CN111477348A - Novel coronavirus pneumonia disease prevention and control system based on mobile internet - Google Patents
Novel coronavirus pneumonia disease prevention and control system based on mobile internet Download PDFInfo
- Publication number
- CN111477348A CN111477348A CN202010273103.0A CN202010273103A CN111477348A CN 111477348 A CN111477348 A CN 111477348A CN 202010273103 A CN202010273103 A CN 202010273103A CN 111477348 A CN111477348 A CN 111477348A
- Authority
- CN
- China
- Prior art keywords
- patient
- doctor
- module
- prescription
- supervision module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 206010035664 Pneumonia Diseases 0.000 title claims abstract description 19
- 241000711573 Coronaviridae Species 0.000 title claims abstract description 18
- 230000006806 disease prevention Effects 0.000 title claims abstract description 11
- 238000004891 communication Methods 0.000 claims abstract description 22
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 17
- 201000010099 disease Diseases 0.000 claims abstract description 11
- 230000000007 visual effect Effects 0.000 claims abstract description 6
- 238000003745 diagnosis Methods 0.000 claims abstract description 4
- 230000003993 interaction Effects 0.000 claims abstract description 4
- 230000008520 organization Effects 0.000 claims abstract description 4
- 239000013598 vector Substances 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 7
- 102100037812 Medium-wave-sensitive opsin 1 Human genes 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 4
- 230000036772 blood pressure Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 239000003814 drug Substances 0.000 abstract description 2
- 230000006399 behavior Effects 0.000 abstract 1
- 230000002265 prevention Effects 0.000 description 6
- 208000024891 symptom Diseases 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000013079 data visualisation Methods 0.000 description 3
- 238000002955 isolation Methods 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000003012 network analysis Methods 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 206010012735 Diarrhoea Diseases 0.000 description 1
- 206010037660 Pyrexia Diseases 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 230000005713 exacerbation Effects 0.000 description 1
- 238000011985 exploratory data analysis Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 210000003734 kidney Anatomy 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003449 preventive effect Effects 0.000 description 1
- 230000005180 public health Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
- G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Chemical & Material Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Medicinal Chemistry (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention relates to a novel coronavirus pneumonia disease prevention and control system based on a mobile internet, and relates to the technical field of intelligent medicine and disease control. The system comprises a patient terminal module, a communication module, a doctor supervision module and a government supervision module; the patient terminal module takes an isolated patient as a main body, fills in an illness state diary card through a program built in the mobile equipment, and transmits the illness state diary card to the doctor supervision module and the government supervision module through the communication module; the doctor supervision module takes community doctors as a main body, manages the illness state diary card transmitted by the patient terminal module, analyzes the illness state of the patient according to the content of the illness state diary card, and further determines whether to communicate online and recommend a treatment prescription; the doctor supervision module also realizes doctor-patient interaction, mobile consultation and conference live broadcast functions through the communication module; the government supervision module displays the epidemic situation live of the governed organization in real time through a visual tool and supervises the disease condition diary card of the patient terminal module and the doctor diagnosis and treatment behaviors of the doctor supervision module.
Description
Technical Field
The invention relates to the technical field of intelligent medicine and disease control, in particular to a novel coronavirus pneumonia disease prevention and control system based on a mobile internet.
Background
In the control of the new coronavirus pneumonia epidemic situation, the isolation of a suspected person from a mild patient is a very important link. Such preventive and control works, suspect and mild patients should be isolated and monitored in hospitals. But the patient is not required to be hospitalized for various reasons, such as the incapability of meeting the requirements of hospitals and resources, slight symptoms and no potential chronic diseases such as heart and kidney, and the like, and can be isolated and nursed at home. The same home care principles apply to patients who no longer require hospitalization.
During the isolation period at home, the patient should establish communication with the medical health institution until the patient is completely recovered, during which the doctor and the patient should keep communicating at any time, and the medical staff keeps paying attention to the patient every day and knows the symptoms at any time, and can also know the health condition of the patient through a telephone. All family members of the patient are close contacts and should be monitored within 14 days of the last contact and should be hospitalized immediately upon the detection of symptoms, in particular fever, respiratory symptoms or diarrhea.
The basic steps of doctor-patient communication include:
(1) the patients: filling in a disease diary at least once a day;
(2) a doctor: monitoring the state of the patient by combining the diary of the patient's state of illness, and finding that the patient has an exacerbation sign to contact the patient in time;
(3) and (4) a competent department: the disease diary information is collected, and the symptom development trend of the patient is monitored and isolated at home;
during epidemic situations, because medical resources of communities and hospitals at all levels are in shortage, the work has a great gap in doctor-patient service, and the prevention and control of the novel coronavirus pneumonia situation face huge challenges.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a novel coronavirus pneumonia disease prevention and control system based on a mobile internet, aiming at the defects of the prior art, so as to realize prevention and control of novel coronavirus pneumonia diseases.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: the novel coronavirus pneumonia disease prevention and control system based on the mobile internet comprises a patient terminal module, a communication module, a doctor supervision module and a government supervision module;
the patient terminal module mainly comprises an isolated patient, fills an illness state diary card through a built-in program of the mobile equipment, and transmits the illness state diary card to the doctor supervision module and the government supervision module through the communication module; the doctor supervision module takes community doctors as a main body, manages the illness state diary card transmitted by the patient terminal module, analyzes the illness state of the patient according to the content of the illness state diary card, and further determines whether to communicate online and recommend a treatment prescription; the doctor supervision module also realizes doctor-patient interaction, mobile consultation and conference live broadcast functions through the communication module; the government supervision module displays the epidemic situation live condition of the organization in charge in real time through a visual tool and supervises the illness state diary card of the patient terminal module and the doctor diagnosis and treatment behavior of the doctor supervision module.
Preferably, the isolated patients comprise suspects, close contacts, mild patients and patients to be observed after treatment discharge; the disease diary card includes a description of the patient's temperature, blood pressure, and physical condition.
Preferably, the doctor supervision module adopts a visual doctor-patient list to manage the status, files, conversation contents and illness state diary cards of doctor-patient instant messaging; meanwhile, the patients in the doctor-patient list are classified, and doctor work suggestions are given based on the patient classification.
Preferably, the doctor supervision module completes recommendation of the treatment prescription based on the characteristic index and the characteristic matching of the prescription, and the specific method comprises the following steps:
in the prescription data set, forming the patient information key points and prescription components which are suggested by the prescription into a feature vector, and matching the feature vector with the patient to realize quick retrieval when the prescription is recommended; and when a doctor selects a specific patient, calculating the similarity of the characteristic vectors of the patient and the prescription, performing weighted calculation by combining the prescription utilization rate, and outputting the recommended prescription according to the similarity.
Preferably, the communication module processes video and audio data to be shared during mobile consultation on the basis of instant messaging, wherein original image data in the video is compressed by adopting H.264 coding, and audio sampling data is compressed by adopting AAC coding; then, the image is encoded by an encoder to generate a plurality of sections of GOPs, and when the GOPs are decoded, pictures are read and then rendered and displayed.
Preferably, the communication module is used for carrying out notification of live conference based on instant messaging and carrying out live conference by using H.264 and AAC compressed video audio.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: the novel coronavirus pneumonia disease prevention and control system based on the mobile internet is based on the mobile internet, data visualization and artificial intelligence technologies, patients can complete filling of disease state diary cards through mobile equipment, then the system collects the disease state diary cards, and community doctors can realize consultation services for multiple patients through a doctor supervision module. Through the classification of patients and the interactive discussion at any time, the workload of doctors on the aspect of patient classification and screening is greatly reduced. The system can realize the optimal use of medical resources, so that a doctor team can serve patients in the largest range, and efficient disease prevention and control are realized; the community-based non-contact doctor-patient communication service is realized, non-contact basic management of suspected, closely relieved and mild patients is realized, timely referral of severe patients is guaranteed, management of newly-treated coronary pneumonia patients after discharge is realized, the propagation path is cut off, and medical care personnel can be effectively protected. Therefore, the non-contact community prevention and control work is realized, and a community prevention and control mode for sudden major public health event intervention is explored.
Drawings
Fig. 1 is a block diagram of a structure of a novel coronavirus pneumonia disease prevention and control system based on a mobile internet according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
In this embodiment, the novel coronavirus pneumonia disease prevention and control system based on the mobile internet, as shown in fig. 1, includes a patient terminal module, a communication module, a doctor supervision module, and a government supervision module;
the patient terminal module mainly comprises an isolated patient, fills an illness state diary card through a built-in program of the mobile equipment, and transmits the illness state diary card to the doctor supervision module and the government supervision module through the communication module; the isolated patients comprise suspected patients, close contacts, mild patients and patients to be observed after treatment and discharge; the disease diary card includes a description of the patient's temperature, blood pressure, and physical condition.
The doctor supervision module takes community doctors as a main body, manages the illness state diary card transmitted by the patient terminal module, analyzes the illness state of the patient according to the content of the illness state diary card, and further determines whether to communicate online and recommend a treatment prescription; the doctor supervision module also realizes doctor-patient interaction, mobile consultation and conference live broadcast functions through the communication module; the doctor supervision module adopts a visual doctor-patient list and manages the states, files, conversation contents and illness state diary cards of doctor-patient instant messaging based on technologies such as xmpp, Presense, Openfire and the like; meanwhile, classifying the patients in the doctor-patient list by methods such as SVM and the like, for example: cardiovascular patients, epidemic risk factor patients, etc., giving physician work advice based on patient classification. In the process of doctor-patient communication, if prescription recommendation exists, the prescription can be indexed and matched based on the characteristics of the prescription, wherein an inverted index (inverted index) technology for prescription construction is derived from the field of document retrieval and is used for indexing and matching large-scale document data. The inverted index is widely applied to the field of similarity search. In the prescription data set, the patient information key points and prescription components suggested by the prescription can be formed into a feature vector for matching with the patient to realize quick retrieval when the prescription is recommended; and when a doctor selects a specific patient, calculating the similarity of the characteristic vectors of the patient and the prescription, performing weighted calculation by combining the prescription utilization rate, and outputting the recommended prescription according to the similarity. The doctor supervision module also shares the examination report of the case in real time and the like through RTMP and other live streaming protocols, so as to complete the mobile consultation of the key case.
The government monitoring module displays the epidemic situation live of the governed organization in real time through data visualization tools such as Gephi and the like, monitors the disease state diary card of the patient terminal module and the doctor diagnosis and treatment behavior of the doctor monitoring module, displays the real-time analysis results of various data such as an isolation log, doctor work and the like through a self-defined data report and visualization technology, provides a real-time epidemic situation map by combining L earlet, and displays the upgrade referral track of the patient and the like on the epidemic situation map.
Gephi is a cross-platform data visualization tool realized based on JVM, is suitable for expressing association relations such as complex networks, can realize dynamic combination interfaces and layered graphics based on Gephi, and is particularly suitable for: exploratory data analysis, link analysis, social network analysis, biological network analysis, and the like. And Gephi provides an open system interface and supports users to carry out secondary development, thereby realizing the customization of the workflow and the data display content. Based on the tool, the graphic mode of each prevention and control mechanism and the notification content can be customized by combining the prevention and control work focus of a specific region. The government supervision module also captures and integrates data of all levels of Weijian committee through network crawlers such as Nutch, scratch, Webcollector and the like, and then graphically displays the live epidemic situation, wherein the live data is displayed in a self-defined trend table.
The communication module processes video and audio data which need to be shared during mobile consultation on the basis of instant messaging, wherein original image data in the video are compressed by adopting H.264 coding, and audio sampling data are compressed by adopting AAC coding; then, the image is encoded by an encoder to generate a plurality of sections of GOPs, and when the GOPs are decoded, pictures are read and then rendered and displayed. The communication module is also used for carrying out notification of live conference based on instant messaging and carrying out live conference by using H.264 and AAC compressed video audio.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions and scope of the present invention as defined in the appended claims.
Claims (6)
1. A novel coronavirus pneumonia disease prevention and control system based on mobile internet is characterized in that: the system comprises a patient terminal module, a communication module, a doctor supervision module and a government supervision module;
the patient terminal module mainly comprises an isolated patient, fills an illness state diary card through a built-in program of the mobile equipment, and transmits the illness state diary card to the doctor supervision module and the government supervision module through the communication module; the doctor supervision module takes community doctors as a main body, manages the illness state diary card transmitted by the patient terminal module, analyzes the illness state of the patient according to the content of the illness state diary card, and further determines whether to communicate online and recommend a treatment prescription; the doctor supervision module also realizes doctor-patient interaction, mobile consultation and conference live broadcast functions through the communication module; the government supervision module displays the epidemic situation live condition of the organization in charge in real time through a visual tool and supervises the illness state diary card of the patient terminal module and the doctor diagnosis and treatment behavior of the doctor supervision module.
2. The system for preventing and controlling the coronavirus pneumonia disease based on the mobile internet according to claim 1, wherein: the isolated patients comprise suspected patients, close contacts, mild patients and patients to be observed after treatment and discharge; the disease diary card includes a description of the patient's temperature, blood pressure, and physical condition.
3. The system for preventing and controlling the coronavirus pneumonia disease based on the mobile internet according to claim 1, wherein: the doctor supervision module adopts a visual doctor-patient list to manage the status, files, conversation contents and illness state diary cards of doctor-patient instant messaging; meanwhile, the patients in the doctor-patient list are classified, and doctor work suggestions are given based on the patient classification.
4. The system for preventing and controlling the coronavirus pneumonia disease based on the mobile internet according to claim 1, wherein: the doctor supervision module completes recommendation of a treatment prescription based on the characteristic index and the characteristic matching of the prescription, and the specific method comprises the following steps:
in the prescription data set, forming the patient information key points and prescription components which are suggested by the prescription into a feature vector, and matching the feature vector with the patient to realize quick retrieval when the prescription is recommended; and when a doctor selects a specific patient, calculating the similarity of the characteristic vectors of the patient and the prescription, performing weighted calculation by combining the prescription utilization rate, and outputting the recommended prescription according to the similarity.
5. The system for preventing and controlling the coronavirus pneumonia disease based on the mobile internet according to claim 1, wherein: the communication module processes video and audio data which need to be shared during mobile consultation on the basis of instant messaging, wherein original image data in the video are compressed by adopting H.264 coding, and audio sampling data are compressed by adopting AAC coding; then, the image is encoded by an encoder to generate a plurality of sections of GOPs, and when the GOPs are decoded, pictures are read and then rendered and displayed.
6. The system for preventing and controlling the coronavirus pneumonia disease based on the mobile internet according to claim 1, wherein: the communication module is used for carrying out notification of live conference based on instant messaging and carrying out live conference by using H.264 and AAC compressed video audio.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010273103.0A CN111477348A (en) | 2020-04-09 | 2020-04-09 | Novel coronavirus pneumonia disease prevention and control system based on mobile internet |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010273103.0A CN111477348A (en) | 2020-04-09 | 2020-04-09 | Novel coronavirus pneumonia disease prevention and control system based on mobile internet |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111477348A true CN111477348A (en) | 2020-07-31 |
Family
ID=71751377
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010273103.0A Pending CN111477348A (en) | 2020-04-09 | 2020-04-09 | Novel coronavirus pneumonia disease prevention and control system based on mobile internet |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111477348A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112185577A (en) * | 2020-08-18 | 2021-01-05 | 同济大学 | College epidemic situation prevention and control-oriented daily position and travel data control method |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104965965A (en) * | 2014-04-28 | 2015-10-07 | 上海交通大学医学院附属瑞金医院卢湾分院 | Remote medical service platform |
CN105760705A (en) * | 2016-05-20 | 2016-07-13 | 陕西科技大学 | Medical diagnosis system based on big data |
CN105912847A (en) * | 2016-04-08 | 2016-08-31 | 北京阳光欣晴健康管理有限责任公司 | System for implementing coronary heart disease post-diagnosis management |
CN208111089U (en) * | 2017-11-16 | 2018-11-16 | 广东众意医疗科技有限公司 | A kind of diabetic's management monitoring system based on development of Mobile Internet technology |
EP3506305A1 (en) * | 2017-12-28 | 2019-07-03 | Ethicon LLC | Automated data scaling, alignment, and organizing based on predefined parameters within surgical networks |
CN110074756A (en) * | 2013-12-18 | 2019-08-02 | 哈特弗罗公司 | For the system and method according to the specific anatomical image data prediction coronary plaque vulnerability of patient |
-
2020
- 2020-04-09 CN CN202010273103.0A patent/CN111477348A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110074756A (en) * | 2013-12-18 | 2019-08-02 | 哈特弗罗公司 | For the system and method according to the specific anatomical image data prediction coronary plaque vulnerability of patient |
CN104965965A (en) * | 2014-04-28 | 2015-10-07 | 上海交通大学医学院附属瑞金医院卢湾分院 | Remote medical service platform |
CN105912847A (en) * | 2016-04-08 | 2016-08-31 | 北京阳光欣晴健康管理有限责任公司 | System for implementing coronary heart disease post-diagnosis management |
CN105760705A (en) * | 2016-05-20 | 2016-07-13 | 陕西科技大学 | Medical diagnosis system based on big data |
CN208111089U (en) * | 2017-11-16 | 2018-11-16 | 广东众意医疗科技有限公司 | A kind of diabetic's management monitoring system based on development of Mobile Internet technology |
EP3506305A1 (en) * | 2017-12-28 | 2019-07-03 | Ethicon LLC | Automated data scaling, alignment, and organizing based on predefined parameters within surgical networks |
Non-Patent Citations (3)
Title |
---|
余凤英: "《护理管理学》", 31 December 2003, 高等教育出版社, pages: 41 * |
南方财经全媒体集团: ""互联网企业可利用自身优势为防疫做出独特贡献", 《21世纪经济报道》, 12 February 2020 (2020-02-12) * |
陈敏: "5G移动缓存与大数据 5G移动缓存、通信与计算的融合", vol. 1, 华中科技大学出版社, pages: 195 - 198 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112185577A (en) * | 2020-08-18 | 2021-01-05 | 同济大学 | College epidemic situation prevention and control-oriented daily position and travel data control method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Taylor | Evaluating telemedicine systems and services | |
Hebert | Telehealth success: evaluation framework development | |
US20130035955A1 (en) | Method and System to deliver state of the art concierge medical services to healh care consumers via a control center and a network of mobile medical platforms | |
Parmanto et al. | Telerehabilitation: state-of-the-art from an informatics perspective | |
Chatterjee et al. | Internet of things and artificial intelligence in healthcare during covid-19 pandemic—a south american perspective | |
Stauss et al. | Opportunities in the cloud or pie in the sky? Current status and future perspectives of telemedicine in nephrology | |
Miller | The continuing need to investigate the nature and content of teleconsultation communication using interaction analysis techniques | |
Alanazi et al. | Identify the best alternatives to help the diffusion of teleconsultation by using the Hierarchical Decision Model (HDM) | |
CN117012364A (en) | Medical health service cloud platform based on industrial Internet technology | |
Wallace et al. | Telemedicine in the NHS for the millennium and beyond | |
CN111477348A (en) | Novel coronavirus pneumonia disease prevention and control system based on mobile internet | |
CN109637644A (en) | A kind of cerebral apoplexy data management system and management method based on mobile Internet | |
TW201501069A (en) | Telemedicine communication platform and data transmission system | |
Nandan et al. | Telemedicine (e-Health, m-Health): Requirements, challenges and applications | |
CN115312149A (en) | Medical information sharing method and system based on medical big data | |
Antohe et al. | Telemedicine: Good or bad and for whom? | |
Nair | The Scope and Functions of Health Information Management in e-Health | |
Liang et al. | Applications of digital health approaches for cardiometabolic diseases prevention and management in the Western Pacific region | |
Rolon et al. | Industry 4.0 In Modern Patient Management. | |
CN114496131B (en) | Family doctor informatization system | |
Apostolakis et al. | Decentralization of the Greek national telemedicine system | |
Yoo et al. | Development of ubiquitous health monitoring system | |
Chiang et al. | Telemedicine and telehealth | |
Yadav et al. | Artificial intelligence-assisted telemedicine | |
Gondil et al. | Stroke Healthcare System using (ANN) Artificial Neural Network |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200731 |
|
RJ01 | Rejection of invention patent application after publication |