CN108538349A - Hospital clinical path based on clinical path variance analysis adjusts system and method - Google Patents
Hospital clinical path based on clinical path variance analysis adjusts system and method Download PDFInfo
- Publication number
- CN108538349A CN108538349A CN201810264410.5A CN201810264410A CN108538349A CN 108538349 A CN108538349 A CN 108538349A CN 201810264410 A CN201810264410 A CN 201810264410A CN 108538349 A CN108538349 A CN 108538349A
- Authority
- CN
- China
- Prior art keywords
- disease
- clinical path
- advice
- diagnosis
- treatment data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H15/00—ICT specially adapted for medical reports, e.g. generation or transmission thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
Abstract
The present invention provides a kind of hospital clinical path adjustment system and method based on clinical path variance analysis, and the method comprising the steps of：The diagnosis and treatment data of disease are pre-processed；Specific doctor's advice in diagnosis and treatment data Jing Guo pretreated disease is compared with the specific doctor's advice in the standard clinical path of the disease, and the specific doctor's advice being added in the diagnosis and treatment data of the pretreated disease in the standard clinical path of the disease and the specific doctor's advice not used in the standard clinical path for rejecting the disease；Calculate the Jaccard coefficients of each classification in the standard clinical path of the disease；The classification for being less than preset value to Jaccard coefficients is for statistical analysis and calculate the probability of every specific doctor's advice under the category；The specific doctor's advice that probability is less than predetermined probabilities is rejected in the standard clinical path of the disease, forms new standard clinical path.Present invention realization is adjusted in conjunction with the actual diagnosis and treatment data of hospital with standard clinical path, is conducive to the popularization and execution in standard clinical path.
Description
Technical field
The present invention relates to the technical field of medical information more particularly to a kind of hospitals based on clinical path variance analysis
Clinical path adjusts system and method.
Background technology
Clinical path provides the standard diagnosis and treatment meter to specific disease as a kind of quality and efficiency medical control pattern
It draws, has the effects that control medical expense, specification physician practice, improve service quality, ensure medical safety.But in actual clinical
In environment, the practice situation of clinical path is unsatisfactory, according to one group of domestic hospitals clinical path of Chinese Clinical path net publication
From the point of view of the statistical data of performance, 2011 national three-level pilot hospital operation 112 disease clinical paths in, 85
The diameter rate that enters of disease clinical path is less than 20%.One of the reason of causing such case is exactly that clinical path emphasizes diagnosis and treatment specification
Property, the standard diagnosis and treatment plan of definition cannot be generally applicable to Different hospital or different patients.
Standard diagnosis and treatment flow as defined in clinical path is difficult the personalized situation suitable for patient, hereditary disease, chronic disease, mistake
Quick history, medical history may all influence the execution of standard clinical pathway, and to the standard diagnosis and treatment scheme of same disease, no
With hospital, there may be certain differences in the process of implementation.Current most of clinical path systems all do not fully consider above two
A factor limits the practicability of clinical path so that the practical situations of clinical path are very undesirable.
Invention content
The main purpose of the present invention is to provide a kind of, and the hospital clinical path adjustment based on clinical path variance analysis is
System and method, it is intended to which solving to be not bound with practical diagnosis and treatment data in existing standard clinical path leads to the practicality in standard clinical path
The low technical problem of property
To achieve the above object, the present invention provides a kind of hospital clinical path adjustment system based on clinical path variance analysis
System, installs and runs in hospital's end server, which passes through communication network and multiple medical terminal communication links
It connects, which includes HIS systems, and hospital clinical path adjustment system that should be based on clinical path variance analysis includes
Computer program instructions, hospital's end server further include being adapted for carrying out the processor of computer program instructions and suitable for storage
The memory of computer program instructions, the computer program instructions are loaded by processor and execute following steps：
The diagnosis and treatment data of disease are obtained from HIS systems based on International Classification of Diseases；
The diagnosis and treatment data of the disease are pre-processed；
By the specific doctor's advice in the diagnosis and treatment data Jing Guo pretreated disease and the tool in the standard clinical path of the disease
Body doctor's advice is compared, and the tool in the diagnosis and treatment data of the pretreated disease is added in the standard clinical path of the disease
Body doctor's advice and reject the specific doctor's advice not used in the standard clinical path of the disease；
Calculate the Jaccard coefficients of each classification in the standard clinical path of the disease；
The classification for being less than preset value to Jaccard coefficients is for statistical analysis and calculate under the category every specific doctor's advice
Probability；
The specific doctor's advice that probability is less than predetermined probabilities is rejected in the standard clinical path of the disease, is formed new standard and is faced
Bed path is simultaneously sent to medical terminal and shows.
Preferably, the pretreated step of diagnosis and treatment data progress to the disease includes the following steps：
The diagnosis and treatment data of the disease are exported as into particular file format；
The diagnosis and treatment data of particular file format are directed into the spreadsheet installed in the server of the hospital end；
The diagnosis and treatment data that function and the importing of data verification function pair are repeated using the deletion in spreadsheet are pre-processed,
To remove the diagnosis and treatment data repeated with mistake.
Preferably, the computer program instructions are also executed the following steps by processor load：
Using convolutional neural networks and term vector in the diagnosis and treatment data Jing Guo pretreated disease specific doctor's advice with should
Specific doctor's advice in the standard clinical path of disease carries out Semantic Similarity Measurement；
By Semantic Similarity Measurement, by the standard clinical path of diagnosis and treatment data and the disease Jing Guo pretreated disease
Between similarity be more than or equal to the specific doctor's advice of default similarity and be classified as identical specific doctor's advice, while pretreated disease will be passed through
Similarity is classified as not phase less than the specific doctor's advice of default similarity between the diagnosis and treatment data and the standard clinical path of the disease of disease
Same specific doctor's advice.
Preferably, the calculation formula of the Jaccard coefficients is J=| A ∩ B |/(| A |+| B |-| A ∩ B |), wherein J is
Jaccard coefficients, A are the entry of specific doctor's advice in the standard clinical path of the disease, and B is by the pretreated disease
The entry of the specific doctor's advice of classification corresponding with A in diagnosis and treatment data, | A ∩ B | the identical specific doctor under the same category between A and B
The entry advised.
Preferably, the calculation formula of the probability of described every specific doctor's advice is P=X/Y, wherein X is the diagnosis and treatment number of disease
The stroke count of the specific doctor's advice in, Y are total stroke count of the diagnosis and treatment data of the disease.
On the other hand, the hospital clinical path method of adjustment based on clinical path variance analysis that the present invention also provides a kind of,
Applied in hospital's end server, which is communicated to connect by communication network and multiple medical terminals, the hospital
It includes HIS systems to hold server, and this method comprises the following steps：
The diagnosis and treatment data of disease are obtained from HIS systems based on International Classification of Diseases；
The diagnosis and treatment data of the disease are pre-processed；
By the specific doctor's advice in the diagnosis and treatment data Jing Guo pretreated disease and the tool in the standard clinical path of the disease
Body doctor's advice is compared, and the tool in the diagnosis and treatment data of the pretreated disease is added in the standard clinical path of the disease
Body doctor's advice and reject the specific doctor's advice not used in the standard clinical path of the disease；
Calculate the Jaccard coefficients of each classification in the standard clinical path of the disease；
The classification for being less than preset value to Jaccard coefficients is for statistical analysis and calculate under the category every specific doctor's advice
Probability；
The specific doctor's advice that probability is less than predetermined probabilities is rejected in the standard clinical path of the disease, is formed new standard and is faced
Bed path is simultaneously sent to medical terminal and shows.
Preferably, which carries out pretreated step and includes the following steps：
The diagnosis and treatment data of the disease are exported as into particular file format；
The diagnosis and treatment data of particular file format are directed into the spreadsheet installed in the server of the hospital end；
The diagnosis and treatment data that function and the importing of data verification function pair are repeated using the deletion in spreadsheet are pre-processed,
To remove the diagnosis and treatment data repeated with mistake.
Preferably, this method further includes following steps：
Using convolutional neural networks and term vector in the diagnosis and treatment data Jing Guo pretreated disease specific doctor's advice with should
Specific doctor's advice in the standard clinical path of disease carries out Semantic Similarity Measurement；
By Semantic Similarity Measurement, by the standard clinical path of diagnosis and treatment data and the disease Jing Guo pretreated disease
Between similarity be more than or equal to the specific doctor's advice of default similarity and be classified as identical specific doctor's advice, while pretreated disease will be passed through
Similarity is classified as not phase less than the specific doctor's advice of default similarity between the diagnosis and treatment data and the standard clinical path of the disease of disease
Same specific doctor's advice.
Preferably, the calculation formula of the Jaccard coefficients is J=| A ∩ B |/(| A |+| B |-| A ∩ B |), wherein J is
Jaccard coefficients, A are the entry of specific doctor's advice in the standard clinical path of the disease, and B is by the pretreated disease
The entry of the specific doctor's advice of classification corresponding with A in diagnosis and treatment data, | A ∩ B | the identical specific doctor under the same category between A and B
The entry advised.
Preferably, the calculation formula of the probability of described every specific doctor's advice is P=X/Y, wherein X is the diagnosis and treatment number of disease
The stroke count of the specific doctor's advice in, Y are total stroke count of the diagnosis and treatment data of the disease.
Compared to the prior art, it is of the present invention based on clinical path variance analysis hospital clinical path adjustment system and
Method passes through, and is adjusted with standard clinical path in conjunction with the actual diagnosis and treatment data of hospital, has both remained standard clinical path
Format and therapeutic scheme, and the specific actual conditions of hospital are bonded, be conducive to the popularization and execution in standard clinical path, while also side
Just hospital management, and improve diagnosis efficiency.
Description of the drawings
Fig. 1 is that the present invention is based on the applications that the hospital clinical path of clinical path variance analysis adjusts System Preferred embodiments
Environment schematic；
Fig. 2 is the functional block diagram of the hospital clinical path adjustment system based on clinical path variance analysis of Fig. 1；
Fig. 3 is the stream of the preferred embodiment of the hospital clinical path method of adjustment the present invention is based on clinical path variance analysis
Cheng Tu；
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific implementation mode
It is of the invention to reach the technological means and effect that predetermined goal of the invention is taken further to illustrate, below in conjunction with
Attached drawing and preferred embodiment, to specific implementation mode, structure, feature and its effect of the present invention, detailed description are as follows.It should manage
Solution, the specific embodiments described herein are merely illustrative of the present invention, is not intended to limit the present invention.
Shown in referring to Fig.1, Fig. 1 is that the present invention is based on the hospital clinical paths of clinical path variance analysis to adjust the excellent of system
Select the application environment schematic diagram of embodiment.In the present embodiment, the hospital clinical path based on clinical path variance analysis
Hospital's end server 1 is installed and operated in adjustment system 10, and hospital's end server 1 is whole by communication network 3 and multiple medical treatment
End 2 carries out information communication, such as receives medical information of the patient during hospital's diagnosis and treatment from each medical terminal 2, and will
Medical information of the patient during hospital's diagnosis and treatment is uploaded to the preservation of medical terminal 2.
Hospital end server 1 is a kind of tools such as mainframe computer, server, cloud platform server being arranged in hospital
There is the high in the clouds computing device of data processing and communication function.In the present embodiment, hospital end server 1 includes, but not only
It is limited to, the hospital clinical path based on clinical path variance analysis adjusts system 10, is suitable for storing a plurality of computer program instructions
Memory 11, execute processor 12, communication unit 13 and the HIS systems 14 of various computer program instructions.The storage
Device 11 can be a kind of read only memory ROM, random access memory ram, electrically-erasable memory EEPROM, flash memory
FLASH, disk or CD etc..The processor 12 is a kind of central processing unit (CPU), microcontroller (MCU), data processing core
Piece or information process unit with data processing function.The communication unit 13 is a kind of with remote communicating function
Wired or wireless communication interface, for example, supporting the communication skill such as GSM, GPRS, WCDMA, CDMA, WIFI, bluetooth (Bluetooth)
The communication interface of art.The HIS systems 14 are mounted in hospital's end server 1, the medical treatment for recording and managing entire hospital
Data information includes the medical information of patient.Further, mark is also prestored in the memory 11 of hospital end server 1
Quasi- clinical path.The standard clinical path is the standard clinical path that national health authorities announce.The standard clinical
Path refers to establishing a set of standardized therapeutic pattern and treatment procedure for a certain disease, is a synthesis in relation to clinical treatment
Pattern promotes the method for treating tissue and disease control so that evidence-based medical and guide are guidance, finally plays specification doctor
Treatment behavior reduces variation, reduces cost, improve the effect of quality.In the present embodiment, shown standard clinical path is from country
The standard clinical path of hygienic general office of State Family Planning Commission publication.The standard clinical opinion sword includes, but are not limited to disease name, state
Border classification of diseases (International Classification of diseases, ICD) coding, treatment stage, emphasis doctor
The information such as advise, wherein the emphasis doctor's advice further includes, but is not limited to, general treatment, inspection, inspection, drug therapy and operation etc.
Classification, per a kind of also comprising two subclasses of standing orders and temporary orders, the standing orders and temporary orders are interior including specific
Doctor's advice (for example, " Cardiological nursing routine " is specific doctor's advice), the treatment stage includes, but are not limited to the 1-3 days in hospital
Stage is hospitalized stage period and (is hospitalized and is more than 3 days), 1-3 days stages and the classifications such as day of leaving hospital before discharge.The following table 1 is with hypertension
Standard clinical path for illustrate：
Table 1
It should be noted that limited as space is limited, there is no all arrange for classification in the standard clinical path of above-mentioned hypertension
It is bright in table 1.
In the present embodiment, the medical terminal 2 is a kind of individual calculus being arranged in each medical department of hospital
The computer installations such as machine, laptop computer, computer workstation.One or more medical treatment can be arranged in each medical department of hospital
Terminal 2, each medical terminal 2 are used to believe to input the medical treatment of patient when patient's diagnosis and treatment for the doctor of each section office of hospital
Breath, and the HIS systems 14 that all medical informations that patient generates during diagnosis and treatment are sent to hospital's end server 1 preserve.
The communication network 3 can be Wi-Fi (such as the telecommunication networks such as GPRS, WIFI, Bluetooth) or interconnection
World-wide web (such as the networks such as Internet).
As shown in Fig. 2, Fig. 2 is that the present invention is based on the functions that the hospital clinical path of clinical path variance analysis adjusts system
Module map.In the present embodiment, the hospital clinical path based on clinical path variance analysis adjusts system 10 by various meters
The program module composition of calculation machine program instruction composition, including but not limited to, acquisition module 101, compares preprocessing module 102
Module 103, computing module 104 and removing module 105.The so-called module of the present invention, which refers to one kind, to be executed by processor 12
And the series of computation machine program instruction section that can complete fixed function, is stored in memory 11, below in conjunction with Fig. 1 and
Fig. 3 illustrates the concrete function of each module.
Refering to what is shown in Fig. 3, being the preferred of the hospital clinical path method of adjustment the present invention is based on clinical path variance analysis
The flow chart of embodiment.In the present embodiment, the hospital clinical path method of adjustment based on clinical path variance analysis
Various method and steps realize that the computer software programs are deposited in the form of computer program instructions by computer software programs
It is stored in computer readable storage medium (such as memory 11), computer readable storage medium may include：Read-only memory,
Random access memory, disk or CD etc., the computer program instructions can be loaded and held by processor (such as processor 12)
Row following steps S31 to step S36.
Step S31 obtains the diagnosis and treatment data of disease based on International Classification of Diseases from hospital information system 14.It needs to illustrate
Be, the HIS systems 14 include hospital generate various data, including but not limited to, electronic health record data, payment data,
The various medical treatment such as drugs supply quotient data, social security data, medical instrument related data, section office's introduction, clinic diagnosis data are related
Data.In the present embodiment, the acquisition module 101 is obtained according to International Classification of Diseases acquisition of information from clinic diagnosis data
The diagnosis and treatment data of disease are taken, for example, obtaining examining for the actual hypertension of hospital based on the corresponding International Classification of Diseases number of hypertension
Treat data.
Step S32 pre-processes the diagnosis and treatment data of the disease.In the present embodiment, to the diagnosis and treatment of the disease
Data carry out pretreated purpose and are to repeat the diagnosis and treatment data with mistake in the diagnosis and treatment data for removing the disease.Specifically, institute
It states preprocessing module 102 and the diagnosis and treatment data of the disease is exported as into particular file format (for example, csv file format), and will
The diagnosis and treatment data of csv file format are directed into the spreadsheet installed in hospital end server 1 (for example, Microsoft
The Excel softwares of exploitation), using in spreadsheet deletion duplicate keys and the data verification function (deletion i.e. in spreadsheet
Duplicate keys function and data verification function) the diagnosis and treatment data of importing are pre-processed, to remove the diagnosis and treatment number repeated with mistake
According to.
Step S33, by the standard clinical road of specific doctor's advice and the disease in the diagnosis and treatment data Jing Guo pretreated disease
Specific doctor's advice in diameter is compared, and the diagnosis and treatment number of the pretreated disease is added in the standard clinical path of the disease
Specific doctor's advice in and reject the specific doctor's advice not used in the standard clinical path of the disease.The standard of the disease is faced
In bed path the specific doctor's advice that does not use refer to the disease standard clinical path in specific doctor's advice not in the pretreatment
Disease diagnosis and treatment data in find corresponding specific doctor's advice.The following table 2 is specific doctor's advice and height in the diagnosis and treatment data of hypertension
The standard clinical path that specific doctor's advice in the standard clinical path of blood pressure is formed after being compared：
Table 2
Since the standard clinical path of hypertension does not provide specific therapeutic scheme, also without operative treatment side
Case, therefore, the present embodiment are to be directed to general treatment, inspection, check progress Path error analysis, also without display medicine in upper table 2
Object is treated and these classifications of performing the operation.
Further, due to the specific doctor's advice title of the specific doctor's advice title and standard clinical path that are actually used in hospital
It is not fully identical, it is directly compared according to keyword, can cause to omit.Therefore, the comparison module 103 uses convolutional Neural
Network and term vector carry out Semantic Similarity Measurement to the specific doctor's advice title on both sides, and the two similarity is more than or equal to default phase
It is classified as identical specific doctor's advice like the specific doctor's advice of degree.By Semantic Similarity Measurement, similarity will be more than or equal between the two
The specific doctor's advice of default similarity (for example, 85%) is classified as identical specific doctor's advice, while similarity will be less than in advance between the two
If the specific doctor's advice of similarity is classified as different specific doctor's advice.That is, by Semantic Similarity Measurement, warp can be compared
Which the specific doctor's advice crossed in the diagnosis and treatment data of pretreated disease has identical as the specific doctor's advice in standard clinical path, which has
It is different from the specific doctor's advice in standard clinical path a bit (to have in standard clinical path, and pass through each pretreated disease
Do not have in diagnosis and treatment data or standard clinical path in do not have, and have in the diagnosis and treatment data Jing Guo each pretreated disease).
Step S34 calculates each classification in the standard clinical path of the disease (that is, general treatment, inspection under emphasis doctor's advice
The classifications such as test, check, performing the operation) Jaccard (Jie Kade) coefficient.The Jaccard coefficients are similarity factor, are used for comparative sample
Similitude between this collection and otherness.The value of the Jaccard coefficients is bigger, then the similarity between sample set is higher.
In the present embodiment, the computing module 104 calculates the standard clinical road of the disease by the calculation formula of following Jaccard coefficients
The Jaccard coefficients of each classification in diameter：The calculation formula of Jaccard coefficients is J=| A ∩ B |/(| A |+| B |-| A ∩ B |),
Wherein, J is Jaccard coefficients, and A is the entry of specific doctor's advice in the standard clinical path of disease, and B is to pass through the pretreated disease
The entry of the specific doctor's advice of classification corresponding with A in the diagnosis and treatment data of disease, | A ∩ B | the identical tool under the same category between A and B
The entry of body doctor's advice.Specifically, general in the standard clinical path of the hypertension by taking the standard clinical path of hypertension as an example
The entry of specific doctor's advice is 60 under treatment, and the entry of specific doctor's advice is 80 under general treatment in the diagnosis and treatment data of the disease
Item, the entry of identical specific doctor's advice is 40 under general treatment between the two, then the computing module 104 calculates
Jaccard coefficients (general treatment) are 0.4.Jaccard coefficients (inspection)=0.628, Jaccard systems can similarly be calculated
Number (inspection)=0.333.
Step S35, the classification that preset value is less than to Jaccard coefficients are for statistical analysis and calculate under the category every tool
The probability of body doctor's advice.In the present embodiment, computing module 104 is less than Jaccard coefficients the classification of preset value (for example, 0.5),
Probability that is for statistical analysis and calculating every specific doctor's advice under the category.The wherein Jaccard coefficients of general treatment and inspection
Respectively less than 0.5, in description standard clinical path the therapeutic scheme and hospital clinical therapeutic scheme deviation of general treatment and inspection compared with
Greatly, it need to be adjusted, and calculates in general treatment and check the probability of every specific doctor's advice appearance in this two class.It is described
The calculation formula of the probability of every specific doctor's advice is P=X/Y, wherein X is the stroke count of the specific doctor's advice in the diagnosis and treatment data, and Y is
Total stroke count of the diagnosis and treatment data of the disease.As shown in table 3 below：
Table 3
For example, a total of 10,000 of the diagnosis and treatment data of hypertension, and in " being hospitalized 1-3 days period " and point of " general treatment "
The stroke count of specific doctor's advice " lying up " is 3333 in class, then the probability of specific doctor's advice " lying up " is 33.33%.
Step S36 rejects the specific doctor's advice that probability is less than predetermined probabilities in standard clinical path, forms new standard and face
Bed path is simultaneously sent to the display of medical terminal 2.Specifically, removing module 105 is rejected probability in standard clinical path and is less than in advance
If the specific doctor's advice of probability (for example, 80%), forms new standard clinical path and be sent to the display of medical terminal 2.From upper table 3
As can be seen that in general treatment scheme, stay and accompany people, the specific doctor's advice probability of occurrence of less salt low fat diet two is 100%, therefore
This two specific doctor's advices should be retained in standard clinical path.And the specific doctor's advice probability of occurrence lain up only has
33.33%, the removing module 105 deletes the specific doctor's advice.In other embodiments, standard clinical path can also be sent out
Expert group is given to be audited.For example, in inspection, glycosylated hemoglobin, the specific doctor's advice of fecal occult blood two respectively accounts for
66.67%, it can be decided whether by hospital expert group in the standard clinical path for being retained in hypertension by this two.
The hospital clinical path adjustment system and method based on clinical path variance analysis that the embodiment of the present invention is provided,
Standard clinical path is adjusted in conjunction with hospital's actual diagnosis and treatment data, has both remained format and the treatment in standard clinical path
Scheme, and the specific actual conditions of hospital are bonded, be conducive to the popularization and execution in standard clinical path, while being also convenient for hospital's pipe
Reason, and improve diagnosis efficiency.
It will be understood by those skilled in the art that all or part of step of various methods can pass through in the above embodiment
Relative program instruction is completed, which can be stored in computer readable storage medium, and storage medium may include：It is read-only to deposit
Reservoir, random access memory, disk or CD etc..
It these are only the preferred embodiment of the present invention, be not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of hospital clinical path based on clinical path variance analysis adjusts system, installs and run on hospital's end server
In, which is communicated to connect by communication network and multiple medical terminals, which includes HIS systems
System, which is characterized in that hospital clinical path adjustment system that should be based on clinical path variance analysis includes computer program instructions,
Hospital's end server further includes being adapted for carrying out the processor of computer program instructions and suitable for storage computer program instructions
Memory, the computer program instructions load by processor and execute following steps：
The diagnosis and treatment data of disease are obtained from HIS systems based on International Classification of Diseases；
The diagnosis and treatment data of the disease are pre-processed；
By the specific doctor's advice in the diagnosis and treatment data Jing Guo pretreated disease and the specific doctor in the standard clinical path of the disease
It advises and is compared, and the specific doctor in the diagnosis and treatment data of the pretreated disease is added in the standard clinical path of the disease
It advises and rejects the specific doctor's advice not used in the standard clinical path of the disease；
Calculate the Jaccard coefficients of each classification in the standard clinical path of the disease；
The classification for being less than preset value to Jaccard coefficients is for statistical analysis and calculate under the category the general of every specific doctor's advice
Rate；
The specific doctor's advice that probability is less than predetermined probabilities is rejected in the standard clinical path of the disease, forms new standard clinical road
Diameter is simultaneously sent to medical terminal and shows.
2. the hospital clinical path based on clinical path variance analysis adjusts system as described in claim 1, which is characterized in that
The diagnosis and treatment data to the disease carry out pretreated step and include the following steps：
The diagnosis and treatment data of the disease are exported as into particular file format；
The diagnosis and treatment data of particular file format are directed into the spreadsheet installed in the server of the hospital end；
The diagnosis and treatment data that function and the importing of data verification function pair are repeated using the deletion in spreadsheet are pre-processed, with clear
Except the diagnosis and treatment data repeated with mistake.
3. the hospital clinical path based on clinical path variance analysis adjusts system as described in claim 1, which is characterized in that
The computer program instructions are also executed the following steps by processor load：
Using convolutional neural networks and term vector to the specific doctor's advice and the disease in the diagnosis and treatment data Jing Guo pretreated disease
Standard clinical path in specific doctor's advice carry out Semantic Similarity Measurement；
It, will be between the diagnosis and treatment data Jing Guo pretreated disease and the standard clinical path of the disease by Semantic Similarity Measurement
The specific doctor's advice that similarity is more than or equal to default similarity is classified as identical specific doctor's advice, while will be by pretreated disease
Similarity is classified as different less than the specific doctor's advice of default similarity between diagnosis and treatment data and the standard clinical path of the disease
Specific doctor's advice.
4. the hospital clinical path based on clinical path variance analysis adjusts system as described in claim 1, which is characterized in that
The calculation formula of the Jaccard coefficients is J=| A ∩ B |/(| A |+| B |-| A ∩ B |), wherein J is Jaccard coefficients, and A is
The entry of specific doctor's advice in the standard clinical path of the disease, B be in diagnosis and treatment data Jing Guo the pretreated disease with A pairs
Answer the entry of the specific doctor's advice of classification, | A ∩ B | between A and B under the same category identical specific doctor's advice entry.
5. the hospital clinical path based on clinical path variance analysis adjusts system as described in claim 1, which is characterized in that
The calculation formula of the probability of described every specific doctor's advice is P=X/Y, wherein X is the specific doctor's advice in the diagnosis and treatment data of disease
Stroke count, Y are total stroke count of the diagnosis and treatment data of the disease.
It, should 6. a kind of hospital clinical path method of adjustment based on clinical path variance analysis is applied in hospital's end server
Hospital's end server is communicated to connect by communication network and multiple medical terminals, which includes HIS systems, special
Sign is that this method comprises the following steps：
The diagnosis and treatment data of disease are obtained from HIS systems based on International Classification of Diseases；
The diagnosis and treatment data of the disease are pre-processed；
By the specific doctor's advice in the diagnosis and treatment data Jing Guo pretreated disease and the specific doctor in the standard clinical path of the disease
It advises and is compared, and the specific doctor in the diagnosis and treatment data of the pretreated disease is added in the standard clinical path of the disease
It advises and rejects the specific doctor's advice not used in the standard clinical path of the disease；
Calculate the Jaccard coefficients of each classification in the standard clinical path of the disease；
The classification for being less than preset value to Jaccard coefficients is for statistical analysis and calculate under the category the general of every specific doctor's advice
Rate；
The specific doctor's advice that probability is less than predetermined probabilities is rejected in the standard clinical path of the disease, forms new standard clinical road
Diameter is simultaneously sent to medical terminal and shows.
7. the hospital clinical path method of adjustment based on clinical path variance analysis as claimed in claim 6, which is characterized in that
The diagnosis and treatment data to the disease carry out pretreated step and include the following steps：
The diagnosis and treatment data of the disease are exported as into particular file format；
The diagnosis and treatment data of particular file format are directed into the spreadsheet installed in the server of the hospital end；
The diagnosis and treatment data that function and the importing of data verification function pair are repeated using the deletion in spreadsheet are pre-processed, with clear
Except the diagnosis and treatment data repeated with mistake.
8. the hospital clinical path method of adjustment based on clinical path variance analysis as claimed in claim 6, which is characterized in that
This method further includes following steps：
Using convolutional neural networks and term vector to the specific doctor's advice and the disease in the diagnosis and treatment data Jing Guo pretreated disease
Standard clinical path in specific doctor's advice carry out Semantic Similarity Measurement；
It, will be between the diagnosis and treatment data Jing Guo pretreated disease and the standard clinical path of the disease by Semantic Similarity Measurement
The specific doctor's advice that similarity is more than or equal to default similarity is classified as identical specific doctor's advice, while will be by pretreated disease
Similarity is classified as different less than the specific doctor's advice of default similarity between diagnosis and treatment data and the standard clinical path of the disease
Specific doctor's advice.
9. the hospital clinical path method of adjustment based on clinical path variance analysis as claimed in claim 6, which is characterized in that
The calculation formula of the Jaccard coefficients is J=| A ∩ B |/(| A |+| B |-| A ∩ B |), wherein J is Jaccard coefficients, and A is
The entry of specific doctor's advice in the standard clinical path of the disease, B be in diagnosis and treatment data Jing Guo the pretreated disease with A pairs
Answer the entry of the specific doctor's advice of classification, | A ∩ B | between A and B under the same category identical specific doctor's advice entry.
10. the hospital clinical path method of adjustment based on clinical path variance analysis, feature exist as claimed in claim 6
In the calculation formula of the probability of described every specific doctor's advice is P=X/Y, wherein X is the specific doctor in the diagnosis and treatment data of disease
The stroke count advised, Y are total stroke count of the diagnosis and treatment data of the disease.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810264410.5A CN108538349A (en) | 2018-03-28 | 2018-03-28 | Hospital clinical path based on clinical path variance analysis adjusts system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810264410.5A CN108538349A (en) | 2018-03-28 | 2018-03-28 | Hospital clinical path based on clinical path variance analysis adjusts system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108538349A true CN108538349A (en) | 2018-09-14 |
Family
ID=63485280
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810264410.5A Pending CN108538349A (en) | 2018-03-28 | 2018-03-28 | Hospital clinical path based on clinical path variance analysis adjusts system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108538349A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109545383A (en) * | 2018-11-12 | 2019-03-29 | 北京懿医云科技有限公司 | Actual clinical path mutation detection method and device, storage medium, electronic equipment |
| CN109559819A (en) * | 2018-10-27 | 2019-04-02 | 平安医疗健康管理股份有限公司 | Method, apparatus and terminal are determined based on the disease of sample process |
| CN110957013A (en) * | 2018-09-27 | 2020-04-03 | 清华大学 | Method and device for localization of clinical pathways based on genetic algorithm |
| CN112365976A (en) * | 2020-11-14 | 2021-02-12 | 南昌大学第二附属医院 | Compound disease clinical path construction method and system based on transfer learning |
| CN113421639A (en) * | 2021-04-27 | 2021-09-21 | 望海康信(北京)科技股份公司 | Clinical pathway formation system, method, and corresponding apparatus and storage medium |
| CN113539482A (en) * | 2021-08-02 | 2021-10-22 | 曜立科技(北京)有限公司 | Postoperative clinical path intelligent analysis management system |
| CN116189910A (en) * | 2023-03-15 | 2023-05-30 | 中国人民解放军总医院 | Disease diagnosis and treatment quality management system based on big data technology |
| CN117542535A (en) * | 2024-01-10 | 2024-02-09 | 电子科技大学 | Clinical path correction method and device |
-
2018
- 2018-03-28 CN CN201810264410.5A patent/CN108538349A/en active Pending
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110957013A (en) * | 2018-09-27 | 2020-04-03 | 清华大学 | Method and device for localization of clinical pathways based on genetic algorithm |
| CN110957013B (en) * | 2018-09-27 | 2022-09-23 | 清华大学 | Method and device for localization of clinical pathways based on genetic algorithm |
| CN109559819A (en) * | 2018-10-27 | 2019-04-02 | 平安医疗健康管理股份有限公司 | Method, apparatus and terminal are determined based on the disease of sample process |
| CN109545383A (en) * | 2018-11-12 | 2019-03-29 | 北京懿医云科技有限公司 | Actual clinical path mutation detection method and device, storage medium, electronic equipment |
| CN112365976A (en) * | 2020-11-14 | 2021-02-12 | 南昌大学第二附属医院 | Compound disease clinical path construction method and system based on transfer learning |
| CN112365976B (en) * | 2020-11-14 | 2023-08-11 | 南昌大学第二附属医院 | Composite disease species clinical path construction method and system based on transfer learning |
| CN113421639A (en) * | 2021-04-27 | 2021-09-21 | 望海康信(北京)科技股份公司 | Clinical pathway formation system, method, and corresponding apparatus and storage medium |
| CN113421639B (en) * | 2021-04-27 | 2023-11-10 | 望海康信(北京)科技股份公司 | Clinical path forming system, method, corresponding equipment and storage medium |
| CN113539482A (en) * | 2021-08-02 | 2021-10-22 | 曜立科技(北京)有限公司 | Postoperative clinical path intelligent analysis management system |
| CN116189910A (en) * | 2023-03-15 | 2023-05-30 | 中国人民解放军总医院 | Disease diagnosis and treatment quality management system based on big data technology |
| CN117542535A (en) * | 2024-01-10 | 2024-02-09 | 电子科技大学 | Clinical path correction method and device |
| CN117542535B (en) * | 2024-01-10 | 2024-03-22 | 电子科技大学 | Clinical path correction method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108538349A (en) | Hospital clinical path based on clinical path variance analysis adjusts system and method | |
| Kim et al. | Medical informatics research trend analysis: a text mining approach | |
| US9251310B2 (en) | Therapy management system and method for peritoneal dialysis | |
| JP6907831B2 (en) | Context-based patient similarity methods and equipment | |
| US20030233250A1 (en) | Systems and methods for managing biological data and providing data interpretation tools | |
| Meier et al. | The utility of lesion classification in predicting language and treatment outcomes in chronic stroke-induced aphasia | |
| CN107767929A (en) | CRF filling method, device, electronic equipment and storage medium | |
| WO2019041711A1 (en) | Chronic disease follow-up monitoring system and method based on health examination all-in-one machine | |
| US20130024207A1 (en) | Use of patient-centric records to facilitate analysis of outcomes of medical therapies | |
| CN106793957A (en) | Medical system and method for predicting patient care future outcomes | |
| Goldberg et al. | A controlled time-series trial of clinical reminders: using computerized firm systems to make quality improvement research a routine part of mainstream practice. | |
| WO2009148803A2 (en) | Methods and systems for integrated health systems | |
| US20130024125A1 (en) | Statistical analysis of medical therapy outcomes | |
| CN109522331A (en) | Compartmentalization various dimensions health data processing method and medium centered on individual | |
| CN113468138A (en) | Method, system and computer medium for perfecting medical database rules | |
| He et al. | Comparing and contrasting a priori and a posteriori generalizability assessment of clinical trials on type 2 diabetes mellitus | |
| Gehan | Biostatistics in the new millennium: a consulting statistician's perspective | |
| Jalali et al. | Assessment of Effect of Group Psychotherapy by Yalom Method Using Narrative Approach on Stress, Anxiety, Depression and Life Expectancy in Women Cancer Receiving Chemotherapy | |
| KR102407987B1 (en) | Methdo and apparatus for building bio data hub | |
| WO2013016143A1 (en) | Analysis of medical therapy outcomes | |
| White | The role of lung cancer nurse specialists | |
| US11081217B2 (en) | Systems and methods for optimal health assessment and optimal preventive program development in population health management | |
| Gao et al. | Current Status of Healthcare and Available E-Health Solutions in China | |
| Huang et al. | Gender disparities in AMI management and outcomes among health professionals, their relatives, and non-health professionals in Taiwan from 1997 to 2007 | |
| KR100599923B1 (en) | Method of analyzing diagnosis and medicine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180914 |
|
| WD01 | Invention patent application deemed withdrawn after publication |