invention is：
A kind of hospital's traditional Chinese medical science gives birth to resource allocation big data system, it is characterised in that：Including the big number being integrated in hospital server
According to analysis software, the identification information of each doctor and each doctor handle patients daily in big data analysis software record hospital
Quantity is simultaneously counted, and is obtained and is stored each doctor's odd-numbered day maximum in history and handles patients quantity；When the same day works, the big number
Called each doctor's same day that hospital registration system records in hospital server to register quantity and registered number according to analysis software, and with it is every
Individual doctor's odd-numbered day maximum quantity of handling patients is compared, if the doctor registered on the same day, quantity is more than doctor's odd-numbered day maximum reception
During number of patients, big data analysis software define remaining patient that doctor's odd-numbered day maximum is handled patients outside quantity register as weight
Distribution is registered, and sends distribution order to hospital registration system from big data analysis software and each reassignment is registered, hospital registration system receives
Each reassignment is registered to register again after distribution instruction and distributed to other doctors.
A kind of described hospital's traditional Chinese medical science life resource allocation big data system road, it is characterised in that：The mark letter of the doctor
The name and job number for doctor are ceased, by back-stage management personnel's typing big data analysis software.
A kind of described hospital's traditional Chinese medical science life resource allocation big data system, it is characterised in that：Big data analysis software according to
Each doctor handles patients quantity daily, calculates and obtains each doctor's odd-numbered day and averagely handle patients quantity, big data analysis software
Quantity and the doctor quantity of registering on the same day of averagely handling patients of each doctor's odd-numbered day is compared, the number if doctor registered on the same day
Amount is less than the odd-numbered day and averagely handled patients quantity, and big data analysis software defines the doctor to distribute high priority, when redistributing
Big data analysis software sends the identification information of the doctor of distribution high priority to hospital registration system, and hospital registration system receives high preferential
After the identification information of the doctor of level, each reassignment is registered preferably to register again and distributed to the doctor.
A kind of described hospital's traditional Chinese medical science life resource allocation big data system, it is characterised in that：The big data analysis software
It is average according to the actual quantity of handling patients of the same day each doctor, quantity of being handled patients to each doctor's odd-numbered day maximum, odd-numbered day daily
The numerical value for quantity of handling patients is updated.
The present invention quantity handled patients daily in history with doctor characterizes the actual capacity of doctor, based on doctor
Actual capacity, the patient of this partial amt beyond the actual capacity of doctor is divided again by hospital registration system
Match somebody with somebody, ensureing quality of medical care pair simultaneously, the resource utilization of doctor in hospital can be effectively improved.
Brief description of the drawings
Fig. 1 is principle of the invention flow chart.
Embodiment
As shown in figure 1, a kind of hospital's traditional Chinese medical science life resource allocation big data system, including be integrated in big in hospital server
DAS, the big data analysis software record the identification information of each doctor and each doctor in hospital and receive disease daily
People's quantity is simultaneously counted, and is obtained and is stored each doctor's odd-numbered day maximum in history and handles patients quantity；When the same day works, this is big
DAS called each doctor's same day that hospital registration system records in hospital server to register quantity and registered number, and with
Each doctor's odd-numbered day maximum quantity of handling patients is compared, if the doctor registered on the same day, quantity connects more than doctor's odd-numbered day maximum
When number of patients, big data analysis software defines the conduct of registering for remaining patient that doctor's odd-numbered day maximum is handled patients outside quantity
Reassignment is registered, and sends distribution order to hospital registration system from big data analysis software and each reassignment is registered, hospital registration system connects
Contracture is distributed to other doctors with each reassignment registers to register again after instruction.
The identification information of doctor is the name and job number of doctor, by back-stage management personnel's typing big data analysis software.
Big data analysis software is handled patients quantity daily according to each doctor, is calculated and is obtained each doctor's odd-numbered day and averagely connect
Treat number of patients, big data analysis software enters quantity and the doctor quantity of registering on the same day of averagely handling patients of each doctor's odd-numbered day
Row is compared, if the doctor registered on the same day, quantity is averagely handled patients quantity less than the odd-numbered day, and big data analysis software defines the doctor
To distribute high priority, big data analysis software sends the mark of the doctor of distribution high priority to hospital registration system when redistributing
Information, after hospital registration system receives the identification information of the doctor of high priority, each reassignment is registered and preferably registered again point
It is assigned to the doctor.
Big data analysis software is maximum to each doctor's odd-numbered day daily according to the actual quantity of handling patients of the same day each doctor
Averagely the handle patients numerical value of quantity of quantity, odd-numbered day of handling patients is updated.
Claims (4)
1. a kind of hospital's traditional Chinese medical science gives birth to resource allocation big data system, it is characterised in that：It is big in hospital server including being integrated in
DAS, the big data analysis software record the identification information of each doctor and each doctor in hospital and receive disease daily
People's quantity is simultaneously counted, and is obtained and is stored each doctor's odd-numbered day maximum in history and handles patients quantity；When the same day works, this is big
DAS called each doctor's same day that hospital registration system records in hospital server to register quantity and registered number, and with
Each doctor's odd-numbered day maximum quantity of handling patients is compared, if the doctor registered on the same day, quantity connects more than doctor's odd-numbered day maximum
When number of patients, big data analysis software defines the conduct of registering for remaining patient that doctor's odd-numbered day maximum is handled patients outside quantity
Reassignment is registered, and sends distribution order to hospital registration system from big data analysis software and each reassignment is registered, hospital registration system connects
Contracture is distributed to other doctors with each reassignment registers to register again after instruction.
A kind of 2. hospital's traditional Chinese medical science life resource allocation big data system road according to claim 1, it is characterised in that：The doctor
Raw identification information is the name and job number of doctor, by back-stage management personnel's typing big data analysis software.
A kind of 3. hospital's traditional Chinese medical science life resource allocation big data system according to claim 1, it is characterised in that：Big data point
Analysis software is handled patients quantity daily according to each doctor, is calculated and is obtained each doctor's odd-numbered day and averagely handle patients quantity, big number
Quantity and the doctor quantity of registering on the same day of averagely handling patients of each doctor's odd-numbered day is compared according to analysis software, if the doctor
Same day quantity of registering averagely is handled patients quantity less than the odd-numbered day, and big data analysis software defines the doctor as distribution high priority,
Big data analysis software sends the identification information of the doctor of distribution high priority to hospital registration system when redistributing, and hospital registration system connects
After the identification information for receiving the doctor of high priority, each reassignment is registered preferably to register again and distributed to the doctor.
A kind of 4. hospital's traditional Chinese medical science life resource allocation big data system according to claim 1 or 3, it is characterised in that：It is described
Big data analysis software according to the actual quantity of handling patients of the same day each doctor, is handled patients to each doctor's odd-numbered day maximum daily
Averagely the handle patients numerical value of quantity of quantity, odd-numbered day is updated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201710625649.6A CN107403064A (en) | 2017-07-27 | 2017-07-27 | A kind of hospital's traditional Chinese medical science gives birth to resource allocation big data system |
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| CN201710625649.6A CN107403064A (en) | 2017-07-27 | 2017-07-27 | A kind of hospital's traditional Chinese medical science gives birth to resource allocation big data system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108960460A (en) * | 2018-06-07 | 2018-12-07 | 郑州云海信息技术有限公司 | A kind of hospital registers diagnosis and treatment method and system |
| CN111161893A (en) * | 2019-12-31 | 2020-05-15 | 上海亿保健康管理有限公司 | Medical information processing method, device and equipment |
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| CN101515379A (en) * | 2009-02-20 | 2009-08-26 | 上海健业文化传播有限公司 | Double-track registration and medical consultation service system |
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| CN105654180A (en) * | 2015-12-24 | 2016-06-08 | 天津智慧通联科技有限公司 | Appointment registration method, appointment registration device and appointment registration system |
| CN106097216A (en) * | 2016-06-23 | 2016-11-09 | 桂林电子科技大学 | Intelligent medical treatment equipment cut-in methods based on big data |
| CN106296522A (en) * | 2016-08-09 | 2017-01-04 | 浪潮集团有限公司 | Hospital queuing inquiry method based on big data |
| CN106372391A (en) * | 2016-08-26 | 2017-02-01 | 东软集团股份有限公司 | Method and apparatus for calculating waiting time of outpatient service |
| CN106557639A (en) * | 2015-09-18 | 2017-04-05 | 中兴通讯股份有限公司 | Hospital register method and system |
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Patent Citations (7)
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| CN101515379A (en) * | 2009-02-20 | 2009-08-26 | 上海健业文化传播有限公司 | Double-track registration and medical consultation service system |
| CN203849765U (en) * | 2013-01-15 | 2014-09-24 | 中国人民解放军第三军医大学第一附属医院 | Outpatient service registration system |
| CN106557639A (en) * | 2015-09-18 | 2017-04-05 | 中兴通讯股份有限公司 | Hospital register method and system |
| CN105654180A (en) * | 2015-12-24 | 2016-06-08 | 天津智慧通联科技有限公司 | Appointment registration method, appointment registration device and appointment registration system |
| CN106097216A (en) * | 2016-06-23 | 2016-11-09 | 桂林电子科技大学 | Intelligent medical treatment equipment cut-in methods based on big data |
| CN106296522A (en) * | 2016-08-09 | 2017-01-04 | 浪潮集团有限公司 | Hospital queuing inquiry method based on big data |
| CN106372391A (en) * | 2016-08-26 | 2017-02-01 | 东软集团股份有限公司 | Method and apparatus for calculating waiting time of outpatient service |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108960460A (en) * | 2018-06-07 | 2018-12-07 | 郑州云海信息技术有限公司 | A kind of hospital registers diagnosis and treatment method and system |
| CN111161893A (en) * | 2019-12-31 | 2020-05-15 | 上海亿保健康管理有限公司 | Medical information processing method, device and equipment |
| CN111161893B (en) * | 2019-12-31 | 2024-02-02 | 海南老白健康科技有限公司 | Medical information processing method, device and equipment |
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Application publication date: 20171128 |