CN108154918A - A kind of diabetic's assessment and management system based on big data analysis - Google Patents
A kind of diabetic's assessment and management system based on big data analysis Download PDFInfo
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- CN108154918A CN108154918A CN201711475871.9A CN201711475871A CN108154918A CN 108154918 A CN108154918 A CN 108154918A CN 201711475871 A CN201711475871 A CN 201711475871A CN 108154918 A CN108154918 A CN 108154918A
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- diabetic
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Abstract
The invention discloses a kind of diabetic's assessment based on big data analysis and management systems, are somebody's turn to do diabetic's assessment system based on big data analysis and include：Understand patient lifestyle, the clinical manifestation for assessing diabetes, understand patient lab's inspection result, assessment patient's knowledge degree of understanding.The beneficial effects of the invention are as follows：It can reflect real time blood sugar level, assessment is taken exercise before the meal with postprandial hyperglycemia and life event, the influence of dining, movement and emotional stress etc. and hypoglycemic medicine to blood glucose, evaluate treating diabetes effect, hypoglycemia is found in time, help to formulate individuation lifestyle modification and optimization pharmaceutical intervention scheme for patient, improve validity and the safety for the treatment of；On the other hand, diabetic can be helped to be best understood from the morbid state of oneself, is more effectively managed to leading ward mate.
Description
Technical field
The present invention relates to a kind of diabetic assessment and management system, specifically a kind of glycosurias based on big data analysis
Patient assesses and management system, belongs to diabetic's administrative skill field.
Background technology
Diabetes be it is a kind of caused by defect of insulin secretion or insulin action obstacle characterized by hyperglycemia
Metabolic disease.Persistent high blood sugar and long-term metabolic disorder etc. can cause body tissue's organ, particularly eye, kidney, angiocarpy and
The damage of nervous system and its dysfunction and failure.Severe patient can cause dehydration, electrolyte disturbance and acid-base imbalance etc.
Acute complications ketoacidosis and Hyperosmotic coma.
Existing diabetic's processing system is simultaneously not perfect, this allows for diabetic's treatment effect and is not achieved most
Good, the equity for diabetic brings huge puzzlement.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of diabetic based on big data analysis and assesses system
System, diabetic's assessment system based on big data analysis include：Understand patient lifestyle, assess facing for diabetes
Bed performance understands patient lab's inspection result, assessment patient's knowledge degree of understanding.
Preferably, understanding patient lifestyle's method is：Introduce security protection means, by risk mitigation to be subjected to
Level.
Preferably, the clinical manifestation method of described assessment diabetes is：Security protection means are introduced in process units,
It is in order to by risk mitigation to the acceptable level of enterprise that it, which is acted on,.
Preferably, understanding patient lab's inspection result method is：After defining risk class, rational peace is used
Full evaluation method fully, thoroughly identifies risk progress that may be present in device, obtains each risk in device and original occurs
Because and caused by duality relation between consequence, could be to device only on the basis of all possible potential risk is obtained
Carry out abundant, completely protective layer design and check.
Preferably, assessment patient's knowledge degree of understanding method is：For each identified in second step
Possible risk considers that current existing safeguard measure to the reduction degree of risk, checks whether it meets in risk Metrics
The tolerance interval of definition if cannot meet the requirements, needs to introduce new safeguard procedures, and to introducing new safeguard procedures
Risk afterwards reduces degree and re-starts calculating.
Preferably, diabetic's management system based on big data analysis is：It is formulated by conventional treatments
Individualized program carries out the standardized administration in indication range to patient.
The beneficial effects of the invention are as follows：Can reflect real time blood sugar level, assessment before the meal with postprandial hyperglycemia and life thing
The influence of part exercise, dining, movement and emotional stress etc. and hypoglycemic medicine to blood glucose, evaluates treating diabetes effect, in time hair
Existing hypoglycemia helps to formulate individuation lifestyle modification and optimization pharmaceutical intervention scheme for patient, improves the effective for the treatment of
Property and safety；On the other hand, diabetic can be helped to be best understood from the morbid state of oneself, it is more effective to leading ward mate
It is managed.
Specific embodiment
The technical solution in the embodiment of the present invention will be clearly and completely described below.Obviously, described implementation
Example is only part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiments obtained without making creative work belong to the model that the present invention protects
It encloses.
A kind of diabetic's assessment system based on big data analysis, diabetic's assessment based on big data analysis
System includes：Understand patient lifestyle, the clinical manifestation for assessing diabetes, understand patient lab's inspection result, assessment trouble
Person's knowledge degree of understanding.
Preferably, understanding patient lifestyle's method is：Security protection means are introduced, by risk mitigation to acceptable water
It is flat.
Preferably, the clinical manifestation method of assessment diabetes is：Security protection means are introduced in process units, are made
With being in order to by risk mitigation to the acceptable level of enterprise.
Preferably, understanding patient lab's inspection result method is：After defining risk class, commented using rational safety
Valency method carries out risk that may be present in device fully, thoroughly to identify, obtain in device each risk occurrence cause and
Duality relation between caused consequence only on the basis of all possible potential risk is obtained, could carry out device
Fully, completely protective layer design and check.
Preferably, assessment patient's knowledge degree of understanding method is：It may for each identified in second step
Risk, consider that current existing safeguard measure to the reduction degree of risk, checks whether it meets defined in risk Metrics
Tolerance interval, if cannot meet the requirements, need to introduce new safeguard procedures, and to introducing new safeguard procedures after
Risk reduces degree and re-starts calculating.
Preferably, diabetic's management system based on big data analysis is：Individual is formulated by conventional treatments
Change scheme carries out the standardized administration in indication range to patient.
Better embodiment of the embodiment provided above for the present invention only is used for facilitating illustrating the present invention, not to this hair
The limitation of bright work in any form, any those of ordinary skill in the art, if putting forward skill not departing from the present invention
In the range of art feature, using the equivalent embodiment for locally changing or modifying made by disclosed technology contents, and
Without departing from the technical feature content of the present invention, in the range of still falling within the technology of the present invention feature.
Claims (6)
1. a kind of diabetic's assessment system based on big data analysis, which is characterized in that described based on big data analysis
Diabetic's assessment system includes：Understand patient lifestyle, the clinical manifestation for assessing diabetes, understand patient lab's inspection
Come to an end fruit, assessment patient's knowledge degree of understanding.
A kind of 2. diabetic's assessment system based on big data analysis according to claim 1, which is characterized in that institute
Stating understanding patient lifestyle's method is：Security protection means are introduced, by risk mitigation to acceptable level.
A kind of 3. diabetic's assessment system based on big data analysis according to claim 1, which is characterized in that institute
Stated assessment diabetes clinical manifestation method be：Security protection means are introduced in process units, effect is in order to by wind
Danger reduces to the acceptable level of enterprise.
A kind of 4. diabetic's assessment system based on big data analysis according to claim 1, which is characterized in that institute
Stating understanding patient lab's inspection result method is：After defining risk class, using rational safe evaluation method to device
In risk that may be present carry out fully, thoroughly identify, obtain in device each risk occurrence cause and caused consequence it
Between duality relation, only on the basis of all possible potential risk is obtained, device could be carried out fully, completely to prevent
Sheath is designed and is checked.
A kind of 5. diabetic's assessment system based on big data analysis according to claim 1, which is characterized in that institute
Patient's knowledge degree of understanding method is estimated in commentary：For each the possible risk identified in second step, consider to work as
Preceding existing safeguard measure checks whether it meets tolerance interval defined in risk Metrics to the reduction degree of risk,
If cannot meet the requirements, need to introduce new safeguard procedures, and the risk after the safeguard procedures new to introducing reduces degree
Re-start calculating.
6. a kind of diabetic based on big data analysis manages system, which is characterized in that described based on big data analysis
Diabetic manages system：Individualized program is formulated by conventional treatments, the rule in indication range are carried out to patient
Model management.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711475871.9A CN108154918A (en) | 2017-12-29 | 2017-12-29 | A kind of diabetic's assessment and management system based on big data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711475871.9A CN108154918A (en) | 2017-12-29 | 2017-12-29 | A kind of diabetic's assessment and management system based on big data analysis |
Publications (1)
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| CN108154918A true CN108154918A (en) | 2018-06-12 |
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| CN201711475871.9A Pending CN108154918A (en) | 2017-12-29 | 2017-12-29 | A kind of diabetic's assessment and management system based on big data analysis |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080126124A1 (en) * | 2006-11-28 | 2008-05-29 | Schechter Alan M | Quantitative assessment, evaluation and triage of the health status of an individual |
| CN105160199A (en) * | 2015-09-30 | 2015-12-16 | 刘毅 | Continuous blood sugar monitoring based method for processing and displaying diabetes management information with intervention information |
| CN106446595A (en) * | 2016-12-16 | 2017-02-22 | 上海尚戴科技发展有限公司 | Gestational diabetes mellitus risk and degree prediction system based on machine learning |
| CN107358047A (en) * | 2017-07-13 | 2017-11-17 | 刘峰 | Diabetic assesses and management system |
-
2017
- 2017-12-29 CN CN201711475871.9A patent/CN108154918A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080126124A1 (en) * | 2006-11-28 | 2008-05-29 | Schechter Alan M | Quantitative assessment, evaluation and triage of the health status of an individual |
| CN105160199A (en) * | 2015-09-30 | 2015-12-16 | 刘毅 | Continuous blood sugar monitoring based method for processing and displaying diabetes management information with intervention information |
| CN106446595A (en) * | 2016-12-16 | 2017-02-22 | 上海尚戴科技发展有限公司 | Gestational diabetes mellitus risk and degree prediction system based on machine learning |
| CN107358047A (en) * | 2017-07-13 | 2017-11-17 | 刘峰 | Diabetic assesses and management system |
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Application publication date: 20180612 |
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