CN102637291B - Mobile cloud and end internet of Things system and method adopting same - Google Patents
Mobile cloud and end internet of Things system and method adopting same Download PDFInfo
- Publication number
- CN102637291B CN102637291B CN201210109607.4A CN201210109607A CN102637291B CN 102637291 B CN102637291 B CN 102637291B CN 201210109607 A CN201210109607 A CN 201210109607A CN 102637291 B CN102637291 B CN 102637291B
- Authority
- CN
- China
- Prior art keywords
- module
- doctor
- medical
- information
- data
- 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.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title abstract description 6
- 238000005516 engineering process Methods 0.000 claims abstract description 34
- 238000004891 communication Methods 0.000 claims abstract description 8
- 230000003993 interaction Effects 0.000 claims abstract description 5
- 238000003745 diagnosis Methods 0.000 claims description 34
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 26
- 201000010099 disease Diseases 0.000 claims description 23
- 238000007726 management method Methods 0.000 claims description 10
- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 claims description 6
- 238000012856 packing Methods 0.000 claims description 6
- 230000001225 therapeutic effect Effects 0.000 claims description 6
- 208000024891 symptom Diseases 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 claims description 4
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 claims description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 238000012550 audit Methods 0.000 claims description 3
- 239000008280 blood Substances 0.000 claims description 3
- 210000004369 blood Anatomy 0.000 claims description 3
- 230000036772 blood pressure Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 239000008103 glucose Substances 0.000 claims description 3
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 238000013439 planning Methods 0.000 claims description 3
- 230000009325 pulmonary function Effects 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 210000000707 wrist Anatomy 0.000 claims description 3
- 239000000969 carrier Substances 0.000 abstract 1
- 239000003814 drug Substances 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 2
- 101100190466 Caenorhabditis elegans pid-3 gene Proteins 0.000 description 1
- 101000609957 Homo sapiens PTB-containing, cubilin and LRP1-interacting protein Proteins 0.000 description 1
- 102400000704 Intracellular domain 1 Human genes 0.000 description 1
- 101800001559 Intracellular domain 1 Proteins 0.000 description 1
- 102100039157 PTB-containing, cubilin and LRP1-interacting protein Human genes 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000011285 therapeutic regimen Methods 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
Landscapes
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention provides a mobile cloud and end internet of Things system which is characterized by comprising a detected client mobile user end, and a medicine center cloud end, wherein the medicine center cloud end receives data coming from the detected client mobile user end, packs and re-files filed data into different specialist physician reception modules; and the different specialist physician reception modules send data to different doctor mobile user ends. According to another technical scheme, the invention provides a classified treatment information generating method. According to the system and the method, three carriers: the client mobile user end, the medicine center cloud end and the doctor mobile user ends are used for constructing and assisting the current conventional electronic health medical system by establishing and managing a strong online database based on wireless communication network tele-interconnection of a mobile, online interaction of a Web page module, and a virtual cloud server technology, thus truly realizing instantaneity, precision, efficiency, stability, fidelity and safety of internet of Things medicine.
Description
Technical field
The present invention relates to a kind of method that mobile phone cloud adds end Internet of Things medical system and adopts this system.
Background technology
Lack accuracy, promptness and standardization for the symptom of individual consumers and the collection of medical history, thus cause delay diagnosis and the error diagnosis of numerous disease, this phenomenon is especially at the remote areas ubiquity such as rural area, mountain area.On the other hand, the independence of each medical centre and the limited space of available data library storage medical data, cause the medical information of client to there is necessarily ageing and easy loss.Secondly, as an importance of disease treatment, following up a case by regular visits to for result for the treatment of is the no-man's-land of medical profession clinical research and clinical practice all the time, limited due to manpower and financial resources, cannot realize the comprehensive of Clinical Follow-up and continuity.The birth of technology of Internet of things and clinical medical R. concomitans, make to realize the imagination of the instantaneity of Internet of Things medical science, accuracy, high efficiency, stability, fidelity and security, become possibility.
Summary of the invention
A kind of method that the object of this invention is to provide system in conjunction with mobile phone high in the clouds technology and technology of Internet of things and adopt this system medical.
In order to achieve the above object, a technical scheme of the present invention there is provided a kind of mobile phone cloud and adds end Internet of Things medical system, it is characterized in that, comprising:
Tested Client handset user side, it comprises healthy diary module, diagnosis records module, sensor assembly, medical technologies reporting modules, self-defined disease module and MAR module;
High in the clouds, medical center, it receives the data from tested Client handset user side, the data obtained by the disparate modules of tested Client handset user side have different module attributes, Data classification filing is performed tracker to clinic records system, electronics Medical history system, remote detecting system, medical technologies inspection center database, disease information hierarchies management system and doctor's advice according to this module attribute by high in the clouds, medical center, the packing of the data of filing, according to data staging diagnosis information, is filed and to be seen and treated patients module in different specialists by each system again;
Data are issued different doctor cellphone subscriber end by different specialists module of seeing and treating patients, specialty diagnosis is carried out by doctor cellphone subscriber end by doctor, and submitted virtual multistagely to make the rounds of the wards step by step, realize Two-way Feedback simultaneously, and decision-making last diagnostic and therapeutic scheme.
Preferably, described healthy diary module, for recording symptom, habits and customs, the physical exertion of common disease and treating bad reaction, simultaneously by WAP function, realizes with network carrier WEB2.0 interactive; Described diagnosis records module is used for the interlock of described clinic records system, has access to outpatient service and medical history of being in hospital; The wireless pulmonary function that described sensor assembly comprises based on mobile phone surveys amount instrument module, wireless finger tip oxygen saturation instrument module, wireless multi-lead sleep-respiratory physiological monitor module, wireless electrocardio sensing instrument module, nothing wound Wrist belt-type blood pressure instrument module and bluetooth Fingertip blood glucose monitor module; Described medical technologies reporting modules is used for automatically generating the Surveillance of described sensor assembly, outpatient service and while in hospital medical technologies audit report and trend map, check planning chart and normal reference value, what described self-defined disease module comprised that client or family physician arrange has high risk factor disorder in screening module, there is prompting monitoring index, the suggestion of avoidable high risk factor is provided simultaneously; The doctor's advice observation system that described MAR module and high in the clouds, described medical center and described doctor cellphone subscriber hold links, and comprises MAR and to upload and doctor's advice adjustment upgrades.
Preferably, described sensor assembly is installed in the daily mobile phone of tested client or in hospital outpatient or Hospitalization environment and uses.
Preferably, described doctor cellphone subscriber end is containing electronic checklist analytic system, family physician's consultation system, teledata browing system, medical technologies browsing data system, clinical path executive system and doctor's advice observation system.
Another technical scheme of the present invention there is provided a kind of classification diagnosis information production method adopting said system, and it is characterized in that, step is:
The first step: the healthy diary module in tested Client handset user side, diagnosis records module, sensor assembly, medical technologies reporting modules, self-defined disease module, MAR module recorded data login Web page module by cordless communication network is long-range, sends information that is instant, continuous, accurate, fidelity with the pattern of online interaction to high in the clouds, medical center;
Second step: high in the clouds, medical center is performed tracker by wireless network carry out seamless link with based on the clinic records system of hospital internal Ethernet, WLAN (wireless local area network) and GSM network, electronics Medical history system, remote detecting system, medical technologies inspection center database, disease information hierarchies management system, doctor's advice, files in different system by information with the form of packet by module attribute;
3rd step: the powerful online database based on virtual cloud server technology is set up and management, each packet is filed again according to the packing of classification diagnosis information and to see and treat patients module data bag in the different specialists CMOS macro cell specialist that sees and treat patients, wherein, information that classification diagnosis information comprises ICD classification of diseases information, specialty diagnosis system information, specialist see and treat patients information and three grades of doctors make the rounds of the wards;
4th step: different specialists sees and treat patients the corresponding different doctor cellphone subscribers end of module, each doctor cellphone subscriber end is containing electronic checklist analytic system, family physician's consultation system, teledata browing system, medical technologies browsing data system, clinical path executive system, doctor's advice observation system, each doctor to see and treat patients module data bag for the specialist received, carry out specialty diagnosis, and submitted virtual multistagely to make the rounds of the wards step by step, realize Two-way Feedback simultaneously, and decision-making last diagnostic and therapeutic scheme.
The present invention uses Client handset user side, medical centre high in the clouds and doctor cellphone subscriber hold three Component Vectors, by relating in the module of end and cloud service terminal at each, be provided with and comprise symptom, medical history, online physiological parameter measurement, medical technologies record, inline diagnosis is analyzed, the 6 large modules such as therapeutic regimen guidance interconnected, by based on mobile phone wireless communication network Long-range links, the powerful online database of the online interaction of Web page module and virtual cloud server technology is set up and management, build and assist current existing electronic health care medical system, really realize the instantaneity of Internet of Things medical science, accuracy, high efficiency, stability, fidelity and security.
Accompanying drawing explanation
Fig. 1 is the block diagram that a kind of mobile phone cloud provided by the invention adds end Internet of Things medical system;
Fig. 2 is the schematic diagram of classification diagnosis information production method.
Embodiment
For making the present invention become apparent, hereby with a preferred embodiment, and accompanying drawing is coordinated to be described in detail below.
As shown in Figure 1, the invention provides a kind of mobile phone cloud and add end Internet of Things medical system, it comprises tested Client handset user side (100), high in the clouds, medical center (200) and doctor cellphone subscriber end (300).
Wherein, tested Client handset user side (100) comprises healthy diary module (101), diagnosis records module (102), sensor assembly (103), medical technologies reporting modules (104), self-defined disease module (105) and MAR module (106).Described healthy diary module (101), for recording symptom, habits and customs, the physical exertion of common disease and treating bad reaction, simultaneously by WAP function, realizes with network carrier WEB2.0 interactive; Described diagnosis records module (102) for the interlock of described clinic records system (201), have access to outpatient service and medical history of being in hospital; Described sensor assembly (103) is installed in the daily mobile phone of tested client or in hospital outpatient or Hospitalization environment and uses, and the wireless pulmonary function comprised based on mobile phone surveys amount instrument module, wireless finger tip oxygen saturation instrument module, wireless multi-lead sleep-respiratory physiological monitor module, wireless electrocardio sensing instrument module, nothing wound Wrist belt-type blood pressure instrument module and bluetooth Fingertip blood glucose monitor module; Described medical technologies reporting modules (104) is for automatically generating the Surveillance of described sensor assembly (103), outpatient service and while in hospital medical technologies audit report and trend map, check planning chart and normal reference value, what described self-defined disease module (105) comprised that client or family physician arrange has high risk factor disorder in screening module, there is prompting monitoring index, the suggestion of avoidable high risk factor is provided simultaneously; Described MAR module (106) holds the doctor's advice observation system of (300) to link with high in the clouds, described medical center (200) and described doctor cellphone subscriber, comprises MAR and uploads and doctor's advice adjustment renewal.
High in the clouds, medical center (200), it receives the data from tested Client handset user side (100) by communication link 12, the data obtained by the disparate modules of tested Client handset user side (100) have different module attributes, Data classification is filed to clinic records system (201) according to this module attribute by high in the clouds, medical center (200), electronics Medical history system (202), remote detecting system (203), medical technologies inspection center database (204), disease information hierarchies management system (205) and doctor's advice perform tracker (206), each system is according to data staging diagnosis information, the packing of the data of filing is filed again and to see and treat patients module in different specialists,
Data to be issued different doctor cellphone subscribers end (300) by communication link 23 by different specialists module of seeing and treating patients, doctor cellphone subscriber end (300) also receives by communication link 13 data that tested Client handset user side (100) sends over, (300) are held to carry out specialty diagnosis by doctor by doctor cellphone subscriber, and submitted virtual multistagely to make the rounds of the wards step by step, realize Two-way Feedback simultaneously, and decision-making last diagnostic and therapeutic scheme.Doctor cellphone subscriber end (300) is containing electronic checklist analytic system (301), family physician's consultation system (302), teledata browing system (303), medical technologies browsing data system (304), clinical path executive system (305) and doctor's advice observation system (306).
Composition graphs 2, for adopting the classification diagnosis information production method of said system, in fig. 2, PID1 to PID3 represents 3 different tested Client handset user sides (100), ICD1 to ICD6 represents that 6 different specialists see and treat patients module, DID11 to DID16 represents that 6 doctor cellphone subscribers seen and treated patients corresponding to module with specialist hold (300), the steps include:
The first step: the healthy diary module (101) in tested Client handset user side (100), diagnosis records module (102), sensor assembly (103), medical technologies reporting modules (104), self-defined disease module (105), MAR module (106) recorded data login Web page module by cordless communication network is long-range, sends information that is instant, continuous, accurate, fidelity with the pattern of online interaction to high in the clouds, medical center (200);
Second step: high in the clouds, medical center (200) are performed tracker (206) by wireless network carry out seamless link with based on the clinic records system (201) of hospital internal Ethernet, WLAN (wireless local area network) and GSM network, electronics Medical history system (202), remote detecting system (203), medical technologies inspection center database (204), disease information hierarchies management system (205), doctor's advice, file in different system by information with the form of packet by module attribute;
3rd step: the powerful online database based on virtual cloud server technology is set up and management, each packet is filed again according to the packing of classification diagnosis information and to see and treat patients module data bag in the different specialists CMOS macro cell specialist that sees and treat patients, wherein, information that classification diagnosis information comprises ICD classification of diseases information, specialty diagnosis system information, specialist see and treat patients information and three grades of doctors make the rounds of the wards;
4th step: different specialists sees and treat patients corresponding different doctor cellphone subscriber end (300) of module, each doctor cellphone subscriber end (300) is containing electronic checklist analytic system (301), family physician's consultation system (302), teledata browing system (303), medical technologies browsing data system (304), clinical path executive system (305), doctor's advice observation system (306), each doctor to see and treat patients module data bag for the specialist received, carry out specialty diagnosis, and submitted virtual multistagely to make the rounds of the wards step by step, realize Two-way Feedback simultaneously, and decision-making last diagnostic and therapeutic scheme.
Claims (2)
1. mobile phone cloud adds an end Internet of Things medical system, it is characterized in that, comprising:
Tested Client handset user side (100), it comprises healthy diary module (101), diagnosis records module (102), sensor assembly (103), medical technologies reporting modules (104), self-defined disease module (105) and MAR module (106);
High in the clouds, medical center (200), it receives the data from tested Client handset user side (100), the data obtained by the disparate modules of tested Client handset user side (100) have different module attributes, Data classification is filed to clinic records system (201) according to this module attribute by high in the clouds, medical center (200), electronics Medical history system (202), remote detecting system (203), medical technologies inspection center database (204), disease information hierarchies management system (205) and doctor's advice perform tracker (206), each system is according to data staging diagnosis information, the packing of the data of filing is filed again and to see and treat patients module in different specialists,
Data are issued different doctor cellphone subscriber end (300) by different specialists module of seeing and treating patients, (300) are held to carry out specialty diagnosis by doctor by doctor cellphone subscriber, and submitted virtual multistagely to make the rounds of the wards step by step, realize Two-way Feedback simultaneously, and decision-making last diagnostic and therapeutic scheme;
Described healthy diary module (101), for recording symptom, habits and customs, the physical exertion of common disease and treating bad reaction, simultaneously by WAP function, realizes with network carrier WEB2.0 interactive; Described diagnosis records module (102) for the interlock of described clinic records system (201), have access to outpatient service and medical history of being in hospital; The wireless pulmonary function that described sensor assembly (103) comprises based on mobile phone surveys amount instrument module, wireless finger tip oxygen saturation instrument module, wireless multi-lead sleep-respiratory physiological monitor module, wireless electrocardio sensing instrument module, nothing wound Wrist belt-type blood pressure instrument module and bluetooth Fingertip blood glucose monitor module; Described medical technologies reporting modules (104) is for automatically generating the Surveillance of described sensor assembly (103), outpatient service and while in hospital medical technologies audit report and trend map, check planning chart and normal reference value, what described self-defined disease module (105) comprised that client or family physician arrange has high risk factor disorder in screening module, there is prompting monitoring index, the suggestion of avoidable high risk factor is provided simultaneously; Described MAR module (106) holds the doctor's advice observation system of (300) to link with high in the clouds, described medical center (200) and described doctor cellphone subscriber, comprises MAR and uploads and doctor's advice adjustment renewal;
Described sensor assembly (103) is installed in the daily mobile phone of tested client or in hospital outpatient or Hospitalization environment and uses;
Described doctor cellphone subscriber end (300) is containing electronic checklist analytic system (301), family physician's consultation system (302), teledata browing system (303), medical technologies browsing data system (304), clinical path executive system (305) and doctor's advice observation system (306).
2. adopt a classification diagnosis information production method for system as claimed in claim 1, it is characterized in that, step is:
The first step: the healthy diary module (101) in tested Client handset user side (100), diagnosis records module (102), sensor assembly (103), medical technologies reporting modules (104), self-defined disease module (105), MAR module (106) recorded data login Web Web page module by cordless communication network is long-range, sends information that is instant, continuous, accurate, fidelity with the pattern of online interaction to high in the clouds, medical center (200);
Second step: high in the clouds, medical center (200) are performed tracker (206) by wireless network carry out seamless link with based on the clinic records system (201) of hospital internal Ethernet, WLAN (wireless local area network) and GSM network, electronics Medical history system (202), remote detecting system (203), medical technologies inspection center database (204), disease information hierarchies management system (205), doctor's advice, file in different system by information with the form of packet by module attribute;
3rd step: the powerful online database based on virtual cloud server technology is set up and management, each packet is filed again according to the packing of classification diagnosis information and to see and treat patients module data bag in the different specialists CMOS macro cell specialist that sees and treat patients, wherein, information that classification diagnosis information comprises ICD classification of diseases information, specialty diagnosis system information, specialist see and treat patients information and three grades of doctors make the rounds of the wards;
4th step: different specialists sees and treat patients corresponding different doctor cellphone subscriber end (300) of module, each doctor cellphone subscriber end (300) is containing electronic checklist analytic system (301), family physician's consultation system (302), teledata browing system (303), medical technologies browsing data system (304), clinical path executive system (305), doctor's advice observation system (306), each doctor to see and treat patients module data bag for the specialist received, carry out specialty diagnosis, and submitted virtual multistagely to make the rounds of the wards step by step, realize Two-way Feedback simultaneously, and decision-making last diagnostic and therapeutic scheme.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210109607.4A CN102637291B (en) | 2012-04-16 | 2012-04-16 | Mobile cloud and end internet of Things system and method adopting same |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210109607.4A CN102637291B (en) | 2012-04-16 | 2012-04-16 | Mobile cloud and end internet of Things system and method adopting same |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102637291A CN102637291A (en) | 2012-08-15 |
CN102637291B true CN102637291B (en) | 2015-05-20 |
Family
ID=46621677
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201210109607.4A Expired - Fee Related CN102637291B (en) | 2012-04-16 | 2012-04-16 | Mobile cloud and end internet of Things system and method adopting same |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102637291B (en) |
Families Citing this family (26)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10911515B2 (en) | 2012-05-24 | 2021-02-02 | Deka Products Limited Partnership | System, method, and apparatus for electronic patient care |
US20110313789A1 (en) | 2010-01-22 | 2011-12-22 | Deka Products Limited Partnership | Electronic patient monitoring system |
US11244745B2 (en) | 2010-01-22 | 2022-02-08 | Deka Products Limited Partnership | Computer-implemented method, system, and apparatus for electronic patient care |
US11164672B2 (en) | 2010-01-22 | 2021-11-02 | Deka Products Limited Partnership | System and apparatus for electronic patient care |
US11881307B2 (en) | 2012-05-24 | 2024-01-23 | Deka Products Limited Partnership | System, method, and apparatus for electronic patient care |
US10453157B2 (en) | 2010-01-22 | 2019-10-22 | Deka Products Limited Partnership | System, method, and apparatus for electronic patient care |
US11210611B2 (en) | 2011-12-21 | 2021-12-28 | Deka Products Limited Partnership | System, method, and apparatus for electronic patient care |
CN102904932A (en) * | 2012-09-19 | 2013-01-30 | 德赛电子(惠州)有限公司 | Mobile terminal health information acquisition and health analytical method based on cloud computing |
CN102890752A (en) * | 2012-10-08 | 2013-01-23 | 盛煜光 | Telemedicine service system based on cloud technology |
NZ747951A (en) * | 2012-12-21 | 2020-08-28 | Deka Products Lp | Drug error reduction system |
CN103268349A (en) * | 2013-05-29 | 2013-08-28 | 美合实业(苏州)有限公司 | Central clinical case database system based on cloud services |
KR20150010255A (en) * | 2013-07-18 | 2015-01-28 | 삼성전자주식회사 | Apparatus for diagnostic using habit and mathod for diagnostic of thereof |
CN103336845A (en) * | 2013-07-19 | 2013-10-02 | 广州天健科技开发有限公司 | Method and system for recording movement of slow disease patient and follow-up visit |
CN105354428A (en) * | 2015-11-19 | 2016-02-24 | 小红象医疗科技有限公司 | Graded diagnosis and treatment guide system and method based on infrared medical image |
CN106909766B (en) * | 2015-12-18 | 2019-06-07 | 中国移动通信集团公司 | A kind of information processing method and electronic equipment |
CN105426699A (en) * | 2016-01-21 | 2016-03-23 | 四川东鼎里智信息技术有限责任公司 | Physiological data collecting and processing method |
CN105678670A (en) * | 2016-03-21 | 2016-06-15 | 中国人民解放军第三军医大学第一附属医院 | Novel multifunctional guide device |
CN106127646A (en) * | 2016-07-15 | 2016-11-16 | 佛山科学技术学院 | The monitoring system of a kind of recovery period data and monitoring method |
CN106127647A (en) * | 2016-07-18 | 2016-11-16 | 达州市居家养老服务中心 | A kind of data service platform |
CN106778038A (en) * | 2017-01-18 | 2017-05-31 | 泰康保险集团股份有限公司 | Medical institutions' system of selection and device |
CN107645563B (en) * | 2017-10-23 | 2021-05-11 | 广州云新信息技术有限公司 | Internet of things communication method and system of medical test equipment |
CN108830034B (en) * | 2018-05-25 | 2021-07-20 | 陈育聪 | Medicine clinical research and development information processing system and method |
CN112912963A (en) * | 2018-10-16 | 2021-06-04 | 皇家飞利浦有限公司 | System and method for visit document automation and billing code suggestion in a controlled environment |
CN109686430A (en) * | 2018-12-21 | 2019-04-26 | 宜宝科技(北京)有限公司 | Inspection report processing method and processing device for doctor terminal |
CN110384501A (en) * | 2019-07-16 | 2019-10-29 | 广州红象医疗科技有限公司 | Pulmonary function monitoring system |
CN115242831A (en) * | 2022-06-17 | 2022-10-25 | 上海速仁电子科技发展有限公司 | Intelligent ward round monitor and intelligent ward round system for Internet of things |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1481138A (en) * | 2002-07-17 | 2004-03-10 | �ֹ��� | Medical information provider and portable telephone |
CN101727532A (en) * | 2008-10-14 | 2010-06-09 | 邱小益 | Health management system and method based on Internet |
CN101840459A (en) * | 2009-03-20 | 2010-09-22 | 天津佳医在线科技有限公司 | Medical information interacting and management system with multiple platforms |
-
2012
- 2012-04-16 CN CN201210109607.4A patent/CN102637291B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1481138A (en) * | 2002-07-17 | 2004-03-10 | �ֹ��� | Medical information provider and portable telephone |
CN101727532A (en) * | 2008-10-14 | 2010-06-09 | 邱小益 | Health management system and method based on Internet |
CN101840459A (en) * | 2009-03-20 | 2010-09-22 | 天津佳医在线科技有限公司 | Medical information interacting and management system with multiple platforms |
Non-Patent Citations (1)
Title |
---|
基于物联网的远程健康监护服务系统设计与实现;周红;《中国优秀硕士学位全文数据库 信息科技辑》;20120215;第26-55页 * |
Also Published As
Publication number | Publication date |
---|---|
CN102637291A (en) | 2012-08-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102637291B (en) | Mobile cloud and end internet of Things system and method adopting same | |
Aghdam et al. | The role of the Internet of Things in healthcare: Future trends and challenges | |
Aceto et al. | The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges | |
Istepanian et al. | M-health: Emerging mobile health systems | |
Nedungadi et al. | Personalized health monitoring system for managing well-being in rural areas | |
Benharref et al. | Novel cloud and SOA-based framework for E-Health monitoring using wireless biosensors | |
US7996074B2 (en) | System and method for providing closely-followed cardiac therapy management through automated patient care | |
Dineshkumar et al. | Big data analytics of IoT based Health care monitoring system | |
Pawar et al. | A framework for the comparison of mobile patient monitoring systems | |
Zhang et al. | QT-interval duration and mortality rate: results from the Third National Health and Nutrition Examination Survey | |
Jones et al. | Mobihealth: Mobile health services based on body area networks | |
Wongvibulsin et al. | Connected health technology for cardiovascular disease prevention and management | |
WO2018128927A1 (en) | Hierarchical health decision support system and method | |
Gupta et al. | Body area networks: Safety, security, and sustainability | |
CN107092799B (en) | Vital sign data management system and method based on cloud computing | |
Hughes et al. | Wearable devices in cardiovascular medicine | |
US20230414151A1 (en) | Mobile electrocardiogram system | |
Osama et al. | Internet of medical things and healthcare 4.0: Trends, requirements, challenges, and research directions | |
Serhani et al. | SME2EM: Smart mobile end-to-end monitoring architecture for life-long diseases | |
Akrivopoulos et al. | Utilising fog computing for developing a person-centric heart monitoring system | |
WO2014058802A1 (en) | Systems and methods for device and meter monitoring | |
Jara et al. | Communication protocol for enabling continuous monitoring of elderly people through near field communications | |
Prasath et al. | Cloud Server Based Intelligent Health Care Kit using Body Sensor Network | |
Pathinarupothi et al. | Data to diagnosis in global health: a 3P approach | |
Sharma et al. | Mobile healthcare (m‐Health) based on artificial intelligence in healthcare 4.0 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150520 Termination date: 20190416 |
|
RR01 | Reinstatement of patent right | ||
RR01 | Reinstatement of patent right |
Former decision: termination of patent right due to unpaid annual fee Former decision publication date: 20200403 |
|
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150520 |