CN109935319A - Chronic disease systematic management system - Google Patents
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Abstract
The invention proposes a kind of chronic disease systematic management systems, including curing conjuncted management diagnosis and therapy system, individual health management system, background service system, it cures conjuncted management diagnosis and therapy system and differentiated control is carried out to mechanisms at different levels, chronic disease is subjected to Classification Management by disease, and multi-zone supervision is carried out to doctor's permission;Individual health management system relies on individual ID to establish Profile, and by the acquisition, storage, analysis of health data, realizes the prevention and screening of chronic disease;Background service system is used to support the operational management of entire platform, contains the management of database server, user account and permission and provides the decision-making function of chronic disease.The platform passes through a chronic diseases management platform, around two lines, from three layer management X kind chronic diseases, can accomplish to implement specific personal protection and diagnosis and treatment, guarantee that sufferer data acquisition system caused by community, family and hospital summarizes, to carry out close observation and treatment to slow disease.
Description
Technical field
The invention belongs to internet data processing technology fields and medical information field, and in particular to a kind of chronic disease one
Change comprehensive management platform.
Background technique
Chronic diseases in China disease incidence is high, but awareness, treatment rate and control rate are lower, especially base chronic from
Body health knowledge lacks, is insufficient to the harm of chronic disease and the understanding of long-term treatment importance.Therefore, carry out scientific and normal trouble
Person's health education is very necessary.Base doctor is usually more close with patient contact, can use this chance to patient
Health education is carried out, education patient will learn self-management chronic disease, scientifically prevent and treat chronic disease.As medical information is flourishing
Development, had an electronic prescription, medical care platform, intelligent medical treatment terminal, the informationization means such as disease management program, certain journey
Synthesization, the facilitation of medical information have been helped on degree.
But it is found according to the work of the inventor currently signed, it is comprehensive not enough for the System Construction of chronic disease at present,
Personal health data is difficult to the storage and calling of system, incomplete to the community, hospital and family of a variety of slow disease integration linkages
Covering system.Lack comprehensive, the integrated slow sick platform for sufferer individual information, thus can not also accomplish to cure it is conjuncted enter
It registers one's residence in township.
Summary of the invention
Goal of the invention: in view of the deficiencies of the prior art, the present invention proposes a kind of chronic disease systematic management system, can do
To specific personal protection and diagnosis and treatment is implemented, guarantee that sufferer data acquisition system caused by community, family and hospital summarizes, thus
Close observation and treatment are carried out to slow disease.
Technical solution: a kind of chronic disease systematic management system, including the conjuncted management diagnosis and therapy system of doctor, individual health management
System, background service system, the conjuncted management diagnosis and therapy system of the doctor and individual health management system respectively with the background service
System connection, the conjuncted management diagnosis and therapy system of doctor carry out differentiated control to mechanisms at different levels, chronic disease are classified by disease
Management, and multi-zone supervision is carried out to doctor's permission;The individual health management system relies on individual ID to carry out establishing Profile,
And by the acquisition, storage, analysis of health data, the prevention and screening of chronic disease are realized;The background service system is for branch
The operational management for supportting entire platform contains the management of database server, user account and permission and provides the auxiliary of chronic disease
Help decision making function.
Further, the conjuncted management diagnosis and therapy system of doctor includes mechanism hierarchical management module, chronic disease Classification Management mould
Block, doctor's multi-zone supervision module, the mechanism hierarchical management module are used to carry out medical institutions at different levels differentiated control, and integration is each
The medical resource and service capability information of hospital, establish from front three-it is at county level-the classification diagnostic and therapeutic system of community, realize information fusion,
Data sharing;The chronic disease Classification Management module is built for being managed to the isomeric data of multi-source by chronic disease disease
The matching relationship of vertical disease and corresponding hospital and doctor;Doctor's multi-zone supervision module based on training alliance, according to
Doctor authorizes different chronic disease management and diagnosis and treatment permission in the academic title of Different hospital, and the management of personal slow disease is divided into doctor
Institute, community and family.
Further, the individual health management system includes health and fitness information acquisition module, data memory module, at data
Reason and analysis module, the health and fitness information acquisition module are used to perceive human body indicators data, the acquisition of health and fitness information acquisition module
Human body indicators data are transmitted to data memory module by way of wirelessly or non-wirelessly, and data memory module is by individual storage index
Data information, and it is associated with personal essential information, establish personal health archives;The data processing and analysis module are based on referring to
It enables or periodically obtains data from data memory module and handled and analyzed, identify chronic disease disease and marked.
Further, the background service system includes that database module, account management module and medical decision making support mould
Block, the database module provide Account Registration, verification, log in, step on for storing various data, the account management module
Out, it nullifies function and is that sufferer or doctor carry out priority assignation according to the role of user;The medical decision making supports mould
Block provides the slow sick complete period Integrative Management Model based on medical big data and artificial intelligence, realizes the prevention to chronic disease and sieve
It looks into.
Further, the slow sick complete period Integrative Management Model based on medical big data and artificial intelligence includes:
Slow sick integrated management strategy based on AI autonomous learning: under the premise of following objective diagnosis and treatment process, artificial intelligence is utilized
Energy autonomous learning integrates medical big data, is automatically performed the processing and analysis of associated patient data in hospital information system, for doctor
Business personnel provide medical decision making and support;
Full disease aid decision-making system based on artificial neural network: it utilizes slow in artificial neural network learning clinical data
Patient's symptom and sign, auxiliary examination and diagnosis of disease incidence relation, based on authoritative evidence-based medicine EBM knowledge base and real world
Clinical data constructs knowledge mapping, and full disease aid decision is provided in doctor's diagnosis and treatment process and is supported;
Single diseases personalized medicines DSS based on genetic algorithm: being that machine can by medical record data Content Transformation
The decision tree of identification or algorithm form decision engine according to patient disease feature and provide diagnosis and treatment scheme.
The utility model has the advantages that the present invention is from the prevention of chronic disease, the screening of complication and treatment, towards a variety of not of the same race
The chronic disease of class carries out the requirement of different specific aim measures, a kind of integrated management platform is proposed, to hospital, community and family
Front yard carry out all standing, really realize doctor it is conjuncted enter township register one's residence.Compared with prior art, the present invention has accomplished to implement to specific individual
Protection and diagnosis and treatment, guarantee sufferer data acquisition system caused by community, family and hospital summarize, thus to it is slow disease carry out it is polynary
Change, for a long time, multi-level close observation and treatment.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of chronic disease systematic management system of the present invention;
Fig. 2 is the structural schematic diagram of the conjuncted management diagnosis and therapy system of doctor of the invention;
Fig. 3 is the structural schematic diagram of individual health management system of the invention;
Fig. 4 is of the invention based on can the management of software definition and the communication construction schematic diagram of service system;
Fig. 5 is the structural schematic diagram of background service system of the invention;
Fig. 6 is the roll-over protective structure composition of chronic disease systematic management system of the invention;
Fig. 7 is the application schematic diagram of chronic disease systematic management system of the invention;
Fig. 8 is chronic disease systematic management system of the invention using patient as the full connection schematic diagram of core.
Specific embodiment
Technical solution of the present invention is described further with reference to the accompanying drawing.It is to be appreciated that examples provided below
Merely at large and fully disclose the present invention, and sufficiently convey to person of ordinary skill in the field of the invention
Technical concept, the present invention can also be implemented with many different forms, and be not limited to the embodiment described herein.For
The term in illustrative embodiments being illustrated in the accompanying drawings not is limitation of the invention.
As shown in Figure 1, a kind of chronic disease systematic management system, including the conjuncted management diagnosis and therapy system of doctor, individual health pipe
Reason system, background service system are cured conjuncted management diagnosis and therapy system and individual health management system and are connected respectively with background service system
It connects.It cures conjuncted management diagnosis and therapy system and differentiated control is carried out to mechanisms at different levels, chronic disease is subjected to Classification Management by disease, and to each
Doctor's permission of a academic title carries out multi-zone supervision.Here the conjuncted mechanisms at different levels of doctor include Grade A hospital, area/county hospital, community
Hospital, community and family provide the comprehensive medical framework comprising each level from hospital's angle.Individual health management system
It relies on individual ID (such as electronic health care card, Citizen Card Item, medical card, identity card) to carry out establishing Profile, and passes through healthy number
According to acquisition, storage, analysis, realize the prevention and screening of chronic disease.Individual health management system is by chronic disease specific to individual
Sufferer is brought convenient and collects more personal data, for analysing patient's condition to sufferer.Background service system is used to support whole
The operational management of a platform, contains the management of database server, user account and permission and the auxiliary for providing chronic disease is determined
Plan function.
Referring to Fig. 2, curing conjuncted management diagnosis and therapy system includes mechanism hierarchical management module, chronic disease Classification Management module, doctor
Layer-management module estranged.Mechanism hierarchical management module is used to provide and be classified to the medical institutions at different levels for including community and family
Management, integrates the medical resource and service capability information of each hospital, establish from front three-it is at county level-the classification diagnostic and therapeutic system of community, it is real
Existing information fusion, data sharing.Chronic disease Classification Management module is for carrying out pipe by chronic disease disease to the isomeric data of multi-source
Reason, including main judge index, the diagnosing and treating apparatus etc. for recording each disease, and establishes matching relationship with corresponding hospital and doctor.
Doctor's multi-zone supervision module authorizes different chronic disease managements in the academic title of Different hospital based on training alliance, according to doctor
With diagnosis and treatment permission, the management of personal slow disease is divided into hospital, community and family.
Fig. 3 shows the functional block diagram of individual health management system, including health and fitness information acquisition module, data store mould
Block, data processing and analysis module obtain multi-source heterogeneous data by the Intellisense of various terminal equipment, and will be personal
Health account, chronic disease carry out function fusion with the data such as record, medical diagnosis and treat record, the inspection of all previous coherent video are changed, and realize
Individual health record is connect with the overall process of chronic disease management.Health and fitness information acquisition module is set to community or family, can be used
Wearable device or other physiological detection equipment, for perceiving human blood-pressure, blood glucose, blood lipid, weight height, lung capacity, containing rouge
The achievement datas such as amount, electrocardiogram.The human body indicators data of health and fitness information acquisition module acquisition pass by way of wirelessly or non-wirelessly
Data memory module is transported to, data memory module stores marker data information by individual, and associated with personal essential information, builds
Vertical personal health archives.Data processing and analysis module obtain data from data memory module based on instruction or periodically, first
It is normalized, is compared and analyzed further according to the knowledge base prestored, tentatively identify chronic disease disease and marked.
The reason of carrying out data normalization processing is that different slow sick data targets often has different dimension and unit, the situation
Will have a direct impact on big data analysis as a result, in order to eliminate the influence of dimension between index, need to carry out data normalization processing,
To solve the comparativity between data target.
Due to the isomerism of the portable medical terminal of the use during chronic diseases management, platform support a variety of access technologies and
Networking mode forms the virtual terminal of an enhancing by assembling existing multiple portable medical terminals, and chronic diseases management platform can
Some suitable health terminal equipment is automatically selected with the environment according to locating for user and accesses some wireless network, i.e., with user
Centered on, towards chronic diseases management service, the health service terminal of multiple terminals collaboration is made up of the virtual terminal that multiple terminals is formed
System.Multi net voting collaboration refers to the multiple functions such as access, connection, transmission, the management for coordinating a variety of heterogeneous network resources.Due to more
The chronic diseases management system of terminal collaboration is transmitted using different heterogeneous networks, and uses a variety of wireless access technologys, this is just
Need to break through existing a variety of healthy portable medical terminals the limitation of a certain single network, to realize chronic diseases management much sooner
Service, while being also required to the suitable network of the environmental selection according to locating for slow disease patient and providing service for it.By the above-mentioned stage,
The physiological data of patient could be transferred to data backstage from acquisition equipment, carry out data exchange and management, and strong in resident's electronics
Kang Kanei accomplishes to timely update, and later, medical institutions and community chronic disease administrative center can just make and timely feedback.
In the specific implementation, can by construct towards multidisciplinary, multi-layer, more diseases can software definition management and clothes
Business system realizes the interface function of platform multiplicity.Can management and the service system of software definition API programming abundant be provided connect
Mouthful, it is easy to implement diversified management and service, accomplishes " definable " in terms of Users ' Need-oriented, and there is good expand
Malleability needs to manage different diseases in chronic diseases management platform, and manages additions and deletions portable medical terminal therewith, good to open up
Malleability allow can software definition management and service system in platform construction have advantage.Its thinking of development and own characteristic and society
Area's chronic diseases management platform is consistent, and the network struction and function realization to platform are of great significance.
Based on can software definition management and the slow sick intelligent management and service platform of service system can be with anonymity, different
Step, one-to-many or multi-to-multi mode carry out data distribution.The process is related to sensing layer, network layer and application layer in platform.
First layer is sensing layer, including portable medical terminal and every attached sensors, they generate metadata and metadata is transmitted
To the event agent being connected directly with them, network layer of the second layer as the basic network facilities, main includes providing network clothes
The OpenFlow interchanger of business is responsible for efficiently forwarding event, and provides service to meet the qos requirement of application program;Third
Layer application layer then mainly includes event agent, these event agents form a distributed post/subscription covering network, realizes base
In the publish/subscribe service of chronic diseases management.Event agent receives the metadata generated from medical terminal, and metadata is packaged into
Format (insertion theme) predetermined, is pushed to SDN network then to carry out network transmission.Event agent also receive from
Other act on behalf of the data forwarded, then do corresponding processing.All event agents are divided into different clusters, no
Event agent with cluster is also connected with each other, and forms a distributed post/subscription covering network.Event agent mainly realizes thing
The publication of part such as subscribes to/unsubscribes, notifies and route at the functions, including by storing theme and strategy database, based on
Calculate subscription table and the event routing modules at different levels of routing, the subscription information management module for subscribing to maintenance, for publish/subscribe
The agency network topology maintenance module etc. of topology maintenance.
Fig. 4 shows the communication construction of platform, relies primarily on application layer and control layer, and application layer realizes publish/subscribe function
Can, control layer then increases Internet of Things service interface as northbound interface on the controller.Its workflow is as follows:
1. parameter perception and acquisition: various relevant parameters are perceived and are acquired by sensing system, then are passed via standard agreement
It is delivered to access events agency;
2. information standardization and publication: after access events agency receives data, using set in resource description model library
Concept and attribute by data convert event, then event is published to publish/subscribe network via publish/subscribe interface;
3. case distribution and routing: after the event issued is received by event agent, according still further to subscription table and routing table quilt
Distribute and be routed to different event agents, and sends event notice to the unit for subscribing to the event topic;
4. event subscription person is handled: after event subscription person receives event, the process flow set according to it handles the event.
On this basis, following differentiated control ability can be further provided for: 1) at using big data analysis and artificial intelligence
Platform knowledge uses grading authorized point of sick management mode to the support of medical staff at different levels, with Medical Group disease that calls for specialized treatment types of alliance
Management;2) implement the management changed the place of examination up and down with platform;3) carry out the hospital services of chronic disease internet;4) it is chronic to establish internet
Sick MDT (Multiple Disciplinary Team) service platform;5) remote medical consultation with specialists and guidance.By internet hospital and slow disease
It manages platform and carries out depth integration and cooperative development.Internet hospital is between connection patient and hospital, patient and medical staff
Between bridge, be extension to conventional entity hospital services to outside institute, improve and beneficial complement.Chronic diseases management is internet
Hospital realizes the splendid scene of classification diagnosis and treatment: the electronic health care that specialist and general practitioner pass through different port access citizen
Management is continuously tracked to slow disease patient in card, realization.On the basis of the above, platform periodically invites each training director, deputy director doctor
Teacher carries out the abnormal data consultation of doctors to internet hospital, understands patient data, after comprehensive analysis and pass through network signals patient as a result,
And interacted with patient, physical space is realized in conjunction with Virtual Space, guarantees that patient treats continuity.In addition to Diagnosis-treat Model, process
Optimization, improve, can also be according to being updated, reinforce to the means of services, such as slow disease cell phone managing APP can be developed.On
The measure of stating will greatly enrich internet hospital in the intension and meaning of community chronic disease management, promote internet hospital and community
Chronic diseases management platform depth integration.
Following multi-zone supervision ability may further be provided: 1) family doctor's team services function: front three cures conjuncted one
The family doctor service team community service place point of change and and communication center;2) the virtual clinic of internet hospital services: can make
It for the chronic disease diagnosis and treatment of internet hospital, manages, intervenes, the supporting point of Extension Services is nursed in health education;3) non-medical technology
Health service center: including online booking, medical insurance is paid on line, and the crowds such as disability or old man see a doctor and accompany, and internet makes up a prescription;
4) service function under internet medical treatment line: the medical treatment and care of domestic medicine include blood test under line, change various conduits,
Physical therapy, rehabilitation etc.;5) autonomy organizations such as Chronic Disease in Community self-education, such as diabetes ward mate's meeting, renal failure mutuality etc.;6) community
Internet+precisely chronic disease health education;7) the Internet community remote medical consultation with specialists point.
Background service system provides the management of database, user account and permission and the decision-making function of chronic disease,
Referring to Fig. 5, background service system includes database module, and account management module and medical decision making support module, database are used for
Store various data, functions such as account management module provides the registration of user, verification, logs in, publishes, nullifying and according to using
The role of person is that sufferer or doctor carry out priority assignation.Basic function such as object identity certification, medical history information acquisition storage, people
Member's location tracking, individual privacy and information safety protection, the retrospect of behavior whole process trace, Workload Account analysis, bidirectionally transfering consultation etc..
And according to portable medical service procedure, residential end registration, perfect information, identity validation, submission demand for services application etc. are provided
Function;Community Doctor comments situations such as its disease event, health demand by phone, video, the modes such as register one's residence comprehensively
Estimate, in combination with the health and warning information of acquisition, completes preliminary treatment or worksheet processing task;Medical institutions medical staff is according to society
The worksheet processing task that Qu doctor submits provides corresponding treatment and nursing service for resident.Community Doctor and O2O care new model,
Service supply is expanded, efficiency of service is improved, energy Dock With Precision Position community resident diversification, multi-level health demand are formed
The slow disease of all-in-one writng model in medical care " prevention and treatment health " Novel work mechanism.
Medical decision making support module is on the basis of personal health management system, it is further provided based on the big number of medical treatment
According to the slow sick complete period Integrative Management Model with artificial intelligence, more precisely prevention and the screening to chronic disease is realized.Include:
Artificial intelligence autonomous learning model is constructed based on depth convolutional network, a large amount of medical datas are loaded into model includes
Slow disease practice guidelines, documents and materials, professional book and medical message etc., and artificial intelligence and hospital information system (HIS) is right
It connects, using slow disease patient case taking in database as training set, the slow sick clinical diagnosis and treatment process of its study is made by " training ".It utilizes
Artificial Intelligence and method, it is complete by self feed back model based on authoritative evidence-based medicine EBM knowledge base and real world clinical data
At adjust automatically and algorithm improvement, chronic diseases management model that is more accurate and suiting clinical thinking is constructed, finally accomplishing can be only
Vertical autonomous learning new things, encountering unknown things can reasonably cope with as the mankind, be truly realized class peopleization.
During slow disease clinic diagnosis, under the premise of following objective diagnosis and treatment process, case history is automatically performed by artificial intelligence
The acquisition, cutting and analysis of related data in system are converted to machine recognizable data pattern, are loaded into chronic diseases management model,
It carries out disease intelligently to infer, while diagnosis different foundation, treatment plan foundation and related literatures being provided, doctor is taken
Medical measure give and prompt, warn, provide decision support for medical worker's clinic diagnosis, improve medical service of hospital quality
With health care level, patient's diagnosis and treatment burden is reduced.
Full disease aid decision-making system based on artificial neural network: artificial neural network learning larger scale clinical number is utilized
According to middle slow disease patient symptom and sign, the incidence relation of auxiliary examination and diagnosis of disease, based on authoritative evidence-based medicine EBM knowledge base and very
Real world's clinical data, building is accurate and suits the knowledge mapping of clinical thinking, and it is auxiliary that full disease is provided in doctor's diagnosis and treatment process
Help decision support.
Single diseases personalized medicines DSS based on genetic algorithm: in slow disease patient individuation diagnosis and treatment process
In, according to corresponding clinical guidelines and clinical expertise's scheme, analyzed in conjunction with the true medical record data of patient, by data content
Machine recognizable decision tree or algorithm are converted to, decision engine is formed, according to patient disease feature, intelligence generates diagnosis and treatment side
Case.
Slow self health control model of sick complete period based on big data: pass through wearable device sick patient slow to acquisition
Health data simultaneously uploads to cloud database formation personal health archives, carries out data processing by AI technology, provides personalized strong
Health Managed Solution.Wearable device and intelligent health terminal are relied on, continues to monitor vital sign patient, look-ahead dangerous situation simultaneously mentions
Solution out.
The foundation of chronic diseases management platform also implies that increasing for healthy big data collection analysis and application, this also means that
Focus on the safety of platform data.In the construction of chronic diseases management platform and operational process, it is contemplated that the slow disease of magnanimity will be generated
Medical big data.These data in collection analysis, using data-privacy disclosure risk may be faced in, shared, exchange process
Problem.In recent years, medical personal secrets risk case takes place frequently, and medical personal secrets there is " domestic trouble and foreign invasion ", let out by privacy
Dew event makes a very bad impression, and the leak path of privacy is more hidden under big data era.Especially slow disease patient has been born
Extremely heavy health and psychological burden carries out operation of making profit using its medical data if meeting with criminal, and consequence will be with
The original intention for collecting slow sick big data greatly differs from each other.In the information age, big data is closely connected with cloud computing, therefore big data is general
It is stored in cloud platform, and data needed for chronic diseases management are not limited in data caused by platform and terminal, it will also be with
Docking hospital swaps analysis, in some instances it may even be possible to be connected to each other in future with medical management agency, therefore more to execute data safety
Be rigid in checking up.
To cope with above-mentioned data safety risk, chronic diseases management platform safety frame is constructed, as shown in fig. 6, can be from three
Laterally, three longitudinal directions are designed.Three lateral safe floors mainly for community chronic disease management platform general technical framework and
The safety of proposition: top layer is application layer security, and middle layer is Transport Layer Security, and the bottom is sensing layer safety, is also showed that on figure
The safe practice and security strategy that are related to.The security strategy that sensing layer is related to mainly has equipment certification, data encryption, peace
Full coding, TPM trusted module, security protocol, access control etc..The main leaky scanning of transport layer, Initiative Defense, safety association
The security strategies such as view, network filtering and empowerment management.Application layer mainly includes that security audit, intrusion detection, heat engine calamity are standby, virtual
Security strategies and the means such as isolation, cloud antivirus, user right, safety management.
Security architecture and service, safety standard and security evaluation of three longitudinal safety mainly for Internet of Things entirety, tool
Body implementation content includes security architecture and services, safety standard formulation, risk assessment and security evaluation, and wherein security evaluation includes
Awareness apparatus safety detection service platform, Internet of things system safety detection service platform, Internet of things system risk assessment service are flat
Platform etc.;Cloud platform risk assessment, Virtual Service risk platform, the integrated safety detection of cloud resource etc..
Fig. 7 shows the application schematic diagram of chronic disease systematic management system according to an embodiment of the present invention, passes through two
Line is implemented prevention and control to chronic disease and is managed from three levels using 1+x chronic disease management mode, realizes that chronic disease interconnection is dry
In advance." 2 " refer to two lines, indicate two kinds of chronic diseases management links, are 1) to cure conjuncted route respectively, i.e. Grade A hospital-community doctor
Institute-community-family chronic disease integrated synthesis management and treatment, 2) overall process of resident Jiankang and chronic disease management connects,
That is resident-handles health card (Citizen Card Item)-to establish health account-foundation human body number of package slow according to library-signing family doctor service-
Sti prevention-physical examination+chronic disease disease screening-conjuncted the integrated management of doctor-community intelligent perception monitoring-data analysis-offer essence
Standardization management-family doctor team provides medical services+community and provides internet medical treatment+non-medical health service of community's offer.
" 3 " refer to three levels, indicate three levels of prevention and treatment of chronic diseases, 1) focus on prevention, the 2) screening and early detection of disease
(including complication), 3) management and control of disease." x " refers to 1+x chronic disease management mode, towards such as hypertension, room
It quivers, the x kind chronic disease such as diabetes, chronic kidney disease, cerebral apoplexy, coronary heart disease.
Fig. 8 shows the platform using patient as the full-shape color connection status figure of core.It is directed to the sufferer specific to individual,
It can be connected, while associated with the health agencies such as hospital, community with healthy cloud and a variety of payment channels etc., be accomplished
Information exchange, towards sufferer.The course of work is understood by several typical cases:
Case one: the patient with diabetes has found that blood glucose numerical value is abnormal recently in community's physical examination, the number at hospital
Can timely update according to library, and his (she) data of physical examination equally can be in the database in county hospital.
Case two: resident handles health card (Citizen Card Item), establishes health account and human body number of package according to library, while the family that contracts
Chamber doctor service, this has been switched on chronic disease prevention, by physical examination, data is uploaded in database and are analyzed, platform can provide essence
Standardization management, by the non-medical health service triplicity of the internet medical treatment and community of family doctor team, community.
Case three: old old man is confined to bed, there is hypertension chronic diseases, when she visits to platform application family doctor
When diagnosis and treatment, platform can arrange suitable doctor to go to according to its data.
Case four: chronic goes to the area of surrounding or county town to play, and when feeling not quite the thing, goes to medical, doctor
Its available past index and allergic conditions are convenient for the case where diagnosis is with wrong medicine is reduced.
Case five: government or hospital can transfer the in-depth analysis that data therein carry out single disease, research treatment
Scheme improves therapeutic efficiency, reduces misdiagnosis rate.
Case six: when encountering more complicated or multiple treatment does not have remarkable result, doctor can seek in the database
The medication of other doctors is looked for treat.
Claims (5)
1. a kind of chronic disease systematic management system, which is characterized in that including curing conjuncted management diagnosis and therapy system, individual health management
System, background service system, the conjuncted management diagnosis and therapy system of the doctor and individual health management system respectively with the background service
System connection, the conjuncted management diagnosis and therapy system of doctor carry out differentiated control to mechanisms at different levels, chronic disease are classified by disease
Management, and multi-zone supervision is carried out to doctor's permission;The individual health management system relies on individual ID to establish Profile, and leads to
The prevention and screening of chronic disease are realized in the acquisition, storage, analysis for crossing health data;The background service system is used to support whole
The aid decision of the operational management of a platform, the management and chronic disease that provide data storage, user account and permission supports function
Energy.
2. chronic disease systematic management system according to claim 1, which is characterized in that the conjuncted management diagnosis and treatment system of doctor
System includes mechanism hierarchical management module, chronic disease Classification Management module, doctor's multi-zone supervision module, the mechanism differentiated control mould
Block is used to carry out differentiated control to medical institutions at different levels, integrates the medical resource and service capability information of each hospital, establishes from three
First-is at county level-the classification diagnostic and therapeutic system of community, realize information fusion, data sharing;The chronic disease Classification Management module for pair
The isomeric data of multi-source is managed by chronic disease disease, and establishes the matching relationship of disease with corresponding hospital and doctor;Institute
Doctor's multi-zone supervision module is stated based on training alliance, authorizes different chronic disease pipes in the academic title of Different hospital according to doctor
The management of personal slow disease is divided into hospital, community and family by reason and diagnosis and treatment permission.
3. chronic disease systematic management system according to claim 1, which is characterized in that the individual health management system
Including health and fitness information acquisition module, data memory module, data processing and analysis module, the health and fitness information acquisition module is used for
Human body indicators data are perceived, the human body indicators data of health and fitness information acquisition module acquisition are transmitted to by way of wirelessly or non-wirelessly
Data memory module, data memory module store marker data information by individual, and associated with personal essential information, establish a
People's health account;The data processing and analysis module obtain data based on instruction or periodically from data memory module and are returned
One changes processing and comparative analysis, identifies chronic disease disease and is marked.
4. chronic disease systematic management system according to claim 1, which is characterized in that the background service system includes
Database module, account management module and medical decision making support module, the database module is for storing various data;It is described
Account management module is for being managed the identity of user account and carrying out priority assignation according to the role of user;The doctor
Slow sick complete period Integrative Management Model of the decision support module based on medical big data and artificial intelligence is treated, is realized to chronic disease
Prevention and screening.
5. chronic disease systematic management system according to claim 4, which is characterized in that it is described based on medical big data and
The slow sick complete period Integrative Management Model of artificial intelligence includes:
Slow sick integrated management strategy based on AI autonomous learning: under the premise of following objective diagnosis and treatment process, certainly using artificial intelligence
Primary learning integrates medical big data, is automatically performed the processing and analysis of associated patient data in hospital information system, is medical matters people
Member provides medical decision making and supports;
Full disease aid decision-making system based on artificial neural network: slow sufferer in artificial neural network learning clinical data is utilized
Person's symptom and sign, auxiliary examination and diagnosis of disease incidence relation, it is clinical based on authoritative evidence-based medicine EBM knowledge base and real world
Data construct knowledge mapping, and full disease aid decision is provided in doctor's diagnosis and treatment process and is supported;
Single diseases personalized medicines DSS based on genetic algorithm: medical record data Content Transformation can recognize for machine
Decision tree or algorithm, form decision engine and according to patient disease feature provide diagnosis and treatment scheme.
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CN201910197425.9A CN109935319A (en) | 2019-03-15 | 2019-03-15 | Chronic disease systematic management system |
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CN110570945A (en) * | 2019-11-06 | 2019-12-13 | 常州糖族部落云健康科技有限公司 | AI chronic disease management method, computer storage medium and electronic device |
CN110580940A (en) * | 2019-08-28 | 2019-12-17 | 北京好医生云医院管理技术有限公司 | Chronic disease management method and device based on big data |
CN111128381A (en) * | 2019-12-25 | 2020-05-08 | 武汉大学 | Active 120 system based on artificial intelligence |
CN111145904A (en) * | 2019-12-31 | 2020-05-12 | 苏州科技城医院 | Information-based integrated chronic disease management system and method |
CN111243762A (en) * | 2020-01-19 | 2020-06-05 | 广州天健软件有限公司 | Method and system for accurately pushing medical information |
CN111696633A (en) * | 2020-05-13 | 2020-09-22 | 上海融达信息科技有限公司 | Disease prevention and control service system and method based on community health big data |
CN112164455A (en) * | 2020-10-15 | 2021-01-01 | 四川大学 | Interactive health management system and method for chronic diseases of old people |
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CN112802604A (en) * | 2021-02-22 | 2021-05-14 | 苏州市卫生健康委员会 | Screening method and system for chronic diseases |
CN113539483A (en) * | 2021-08-02 | 2021-10-22 | 曜立科技(北京)有限公司 | Chronic disease screening service system based on cloud computing |
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CN114969379A (en) * | 2022-06-17 | 2022-08-30 | 好人生(上海)健康科技有限公司 | Big data-based method and device for generating single disease health management knowledge map |
CN115689836A (en) * | 2023-01-04 | 2023-02-03 | 山东沐华医疗科技有限公司 | Home medical contract signing, basic public health and chronic disease management integrated service platform and management method |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020147615A1 (en) * | 2001-04-04 | 2002-10-10 | Doerr Thomas D. | Physician decision support system with rapid diagnostic code identification |
CN103605911A (en) * | 2013-12-11 | 2014-02-26 | 东南大学 | Intelligent community health care system control method based on Internet of things |
CN105335804A (en) * | 2014-08-06 | 2016-02-17 | 北京计算机技术及应用研究所 | Community health service system |
CN108717875A (en) * | 2018-05-18 | 2018-10-30 | 贵州大学 | A kind of chronic disease intelligent management system based on big data |
-
2019
- 2019-03-15 CN CN201910197425.9A patent/CN109935319A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020147615A1 (en) * | 2001-04-04 | 2002-10-10 | Doerr Thomas D. | Physician decision support system with rapid diagnostic code identification |
CN103605911A (en) * | 2013-12-11 | 2014-02-26 | 东南大学 | Intelligent community health care system control method based on Internet of things |
CN105335804A (en) * | 2014-08-06 | 2016-02-17 | 北京计算机技术及应用研究所 | Community health service system |
CN108717875A (en) * | 2018-05-18 | 2018-10-30 | 贵州大学 | A kind of chronic disease intelligent management system based on big data |
Non-Patent Citations (2)
Title |
---|
国务院: "国务院:推进分级诊疗制度建设指导意见", 《中国医疗保险》 * |
程洁等: "医联体"专全结合"慢性病管理模式及其对开展分级诊疗的作用研究", 《中国全科医疗》 * |
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CN110580940A (en) * | 2019-08-28 | 2019-12-17 | 北京好医生云医院管理技术有限公司 | Chronic disease management method and device based on big data |
CN110570945A (en) * | 2019-11-06 | 2019-12-13 | 常州糖族部落云健康科技有限公司 | AI chronic disease management method, computer storage medium and electronic device |
CN110570945B (en) * | 2019-11-06 | 2020-02-14 | 常州糖族部落云健康科技有限公司 | AI chronic disease management method, computer storage medium and electronic device |
CN111128381A (en) * | 2019-12-25 | 2020-05-08 | 武汉大学 | Active 120 system based on artificial intelligence |
CN111145904A (en) * | 2019-12-31 | 2020-05-12 | 苏州科技城医院 | Information-based integrated chronic disease management system and method |
CN111243762A (en) * | 2020-01-19 | 2020-06-05 | 广州天健软件有限公司 | Method and system for accurately pushing medical information |
CN111696633A (en) * | 2020-05-13 | 2020-09-22 | 上海融达信息科技有限公司 | Disease prevention and control service system and method based on community health big data |
CN112164455A (en) * | 2020-10-15 | 2021-01-01 | 四川大学 | Interactive health management system and method for chronic diseases of old people |
CN112420140A (en) * | 2020-10-23 | 2021-02-26 | 江苏亚寰软件股份有限公司 | Chronic disease full-period management and supervision system based on block chain and machine learning algorithm |
CN112732673A (en) * | 2021-01-04 | 2021-04-30 | 上海市宝山区疾病预防控制中心 | System for realizing analysis and processing of chronic disease quality control data based on big data |
CN112802604A (en) * | 2021-02-22 | 2021-05-14 | 苏州市卫生健康委员会 | Screening method and system for chronic diseases |
CN113744875A (en) * | 2021-06-25 | 2021-12-03 | 韩勇 | Chronic disease management method, system, electronic device and storage medium |
CN113539483A (en) * | 2021-08-02 | 2021-10-22 | 曜立科技(北京)有限公司 | Chronic disease screening service system based on cloud computing |
CN114005522A (en) * | 2021-10-28 | 2022-02-01 | 平安国际智慧城市科技股份有限公司 | Data processing method, device, equipment and storage medium |
CN114155965A (en) * | 2021-12-13 | 2022-03-08 | 首都医科大学附属北京安贞医院 | Intelligent hypertension and chronic disease management service system based on human-computer interaction |
CN114416844A (en) * | 2022-01-19 | 2022-04-29 | 平安国际智慧城市科技股份有限公司 | Chronic disease management device based on medical data, electronic equipment and storage medium |
CN114969379A (en) * | 2022-06-17 | 2022-08-30 | 好人生(上海)健康科技有限公司 | Big data-based method and device for generating single disease health management knowledge map |
CN115689836A (en) * | 2023-01-04 | 2023-02-03 | 山东沐华医疗科技有限公司 | Home medical contract signing, basic public health and chronic disease management integrated service platform and management method |
CN115798715A (en) * | 2023-02-09 | 2023-03-14 | 山东沐华医疗科技有限公司 | Chronic respiratory disease prevention and treatment information management system based on data analysis |
CN115798715B (en) * | 2023-02-09 | 2023-06-09 | 山东沐华医疗科技有限公司 | Chronic respiratory disease prevention and treatment information management system based on data analysis |
CN117637089A (en) * | 2023-12-06 | 2024-03-01 | 广东康合慢病防治研究中心有限公司 | Medical chronic disease case storage monitoring management device and system |
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