TWM492163U - Cloud monitoring automated system for blood dialysis - Google Patents

Description

Cloud monitoring automation system for hemodialysis 【0001】

This creation is about a cloud monitoring automation system used in hemodialysis, especially a cloud monitoring automation system used in hemodialysis process to purify human blood.

【0002】

Under the influence of serious environmental pollution and bad eating habits, the number of patients with kidney disease is much higher than before. Therefore, there are often more than 50 hemodialysis machines in the current dialysis room. In order to effectively manage more than 50 hemodialysis machines, the purification values measured by the hemodialysis machine are read by the data extractor and sent to the signal coordinator and data storage in sequence, and finally stored in the data storage device. The purpose of automatically recording blood purification values is achieved.

[0003]

However, some remote areas or community-based dialysis rooms lack professional clinical staff to protect the parameters, such as purification values, physiological parameters, biochemical test data measured by the hemodialysis machine, or medical orders and dialysis reports. Diagnosing treatment through professional medical staff, resulting in serious medical quality in remote areas or small areas.

[0004]

In view of the above, the inventors of the present invention have made great efforts to solve the above problems by focusing on the above-mentioned prior art, and have made great efforts to solve the above problems, which has become the object of development by the present inventors.

[0005]

One of the aims of this creation is to provide a cloud monitoring automation system for hemodialysis, which utilizes the analysis of big data in the cloud service center and the interpretation of clinical specialists to assist the diagnosis of hospitals and community doctors at the far end, thereby improving The medical quality of the patient.

[0006]

In order to achieve the above object, the present invention provides a cloud monitoring automation system for hemodialysis, comprising at least one hemodialysis machine, at least one data extractor, a signal coordinator and a data storage device; The blood purifying machine is electrically connected to the hemodialysis machine, and the data extractor is configured to read the digital signal and convert it into a first signal and send it out. The signal coordinator is configured to receive the first signal and convert it into a second signal and send it out; the data storage device is configured to receive the second signal and store the data, and a cloud server is connected to the data storage device via the network. The cloud server is configured to receive and store the second signal; and the at least one computer is connected to the cloud server through the network, the computer is configured to receive the second signal to generate a message, and the cloud server receives the information And transferred to the data storage.

【0007】

This creation also has the following functions. The first point is to save manpower requirements for manual copying and manual file creation, as well as to avoid mistakes in manual copying and file creation. The second point is to instantly access hemodialysis through a tablet. The blood purification process numerical data for the doctor to make timely diagnosis and type the diagnosis result; Thirdly, the data extractor and the data transmitter can have a distributed address allocation mechanism to avoid any data. When the transmitter fails, a physiological signal cannot be sent to the data storage device through the data transmitter.

[0038]

10‧‧‧hemodialysis machine

[0039]

101‧‧‧Processing agency

[0040]

102‧‧‧Measurement mechanism

[0041]

103‧‧‧Signal output unit

[0042]

11‧‧‧Physiological signal

[0043]

20, 20’‧‧‧ data extractor

[0044]

21‧‧‧First signal

[0045]

30‧‧‧Signal Coordinator

[0046]

31‧‧‧second signal

[0047]

40‧‧‧Data storage

[0048]

50‧‧‧Ethnet

[0049]

60‧‧‧Handheld devices

[0050]

70, 70’, 70” ‧ ‧ data transmitter

[0051]

71‧‧‧ Third signal

[0052]

80‧‧‧Cloud Server

[0053]

81‧‧‧Data Bridge

[0054]

82‧‧‧Server

[0055]

90‧‧‧ computer

[0056]

91‧‧‧Information

[0008]

Figure 1 is a control block diagram of the first embodiment of the present creation.

【0009】

Figure 2 is a control block diagram of the second embodiment of the present creation.

[0010]

Figure 3 is a control block diagram of the third embodiment of the present creation.

[0011]

Figure 4 is a control block diagram of the fourth embodiment of the present creation.

[0012]

The detailed description and technical content of the present invention are described below with reference to the drawings, but the drawings are only for reference and explanation, and are not intended to limit the creation.

[0013]

Please refer to FIG. 1 , which is a control block diagram of the first embodiment of the present invention. The present invention provides a cloud monitoring automation system for hemodialysis, which mainly includes a plurality of hemodialysis machines 10 and a plurality of data extractors 20 . A signal coordinator 30 and a data storage 40.

[0014]

Each hemodialysis machine 10 includes a processing mechanism 101, a measuring mechanism 102 and a signal output unit 103. The processing mechanism 101 is used for purifying the blood of the patient; the measuring mechanism 102 is used for measuring the processing mechanism 101 to purify the blood. The purification value during the treatment and the purification value is converted into a physiological signal 11, the purification value includes arterial pressure (AP), venous pressure (VP), dialysis hydraulic pressure (DP), transmembrane pressure (TMP), conductance value (DC), Blood flow rate (BF), injection flow rate (SF), cumulative dehydration amount (TUF), target dehydration amount (TAUF), dehydration rate (UFR) and curve pattern; signal output unit 103 is used to output physiological signal 11; The signal output unit is an RS232C port or an RS232C plug, and the physiological signal 11 is an RS232C protocol signal.

[0015]

Each data extractor 20 is electrically connected to the signal output unit 103 of each hemodialysis machine 10, and each data extractor 20 reads the physiological signal 11 of each hemodialysis machine 10 and converts the physiological signal 11 into a first After the signal 21, each first signal 21 is sent out through the wireless transmitting module inside each data extractor 20; each first signal 21 is a WIFI protocol signal; each data extractor 20 It is a converter that can convert RS232C protocol signals into WIFI protocol signals.

[0016]

The signal coordinator 30 receives each of the first signals 21 through the built-in wireless receiving module, and then converts the signal into a second signal 31 via the signal coordinator 30, and transmits the wireless transmitting module or the wired transmitting module through the signal coordinator 30. The second signal 31 is sent to an Ethernet 50, so that the signal coordinator 30 can send the second signal 31 to the data storage 40 via the Ethernet 50; the second signal 31 is an Ethernet protocol signal. The signal coordinator 30 is a router that converts the WIFI protocol signal into an Ethernet protocol signal.

[0017]

The data storage 40 receives the second signal 31 and decodes the second signal 31 into physiological data and stores it in the storage unit of the data storage unit 40. The data storage 40 can be a server and the data storage 40 is stored. The unit may be a storage hard disk disposed in the data storage 40.

[0018]

The cloud monitoring automation system for hemodialysis further includes at least one handheld device 60 capable of acquiring physiological data stored in the storage unit of the data storage 40 via the signal coordinator 30.

[0019]

When dialysis is performed for a plurality of patients at the same time, each patient can be subjected to blood purification treatment through the processing mechanism 101 of each hemodialysis machine 10, and the measurement mechanism of each hemodialysis machine 10 is utilized in the process of blood purification. 102 performs a measurement of the purification value for each patient to observe the physical condition of each patient during the dialysis process, and the measuring mechanism 102 of each hemodialysis machine 10 converts the measured purification value into RS232C. The physiological signal 11 of the protocol is output, and then the physiological signal 11 generated by each hemodialysis machine 10 is output through the signal output unit 103 of each hemodialysis machine 10.

[0020]

Thereafter, each of the data extractors 20 is used to read the physiological signal 11 of each hemodialysis machine 10, and each physiological signal 11 is converted into a first signal 21 of the WIFI protocol, and then by each data extractor. 20 built-in wireless transmitting module or wired transmitting module sends each first signal 21 out, and then receives each first signal 21 through the wireless receiving module built in the signal coordinator 30, and After being converted into the second protocol 31 of the Ethernet protocol, the second signal 31 is sent to the Ethernet 50, and finally the second signal 31 is sent to the data storage 40 via the Ethernet 50, processed into the physiological data by the data storage 40, and then stored. In the storage unit of the data storage 40, the effect of automatically recording the purification value measured by each hemodialysis machine 10 for each patient in the data storage 40 can be achieved, and can also be set automatically at intervals. The effect of the purification value is recorded; thereby, the manpower for recording the purification value measured by each hemodialysis machine 10 during each patient's dialysis can be saved, and the human error caused by the human record purification value can also be avoided.

[0021]

Moreover, if the tablet 60 has a built-in 3G network card, the tablet 60 can connect to the data storage 40 through the 3G network to read the purification value of each patient stored in the data storage 40; if the tablet 60 The WIFI network card is built in, and the tablet computer 60 can connect the data storage device 40 through the signal coordinator 30 to read the purification value of each patient in the data storage device 40, so that the medical staff or the patient's family can monitor the patient at any time. The purification value during dialysis allows the medical staff to perform the next treatment on the patient or to explain the current physical condition of the patient to the family member.

[0022]

In addition, a standard diagnostic book can be built in the tablet computer 60 so that the doctor can input the diagnosis result of the patient at any time in the tablet computer 60, and then send the diagnosis result to the signal coordinator 30 via the 3G network or the WIFI network card. The data storage 40 is stored in the storage unit of the data storage 40 for the next diagnosis, and the tablet 60 can also be used to access the previous diagnostic data, thereby reducing the time for the doctor to access the previous diagnostic data.

[0023]

Furthermore, the state of each hemodialysis machine 10 can also be displayed in the tablet computer in three kinds of lights so that the medical staff can pass the model and model of each hemodialysis machine 10 in the tablet computer when the patient is registered. The displayed lights are used to understand the use of each hemodialysis machine 10 in the morning, noon and evening periods to best manage the registered patients.

[0024]

The data storage unit 40 can also be built with a warehouse management unit and an inventory database, and the doctor can input the diagnostic data in the tablet 60 and the input consumables required for the type of the patient's blood vessel passage; in addition, the patient is allowed to wash the kidney. When reporting in the dialysis room, the medical staff can also check the patient's photo and identity through the tablet computer 60 to read and check the doctor's medication and the patient's required pipeline supplies, and automatically estimate all patients on the day. The amount of medicines and consumables required, and can be directly deducted from the inventory database, in order to reduce the workload of medical staff and prevent serious errors that may occur, thereby improving the quality of medical care.

[0025]

Referring to FIG. 2, it is a control block diagram of the second embodiment of the present invention. The main difference from the foregoing embodiment is that the cloud monitoring automation system applied to hemodialysis further includes a plurality of data transmitters 70; each first The signal 21 is a ZigBee protocol signal, and each data extractor 20 is a converter capable of converting the RS232C protocol signal into a ZigBee protocol signal; the signal coordinator 30 is a one for converting the ZigBee protocol signal into an Ethernet protocol signal. Coordinator.

[0026]

Each data transmitter 70 can also receive the first signal 21 sent from each data extractor 20, and then, after each first signal 21 is enhanced to a third signal 71 by each data transmitter 70, The signal coordinator 30 sends the third signal 71 to the data storage 40 via the Ethernet 50.

[0027]

Since each data extractor 20 and each data transmitter 70 have a distributed address allocation mechanism, each data extractor 20 reads the physiological signal 11 of each hemodialysis machine 10 and converts it into a first After the signal 21, the data extractor 20 automatically interprets the position of the other data extractor 20' or the data transmitter 70, which is currently low in signal throughput and can operate normally, to send the first signal 21 to the signal flow. Lower and able to operate normally to the data extractor 20' or the data transmitter 70, or directly to the signal coordinator 30; and then sent to the first signal transmitted through the data extractor 20' or the data transmitter 70 21 will be enhanced by the data extractor 20' or the data transmitter 70 into a third signal 71, which is then sent to the signal coordinator 30; the signal coordinator 30 will then be the first signal 21 or ZigBee protocol of the ZigBee protocol. The third signal 71 is converted into the second protocol 31 of the Ethernet protocol and sent to the Ethernet 50. Finally, the second signal 21 is sent to the data storage 40 via the Ethernet 50 for storage.

[0028]

Therefore, each data extractor 20 and each data transmitter 70 can have a distributed address allocation mechanism, so each data extractor 20 and each data transmitter 70 automatically search for normal operation and The other data extractor 20' and the data transmitter 70' have low signal flow, so that when any of the data transmitters 70 fails, the first signal 21 or the third signal 71 can still be selected to be sent to other normal operations. The data extractor 20' or the data transmitter 70" is sent to the signal coordinator 30 through the data extractor 20' or the data transmitter 70" to prevent any data transmitter 70 from malfunctioning. The physiological signal 11 cannot be sent to the data store 40 via the data transmitter 70.

[0029]

The tablet computer 60 can also read the physiological data in the data storage 40 through the signal coordinator 30.

[0030]

Referring to FIG. 3, it is a control block diagram of the third embodiment of the present invention. The third embodiment is substantially the same as the first and second embodiments. The third embodiment differs from the first and second embodiments in the cloud. The monitoring automation system further includes a cloud server 80 and one or more computers 90.

[0031]

As described in detail below, the cloud server 80 is connected to the remote area or the community data storage 40 via the network. The cloud server 80 is configured to receive and store the second signal 31 and transmit the second signal 31.

[0032]

The computer 90 is connected to the cloud server 80 through the network. The computer 90 receives the second signal 31 and generates a message 91. The cloud server 80 receives the information 91 and transmits it to the data storage 40.

[0033]

In addition, the cloud monitoring automation system further includes a data bridge 81. The data storage 40 transmits the second signal 31 through the data bridge 81, and the cloud server 80 transmits the information 91 through the data bridge 81.

[0034]

Thereby, the second signal 31 is information such as the purification value, the physiological signal, the biochemical test data, the initial doctor's prescription medication, and the preliminary dialysis report measured by the hemodialysis machine 10, for example, the patient has symptoms during hemodialysis. Statistical analysis, hemoglobin Hb, albumin ALB, calcium Ca, phosphorus P, transferrin saturation, ferritin, iPHT, Kt/V, hospitalization rate, mortality, HBsAg conversion rate and anti-HCV conversion rate Data, the second signal 31 is uploaded to the cloud server 80 via the Internet, and then the second signal 31 is transmitted to the specialist computer 90 by the cloud server 80. When the specialist assists in the interpretation, the diagnosis and treatment parameters and the like are obtained. The cloud server 80 and the data bridge 81 are transmitted back to the remote area or the community data storage 40, so that the local clinician can immediately obtain the information such as the diagnosis and treatment parameters 91 to improve the quality of hemodialysis in the remote hospital or the community. .

[0035]

In addition, patients and their families can also obtain clinical parameters such as special care, diet, and education from the cloud server 80 through their personal computer 90.

[0036]

Referring to FIG. 4, it is a control block diagram of the fourth embodiment of the present invention. The fourth embodiment is substantially the same as the third embodiment. The fourth embodiment is different from the third embodiment in that the cloud monitoring automation system is more A server 82 is included.

[0037]

Further, as follows, a large hospital or medical center usually has an internal server 82 installed. Therefore, when the cloud server 80 transmits the second signal 31 to the computer 90 or needs to receive the information 91, the cloud server 80 needs to transmit through the server 82. The second signal 31 or accepts the information 91. Therefore, the components of the server 82 may be present or omitted depending on the actual application, and are not limited by this embodiment. In summary, when the cloud monitoring automation system applied to hemodialysis of Zhiben has been industrially utilized, novel and progressive, and the structure of this creation has not been seen in similar products and public use, fully in line with the new patent application. The requirements are based on the patent law.

10‧‧‧hemodialysis machine

101‧‧‧Processing agency

102‧‧‧Measurement mechanism

103‧‧‧Signal output unit

11‧‧‧Physiological signal

20, 20’‧‧‧ data extractor

21‧‧‧First signal

30‧‧‧Signal Coordinator

31‧‧‧second signal

40‧‧‧Data storage

50‧‧‧Ethnet

60‧‧‧Handheld devices

70, 70’, 70” ‧ ‧ data transmitter

71‧‧‧ Third signal

80‧‧‧Cloud Server

81‧‧‧Data Bridge

82‧‧‧Server

90‧‧‧ computer

91‧‧‧Information

Claims (14)

[Item 1] A cloud monitoring automation system for hemodialysis, comprising:
At least one hemodialysis machine for measuring the purification value in the blood and converting it into a physiological signal for output;
At least one data extractor electrically connected to the hemodialysis machine, wherein the data extractor is configured to read the physiological signal and convert it into a first signal and send it out;
a signal coordinator for receiving the first signal and converting it into a second signal for transmission;
a data storage device for receiving the second signal and storing;
a cloud server connected to the data storage through a network, the cloud server is configured to receive and store the second signal; and at least one computer is connected to the cloud server through a network, the computer is configured to receive the After the second signal, a message is generated, and the cloud server receives the information and transmits the information to the data storage. [Item 2] The cloud monitoring automation system for hemodialysis according to claim 1, further comprising a data bridge, wherein the data storage device transmits the second signal through the data bridge, and the cloud server transmits the data through the data bridge The information. [Item 3] The cloud monitoring automation system for hemodialysis according to claim 1, further comprising a server, the cloud server transmitting the second signal and accepting the information through the server. [Item 4] The cloud monitoring automation system for hemodialysis according to claim 1, wherein the physiological signal is an RS232C protocol signal, and the first signal is a WIFI protocol signal, and the data extractor is capable of adopting the RS232C protocol. The signal is converted into a converter of the WIFI protocol signal. [Item 5] The cloud monitoring automation system for hemodialysis according to claim 4, wherein the second signal is an Ethernet protocol signal, and the signal coordinator is a router for converting the WIFI protocol signal into an Ethernet protocol signal. [Item 6] The cloud monitoring automation system for hemodialysis according to claim 5, wherein the signal coordinator sends the second signal to the data storage via an Ethernet. [Item 7] The cloud monitoring automation system for hemodialysis according to claim 1, wherein the physiological signal is an RS232C protocol signal, the first signal is a ZigBee protocol signal, and the data extractor is capable of being RS232C protocol. A converter that converts signals into ZigBee protocol signals. [Item 8] The cloud monitoring automation system for hemodialysis according to claim 7, wherein the signal coordinator is a coordinator for converting the ZigBee protocol signal into an Ethernet protocol signal. [Item 9] The cloud monitoring automation system for hemodialysis according to claim 8, wherein the signal coordinator sends the second signal to the data storage via an Ethernet network. [Item 10] The cloud monitoring automation system for hemodialysis according to claim 8, further comprising at least one data transmitter, the data transmitter receiving the first signal, the data transmitter enhancing the first signal to a third signal Sended to the signal coordinator, the signal coordinator sends the third signal to the data storage via the Ethernet. [Item 11] The cloud monitoring automation system for hemodialysis according to claim 8, further comprising a plurality of data transmitters, wherein the data extractor can send the first signal to any of the data transmitters. [Item 12] The cloud monitoring automation system for hemodialysis according to claim 11, wherein the data transmitter receives the first signal, and the data transmitter enhances the first signal to a third signal and sends the signal to the signal coordinator. The signal coordinator sends the third signal to the data storage via the Ethernet. [Item 13] The cloud monitoring automation system for hemodialysis according to claim 1, further comprising a handheld device capable of obtaining the stored data in the data storage device through the signal coordinator or the data transmitter. [Item 14] The cloud monitoring automation system for hemodialysis according to claim 1, wherein the hemodialysis machine comprises a processing mechanism, a measuring mechanism and a signal output unit, wherein the processing mechanism is configured to purify the blood of the patient, The measuring mechanism is configured to measure the purification value of the processing mechanism for purifying the blood and convert the purification value into the physiological signal, the signal output unit is configured to output the physiological signal, and the data extractor is electrically connected to the signal Output unit.