CN110534186A - Medical resource management system based on medical care table - Google Patents
Medical resource management system based on medical care table Download PDFInfo
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- CN110534186A CN110534186A CN201910820628.9A CN201910820628A CN110534186A CN 110534186 A CN110534186 A CN 110534186A CN 201910820628 A CN201910820628 A CN 201910820628A CN 110534186 A CN110534186 A CN 110534186A
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- 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
- G16H40/20—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 management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- 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
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Abstract
The invention belongs to medical control fields, specifically provide a kind of medical resource management system based on medical care table, comprising: first aid end is also used to acquire and send patient sign data for typing and the personal information of transmission patient；Hospital end is also used to analyze sign data, hospital end and patient end communicate to connect for receiving the personal information and sign data of the transmission of first aid end；Server is also used to store the shift report of doctor, server and first aid end and hospital end and communicates to connect for receiving and storing the personal information of patient；Wherein, first aid end and hospital end can carry out video communication.Using this system, by video communication, the case where doctor can be to patient, is more comprehensively and accurately understood, and more accurately pre- diagnosis can be carried out to patient.
Description
Technical field
The invention belongs to medical control field more particularly to a kind of medical resource management systems based on medical care table.
Background technique
Pre hospital care refers to the first aid outside institute to critical diseases, that is, when morbidity, by the medical care on ambulance
Personnel carry out first aid and nursing to it on the road for go to hospital.
In order to preferably carry out pre hospital care, there are some pre hospital care systems, these pre hospital care systems are usually wrapped
First aid end and hospital end are included, first aid end is arranged on emergency tender, some equipment with monitoring and function of emergency treatment are generally included, with
The sign data of the convenient vital sign that patient is guarded as early as possible, obtains reflection patient, and according to sign data to patient
State diagnosed and provided necessary treatment.
For the rescue quality for guaranteeing subsequent first aid in hospital, the sign data for the patient that first aid end acquires is transferred to institute as early as possible
It is interior, so that expert formulates in advance patient therapeutic scheme and gets the quality time in institute, it has also become the development of pre hospital care system becomes
Gesture.
Although current pre hospital care system can in time be acquired the physiological parameter of patient, and according to the physiology of patient
Parameter formulates therapeutic scheme in advance.But during pre hospital care, due to the one's work of the medical staff on ambulance
It is based on nursing, and the emergency treatment of different patient has differences, in the case where lacking medical practitioner guidance, medical staff
First aid effect it is relatively limited.
Between the information of arranging an order according to class and grade of doctor be except this, in pre hospital care and institute it is isolated, patient can just arrange after reaching hospital
Corresponding doctor, the time stopped in this way may be delayed the gold rescue time of patient, influence first aid effect.
Summary of the invention
The present invention is in view of the above-mentioned problems, provide a kind of medical resource management system based on medical care table.
Base case provided by the invention are as follows:
Medical resource management system based on medical care table, comprising:
First aid end is also used to acquire and send patient sign data for typing and the personal information of transmission patient；
Hospital end is also used to divide sign data for receiving the personal information and sign data of the transmission of first aid end
Analysis, hospital end and patient end communicate to connect；
Server is also used to store the shift report of doctor, server and urgency for receiving and storing the personal information of patient
Rescue end and the communication connection of hospital end；
Wherein, first aid end and hospital end can carry out video communication.
Base case working principle and beneficial effect:
In pre hospital care, the medical staff on ambulance with first aid end by the personal information typing server of patient, and
The sign data of patient is acquired and is sent, after hospital's termination receives the patient sign data of first aid end transmission, to patient
Sign data analyzed, judge the current sign situation of patient.
During pre hospital care, first aid end can carry out video communication with hospital end, and the medical staff on emergency tender can
The concrete condition of patient is sent to hospital end in real time, doctor then can carry out video guidance to medical staff, thus to patient
Carry out better pre hospital care.Except this, by video communication, the case where doctor can be to patient, is carried out more comprehensively and accurately
Understand, more accurately pre- diagnosis is carried out to patient.
Simultaneously as being stored with the shift report of doctor in server, hospital can be according to the specific state of an illness of patient and doctor
Duty arrangement, give the suitable doctor of patient schedule in time, enable the patient to obtain the treatment of profession in time.
Further, first aid end includes recording module, acquisition module, photographing module, first communication module and locating module；
Recording module is used for the personal information of typing patient；Acquisition module is used to acquire the sign data of patient；Image mould
Block is for acquiring audio-visual data；First communication module is used to send the personal information and sign data of patient, is also used to and hospital
End carries out video communication；Locating module for being positioned in real time.
By locating module, the time that patient reaches hospital can be estimated, arranges corresponding doctor to carry out first aid in time quasi-
It is standby, make treatment of the patient once profession can be obtained to hospital, realizes in institute, the seamless connection outside institute.
Further, server includes third communication module and memory module；Third communication module is used for and first aid end and doctor
Institute end carries out data communication；Memory module is used to store the personal information of patient and the shift report of doctor, also deposits in memory module
Contain passing patient medical record；
Hospital end includes second communication module, processing module and matching module；Second communication module is for receiving first aid end
The personal information and sign data of transmission are also used to carry out video communication with first aid end；Processing module is used for the sign to patient
Data are analyzed；Matching module is used to match passing patient medical record in the server according to the personal information of patient.
Pass through matching module, it will be appreciated that the case history of patient, and then more comprehensively understand the physical condition of patient, it is convenient for
Patient is more targetedly given treatment to.
Further, processing module includes reading submodule, transform subblock and analysis submodule；
Reading submodule is used to read every sign data of patient, and draws the sign data of acquisition according to setting duration
It is divided into several data frames, wherein a data frame includes in the duration of data frame instruction, for a patient, In
A kind of all sign datas obtained under physiological status；
Several data frames that transform subblock is used to obtain carry out time domain replacement, are converted to time-frequency domain letter by time-domain information
Breath, and the time-frequency domain information of each data frame is analyzed using convolutional neural networks, the depth for obtaining each data frame is special
Levy data；
Submodule is analyzed to be used to use preset intelligent analytical model to the depth characteristic data of several data frames of acquisition
It is analyzed, determines the corresponding physiological status of each data frame respectively.
In this way, can effectively the state current to patient analyze, and the analysis efficiency of sign data is improved,
The previous work pressure that doctor can be mitigated, promotes the efficiency of whole flow process, gives treatment to and nurses before providing better institute for patient.
Further, the establishment process of intelligent analytical model are as follows: by the sample of the multi-lead physiological signal of the known patient of magnanimity
After notebook data is converted to time-frequency domain information by time-domain information, depth characteristic data are extracted using convolutional neural networks, then use and follow
Ring neural network is iterated training.
It is compared with common neural network, Recognition with Recurrent Neural Network can effectively retain long-term information, can also choose
Important information is selected to retain, and by unessential header length " forgetting ", the intelligent analytical model performance obtained in this way is more steady
It is fixed.
Further, processing module further includes screening submodule, for analyzing before submodule analyzed, by each data frame
Signal frequency is not deleted in the data information of designated frequency range in the data information and each data frame of middle corresponding Hz noise.
In this way, first screening before analysis to the sign data of patient, significantly more efficient information can be obtained, thus
More suitable nursing is carried out to patient.
Further, sign data includes body temperature, pulse, blood pressure, heart rate, pulse, breathing and blood oxygen index.
By comprehensive analysis of the sign data to patient, could be to patient the case where, is accurately judged.This
Sample can more comprehensively understand the case where patient, more targeted that patient is given treatment to and nursed.
Further, photographing module is also used to carry out live video；Server is also used to store live video.
In this way, can record a video to the process of rescue, if dispute occurs later, can collect evidence from server.
Further, when memory module storage live video, video time is added with the name of patient to save name.
Such naming method when being collected evidence, can be quickly found out the video recording of needs according to the case history of patient.
Further, the hardware at first aid end includes medical care table, and photographing module, first communication module and locating module are integrated in doctor
It protects on table.
In this way, being carried convenient for medical staff.
Detailed description of the invention
Fig. 1 is that the present invention is based on the logic diagrams of the medical resource management system embodiment one of medical care table；
Fig. 2 is the logic diagram of processing module in Fig. 1；
Fig. 3 be the present invention is based on speech player in the medical resource management system embodiment two of medical care table, emergency lock and
The logic diagram at hospital end.
Specific embodiment
It is further described below by specific embodiment:
Embodiment one
As shown in Figure 1, the medical resource management system based on medical care table, including first aid end, hospital end and server.
First aid end
First aid end includes recording module, acquisition module, photographing module, first communication module and locating module.
In the present embodiment, the hardware at first aid end includes that medical care table and body survey device, and recording module and acquisition module are integrated in
Body is surveyed on device, and first communication module, photographing module and locating module are integrated on medical care table.
Acquisition module is used to acquire the sign data of patient, sign data include body temperature, pulse, blood pressure, heart rate, pulse,
Breathing and blood oxygen index.Sign data is critically important monitoring index for patients, according to the variation of sign data, doctor
It can just judge the sick and wounded severity of patient.
Recording module is used for the personal information of typing patient.
Photographing module is for acquiring audio-visual data；Photographing module is also used to carry out live video.In this way, can be to rescue
Process is recorded a video, if dispute occurs later, can be collected evidence from server.
First communication module is used to send the personal information and sign data of patient, is also used to carry out video with hospital end logical
Letter.During pre hospital care, first aid end can carry out video communication with hospital end, and the medical staff on emergency tender can will suffer from
The case where concrete condition of person is sent to hospital end in real time, and doctor can be to patient carries out more comprehensive understanding, meanwhile, pass through
The mode of video communication, doctor can carry out video guidance to medical staff, to carry out better pre hospital care to patient.
Locating module for being positioned in real time.By locating module, the time that patient reaches hospital can be estimated, in time
It arranges corresponding doctor to carry out first aid preparation, makes treatment of the patient once profession can be obtained to hospital, realize in institute, the nothing outside institute
Seam linking.
Hospital end
Hospital end includes second communication module, processing module and matching module.
Second communication module is used to receive the personal information and sign data of first communication module transmission, is also used to and first aid
End carries out video communication and and server communication.
Processing module is for analyzing the sign data of patient.
Specifically, as shown in Fig. 2, processing module includes reading submodule, transform subblock, screening submodule and analysis
Module.
Reading submodule is used to read every sign data of patient, and draws the sign data of acquisition according to setting duration
It is divided into several data frames, wherein a data frame includes in the duration of data frame instruction, for a patient, In
A kind of all sign datas obtained under physiological status；
Several data frames that transform subblock is used to obtain carry out time domain replacement, are converted to time-frequency domain letter by time-domain information
Breath, and the time-frequency domain information of each data frame is analyzed using convolutional neural networks, the depth for obtaining each data frame is special
Levy data；
Screening submodule will correspond to the data letter of Hz noise for analyzing before submodule analyzed in each data frame
Signal frequency is not deleted in the data information of designated frequency range in breath and each data frame.By the data sieve for screening submodule
Choosing, can obtain significantly more efficient information, to carry out more suitable nursing to patient.
Submodule is analyzed to be used to use preset intelligent analytical model to the depth characteristic data of several data frames of acquisition
It is analyzed, determines the corresponding physiological status of each data frame respectively.
The establishment process of intelligent analytical model are as follows: by the sample data of the multi-lead physiological signal of the known patient of magnanimity by
After time-domain information is converted to time-frequency domain information, depth characteristic data are extracted using convolutional neural networks, then using circulation nerve net
Network is iterated training.
In the present embodiment, the Recognition with Recurrent Neural Network model used is bidirectional circulating neural network, in other embodiments,
Ordinary cycle neural network can be used.It is compared with common neural network, Recognition with Recurrent Neural Network can carry out long-term information
It is effective to retain, important information reservation can be also selected, and by unessential header length " forgetting ", the intelligence obtained in this way point
Model is analysed, performance is more stable.
By processing module, can effectively the state current to patient analyze, and improve sign data
Analysis efficiency can mitigate the previous work pressure of doctor, promote the efficiency of whole flow process, rescue before providing better institute for patient
It controls and nurses.
Matching module is used to match passing patient medical record in the server according to the personal information of patient.In such manner, it is possible to
More comprehensively the case where patient, is understood, patient can be given treatment to and be nursed with more targeted.
Server
In the present embodiment, server is Tencent's Cloud Server, and in other embodiments, server can also be taken with Huawei's cloud
Business device.
Server includes third communication module and memory module.
Third communication module is used to carry out data communication with first aid end and hospital end.
Memory module is also used to deposit for storing the personal information of patient, the shift report of doctor and passing patient medical record
Store up live video.
The naming method of live video is " patient's name adds the date ".In this way, when mixing dispute event, Neng Gougen
According to the case history of patient, the live video of needs quickly and is accurately found from memory module.
Using this system, in pre hospital care, the medical staff on ambulance is recorded the personal information of patient with first aid end
Enter server, and the sign data of patient is acquired and is sent, hospital's termination receives the patient sign number of first aid end transmission
According to rear, the sign data of patient is analyzed, judges the current sign situation of patient.
In first aid procedures before institute, first aid end can carry out video communication with hospital end, and the medical staff on emergency tender can
The concrete condition of patient is sent to hospital end in real time, by way of video communication, doctor can then be carried out medical staff
Video guidance, to carry out better pre hospital care to patient.
Except this, by video communication, the case where doctor can be to patient, is more comprehensively and accurately understood, can be right
Patient carries out more accurately pre- diagnosis.Simultaneously as being stored with the shift report of doctor in server, hospital can be according to patient's
The duty arrangement of the specific state of an illness and doctor, give the suitable doctor of patient schedule in time, enable the patient to obtain profession in time
Treatment.
Embodiment two
As shown in figure 3, what is different from the first embodiment is that in the present embodiment, the No.1 elevator in building where hospital emergency room
For first aid elevator；First aid elevator is equipped with emergency lock, and emergency lock is RFID electronic lock, and first aid elevator is equipped with speech player,
Emergency lock and speech player pass through WIFI module and hospital end communicates to connect.It further include doctor's work card, doctor's work card
For RFID work card, there is the number of oneself in the work card of every doctor.
Module and elevator controlling module when hospital end further includes pre-.
Module is used for the position according to locating module when pre-, it is contemplated that the time of ambulance arrival hospital.
Elevator controlling module is used to control the locking of the emergency lock of elevator, and the number of medical doctor is sent to emergency
Lock；After emergency locks lock, the doctor only sent with elevator controlling module numbers identical doctor's work card and can unlock.Elevator control
Molding block is also used to control speech player and plays voice.
When module E.T.A is M minutes when pre-, elevator controlling module controls voice broadcast module and carries out voice
It plays, the doctor on elevator, patient is reminded to replace elevator, elevator will lock, and inform that external crowd uses other electricity
Ladder；When module E.T.A is N minutes when pre-, the emergency of elevator controlling module control elevator is locked, and will be unlocked
Doctor number be sent to emergency lock；Wherein N < M.In the present embodiment, the numerical value that the numerical value of M is 10, N is 5.
In this way, module may estimate that ambulance reaches the time of hospital when pre- during ambulance returns to hospital, work as doctor
Vehicle is protected there are also when 10 minutes arrival hospitals, elevator controlling module controls speech player and carries out voice broadcasting, reminds on elevator
Doctor, patient replace elevator, and elevator will lock, and inform that external crowd uses other elevators.When there are also 5 points for vehicle for medical purpose
When clock reaches hospital, elevator controlling module control emergency is locked, and after emergency locks lock, the work card of only medical doctor can be beaten
Emergency lock is opened, in this way, patient can be sent into regard to consulting room in first time behind emergency tender to hospital, prevent other staff
Elevator is occupied, leads to not that patient is sent into the case where giving treatment to regard to consulting room in time.
What has been described above is only an embodiment of the present invention, and the common sense such as well known specific structure and characteristic are not made herein in scheme
Excessive description, technical field that the present invention belongs to is all before one skilled in the art know the applying date or priority date
Ordinary technical knowledge can know the prior art all in the field, and have using routine experiment hand before the date
The ability of section, one skilled in the art can improve and be implemented in conjunction with self-ability under the enlightenment that the application provides
This programme, some typical known features or known method should not become one skilled in the art and implement the application
Obstacle.It should be pointed out that for those skilled in the art, without departing from the structure of the invention, can also make
Several modifications and improvements out, these also should be considered as protection scope of the present invention, these all will not influence the effect that the present invention is implemented
Fruit and patent practicability.The scope of protection required by this application should be based on the content of the claims, the tool in specification
The records such as body embodiment can be used for explaining the content of claim.
Claims (10)
1. the medical resource management system based on medical care table characterized by comprising
First aid end is also used to acquire and send patient sign data for typing and the personal information of transmission patient；
Hospital end is also used to analyze sign data, cure for receiving the personal information and sign data of the transmission of first aid end
Institute end and patient end communicate to connect；
Server is also used to store the shift report of doctor, server and first aid end for receiving and storing the personal information of patient
And hospital end communication connection；
Wherein, first aid end and hospital end can carry out video communication.
2. the medical resource management system according to claim 1 based on medical care table, it is characterised in that: first aid end includes record
Enter module, acquisition module, photographing module, first communication module and locating module；
Recording module is used for the personal information of typing patient；Acquisition module is used to acquire the sign data of patient；Photographing module is used
In acquisition audio-visual data；First communication module is used to send the personal information and sign data of patient, be also used to hospital end into
Row video communication；Locating module for being positioned in real time.
3. the medical resource management system according to claim 1 based on medical care table, it is characterised in that: server includes the
Three communication modules and memory module；Third communication module is used to carry out data communication with first aid end and hospital end；Memory module is used
In the personal information of storage patient and the shift report of doctor, passing patient medical record is also stored in memory module；
Hospital end includes second communication module, processing module and matching module；Second communication module is for receiving the transmission of first aid end
Personal information and sign data, be also used to and first aid end carry out video communication；Processing module is used for the sign data to patient
It is analyzed；Matching module is used to match passing patient medical record in the server according to the personal information of patient.
4. the medical resource management system according to claim 3 based on medical care table, it is characterised in that: processing module includes
Reading submodule, transform subblock and analysis submodule；
Reading submodule is used to read every sign data of patient, and is divided into the sign data of acquisition according to setting duration
Several data frames a, wherein data frame includes in the duration of data frame instruction, for a patient, in one kind
All sign datas obtained under physiological status；
Several data frames that transform subblock is used to obtain carry out time domain replacement, are converted to time-frequency domain information by time-domain information,
And the time-frequency domain information of each data frame is analyzed using convolutional neural networks, obtain the depth characteristic number of each data frame
According to；
Submodule is analyzed to be used to carry out using depth characteristic data of the preset intelligent analytical model to several data frames of acquisition
Analysis, determines the corresponding physiological status of each data frame respectively.
5. the medical resource management system according to claim 4 based on medical care table, it is characterised in that: intelligent analytical model
Establishment process are as follows: the sample data of the multi-lead physiological signal of the known patient of magnanimity is converted into time-frequency domain by time-domain information
After information, depth characteristic data are extracted using convolutional neural networks, then training is iterated using Recognition with Recurrent Neural Network.
6. the medical resource management system according to claim 4 based on medical care table, it is characterised in that: processing module is also wrapped
Include screening submodule, for analyzing before submodule analyzed, by corresponded in each data frame Hz noise data information and
Signal frequency is not deleted in the data information of designated frequency range in each data frame.
7. the medical resource management system according to claim 1 based on medical care table, it is characterised in that: sign data includes
Body temperature, pulse, blood pressure, heart rate, pulse, breathing and blood oxygen index.
8. the medical resource management system according to claim 2 based on medical care table, it is characterised in that: photographing module is also used
In progress live video；Server is also used to store live video.
9. the medical resource management system according to claim 8 based on medical care table, it is characterised in that: server block storage
When live video, video time is added with the name of patient to save name.
10. the medical resource management system according to claim 2 based on medical care table, it is characterised in that: first aid end it is hard
Part includes medical care table, and photographing module, first communication module and locating module are integrated on medical care table.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111180059A (en) * | 2019-12-30 | 2020-05-19 | 中国人民解放军陆军军医大学第一附属医院 | Remote medical monitoring system based on 5G network |
| CN111199791A (en) * | 2019-12-30 | 2020-05-26 | 重庆同仁至诚智慧医疗科技股份有限公司 | Network system for stroke treatment and stroke treatment platform |
| CN111933276A (en) * | 2020-07-22 | 2020-11-13 | 复旦大学 | Intelligent hospital-oriented person-information-physical system |
| CN112884624A (en) * | 2021-03-10 | 2021-06-01 | 泰康保险集团股份有限公司 | Community emergency rescue method, system, computer equipment and readable storage medium |
| CN113270180A (en) * | 2021-06-03 | 2021-08-17 | 重庆东登科技有限公司 | Dispatching management system for emergency medical treatment |
| CN114093473A (en) * | 2021-10-28 | 2022-02-25 | 广州爱尔眼科医院有限公司 | Patient management system for ophthalmic surgery |
| CN114203289A (en) * | 2021-12-13 | 2022-03-18 | 杭州佑医科技有限公司 | Method and device for real-time communication with hospital emergency system |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040179092A1 (en) * | 2003-03-14 | 2004-09-16 | Lapoint Donald A. | Videoconferencing communication system |
| CN202843955U (en) * | 2012-09-10 | 2013-04-03 | 潍坊雷威医疗仪器有限公司 | Ambulance monitoring system based on Internet of things |
| CN103136438A (en) * | 2011-12-05 | 2013-06-05 | 深圳迈瑞生物医疗电子股份有限公司 | Prehospital first-aid system, first-aid end and hospital end |
| CN103312782A (en) * | 2013-05-15 | 2013-09-18 | 晁彦公 | Remote intelligent first-acid system and remote intelligent first-acid method |
| CN105654412A (en) * | 2016-03-09 | 2016-06-08 | 三峡大学第临床医学院 | Emergency information system and method |
| CN208037788U (en) * | 2017-11-07 | 2018-11-02 | 沈阳远大智能工业集团股份有限公司 | Lift car with wireless speech host |
| CN110008790A (en) * | 2018-01-05 | 2019-07-12 | 中国移动通信有限公司研究院 | A kind of analysis method and device of multi-lead physiological signal |
-
2019
- 2019-08-29 CN CN201910820628.9A patent/CN110534186A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040179092A1 (en) * | 2003-03-14 | 2004-09-16 | Lapoint Donald A. | Videoconferencing communication system |
| CN103136438A (en) * | 2011-12-05 | 2013-06-05 | 深圳迈瑞生物医疗电子股份有限公司 | Prehospital first-aid system, first-aid end and hospital end |
| CN202843955U (en) * | 2012-09-10 | 2013-04-03 | 潍坊雷威医疗仪器有限公司 | Ambulance monitoring system based on Internet of things |
| CN103312782A (en) * | 2013-05-15 | 2013-09-18 | 晁彦公 | Remote intelligent first-acid system and remote intelligent first-acid method |
| CN105654412A (en) * | 2016-03-09 | 2016-06-08 | 三峡大学第临床医学院 | Emergency information system and method |
| CN208037788U (en) * | 2017-11-07 | 2018-11-02 | 沈阳远大智能工业集团股份有限公司 | Lift car with wireless speech host |
| CN110008790A (en) * | 2018-01-05 | 2019-07-12 | 中国移动通信有限公司研究院 | A kind of analysis method and device of multi-lead physiological signal |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111180059A (en) * | 2019-12-30 | 2020-05-19 | 中国人民解放军陆军军医大学第一附属医院 | Remote medical monitoring system based on 5G network |
| CN111199791A (en) * | 2019-12-30 | 2020-05-26 | 重庆同仁至诚智慧医疗科技股份有限公司 | Network system for stroke treatment and stroke treatment platform |
| CN111180059B (en) * | 2019-12-30 | 2023-08-22 | 中国人民解放军陆军军医大学第一附属医院 | 5G network-based remote medical monitoring system |
| CN111933276A (en) * | 2020-07-22 | 2020-11-13 | 复旦大学 | Intelligent hospital-oriented person-information-physical system |
| CN112884624A (en) * | 2021-03-10 | 2021-06-01 | 泰康保险集团股份有限公司 | Community emergency rescue method, system, computer equipment and readable storage medium |
| CN113270180A (en) * | 2021-06-03 | 2021-08-17 | 重庆东登科技有限公司 | Dispatching management system for emergency medical treatment |
| CN113270180B (en) * | 2021-06-03 | 2024-05-14 | 四川省医学科学院·四川省人民医院 | Scheduling management system for emergency medical treatment |
| CN114093473A (en) * | 2021-10-28 | 2022-02-25 | 广州爱尔眼科医院有限公司 | Patient management system for ophthalmic surgery |
| CN114203289A (en) * | 2021-12-13 | 2022-03-18 | 杭州佑医科技有限公司 | Method and device for real-time communication with hospital emergency system |
| CN118155820A (en) * | 2024-05-11 | 2024-06-07 | 万链指数(青岛)信息科技有限公司 | Hospital outpatient emergency service system and method based on cloud server |
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Application publication date: 20191203 |