CN109887575A - A kind of blood lipid management method and management system - Google Patents
A kind of blood lipid management method and management system Download PDFInfo
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- CN109887575A CN109887575A CN201910168012.8A CN201910168012A CN109887575A CN 109887575 A CN109887575 A CN 109887575A CN 201910168012 A CN201910168012 A CN 201910168012A CN 109887575 A CN109887575 A CN 109887575A
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Abstract
The invention discloses a kind of blood lipid management method and management systems, relate generally to intelligent health platform technology field.Including the patient module used for patient, patient module includes: first acquisition unit, is configured to obtain the identity information of patient, blood lipid information, assessment information；First communication unit is configured to establish data communication with server；First execution unit is configured to generate patient end account associated with identity information；First assessment unit is configured to carry out blood lipid information anomaly assessment, and anomaly assessment includes comparing blood lipid numerical value and standard figures, while comparing with previous blood lipid numerical value；Second assessment unit is configured to according to assessment information and carries out ASCVD risk assessment.The present invention carries out analysis comparison to the blood lipid situation of patient, and the risk that assessment ASCVD occurs automatically, and patient's overall monitor is allowed to guide the management to blood lipid health with the probability of the dynamic changes and severe complication that understand blood lipid, enhance the prevention and control of disease.
Description
Technical field
The present invention relates to intelligent health platform technology field, specifically a kind of blood lipid management method and management system.
Background technique
With the development and progress of society, and derived from the correlation of a variety of diseases and blood lipid, management, high blood for blood lipid
The prevention and control of rouge disease and the prevention and control of related complication, because of the continuous expansion of its covering surface, the society for becoming more and more common is asked
Topic.
Summary of the invention
The purpose of the present invention is to provide a kind of blood lipid management method and management systems, it carries out the blood lipid situation of patient
Analysis comparison, and automatically assessment ASCVD occur risk, allow patient's overall monitor and understand blood lipid dynamic changes,
And the probability of severe complication, the management to blood lipid health is guided, the prevention and control of disease are enhanced.
The present invention to achieve the above object, is achieved through the following technical solutions:
A kind of blood lipid management method, comprising:
The identity information of patient is obtained, patient end account associated with identity information is generated；
The blood lipid information of patient is obtained, and anomaly assessment is carried out to blood lipid information, the anomaly assessment includes by blood lipid number
Value is compared with standard figures, while being compared with previous blood lipid numerical value, and radar map is generated；
The assessment information for obtaining patient carries out ASCVD risk assessment and health evaluating according to assessment information；
Diet, movement, life style, psychology are assessed according to identity information, blood lipid information, assessment information, generated
Line chart.
Further, the assessment information includes basic data and self test data,
The basic data include age of patient, medical history, height, weight, medicining condition, HR values, blood pressure values,
Blood lipid numerical value；
The self test data includes family's medical history, living habit, the eating habit, activity habit, psychologic status of patient.
Further, further includes:
According to the blood lipid information of acquisition and assessment information, an example analysis is generated, a example analysis includes push and blood lipid
Information and the corresponding professional knowledge of assessment information and case, the professional knowledge include hyperlipidemia defensive measure, complication, simultaneously
Disease defensive measure, hyperlipidemia diet, hyperlipidemia movement, hyperlipidemia knowledge on drug abuse are sent out, the case is hyperlipidemia case.
Further, further includes:
The dietary data of patient is obtained, the dietary data includes the intake time of breakfast, lunch and dinner and snack, intake content, intake
Amount, according to calculate and record fat, carbon water, protein, cellulose, vitamin, sodium salt, tobacco and wine intake, formed record and
Abnormity prompt, and generate line chart；
And/or
The administration data for obtaining patient generates medication according to administration data and reminds；
And/or
The exercise data for obtaining patient generates consumed calorie according to exercise data, and refers to the physiology of movement front and back
The associated line chart for generating " monthly times of exercise ", " movement average time every time ", " movement consumption calorie every time " of mark.
Further, further includes:
The identity information of medical staff is obtained, doctor's account associated with doctor's identity information, doctor's account are generated
Family can receive online service request, and establish service with the patient end account for sending service request and be associated with, and import associated suffer from
The identity information of person end account, blood lipid information, assessment information, establish the communication with associated patient end account.
As another aspect of the present invention, a kind of blood lipid management system is configured at terminal, including the trouble used for patient
Person's module, the patient module include:
First acquisition unit is configured to obtain the identity information of patient, blood lipid information, assessment information；
First communication unit is configured to establish data communication with server, sends to server and is obtained by acquiring unit
The information taken, and receive the information of server return；
First execution unit is configured to generate patient end account associated with identity information；
First assessment unit is configured to carry out anomaly assessment to blood lipid information, and the anomaly assessment includes by blood lipid number
Value is compared with standard figures, while being compared with previous blood lipid numerical value；
Second assessment unit is configured to carry out according to assessment information and according to " Blood Lipid Abnormality in Chinese Adults guideline of prevention and treatment "
ASCVD risk assessment；
Third assessment unit is configured to according to identity information, blood lipid information, assessment information to diet, movement, life side
Formula, psychology are assessed, and line chart is generated.
Further, the patient module further includes monitoring unit, is configured to the dietary data to patient, medication number
Tracking feedback is carried out according to, exercise data, the tracking feedback includes:
The intake time of breakfast, lunch and dinner and snack, intake content, intake, according to calculate and record fat, carbon water, protein,
The intake of cellulose, vitamin, sodium salt, tobacco and wine forms record and abnormity prompt, generates line chart；
And/or
The administration data for obtaining patient generates medication according to administration data and reminds；
And/or
The exercise data for obtaining patient generates consumed calorie according to exercise data, and refers to the physiology of movement front and back
Mark is associated, generates the line chart of " monthly times of exercise ", " movement average time every time ", " movement consumption calorie every time ".
Further, the patient module further includes analytical unit, is configured to acquired identity information, blood lipid
Information and assessment information carry out an example analysis, and a example analysis includes:
It is to distinguish to defend knowledge to carry out corresponding push hyperlipidemia with age, gender；
And/or
The inquiry of the performance symptom and defensive measure of related complication is provided；
And/or
Recommend diet, movement, psychology and the life style of defence hyperlipidemia；
And/or
Push corresponding medical record case.
It further, further include the medical care module operated for health care workers, the medical care module includes:
Second acquisition unit is configured to obtain the identity information of medical staff；
Second communication unit is configured to establish data communication with server；
Second execution unit is configured to generate doctor's account associated with identity information；
Service unit is configured to receive the online service request of patient's account, and the patient end with transmission service request
Account establishes service association, and the service association includes taking with subscription services, Online reference service, online diagnosis and treatment under offer line
Business.
Further, further include background module, be configured to that patient module and medical care module are managed and are operated.
The prior art is compared, the beneficial effects of the present invention are:
The present invention can carry out analysis pair to the blood lipid situation of patient towards patient, by obtaining the relevant information of patient
Than, and automatically assessment ASCVD occur risk, allow patient's overall monitor and understand blood lipid dynamic changes, Yi Jiyan
The probability of weight complication, guides the management to blood lipid health, enhances the prevention and control of disease.
Specific embodiment
Present invention will be further explained below with reference to specific examples.It should be understood that these embodiments are merely to illustrate the present invention
Rather than it limits the scope of the invention.In addition, it should also be understood that, after reading the content taught by the present invention, those skilled in the art
Member can make various changes or modifications the present invention, and such equivalent forms equally fall within range defined herein.
Embodiment 1:
A kind of blood lipid management system is configured at terminal (such as mobile phone, host etc.), may be implemented.Including being used for patient
Patient module, for the medical care module that medical staff uses, and the background module for back-stage management.
Wherein, background moduleIt is mainly used for doctors and nurses, system manager and pipe is carried out to the information of system, patient, medical care
Reason.Unitized management is carried out to the data of blood lipid health control, the exchange of data and the management of index is carried out, reaches visualization
Effect.System manager has highest permission, and all module and distribution permission can be used.Pass through browser login service system
The login interface of system enters service platform (see Fig. 1) after inputting username and password, carries out health to patient according to service procedure
Management carries out maintenance of information to medical care.
Wherein, patient module includes:
First acquisition unit is configured to provide information input interface to applicable side, by filling in, selecting and (block from surveying),
The diversified forms such as intelligent wearable device, guidance patient improve identity information, blood lipid information, assessment information；
Wherein, basic information include name, gender, the date of birth, height, weight, schooling, home address, occupation,
Contact method, marital status, children's situation, medical insurance, Living Style etc..
Blood lipid information includes: total cholesterol, triacylglycerol, low density lipoprotein cholesterol, high-density lipoprotein cholesterol,
And the testing time.
Assessment information includes by way of from survey card, assessment tool, to the age of patient, medical history, height, weight, use
Medicine situation, HR values, blood pressure values, blood lipid numerical value, family's medical history, living habit, eating habit, activity habit, psychological shape
Condition is collected.
First communication unit is configured to establish wireless data communication with server, sends to server single by obtaining
The information that member obtains, and receive the information of server return；
First execution unit is configured to generate patient end account associated with identity information；
First assessment unit is configured to carry out anomaly assessment to blood lipid information, and the anomaly assessment includes by blood lipid number
Value is compared with standard figures, while being compared with previous blood lipid numerical value；System generates radar map, obtains patients with lipid and is raised and lowered
Current intelligence analysis, and abnormal conditions (compared with standard data) are warned.
Second assessment unit is configured to carry out according to assessment information and according to " Blood Lipid Abnormality in Chinese Adults guideline of prevention and treatment "
ASCVD risk assessment.The risk that automatic assessment ASCVD occurs.
Third assessment unit is configured to assess diet, activity, life style and psychology with assessment tool,
Automatically generate line chart.With assessment tool, come motion conditions such as movement, nutrition, life, the psychology of assessing patient, go out in this way
Come the result is that there is foundation, rather than see the subjective feeling of medical worker merely.The assessment object of assessment tool includes: activity
Ability (muscular strength, activity), Nutrition Evaluation (body mass index, Nutritional Risk), Family measuring (family function, Family Functions), sleep
Assess (Pittsburgh Sleep Quality Index PSQI), mood assessments (screening of GAD-7 anxiety, the screening of PHQ-9 depression).Above content root
According to International or National generally acknowledged scale production, after user inputs information, system can be jumped out automatically as a result, in this way can objective assessment
Movement, diet, life and the psychologic status of user.
Monitoring unit is configured to the dietary data to patient, administration data, exercise data and carries out tracking feedback, described
Tracking is fed back
The intake time of breakfast, lunch and dinner and snack, intake content, intake, according to calculate and record fat, carbon water, protein,
The intake of cellulose, vitamin, sodium salt, tobacco and wine forms record, line chart and abnormity prompt；Such as rear platform is recorded every time
It reminds the gap of the various nutriments of patient and ingestion standard or warning patient has been more than ingestion standard, selective analysis fat, gallbladder
, there is abnormal conditions platform in the intake situation of sterol, carbohydrate, sodium salt, tobacco and wine, protein, cellulose and vitamin etc.
It is automatically reminded to patient and family members.
The administration data for obtaining patient generates medication according to administration data and reminds；
The exercise data for obtaining patient generates consumed calorie according to exercise data, and refers to the physiology of movement front and back
Mark is associated.System generates the broken line of " monthly times of exercise ", " movement average time every time ", " movement consumption calorie every time "
Figure.
Analytical unit is configured to carry out an example analysis, institute to acquired identity information, blood lipid information and assessment information
Stating an example analysis includes:
It is to distinguish to defend knowledge to carry out corresponding push hyperlipidemia with age, gender；Such as when juvenile period, the young and the middle aged
The hyperlipidemia defence of phase, senectitude, climacteric women.
The inquiry of the performance symptom and defensive measure of related complication is provided；Such as hyperlipidemia and premature coronary heart disease, cerebral infarction,
Hypertension, atherosclerosis, diabetes, fatty liver, the performance symptom of obesity and defensive measure.
Recommend the diet style of defence hyperlipidemia.Such as it is updated according to patient disease information and the variation of health monitoring big data
The intake of patient's various nutriments daily is formulated, lipid-loweringing food materials and lipid-loweringing menu are recommended.System generates line chart.
Recommend the motion mode of defence hyperlipidemia.System generate " monthly times of exercise ", " every time movement average time ",
The line chart of " movement consumption calorie every time ".Suggestion and points for attention explanation to exercise intensity, frequency, time and project,
Formulate motion scheme.
Recommend the life style of defence hyperlipidemia.System generates line chart.
Recommend the psychological regulation of defence hyperlipidemia.System generates line chart.
Case unit is configured to the identity information according to patient, blood lipid information, assessment information, the Auto-matching degree of association
Higher hyperlipidemia case, and message push is carried out to patient's account.
First consulting unit, is configured to push dyslipidemia knowledge, rational diet, suitable exercise, rule to patient module
Restrain the relevant knowledge of life, psychological balance.
Wherein, medical care module includes:
Second acquisition unit is configured to obtain the identity information of medical staff；Identity information includes name, gender,
It goes through, occupation, academic title, contact method, affiliated hospital and department, the training field being good at.
Second communication unit is configured to establish data communication with server；Transfer the information of contracted patient, profession is known
Knowledge data etc..
Second execution unit is configured to generate doctor's account associated with identity information；Logging in for medical staff makes
With.
Service unit is configured to receive the online service request of patient's account, and the patient end with transmission service request
Account foundation service association, the service association include that (offer patient reserves the service of registering, can also with subscription services under line are provided
Visited health service according to the time that patient reserves), Online reference service (interact with patient, detection patient health etc.), online
Consulting services.
Second consulting unit, is configured to push blood lipid medical care knowledge, dyslipidemia knowledge, reasonable meals to medical care module
Food, suitable exercise, regularity living, psychological balance relevant knowledge.
Settlement method corresponding with above-mentioned blood lipid management system, comprising the following steps:
For patient side:
S1: obtaining the identity information of patient, and the identity information of patient includes the bases such as the name of patient, gender, date of birth
Plinth information, for generating patient end account associated with identity information；It logs in and uses for patient.
S2: by the data input interface that can be interacted, the blood lipid information of patient is obtained；
S3: by the data input interface that can be interacted, the assessment information of patient is obtained；
S4: anomaly assessment is carried out to blood lipid information, the anomaly assessment includes comparing blood lipid numerical value and standard figures, together
When with previous blood lipid numerical value compare, system generate radar map；
S5: ASCVD risk assessment is carried out according to assessment information.
S6: diet, activity, life style and psychology are assessed with assessment tool.
According to the blood lipid information of acquisition and assessment information, an example analysis is generated, a example analysis includes push and blood lipid
Information professional knowledge corresponding with assessment information, the professional knowledge include that hyperlipidemia defensive measure, complication and defence are arranged
It applies, hyperlipidemia dietary knowledge.
S7: obtaining the dietary data of patient, the dietary data include the intake time of breakfast, lunch and dinner and snack, intake content,
Intake, according to calculate and record fat, carbohydrate, protein, cellulose, vitamin, sodium salt, tobacco and wine intake,
Form record and abnormity prompt；The administration data for obtaining patient generates medication according to administration data and reminds；Obtain the movement of patient
Data generate consumed calorie according to exercise data, and associated with the physical signs of movement front and back, automatically generate broken line
Figure.
For doctor side:
The identity information of medical staff is obtained, doctor's account associated with doctor's identity information, doctor's account are generated
Family can receive online service request, and establish service with the patient end account for sending service request and be associated with, and import associated suffer from
The identity information of person end account, blood lipid information, assessment information, establish the communication with associated patient end account.
For back-stage management person:
S1: it is default about hyperlipidemia relevant professional knowledge and the database of case, it is called for patient module and medical care module
Information；
S2: the permission etc. of patient module and medical care module are configured and are managed.
S3: receiving and stores the information obtained from module and medical care module；
For back-stage management:
Unitized management is carried out to the data of blood lipid health control, the exchange of data and the management of index is carried out, reaches
Visualization effect.
Embodiment 2: a kind of blood lipid management system is configured at terminal, is divided into three parts, is respectively:
1. health service platform web terminal
Health service platform be mainly used for doctors and nurses and other health care professionals, system manager to system,
Patient, medical care information be managed.System manager has highest permission, and all module and distribution permission can be used.It is logical
The login interface of browser log-in service system is crossed, enters service platform (see Fig. 1) after inputting username and password, according to service
Process carries out health control to patient, carries out maintenance of information to medical care.Unitized pipe is carried out to the data of blood lipid health control
Reason, carries out the exchange of data and the management of index, reaches visualization effect.
2. health service platform patient end APP
Health service platform patient end APP, including health account, individual character scheme, health monitoring, case push, health money
5 functional modules (see Fig. 2) such as news." health account " and " individual character scheme " 2 functional modules facilitate patient and carry out individual character
Change medical treatment and nursing, adjustment guidance in time and treatment and nursing scheme, effectively control blood lipid level." health information ", " case pushes away
Send " and " health monitoring " 3 functional modules, patient can be helped to accomplish " knowing ", " letter ", " row " of blood lipid management.Wherein " healthy shelves
" disease information " in case " module is divided into " dyslipidemia analysis ", " ASCVD overall incidence assessment of risks ", " health self-test
Card ", this is the innovative point of this APP, and " dyslipidemia analysis " can automatically generate line chart, is carried out automatically to the blood lipid situation of patient
Analysis；" ASCVD overall incidence assessment of risks " inputs the essential information of patient, the automatic risk assessing ASCVD and occurring；It is " strong
Health surveys card certainly " influence of assessment diet, movement, psychology, life style to disease." health information " module enhances health propaganda and education
Convenience can help the disease knowledge for understanding dyslipidemia prevention and treatment；" case push " module can upload case in addition to medical care and patient
Example, is additionally provided with " dyslipidemia self-management diary " column, allows patient to be fully recognized that hyperlipidemia endangers, helps firm control
The convictions such as treatment, suitable exercise, healthy diet." health monitoring " is changed by implementing monitoring diet, movement and medicining condition, guidance
Bad life habits improve its ability of self-management.
3. health service platform medical care end APP
4 function such as health service platform medical care end APP, including personal information, health control, health service and individual center
It can module (see Fig. 3).Its core function is the health account of real time inspection patient, the health data of real-time monitoring patient, doctor
It is reminded according to the early warning of patient's big data data and system, formulates personalized health scheme, carry out intervening guidance in time.
The concrete function of APP is provided that
A-patient's version APP
B-medical care version APP
Claims (10)
1. a kind of blood lipid management method characterized by comprising
The identity information of patient is obtained, patient end account associated with identity information is generated；
Obtain patient blood lipid information, and to blood lipid information carry out anomaly assessment, the anomaly assessment include by blood lipid numerical value with
Standard figures comparison, while being compared with previous blood lipid numerical value, generate radar map；
The assessment information for obtaining patient carries out ASCVD risk assessment and health evaluating according to assessment information；
Diet, movement, life style, psychology are assessed according to identity information, blood lipid information, assessment information, generate broken line
Figure.
2. a kind of blood lipid management method according to claim 1, which is characterized in that the assessment information include basic data and
Self test data,
The basic data includes the age of patient, medical history, height, weight, medicining condition, HR values, blood pressure values, blood lipid
Numerical value；
The self test data includes family's medical history, living habit, the eating habit, activity habit, psychologic status of patient.
3. a kind of blood lipid management method according to claim 1, which is characterized in that further include:
According to the blood lipid information of acquisition and assessment information, an example analysis is generated, a example analysis includes push and blood lipid information
Professional knowledge corresponding with assessment information and case, the professional knowledge include hyperlipidemia defensive measure, complication, complication
Defensive measure, hyperlipidemia diet, hyperlipidemia movement, hyperlipidemia knowledge on drug abuse, the case are hyperlipidemia case.
4. a kind of blood lipid management method according to claim 1, which is characterized in that further include:
The dietary data of patient is obtained, the dietary data includes the intake time of breakfast, lunch and dinner and snack, takes in content, intake,
According to the intake of calculating and record fat, carbon water, protein, cellulose, vitamin, sodium salt, tobacco and wine, record and exception are formed
It reminds, and generates line chart；
And/or
The administration data for obtaining patient generates medication according to administration data and reminds；
And/or
The exercise data for obtaining patient generates consumed calorie, and the physical signs phase with movement front and back according to exercise data
Association generates the line chart of " monthly times of exercise ", " movement average time every time ", " movement consumption calorie every time ".
5. a kind of blood lipid management method according to claim 1, which is characterized in that further include:
The identity information of medical staff is obtained, doctor's account associated with doctor's identity information, doctor's account energy are generated
Online service request is enough received, and establishes service with the patient end account for sending service request and is associated with, imports associated patient end
The identity information of account, blood lipid information, assessment information, establish the communication with associated patient end account.
6. a kind of blood lipid management system, is configured at terminal, which is characterized in that including the patient module used for patient, the trouble
Person's module includes:
First acquisition unit is configured to obtain the identity information of patient, blood lipid information, assessment information；
First communication unit is configured to establish data communication with server, is obtained to server transmission by acquiring unit
Information, and receive the information of server return；
First execution unit is configured to generate patient end account associated with identity information；
First assessment unit, be configured to blood lipid information carry out anomaly assessment, the anomaly assessment include by blood lipid numerical value with
Standard figures comparison, while being compared with previous blood lipid numerical value；
Second assessment unit is configured to carry out according to assessment information and according to " Blood Lipid Abnormality in Chinese Adults guideline of prevention and treatment "
ASCVD risk assessment；
Third assessment unit, be configured to according to identity information, blood lipid information, assessment information to diet, movement, life style,
Psychology is assessed, and line chart is generated.
7. blood lipid management system according to claim 6, which is characterized in that the patient module further includes monitoring unit, is matched
It sets and carries out tracking feedback for dietary data, administration data, the exercise data to patient, the tracking feedback includes:
The intake time of breakfast, lunch and dinner and snack, intake content, intake, according to calculating and record fat, carbon water, protein, fiber
The intake of element, vitamin, sodium salt, tobacco and wine forms record and abnormity prompt, generates line chart；
And/or
The administration data for obtaining patient generates medication according to administration data and reminds；
And/or
The exercise data for obtaining patient generates consumed calorie, and the physical signs phase with movement front and back according to exercise data
Association generates the line chart of " monthly times of exercise ", " movement average time every time ", " movement consumption calorie every time ".
8. blood lipid management system according to claim 6, which is characterized in that the patient module further includes analytical unit, is matched
It sets for carrying out an example analysis to acquired identity information, blood lipid information and assessment information, a example analysis includes:
It is to distinguish to defend knowledge to carry out corresponding push hyperlipidemia with age, gender；
And/or
The inquiry of the performance symptom and defensive measure of related complication is provided；
And/or
Recommend diet, movement, psychology and the life style of defence hyperlipidemia；
And/or
Push corresponding medical record case.
9. blood lipid management system according to claim 6, which is characterized in that further include the medical care mould for health care workers' operation
Block, the medical care module include:
Second acquisition unit is configured to obtain the identity information of medical staff；
Second communication unit is configured to establish data communication with server；
Second execution unit is configured to generate doctor's account associated with identity information；
Service unit is configured to receive the online service request of patient's account, and the patient end account with transmission service request
Service association is established, the service association includes and provides subscription services, Online reference service, online consulting services under line.
10. blood lipid management system according to claim 9, which is characterized in that further include background module, be configured to patient
Module and medical care module are managed and operate.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111627523A (en) * | 2020-05-15 | 2020-09-04 | 成都市第五人民医院 | Clinical nutrition diagnosis and treatment simulation system and simulation method |
| CN112489768A (en) * | 2020-12-28 | 2021-03-12 | 重庆市汇人健康管理有限责任公司 | Intelligent healthy diet management system for improving fatty liver disease |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105975773A (en) * | 2016-05-05 | 2016-09-28 | 武汉哈福科技有限公司 | Chronic disease health management system and method |
| CN106909786A (en) * | 2017-02-26 | 2017-06-30 | 曹亮明 | A kind of intelligent blood pressure management equipment and control method |
| CN107085817A (en) * | 2017-05-27 | 2017-08-22 | 北京医健保健康管理有限公司 | Medical system |
| CN107103174A (en) * | 2016-11-25 | 2017-08-29 | 北京动亮健康科技有限公司 | Chronic diseases management system based on motion intervention, diet intervention and psychological intervention |
| CN107785062A (en) * | 2017-10-31 | 2018-03-09 | 南京鼓楼医院 | It is multidisciplinary to intervene fat health control method |
-
2019
- 2019-03-06 CN CN201910168012.8A patent/CN109887575A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105975773A (en) * | 2016-05-05 | 2016-09-28 | 武汉哈福科技有限公司 | Chronic disease health management system and method |
| CN107103174A (en) * | 2016-11-25 | 2017-08-29 | 北京动亮健康科技有限公司 | Chronic diseases management system based on motion intervention, diet intervention and psychological intervention |
| CN106909786A (en) * | 2017-02-26 | 2017-06-30 | 曹亮明 | A kind of intelligent blood pressure management equipment and control method |
| CN107085817A (en) * | 2017-05-27 | 2017-08-22 | 北京医健保健康管理有限公司 | Medical system |
| CN107785062A (en) * | 2017-10-31 | 2018-03-09 | 南京鼓楼医院 | It is multidisciplinary to intervene fat health control method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111627523A (en) * | 2020-05-15 | 2020-09-04 | 成都市第五人民医院 | Clinical nutrition diagnosis and treatment simulation system and simulation method |
| CN112489768A (en) * | 2020-12-28 | 2021-03-12 | 重庆市汇人健康管理有限责任公司 | Intelligent healthy diet management system for improving fatty liver disease |
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