CN108461154A - A kind of Hospital Infection managing device and method for managing and monitoring - Google Patents
A kind of Hospital Infection managing device and method for managing and monitoring Download PDFInfo
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Abstract
The invention discloses a kind of Hospital Infection managing device and method for managing and monitoring, including Hospital Infection management server, information for hospital integrated platform, hospital information system, laboratory information system, Picture Archiving and Communication System, electronic medical record system, nosocomial infection detection service device, wechat enterprise number server, smart mobile phone；It is pushed by new media information, picture and text propaganda and education, the various aspects interaction function such as questionnaire survey realizes plan（Plan）, execute（Do）, check（Check）, adjustment（Action）The nosocomial infection overall flow management of closed loop.The present invention improves doubtful institute's sense detection accuracy, reduces working doctor amount, optimizes Hospital Infection management process, can be applied to Hospital Infection.
Description
Technical field
The invention belongs to medical sanitary technology fields, and in particular to a kind of Hospital Infection managing device and monitoring management
Method.
Background technology
Nosocomial infection refers to the infection that inpatient obtains in hospital, includes in the infection and curing that period occurs of being hospitalized
The infection occurred after being left hospital in institute, many Implementing Hospitals Information Based Hospital Infection contral management work.With engineering
It practises, the development of wechat enterprise number and information for hospital platform, nosocomial infection information management work has welcome further improved chance.
Traditional nosocomial infection information system realizes basic monitoring and the management function of nosocomial infection.Publication number CN201410658773
(authorized announcement date：2017.05.17 a kind of institute sense equipment remote monitoring management system and method for managing and monitoring) are disclosed, it should
Invention monitors institute by fore device and feels the operation data of equipment and the data of institute's sense equipment process of work, solves
It needs the mode of artificial gathered data that could obtain institute's sense equipment operation condition and work completion situation, reduces monitoring period,
And monitoring efficiency is improved, but it is a lack of the orderly management that event is felt to institute.Publication number CN201410636914 (the applyings date：
2014.11.13 a kind of Infection Prevention and control whole-process management system and method) are disclosed, using hardware configuration
Design is felt early warning interpretation conditional information by the institute set and comprehensively, fast and accurately retrieve, greatly reduces sense
The range for consulting case needed for staff is controlled, sensing control working efficiency is improved, but is a lack of the information push that new media has,
Picture and text propaganda and education, the various aspects interaction function such as questionnaire survey, and also early warning interpretation is based primarily upon the basic skills of gathered data, lacks
The analytical judgment mode of machine learning.201611214892 (the applyings date of publication number CN：2016.12.26) disclose prediction, examine
The intelligent decision auxiliary system of disconnected, treatment and control nosocomial infection, can be according to the case history situation and hospital management work of patient
The measure combination epidemiology model taken as personnel effectively prejudges the probability that patient infects, and makes corresponding diagnosis
And treatment recommendations, but also lack the information push that new media has, and picture and text propaganda and education, the various aspects interaction function such as questionnaire survey,
For institute's sense prediction technique using fixed weight range by the way of, there is certain error, also without for different infection
Category classification processing, does not calculate the Main composition factor for analyzing and may causing nosocomial infection of all categories, can influence to prejudge patient
The probability calculation infected.
Invention content
The purpose of the present invention is to provide a kind of Hospital Infection managing device and method for managing and monitoring, further to push away
The technology of infection detection in hospital, realizes Hospital Infection management function.
In order to solve the above-mentioned technical problem, the machine learning of existing maturation used herein, wechat enterprise number are related
Function and information for hospital platform technology etc. integrate information push, picture and text a surname by the design of information-based means and hardware device
Religion, the functions such as questionnaire survey realize goal of the invention.The specific technical solution of use is as follows：
A kind of Hospital Infection managing device, including Hospital Infection management server, information for hospital integrated platform,
Hospital information system, laboratory information system, Picture Archiving and Communication System, electronic medical record system, nosocomial infection detection
Server, wechat enterprise number server, smart mobile phone；
The Hospital Infection management server is connect with the information for hospital integrated platform by hospital LAN；
The information for hospital integrated platform is connect with the hospital information system by hospital LAN；
The information for hospital integrated platform is connect with the laboratory information system by hospital LAN；
The information for hospital integrated platform is connect with the Picture Archiving and Communication System by hospital LAN；
The information for hospital integrated platform is connect with the electronic medical record system by hospital LAN；
The Hospital Infection management server is connected with the nosocomial infection detection service device by hospital LAN
It connects；
The Hospital Infection management server is connect with the wechat enterprise number server by hospital LAN；
The wechat enterprise number server passes through hospital's wireless network connection with the smart mobile phone；
The hospital information system is used to acquire the name of patient, and admission number etc. is hospitalized essential information and antibiolics
The medical informations such as product doctor's advice.
The laboratory information system is for acquiring the information such as blood samples of patients inspection and drug-fast bacteria detection.
The Picture Archiving and Communication System is for acquiring the inspection of patient chest x-ray, CT examination report result letter
Breath.
The electronic medical record system is for acquiring patient temperature status information.
The information for hospital integrated platform is for managing connection hospital information system, laboratory information system, medicine shadow
As archive and communication system, electronic medical record system.
The nosocomial infection detection service device is used for the Basic Medical Therapeutic Data of analyzing processing patient, and detects doubtful
The patient of nosocomial infection.
The wechat enterprise number server is for providing information push, picture and text propaganda and education, many-sided interaction such as questionnaire survey
Function.
The smart mobile phone is used to receiving and showing all kinds of information on services that wechat enterprise number server provides, and sends
Related feedback information gives wechat enterprise number server.
The Hospital Infection management server is for managing connection information for hospital integrated platform, nosocomial infection detection
Server, wechat enterprise number server, manages the overall flow of nosocomial infection.
A kind of Hospital Infection management method is as follows：
Step A1, institute feel staff and arrange nosocomial infection related detecting method and policy, serviced by wechat enterprise number
The picture and text propaganda and education function that device provides is sent to the smart mobile phone of doctor；
Step A2, Hospital Infection management server are detected in nosocomial infection using nosocomial infection method for establishing model and are taken
Business device establishes nosocomial infection model, and Hospital Infection management server detects doubtful hospital using nosocomial infection detection method and feels
Dye event, and it is pushed to doctor, doctor reports nosocomial infection event using nosocomial infection report method；
Step A3, institute sense staff receive and process nosocomial infection event；
Step A4, institute feel staff and arrange infections relating case in Hospital Infection management server, generate questionnaire
Investigation, the questionnaire survey function of being provided by wechat enterprise number server are sent to the smart mobile phone of doctor, and doctor, which fills in, to be finished
After send back Hospital Infection management server, institute feels staff and analyzes doctor's reported data, and questionnaire survey data are formed
Reform advice readjusts nosocomial infection related detecting method and policy.
The nosocomial infection report method is as follows：
Step B1, setting infection category set is { C in Hospital Infection management server1,C2...Cj...CJ,
Wherein CjFor j-th of infection classification, 1≤j≤J, J are infection classification sum, Cj={ D1,D2...Dk...DK, wherein DkFor jth
K-th of case of a infection classification, 1≤k≤K, K are the total cases of j-th of infection classification；
Step B2, doctor voluntarily checks in institute's patient cases' information, or checks that Hospital Infection management server pushes away
The doubtful nosocomial infection case information that the nosocomial infection detection method sent detects；
Step B3, doctor judge whether the case is nosocomial infection case, if it is B4 is transferred to, are otherwise transferred to B8；
Step B4 generates infection case Dfind；
Step B5, the information push function provided by wechat enterprise number server push DfindFeel staff to institute；
Step B6, institute sense staff analyze cases of infection Dfind, if it is confirmed that for infection classification CjB7 is gone to, otherwise
Go to B8；
Step B7, by cases of infection DfindStore corresponding infection classification CjIn；
Step B8 reports end.
The nosocomial infection method for establishing model is as follows：
Step C1, Hospital Infection management server are loaded into all training set of the infection classification as principal component analysis,
Initialize j=0；
Step C2, j=j+1；
Step C3, Hospital Infection management server extract C to information for hospital integrated platform applicationj={ D1,
D2...Dk...DKIn all cases medical index information；
Step C4, information for hospital integrated platform extract antibiotic medicine information { drug from hospital information systemK, 1,
drugK, 2... drugK, a,...drugK, A, wherein drugk,aFor a-th of antibiotic usage dosage of kth part case, 1≤a≤
A, A are the Antibiotics number of kth part case；
Step C5, information for hospital integrated platform extract blood test information { blood from laboratory information systemK, 1,
bloodK, 2... bloodK, b,...bloodK, B, wherein bloodk,bFor b-th of blood test numerical value of kth part case, 1≤b
≤ B, B are the blood test species number of kth part case, and information for hospital integrated platform extracts drug-fast bacteria inspection from laboratory information system
Measurement information { cellK, 1, cellK, 2... cellK, c,...cellK, C, wherein cellk,cFor c-th of drug-fast bacteria of kth part case
Numerical value is detected, 1≤c≤C, C are that the drug-fast bacteria of kth part case detects species number；
Step C6, information for hospital integrated platform extract chest X-ray report knot from Picture Archiving and Communication System
Fruit information xrayk, CT examination report result information CTk；
Step C7, information for hospital integrated platform extract recent body temperature information { tem from electronic medical record systemK, 1, temK, 2,
...temK, d,...temK, D, wherein temk,dFor the d times measurement of bldy temperature numerical value of kth part case, 1≤d≤D, D are kth part disease
The measurement of bldy temperature number of example；
Step C8, by row arrangement, forms all indexs of all cases after all medical index information standardizations
Matrix
Wherein { xK, 1, xK, 2... xK, p,...xK, PBy { drugK, 1, drugK, 2... drugK, a,...drugK, A,
{bloodK, 1, bloodK, 2... bloodK, b,...bloodK, B, { cellK, 1, cellK, 2... cellK, c,...cellK, C,
xrayk, CTk, { temK, 1, temK, 2... temK, d,...temK, DBe integrated into from left to right in the same set, P=A+B+C+1
+1+D；
Step C9, nosocomial infection detection service device calculate the correlation matrix of X
Wherein
Wherein
Step C10, nosocomial infection detection service device seek the characteristic root { λ of matrix R1,λ2…λp…λP, and make it by size
It is ranked sequentially, λ1≥λ2≥…λp…≥λP≥0；
Step C11, nosocomial infection detection service device generate { λ1,λ2…λp…λPCorresponding principal component
Step C12, it is accumulated variables to set accumulative proportion threshold value STEP, i=0, i；
Step C13, i=i+1；
Step C14, nosocomial infection detection service device calculate principal component contribution rate of accumulative total
Step C15, if setp<STEP is transferred to C13, is otherwise transferred to C16；
Step C16, nosocomial infection detection service device determine that the corresponding feature vector of principal component isSense
Contaminate classification CjDetection threshold value Testj=setp；
Step C17, nosocomial infection detection service device generate infection classification CjDetection model
Step C18, if j<J is transferred to C2, is otherwise transferred to C19；
Step C19, nosocomial infection model foundation finish.
The nosocomial infection detection method is as follows：
Step D1 selects the detection collection as nosocomial infection model in institute patient cases, in the case collection of institute's all patients
For { D1,D2...Df...DF, DfFor f-th of inpatient case, 1≤f≤F, F are currently to initialize f=in institute patient populations
0；
Step D2, f=f+1；
Whether step D3 judges the patient cases it is determined that for the susceptible example of institute；If it is D12 is transferred to, it is otherwise transferred to D4；
Step D4 initializes j=0；
Step D5, j=j+1；
Step D6, Hospital Infection management server extract D to information for hospital integrated platform applicationfCorrelation in case
Information, information for hospital integrated platform extract antibiotic medicine information { drug from hospital information systemF, 1, drugF, 2,
...drugF, a,...drugF, A, information for hospital integrated platform extracts blood test information from laboratory information system
{bloodF, 1, bloodF, 2... bloodF, b,...bloodF, B, drug-fast bacteria detection information { cellF, 1, cellF, 2,
...cellF, c,...cellF, C, information for hospital integrated platform extracts chest X-ray from Picture Archiving and Communication System
Report result information xrayf, CT examination report result information CTf, information for hospital integrated platform extracts recent from electronic medical record system
Body temperature information { temF, 1, temF, 2... temF, d,...temF, D}；
Step D7 is arranged in order after all medical index information standardizations as { xF, 1, xF, 2... xF, p,
...xF, P}；
Step D8, by medical index information input infection classification CjDetection mould in corresponding nosocomial infection detection service device
Type is calculated, current=e1,1×xf,1+...ep,1×xf,p...+eP,1×xf,P；
Step D9, judges whether current is more than Testj, it is to be transferred to D10, is otherwise transferred to D11；
Step D10, the information push function that Hospital Infection management server is provided by wechat enterprise number server,
The doubtful nosocomial infection case detected is pushed to related doctor, j=J；
Step D11, if j<J is transferred to D5, is otherwise transferred to D12；
Step D12, if f<F is transferred to D2, is otherwise transferred to D13；
Step D13, nosocomial infection detection finish.
The present invention has advantageous effect.The present invention incorporates Hospital Infection by Hospital Infection management server
The overall process of management is pushed by new media information, picture and text propaganda and education, and the various aspects interaction function such as questionnaire survey realizes plan
(Plan), (Do) is executed, checked (Check), adjust the nosocomial infection overall flow management of (Action) closed loop.Nosocomial infection is supervised
It controls by the way of management server connects hospital other information system unit using information for hospital integrated platform, adopting for data of specification
Mode set so that when other information system is upgraded or adjusted, it is only necessary to and information for hospital integrated platform is connect
The change of mouth, the use without influencing Hospital Infection management server.Nosocomial infection is established using the method for machine learning
Model handles for different infection category classifications, calculates separately out the different weights of different classifications, analyze hospital of all categories
The Main composition factor of infection can refine and calculate the probability that patient infects.The nosocomial infection reported using related doctor
Case, constantly iterative calculation update nosocomial infection model, obtain more accurate result of calculation.The present invention improves doubtful institute's sense inspection
Accuracy is surveyed, reduces working doctor amount, optimizes Hospital Infection management process.
Description of the drawings
Fig. 1 is a kind of general structure schematic diagram of Hospital Infection managing device.
In figure：1- Hospital Infections management server, 2- information for hospital integrated platform, 3- hospital information systems, 4- are real
Test room information system, 5- Picture Archiving and Communication System, 6- electronic medical record systems, 7- nosocomial infection detection services device, 8-
Wechat enterprise number server, 9- smart mobile phones.
Fig. 2 is the flow chart of Hospital Infection management method.
Fig. 3 is the flow chart of nosocomial infection report method.
Fig. 4 is the flow chart of nosocomial infection method for establishing model.
Fig. 5 is the flow chart of nosocomial infection detection method.
Fig. 6 is the schematic diagram of Hospital Infection management method operation closed loop.
Specific implementation mode
Present invention will be explained in further detail with reference to the accompanying drawings and detailed description.
A kind of general structure schematic diagram of Hospital Infection managing device as shown in Figure 1 is it is found that it includes hospital's sense
Dye monitoring management server 1, information for hospital integrated platform 2, hospital information system 3, laboratory information system 4, medical image are deposited
Shelves and communication system 5, electronic medical record system 6, nosocomial infection detection service device 7, wechat enterprise number server 8, smart mobile phone 9；
The Hospital Infection management server 1 is connected with the information for hospital integrated platform 2 by hospital LAN
It connects；
The information for hospital integrated platform 2 is connect with the hospital information system 3 by hospital LAN；
The information for hospital integrated platform 2 is connect with the laboratory information system 4 by hospital LAN；
The information for hospital integrated platform 2 is connected with the Picture Archiving and Communication System 5 by hospital LAN
It connects；
The information for hospital integrated platform 2 is connect with the electronic medical record system 6 by hospital LAN；
The Hospital Infection management server 1 is connected with the nosocomial infection detection service device 7 by hospital LAN
It connects；
The Hospital Infection management server 1 is connected with the wechat enterprise number server 8 by hospital LAN
It connects；
The wechat enterprise number server 8 passes through hospital's wireless network connection with the smart mobile phone 9；
In the use of the present invention, the function of each component is described as follows.
The hospital information system 3 is used to acquire the name of patient, and admission number etc. is hospitalized essential information and antibiotic
The medical informations such as drug doctor's advice.
The laboratory information system 4 is for acquiring the information such as blood samples of patients inspection and drug-fast bacteria detection.
The Picture Archiving and Communication System 5 is for acquiring the inspection of patient chest x-ray, CT examination report result letter
Breath.
The electronic medical record system 6 is for acquiring patient temperature status information.
The information for hospital integrated platform 2 is for managing connection hospital information system, laboratory information system, medicine shadow
As archive and communication system, electronic medical record system.
The nosocomial infection detection service device 7 is used for the Basic Medical Therapeutic Data of analyzing processing patient, and detects to doubt
Like the patient of nosocomial infection.
The wechat enterprise number server 8 is for providing information push, picture and text propaganda and education, many-sided interaction such as questionnaire survey
Function.
The smart mobile phone 9 is used to receive and show all kinds of information on services of the offer of wechat enterprise number server 8, concurrently
Related feedback information is sent to give wechat enterprise number server.
The Hospital Infection management server 1 is for managing connection information for hospital integrated platform 2, nosocomial infection inspection
Server 7 is surveyed, wechat enterprise number server 8 manages the overall flow of nosocomial infection.
All parts in a kind of general structure schematic diagram of Hospital Infection managing device as shown in Figure 1 combine figure
The flow chart of Hospital Infection management method shown in 2 is described as follows：
Step A1, institute feel staff and arrange nosocomial infection related detecting method and policy, serviced by wechat enterprise number
The picture and text propaganda and education function that device 8 provides is sent to the smart mobile phone 9 of doctor；
Step A2, Hospital Infection management server 1 are detected using nosocomial infection method for establishing model in nosocomial infection
Server 7 establishes nosocomial infection model, and Hospital Infection management server 1 detects doubtful doctor using nosocomial infection detection method
Institute infects event, and is pushed to doctor, and doctor reports nosocomial infection event using nosocomial infection report method；
Step A3, institute sense staff receive and process nosocomial infection event；
Step A4, institute feel staff and arrange infections relating case in Hospital Infection management server 1, generate questionnaire
Investigation, the questionnaire survey function of being provided by wechat enterprise number server 8 are sent to the smart mobile phone 9 of doctor, and doctor has filled in
Hospital Infection management server 1 is sent back after finishing, institute feels staff and analyzes doctor's reported data, questionnaire survey data,
Reform advice is formed, nosocomial infection related detecting method and policy are readjusted.
All parts in a kind of general structure schematic diagram of Hospital Infection managing device as shown in Figure 1 combine figure
The flow chart of nosocomial infection report method shown in 3 is described as follows：
Step B1, setting infection category set is { C in Hospital Infection management server 11,C2...Cj...CJ,
Wherein CjFor j-th of infection classification, 1≤j≤J, J are infection classification sum, Cj={ D1,D2...Dk...DK, wherein DkFor jth
K-th of case of a infection classification, 1≤k≤K, K are the total cases of j-th of infection classification；
Step B2, doctor voluntarily checks in institute's patient cases' information, or checks that Hospital Infection management server 1 pushes away
The doubtful nosocomial infection case information that the nosocomial infection detection method sent detects；
Step B3, doctor judge whether the case is nosocomial infection case, if it is B4 is transferred to, are otherwise transferred to B8；
Step B4 generates infection case Dfind；
Step B5, the information push function provided by wechat enterprise number server 8 push DfindFeel work people to institute
Member；
Step B6, institute sense staff analyze cases of infection Dfind, if it is confirmed that for infection classification CjB7 is gone to, otherwise
Go to B8；
Step B7, by cases of infection DfindStore corresponding infection classification CjIn；
Step B8 reports end.
All parts in a kind of general structure schematic diagram of Hospital Infection managing device as shown in Figure 1 combine figure
The flow chart of nosocomial infection method for establishing model shown in 4 is described as follows：
Step C1, Hospital Infection management server 1 are loaded into all training set of the infection classification as principal component analysis,
Initialize j=0；
Step C2, j=j+1；
Step C3, Hospital Infection management server 1 apply extracting C to information for hospital integrated platform 2j={ D1,
D2...Dk...DKIn all cases medical index information；
Step C4, information for hospital integrated platform 2 extract antibiotic medicine information { drug from hospital information system 3K, 1,
drugK, 2... drugK, a,...drugK, A, wherein drugk,aFor a-th of antibiotic usage dosage of kth part case, 1≤a≤
A, A are the Antibiotics number of kth part case；
Step C5, information for hospital integrated platform 2 extract blood test information { blood from laboratory information system 4K, 1,
bloodK, 2... bloodK, b,...bloodK, B, wherein bloodk,bFor b-th of blood test numerical value of kth part case, 1≤b
≤ B, B are the blood test species number of kth part case, and information for hospital integrated platform 2 extracts drug-fast bacteria from laboratory information system 4
Detection information { cellK, 1, cellK, 2... cellK, c,...cellK, C, wherein cellk,cFor c-th of drug resistance of kth part case
Bacterium detects numerical value, and 1≤c≤C, C are that the drug-fast bacteria of kth part case detects species number；
Step C6, information for hospital integrated platform 2 extract chest X-ray report from Picture Archiving and Communication System 5
Result information xrayk, CT examination report result information CTk；
Step C7, information for hospital integrated platform 2 extract recent body temperature information { tem from electronic medical record system 6K, 1,
temK, 2... temK, d,...temK, D, wherein temk,dFor the d times measurement of bldy temperature numerical value of kth part case, 1≤d≤D, D are
The measurement of bldy temperature number of kth part case；
Step C8, by row arrangement, forms all indexs of all cases after all medical index information standardizations
Matrix
Wherein { xK, 1, xK, 2... xK, p,...xK, PBy { drugK, 1, drugK, 2... drugK, a,...drugK, A,
{bloodK, 1, bloodK, 2... bloodK, b,...bloodK, B, { cellK, 1, cellK, 2... cellK, c,...cellK, C,
xrayk, CTk, { temK, 1, temK, 2... temK, d,...temK, DBe integrated into from left to right in the same set, P=A+B+C+1
+1+D；
Step C9, nosocomial infection detection service device calculate the correlation matrix of X
Wherein
Wherein
Step C10, nosocomial infection detection service device seek the characteristic root { λ of matrix R1,λ2…λp…λP, and make it by size
It is ranked sequentially, λ1≥λ2≥…λp…≥λP≥0；
Step C11, nosocomial infection detection service device generate { λ1,λ2…λp…λPCorresponding principal component
Step C12, it is accumulated variables to set accumulative proportion threshold value STEP, i=0, i；
Step C13, i=i+1；
Step C14, nosocomial infection detection service device calculate principal component contribution rate of accumulative total
Step C15, if setp<STEP is transferred to C13, is otherwise transferred to C16；
Step C16, nosocomial infection detection service device determine that the corresponding feature vector of principal component isInfection
Classification CjDetection threshold value Testj=setp；
Step C17, nosocomial infection detection service device generate infection classification CjDetection model
Step C18, if j<J is transferred to C2, is otherwise transferred to C19；
Step C19, nosocomial infection model foundation finish.
All parts in a kind of general structure schematic diagram of Hospital Infection managing device as shown in Figure 1 combine figure
The flow chart of nosocomial infection detection method shown in 5 is described as follows：
Step D1 selects the detection collection as nosocomial infection model in institute patient cases, in the case collection of institute's all patients
For { D1,D2...Df...DF, DfFor f-th of inpatient case, 1≤f≤F, F are currently to initialize f=in institute patient populations
0；
Step D2, f=f+1；
Whether step D3 judges the patient cases it is determined that for the susceptible example of institute；If it is D12 is transferred to, it is otherwise transferred to D4；
Step D4 initializes j=0；
Step D5, j=j+1；
Step D6, Hospital Infection management server 1 apply extracting D to information for hospital integrated platform 2fPhase in case
Information is closed, information for hospital integrated platform 2 extracts antibiotic medicine information { drug from hospital information system 3F, 1, drugF, 2,
...drugF, a,...drugF, A, information for hospital integrated platform 2 extracts blood test information from laboratory information system 4
{bloodF, 1, bloodF, 2... bloodF, b,...bloodF, B, drug-fast bacteria detection information { cellF, 1, cellF, 2,
...cellF, c,...cellF, C, information for hospital integrated platform 2 extracts chest x-ray inspection from Picture Archiving and Communication System 5
Look into report result information xrayf, CT examination report result information CTf, information for hospital integrated platform 2 from electronic medical record system 6 extract
Recent body temperature information { temF, 1, temF, 2... temF, d,...temF, D}；
Step D7 is arranged in order after all medical index information standardizations as { xF, 1, xF, 2... xF, p,
...xF, P}；
Step D8, by medical index information input infection classification CjDetection in corresponding nosocomial infection detection service device 7
Model is calculated, current=e1,1×xf,1+...ep,1×xf,p...+eP,1×xf,P；
Step D9, judges whether current is more than Testj, it is to be transferred to D10, is otherwise transferred to D11；
Step D10, Hospital Infection management server 1 push work(by the information that wechat enterprise number server 8 provides
Can, the doubtful nosocomial infection case detected is pushed to related doctor, j=J；
Step D11, if j<J is transferred to D5, is otherwise transferred to D12；
Step D12, if f<F is transferred to D2, is otherwise transferred to D13；
Step D13, nosocomial infection detection finish.
It is the embodiment that inventor provides below
Embodiment 1
As shown in fig. 6, illustrating using lower respiratory tract infection category management process, plan (Plan) is embodied, is executed (Do),
It checks (Check), adjust the overall flow of (Action), detailed process is as follows：
Step A1, institute feel staff and arrange lower respiratory tract infection related detecting method and policy, pass through wechat enterprise number
The picture and text propaganda and education function as shown in Fig. 6 plans (Plan) that server 8 provides is sent to the smart mobile phone 9 of division of respiratory disease doctor；
Step A2, if Fig. 6 is executed shown in (Do), Hospital Infection management server 1 uses nosocomial infection model foundation
Method establishes nosocomial infection model in nosocomial infection detection service device 7, and Hospital Infection management server 1 uses nosocomial infection
Detection method detects doubtful lower respiratory tract infection event, and is pushed to division of respiratory disease doctor, and division of respiratory disease doctor uses in nosocomial infection
Reporting method reports lower respiratory tract infection event；
Step A3, as shown in Fig. 6 inspections (Check), institute sense staff receives and processes lower respiratory tract infection event；
Step A4, as shown in Fig. 6 adjustment (Action), institute feels staff and arranges Hospital Infection management server 1
Middle associated lower respiratory tract infection case generates questionnaire survey, is sent out by the questionnaire survey function that wechat enterprise number server 8 provides
The smart mobile phone 1 of division of respiratory disease doctor is given, division of respiratory disease doctor sends back Hospital Infection management server 1 after filling in,
Institute feels staff and analyzes division of respiratory disease doctor's reported data, and questionnaire survey data form reform advice, readjust lower respiratory tract
Infect related detecting method and policy.
Embodiment 2
Division of respiratory disease doctor receives certain doubtful lower respiratory tract infection case push, and the process for confirming and reporting is illustrated such as
Under：
Step B1, setting infection category set is { C in Hospital Infection management server 11,C2...Cj...CJ,
Wherein CjFor lower respiratory tract infection classification, 1≤j≤J, J are infection classification sum, Cj={ D1,D2...Dk...DK, wherein DkFor
K-th of case of lower respiratory tract infection classification, 1≤k≤K, K are the total cases of lower respiratory tract infection classification；
Step B2, division of respiratory disease doctor check the nosocomial infection detection method inspection that Hospital Infection management server 1 pushes
The doubtful lower respiratory tract infection case information measured；
Step B3, division of respiratory disease doctor judge that the case for nosocomial infection case, is transferred to B4；
Step B4 generates infection case Dfind；
Step B5, the information push function provided by wechat enterprise number server 8 push DfindFeel work people to institute
Member；
Step B6, institute sense staff analyze cases of infection Dfind, it is confirmed as lower respiratory tract infection classification, goes to B7；
Step B7, by cases of infection DfindStore lower respiratory tract infection classification CjIn；
Step B8 reports end.
Embodiment 3
The infection of the upper respiratory tract, lower respiratory tract infection class models generating process, and the detection process using infection model
Citing, detection model generating process are as follows：
Step C1, Hospital Infection management server 1 are loaded into the infection of the upper respiratory tract, and lower respiratory tract infection classification is as master
The training set of constituent analysis initializes j=0；
Step C2, j=j+1；
Step C3, Hospital Infection management server 1 apply extracting the infection of the upper respiratory tract to information for hospital integrated platform 2
In all cases medical index information；
Step C4, information for hospital integrated platform 2 extracted from hospital information system 3 antibiotic medicine information 100,
200 ... 200 ... 300 }；
Step C5, information for hospital integrated platform 2 from laboratory information system 4 extract blood test information 1,0,
... 1 ... 1, information for hospital integrated platform 2 from laboratory information system 4 extract drug-fast bacteria detection information 0,0 ... 0,
...0}；
Step C6, information for hospital integrated platform 2 extract chest X-ray report from Picture Archiving and Communication System 5
Result information xrayk=0, CT examination report result information CTk=0；
Step C7, information for hospital integrated platform 2 from electronic medical record system 6 extract recent body temperature information 37.2,36.5,
... 36.5 ... 38.2 }, wherein temk,dFor the d times measurement of bldy temperature numerical value of kth part case, 1≤d≤D, D are kth part case
Measurement of bldy temperature number；
Step C8, by row arrangement, forms all indexs of all cases after all medical index information standardizations
MatrixFor
Step C9, nosocomial infection detection service device 7 calculate the correlation matrix of X
Wherein
Wherein
Step C10, nosocomial infection detection service device 7 seek the characteristic root { 3.56,2.32 ... 1.22 ... 0.23 } of matrix R, and
It is set to be ranked sequentially by size, λ1≥λ2≥…λp…≥λP≥0；
Step C11, nosocomial infection detection service device 7 generate { λ1,λ2…λp…λPCorresponding principal component
Step C12, it is accumulated variables to set accumulative proportion threshold value STEP=0.85, i=0, i；
Step C13, i=i+1；
Step C14, nosocomial infection detection service device 7 calculate principal component contribution rate of accumulative total
Step C15, setp>STEP is transferred to C16；
Step C16, nosocomial infection detection service device 7 determine that the corresponding feature vector of principal component isUpper respiratory tract sense
The detection threshold value Test of dyej=0.87；
Step C17, nosocomial infection detection service device 7 generate infection classification CjDetection model
Step C18, j<2, it is transferred to C2；
Step C2, j=j+1；
Step C3, Hospital Infection management server 1 apply extracting lower respiratory tract infection to information for hospital integrated platform 2
In all cases medical index information；
Step C4, information for hospital integrated platform 2 extracted from hospital information system 3 antibiotic medicine information 300,
400 ... 500 ... 800 }；
Step C5, information for hospital integrated platform 2 from laboratory information system 4 extract blood test information 1,1,
... 1 ... 1, information for hospital integrated platform 2 from laboratory information system 4 extract drug-fast bacteria detection information 0,1 ... 1,
...0}；
Step C6, information for hospital integrated platform 2 extract chest X-ray report from Picture Archiving and Communication System 5
Result information xrayk=1, CT examination report result information CTk=1；
Step C7, information for hospital integrated platform 2 from electronic medical record system 6 extract recent body temperature information 38.2,38.5,
... 38.5 ... 38.2 }, wherein temk,dFor the d times measurement of bldy temperature numerical value of kth part case, 1≤d≤D, D are kth part case
Measurement of bldy temperature number；
Step C8, by row arrangement, forms all indexs of all cases after all medical index information standardizations
MatrixFor
Step C9, nosocomial infection detection service device 7 calculate the correlation matrix of X
Wherein
Wherein
Step C10, nosocomial infection detection service device 7 seek the characteristic root { 3.96,3.12 ... 2.22 ... 0.63 } of matrix R, and
It is set to be ranked sequentially by size, λ1≥λ2≥…λp…≥λP≥0；
Step C11, nosocomial infection detection service device 7 generate { λ1,λ2…λp…λPCorresponding principal component
Step C12, it is accumulated variables to set accumulative proportion threshold value STEP=0.85, i=0, i；
Step C13, i=i+1；
Step C14, nosocomial infection detection service device 7 calculate principal component contribution rate of accumulative total
Step C15, setp>STEP is transferred to C16；
Step C16, nosocomial infection detection service device 7 determine that the corresponding feature vector of principal component isLower respiratory tract
The detection threshold value Test of infectionj=0.87；
Step C17, nosocomial infection detection service device 7 generate infection classification CjDetection model
Step C18, j==J, are transferred to C19；
Step C19, the infection of the upper respiratory tract, the foundation of lower respiratory tract infection class models finish.
Lower respiratory tract infection detection process is as follows：
Step D1 selects the detection collection as nosocomial infection model in institute patient cases, in the case collection of institute's all patients
For { D1,D2...Df...DF, DfFor f-th of inpatient case, 1≤f≤F, F are currently to initialize f=in institute patient populations
0；
Step D2, f=f+1；
Step D3 judges that the patient cases are not judged as the susceptible example of institute, is transferred to D4；
Step D4 initializes j=0；
Step D5, j=j+1；
Step D6, Hospital Infection management server 1 apply extracting D to information for hospital integrated platform 2fPhase in case
Close information, information for hospital integrated platform 2 extracted from hospital information system 3 antibiotic medicine information 300,300,
... 400 ... 600, information for hospital integrated platform 2 from laboratory information system 4 extract blood test information 1,1,
... 1 ... 1 }, drug-fast bacteria detection information 0,0 ... 1 ... 0 }, information for hospital integrated platform 2 is from Picture Archive and leads to
News system 5 extracts chest X-ray report result information xrayf=1, CT examination report result information CTf=0, information for hospital collection
At platform 2 from electronic medical record system 6 extract recent body temperature information 37.5,38.2 ... 38.5 ... 38.6 }；
Step D7, after all medical index information standardizations, be arranged in order for 1,0.6 ... 0.5 ... 1 }；
Step D8, by the lower respiratory tract infection detection model in medical index information input nosocomial infection detection service device 7
It is calculated, current=0.67 × 1+...0.22 × 0.5...+0.02 × 1=0.91；
Step D9 judges that 0.91 is more than 0.87, is transferred to D10；
Step D10, Hospital Infection management server 1 push work(by the information that wechat enterprise number server 8 provides
Can, it pushes the doubtful lower respiratory tract infection case detected and gives division of respiratory disease doctor, j=J；
Step D11, j==J, are transferred to D12；
Step D12, f==F, are transferred to D13；
Step D13, nosocomial infection detection finish.
Claims (6)
1. a kind of Hospital Infection managing device, it is characterised in that including：Hospital Infection management server, information for hospital
Integrated platform, hospital information system, laboratory information system, Picture Archiving and Communication System, electronic medical record system, hospital
Infect detection service device, wechat enterprise number server, smart mobile phone；
The Hospital Infection management server is connect with the information for hospital integrated platform by hospital LAN；
The information for hospital integrated platform is connect with the hospital information system by hospital LAN；
The information for hospital integrated platform is connect with the laboratory information system by hospital LAN；
The information for hospital integrated platform is connect with the Picture Archiving and Communication System by hospital LAN；
The information for hospital integrated platform is connect with the electronic medical record system by hospital LAN；
The Hospital Infection management server is connect with the nosocomial infection detection service device by hospital LAN；
The Hospital Infection management server is connect with the wechat enterprise number server by hospital LAN；
The wechat enterprise number server passes through hospital's wireless network connection with the smart mobile phone；
The hospital information system is used to acquire the name of patient, and admission number etc. in hospital cure by essential information and antibiotic drug
Advise equal medical informations.
2. a kind of Hospital Infection managing device according to claim 1, it is characterised in that：
The laboratory information system is for acquiring the information such as blood samples of patients inspection and drug-fast bacteria detection；
The Picture Archiving and Communication System is for acquiring the inspection of patient chest x-ray, CT examination report result information；
The electronic medical record system is for acquiring patient temperature status information；
The information for hospital integrated platform is deposited for managing connection hospital information system, laboratory information system, medical image
Shelves and communication system, electronic medical record system；
The nosocomial infection detection service device is used for the Basic Medical Therapeutic Data of analyzing processing patient, and detects doubtful hospital
The patient of infection；
The wechat enterprise number server is for providing information push, picture and text propaganda and education, the various aspects interaction function such as questionnaire survey；
The smart mobile phone is used to receiving and showing all kinds of information on services that wechat enterprise number server provides, and sends correlation
Feedback information gives wechat enterprise number server；
The Hospital Infection management server is for managing connection information for hospital integrated platform, nosocomial infection detection service
Device, wechat enterprise number server, manages the overall flow of nosocomial infection.
3. a kind of method for managing and monitoring of Hospital Infection managing device according to claim 1, it is characterised in that packet
Include following steps：
Step A1, institute feel staff and arrange nosocomial infection related detecting method and policy, carried by wechat enterprise number server
The picture and text propaganda and education function of confession is sent to the smart mobile phone of doctor；
Step A2, Hospital Infection management server is using nosocomial infection method for establishing model in nosocomial infection detection service device
Nosocomial infection model is established, Hospital Infection management server detects doubtful nosocomial infection thing using nosocomial infection detection method
Part, and it is pushed to doctor, doctor reports nosocomial infection event using nosocomial infection report method；
Step A3, institute sense staff receive and process nosocomial infection event；
Step A4, institute feel staff and arrange infections relating case in Hospital Infection management server, generate questionnaire survey,
The questionnaire survey function of being provided by wechat enterprise number server is sent to the smart mobile phone of doctor, and doctor sends after filling in
Hospital Infection management server is returned, institute feels staff and analyzes doctor's reported data, and questionnaire survey data form rectification meaning
See, readjusts nosocomial infection related detecting method and policy.
4. a kind of Hospital Infection management method according to claim 3, it is characterised in that in the nosocomial infection
Reporting method specifically includes following steps：
Step B1, setting infection category set is { C in Hospital Infection management server1,C2...Cj...CJ, wherein Cj
For j-th of infection classification, 1≤j≤J, J are infection classification sum, Cj={ D1,D2...Dk...DK, wherein DkIt is infected for j-th
K-th of case of classification, 1≤k≤K, K are the total cases of j-th of infection classification；
Step B2, doctor voluntarily check in institute's patient cases' information, or check the push of Hospital Infection management server
The doubtful nosocomial infection case information that nosocomial infection detection method detects；
Step B3, doctor judge whether the case is nosocomial infection case, if it is B4 is transferred to, are otherwise transferred to B8；
Step B4 generates infection case Dfind；
Step B5, the information push function provided by wechat enterprise number server push DfindFeel staff to institute；
Step B6, institute sense staff analyze cases of infection Dfind, if it is confirmed that for infection classification CjB7 is gone to, is otherwise gone to
B8；
Step B7, by cases of infection DfindStore corresponding infection classification CjIn；
Step B8 reports end.
5. a kind of Hospital Infection management method according to claim 3, it is characterised in that the nosocomial infection mould
Type method for building up is as follows：
Step C1, Hospital Infection management server are loaded into all training set of the infection classification as principal component analysis, initially
Change j=0；
Step C2, j=j+1；
Step C3, Hospital Infection management server extract C to information for hospital integrated platform applicationj={ D1,
D2...Dk...DKIn all cases medical index information；
Step C4, information for hospital integrated platform extract antibiotic medicine information { drug from hospital information systemK, 1,
drugK, 2... drugK, a,...drugK, A, wherein drugk,aFor a-th of antibiotic usage dosage of kth part case, 1≤a≤
A, A are the Antibiotics number of kth part case；
Step C5, information for hospital integrated platform extract blood test information { blood from laboratory information systemK, 1,
bloodK, 2... bloodK, b,...bloodK, B, wherein bloodk,bFor b-th of blood test numerical value of kth part case, 1≤b
≤ B, B are the blood test species number of kth part case, and information for hospital integrated platform extracts drug-fast bacteria inspection from laboratory information system
Measurement information { cellK, 1, cellK, 2... cellK, c,...cellK, C, wherein cellk,cFor c-th of drug-fast bacteria of kth part case
Numerical value is detected, 1≤c≤C, C are that the drug-fast bacteria of kth part case detects species number；
Step C6, information for hospital integrated platform extract chest X-ray report result letter from Picture Archiving and Communication System
Cease xrayk, CT examination report result information CTk；
Step C7, information for hospital integrated platform extract recent body temperature information { tem from electronic medical record systemK, 1, temK, 2,
...temK, d,...temK, D, wherein temk,dFor the d times measurement of bldy temperature numerical value of kth part case, 1≤d≤D, D are kth part disease
The measurement of bldy temperature number of example；
Step C8, by row arrangement, forms the matrix of all indexs of all cases after all medical index information standardizations
Wherein { xK, 1, xK, 2... xK, p,...xK, PBy { drugK, 1, drugK, 2... drugK, a,...drugK, A,
{bloodK, 1, bloodK, 2... bloodK, b,...bloodK, B, { cellK, 1, cellK, 2... cellK, c,...cellK, C,
xrayk, CTk, { temK, 1, temK, 2... temK, d,...temK, DBe integrated into from left to right in the same set, P=A+B+C+1
+1+D；
Step C9, nosocomial infection detection service device calculate the correlation matrix of X
WhereinWherein
Step C10, nosocomial infection detection service device seek the characteristic root { λ of matrix R1,λ2…λp…λP, and make its sequence row by size
Row, λ1≥λ2≥…λp…≥λP≥0；
Step C11, nosocomial infection detection service device generate { λ1,λ2…λp…λPCorresponding principal component
Step C12, it is accumulated variables to set accumulative proportion threshold value STEP, i=0, i；
Step C13, i=i+1；
Step C14, nosocomial infection detection service device calculate principal component contribution rate of accumulative total
Step C15, if setp<STEP is transferred to C13, is otherwise transferred to C16；
Step C16, nosocomial infection detection service device determine that the corresponding feature vector of principal component isInfect classification
CjDetection threshold value Testj=setp；
Step C17, nosocomial infection detection service device generate infection classification CjDetection model
Step C18, if j<J is transferred to C2, is otherwise transferred to C19；
Step C19, nosocomial infection model foundation finish.
6. a kind of Hospital Infection management method according to claim 3, it is characterised in that the nosocomial infection inspection
Survey method is as follows：
Step D1 selects the detection collection as nosocomial infection model in institute patient cases, is { D in the case collection of institute's all patients1,
D2...Df...DF, DfFor f-th of inpatient case, 1≤f≤F, F are currently to initialize f=0 in institute patient populations；
Step D2, f=f+1；
Whether step D3 judges the patient cases it is determined that for the susceptible example of institute；If it is D12 is transferred to, it is otherwise transferred to D4；
Step D4 initializes j=0；
Step D5, j=j+1；
Step D6, Hospital Infection management server extract D to information for hospital integrated platform applicationfRelevant information in case,
Information for hospital integrated platform extracts antibiotic medicine information { drug from hospital information systemF, 1, drugF, 2,
...drugF, a,...drugF, A, information for hospital integrated platform extracts blood test information from laboratory information system
{bloodF, 1, bloodF, 2... bloodF, b,...bloodF, B, drug-fast bacteria detection information { cellF, 1, cellF, 2,
...cellF, c,...cellF, C, information for hospital integrated platform extracts chest X-ray from Picture Archiving and Communication System
Report result information xrayf, CT examination report result information CTf, information for hospital integrated platform extracts recent from electronic medical record system
Body temperature information { temF, 1, temF, 2... temF, d,...temF, D}；
Step D7 is arranged in order after all medical index information standardizations as { xF, 1, xF, 2... xF, p,...xF, P}；
Step D8, by medical index information input infection classification CjDetection model in corresponding nosocomial infection detection service device into
Row calculates, current=e1,1×xf,1+...ep,1×xf,p...+eP,1×xf,P；
Step D9, judges whether current is more than Testj, it is to be transferred to D10, is otherwise transferred to D11；
Step D10, the information push function that Hospital Infection management server is provided by wechat enterprise number server, push
The doubtful nosocomial infection case detected is to related doctor, j=J；
Step D11, if j<J is transferred to D5, is otherwise transferred to D12；
Step D12, if f<F is transferred to D2, is otherwise transferred to D13；
Step D13, nosocomial infection detection finish.
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