CN109376635B - A kind of nursing quality checking system and security incident report method - Google Patents
A kind of nursing quality checking system and security incident report method Download PDFInfo
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Abstract
The invention discloses a kind of nursing quality checking system, including multiple cameras, central server, multiple processing terminals and multiple scanners, central server is connected by Internet of Things with multiple cameras, multiple processing terminals, multiple scanners.Positive negative sample is established in several ways, and it is preferable to use the sample images of sufferers themselves to carry out classifier training, improve the accuracy of classifier；Meanwhile when for sample rareness, analog sample image can be generated, training data is increased, improves the training effect of classifier.
Description
Technical field
The present invention relates to field of image processings, and in particular to a kind of nursing quality checking system and the security incident side of reporting
Method.
Background technique
With internet+medical treatment development, the artificial intelligence process in medical treatment is more and more, but at existing medical events
The overwhelming majority also relies on artificial treatment in when reason, and artificial treatment efficiency is slow, and dangerous；And it is auxiliary even if there is artificial intelligence to carry out
Processing is helped, but it is generally only simple automation, correctness is not high, easily causes wrong report.
And the application automatically analyzes corresponding security incident, thus to nursing matter by utilizing image analyzing and processing technology
Amount is examined, so that is occurred in automatic collection nursing process influences safe security incident and report automatically, facilitates medical treatment
The quick processing of security incident, and basis is provided for retrospect later.
Summary of the invention
(1) the technical issues of solving
For automated image analysis is carried out in existing medical safety event, internet+medical treatment automation is improved, and lead to
The foundation for crossing sample database improves the accuracy of automatic analysis and judgment.
(2) technical solution and beneficial effect
The object above present invention is achieved by the following technical programs:
A kind of nursing quality checking system, including multiple cameras, central server, multiple processing terminals and multiple scannings
Device, central server are connected by Internet of Things with multiple cameras, multiple processing terminals, multiple scanners；
Multiple cameras can remotely be controlled by central server, and multiple cameras are arranged in hospital bed, ward doorway, examine
Room, operating room and corridor position；Multiple cameras can receive the acquisition instructions of central server, and be carried out according to acquisition instructions
Image Acquisition, and send the image of acquisition to central server；
Multiple scanners are connect with central server by Internet of Things, and multiple scanners be mounted on ward, consulting room,
Operating room and corridor；Bar code or two-dimension code label are directed at multiple scanners in the patient with bar code or two-dimension code label
In one of them when, one of them in multiple scanners can identify bar code or two-dimension code label, and by the item of identification
Shape code or two-dimension code label information send central server to by Internet of Things, wherein the bar code or two-dimension code label packet
Containing patient information；
Multiple processing terminals are connected with printer, when doctor by one of multiple processing terminals come for patient's Admission
When formality, by the printing of doctor, printer printing is controlled according to patient information and generates an item comprising patient information
Shape code or two-dimension code label, and the bar code or two-dimension code label are pasted on patient's clothes or bracelet；
Central server, it includes sample database, nursing qualities to examine judgement system and medical information management system, in
Centre server can receive the acquisition image of multiple camera transmission and be saved into sample database or send nursing matter to
Amount examination judgement system carries out nursing quality examination judgement；The bar code or two dimensional code mark of multiple scanner transmission can also be received
Information is signed, and records the patient information by bar code or two-dimension code label information acquisition and identifies the bar code or two dimensional code
Scanner ID, and central server has recorded the ID of each scanner and the incidence relation of its installation site in advance；
Nursing quality examination judges that system can judge whether there is security incident in image to its received image, and
When security incident occurs for judgement, the image, patient information and the security incident type that by security incident warning message, currently judge
It is sent to medical information management system；
Medical information management system receives and record security event, and people corresponding to the corresponding patient of query safe event
Member, is then sent to corresponding personnel for security incident, patient information, while security incident is saved and being counted；
Wherein, sample database includes negative sample image and positive sample image；
Negative sample image is established according to following manner: the patient with bar code or two-dimension code label is by bar code or two dimension
The bar code or two-dimension code label are identified when the scanner being arranged on code alignment hospital bed, and by the bar code of identification or two dimensional code mark
Information is signed by transmission of network to central server；Central server identifies the bar code or two-dimension code label information includes
The ID of patient information and the identification bar code or the scanner of two-dimension code label information, and it is every according further to what is recorded in advance
The ID of a scanner and the incidence relation of its installation site, obtain the radio frequency identification for identifying the bar code or two-dimension code label information
The installation site of scanner, then central server judges whether the patient information identified is identified for the first time and the scanning
Whether the installation site of device is hospital bed, if the patient information identified is identified for the first time and the scanner installation site
It is hospital bed, then central server sends the corresponding camera of installation site of image acquisition commands to scanner, and camera starts
Acquisition image simultaneously sends the image of acquisition to central server, and the image of acquisition is saved as patient information pair by central server
The negative sample image answered is to sample database；
Positive sample image is established in the following way: when security incident occurs for nursing quality examination judgement system judgement
Image is saved in sample database and as positive sample image；It is obtained by other image data bases and security incident is occurring just
Sample image.
Preferred: nursing quality examination judgement system specifically includes following device:
Training module selects positive and negative samples image from sample database, uses the negative sample image and positive sample of selection
The training of this image obtains a classifier；
Received image is inputted the classifier of above-mentioned training, output category result, and is in classification results by judgment module
There are when security incident, send warning message to medical information management system；
Wherein training module specifically includes:
Preprocessing module pre-processes negative sample image and positive sample image, and pretreatment includes returning image size
One changes and converts thereof into gray level image；
Characteristic extracting module extracts SIFT feature, the SURF feature of pretreated each gray level image；
Classifier obtains module, and SIFT feature, the SURF feature extracted using characteristic extracting module carry out the branch for having supervision
Vector machine training is supportted, trained classifier is obtained.
A kind of security incident identification report method using nursing quality checking system, wherein security incident identification reports
System includes multiple cameras, central server, multiple processing terminals and multiple scanners, central server by Internet of Things with
Multiple cameras, multiple processing terminals, multiple scanners are connected；It is characterized in that, which comprises
S1, sample database is established:
Establish negative sample image: the patient with bar code or two-dimension code label is after hospital bed, the scanning of arranging hospital beds
Device identifies the bar code or two-dimension code label, and gives the bar code of identification or two-dimension code label information to center by transmission of network
Server；Central server identifies the bar code or two-dimension code label information includes patient information and identify the bar code or
The ID of the scanner of two-dimension code label information, and according further to the ID of each scanner recorded in advance and its installation site
Incidence relation, obtain the installation site for identifying the scanner of the bar code or two-dimension code label information, then central server
Judge whether the patient information identified is whether identified for the first time and the scanner installation site is hospital bed, if the knowledge
Not Chu patient information be identified for the first time and the scanner installation site be hospital bed, then central server sends Image Acquisition
The corresponding camera of the installation site of scanner is ordered, camera starts to acquire image and sends the image of acquisition to center
The image of acquisition is saved as the corresponding negative sample image of patient information to sample database by server, central server；
Establish positive sample image: the image when security incident occurs for nursing quality examination judgement system judgement is saved in sample
In database and as positive sample image；The positive sample image that security incident occurs is obtained by other image data bases；
S2, acquisition patient's realtime graphic:
Nursing quality examines judgement system automatically by central server to the camera shooting hair of the corresponding hospital bed of all patients
Real time image collection is sent to instruct, collected realtime graphic is sent to the nursing quality examination judgement of central server by camera
System, nursing quality examine judgement system for each secondary realtime graphic, are performed both by following S3 training step and S4 judgment step；
S3, training step:
S31 selects sample image from sample database:
The negative sample image and second predetermined quantity of the first predetermined quantity are selected from the sample database established in S1
Positive sample image: according to the realtime graphic obtained in step S2, the corresponding current patents' information of the realtime graphic is obtained, according to this
Current patents' information selects the corresponding negative sample image of the current patient information and positive sample image from sample database；
S32 uses the step S31 negative sample image selected and positive sample image training classifier；
S4, judgment step:
The realtime graphic obtained in step S2 is input to the classifier that step S3 training obtains and carries out security incident judgement,
When classifier output belongs to security incident, security incident judges that system is issued to the medical information management system of central server
Alarm, while the realtime graphic of acquisition, patient information and security incident type also being sent together, medical information management system is protected
The security incident is deposited, and finds attending physician and the Night shift of patient according to patient information, to attending physician and supervisor's shield
The mobile phone of scholar sends warning information, while sending realtime graphic, patient information and security incident type, attending physician and master together
It manages and protects scholar to judge by realtime graphic, and sends response message to medical information management system；
Wherein S32 specifically comprises the following steps:
S321 pre-processes negative sample image and positive sample image, pretreatment include by image size normalization simultaneously
Convert thereof into gray level image；
S322 extracts SIFT feature, the SURF feature of pretreated each gray level image；
S323, the SIFT feature extracted using S322 step, SURF feature are carried out the SVM training for having supervision, obtained
To trained classifier.
Preferably, in step S4, if medical information management system does not receive attending physician and supervisor's shield within a certain period of time
The response message of scholar, then by warning information and realtime graphic, patient information and security incident type be sent to the second doctor and
Second nurse also can be transmitted to higher level doctor and higher level nurse.
Preferably, when judging security incident in S4 step, by the corresponding realtime graphic of security incident, patient information,
Security incident type is sent to sample database, and sample database is saved as positive sample image；Meanwhile sentencing when in S4 step
It is disconnected when there is no security incident, realtime graphic, patient information are sent to sample database, sample database is saved as bearing
Sample image.
Preferably, when the quantity of the negative sample image of patient a certain in sample database or positive sample image is more than scheduled
When quantity, the realtime graphic of a certain patient of acquisition is no longer updated to sample database, subsequent simultaneously for a certain patient
The realtime graphic of acquisition is directly classified using the classifier for the patient that training obtained in the past without step S3 is no longer executed,
Directly execute step S4.
Preferably, sample image is selected to specifically include in the step S31:
According to the realtime graphic obtained in step S2, the corresponding current patents' information of the realtime graphic is obtained, according to deserving
Preceding patient information selects the negative sample image and of corresponding first predetermined quantity of the current patient information from sample database
The positive sample image of two predetermined quantities, the negative sample image of the current patents obtained from sample database first and current patents
Positive sample image, if the first quantity of the negative sample image of the acquisition less than the first predetermined quantity, then obtains other patients
The second quantity negative sample quantity so that the first quantity and the second quantity and be equal to the first predetermined quantity；If obtaining just
The third quantity of sample image then obtains from common image database again and simulates positive sample image less than the second predetermined quantity
The positive sample quantity of the 4th quantity of middle random selection so that third quantity and the 4th quantity and be equal to the second predetermined quantity.
Through the above scheme, the application is enabled to reach following technical effect:
1) by radio frequency identification automatic collection realtime graphic, camera intelligent trigger is operated, and can remotely controls
System；
2) sample database is established, and establishes positive negative sample in several ways, and it is preferable to use the samples of sufferers themselves
Image carries out classifier training, improves the accuracy of classifier.
3) security incident is automatically analyzed by image analysis processing, and sends warning message automatically to corresponding personnel, thus
So that corresponding personnel are quickly handled, treatment effeciency is improved, safety is also improved.
Detailed description of the invention
Fig. 1 is nursing quality checking system of the invention；
Fig. 2 is the process flow given the correct time in security incident identification in nursing quality checking system of the invention；
Fig. 3 is manual entry security incident interface of the invention；
Fig. 4 is security incident query interface of the invention；
Fig. 5 is that security incident of the invention counts interface.
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 every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, nursing quality checking system includes multiple cameras, central server, multiple processing terminals, wherein
Central server is connected by Internet of Things with multiple cameras, multiple processing terminals, and multiple cameras can be taken by center
Business device remotely controls, and multiple cameras are located at the positions such as hospital bed, ward doorway, consulting room, operating room and corridor.
Medical intelligent system further includes multiple scanners, and multiple scanner is connect with central server by Internet of Things,
And multiple scanners are mounted on the positions such as ward, consulting room, operating room and corridor.Multiple processing terminals are also connected with printer, when
Doctor by one of multiple processing terminals come for patient's Admission formality when, by the printing of doctor, according to patient
Information come control printer printing generate one include patient information bar code or two-dimension code label, and by the bar code or two dimension
Code label is pasted on patient's clothes or bracelet.It is described to have the patient of bar code or two-dimension code label close to multiple scannings
When one of them in device, one of them in multiple scanners can identify the bar code or two-dimension code label, the bar code
Or two-dimension code label includes patient information, thus by the bar code of identification or two-dimension code label information by transmission of network to center
Server, central server records pass through the patient information of bar code or two-dimension code label information acquisition and identify the bar code
Or the ID of the scanner of two-dimension code label information.And central server has recorded the ID and its installation site of each scanner in advance
Incidence relation.
Central server includes sample database, nursing quality examination judgement system and medical information management system.
As shown in Fig. 2, nursing quality examination judgement system executes security incident judgment method, this method includes establishing sample
Database, acquisition patient's realtime graphic, training step and judgment step.
S1, sample database is established.
Sample image includes positive sample image and negative sample image, and positive sample image includes the figure that medical safety event occurs
Picture, which includes abnormal patient respiratory, patient's falling from bed, catheter manipulation, patient takes medicine, infusion is completed；Negative sample
This image is the image that security incident does not occur.In sample database other than saving sample image, sample image is also saved
Belong to positive negative sample {+1, _ 1 }, corresponding patient information, security incident type, wherein security incident type includes patient respiratory
It is abnormal, patient's revival, patient's falling from bed, catheter manipulation, patient takes medicine, infusion is completed.
When carrying out sample image acquisition, there are two types of sources for the acquisition of negative sample image:
The first, is after patient handles into-hospital procedures, in the patient with bar code or two-dimension code label close to hospital bed
Afterwards, the scanner recognition of the arranging hospital beds bar code or two-dimension code label, and by the bar code of identification or two-dimension code label information
By transmission of network to central server；Patient's letter that central server identifies the bar code or two-dimension code label information includes
Cease and identify the ID of the scanner of the bar code or two-dimension code label information, and according further to each scanning recorded in advance
The ID of device and the incidence relation of its installation site, obtain the installation position for identifying the scanner of the bar code or two-dimension code label information
It sets, then central server judges whether the patient information identified is that identified for the first time and the scanner installation site is
No is hospital bed, if it is hospital bed that the patient information identified, which is identified for the first time and the scanner installation site, center
Server sends the corresponding camera of installation site of image acquisition commands to scanner, and camera starts to acquire image and will adopt
The image of collection sends central server to, and the image of acquisition is saved as the corresponding negative sample image of patient information by central server
To sample database.Preferably, camera image of taken at regular intervals and sends central server at regular intervals, center
Server saves the images of all acquisitions to sample database as negative sample image, and by the image of acquisition and patient information phase
Association.
This kind of mode directly can also execute negative sample collecting work by doctor or nurse, when specific implementation, handle in patient
After complete staying-in-hospital procedures, one in doctor or the multiple processing terminals of nurse operation sends negative sample image to central server and adopts
Collection instruction, then central server sends image acquisition commands to the camera of disease bed position, and camera is by the figure of acquisition
As being sent to central server, the image of acquisition, patient information are saved in sample database as negative sample by central server
Image, wherein multi collect instruction can be transmitted in doctor or nurse, to acquire the image of patient's different angle, different gestures.
Second, the negative sample of required amount of other patients saved is obtained by the sample database of central server
This image, and the negative sample image of other patients is to be obtained in other patient's Admission formalities according to above-mentioned first way
Negative sample image.
There are three types of sources for the acquisition of positive sample image:
The first, is when the security incident of central server judges that security incident occurs for system judgement, used acquisition
Image, that is to say, that when the image of acquisition is input in security incident judgement system, which judges that system judgement occurs
When security incident, this image acquired is saved in sample database and as positive sample image, while record security event
Type, the type includes that patient respiratory is abnormal, patient's revival, patient's falling from bed, catheter manipulation, patient takes medicine, infusion is completed, together
When the also corresponding patient information of record acquisition image.
Second, due to it is aforementioned the first occur probability it is smaller, thus it is collected occur security incident image compared with
It is few, particularly, judge system initially in use, the positive sample image of above-mentioned first way acquisition is not deposited also in security incident
It is needing to obtain some positive sample images that security incident occurs, and handmarking by public sample database first at this time
The type of patient information and security incident once can also obtain the multiple images for obtaining and security incident occurring by other means,
As positive sample image.
The third, the positive sample image obtained due to above-mentioned second is relatively difficult, and quantity is few, can reduce safe thing
Part judges the accuracy of system, thus we to need on the basis of the positive sample image acquired at second fitting to obtain more
A simulation positive sample image, approximating method are completed using confrontation generation network, method particularly includes:
A) it establishes confrontation and generates network, it includes discriminator and generator which, which generates network, and discriminator is depth convolution
Neural network comprising three convolutional layers and an output layer, input are random vector and a standard input picture, export and are
One analog image, Plays input picture are generated by calculator simulation；Discriminator is anti-neural network comprising five
Layer, three first layers are convolutional layer, and the 4th layer is full articulamentum, and the last layer is output layer, and input is the simulation of generator output
Image, it is true that analog image is exported by reference to true picture, or simulate.
B) alternative optimization discriminator and generator finally reach balance.
C) network then being generated using the confrontation of optimization and one standard input picture being generated into a secondary analog image, repetition is held
The row step obtains multiple analog images as multiple simulation positive sample images.
S2, acquisition patient's realtime graphic stage
Security incident judges that system is constantly in working condition, corresponding to all patients automatically by central server
The camera of hospital bed sends real time image collection instruction, specifically can polling mode processing, that is to say, that one disease of acquisition every time
The realtime graphic of the patient of bed, successively acquires the realtime graphic of the patient of all hospital beds, then fixed time intervals are successively adopted again
Collect the realtime graphic of all hospital beds, collected realtime graphic is sent to the security incident judgement system of central server by camera
System, security incident judge that system for each secondary realtime graphic, is performed both by following training step and judgment step.
S3, in the training stage comprising following steps:
S31 selects sample image from sample database.
The negative sample image and second predetermined quantity of the first predetermined quantity are selected from the sample database established in S1
Positive sample image:
According to the realtime graphic obtained in step S2, the corresponding current patents' information of the realtime graphic is obtained, according to deserving
Preceding patient information selects the corresponding negative sample image of the current patient information and positive sample image from sample database, i.e., excellent
It first selects the negative sample image of current patents obtained in the first manner in sample database and obtains in the first manner
The positive sample image of current patents.If the first quantity of the negative sample image obtained in the first manner is less than the first predetermined number
Amount, then obtain the negative sample quantity of the second quantity in the second again so that the first quantity and the second quantity and be equal to the
One predetermined quantity；If the third quantity of the positive sample image obtained in the first manner is less than the second predetermined quantity, then with
Two kinds of modes and the third mode obtain the positive sample quantity of the 4th quantity at random, so that third quantity and the sum of the 4th quantity wait
In the second predetermined quantity.
S32, using the step S31 negative sample image selected and positive sample image training classifier, which can be with
It is carried out, is specifically included by the way of SVM:
S321 pre-processes negative sample image and positive sample image, pretreatment include by image size normalization simultaneously
Convert thereof into gray level image；
S322 extracts SIFT feature, the SURF feature of pretreated each gray level image；
S323, the SIFT feature extracted using S322 step, SURF feature are carried out the SVM training for having supervision, obtained
To trained classifier.
Preferably, respective type is respectively trained according to negative sample image and the corresponding security incident type of positive sample image
Security event classification device.
S4, judgment step:
The realtime graphic obtained in step S2 is input to the classifier that step S3 training obtains and carries out security incident judgement,
When classifier output belongs to security incident, security incident judges that system is issued to the medical information management system of central server
Alarm, while the realtime graphic of acquisition, patient information and security incident type also being sent together, medical information management system is protected
The security incident is deposited, and finds attending physician and the Night shift of patient according to patient information, to attending physician and supervisor's shield
The mobile phone of scholar sends warning information, while sending realtime graphic, patient information and security incident type, attending physician and master together
It manages and protects scholar to judge by realtime graphic, and sends response message to medical information management system, if managing medical information system
System does not receive the response message of attending physician and Night shift within a certain period of time, then by warning information and realtime graphic, trouble
Person's information and security incident type are sent to the second doctor and the second nurse, also can be transmitted to higher level doctor and higher level nurse.
It preferably, further include step S5, statistics examination step, the security incident inquired in medical information management system is pacified
The corresponding charge nurse of total event counts the number for the security incident that each nurse occurs and the type of security incident, calculates
The score of security incident occurs for each nurse, to be examined according to nursing quality of the score to all nurses, to mention
For examination standard.
Preferably, when judging security incident in S4 step, by the corresponding realtime graphic of security incident, patient information,
Security incident type etc. is sent to sample database, and sample database is saved as positive sample image；Meanwhile when in S4 step
When there is no security incident in judgement, realtime graphic, patient information etc. can also be sent to sample database, sample database by its
Save as negative sample image.
Preferably, when the quantity of the negative sample image of patient a certain in sample database or positive sample image is sufficiently large,
Such as when more than scheduled quantity, the realtime graphic of a certain patient of acquisition is no longer updated to sample database, simultaneously for
Without being trained, i.e. step S3 is no longer executed the realtime graphic of a certain patient's subsequent acquisition, directly using former trained
To the classifier of the patient classify, i.e., directly execute step S4.
Preferably, step S32 is trained with neural network, can also have the SVM of supervision to carry out.
As supplement, when nursing quality examination judgement system does not judge security incident, but doctor or nurse pass through scene
When judging security incident, doctor or nurse can directly pass through medical information management system typing security incident, can be such as Fig. 3 institute
Show.
Medical information management system can provide the inquiry and statistics that interface carries out security incident for healthcare givers, specific visible
Shown in Figure 4 and 5.
Preferably, the bar code or two-dimension code label information of medical information management system also receiver-scanner identification, and sentence
The break identification position of the scanner is sent out if identification position is located at hospital doorway or patient is not allowed to the position of entrance
Warning information is sent to attending physician or cures mainly nurse.
Claims (7)
1. a kind of nursing quality checking system, including multiple cameras, central server, multiple processing terminals and multiple scannings
Device, central server are connected by Internet of Things with multiple cameras, multiple processing terminals, multiple scanners；
Multiple cameras can remotely be controlled by central server, and multiple cameras are arranged in hospital bed, ward doorway, consulting room, hand
Art room and corridor position；Multiple cameras can receive the acquisition instructions of central server, and carry out image according to acquisition instructions
Acquisition, and send the image of acquisition to central server；
Multiple scanners are connect with central server by Internet of Things, and multiple scanners are mounted on ward, consulting room, operation
Room and corridor；Bar code or two-dimension code label are aligned in multiple scanners in the patient with bar code or two-dimension code label
One of them when, one of them in multiple scanners can identify bar code or two-dimension code label, and by the bar code of identification
Or two-dimension code label information sends central server to by Internet of Things, wherein the bar code or two-dimension code label information include to suffer from
Person's information；
Multiple processing terminals are connected with printer, when doctor by one of multiple processing terminals come for patient's Admission formality
When, by the printing of doctor, printer printing is controlled according to patient information and generates a bar code comprising patient information
Or two-dimension code label, and the bar code or two-dimension code label are pasted on patient's clothes or bracelet；
Central server, it includes sample database, nursing quality examination judgement system and medical information management system, center clothes
Business device can receive the acquisition image of multiple camera transmission and be saved into sample database or send nursing quality to and examine
Core judges that system carries out nursing quality examination judgement；The bar code or two-dimension code label letter of multiple scanner transmission can also be received
Breath, and record the patient information by bar code or two-dimension code label information acquisition and identify sweeping for the bar code or two dimensional code
The ID of device is retouched, and central server has recorded the ID of each scanner and the incidence relation of its installation site in advance；
Nursing quality examination judges that system can judge whether there is security incident in image to its received image, and is sentencing
When disconnected generation security incident, image, patient information and the security incident type by security incident warning message, currently judged is sent
To medical information management system；
Medical information management system receives and record security event, and personnel corresponding to the corresponding patient of query safe event,
Then security incident, patient information are sent to corresponding personnel, while security incident is saved and counted；
Wherein, sample database includes negative sample image and positive sample image；
Negative sample image is established according to following manner: the patient with bar code or two-dimension code label is by bar code or two dimensional code pair
The bar code or two-dimension code label are identified when the scanner being arranged on quasi- hospital bed, and the bar code of identification or two-dimension code label are believed
Breath is by transmission of network to central server；Central server identifies the bar code or the patient that two-dimension code label information includes
Information and identify the bar code or two-dimension code label information scanner ID, and swept according further to each of recording in advance
The ID of device and the incidence relation of its installation site are retouched, the frequency identification scan for identifying the bar code or two-dimension code label information is obtained
The installation site of device, then central server judges whether the patient information identified is identified for the first time and the scanner
Whether installation site is hospital bed, if it is disease that the patient information identified, which is identified for the first time and the scanner installation site,
Bed, then central server sends the corresponding camera of installation site of image acquisition commands to scanner, and camera starts to acquire
Image simultaneously sends the image of acquisition to central server, and it is corresponding that the image of acquisition is saved as patient information by central server
Negative sample image is to sample database；
Positive sample image is established in the following way: the image when security incident occurs for nursing quality examination judgement system judgement
It is saved in sample database and as positive sample image；The positive sample that security incident occurs is obtained by other image data bases
Image.
2. system according to claim 1, it is characterised in that: nursing quality examination judgement system specifically includes following dress
It sets:
Training module selects positive and negative samples image from sample database, uses the negative sample image and positive sample figure of selection
As training obtains a classifier；
Received image is inputted the classifier of above-mentioned training, output category result, and is to exist in classification results by judgment module
When security incident, warning message is sent to medical information management system；
Wherein training module specifically includes:
Preprocessing module pre-processes negative sample image and positive sample image, and pretreatment includes by image size normalization
And convert thereof into gray level image；
Characteristic extracting module extracts SIFT feature, the SURF feature of pretreated each gray level image；
Classifier obtains module, SIFT feature, the SURF feature extracted using characteristic extracting module have the support of supervision to
The training of amount machine, obtains trained classifier.
3. a kind of security incident using nursing quality checking system identifies report method, wherein security incident identifies upper syndicate
System includes multiple cameras, central server, multiple processing terminals and multiple scanners, and central server passes through Internet of Things and more
A camera, multiple processing terminals, multiple scanners are connected；It is characterized in that, which comprises
S1, sample database is established:
Establish negative sample image: the patient with bar code or two-dimension code label after hospital bed, know by the scanner of arranging hospital beds
The not bar code or two-dimension code label, and the bar code of identification or two-dimension code label information are passed through into transmission of network to central service
Device；The patient information and identify the bar code or two dimension that central server identifies the bar code or two-dimension code label information includes
The ID of the scanner of code label information, and according further to the pass of the ID of each scanner recorded in advance and its installation site
Connection relationship obtains the installation site for identifying the scanner of the bar code or two-dimension code label information, and then central server judges
Whether the patient information identified is whether identified for the first time and the scanner installation site is hospital bed, if this is identified
Patient information be identified for the first time and the scanner installation site be hospital bed, then central server sends image acquisition commands
To the corresponding camera of installation site of scanner, camera starts to acquire image and sends the image of acquisition to central service
The image of acquisition is saved as the corresponding negative sample image of patient information to sample database by device, central server；
Establish positive sample image: the image when security incident occurs for nursing quality examination judgement system judgement is saved in sample number
According in library and as positive sample image；The positive sample image that security incident occurs is obtained by other image data bases；
S2, acquisition patient's realtime graphic:
It is real that nursing quality examines judgement system to send automatically by central server to the camera of the corresponding hospital bed of all patients
When image capture instruction, camera by collected realtime graphic be sent to central server nursing quality examination judgement system
System, nursing quality examine judgement system for each secondary realtime graphic, are performed both by following S3 training step and S4 judgment step；
S3, training step:
S31 selects sample image from sample database:
The negative sample image of the first predetermined quantity and the positive sample of the second predetermined quantity are selected from the sample database established in S1
This image: according to the realtime graphic obtained in step S2, obtaining the corresponding current patents' information of the realtime graphic, current according to this
Patient information selects the negative sample image and second of corresponding first predetermined quantity of the current patient information from sample database
The positive sample image of predetermined quantity, the negative sample image of the current patents obtained from sample database first and current patents'
Positive sample image, if the first quantity of the negative sample image of the acquisition less than the first predetermined quantity, then obtains other patients'
The negative sample quantity of second quantity so that the first quantity and the second quantity and be equal to the first predetermined quantity；If the positive sample obtained
The third quantity of this image is then obtained less than the second predetermined quantity from common image database and in simulation positive sample image again
Randomly choose the positive sample quantity of the 4th quantity so that third quantity and the 4th quantity and be equal to the second predetermined quantity；
S32 uses the step S31 negative sample image selected and positive sample image training classifier；
S4, judgment step:
The realtime graphic obtained in step S2 is input to the obtained classifier of step S3 training and carries out security incident judgement, when point
When the output of class device belongs to security incident, security incident judges that system is issued to the medical information management system of central server and warns
Report, while the realtime graphic of acquisition, patient information and security incident type also being sent together, medical information management system saves
The security incident, and attending physician and the Night shift of patient are found according to patient information, to attending physician and Night shift
Mobile phone send warning information, while sending realtime graphic, patient information and security incident type, attending physician and supervisor together
Nurse is judged by realtime graphic, and sends response message to medical information management system；
Wherein S32 specifically comprises the following steps:
S321 pre-processes negative sample image and positive sample image, pretreatment include by image size normalization and by its
It is converted into gray level image；
S322 extracts SIFT feature, the SURF feature of pretreated each gray level image；
S323, the SIFT feature extracted using S322 step, SURF feature are carried out the SVM training for having supervision, are instructed
The classifier perfected.
4. according to the method described in claim 3, it is characterized in that,
In step S4, if medical information management system does not receive the response letter of attending physician and Night shift within a certain period of time
Breath, then be sent to the second doctor and the second nurse for warning information and realtime graphic, patient information and security incident type,
It can be transmitted to higher level doctor and higher level nurse.
5. according to the method described in claim 3, it is characterized in that, when judging security incident in S4 step, by safe thing
The corresponding realtime graphic of part, patient information, security incident type are sent to sample database, and sample database is saved as just
Sample image；Meanwhile when judging not there is no security incident in S4 step, realtime graphic, patient information are sent to sample number
According to library, sample database is saved as negative sample image.
6. according to the method described in claim 5, it is characterized in that, in the sample database negative sample image of a certain patient or
When the quantity of positive sample image is more than scheduled quantity, the realtime graphic of a certain patient of acquisition is no longer updated to sample data
Library no longer executes step S3 simultaneously for the realtime graphic of a certain patient's subsequent acquisition, is directly obtained using training in the past
The classifier of the patient is classified, directly execution step S4.
7. according to the method described in claim 3, it is characterized in that, selecting sample image to specifically include in the step S31:
According to the realtime graphic obtained in step S2, the corresponding current patents' information of the realtime graphic is obtained, according to the current trouble
Person's information selects the negative sample image of corresponding first predetermined quantity of the current patient information and second pre- from sample database
The positive sample image of fixed number amount, the negative sample image of the current patents obtained from sample database first and current patents are just
Sample image, if the first quantity of the negative sample image of the acquisition less than the first predetermined quantity, then obtains the of other patients
The negative sample quantity of two quantity so that the first quantity and the second quantity and be equal to the first predetermined quantity；If the positive sample obtained
The third quantity of image less than the second predetermined quantity, then obtain again from common image database and simulation positive sample image in
Machine selects the positive sample quantity of the 4th quantity so that third quantity and the 4th quantity and be equal to the second predetermined quantity.
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