CN107799162A - A kind of hospital emergency department patient Electronic Registration statistical system - Google Patents
A kind of hospital emergency department patient Electronic Registration statistical system Download PDFInfo
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Abstract
The invention belongs to technical field of medical equipment, discloses a kind of hospital emergency department patient Electronic Registration statistical system, including：Registration module, medical card establish module, and electronic entry system, nurse's enquiry module, the nurse that sees and treat patients, doctor choose module, skin test test prompting module, hospital center's monitoring module etc.；Hospital center's monitoring module, choose module with the nurse that sees and treat patients, doctor and be connected, for the relevant information that patient goes to a doctor to be monitored and managed.The present invention instead of the manual various information materials of emergency department；Accomplish the precision of information, it is ensured that the accuracy of data, and the data needed in tertiary hospitals, evaluation clause Green channel management are covered, it is easy to statistical analysis, improves operating efficiency.
Description
Technical field
The invention belongs to technical field of medical equipment, more particularly to a kind of hospital emergency department patient Electronic Registration department of statistic
System.
Background technology
Medical technology, refer to that medical institutions and its medical worker for the purpose of diagnosing and treat disease, make to disease and sentenced
It is disconnected and eliminate a disease, alleviate the state of an illness, palliate the agonizing sufferings, improving function, extending life, help patient get well and taken examines
Disconnected, remedy measures.Medical technology is divided into three classes：First kind medical technology refers to that security, validity are definite, and medical institutions pass through
Routine Management can ensure that its security, the technology of validity in clinical practice.Second class medical technology refer to security, effectively
Property it is definite, be related to that certain ethics problem or risk are higher, administrative department of public health should be controlled by the medical technology of management.The
Three class medical technology refer to have one of following state, it is necessary to which administrative department of public health is subject to the medical technology of strict control management：
(1) it is related to great ethics problem；(2) excessive risk；(3) security, validity are still needed the clinical test through specification
Research further checking；(4) scarce resource is needed to use；(5) other need o to want the medical skill of special management as defined in the Ministry of Public Health
Art.
Emergency Medicine (room) or Emergency Medicine center are that critically ill patient is most concentrated, disease is most in hospital, is rescued and is managed
The most heavy section office of reason task, it is the only way which must be passed that all emergency cases are hospitalized for treatment.General hospital's emergency treatment be provided with full section, it is inside and outside,
The training clinic such as woman, youngster, face, heating, diarrhoea.Therefore, the work of emergency department can be described as the epitome of hospital's overall work, directly
It is horizontal to connect the emergency medical for reflecting hospital, nursing quality and peopleware.
In summary, the problem of prior art is present be：Existing hospital emergency department disease registration statistical system is not bound with
Big data, carry out automating typing patient related information；Most of is the various information materials of emergency department craft typing patient；Doctor
It is very troublesome when life is browsed；And the information integrity of hand-kept is poor, it is impossible to provides accurate data for the treatment in later stage；Can not
The data needed for Hospital Accreditation provide foundation；
Many patient's state of an illness are critical, and it is all that family members go to registration office to fill in patient information to register, and by registration office, staff brushes
Card typing patient information, medical card automatically extract information on card in nurse station electronic registration system by swiping the card, and then nurse is again
Further supplement the information such as typing patient's condition-inference vital sign whereabouts.Data Enter holonomic system can programming count patient stop
Stay the emergency treatment time, six serious disease quantity and stop the emergency treatment time, see and treat patients person-time, be in hospital person-time, emergency operation person-time, bring into outside institute
Pressure sore person-time, all kinds of traumatic patient people are inferior, there is these data, are easy to analyze patient flow, and analysis judges emergency treatment
Whether green road is unimpeded etc., so that sustained improvement works；However, the effect that above-mentioned phenomenon is implemented in the prior art is poor.
The content of the invention
The problem of existing for prior art, the invention provides a kind of hospital emergency department patient Electronic Registration department of statistic
System.
The present invention is achieved in that a kind of hospital emergency department patient Electronic Registration statistical system, including：
Registration module, installed in registration office, for filling in patient name, age, address, sex, the correlation of contact method
Information；
Medical card establishes module, installed in nurse station, is connected with registration module, and the patient for being filled in registration module is closed
Information establishes medical card；
Electronic entry system, establish module with medical card and be connected, information during patient registration for extracting medical card, and show
Show enrollment time, consultation time；
Nurse's enquiry module, it is connected with electronic entry system, for the traumatic patient typing diagnostic message to collection, life
Sign information, whereabouts information are supplemented；
See and treat patients nurse, doctor chooses module, people is connected with nurse's enquiry module, for choosing patient's traumatogenic reason, causing a disease
Reason simultaneously provides therapeutic scheme；It is additionally operable to choose and brings Patients with Pressure Ulcers relevant information outside institute into；
Skin test tests prompting module, chooses module with the nurse that sees and treat patients, doctor and is connected, for recording test results by 20 minutes
Time, and be automatically reminded to when being reached to the test results time；The based reminding method of the skin test test prompting module includes：
Skin test analysis object and the integrated information appraisement system of safe test results time are established, appraisement system is by n
The system that m index of object is formed is analyzed, so as to obtain initial information Evaluations matrix：
Wherein, i=1,2 ..., n；J=1,2 ..., m；
To each index normalized in A'：
Normalized index：
Wherein, i=1,2 ..., n；J=1,2 ..., m；
- matrix A ' in jth row minimum value；
- matrix A ' in jth row maximum；
aijCorrespond to the element of the i-th row j row in-normative information matrix, normative information matrix A is represented by：
Wherein, i=1,2 ..., n；J=1,2 ..., m；
Then, according to normative information matrix, the proportion of the desired value of jth item index under i-th of analysis object is determined：
Wherein, i=1,2 ..., n；J=1,2 ..., m；
Finally, the entropy of i-th of analysis object is calculated by entropy assessment
Wherein, Ti- it is defined as the comentropy of i-th of analysis object；
pijThe proportion of jth item index under-i-th analysis object；
I=1,2 ..., n；J=1,2 ..., m；
Similarly, safe sub-information entropy can be tried to achieve, i.e.,：
Wherein Si- it is defined as the safe sub-information entropy of i-th of analysis object；
qijThe proportion of jth item index under-i-th analysis object；
mijThe proportion of jth item index under-i-th analysis object；
I=1,2 ..., n；J=1,2 ..., m；
Information entropy is normalized, normalizes formula：
According to comentropy and the relation of risk factor, determine to be divided into the negative and positive differentiation standard in the stipulated time that reaches：
0.6≤Hc＜ 0.8, safe test results are negative；
0.4≤Hc＜ 0.6, safe test results are positive；
Data Enter holonomic system, it is connected with electronic entry system, stops the emergency treatment time for programming count patient, six is big
Disease quantity and stop the emergency treatment time, see and treat patients person-time, be in hospital person-time, emergency operation person-time brings pressure sore person-time outside institute into, it is all kinds of outside
Sick and wounded people person-time；Patient flow is analyzed；Analysis judges whether emergency treatment green road is unimpeded；
Green channel detection module, it is connected with Data Enter holonomic system, it is whether unimpeded for obtaining green channel；
Hospital center's monitoring module, choose module with the nurse that sees and treat patients, doctor and be connected, for the relevant information gone to a doctor to patient
It is monitored and manages.
Further, nurse's enquiry module by built-in information acquisition module to traumatic patient typing diagnostic message, life
Sign information, whereabouts information are acquired；The information collecting method of described information acquisition module includes：
Echo signal x (t) is acquired within the independent sampling period with awareness apparatus, and with A/D modes to signal
Carry out digital quantization；Then, dimensionality reduction is carried out to the signal x (i) after quantization；Finally, the signal after dimensionality reduction is reconstructed；Wherein
T is sampling instant, and i is the signal sequence after quantifying.
Further, dimensionality reduction is carried out to the signal after quantization, specifically the signal after quantization filtered by finite impulse response (FIR)
The difference equation of ripple deviceI=1 ..., M, wherein h (0) ..., h (L-1) are filter coefficient, design
Compressed sensing signal acquisition framework based on filtering, constructs following Teoplitz calculation matrix：
Then observeI=1 ..., M, wherein b1,…,bLRegard filter coefficient as；Submatrix ΦFT
Singular value be gram matrix G (ΦF, T) and=Φ 'FTΦFTThe arithmetic root of characteristic value, checking G (Φ F, T) all eigenvalue λs
i∈(1-δK,1+δK), i=1 ..., T, then ΦFMeet RIP, and original signal is reconstructed by solving following optimization problem：
Original signal, that is, BP algorithm are reconstructed by linear programming method；
For actual compression signal, such as the collection of voice or picture signal, then Φ is changedFFor following form：
If signal conversion basic matrix Ψ on have it is openness, by solving following optimization problem, Accurate Reconstruction
Go out original signal：
Wherein Φ is uncorrelated to Ψ, and Ξ is referred to as CS matrixes.
Further, the data managing method of hospital center's monitoring module includes：
Receive and safeguard more new command；
Patient status's information is obtained according to the maintenance more new command and needs to safeguard the dimension table of the dimension table of renewal
Information；
The dimension table configuration information pre-set according to the dimension table acquisition of information；Wherein, the dimension table matches somebody with somebody confidence
In breath synchronous purpose database is needed with the source database for needing to safeguard where the dimension table of renewal, the dimension table
And dimension table operating right information；
According to patient status's information and the dimension table operating right information, judge that patient status's information is
It is no to meet the dimension table operating right information；
If patient status's information meets the dimension table operating right information, to the dimension for needing to safeguard renewal
Table is updated operation；
The dimension table being updated after operating is synchronized to the purpose database of hospital center's monitoring module.
Further, the dimension table operating right information includes：Patient status's mark with dimension table operating right；
It is described to judge whether patient status's information meets the dimension table operating right information, including：
Judge patient status's information whether in patient status's mark with dimension table operating right；
The maintenance more new command is increase content instruction, changes content instruction or delete content instruction；
Before operation is updated to the dimension table for needing maintenance to update, including：
According to the maintenance more new command, it is determined that needing to safeguard the field of renewal, and get the needs and safeguard renewal
Field field identification；
The field configuration information pre-set is got according to the field identification and the dimension table configuration information；Its
In, the field configuration information includes field contents ordering rule, field ordering information, the field restrictive condition of the field.
Further, it is described to the dimension for needing to safeguard renewal if the maintenance more new command is increase content instruction
Table is updated operation, including：
Obtain batch data content corresponding to the increase content instruction；
According to the batch data content, increase field contents in one or more of dimension table field；
According to the field contents ordering rule, the field contents are ranked up；
According to the field ordering information, each field in dimension table is ranked up；
It is described that the dimension table for needing to safeguard renewal is carried out more if the maintenance more new command is change content instruction
New operation, including：
Obtain batch data content corresponding to the change content instruction；
According to the batch data content, field contents are changed in one or more of dimension table field；
If the maintenance more new command is deletes content instruction, described that the dimension table for needing to safeguard renewal is carried out more
New operation, including：
Field contents are deleted in one or more of dimension table field；
Also include：
Judge whether each field after the increase field contents, change field contents or deletion field contents meets
The field restrictive condition；
If there is field to be unsatisfactory for the field restrictive condition, prompt message is generated；The prompt message is used to prompt to be discontented with
The Field Count of the foot field restrictive condition, and prompt to be unsatisfactory for the field relevant information of the field restrictive condition；The word
Section relevant information includes the field identification or field name of the field.
Advantages of the present invention and good effect are：
The present invention instead of the manual various information materials of emergency department；The precision of information is accomplished, it is ensured that data
Accuracy, and the data needed in tertiary hospitals, evaluation clause Green channel management are covered, it is easy to statistical analysis, improves
Operating efficiency.
The image-recognizing method of registration module of the present invention, the accuracy than the manual typing information of prior art improve a lot
Times, and can be networked with the network of relation of other storage patients, greatly improve the accuracy rate for the treatment of；The skin test of the present invention carries
Wake up method, establish the different danger classes of test results respectively, can automated prompting patient skin test situation, correctly to control
Treat and guarantee is provided, avoid the generation of doctors and patients' accident；The data managing method of hospital center's monitoring module of the present invention, can be to disease
The information that people goes to a doctor carries out effectively managing and providing guidance, it is ensured that the legitimate rights and interests of patient.Nurse's enquiry module of the present invention
Collecting method accuracy rate improve many times than the manually recorded of prior art.
The present invention realizes to be swiped the card typing patient information by registration office staff, and medical card is in Electronic Registration system of nurse station
System automatically extracts information on card by swiping the card, and then nurse further supplements typing patient's condition-inference vital sign whereabouts etc.
Information.Data Enter holonomic system can programming count patient stop the emergency treatment time, six serious disease quantity and stop the emergency treatment time, connect
Examine person-time, be in hospital person-time, emergency operation person-time, bring pressure sore person-time into outside institute, all kinds of traumatic patient people are inferior, pass through of the invention
These data, are analyzed patient flow, and analysis judges whether emergency treatment green road is unimpeded etc., are the sustained improvement of hospital
Work provides guarantee.
Brief description of the drawings
Fig. 1 is hospital emergency department patient Electronic Registration statistical system schematic diagram provided in an embodiment of the present invention.
In figure：1st, registration module；2nd, medical card establishes module；3rd, electronic entry system；4th, nurse's enquiry module；5th, see and treat patients
Nurse, doctor choose module；6th, skin test test prompting module；7th, hospital center's monitoring module；8th, Data Enter holonomic system；9、
Green channel detection module.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Below in conjunction with the accompanying drawings and specific embodiment is further described to the application principle of the present invention.
As shown in figure 1, hospital emergency department patient Electronic Registration statistical system provided in an embodiment of the present invention, including：
Registration module 1, installed in registration office, for filling in patient name, age, address, sex, the correlation of contact method
Information；
Medical card establishes module 2, installed in nurse station, is connected with registration module, for the patient filled in registration module
Close information and establish medical card；
Electronic entry system 3, establish module with medical card and be connected, information during patient registration for extracting medical card, and
Show enrollment time, consultation time；
Nurse's enquiry module 4, it is connected with electronic entry system, for the traumatic patient typing diagnostic message to collection, life
Life sign information, whereabouts information are supplemented；
See and treat patients nurse, doctor chooses module 5, people is connected with nurse's enquiry module, for choosing patient's traumatogenic reason, causing a disease
Reason simultaneously provides therapeutic scheme；It is additionally operable to choose and brings Patients with Pressure Ulcers relevant information outside institute into；
Skin test tests prompting module 6, chooses module with the nurse that sees and treat patients, doctor and is connected, for recording test results to when putting
Between, and be automatically reminded to when being reached to the test results time；
Data Enter holonomic system 8, it is connected, is stopped the emergency treatment time for programming count patient, six with electronic entry system
Serious disease quantity and stop the emergency treatment time, see and treat patients person-time, be in hospital person-time, emergency operation person-time, bring pressure sore person-time into outside institute, it is all kinds of
Traumatic patient person-time；Patient flow is analyzed；Analysis judges whether emergency treatment green road is unimpeded；
Green channel detection module 9, it is connected with Data Enter holonomic system, it is whether unimpeded for obtaining green channel；
Hospital center's monitoring module 7, choose module with the nurse that sees and treat patients, doctor and be connected, for the correlation letter gone to a doctor to patient
Breath is monitored and managed.
Traumatogenic reason includes：Traffic accident, Falling Injury, machine wound, firecrackers wound, self inflicted injury etc.；
Pathogenesis includes：Brain soldier, in, acute myocardial infarction, acute heart failure, acute respiratory failure, acute injury, acute Cerebral
Wound；
Respective selection, have and bring pressure sore person outside institute into, chosen in this square frame, it is necessary to do the typing test results of skin test
To the time of 20 minutes；To seeing that test results time system can be automatically reminded to；
Can see and treat patients the period of programming count one patient's number traumatic origin, body temperature of system is more than the item extractions such as 38.5 degrees Celsius
And patient information is shown, and combined data.
The based reminding method of the skin test test prompting module includes：
Skin test analysis object and the integrated information appraisement system of safe test results time are established, appraisement system is by n
The system that m index of object is formed is analyzed, so as to obtain initial information Evaluations matrix：
Wherein, i=1,2 ..., n；J=1,2 ..., m；
To each index normalized in A'：
Normalized index：
Wherein, i=1,2 ..., n；J=1,2 ..., m；
- matrix A ' in jth row minimum value；
- matrix A ' in jth row maximum；
aijCorrespond to the element of the i-th row j row in-normative information matrix, normative information matrix A is represented by：
Wherein, i=1,2 ..., n；J=1,2 ..., m；
Then, according to normative information matrix, the proportion of the desired value of jth item index under i-th of analysis object is determined：
Wherein, i=1,2 ..., n；J=1,2 ..., m；
Finally, the entropy of i-th of analysis object is calculated by entropy assessment
Wherein, Ti- it is defined as the comentropy of i-th of analysis object；
pijThe proportion of jth item index under-i-th analysis object；
I=1,2 ..., n；J=1,2 ..., m；
Similarly, safe sub-information entropy can be tried to achieve, i.e.,：
Wherein Si- it is defined as the safe sub-information entropy of i-th of analysis object；
qijThe proportion of jth item index under-i-th analysis object；
mijThe proportion of jth item index under-i-th analysis object；
I=1,2 ..., n；J=1,2 ..., m；
Information entropy is normalized, normalizes formula：
According to comentropy and the relation of risk factor, determine to be divided into the negative and positive differentiation standard in the stipulated time that reaches：
0.6≤Hc＜ 0.8, safe test results are negative；
0.4≤Hc＜ 0.6, safe test results are positive；
Nurse's enquiry module is by built-in information acquisition module to traumatic patient typing diagnostic message, life entity reference
Breath, whereabouts information are acquired；The information collecting method of described information acquisition module includes：
Echo signal x (t) is acquired within the independent sampling period with awareness apparatus, and with A/D modes to signal
Carry out digital quantization；Then, dimensionality reduction is carried out to the signal x (i) after quantization；Finally, the signal after dimensionality reduction is reconstructed；Wherein
T is sampling instant, and i is the signal sequence after quantifying.
Further, dimensionality reduction is carried out to the signal after quantization, specifically the signal after quantization filtered by finite impulse response (FIR)
The difference equation of ripple deviceI=1 ..., M, wherein h (0) ..., h (L-1) are filter coefficient, design
Compressed sensing signal acquisition framework based on filtering, constructs following Teoplitz calculation matrix：
Then observeI=1 ..., M, wherein b1,…,bLRegard filter coefficient as；Submatrix ΦFT
Singular value be gram matrix G (ΦF, T) and=Φ 'FTΦFTThe arithmetic root of characteristic value, checking G (Φ F, T) all eigenvalue λs
i∈(1-δK,1+δK), i=1 ..., T, then ΦFMeet RIP, and original signal is reconstructed by solving following optimization problem：
Original signal, that is, BP algorithm are reconstructed by linear programming method；
For actual compression signal, such as the collection of voice or picture signal, then Φ is changedFFor following form：
If signal conversion basic matrix Ψ on have it is openness, by solving following optimization problem, Accurate Reconstruction
Go out original signal：
Wherein Φ is uncorrelated to Ψ, and Ξ is referred to as CS matrixes.
The data managing method of hospital center's monitoring module includes：
Receive and safeguard more new command；
Patient status's information is obtained according to the maintenance more new command and needs to safeguard the dimension table of the dimension table of renewal
Information；
The dimension table configuration information pre-set according to the dimension table acquisition of information；Wherein, the dimension table matches somebody with somebody confidence
In breath synchronous purpose database is needed with the source database for needing to safeguard where the dimension table of renewal, the dimension table
And dimension table operating right information；
According to patient status's information and the dimension table operating right information, judge that patient status's information is
It is no to meet the dimension table operating right information；
If patient status's information meets the dimension table operating right information, to the dimension for needing to safeguard renewal
Table is updated operation；
The dimension table being updated after operating is synchronized to the purpose database of hospital center's monitoring module.
The dimension table operating right information includes：Patient status's mark with dimension table operating right；
It is described to judge whether patient status's information meets the dimension table operating right information, including：
Judge patient status's information whether in patient status's mark with dimension table operating right；
The maintenance more new command is increase content instruction, changes content instruction or delete content instruction；
Before operation is updated to the dimension table for needing maintenance to update, including：
According to the maintenance more new command, it is determined that needing to safeguard the field of renewal, and get the needs and safeguard renewal
Field field identification；
The field configuration information pre-set is got according to the field identification and the dimension table configuration information；Its
In, the field configuration information includes field contents ordering rule, field ordering information, the field restrictive condition of the field.
It is described that the dimension table for needing to safeguard renewal is carried out more if the maintenance more new command is increase content instruction
New operation, including：
Obtain batch data content corresponding to the increase content instruction；
According to the batch data content, increase field contents in one or more of dimension table field；
According to the field contents ordering rule, the field contents are ranked up；
According to the field ordering information, each field in dimension table is ranked up；
It is described that the dimension table for needing to safeguard renewal is carried out more if the maintenance more new command is change content instruction
New operation, including：
Obtain batch data content corresponding to the change content instruction；
According to the batch data content, field contents are changed in one or more of dimension table field；
If the maintenance more new command is deletes content instruction, described that the dimension table for needing to safeguard renewal is carried out more
New operation, including：
Field contents are deleted in one or more of dimension table field；
Also include：
Judge whether each field after the increase field contents, change field contents or deletion field contents meets
The field restrictive condition；
If there is field to be unsatisfactory for the field restrictive condition, prompt message is generated；The prompt message is used to prompt to be discontented with
The Field Count of the foot field restrictive condition, and prompt to be unsatisfactory for the field relevant information of the field restrictive condition；The word
Section relevant information includes the field identification or field name of the field.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement made within refreshing and principle etc., should be included in the scope of the protection.
Claims (6)
1. a kind of hospital emergency department patient Electronic Registration statistical system, it is characterised in that the hospital emergency department patient electronics is stepped on
Remember statistical system, including：
Registration module, installed in registration office, for filling in patient name, age, address, sex, the relevant information of contact method；
Medical card establishes module, installed in nurse station, is connected with registration module, and the patient for being filled in registration module closes information
Establish medical card；
Electronic entry system, establish module with medical card and be connected, information during patient registration for extracting medical card, and show and step on
Between clocking, consultation time；
Nurse's enquiry module, it is connected with electronic entry system, for the traumatic patient typing diagnostic message to collection, vital sign
Information, whereabouts information are supplemented；
See and treat patients nurse, doctor chooses module, people is connected with nurse's enquiry module, for choosing patient's traumatogenic reason, pathogenesis
And provide therapeutic scheme；It is additionally operable to choose and brings Patients with Pressure Ulcers relevant information outside institute into；
Skin test test prompting module, choose module with the nurse that sees and treat patients, doctor and be connected, for record test results to 20 minutes when
Between, and be automatically reminded to when being reached to the test results time；The based reminding method of the skin test test prompting module includes：
Skin test analysis object and the integrated information appraisement system of safe test results time are established, appraisement system is by n analysis
The system that m index of object is formed, so as to obtain initial information Evaluations matrix：
Wherein, i=1,2 ..., n；J=1,2 ..., m；
To each index normalized in A'：
Normalized index：
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Wherein, i=1,2 ..., n；J=1,2 ..., m；
Then, according to normative information matrix, the proportion of the desired value of jth item index under i-th of analysis object is determined：
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<msub>
<mi>p</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<msubsup>
<mi>log</mi>
<mn>2</mn>
<msub>
<mi>p</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
</msubsup>
</mrow>
<mrow>
<msubsup>
<mi>log</mi>
<mn>2</mn>
<mi>m</mi>
</msubsup>
</mrow>
</mfrac>
</mrow>
Wherein, Ti- it is defined as the comentropy of i-th of analysis object；
pijThe proportion of jth item index under-i-th analysis object；
I=1,2 ..., n；J=1,2 ..., m；
Similarly, safe sub-information entropy can be tried to achieve, i.e.,：
<mrow>
<msub>
<mi>S</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<mo>-</mo>
<mfrac>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>m</mi>
</munderover>
<msub>
<mi>q</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<msubsup>
<mi>log</mi>
<mn>2</mn>
<msub>
<mi>q</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
</msubsup>
</mrow>
<mrow>
<msubsup>
<mi>log</mi>
<mn>2</mn>
<mi>m</mi>
</msubsup>
</mrow>
</mfrac>
</mrow>
Wherein Si- it is defined as the safe sub-information entropy of i-th of analysis object；
qijThe proportion of jth item index under-i-th analysis object；
mijThe proportion of jth item index under-i-th analysis object；
I=1,2 ..., n；J=1,2 ..., m；
Information entropy is normalized, normalizes formula：
<mrow>
<msub>
<mi>H</mi>
<mi>c</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<mi>H</mi>
<mrow>
<mo>(</mo>
<mi>X</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
<mrow>
<mo>(</mo>
<mi>H</mi>
<mo>(</mo>
<mi>X</mi>
<mo>)</mo>
<mo>)</mo>
</mrow>
</mrow>
<mrow>
<mi>max</mi>
<mrow>
<mo>(</mo>
<mi>H</mi>
<mo>(</mo>
<mi>X</mi>
<mo>)</mo>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mi>min</mi>
<mrow>
<mo>(</mo>
<mi>H</mi>
<mo>(</mo>
<mi>X</mi>
<mo>)</mo>
<mo>)</mo>
</mrow>
</mrow>
</mfrac>
</mrow>
According to comentropy and the relation of risk factor, determine to be divided into the negative and positive differentiation standard in the stipulated time that reaches：
0.6≤Hc＜ 0.8, safe test results are negative；
0.4≤Hc＜ 0.6, safe test results are positive；
Data Enter holonomic system, it is connected with electronic entry system, emergency treatment time, six serious diseases is stopped for programming count patient
Quantity and stop the emergency treatment time, see and treat patients person-time, be in hospital person-time, emergency operation person-time, bring pressure sore person-time, all kinds of traumatosises into outside institute
People person-time；Patient flow is analyzed；Analysis judges whether emergency treatment green road is unimpeded；
Green channel detection module, it is connected with Data Enter holonomic system, it is whether unimpeded for obtaining green channel；
Hospital center's monitoring module, choose module with the nurse that sees and treat patients, doctor and be connected, the relevant information for being gone to a doctor to patient is carried out
Monitoring and management.
2. hospital emergency department patient Electronic Registration statistical system as claimed in claim 1, it is characterised in that nurse's enquiry module
Traumatic patient typing diagnostic message, vital sign information, whereabouts information are acquired by built-in information acquisition module；Institute
Stating the information collecting method of information acquisition module includes：
Echo signal x (t) is acquired within the independent sampling period with awareness apparatus, and signal carried out with A/D modes
Digital quantization；Then, dimensionality reduction is carried out to the signal x (i) after quantization；Finally, the signal after dimensionality reduction is reconstructed；Wherein t is
Sampling instant, i are the signal sequence after quantifying.
3. hospital emergency department patient Electronic Registration statistical system as claimed in claim 2, it is characterised in that after quantization
Signal carries out dimensionality reduction, the difference equation for specifically passing through finite impulse response filter to the signal after quantizationWherein h (0) ..., h (L-1) are filter coefficient, are designed based on filtering
Compressed sensing signal acquisition framework, construct following Teoplitz calculation matrix：
Then observeWherein b1,…,bLRegard filter coefficient as；Submatrix ΦFT's
Singular value is gram matrix G (ΦF, T) and=Φ 'FTΦFTThe arithmetic root of characteristic value, checking G (Φ F, T) all eigenvalue λ i
∈(1-δK,1+δK), i=1 ..., T, then ΦFMeet RIP, and original signal is reconstructed by solving following optimization problem：
<mrow>
<munder>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
<mi>x</mi>
</munder>
<mo>|</mo>
<mo>|</mo>
<mi>x</mi>
<mo>|</mo>
<msub>
<mo>|</mo>
<mn>1</mn>
</msub>
<mi>s</mi>
<mo>.</mo>
<mi>t</mi>
<mo>.</mo>
<mi>y</mi>
<mo>=</mo>
<msub>
<mi>&Phi;</mi>
<mi>x</mi>
</msub>
</mrow>
Original signal, that is, BP algorithm are reconstructed by linear programming method；
For actual compression signal, such as the collection of voice or picture signal, then Φ is changedFFor following form：
If signal conversion basic matrix Ψ on have it is openness, by solving following optimization problem, Accurate Reconstruction goes out original
Signal：
<mrow>
<munder>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
<mi>&alpha;</mi>
</munder>
<mo>|</mo>
<mo>|</mo>
<mi>&alpha;</mi>
<mo>|</mo>
<msub>
<mo>|</mo>
<mn>1</mn>
</msub>
<mi>s</mi>
<mo>.</mo>
<mi>t</mi>
<mo>.</mo>
<mi>y</mi>
<mo>=</mo>
<msub>
<mi>&Phi;</mi>
<mi>x</mi>
</msub>
<mo>=</mo>
<mi>&Phi;</mi>
<mi>&Psi;</mi>
<mi>&alpha;</mi>
<mo>=</mo>
<mi>&Xi;</mi>
<mi>&alpha;</mi>
<mo>;</mo>
</mrow>
Wherein Φ is uncorrelated to Ψ, and Ξ is referred to as CS matrixes.
4. hospital emergency department patient Electronic Registration statistical system as claimed in claim 1, it is characterised in that
The data managing method of hospital center's monitoring module includes：
Receive and safeguard more new command；
Patient status's information is obtained according to the maintenance more new command and needs to safeguard the dimension table information of the dimension table of renewal；
The dimension table configuration information pre-set according to the dimension table acquisition of information；Wherein, in the dimension table configuration information
With the source database for needing to safeguard where the dimension table of renewal, the dimension table need synchronous purpose database and
Dimension table operating right information；
According to patient status's information and the dimension table operating right information, judge whether patient status's information is full
The foot dimension table operating right information；
If patient status's information meets the dimension table operating right information, the dimension table for needing to safeguard renewal is entered
Row renewal operation；
The dimension table being updated after operating is synchronized to the purpose database of hospital center's monitoring module.
5. hospital emergency department patient Electronic Registration statistical system as claimed in claim 4, it is characterised in that
The dimension table operating right information includes：Patient status's mark with dimension table operating right；
It is described to judge whether patient status's information meets the dimension table operating right information, including：
Judge patient status's information whether in patient status's mark with dimension table operating right；
The maintenance more new command is increase content instruction, changes content instruction or delete content instruction；
Before operation is updated to the dimension table for needing maintenance to update, including：
According to the maintenance more new command, it is determined that needing to safeguard the field of renewal, and the word for needing to safeguard renewal is got
The field identification of section；
The field configuration information pre-set is got according to the field identification and the dimension table configuration information；Wherein,
The field configuration information includes field contents ordering rule, field ordering information, the field restrictive condition of the field.
6. hospital emergency department patient Electronic Registration statistical system as claimed in claim 5, it is characterised in that if the maintenance is more
New command is increase content instruction, described to be updated operation to the dimension table for needing to safeguard renewal, including：
Obtain batch data content corresponding to the increase content instruction；
According to the batch data content, increase field contents in one or more of dimension table field；
According to the field contents ordering rule, the field contents are ranked up；
According to the field ordering information, each field in dimension table is ranked up；
It is described that behaviour is updated to the dimension table for needing to safeguard renewal if the maintenance more new command is change content instruction
Make, including：
Obtain batch data content corresponding to the change content instruction；
According to the batch data content, field contents are changed in one or more of dimension table field；
If the maintenance more new command is deletes content instruction, described to be updated behaviour to the dimension table for needing to safeguard renewal
Make, including：
Field contents are deleted in one or more of dimension table field；
Also include：
It is described to judge whether the increase field contents, change field contents or each field for deleting after field contents meet
Field restrictive condition；
If there is field to be unsatisfactory for the field restrictive condition, prompt message is generated；The prompt message is unsatisfactory for institute for prompting
The Field Count of field restrictive condition is stated, and prompts to be unsatisfactory for the field relevant information of the field restrictive condition；The field phase
Closing information includes the field identification or field name of the field.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103036573A (en) * | 2012-12-03 | 2013-04-10 | 南京工业大学 | Compressed sensing signal collection method based on filtering |
| CN104252452A (en) * | 2013-06-25 | 2014-12-31 | 腾讯科技（深圳）有限公司 | Data management method and device |
| CN104331744A (en) * | 2014-10-17 | 2015-02-04 | 中国科学院、水利部成都山地灾害与环境研究所 | Debris flow risk degree evaluation method |
| CN104463752A (en) * | 2014-12-24 | 2015-03-25 | 中国人民解放军第二军医大学 | Infectious disease field medical point medical care work system |
| CN105117613A (en) * | 2015-09-25 | 2015-12-02 | 河南群智信息技术有限公司 | Medical care system based on hand-held terminal |
-
2017
- 2017-11-20 CN CN201711154497.2A patent/CN107799162A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103036573A (en) * | 2012-12-03 | 2013-04-10 | 南京工业大学 | Compressed sensing signal collection method based on filtering |
| CN104252452A (en) * | 2013-06-25 | 2014-12-31 | 腾讯科技（深圳）有限公司 | Data management method and device |
| CN104331744A (en) * | 2014-10-17 | 2015-02-04 | 中国科学院、水利部成都山地灾害与环境研究所 | Debris flow risk degree evaluation method |
| CN104463752A (en) * | 2014-12-24 | 2015-03-25 | 中国人民解放军第二军医大学 | Infectious disease field medical point medical care work system |
| CN105117613A (en) * | 2015-09-25 | 2015-12-02 | 河南群智信息技术有限公司 | Medical care system based on hand-held terminal |
Non-Patent Citations (2)
| Title |
|---|
| 孙红等: ""急诊信息化建设的研究进展"", 《万方数据知识服务平台》 * |
| 郑西川等: ""基于临床行为数据的急诊病人流向预测模型与应用研究"", 《中国数字医学》 * |
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