CN109785947A - A kind of Intelligent statistical analysis system applied to medical data center - Google Patents
A kind of Intelligent statistical analysis system applied to medical data center Download PDFInfo
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- CN109785947A CN109785947A CN201910009334.8A CN201910009334A CN109785947A CN 109785947 A CN109785947 A CN 109785947A CN 201910009334 A CN201910009334 A CN 201910009334A CN 109785947 A CN109785947 A CN 109785947A
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- patient information
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- analysis system
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Abstract
The present invention provides a kind of Intelligent statistical analysis system applied to medical data center, is applied to medical data center, and the storage network including server and connection server, server includes receiving module, for receiving externally input patient information；Storage network is for storing patient information；It include a processor in storage network, processor includes: taxon, classified according to priority classification condition preset in storage network to patient information, to obtain sorted patient information, and sorted patient information is successively saved in storage network by the sequence of priority level；Analytical unit is connect with taxon, and successively obtains the corresponding sorted patient information in storage network according to the sequence of priority level, and is sent to the external doctor terminal connecting with server；Processor works when being in idle moment.The beneficial effects of the present invention are: it reduces system power dissipation and reduces the workload of medical staff.
Description
Technical field
The present invention relates to digitized information administrative skill fields, more particularly to the Intelligent statistical applied to medical data center
Analysis system.
Background technique
In medical industry, doctor only has the accurate state of an illness cause of disease for understanding patient that can carry out optimal examine to patient
It is disconnected.There is medical data center in usual hospital, and a large amount of medical data and patient information are store in medical data center.Medical treatment
Data center generallys use CPU (Central Processing Unit central processing unit) or GPU (Graphics
Processing Unit graphics processor) by DRAM, (Dynamic Random Access Memory dynamic random-access is deposited
Reservoir stores network) respective algorithms progress data analysis is executed, but the execution of CPU and GPU can consume a large amount of power consumption, simultaneously
DRAM is refreshed that data is kept to exist, and also brings along a large amount of power consumption.
Until all not doing any processing in the period that doctor is diagnosed after Hospitals at Present reserves patient, this
The Diagnostic Time of doctor can be greatly increased, and the patient information of reservation does not screen priority, this can greatly increase doctor
The workload of shield personnel.
Summary of the invention
For the above-mentioned problems in the prior art, now provide one kind be intended to by establish priority classification condition and
Carry out information processing according to priority classification condition to reduce the workload of medical staff is applied to medical data center
Intelligent statistical analysis system.
Specific technical solution is as follows:
A kind of Intelligent statistical analysis system applied to medical data center is applied to medical data center, including service
The storage network of device and connection server, wherein
Server includes receiving module, for receiving externally input patient information；
Storage network is for storing patient information；
Storage network includes multiple storage regions, and each storage region and a kind of patient information correspond；
Include processor in storage network, processor further comprises:
Taxon, according to priority classification condition preset in storage network to being stored in storage network
Patient information is classified；
Storage unit is connect with taxon, and the storage address of sorted patient information is saved in corresponding storage
Region；
Analytical unit is connect with storage unit, and the storage in storage region is successively obtained according to the sequence of priority level
Address, and associated patient information is obtained according to storage address and is sent to the external doctor terminal connecting with server；
Wherein, processor works when server and/or storage network are in idle moment.
Preferably, the Intelligent statistical analysis system applied to medical data center, wherein Intelligent statistical analysis system includes
Multiple patient terminals and multiple doctor terminals, each patient terminal pass sequentially through server and connect the memory net of server
Network is connect with each doctor terminal, and patient terminal is for sending patient information.
Preferably, the Intelligent statistical analysis system applied to medical data center, wherein patient information includes the body of patient
Part information, subscription time, main clinical manifestation and medical history case information；
Wherein the identity information in each patient information respectively with told subscription time, main clinical manifestation and medical history case
Information is associated.
Preferably, the Intelligent statistical analysis system applied to medical data center, wherein processor further includes that statistics is single
Member, statistic unit are used to record the number of the storage address of each storage region respectively.
Preferably, the Intelligent statistical analysis system applied to medical data center, wherein storage network further include:
Condition storage assembly: for storing preset priority classification condition.
Preferably, the Intelligent statistical analysis system applied to medical data center, wherein priority classification condition includes
Outpatient service classification.
Preferably, the Intelligent statistical analysis system applied to medical data center, wherein priority classification condition includes
Subscription time in the patient information of each doctor terminal；
Subscription time in each patient information is arranged, according to the determining priority classification condition that puts in order
Priority level.
Preferably, the Intelligent statistical analysis system applied to medical data center, wherein priority classification condition includes
The information processing capacity of patient information:
The information processing capacity of all patient informations of same subscription time is compared, is determined according to comparing result preferential
The priority level of grade separation condition.
Preferably, the Intelligent statistical analysis system applied to medical data center, wherein priority classification condition includes
Doctor terminal carries out the data volume of information processing to patient information；
Data volume is compared, the priority level of priority classification condition is determined according to comparing result.
Preferably, the Intelligent statistical analysis system applied to medical data center, wherein processor be microcontroller and/
Or processor.
Above-mentioned technical proposal has the following advantages that or the utility model has the advantages that by establishing priority classification condition and according to preferential
Grade separation condition carries out information processing to reduce the workload of medical staff.
Detailed description of the invention
With reference to appended attached drawing, more fully to describe the embodiment of the present invention.However, appended attached drawing be merely to illustrate and
It illustrates, and is not meant to limit the scope of the invention.
Fig. 1 is the structural schematic diagram for the Intelligent statistical analysis system embodiment that the present invention is applied to medical data center.
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, those of ordinary skill in the art without creative labor it is obtained it is all its
His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The present invention will be further explained below with reference to the attached drawings and specific examples, but not as the limitation of the invention.
The present invention provides a kind of Intelligent statistical analysis system applied to medical data center, is applied in medical data
The heart, as shown in Figure 1, including server 1 and the storage network 2 for connecting server 1, wherein
Server 1 includes receiving module 11, for receiving externally input patient information；
Storage network 2 is for storing patient information；
Storage network 2 includes multiple storage regions 22, and each storage region 22 is corresponded with a kind of patient information；
Include processor 21 in storage network 2, processor 21 further comprises:
Taxon 211 divides patient information according to priority classification condition preset in storage network 2
Class；
Storage unit 213 is connect with taxon 211, and the storage address of sorted patient information is saved in correspondence
Storage region 22；
Analytical unit 212 is connect with storage unit 213, and successively obtains storage region 22 according to the sequence of priority level
In storage address, and associated patient information is obtained according to storage address and is sent to the external doctor connecting with server 1
Raw terminal 3；
Wherein, processor 21 works when server and/or storage network are in idle moment.
In the above-described embodiments, it realizes and statistics is analyzed in advance to the patient information of the patient terminal 4 reserved, jump
The work for crossing the processor at 1 end of data center server, has largely saved power consumption；
And in the above-described embodiments, the storage address of sorted patient information is saved in by storage unit 213
Corresponding storage region 22 does not store patient information directly, to reduce the power consumption of storage network 2, and then raising is handled
The processing speed of device 21.
Further, as preferred embodiment, processor can be microcontroller and processor.
Further, as preferred embodiment, processor can be microcontroller.
Further, as preferred embodiment, processor can be processor.
Further, as preferred embodiment, storage network 2 is located at the core layer at medical data center, thus
Processor 21 also is located at the core layer at medical data center, and then processor 21 can reduce the power consumption of CPU.
Further, in the above-described embodiments, Intelligent statistical analysis system includes that multiple patient terminals 4 and multiple doctors are whole
End 3, each patient terminal 4 are connect by server 1 with each doctor terminal 3, and patient terminal 4 is for sending patient information.
Further, in the above-described embodiments, patient information includes the identity information of patient, subscription time, Major Clinical
Performance and medical history case information；
Wherein the identity information in each patient information respectively with told subscription time, main clinical manifestation and medical history case
Information is associated.
Further, in the above-described embodiments, processor 21 further includes statistic unit, and statistic unit is every for record respectively
The number of the storage address of a storage region 22.
Further, in the above-described embodiments, storage network 2 further include:
Condition storage assembly: for storing preset priority classification condition.
Further, in the above-described embodiments, priority classification condition includes outpatient service classification.I.e. different outpatient service classifications
With different priority levels.For example, the medical expert's consultation of hospital can be judged as high precedence.It can be by the common of hospital
Outpatient service is judged as low precedence.
Further, in the above-described embodiments, priority classification condition includes in the patient information of each doctor terminal 3
Subscription time；
Subscription time in each patient information is arranged, according to the determining priority classification condition that puts in order
Priority level.
Further, as preferred embodiment, when subscription time is closer to current time, then the priority level is screened
The priority level of condition is higher.I.e. the subscription time patient terminal 4 closer apart from current time is marked as higher preferential
Grade, the subscription time patient terminal 4 remoter apart from current time are marked as lower priority level.
Further, in the above-described embodiments, priority classification condition includes the information processing capacity of patient information:
The information processing capacity of all patient informations of same subscription time is compared, is determined according to comparing result preferential
The priority level of grade separation condition.
It should be noted that information processing capacity refers to the data volume size of patient information, wherein information processing capacity is bigger, place
It is also longer to the processing time of the patient information to manage device 21；By the smaller patient terminal 4 of information processing capacity labeled as higher excellent
First grade；The bigger patient terminal 4 for the treatment of capacity is labeled as lower priority level.
Further, in the above-described embodiments, priority classification condition includes that doctor terminal 3 carries out letter to patient information
Cease the data volume of processing；
Data volume is compared, the priority level of priority classification condition is determined according to comparing result.
Further, as preferred embodiment, patient information of the doctor terminal 3 to patient terminal 4 is subjected to information
The patient terminal 4 that the data volume of statistics, information analysis and information comparison is smaller is labeled as higher priority level, by doctor terminal
The bigger patient terminal 4 of the data volume of patient information progress Information Statistics, information analysis and the information comparison of 3 couples of patient terminals 4
Labeled as lower priority level.
In the above-mentioned technical solutions, processor 21 of the invention is classified according to priority classification condition, i.e., according to
Different outpatient service classifications carries out time segment processing to the patient information of all patient terminals 4 in time, then each
It carries out carrying out priority classification according to the sequencing of subscription time in period；Simultaneously to the patient information of patient terminal 4
Information processing capacity and/or doctor terminal 3 Information Statistics, information analysis and information pair are carried out to the patient information of patient terminal 4
The data volume of ratio is classified, i.e., associated patient terminal 4 big to information processing capacity and/or that data volume is big can reduce priority level；
Priority level can be improved in associated patient terminal 4 small to information processing capacity and/or that data volume is small, and by classification results according to excellent
The sequence of first grade successively stores corresponding sorted patient information, and processor 21 sends out corresponding sorted patient information
Give external doctor terminal 3, priority level sequence be with higher priority come queue before, make corresponding doctor whole
Hold 3 priority processings；Priority level sequence be with compared with low precedence come queue after, allow corresponding doctor terminal 3 to postpone
Processing.
Further, in a preferred embodiment, hospital is divided into different medicine classes and different outpatient service classifications, respectively
A doctor also carries out the patient of work and the corresponding outpatient service classification of medical treatment under respectively affiliated class.To same medicine class
The patient of the reservation of doctor handle with the period, can preferably carry out data management in this way.The sky of the server 1 of the present embodiment
The not busy period is the period after 22 points, uses the processor 21 in storage network 2 according to preferential under this period
Grade separation condition first classifies to the patient information stored in storage network 2 according to priority classification condition.Processing
Device 21 counted according to different medicine class and patient information, is sorted.Idle moment is in server 1
Shi Jinhang classification is uniformly counted and is sorted to belonging to surgical patient information at 22 points to 23 points, at 23 points to insulting
The patient information of belonging physician is uniformly counted and sorted between 1 point of morning, processor 21 is according to priority classification
Data after being counted and being sorted successively are sent to corresponding doctor terminal 3 by the priority level sequence of condition.
Further, in a preferred embodiment, for same a doctor, there is the different diseases of multiple subscription times
People, in the present embodiment, a doctor there are the reservation situation of 5 patients, it is remaining from reservation number of days be respectively 2 days by 12 days not
Deng: the subscription time of No.1 patient is 2 days, and the subscription time of No. two patients is 5 days, and the subscription time of No. three patients is 12 days,
The subscription time of No. four patients is 4 days, and the subscription time of No. five patients is 8 days.Processor 21 is suitable according to remaining time length
Ordered pair patient successively carries out the sequence of the priority level sequence of priority classification condition, for No.1 patient is made number one,
No. four patients come second, and No. two patients come third position, and No. five patients come the 4th, and No. three patients come the 5th,
Patient information is successively sent to the doctor according to the sequence by processor 21.
The above is only preferred embodiments of the present invention, are not intended to limit the implementation manners and the protection scope of the present invention, right
For those skilled in the art, it should can appreciate that and all replace with being equal made by description of the invention and diagramatic content
It changes and obviously changes obtained scheme, should all be included within the scope of the present invention.
Claims (10)
1. a kind of Intelligent statistical analysis system applied to medical data center is applied to medical data center, including server
With the storage network for connecting the server, which is characterized in that
The server includes a receiving module, for receiving externally input patient information；
The storage network is for storing the patient information；
The storage network includes multiple storage regions, and each storage region and a kind of patient information one are a pair of
It answers；
Include a processor in the storage network, the processor further comprises:
Taxon, according to priority classification condition preset in the storage network to being stored in the storage network
In the patient information classify；
Storage unit is connect with the taxon, the storage address of the sorted patient information is saved in corresponding
The storage region；
Analytical unit is connect with the storage unit, and successively obtains corresponding memory block according to the sequence of the priority level
The storage address in domain, and according to the storage address obtain the associated patient information be sent to it is external with institute
State the doctor terminal of server connection；
Wherein, the processor works when the server and/or the storage network are in idle moment.
2. being applied to the Intelligent statistical analysis system at medical data center as described in claim 1, which is characterized in that intelligence system
Score analysis system includes multiple patient terminals and multiple doctor terminals, and each patient terminal passes sequentially through described
Server and the storage network are connect with each doctor terminal, and patient terminal is for sending patient information.
3. being applied to the Intelligent statistical analysis system at medical data center as described in claim 1, which is characterized in that the trouble
Person's information includes the identity information of patient, subscription time, main clinical manifestation and medical history case information；
Wherein the identity information in each patient information respectively with told subscription time, the main clinical manifestation and
The medical history case information is associated.
4. being applied to the Intelligent statistical analysis system at medical data center as described in claim 1, which is characterized in that the place
Managing device further includes statistic unit, and the statistic unit is used to record of the storage address of each storage region respectively
Number.
5. being applied to the Intelligent statistical analysis system at medical data center as described in claim 1, which is characterized in that described to deposit
Reservoir network further include:
Condition storage assembly: for storing the preset priority classification condition.
6. being applied to the Intelligent statistical analysis system at medical data center as described in claim 1, which is characterized in that described excellent
First grade separation condition includes outpatient service classification.
7. being applied to the Intelligent statistical analysis system at medical data center as claimed in claim 3, which is characterized in that described excellent
First grade separation condition includes the subscription time in the patient information of each doctor terminal；
The subscription time in each patient information is arranged, determines the priority scheduling fraction according to putting in order
The priority level of class condition.
8. the use as claimed in claim 7 in the Intelligent statistical analysis system at medical data center, which is characterized in that described excellent
First grade separation condition includes the information processing capacity of the patient information:
The information processing capacity of all patient informations of the same subscription time is compared, is determined according to comparing result
The priority level of the priority classification condition.
9. being applied to the Intelligent statistical analysis system at medical data center as described in claim 1, which is characterized in that described excellent
First grade separation condition includes the data volume that the doctor terminal carries out information processing to the patient information；
The data volume is compared, the priority level of the priority classification condition is determined according to comparing result.
10. being applied to the Intelligent statistical analysis system at medical data center as described in claim 1, which is characterized in that described
Processor is microcontroller and/or processor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910009334.8A CN109785947A (en) | 2019-01-04 | 2019-01-04 | A kind of Intelligent statistical analysis system applied to medical data center |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910009334.8A CN109785947A (en) | 2019-01-04 | 2019-01-04 | A kind of Intelligent statistical analysis system applied to medical data center |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013206284A (en) * | 2012-03-29 | 2013-10-07 | Fujitsu Ltd | Electronic medical record system and medical examination information display method |
| CN105184045A (en) * | 2015-07-17 | 2015-12-23 | 苏州信亨自动化科技有限公司 | Mobile position information based medical doctor-seeing queuing method and system |
| CN107341331A (en) * | 2016-11-18 | 2017-11-10 | 张益群 | A kind of medical information processing system and medical information processing method |
-
2019
- 2019-01-04 CN CN201910009334.8A patent/CN109785947A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013206284A (en) * | 2012-03-29 | 2013-10-07 | Fujitsu Ltd | Electronic medical record system and medical examination information display method |
| CN105184045A (en) * | 2015-07-17 | 2015-12-23 | 苏州信亨自动化科技有限公司 | Mobile position information based medical doctor-seeing queuing method and system |
| CN107341331A (en) * | 2016-11-18 | 2017-11-10 | 张益群 | A kind of medical information processing system and medical information processing method |
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