CN111696639A - Patient health big data self-management system and method thereof - Google Patents
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Abstract
The invention discloses a patient health big data self-management system and a method thereof. The invention has the beneficial effects that: the self-management platform of the big health data of the patient is constructed, the systematic management and analysis of the big health data of the patient are realized, the accurate management efficiency of the patient is improved, particularly the efficiency of the patient in emergency states such as new coronary pneumonia epidemic situations and the like, a reference basis is provided for the accurate and efficient management of chronic diseases, and the scientific construction of the medical system in China is accelerated and promoted.
Description
Technical Field
The invention relates to a patient health management system, in particular to a patient health big data self-management system and a method thereof, belonging to the technical field of medical management systems.
Background
Chronic diseases are short for chronic non-infectious diseases, including cancer, renal failure, diabetes, hypertension, etc. Currently, chronic diseases, including cancer patients, have entered the whole regulatory era. Taking breast cancer as an example, a large amount of fragmentary health data can be generated in long-term follow-up diagnosis and treatment of a patient, and how to realize real-time and orderly management of the data has important significance for comprehensively understanding the illness state of the patient and realizing accurate diagnosis and treatment. However, the overall education level of chronic patients such as breast cancer in China is not high, the popularization of medical knowledge is yet to be enhanced, information barriers still exist among medical platforms, the medical institutions are uneven in level, real-time, effective and whole-process management of big self-health data of the patients is difficult to achieve, intelligent analysis cannot be achieved, and efficient and precise management is difficult to achieve in an emergency state.
Compared with the infectious diseases such as COVID-19 and the like, the chronic non-infectious diseases are short for chronic diseases, have hidden onset, no infectivity, long course of disease, complex etiology, long-term persistence and no cure, need to be managed in the whole process, and are always one of the key contents for preventing and controlling the diseases in China. In recent decade, chronic diseases become the main cause of death of residents in China, account for more than 85% of deaths in China, and are serious in prevention and control situation. Among them, cancer has become a serious disease seriously threatening residents in China, and is also the key point in the prevention and control of chronic diseases. Taking breast cancer as an example, at present, the breast cancer becomes the most common malignant tumor of women in China, about 27.89 ten thousands of new breast cancer cases of women in China in 2014 account for 16.51 percent of all malignant tumor diseases of the women; the deficiency of the precise management of breast cancer mainly manifests in several aspects. Firstly, a medical information data coordination and sharing mechanism needs to be perfect, diagnosis and treatment information data of hospitals with different medical platforms, different areas and different levels cannot be effectively linked, data sharing cannot be realized in real time, repeated diagnosis and treatment and excessive diagnosis and treatment of patients are caused, the economic burden of the patients is increased, online diagnosis and offline diagnosis and treatment are not facilitated, and accurate strategy is implemented; secondly, the awareness of the breast cancer patients on diseases and the management consciousness of self health data need to be improved, at present, the management of the breast cancer mainly adopts a mode of prevention and control combination and whole-course management, a large amount of fragmented and messy health data are generated in the long-term follow-up diagnosis and treatment of the patients, and how to effectively arrange and scientifically manage the fragmented and messy health data is the problem to be solved clinically at present, for example, the patients carry a large amount of diagnosis and treatment data in outpatient service, so that not only is the diagnosis and treatment data lost easily caused, but also the economic burden of the patients is increased, the efficient and accurate diagnosis and treatment of doctors are not facilitated, and the waste of medical resources is also indirectly caused; third, the level of medical resources on the line is uneven, there is no Standard Operation Procedure (SOP), and it is difficult to achieve information sharing and intelligent analysis. With the development of internet technology, an online diagnosis and treatment platform becomes one of important ways for solving the medical needs of patients, but at present, the online diagnosis and treatment platform is not effectively connected with hospitals and medical insurance departments, the technology and management level of each platform are greatly different, the information sharing of the patients cannot be realized, the intelligent analysis cannot be carried out, and the accurate treatment and the accurate enforcement are difficult to realize.
Disclosure of Invention
The present invention is directed to solving the above problems and providing a patient health big data self-management system and a method thereof.
The invention realizes the purpose through the following technical scheme: a big data self-management system for patient health comprises
Patient diagnosis and treatment data integration system: after the standardized initial diagnosis and treatment are completed by a patient, in the subsequent long-term follow-up monitoring process, different types of health data in the initial diagnosis and the subsequent follow-up monitoring of the patient are automatically collected, classified and sorted to form digital information;
health big data evaluation system: after long-term diagnosis and treatment information of a patient is integrated and summarized, the patient can self-invoke relevant diagnosis and treatment data for reference among different diagnosis and treatment platforms on line and medical institutions of different grades and different professional doctors under the line, diagnosis and treatment efficiency and accuracy are improved, unnecessary repeated examination is reduced, and medical resources are saved;
daily data record and monitored control system: in the whole-course management of chronic diseases, daily basic health data (weight, height, diet state, living state, vital signs and the like) of a patient are conveniently recorded; reminding a patient to take the medicine in real time, recording and monitoring adverse reactions in the medicine taking of the patient in real time, enhancing the compliance of the patient, feeding back the adverse reactions in time and providing a basis for improving the medicine; based on different requirements of patients, a professional investigation and evaluation platform is efficiently linked to realize data sharing and analysis; meanwhile, abnormal emergency data are found in time, early warning is given out, response suggestions are provided, and the emergency data are in butt joint with a public emergency platform if necessary to be timely treated.
An emergency intervention system for the disease condition: under the major emergency states such as new crown epidemic situation, the data are diagnose to the health of patient's oneself in combination, and accurate sending authority information and the guidance of state of an illness reply link up public emergency platform in time high-efficiently, carry out accurate management and emergent intervention to the patient.
As a further scheme of the invention: the patient diagnosis and treatment data integration system is based on different health data, the automatic identification, input, correction and classification are directly carried out on the examination results of communities, physical examination centers, three-level hospitals and the like by means of an artificial intelligence technology, and the image acquisition technology is automatically realized on the imaging data (CT, X-ray, MRI and the like) and is classified and sorted; meanwhile, homogeneous identification and input are realized for different medical institutions, hospitals with different levels and different forms of image data and laboratory data, and diagnosis and treatment information and specialized suggestions are recorded in real time.
As a further scheme of the invention: the daily data recording and monitoring system can also monitor and record other factors of adverse reactions possibly related to the medicine of the patient, such as diet, working state and the like; and reminding functions such as rechecking and the like can be set, and the functions of butt joint with each reservation platform can be realized.
As a further scheme of the invention: daily data record and monitored control system is provided with the interactive platform that communicates, realizes the state of an illness between patient and the patient through the interactive platform that communicates, and consultation and communication between patient and the doctor realize real-time, orderly, scientific, convenient, the digital management to patient's healthy big data, establish the health data chain between the doctor and the patient.
As a further scheme of the invention: the daily data recording and monitoring system is further provided with a science popularization pushing platform and a professional guidance pushing platform, different illness states, different stages of diseases and characteristics of patients cooperate with professional authoritative experts through the science popularization pushing platform to build a multi-subject diagnosis and emergency team, the organization experts issue authoritative information, the professional and science popularization knowledge of patient self management and self health care is organized and written and pushed in real time, a new mode of efficient communication and contact among doctors and patients is built, diagnosis and treatment requirements of the patients are fed back in real time through the professional guidance pushing platform, and professional suggestions are given.
As a further scheme of the invention: the emergency intervention system for the disease condition comprises two aspects; firstly, the illness state of a patient is changed rapidly, real-time early warning can be achieved, a professional doctor can be contacted rapidly and efficiently, guidance is given based on the self health data chain of the patient, and the death risk is reduced; and secondly, aiming at major public health and social events, data resources are fully integrated, API open ports are standardized, platform connection processes are cleared, a chronic disease emergency big data intelligent scheduling platform is established, new technical strength and big data bonus are utilized, patient health big data are shared, authority information is issued in time, aiming at different requirements of patients, accurate planning is carried out, patient concerns are responded in time, unnecessary exposure is reduced, medical resources are optimally distributed, and secondary disasters are reduced.
A method for using a patient health big data self-management system comprises the following steps:
1) by applying digital technologies such as big data, artificial intelligence and cloud computing, health data in primary diagnosis and treatment and whole-course management of patients are intelligently identified, image identified and stored, sorted and sorted, intelligently analyzed and pushed, and the like, so that real-time, ordered, scientific, convenient and digital management of the big self health data of the patients is realized, and a health data chain between the doctors and the patients is constructed;
2) setting real-time recording and monitoring of daily health data of a patient, real-time reminding of medicines and adverse reaction monitoring are also important measures for enhancing the compliance of the patient, feeding back the adverse reaction in time, providing a basis for improving the medicines, and recording and monitoring the adverse reaction in the medication of the patient and some basic vital sign data including other factors of the adverse reaction possibly related to the medicines of the patient, such as diet, working state and the like;
3) the method comprises the steps of establishing a multi-subject diagnosis and emergency team, organizing experts to issue authority information, strengthening science popularization and education, establishing a new mode of efficient communication between doctors and patients, exploring a new mode of precise management of chronic patients, collaborating with professional authoritative experts aiming at different disease conditions, different stages of diseases and characteristics of patients, organizing and writing and pushing professional and science popularization knowledge of patient self management and self health care in real time, and improving the life quality of the patients; feeding back diagnosis and treatment requirements of a patient in real time, and giving a specialized suggestion;
4) the emergency big data intelligent scheduling platform is used for rapidly changing the illness state of a patient in remote areas or unconventional diagnosis and treatment time, giving guidance in an emergency state, rapidly and efficiently contacting professional doctors, providing guidance based on the self health data chain of the patient, reducing death risks, corresponding to the occurrence of major public health and social events, integrating data resources, establishing the emergency big data intelligent scheduling platform, sharing the health big data of the patient by using new technical force and big data red profit, timely releasing authority information, and precisely applying strategies according to different requirements of the patient.
The invention has the beneficial effects that: the management system can realize systematic management of the health big data of the patient more efficiently, economically and conveniently, and can evaluate the state of illness, diagnosis and treatment requirements and psychological state of the patient in real time based on intelligent analysis, and adopt accurate intervention as soon as possible to further improve the treatment effect of the patient;
the cross fusion among different disciplines is strengthened, the health information barriers of medical platforms, different areas and different levels of medical institutions are effectively opened, unnecessary repeated diagnosis and treatment are reduced, the efficiency and accuracy of online and offline diagnosis and treatment are improved, limited medical resources are saved, and the economic burden of a patient is reduced;
the intelligent and scientific analysis and evaluation of the big health data of the patient can push authoritative information accurately in real time, and professional intervention can be performed as soon as possible according to the change of the state of illness; particularly, under emergency states such as major epidemic situations and the like, the accurate evaluation of the health big data of the patient is strengthened, the number of diagnosis and treatment demand centers of the patient is determined, authoritative information is pushed in a targeted mode in time, medical resources are distributed efficiently, the psychological pressure of the patient is prevented and relieved, and the influence of secondary disasters is reduced; meanwhile, reference is provided for accurate and efficient management of chronic diseases, collection, classification and analysis of self health data of patients are achieved, interconnection and pushing are achieved in a necessary or emergency state, and accurate management is achieved.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a flow chart of an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to FIG. 1, a patient health big data self-management system includes
Patient diagnosis and treatment data integration system: after the standardized initial diagnosis and treatment are completed by a patient, in the subsequent long-term follow-up monitoring process, different types of health data in the initial diagnosis and the subsequent follow-up monitoring of the patient are automatically collected, classified and sorted to form digital information;
the patient himself carries out automatic collection, classification and arrangement on different types of health data in the initial diagnosis and subsequent follow-up visit monitoring by means of the patient diagnosis and treatment data integration system to form digital information. Emphasizes that based on the present platform system, patients collect data themselves;
health big data evaluation system: after long-term diagnosis and treatment information of a patient is integrated and summarized, the patient can self-invoke relevant diagnosis and treatment data for reference among different diagnosis and treatment platforms on line and medical institutions of different grades and different professional doctors under the line, diagnosis and treatment efficiency and accuracy are improved, unnecessary repeated examination is reduced, and medical resources are saved;
daily data record and monitored control system: in the whole-course management of chronic diseases, daily basic health data (weight, height, diet state, living state, vital signs and the like) of a patient are conveniently recorded; reminding a patient to take the medicine in real time, recording and monitoring adverse reactions in the medicine taking of the patient in real time, enhancing the compliance of the patient, feeding back the adverse reactions in time and providing a basis for improving the medicine; based on different requirements of patients, a professional investigation and evaluation platform is efficiently linked to realize data sharing and analysis; meanwhile, abnormal emergency data are found in time, early warning is given out, response suggestions are provided, and the emergency data are in butt joint with a public emergency platform if necessary to be timely treated.
An emergency intervention system for the disease condition: under the major emergency states such as new crown epidemic situation, the data are diagnose to the health of patient's oneself in combination, and accurate sending authority information and the guidance of state of an illness reply link up public emergency platform in time high-efficiently, carry out accurate management and emergent intervention to the patient.
In the embodiment of the invention, the patient diagnosis and treatment data integration system is based on different health data, and directly carries out automatic identification, input, correction and classification on the examination results of communities, physical examination centers, tertiary hospitals and the like by means of an artificial intelligence technology, and automatically realizes an image acquisition technology for the imaging data such as CT, X-ray, MRI and the like, and carries out classification and arrangement; meanwhile, homogeneous identification and input are realized for different medical institutions, hospitals with different levels and different forms of image data and laboratory data, and diagnosis and treatment information and specialized suggestions are recorded in real time.
In embodiments of the present invention, the daily data recording and monitoring system may also monitor and record other factors of adverse reactions that may be associated with the drug by the patient, such as diet, working status, etc.; and reminding functions such as rechecking and the like can be set, and the functions of butt joint with each reservation platform can be realized.
In the embodiment of the invention, the daily data recording and monitoring system is provided with an interactive communication platform, so that the disease condition communication between patients and the consultation and communication between the patients and doctors are realized through the interactive communication platform, the real-time, orderly, scientific, convenient and digital management of the big health data of the patients is realized, and a health data chain between the doctors and the patients is constructed.
In the embodiment of the invention, the daily data recording and monitoring system is also provided with a science popularization pushing platform and a professional guidance pushing platform, the science popularization pushing platform cooperates with professional authoritative specialists to establish a multi-subject diagnosis and emergency team according to different disease conditions, different stages of diseases and characteristics of patients, the professional authoritative specialists issue authoritative information, the professional and science popularization knowledge of self-management and self-health care of the patients is organized and written and pushed in real time, a new mode of efficient communication between doctors and patients is established, diagnosis and treatment requirements of the patients are fed back in real time through the professional guidance pushing platform, and professional suggestions are given.
In an embodiment of the invention, the emergency intervention system for a medical condition comprises two aspects; firstly, the illness state of a patient is changed rapidly, real-time early warning can be achieved, a professional doctor can be contacted rapidly and efficiently, guidance is given based on the self health data chain of the patient, and the death risk is reduced; and secondly, aiming at major public health and social events, data resources are fully integrated, API open ports are standardized, platform connection processes are cleared, a breast cancer emergency big data intelligent scheduling platform is established, new technical strength and big data bonus are utilized, patient health big data are shared, authority information is issued in time, accurate implementation is performed according to different requirements of patients, patient concerns are responded in time, unnecessary exposure is reduced, medical resources are optimized and distributed, secondary disasters are reduced, meanwhile, a reference basis is provided for accurate and efficient management of chronic diseases, and scientific construction of medical systems in China is accelerated and promoted.
A method for using a patient health big data self-management system comprises the following steps:
a) by applying digital technologies such as big data, artificial intelligence and cloud computing, health data in primary diagnosis and treatment and whole-course management of patients are intelligently identified, image identified and stored, sorted and sorted, intelligently analyzed and pushed, and the like, so that real-time, ordered, scientific, convenient and digital management of the big self health data of the patients is realized, and a health data chain between the doctors and the patients is constructed;
b) setting real-time recording and monitoring of daily health data of a patient, real-time reminding of medicines and adverse reaction monitoring are also important measures for enhancing the compliance of the patient, feeding back the adverse reaction in time, providing a basis for improving the medicines, and recording and monitoring the adverse reaction in the medication of the patient and some basic vital sign data including other factors of the adverse reaction possibly related to the medicines of the patient, such as diet, working state and the like;
c) the method comprises the steps of establishing a multi-subject diagnosis and emergency team, organizing experts to issue authority information, strengthening science popularization and education, establishing a new mode of efficient communication between doctors and patients, exploring a new mode of precise management of chronic patients, collaborating with professional authoritative experts aiming at different disease conditions, different stages of diseases and characteristics of patients, organizing and writing and pushing professional and science popularization knowledge of patient self management and self health care in real time, and improving the life quality of the patients; feeding back diagnosis and treatment requirements of a patient in real time, and giving a specialized suggestion;
d) the emergency big data intelligent scheduling platform is used for rapidly changing the illness state of a patient in remote areas or unconventional diagnosis and treatment time, giving guidance in an emergency state, rapidly and efficiently contacting professional doctors, providing guidance based on the self health data chain of the patient, reducing death risks, corresponding to the occurrence of major public health and social events, integrating data resources, establishing the emergency big data intelligent scheduling platform, sharing the health big data of the patient by using new technical force and big data red profit, timely releasing authority information, and precisely applying strategies according to different requirements of the patient.
The working principle is as follows: by applying digital technologies such as big data, artificial intelligence and cloud computing, combining the characteristics of patients and the defects in epidemic situations, fully integrating diagnosis and treatment data, constructing a self-management platform of healthy big data of the patients, carrying out real-time, efficient, ordered, scientific, convenient, digital and intelligent identification, classification and storage on disordered and trivial health data generated in long-term follow-up diagnosis and treatment of the patients, carrying out scientific analysis by adopting artificial intelligence and biomedical models, constructing a health data chain between patients, realizing individual and accurate management of the patients, particularly realizing accurate management in serious emergency states such as epidemic situations of infectious diseases and the like, and realizing 'number in heart'; meanwhile, a reference basis is provided for accurate and efficient management of chronic diseases, and scientific construction of a medical system is promoted.
Example (b):
the embodiment of the invention is based on the new coronary pneumonia epidemic situation, and takes a breast cancer patient as an example, as shown in figure 2.
Firstly, the method comprises the following steps: investigation of the effect of new coronary pneumonia epidemic on breast cancer patients.
In order to reduce the exposure risk of a breast cancer patient as much as possible, reduce the risk of the patient in hospital, and efficiently and timely know the influence of epidemic situation on the breast cancer patient, a survey questionnaire is designed by means of a new internet social media and a WeChat platform which are widely applied at present, the characteristics of the breast cancer patient are investigated on line, and the diagnosis and treatment requirements of the patient are known; and assessing the psychological changes of the breast cancer Patient by professional psychological scales such as simple self-test depression Scale (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), Insomnia Severity Index (ISI), Event Impact Scale revision (IES-R), and the like. In the period of epidemic situation, the change of diagnosis and treatment demands of the patient is closely concerned, the change of the psychological state is monitored, and a basis is provided for making a countermeasure.
Secondly, the method comprises the following steps: the precise management of breast cancer patients under the epidemic situation of the novel coronavirus pneumonia.
Based on the Internet, the Internet of things and a big data technology, professional guidance is conducted on primary doctors through an online medical platform, and professional popular science knowledge is popularized; the on-line diagnosis and treatment demand of the patient is solved, the care and worry of the patient are actively responded, the individual guidance is carried out on the patient, the outgoing risk of the patient is reduced, the susceptible population is protected, the allocation of medical resources is optimized, and the off-line diagnosis and treatment pressure of the hospital is relieved to a certain extent.
Thirdly, the method comprises the following steps: construction and optimized application of a big data self-management platform for breast cancer diagnosis and treatment.
By applying digital technologies such as big data, artificial intelligence and cloud computing, health data in the initial diagnosis and treatment and the whole-course management of patients are intelligently identified, image identified and stored, sorted and sorted, intelligently analyzed and pushed, and the like, so that real-time, ordered, scientific, convenient and digital management of the big self health data of the patients is realized, and a health data chain between the doctors and the patients is constructed.
1) Self-storage, arrangement and classification functions of diagnosis and treatment data of breast cancer patients: after the breast cancer patient completes the standardized initial diagnosis and treatment, a large amount of re-diagnosis data can be generated in the subsequent long-term follow-up monitoring process. The basic function of the part is to automatically collect, classify and arrange all health data in the initial diagnosis and the follow-up visit monitoring of the patient to form digital information;
based on different health data, the examination results are directly automatically identified, recorded, corrected and classified (different hospital levels: communities, physical examination centers, three-level hospitals and the like) by means of an artificial intelligence technology, and an image acquisition technology is automatically realized for the data of the imaging data (CT, X-ray, MRI and the like) and is classified and sorted; meanwhile, homogeneous identification and input are realized for different medical institutions, hospitals with different grades and different forms of image data and laboratory data, and diagnosis and treatment information and specialized suggestions are recorded in real time;
2) real-time recording and monitoring of daily health data of breast cancer patients: more than 60% of breast cancer patients need to take medicines for a long time, and some patients also take various accompanying diseases, so that real-time reminding of medicines and adverse reaction monitoring are also important measures for enhancing patient compliance, and adverse reactions are fed back in time, so that a basis is provided for improving medicines. The part can remind a patient to take medicine in real time, and record and monitor adverse reactions in the medicine taking of the patient in real time, and some basic vital sign data including other factors of adverse reactions possibly related to the medicine, such as diet, working state and the like, of the patient; and reminding functions such as rechecking and the like can be set, and the functions of butt joint with each reservation platform can be realized.
3) A new mode of whole course management of breast cancer. Aiming at the characteristics and the self-demand of a breast cancer patient, the whole-course management of the patient is optimized by combining with the actual situation, a multi-subject diagnosis and emergency team is established, an organization expert issues authority information, the popularization and education of science are enhanced, a new mode of efficient communication between doctors and patients is established, and a new mode of precise management of the chronic patient is explored. For example, aiming at different diseases of breast cancer, different stages of diseases and the characteristics of patients, the system cooperates with professional authoritative experts to organize and write and push professional and popular science of self management and self health care of the patients in real time, so as to improve the life quality of the patients; the diagnosis and treatment requirements of the patient are fed back in real time, and specialized suggestions (the inquiry function is not provided, only information service is provided, and the information of the patient is accurately collected and collated) are given.
4) And under the emergency state, the breast cancer patient is managed accurately and intervened emergently. The emergency state is divided into two aspects: firstly, the illness state of a patient is changed rapidly, for example, under the critical state of some detection indexes, particularly in remote areas, unconventional diagnosis and treatment time and the like, the patient can give an early warning in real time, contact with professional doctors rapidly and efficiently, and give guidance based on the self health data chain of the patient, so that the death risk is reduced; secondly, aiming at important public health and social events such as non-crown epidemic situations, data resources are fully integrated, API open ports are standardized, the platform connection process is clarified, a breast cancer emergency big data intelligent scheduling platform is built, the healthy big data of a patient are shared by using new technical strength and big data bonus, government decision is assisted, authority information is issued in time, accurate strategy is applied according to different requirements of the patient, the patient's care is responded in time, unnecessary exposure is reduced, medical resources are optimally distributed, and secondary disasters are reduced; meanwhile, a reference basis is provided for accurate and efficient management of chronic diseases, and scientific construction of a medical system in China is accelerated and promoted.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (7)
1. A patient health big data self-management system is characterized in that: comprises that
Patient diagnosis and treatment data integration system: after the standardized initial diagnosis and treatment are completed by a patient, in the subsequent long-term follow-up monitoring process, different types of health data in the initial diagnosis and the subsequent follow-up monitoring of the patient are automatically collected, classified and sorted to form digital information;
health big data evaluation system: after long-term diagnosis and treatment information of a patient is integrated and summarized, the patient can self-invoke relevant diagnosis and treatment data for reference among different diagnosis and treatment platforms on line and medical institutions of different grades and different professional doctors under the line, diagnosis and treatment efficiency and accuracy are improved, unnecessary repeated examination is reduced, and medical resources are saved;
daily data record and monitored control system: in the whole management of chronic diseases, daily basic health data of patients are conveniently recorded; reminding a patient to take the medicine in real time, recording and monitoring adverse reactions in the medicine taking of the patient in real time, enhancing the compliance of the patient, feeding back the adverse reactions in time and providing a basis for improving the medicine; based on different requirements of patients, a professional investigation and evaluation platform is efficiently linked to realize data sharing and analysis; meanwhile, abnormal emergency data are found in time, early warning is given out, a response suggestion is proposed, and the emergency data are butted with a public emergency platform if necessary to be timely treated;
an emergency intervention system for the disease condition: under the major emergency states such as new crown epidemic situation, the data are diagnose to the health of patient's oneself in combination, and accurate sending authority information and the guidance of state of an illness reply link up public emergency platform in time high-efficiently, carry out accurate management and emergent intervention to the patient.
2. The patient health big data self-management system according to claim 1, wherein: the patient diagnosis and treatment data integration system is based on different health data, and directly carries out automatic identification, input, correction and classification on the examination results of different medical institutions such as communities, physical examination centers or three-level hospitals and the like by means of an artificial intelligence technology, automatically realizes an image acquisition technology for the imaging data such as CT, X-ray or MRI, and carries out classification and arrangement; meanwhile, homogeneous identification and input are realized for different medical institutions, hospitals with different levels and different forms of image data and laboratory data, and diagnosis and treatment information and specialized suggestions are recorded in real time.
3. The patient health big data self-management system according to claim 2, wherein: the daily data recording and monitoring system can also monitor and record other factors of adverse reactions possibly related to the medicine of the patient, such as diet or working state; and a reminding function can be set, and the function of butt joint with each reservation platform can be realized.
4. The patient health big data self-management system according to claim 1, wherein: daily data record and monitored control system is provided with the interactive platform that communicates, realizes the state of an illness between patient and the patient through the interactive platform that communicates, and consultation and communication between patient and the doctor realize real-time, orderly, scientific, convenient, the digital management to patient's healthy big data, establish the health data chain between the doctor and the patient.
5. The patient health big data self-management system according to claim 4, wherein: the daily data recording and monitoring system is further provided with a science popularization pushing platform and a professional guidance pushing platform, different illness states, different stages of diseases and characteristics of patients cooperate with professional authoritative experts through the science popularization pushing platform to build a multi-subject diagnosis and emergency team, the organization experts issue authoritative information, the professional and science popularization knowledge of patient self management and self health care is organized and written and pushed in real time, a new mode of efficient communication and contact among doctors and patients is built, diagnosis and treatment requirements of the patients are fed back in real time through the professional guidance pushing platform, and professional suggestions are given.
6. The patient health big data self-management system according to claim 1, wherein: the emergency intervention system for the disease condition comprises two aspects; firstly, the illness state of a patient is changed rapidly, real-time early warning can be achieved, a professional doctor can be contacted rapidly and efficiently, guidance is given based on the self health data chain of the patient, and the death risk is reduced; and secondly, aiming at major public health and social events, data resources are fully integrated, API open ports are standardized, platform connection processes are cleared, a chronic disease emergency big data intelligent scheduling platform is established, new technical strength and big data bonus are utilized, patient health big data are shared, authority information is issued in time, aiming at different requirements of patients, accurate planning is carried out, patient concerns are responded in time, unnecessary exposure is reduced, medical resources are optimally distributed, and secondary disasters are reduced.
7. The use method of the patient health big data self-management system based on claim 1 is characterized by comprising the following steps:
1) the health data in the initial diagnosis and treatment and the whole-course management of the patient are intelligently identified, image identified and stored, sorted and sorted, intelligently analyzed and pushed by applying big data, artificial intelligence and cloud computing digital technology, so that the real-time, ordered, scientific, convenient and digital management of the big self health data of the patient is realized, and a health data chain between the doctors and the patients is constructed;
2) setting real-time recording and monitoring of daily health data of a patient, real-time reminding of medicines and adverse reaction monitoring are also important measures for enhancing the compliance of the patient, feeding back the adverse reaction in time, providing a basis for improving the medicines, and recording and monitoring the adverse reaction in the medication of the patient and some basic vital sign data including other factors of the adverse reaction possibly related to the medicines of the patient, such as diet and working state;
3) the method comprises the steps of establishing a multi-subject diagnosis and emergency team, organizing experts to issue authority information, strengthening science popularization and education, establishing a new mode of efficient communication between doctors and patients, exploring a new mode of precise management of chronic patients, collaborating with professional authoritative experts aiming at different disease conditions, different stages of diseases and characteristics of patients, organizing and writing and pushing professional and science popularization knowledge of patient self management and self health care in real time, and improving the life quality of the patients; feeding back diagnosis and treatment requirements of a patient in real time, and giving a specialized suggestion;
4) the emergency big data intelligent scheduling platform is used for rapidly changing the illness state of a patient in remote areas or unconventional diagnosis and treatment time, giving guidance in an emergency state, rapidly and efficiently contacting professional doctors, providing guidance based on the self health data chain of the patient, reducing death risks, corresponding to the occurrence of major public health and social events, integrating data resources, establishing the emergency big data intelligent scheduling platform, sharing the health big data of the patient by using new technical force and big data red profit, timely releasing authority information, and precisely applying strategies according to different requirements of the patient.
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Application publication date: 20200922 |