CN106650229A - Kidney cancer case digitized information management system - Google Patents
Kidney cancer case digitized information management system Download PDFInfo
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- CN106650229A CN106650229A CN201610983865.3A CN201610983865A CN106650229A CN 106650229 A CN106650229 A CN 106650229A CN 201610983865 A CN201610983865 A CN 201610983865A CN 106650229 A CN106650229 A CN 106650229A
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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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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Abstract
The invention belongs to a case register network management system, and particularly relates to a kidney cancer case digitized information management system. The system comprises a kidney cancer data management platform, a sample library, an image data platform and a tumor pathology result data platform. By means of the kidney cancer case digitized information management system, management of clinical case data can be conducted, a doctor can track and monitor over the illness changes of the kidney cancer of a patient, and the kidney cancer clinical scientific research is carried out assisted by the system, and the system meets the requirements of existing evidence-based medicine.
Description
Technical field
The invention belongs to Case register NMS, more particularly to a kind of kidney case digitlization information management system
System.
Background technology
Progress, the innovation and development of medical science and technology means of society, has promoted the continuous transformation of medical model.Traditional experience
Medical science evidence-based medicine EBM, accurate medical science by now, the Supervise of collection, patient to clinical data, the development of medical research
Bring new opportunities and challenges.
Kidney is one of urinary system common cancer.For early stage or local advanced kidney, surgery excision is still
Current maximally effective treatment method, but there is tumor recurrence or transfer in the postoperative patient for still having a 20-30%, and advanced renal cell cancer pair
Radiotherapy chemotherapy is insensitive, and the curative effect of immunization therapy is also very limited, and the targeted therapy for rising in recent years extends the existence of patient
Phase, but often there is progression of disease after medication 6-15 month in patient.Therefore, the Follow-up After of patients with renal cell carcinoma and medication is monitored particularly
It is important.To adapt to collection, arrangement, storage and the analysis of larger scale clinical data, the management of specification clinical data, is necessary prediction
Journal of Sex Research lays the foundation, and we dock patient in hospital information management system, establishes kidney whole process control database, it is intended to nearly
The fragmentation management of the patients with renal cell carcinoma that Nian Lai our hospital accepts for medical treatment is changed into modularization whole process control, integrates patient population and clinic
Information, preferably serves clinic, teaching and scientific research work.
The content of the invention
It is an object of the invention to overcome the deficiencies in the prior art, there is provided a kind of kidney case digitlization information management system
System, for the management of clinical case data, the change of illness state of doctor's tracking and monitoring patient's kidney and auxiliary kidney clinic section
Development is ground, the requirement of present evidence-based medicine EBM is adapted to.
The purpose of the present invention is achieved through the following technical solutions：
It is an object of the invention to provide kidney case digitlization information management system, tracks and monitors patient for doctor
The change of illness state of kidney, including：Kidney data management platform, sample storehouse, image data platform and cancer pathology result data
Platform；
The kidney data management platform, including：
Case-data module, for typing and stores patient basis and clinical examination data；
Image data module, for docking the image data platform and consulting the corresponding iconography money of every patient is transferred
Material；
Pathological analysis module, for docking the cancer pathology result data platform patient's pathological analysis information is obtained；
Follow-up module, for typing and stores patient's prognosis situation, aftertreatment, arranges check and inspection result, and refers to
Guiding doctor gives birth to real-time update diagnosis and treatment scheme；
Data analysis module, for screening the case-data module, pathological analysis module, follow-up module in field letter
Breath, is analyzed statistics to the patient's condition of patients with renal cell carcinoma, and formed at least one classification of diseases model and with the classification of diseases mould
The corresponding therapeutic scheme of type；
Pre- diagnosis and treatment module, for according to the case-data of every patient, obtaining corresponding from the data analysis module
Classification of diseases model and corresponding therapeutic scheme are referred to as pre- diagnosis for successive treatment；
The sample storehouse, for depositing the tissue specimen related to kidney, a pair of every part of tissue specimen and patient identity 1
Should, and by medical history information module described in the case sample information typing.
Further, the case-data module include patient's essential information (No. ID, name, sex, age etc.), previously
History (kidney treatment history, Family history of cancer, Smoking And Drinking history etc.), go to a doctor for the first time state (clinical symptoms, tumor number, size, portion
Position, physical ability situation etc.), blood test rating (routine blood test, hepatic and renal function, electrolyte etc.), diagnosis records, therapeutic scheme, operation side
Formula etc..
Further, the image data includes that ultrasonoscopy, CT, PET-CT, nuclear magnetic resonance, bone total body opacification, kidney are little
Ball filtration rate GFR etc..
Further, the data analysis module includes AJCC kidney TNM stages in Diagnosis of Renal Cell Carcinoma treatment guidelines, swells
The scoring of knurl complexity RENAL, the hazards scoring for affecting metastatic renal cell carcinoma prognosis and physical state standards of grading.
Further, the classification of diseases model in the data analysis module is according to patient age, sex, goes to a doctor for the first time
State and pathological analysis information are analyzed statistics, and form at least one classification of diseases model, and according to the classification of diseases mould
Type exports corresponding therapeutic scheme.
Further, the tissue specimen related to kidney include tumor tissues, cancer beside organism, normal kidney tissue,
Perioperatively blood preparation (including serum, blood plasma, haemocyte), perioperatively urine specimen.
Further, the pathological analysis information includes frozen section result, cancer pathology parting, Fuhrman point in art
Level, ImmunohistochemistryResults Results etc..
Compared with prior art, the invention has the beneficial effects as follows：
1) kidney case of the invention digitlization information management system, the specification clinical data management of patients with renal cell carcinoma, if
The special Data acquisition, software of meter patients with renal cell carcinoma, realizes the slitless connection with Hospital Electronic Medical Record system, it is ensured that clinical data
Integrality；
2) treatment of kidney is related to a set of comprehensive therapy system, including operation, radiotherapy, chemotherapy, immunization therapy, targeting
Treatment etc., therefore the Supervise regular follow-up patient for passing through patients with renal cell carcinoma, supervise patient to check, and disease progression is understood in time,
Adjustment therapeutic scheme seems particularly significant, and this is also beneficial to improve the prognosis of patients with renal cell carcinoma；
3) by creating kidney Single diseases tissue specimen database, adequately protect and rationally using renal cancer tumor specimen resource, be
Clinical and scientific researcher provides appropriate number of tumor specimen, promotes the research of kidney；
4) comprehensive collection management, the foundation of kidney sample storehouse based on clinical data, carries out kidney relevant rudimentary and clinic
Research, further clear and definite kidney transfer and targeted therapy resistance mechanism, improve kidney operation method, expand kidney treatment means
Deng, can be finally the therapeutic scheme of each patient's formulation individuation, benefit patients with renal cell carcinoma；
5) kidney case of the invention digitizes information Management System classification of diseases module and pre- diagnostic module, when
When diagnosis and treatment scheme is given for special case, no longer simple depends on the clinical experience of oneself to doctor, while may be referred to
The statistics of database, that is, monocentric evidence-based medical, by the data analysis of science, and combine clinic Jing
Test, give patient most suitable therapeutic scheme.
Description of the drawings
Fig. 1 is the kidney case management and digital information system of the present invention.
Fig. 2 be the present invention kidney case management and digital information system in follow-up module picture view.
Specific embodiment
With reference to specific embodiment, the present invention is expanded on further.It should be understood that these embodiments are merely to illustrate the present invention
Rather than restriction the scope of the present invention.
As shown in figure 1, the invention provides a kind of kidney case digitlization information management system, tracks for doctor and supervises
The change of illness state of disease-control people's kidney, including：Kidney data management platform 1, sample storehouse 2, image data platform 4 and cancer pathology
Result data platform 3.
Wherein, kidney data management platform 1, including：
Case-data module 11, for typing and stores patient basis and clinical examination data.Wherein, medical history information
Module include patient's essential information (No. ID, name, sex, the age), past medical history (kidney treatment history, Family history of cancer, smoking drink
Wine history etc.), for the first time go to a doctor state (clinical symptoms, tumor number, size, position, physical ability situation etc.), (blood is normal for blood test rating
Rule, hepatic and renal function, electrolyte etc.), diagnosis records, therapeutic scheme, modus operandi etc..
Image data module 14, for docking image data platform 4 and consulting the corresponding imaging data of every patient is transferred.
Wherein, image data includes ultrasonoscopy, CT, PET-CT, nuclear magnetic resonance, bone total body opacification, glomerular filtration rate(GFR GFR etc..
Pathological analysis module 12, for docking cancer pathology result data platform 3 patient's pathological analysis information is obtained.Its
In, pathological analysis information includes frozen section result, cancer pathology parting, Fuhrman classifications, ImmunohistochemistryResults Results etc. in art.
Follow-up module 13, for typing and store patient's prognosis situation, aftertreatment, arrange check and inspection result, and
Instruct doctor's real-time update diagnosis and treatment scheme.As shown in Fig. 2 follow-up module 13 includes the ordinary circumstance of patient：Zubord-
ECOG-WHO PS score and Karnofsky scorings, for assessing the general physical condition of patient；
Renal Function After recovery situation is recorded：Including indexs such as serum creatinine and GFR；And, feelings are shifted and recurred after treatment
Condition, includes multiple inspection assessment information, and the post-operative recovery situation of patient is understood in time, and according to recovery progress, in time adjustment
Aftertreatment scheme.
Data analysis module 16, for screening case-data module 11, pathological analysis module 12, follow-up module 13 in word
Segment information, is analyzed statistics to the patient's condition of patients with renal cell carcinoma, and formed at least one classification of diseases model and with classification of diseases mould
The corresponding therapeutic scheme of type.
Data analysis module 16 is according to AJCC kidneys TNM stage, tumour complexity in Diagnosis of Renal Cell Carcinoma treatment guidelines
RENAL scorings, the hazards scoring for affecting metastatic renal cell carcinoma prognosis and physical state standards of grading separately design automatically by stages,
Scoring function, is described as follows：
Note：1. UISS risk scores are for limitation or Local advancement kidney.
2. TNM stage adopts AJCC standards in 1997【With the 7th edition TNM stage system of AJCC2010 difference：7th
Version N is divided into N0 (without regional lymph node metastasis) and N1 (single regional lymph node metastasis) by stages, eliminates N2；T1, T2, T4 are by stages
It is identical；T3 is by stages otherwise varied：T3 in 1997 be defined as by stages tumour invade big vein, adrenal gland or perirenal tissue but not less than
Gerota manadesmas】
3. histological grade adopts Fuhrman grade scales
4. physical state assessment is scored using ECOG-PS
MSKCC risk stratifications：I level II level III level IV levels
Explanation：Advanced renal cell cancer MSKCC scores
Low danger：With 0 following factor
Middle danger：With 1 following factor
It is high-risk：With >=2 following factors
1 hazards lactate dehydrogenase levels>1.5 times of the normal level upper limit
2 hemoglobins<Normal level lower limit corrects calcium level>10mg/dL(2.5mmol/L)
3 initial diagnosis to the time interval for starting whole body therapeutic is less than 1 year
4 Karnofsky performance status score≤70
5 transfer organ number >=2
R.E.N.A.L. system statistics
Tumour maximum diameter (R)/cm：1 point of 2 points of (≤4) of (>4 and<7) 3 points of (>=7)
Evagination/interior raw ratio (E)：1 point of 2 points of (>=50%) of (<50%) 3 points of (raw in completely)
Tumour (N)/mm with a distance from aggregation system or sinus renalis：1 point of 2 points of (>=7) of (>4 and<7) 3 points of (≤4)
Veutro/dorsal part (A)：□a □p □x
Along kidney longitudinal axis positions (L)：(tumour is passed through 2 points of 1 point of (completely below upper polar curve is with up or down polar curve)
Polar curve) (tumour ＞ 50% is through polar curve (a) or tumour through kidney center line (b) or tumour completely polar curve (c) for 3 points of
R.E.N.A.L kidneys measure assessment result：Danger (7-9 point) high-risk (10-12 point) in the low danger of (4-6 point)
Classification of diseases model in data analysis module 16 is according to patient age, for the first time sex, medical state and pathology
Analysis information is analyzed statistics, and forms at least one classification of diseases model, and corresponding according to the classification of diseases model output
Therapeutic scheme.
Pre- diagnosis and treatment module 15, for according to the case-data of every patient, obtaining corresponding from data analysis module 16
Classification of diseases model and corresponding therapeutic scheme are referred to as pre- diagnosis for successive treatment.
Sample storehouse 2, for depositing the tissue specimen related to kidney, every part of tissue samples are corresponded with patient identity,
And by case sample information typing medical history information module 11.
Wherein, related to kidney case sample includes tumor tissues, cancer beside organism, normal kidney tissue, perioperatively
Blood preparation (including serum, blood plasma, haemocyte), perioperatively urine specimen.
Below the preferred embodiment to the invention is illustrated, but the invention is not limited to implement
Example, those of ordinary skill in the art can also make the modification of a variety of equivalents on the premise of without prejudice to the invention spirit
Or replace, the modification of these equivalents or replacement are all contained in the application claim limited range.
Claims (7)
1. a kind of kidney case digitizes information management system, and the change of illness state of patient's kidney is tracked and monitored for doctor, its
It is characterised by, including：Kidney data management platform, sample storehouse, image data platform and cancer pathology result data platform；
The kidney data management platform, including：
Case-data module, for typing and stores patient basis and clinical examination data；
Image data module, for docking the image data platform and consulting the corresponding imaging data of every patient is transferred；
Pathological analysis module, for docking the cancer pathology result data platform patient's pathological analysis information is obtained；
Follow-up module, for typing and stores patient's prognosis situation, aftertreatment and inspection result, and guides doctor's real-time update
Diagnosis and treatment scheme；
Data analysis module, for screening the case-data module, pathological analysis module, follow-up module in field information,
Be analyzed statistics to the patient's condition of patients with renal cell carcinoma, and formed at least one classification of diseases model and with the classification of diseases model pair
The therapeutic scheme answered；
Pre- diagnosis and treatment module, for according to the case-data of every patient, corresponding disease being obtained from the data analysis module
Disaggregated model and corresponding therapeutic scheme are referred to as pre- diagnosis for successive treatment；
The sample storehouse, for depositing the tissue specimen related to kidney, every part of tissue specimen is corresponded with patient identity, and
By medical history information module described in the tissue sample info typing.
2. kidney case according to claim 1 digitizes information management system, it is characterised in that：The case-data mould
Block includes patient's essential information, past medical history, go to a doctor for the first time state, blood test rating, diagnosis records, therapeutic scheme, modus operandi.
3. kidney case according to claim 1 digitizes information management system, it is characterised in that：The image data bag
Include ultrasonoscopy, CT, PET-CT, nuclear magnetic resonance, bone total body opacification, glomerular filtration rate(GFR GFR.
4. kidney case according to claim 1 digitizes information management system, it is characterised in that：The data analysis mould
Block includes AJCC kidney TNM stages in Diagnosis of Renal Cell Carcinoma treatment guidelines, the scoring of tumour complexity RENAL, affects metastatic
The hazards scoring of kidney prognosis and physical state standards of grading.
5. kidney case according to claim 1 digitizes information management system, it is characterised in that：The data analysis mould
Classification of diseases model in block is to be analyzed statistics, and shape according to patient age, sex, state of going to a doctor for the first time and pathological examination
Into at least one classification of diseases model, and corresponding therapeutic scheme is exported according to the classification of diseases model.
6. kidney case according to claim 1 digitizes information management system, it is characterised in that：It is described related to kidney
Tissue specimen include tumor tissues, cancer beside organism, normal kidney tissue, perioperatively blood preparation, perioperatively urine mark
This.
7. kidney case according to claim 1 digitizes information management system, it is characterised in that：The pathological examination bag
Include frozen section result in art, cancer pathology parting, Fuhrman classifications, ImmunohistochemistryResults Results.
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Cited By (11)
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|---|---|---|---|---|
| CN108206057A (en) * | 2018-03-14 | 2018-06-26 | 苏州大学 | A kind of prostate cancer diagnosis and treatment data platform |
| CN108492883A (en) * | 2018-03-21 | 2018-09-04 | 福州宜星大数据产业投资有限公司 | A kind of BCLC method for establishing model and terminal by stages |
| CN108932973A (en) * | 2018-07-25 | 2018-12-04 | 南京鼓楼医院 | A kind of kidney case digitlization information management system and management method, terminal |
| CN109524107A (en) * | 2018-11-09 | 2019-03-26 | 赵壮志 | A kind of tumour examines information processing system and method in advance |
| CN109658998A (en) * | 2019-01-02 | 2019-04-19 | 中国中医科学院西苑医院 | A kind of TCM on tumor registration platform and method |
| CN110148471A (en) * | 2019-03-21 | 2019-08-20 | 中国人民解放军总医院第五医学中心 | Liver and gallbladder tumor patient survival rate prediction data collection system and model building method |
| CN110189804A (en) * | 2019-05-30 | 2019-08-30 | 浙江中医药大学附属第二医院(浙江省新华医院) | A kind of acquisition of cardiovascular information and processing system and method |
| CN110811831A (en) * | 2019-05-27 | 2020-02-21 | 苏州六莲科技有限公司 | Accurate automatic evaluation method and device for kidney surgery |
| CN110827936A (en) * | 2019-09-18 | 2020-02-21 | 袁勇 | Cross-platform distributed rare disease management system |
| CN111681737A (en) * | 2020-05-07 | 2020-09-18 | 陈�峰 | Structured report system and method for constructing liver cancer image database |
| CN112562810A (en) * | 2020-12-15 | 2021-03-26 | 张丽 | Plasma cell tumor disease management recording system and recording method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108206057A (en) * | 2018-03-14 | 2018-06-26 | 苏州大学 | A kind of prostate cancer diagnosis and treatment data platform |
| CN108492883B (en) * | 2018-03-21 | 2022-03-04 | 福州宜星大数据产业投资有限公司 | BCLC (binary-coded decimal and liquid Crystal control) staging model establishing method and terminal |
| CN108492883A (en) * | 2018-03-21 | 2018-09-04 | 福州宜星大数据产业投资有限公司 | A kind of BCLC method for establishing model and terminal by stages |
| CN108932973A (en) * | 2018-07-25 | 2018-12-04 | 南京鼓楼医院 | A kind of kidney case digitlization information management system and management method, terminal |
| CN109524107A (en) * | 2018-11-09 | 2019-03-26 | 赵壮志 | A kind of tumour examines information processing system and method in advance |
| CN109658998A (en) * | 2019-01-02 | 2019-04-19 | 中国中医科学院西苑医院 | A kind of TCM on tumor registration platform and method |
| CN110148471A (en) * | 2019-03-21 | 2019-08-20 | 中国人民解放军总医院第五医学中心 | Liver and gallbladder tumor patient survival rate prediction data collection system and model building method |
| CN110148471B (en) * | 2019-03-21 | 2023-01-13 | 中国人民解放军总医院第五医学中心 | Survival rate prediction data collection system for hepatobiliary tumor patients and model construction method |
| CN110811831A (en) * | 2019-05-27 | 2020-02-21 | 苏州六莲科技有限公司 | Accurate automatic evaluation method and device for kidney surgery |
| CN110189804A (en) * | 2019-05-30 | 2019-08-30 | 浙江中医药大学附属第二医院(浙江省新华医院) | A kind of acquisition of cardiovascular information and processing system and method |
| CN110827936A (en) * | 2019-09-18 | 2020-02-21 | 袁勇 | Cross-platform distributed rare disease management system |
| CN111681737A (en) * | 2020-05-07 | 2020-09-18 | 陈�峰 | Structured report system and method for constructing liver cancer image database |
| CN111681737B (en) * | 2020-05-07 | 2023-12-19 | 陈�峰 | Structured report system and method for constructing liver cancer image database |
| CN112562810A (en) * | 2020-12-15 | 2021-03-26 | 张丽 | Plasma cell tumor disease management recording system and recording method |
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