CN110164551A - Blood disease intelligence diagnosis and treatment auxiliary system - Google Patents
Blood disease intelligence diagnosis and treatment auxiliary system Download PDFInfo
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- CN110164551A CN110164551A CN201910439579.4A CN201910439579A CN110164551A CN 110164551 A CN110164551 A CN 110164551A CN 201910439579 A CN201910439579 A CN 201910439579A CN 110164551 A CN110164551 A CN 110164551A
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
Present disclose provides a kind of blood disease intelligence diagnosis and treatment auxiliary systems, comprising: patient basis's module is used to store admission information, progress note, doctor's advice information, discharge record, gop information and the temperature chart of patient；Routine inspection module is used to store all routine inspection documents, and these documents is classified, and each type of document is laid out document sequentially in time, and retrieval is provided in the form of list or distribution map；Blood disease checks module, is used to store blood samples of patients disease and checks document；Diagnosis and treatment process module is used to transfer patient basis's module, routine inspection module and blood disease according to corresponding blood disease parting algorithm and checks index of correlation in module, calculates corresponding blood disease type and the classification of prognostic risk degree；All therapeutic schemes to match and display are transferred from therapeutic scheme library according to blood disease type and the classification of prognostic risk degree.
Description
Technical field
The disclosure belongs to artificial intelligence field more particularly to a kind of blood disease intelligence diagnosis and treatment auxiliary system.
Background technique
Only there is provided background technical informations relevant to the disclosure for the statement of this part, it is not necessary to so constitute first skill
Art.
Blood disease is also known as disease of hematopoietic system, wherein the malignant hematologic diseases such as leukaemia, lymthoma, Huppert's disease disease
Because extremely complex.Blood disease have diverse clinical manifestations, laboratory check many and diverse, diagnosis and parting are complicated, prognosis layering is careful,
Treatment cycle, close follow up time are long, strongly professional, diagnosis and treatment update the features such as rapid.Such as acute myeloid leukemia, according to
WHO parting can be divided into nearly 20 kinds of hypotypes；Laboratory, which checks, is related to blood cell shape, Bone Marrow Cell Morphology, immunology, gene
The multinomial content such as, cytogenetics；The therapeutic scheme individuation of patient, it is heterogeneous larger, it treats when 1 year, follow-up
Between even it is longer.
Inventors have found that requiring clinician that must have a large amount of professional knowledge to store up in view of the hemopathic above feature
Standby, good memory, quick observation power, clinical experience abundant, and the newest diagnosis and treatment progress of moment follow-up.Doctor needs
It carries out summarizing judgement on the basis of convergence multiple types knowledge and data, on the other hand, medical data distribution exists in most of hospital
In multiple systems such as HIS, LIS, information island is formed, lacks unified operation and aggregated view towards diagnosis and treatment process, it is all kinds of to examine
It treats knowledge and standardizes also more many and diverse and dispersion, this makes clinician search case, reviews medical history, and clearly treatment is passed through,
Formulation therapeutic regimen etc. takes a substantial amount of time and energy, leads to doctor's heavy workload, duplication of labour increase, nothing
Accurately personalized recommendation goes out the therapeutic scheme to match to method.
Summary of the invention
To solve the above-mentioned problems, the disclosure provides a kind of blood disease intelligence diagnosis and treatment auxiliary system, can be personalized quasi-
Really recommend the therapeutic scheme to match out, reduces doctor's workload, improve its working efficiency.
To achieve the goals above, the disclosure adopts the following technical scheme that
A kind of blood disease intelligence diagnosis and treatment auxiliary system, comprising:
Patient basis's module, be used to store the admission information of patient, progress note, doctor's advice information, discharge record,
Gop information and temperature chart；
Routine inspection module is used to store all routine inspection documents, and these documents is classified, each type
Routine inspection document be laid out document sequentially in time, in the form of list or distribution map provide retrieval；
Blood disease checks module, is used to store blood samples of patients disease and checks document, is mentioned in the form of list or statistical graph
For retrieval and retrospective analysis；
Diagnosis and treatment process module is used to transfer patient basis's module, conventional inspection according to corresponding blood disease parting algorithm
It looks into module and blood disease checks index of correlation in module, calculate corresponding blood disease parting and the classification of prognostic risk degree；According to blood
All therapeutic schemes to match and display are transferred in liquid disease parting and the classification of prognostic risk degree from therapeutic scheme library, are reminded simultaneously
Related attentional item.
The beneficial effect of the disclosure is:
A kind of blood disease intelligence diagnosis and treatment auxiliary system of the disclosure examines patient basis, routine inspection and blood disease
These information are looked into, are linked together by diagnosis and treatment process module, patient basis is transferred according to corresponding blood disease parting algorithm
Module, routine inspection module and blood disease check index of correlation in module, calculate corresponding blood disease parting and prognostic risk degree
Classification；All therapeutic schemes to match are transferred from therapeutic scheme library according to blood disease parting and the classification of prognostic risk degree and are shown
Show, while reminding related attentional item, realizes that similar case out is accurately recommended in personalization, reduce doctor's workload, improve it
The purpose of working efficiency.
Detailed description of the invention
The Figure of description for constituting a part of this disclosure is used to provide further understanding of the disclosure, and the disclosure is shown
Meaning property embodiment and its explanation do not constitute the improper restriction to the disclosure for explaining the disclosure.
Fig. 1 is a kind of structural schematic diagram for blood disease intelligence diagnosis and treatment auxiliary system that the embodiment of the present disclosure provides.
Specific embodiment
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the disclosure.Unless another
It indicates, all technical and scientific terms used herein has usual with disclosure person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the disclosure.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
Term is explained:
Blood disease: being also known as disease of hematopoietic system, including being primary in hemopoietic system and mainly involving the disease of hemopoietic system.
Fig. 1 is a kind of structural schematic diagram for blood disease intelligence diagnosis and treatment auxiliary system that the embodiment of the present disclosure provides.
As shown in Figure 1, a kind of blood disease intelligence diagnosis and treatment auxiliary system of the present embodiment, comprising: patient basis's module
101, routine inspection module 102, blood disease check module 103 and diagnosis and treatment process module 104.
Specifically, patient basis's module 101 is used to store admission information, progress note, the doctor's advice letter of patient
Breath, discharge record, gop information and temperature chart.
Wherein, the admission information of patient includes the essential informations such as gender, height, weight and all previous history information being hospitalized
With physical examination information.
Progress note includes progress note for the first time, condition assessment of being admitted to hospital, record of making the rounds of the wards, puncture record, blood transfusion record etc..
Doctor's advice information includes medical doctor's advice, drug doctor's advice, is hospitalized or doctor's advice of transferring from one department to another, and is the detailed data of patient specific treatment
Record.
Discharge record includes the letter such as situation, admission diagnosis, Hospitalization situation, drug therapy, final diagnosis, discharge instructions of being admitted to hospital
The description text of breath.
Gop information is the record information of patient's outpatient service.
The data such as temperature pulse respiration, the rhythm of the heart, blood pressure, discrepancy amount during record has patient to be hospitalized on temperature chart.
Routine inspection module 102 is used to store all routine inspection documents, and these documents is classified, and every kind
The routine inspection document of type is laid out document sequentially in time, and retrieval is provided in the form of list or distribution map.
For convenience of doctor's lookup, the present embodiment will check that the distribution map of document in time is made according to the classification of routine inspection
For the inquiry entrance of document, facilitates doctor to browse and search and check document.
In specific implementation, in the routine inspection module, the ordinate of routine inspection document distribution map is conventional inspection
The type looked into；Abscissa is the date, from the previous day of the Start Date of the current course for the treatment of, is terminated by N days, and N is positive integer；It uses centre
Scatterplot is the routine inspection document on corresponding date.
It is understood that N can be determined specifically according to the actual situation.
In the routine inspection module, Echart mapping program is called to draw routine inspection document distribution map.
It is simple that Echart mapping program carries out mapping operation, and comprehensibility is strong.
It should be noted that other existing mapping programs can also be used to carry out drawing conventional inspection in those skilled in the art
Verification certificate is according to distribution map.
In the routine inspection module, during drawing routine inspection document distribution map, according to simultaneous
The quantity of similar routine inspection, draws out the circle of correspondingly sized radius, and is added on the correspondence date of abscissa；Wherein,
The quantity of simultaneous similar routine inspection is more, and the radius of circle is bigger.
Such as: the quantity of simultaneous similar routine inspection is 1, and the radius of circle is 1 unit；
The quantity of simultaneous similar routine inspection is 2, and the radius of circle is 2 units；
The quantity of simultaneous similar routine inspection is 3, and the radius of circle is 3 units.
If some circle is associated with multiple routine inspection documents, when receive check request when, shown with tabular form current
The associated all routine inspection documents of circle.
The associated all routine inspection documents of current circle are shown in a manner of list, are facilitated doctor to browse and search and are checked
Document.
It, will be different types of normal during drawing routine inspection document distribution map in the routine inspection module
Rule check that document fills different color circles.
Such as:
The type of routine inspection document is divided into: blood routine, cerebrospinal fluid, blood biochemistry, tumour, microorganism, is immunized blood coagulation correlation
Globulin, anaemia, rheumatism series, infection correlation and other types.
It is many and diverse that blood disease has the characteristics that laboratory checks, a large amount of various routines can be done in one course for the treatment of of a patient
It checks, the routine inspection document distribution map that the present embodiment is drawn can be applied in hospital's LIS system, make complicated routine inspection list
According to intuitiveization, visualization, should be readily appreciated that.
Blood disease checks module 103, is used to store blood samples of patients disease and checks document, in the form of list or statistical graph
Retrieval and retrospective analysis are provided.
Wherein, blood disease inspection is also that laboratory checks, these inspections are specific to inpatient with haematological diseases.
Specifically, blood samples of patients disease checks that document includes but is not limited to that Bone Marrow Cell Morphology checks document, cell detachment
Check that document, immunophenotyping check that document, karyotype check that document, FISH (fluorescent in situ) check document and gene screening
Document.
Diagnosis and treatment process module 104 is used to transfer patient basis's module, routine according to corresponding blood disease parting algorithm
It checks that module and blood disease check index of correlation in module, calculates corresponding blood disease parting and the classification of prognostic risk degree；According to
All therapeutic schemes to match and display are transferred in blood disease class parting and the classification of prognostic risk degree from therapeutic scheme library, simultaneously
Remind related attentional item.
Diagnosis and treatment process automatically concentrates the diagnostic message of patient together, unified to show, while calculating the prognostic risk of patient
Degree classification；According to patient's present case and all previous treatment condition, the recommendation opinion of therapeutic scheme is provided.
In the diagnosis and treatment process module, parting is carried out to acute myeloid leukemia using FAB parting algorithm.
Specifically, as follows come the algorithm logic for carrying out parting to acute myeloid leukemia using FAB parting algorithm:
Wherein, M0: acute myelocytic leukemia differentiation type；
M1: acute myelocytic leukemia undifferentiated type；
M2: acute myelocytic leukemia partial differentiation type；
M3: acute promyelocytic leukemia；
M4: acute myelo-monocytic leukemia；
M4Eo: abnormal eosinophil > 5% in marrow；
M5: acute monocytic leukemia is divided into amphitypy according to differentiation degree:
M5a: monoblast type；
M5b: monocyte type；
M6: Di Guglielmo syndrome；
M7: acute megakaryocytic leukemia.
In the diagnosis and treatment process module, WHO acute leukemia is carried out using EGIL immunological hallmark integrating system
Parting.
The process diagnosed using EGIL immunological hallmark integrating system are as follows:
(1)
(2)
(3)
It is white to acute myeloid using acute myeloid leukemia prognostic risk degree hierarchical algorithms in the diagnosis and treatment process module
Blood disease prognostic risk degree is classified.
In specific implementation, using the prognostic risk degree hierarchical table of existing Chinese Medical Association's Patients with Acute Myeloid Leukemia
Prognosis classification is carried out, algorithm steps are described as follows:
The first step retrieves the karyotype accidental data of patient, FISH checks positive data and gene screening number positive
According to；
Second step compares calculating according to upper table, obtains cytogenetics prognosis and molecular biology prognosis；
Third step checks whether there is other prognostic risk degree achievement datas, for example, the white blood cell count(WBC) in blood routine whether
It is excessively high, it obtains with reference to prognosis；
Finally synthesis provides the risk stratification finally calculated.
The diagnosis and treatment process module further include:
Dosage computing module is used for the body surface area according to patient, calculates dosage automatically.
The blood disease intelligence diagnosis and treatment auxiliary system of the present embodiment, by patient basis, routine inspection and blood disease inspection
These information are linked together by patient identity card number, transfer patient basis's mould according to corresponding blood disease parting algorithm
Block, routine inspection module and blood disease check index of correlation in module, calculate corresponding blood disease type and prognostic risk degree point
Grade；All therapeutic schemes to match are transferred from therapeutic scheme library according to blood disease type and the classification of prognostic risk degree and are shown
Show, realizes that similar case out is accurately recommended in personalization, reduce doctor's workload, improve the purpose of its working efficiency.
It should be understood by those skilled in the art that, embodiment of the disclosure can provide as method, system or computer program
Product.Therefore, the shape of hardware embodiment, software implementation or embodiment combining software and hardware aspects can be used in the disclosure
Formula.Moreover, the disclosure, which can be used, can use storage in the computer that one or more wherein includes computer usable program code
The form for the computer program product implemented on medium (including but not limited to magnetic disk storage and optical memory etc.).
The disclosure be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the program can be stored in a computer-readable storage medium
In, the program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic
Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random
AccessMemory, RAM) etc..
Although above-mentioned be described in conjunction with specific embodiment of the attached drawing to the disclosure, model not is protected to the disclosure
The limitation enclosed, those skilled in the art should understand that, on the basis of the technical solution of the disclosure, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within the protection scope of the disclosure.
Claims (10)
1. a kind of blood disease intelligence diagnosis and treatment auxiliary system characterized by comprising
Patient basis's module is used to store admission information, progress note, doctor's advice information, the discharge record, outpatient service of patient
Information and temperature chart；
Routine inspection module is used to store all routine inspection documents, and these documents is classified, each type of normal
Rule check that document is laid out document sequentially in time, and retrieval is provided in the form of list or distribution map；
Blood disease checks module, is used to store blood samples of patients disease and checks document, inspection is provided in the form of list or statistical graph
Rope and retrospective analysis；
Diagnosis and treatment process module is used to transfer patient basis's module, routine inspection mould according to corresponding blood disease parting algorithm
Block and blood disease check index of correlation in module, calculate corresponding blood disease parting and the classification of prognostic risk degree；According to blood disease
All therapeutic schemes to match and display are transferred in parting and the classification of prognostic risk degree from therapeutic scheme library, while reminding correlation
Points for attention.
2. blood disease intelligence diagnosis and treatment auxiliary system as described in claim 1, which is characterized in that in the routine inspection module
In, the ordinate of routine inspection document distribution map is the type of routine inspection；Abscissa is the date, the day since the current course for the treatment of
The previous day of phase, terminated by N days, N is positive integer；The centre routine inspection document that scatterplot is the corresponding date.
3. blood disease intelligence diagnosis and treatment auxiliary system as claimed in claim 2, which is characterized in that in the routine inspection module
In, call Echart mapping program to draw routine inspection document distribution map.
4. blood disease intelligence diagnosis and treatment auxiliary system as claimed in claim 2, which is characterized in that in the routine inspection module
In, during drawing routine inspection document distribution map, according to the quantity of simultaneous similar routine inspection, draw out phase
The circle of big minor radius is answered, and is added on the correspondence date of abscissa；Wherein, the quantity of simultaneous similar routine inspection
More, the radius of circle is bigger.
5. blood disease intelligence diagnosis and treatment auxiliary system as claimed in claim 4, which is characterized in that if the association of some circle is multiple often
Rule check document, when receive check request when, current associated all routine inspection documents of circle are shown with tabular form.
6. blood disease intelligence diagnosis and treatment auxiliary system as claimed in claim 2, which is characterized in that in the routine inspection module
In, during drawing routine inspection document distribution map, different types of routine inspection document is filled to different color circles
Circle.
7. blood disease intelligence diagnosis and treatment auxiliary system as described in claim 1, which is characterized in that in the diagnosis and treatment process module
In, parting is carried out to acute myeloid leukemia using FAB parting algorithm.
8. blood disease intelligence diagnosis and treatment auxiliary system as described in claim 1, which is characterized in that in the diagnosis and treatment process module
In, parting is carried out to WHO acute leukemia using EGIL immunological hallmark integrating system.
9. blood disease intelligence diagnosis and treatment auxiliary system as described in claim 1, which is characterized in that in the diagnosis and treatment process module
In, acute myeloid leukemia prognostic risk degree is classified using acute myeloid leukemia prognostic risk degree hierarchical algorithms.
10. blood disease intelligence diagnosis and treatment auxiliary system as described in claim 1, which is characterized in that the diagnosis and treatment process module is also
Include:
Dosage computing module is used for the body surface area according to patient, calculates dosage automatically.
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