CN107610763A - AI interface platforms and its application process, AI application systems - Google Patents
AI interface platforms and its application process, AI application systems Download PDFInfo
- Publication number
- CN107610763A CN107610763A CN201710811008.XA CN201710811008A CN107610763A CN 107610763 A CN107610763 A CN 107610763A CN 201710811008 A CN201710811008 A CN 201710811008A CN 107610763 A CN107610763 A CN 107610763A
- Authority
- CN
- China
- Prior art keywords
- information
- systems
- interface
- platforms
- terminal
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 10
- 230000008569 process Effects 0.000 title claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims abstract description 25
- 230000003993 interaction Effects 0.000 claims description 3
- 238000013473 artificial intelligence Methods 0.000 description 117
- 230000005540 biological transmission Effects 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 5
- 230000003902 lesion Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 230000010354 integration Effects 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 238000003745 diagnosis Methods 0.000 description 2
- 238000003032 molecular docking Methods 0.000 description 2
- 208000034657 Convalescence Diseases 0.000 description 1
- 238000012356 Product development Methods 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 230000005311 nuclear magnetism Effects 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- 210000004224 pleura Anatomy 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
Landscapes
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention provides AI interface platforms and its application process, AI application systems, AI interface platforms include raw information reception system, AI information output systems, AI information input systems and AI application platform terminals, and raw information reception system receives the patient information for coming from raw information generation system；AI information output systems obtain patient information from raw information reception system and are sent to third party's AI systems；AI information input systems obtain analysis result from third party AI systems；AI application platforms terminal is also connected with hospital existing information-based terminal, realizes the information exchange between AI interface platforms and information-based terminal.The present invention can be realized by establishing AI interface platforms：AI interface platforms dock with hospital's existing system；Unified displaying interface is provided：Multiple third party AI systems output results are shown on an interface；Once docked with the existing software systems of doctor；One sets of data uses for multiple systems；Reduce patient information and repeatedly transmit problem.
Description
Technical field
The present invention relates to the technical field of artificial intelligence application, more particularly to AI interface platforms and its application process, AI should
Use system.
Background technology
With the development of artificial intelligence technology, AI (Artificial Intelligence) applications are also more and more wider.Manually
The development of intellectual technology has incorporated China's national planning, strives making the important drive of new round science and technology and industry transformation
Power.Also there is the company of many artificial intelligence in medical field.Each Products have specific application field, such as certain
One section office, certain a kind of disease etc..Artificial intelligence analysis needs to obtain initial data from hospital's existing information system, passes through analysis
After return result to doctor.
The field being directed to due to different company's product it is different, it is necessary to data also differ.And patient-relevant informa is usual
It is stored in the different software systems of hospital.Such as；Irradiation image information is stored in PACS system, and assay is stored in LIS
In system, hospitalization information is stored in emr system, etc..The problem of presently, there are has：
A) each artificial intelligent artifact is needed according to self-demand, it is necessary to dock multiple systems, and each system docking needs
Develop a set of information interactive interface.If multiple artificial intelligence products access, then hospital system provider is needed for every
Individual interface of product development.An interface is often developed, hospital needs to pay certain R ＆ D Cost.Hospital financial burden weight,
And product is reached the standard grade using time-consuming.
B) each artificial intelligent artifact has the terminal of oneself to carry out analysis result displaying.Doctor is using different product
When, it is necessary to be switched between different software.Every time after switching, it is required for input patient information to be inquired about, to find expection
As a result.In real work, the work of doctor can be very cumbersome, and efficiency is low, can also hinder artificial intelligence in medical field
Promote.
C) each artificial intelligence product has oneself independent storage system, causes the repetition of data to store.
D) patient information is called by different product it is necessary to once be transmitted.If many patient informations are different simultaneously
Product is called it is necessary to there is the information largely repeated to be transmitted in network, causes network congestion.
The content of the invention
It is an object of the invention to provide AI interface platforms and its application process, AI application systems, it is intended to solves existing use
The development cost caused by the artificial intelligence technology of medical system needs to dock multiple systems is high, displaying terminal differs, data weight
The problem of multiple storage and information repeat to call.
The technical solution adopted for the present invention to solve the technical problems is：
A kind of AI interface platforms, including raw information reception system, AI information output systems, AI information input systems and AI
Application platform terminal, wherein：
Raw information generation system, raw information reception system, AI information output systems, third party AI systems, AI information
Input system connects with AI application platform terminal orders；
Raw information reception system is used to receive the patient information for coming from raw information generation system；
AI information output systems are used to obtain patient information from raw information reception system and are sent to third party's AI systems；
AI information input systems are used to obtain analysis result from third party AI systems；
AI application platforms terminal is also connected with hospital existing information-based terminal, for realizing AI interface platforms and informationization
Information exchange between terminal.
On the basis of above-described embodiment, further, raw information reception system, AI information output systems, AI information
Input system is arranged on server end, and AI application platforms terminal is arranged on doctor terminal；Between doctor terminal and server end
Connection framework is C/S frameworks, B/S frameworks or mixed architecture.
On the basis of above-mentioned any embodiment, further, patient information includes image category information and structuring word
Category information.
On the basis of above-mentioned any embodiment, further, analysis result includes image AI analysis results and clinical AI
Analysis result.
A kind of application process of AI interface platforms in any of the above-described embodiment, including：
Raw information receiving step：Raw information reception system receives the patient's letter for coming from raw information generation system
Breath；AI information output systems obtain patient information from raw information reception system and are sent to third party's AI systems；
Analysis result obtaining step：AI information input systems obtain analysis result from third party AI systems；
Terminal interaction step：AI application platforms terminal is also connected with hospital existing information-based terminal, realizes that AI interfaces are put down
Information exchange between platform and information-based terminal.
A kind of AI application systems, including AI interface platforms in any of the above-described embodiment, raw information generation system and
Third party's AI systems.
The beneficial effects of the invention are as follows：
The invention provides AI interface platforms and its application process, AI application systems, by establishing AI interface platforms, realize
Artificial intelligence application product and hospital's existing system docking, can be realized：
A) Data Integration；AI interface platforms with hospital existing system once completely dock, and get initial data, and
For third party's AI systems with data, trouble caused by repeatedly being docked with hospital information system is avoided；
B) unified displaying interface is provided：Multiple third party AI systems output results are shown on an interface, kept away
Exempt from the trouble that doctor brings in multiple intersystem handovers, and more fully information can be seen in doctor, more intuitively；
C) once docked with the existing software systems of doctor, AI interface platforms displaying interface can be directly invoked, improve doctor
Raw operating efficiency；
D) used by a sets of data for multiple systems, improve data user rate, reduce invalid storage；
E) reduce patient information and repeatedly transmit problem, reduce network transmission pressure.
Brief description of the drawings
The present invention is further described with reference to the accompanying drawings and examples.
Fig. 1 shows a kind of structural representation of AI interface platforms provided in an embodiment of the present invention；
Fig. 2 shows a kind of schematic flow sheet of the application process of AI interface platforms provided in an embodiment of the present invention；
Fig. 3 shows a kind of structural representation of AI application systems provided in an embodiment of the present invention.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the present invention, not
Limit the present invention.
Specific embodiment one
To believe as shown in figure 1, the embodiments of the invention provide a kind of AI interface platforms, including raw information reception system, AI
Output system, AI information input systems and AI application platform terminals are ceased, wherein：
Raw information generation system, raw information reception system, AI information output systems, third party AI systems, AI information
Input system connects with AI application platform terminal orders；
Raw information reception system is used to receive the patient information for coming from raw information generation system；
AI information output systems are used to obtain patient information from raw information reception system and are sent to third party's AI systems；
AI information input systems are used to obtain analysis result from third party AI systems；
AI application platforms terminal is also connected with hospital existing information-based terminal, for realizing AI interface platforms and informationization
Information exchange between terminal.
This AI interface platforms can include raw information reception system, AI information output systems, AI information input systems and
AI application platform terminals.
Wherein, raw information reception system, AI information output systems, AI information input systems may be mounted at server
End, server can be centralization or distribution, can be deployed in LAN, the interconnection of on internet or part local area network part
Net.AI application platform terminals may be mounted at doctor terminal.Doctor terminal can be computer, the phase such as smart mobile phone or tablet personal computer
Close carrier.It can be C/S frameworks, B/S frameworks or mixed architecture that doctor terminal connects with server.
The embodiment of the present invention is not limited raw information reception system, and it is used for receiving from raw information generation system
Patient information, can be according to different data format and content, using different reception modes.Raw information generation system can wrap
Include HIS systems (Hospital information system hospital information systems), emr system (Electronic Medical
Record electronic medical record systems), LIS systems (Laboratory Information System laboratory information systems), PACS
System (Picture Archiving and Communication Systems image archivings and communication system), CIS systems
(Clinical Information System clinic information systems) and other systems.
The information type that the embodiment of the present invention is received to raw information reception system does not limit, it is preferred that original letter
The information that breath reception system receives can be divided into image class and structuring word class.
Image category information in the embodiment of the present invention can be produced (such as by auxiliary examination equipment：CT, nuclear-magnetism, ultrasound, pathology
Deng), reception is mainly received by several ways：
I. standard DICOM (Digital Image and Communications in Medical Digital imaging in medicine with
Communication) interface：Meet DICOM3.0 protocol devices output images for receiving, image can be single image, multiple images or more
Frame can continuously play video image, and the interface is international interface, and most of image documentation equipment all possesses；
Ii. video acquisition receives (is used for gathering the single frames figure that can be exported by video output interface by video frequency collection card
Picture can continuously play video image)；
Iii. file transmission (transmission standard static image file, such as：Bmp, jpeg etc.；Also dynamic play video can be transmitted
File, such as：Mp4, avi etc.).
Structuring text information in the embodiment of the present invention is mainly by clinic information system, such as：HIS, EMR etc., and part
Auxiliary departments, such as：Clinical laboratory LIS etc. is produced, and reception is mainly received by several ways：
I.HL7 interfaces：The interface is one of international interface mode；
Ii. other provisioning interfaces：Row information reception can be entered by the self defined interface such as ftp, web service；
The embodiment of the present invention is not limited AI information output systems, and it is used to patient-relevant informa being sent to third party
AI systems, it can be active push or file an application passively to transmit according to third party's AI systems.Preferably, information transmission mode with
It is consistent that raw information receives mode.
The embodiment of the present invention is not limited AI information input systems, and it is used for the analysis knot for receiving third party's AI systems
Fruit.AI information input systems mainly receive the analysis result of third party's AI systems by self defined interface.
The embodiment of the present invention is not limited AI application platforms terminal, and it is applicable to windows, MAC, IOS,
The different systems such as Android, by with hospital existing information terminal (such as：HIS terminals, RIS terminals, EMR terminals etc.) connect
Mouth carries out parameter transmission (such as：Patient's outpatient service number, admission number, picture number etc.), and can key calling.
The embodiment of the present invention realizes artificial intelligence application product and hospital's existing system pair by establishing AI interface platforms
Connect, can realize：
A) Data Integration；AI interface platforms with hospital existing system once completely dock, and get initial data, and
For third party's AI systems with data, trouble caused by repeatedly being docked with hospital information system is avoided；
B) unified displaying interface is provided：Multiple third party AI systems output results are shown on an interface, kept away
Exempt from the trouble that doctor brings in multiple intersystem handovers, and more fully information can be seen in doctor, more intuitively；
C) once docked with the existing software systems of doctor, AI interface platforms displaying interface can be directly invoked, improve doctor
Raw operating efficiency；
D) used by a sets of data for multiple systems, improve data user rate, reduce invalid storage；
E) reduce patient information and repeatedly transmit problem, reduce network transmission pressure.
Specific embodiment two
As shown in Fig. 2 the embodiments of the invention provide a kind of application process of the AI interface platforms in specific embodiment one,
Including：
Raw information receiving step S101：Raw information reception system receives the patient for coming from raw information generation system
Information；AI information output systems obtain patient information from raw information reception system and are sent to third party's AI systems；
Analysis result obtaining step S102：AI information input systems obtain analysis result from third party AI systems；
Terminal interaction step S103：AI application platforms terminal is also connected with hospital existing information-based terminal, realizes that AI connects
Information exchange between mouth platform and information-based terminal.
The embodiment of the present invention realizes artificial intelligence application product and hospital's existing system pair by establishing AI interface platforms
Connect, can realize：
A) Data Integration；AI interface platforms with hospital existing system once completely dock, and get initial data, and
For third party's AI systems with data, trouble caused by repeatedly being docked with hospital information system is avoided；
B) unified displaying interface is provided：Multiple third party AI systems output results are shown on an interface, kept away
Exempt from the trouble that doctor brings in multiple intersystem handovers, and more fully information can be seen in doctor, more intuitively；
C) once docked with the existing software systems of doctor, AI interface platforms displaying interface can be directly invoked, improve doctor
Raw operating efficiency；
D) used by a sets of data for multiple systems, improve data user rate, reduce invalid storage；
E) reduce patient information and repeatedly transmit problem, reduce network transmission pressure.
Specific embodiment three
As shown in figure 3, the embodiments of the invention provide a kind of AI application systems, including the AI interfaces in specific embodiment one
Platform 301, raw information generation system 302 and third party AI systems 303.
The embodiment of the present invention is not limited third party AI systems 303, it is preferred that according to different information, third party AI systems
The analysis result that system 303 obtains can be divided into image class and text information class.Each category information can all be divided into three-level.
For example, image AI analysis results, according to institute's Information situation, can be divided into 3 grades of results：
I. the first order：Lesion locations are only pointed out, any analysis information is not provided；
Ii. the second level：Lesion locations are pointed out, and provide lesion some special medical treatment attributes：Profile, feature, scoring is (such as：Lung knot
Save sign of lobulation, burr, pleura drawing etc.) etc.；
Iii. the third level：Point out out lesion, there is provided some characteristic attributes of lesion, and give diagnostic message.
And clinical AI analysis results, according to institute's Information situation, 3 grades of results can be divided into：
I. the first order：Only provide diagnosis；
Ii. the second level：Diagnostic message is provided, and provides treatment recommendations or clinical path；
Iii. the third quarter：Diagnostic message is provided, provides treatment recommendations or clinical path, while provides convalescence scheme.
Above-mentioned diagnosis can adopt international standards ICD-10 standards.
The embodiment of the present invention realizes artificial intelligence application product and hospital's existing system pair by establishing AI interface platforms
Connect, can realize：
A) Data Integration；AI interface platforms with hospital existing system once completely dock, and get initial data, and
For third party's AI systems with data, trouble caused by repeatedly being docked with hospital information system is avoided；
B) unified displaying interface is provided：Multiple third party AI systems output results are shown on an interface, kept away
Exempt from the trouble that doctor brings in multiple intersystem handovers, and more fully information can be seen in doctor, more intuitively；
C) once docked with the existing software systems of doctor, AI interface platforms displaying interface can be directly invoked, improve doctor
Raw operating efficiency；
D) used by a sets of data for multiple systems, improve data user rate, reduce invalid storage；
E) reduce patient information and repeatedly transmit problem, reduce network transmission pressure.
It should be noted that in the case where not conflicting, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.Although present invention has been a certain degree of description, it will be apparent that, do not departing from the bar of the spirit and scope of the present invention
Under part, the appropriate change of each condition can be carried out.It is appreciated that the invention is not restricted to the embodiment, and be attributed to right and want
The scope asked, it includes the equivalent substitution of each factor.
Claims (6)
1. a kind of AI interface platforms, it is characterised in that defeated including raw information reception system, AI information output systems, AI information
Enter system and AI application platform terminals, wherein：
Raw information generation system, raw information reception system, AI information output systems, third party AI systems, the input of AI information
System connects with AI application platform terminal orders；
Raw information reception system is used to receive the patient information for coming from raw information generation system；
AI information output systems are used to obtain patient information from raw information reception system and are sent to third party's AI systems；
AI information input systems are used to obtain analysis result from third party AI systems；
AI application platforms terminal is also connected with hospital existing information-based terminal, for realizing AI interface platforms and information-based terminal
Between information exchange.
2. AI interface platforms according to claim 1, it is characterised in that raw information reception system, AI information output system
System, AI information input systems are arranged on server end, and AI application platforms terminal is arranged on doctor terminal；Doctor terminal and server
Connection framework between end is C/S frameworks, B/S frameworks or mixed architecture.
3. AI interface platforms according to claim 1 or 2, it is characterised in that patient information includes image category information and knot
Structure word category information.
4. AI interface platforms according to claim 1 or 2, it is characterised in that analysis result includes image AI analysis results
With clinical AI analysis results.
A kind of 5. application process of the AI interface platforms described in any one of claim 1-4, it is characterised in that including：
Raw information receiving step：Raw information reception system receives the patient information for coming from raw information generation system；AI
Information output system obtains patient information from raw information reception system and is sent to third party's AI systems；
Analysis result obtaining step：AI information input systems obtain analysis result from third party AI systems；
Terminal interaction step：AI application platforms terminal is also connected with hospital existing information-based terminal, realize AI interface platforms and
Information exchange between information-based terminal.
6. a kind of AI application systems, it is characterised in that including the AI interface platforms described in claim any one of 1-4, original letter
Cease generation system and third party's AI systems.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710811008.XA CN107610763B (en) | 2017-09-08 | 2017-09-08 | AI interface platform, application method thereof and AI application system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710811008.XA CN107610763B (en) | 2017-09-08 | 2017-09-08 | AI interface platform, application method thereof and AI application system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107610763A true CN107610763A (en) | 2018-01-19 |
| CN107610763B CN107610763B (en) | 2020-12-25 |
Family
ID=61062584
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710811008.XA Active CN107610763B (en) | 2017-09-08 | 2017-09-08 | AI interface platform, application method thereof and AI application system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107610763B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108765049A (en) * | 2018-04-12 | 2018-11-06 | 盐城塞纳世信息技术有限公司 | A kind of intelligent mall system based on the mobile terminals AI |
| CN110489577A (en) * | 2019-08-06 | 2019-11-22 | 腾讯医疗健康(深圳)有限公司 | Medical imaging management method and device, ophthalmoscopic image processing method, electronic equipment |
| CN117389529A (en) * | 2023-12-12 | 2024-01-12 | 神州医疗科技股份有限公司 | AI interface calling method and system based on PACS system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101785659A (en) * | 2009-10-16 | 2010-07-28 | 中国科学院合肥物质科学研究院 | Portable general biological signal acquisition and analysis system and method thereof |
| CN102904953A (en) * | 2012-10-12 | 2013-01-30 | Tcl集团股份有限公司 | Remote medical service system and remote medical service method |
| CN103530524A (en) * | 2013-10-24 | 2014-01-22 | 徐州通软计算机系统集成有限公司 | Medical information intelligent data platform, use method and application thereof |
| CN104660617A (en) * | 2015-03-18 | 2015-05-27 | 深圳市九洲电器有限公司 | Data transmission system and data transmission method |
| CN105023073A (en) * | 2014-04-16 | 2015-11-04 | 北京百和园科技有限公司 | Hospital intelligence assessment triage system based on artificial neural network |
| CN105286789A (en) * | 2015-09-22 | 2016-02-03 | 张春园 | Vital sign data acquisition and online monitoring system for medical use |
| US20170007187A1 (en) * | 2015-02-17 | 2017-01-12 | Telebyte, Inc. | Cancer detector using deep optical scanning |
| CN106537398A (en) * | 2014-07-16 | 2017-03-22 | 皇家飞利浦有限公司 | IRECON: intelligent image reconstruction system with anticipatory execution |
| CN106778051A (en) * | 2017-03-16 | 2017-05-31 | 西南科技大学 | A kind of post health monitoring systems based on domestic CPU |
-
2017
- 2017-09-08 CN CN201710811008.XA patent/CN107610763B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101785659A (en) * | 2009-10-16 | 2010-07-28 | 中国科学院合肥物质科学研究院 | Portable general biological signal acquisition and analysis system and method thereof |
| CN102904953A (en) * | 2012-10-12 | 2013-01-30 | Tcl集团股份有限公司 | Remote medical service system and remote medical service method |
| CN103530524A (en) * | 2013-10-24 | 2014-01-22 | 徐州通软计算机系统集成有限公司 | Medical information intelligent data platform, use method and application thereof |
| CN105023073A (en) * | 2014-04-16 | 2015-11-04 | 北京百和园科技有限公司 | Hospital intelligence assessment triage system based on artificial neural network |
| CN106537398A (en) * | 2014-07-16 | 2017-03-22 | 皇家飞利浦有限公司 | IRECON: intelligent image reconstruction system with anticipatory execution |
| US20170007187A1 (en) * | 2015-02-17 | 2017-01-12 | Telebyte, Inc. | Cancer detector using deep optical scanning |
| CN104660617A (en) * | 2015-03-18 | 2015-05-27 | 深圳市九洲电器有限公司 | Data transmission system and data transmission method |
| CN105286789A (en) * | 2015-09-22 | 2016-02-03 | 张春园 | Vital sign data acquisition and online monitoring system for medical use |
| CN106778051A (en) * | 2017-03-16 | 2017-05-31 | 西南科技大学 | A kind of post health monitoring systems based on domestic CPU |
Non-Patent Citations (1)
| Title |
|---|
| 孟哲: "集成化医院信息资源平台（HRP）的设计与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108765049A (en) * | 2018-04-12 | 2018-11-06 | 盐城塞纳世信息技术有限公司 | A kind of intelligent mall system based on the mobile terminals AI |
| CN110489577A (en) * | 2019-08-06 | 2019-11-22 | 腾讯医疗健康(深圳)有限公司 | Medical imaging management method and device, ophthalmoscopic image processing method, electronic equipment |
| CN110489577B (en) * | 2019-08-06 | 2024-01-26 | 腾讯医疗健康(深圳)有限公司 | Medical image management method and device, fundus image processing method and electronic equipment |
| CN117389529A (en) * | 2023-12-12 | 2024-01-12 | 神州医疗科技股份有限公司 | AI interface calling method and system based on PACS system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107610763B (en) | 2020-12-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ng et al. | Wireless technologies for telemedicine | |
| CN106506502B (en) | A kind of multi-modal mobile electron medical records system and its method of work | |
| Ackerman et al. | Chapter 6: telemedicine technology | |
| Coiera | Communication systems in healthcare | |
| Anantharaman et al. | Hospital and emergency ambulance link: using IT to enhance emergency pre-hospital care | |
| Lin | Mobile telemedicine: A survey study | |
| Magann et al. | The use of telemedicine in obstetrics: a review of the literature | |
| Wang et al. | A review of telemedicine in China | |
| CN107610763A (en) | AI interface platforms and its application process, AI application systems | |
| CN105808365A (en) | HIS (Hospital Information System) interface calling method and HIS interface configuration method | |
| CN108062972A (en) | A kind of medical imaging cloud intelligence system | |
| US11515048B2 (en) | Computerized data processing systems and methods for generating graphical user interfaces | |
| Sood et al. | Development of Telemedicine Technology in India:′′ Sanjeevani′′-An Integrated Telemedicine Application | |
| Shaikh et al. | The role of service oriented architecture in telemedicine healthcare system | |
| CN102904953A (en) | Remote medical service system and remote medical service method | |
| CN111462923A (en) | Remote intelligent medical treatment and intelligent education system | |
| Reponen | Radiology as a part of a comprehensive telemedicine and eHealth network in Northern Finland | |
| CN107145729A (en) | The storage system of DICOM image files | |
| CN207099112U (en) | A kind of medical monitoring systems based on WiFi | |
| CN102572400B (en) | The method of hospital's intranet and extranet intercommunication, video terminal and system | |
| Khandheria | Telemedicine: an application in search of users | |
| CN108231140A (en) | A kind of consultation of doctors communication system based on patient clinical data | |
| Raju et al. | Telemedicine and tele-echocardiography in India | |
| Alsafadi et al. | Comparison of communication protocols in medical information exchange standards | |
| Chorbev et al. | Wireless telemedicine services as part of an integrated system for e-medicine |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20201019 Address after: Room 3674, 3rd floor, 2879 Longteng Avenue, Xuhui District, Shanghai, 2002 Applicant after: SHANGHAI UNITED IMAGING INTELLIGENT MEDICAL TECHNOLOGY Co.,Ltd. Address before: 100089 South Lane 15, lanli, Beijing, Haidian District, 1306 Applicant before: Jia Wenhao |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |