Monitoring system for a dialysis machine
Abstract
The invention relates to a monitoring system for at least one dialysis machine (e.g. a peritoneal dialysis machine), wherein the monitoring system receives data from a dialysis machine to be monitored via a first data communication network, wherein the data are selected from a group comprising machine data, error codes, operational data, environmental data, consumables data, network data, treatment data, wherein the data received are stored in a manner which is specific to the respective peritoneal dialysis machine, wherein for each machine, at least individual components of the stored data are analyzed wherein, on the basis of the analysis, an action selected from informing a patient, informing a medical professional, informing service personnel, informing a quality management representative is carried out via a second data communication network.
Claims
exact text as granted — not AI-modified1 . A system, comprising:
a plurality of dialysis machines; and a monitoring system comprising a web server; wherein the plurality of dialysis machines are in communication with the monitoring system and are configured to send data to the monitoring system, wherein the data includes treatment data; wherein the monitoring system is configured to process the data according to respective dialysis machines of the plurality of dialysis machines and store the data in a machine-specific manner; and wherein the web server is configured to analyze machine-specific data and provide the machine-specific data in a machine-specific manner to medical personnel.
2 . The system according to claim 1 , wherein the web server is further configured to provide analysis results to a patient.
3 . The system according to claim 1 , wherein providing the machine-specific data in the machine-specific manner comprises sorting the machine-specific data by machine.
4 . The system according to claim 1 , wherein the data further includes fault data.
5 . The system according to claim 4 , wherein the monitoring system is configured to detect, based on the fault data, faulty training as to usage of a respective dialysis machine of the plurality of dialysis machines.
6 . The system according to claim 5 , wherein detecting faulty training is based on detecting a number of wake up calls and/or determining a rise in a dwell-time diagram.
7 . The system according to claim 5 , wherein detecting faulty training is based on detecting shortfalls in prescribed input volumes and/or evaluating switching points between infusion and drainage over a plurality of infusions.
8 . The system according to claim 5 , wherein detecting faulty training is based on determining whether a treatment is succeeding, a number of error messages recorded, and/or a period of time between providing a treatment and commencement of the treatment.
9 . The system according to claim 5 , wherein the monitoring system is configured to, in response to detecting faulty training, provide a notification that a patient corresponding to the respective dialysis machine needs training.
10 . The system according to claim 4 , wherein the machine-specific data provided by the web server includes fault statistics.
11 . The system according to claim 4 , wherein the monitoring system is configured to detect how frequently faults occur with respect to a respective dialysis machine within a time period, and request additional information from the respective dialysis machine based on the detected frequency.
12 . The system according to claim 4 , wherein the monitoring system is configured to detect how frequently faults occur with respect to a respective dialysis machine within a time period, and estimate acuteness or urgency of a fault based on the detected frequency.
13 . The system according to claim 1 , wherein the plurality of dialysis machines comprise one or more peritoneal dialysis machines.
14 . A method, comprising:
receiving, by a monitoring system comprising a web server, data for a plurality of dialysis machines in communication with the monitoring system, wherein the data includes treatment data; processing, by the monitoring system, according to respective dialysis machines of the plurality of dialysis machines, the data and storing the data in a machine-specific manner; and analyzing, by the web server of the monitoring system, machine-specific data and providing the machine-specific data in a machine-specific manner to medical personnel.
15 . The method according to claim 14 , further comprising:
providing, by the web server of the monitoring system, analysis results to a patient.
16 . The method according to claim 14 , wherein providing the machine-specific data in the machine-specific manner comprises sorting the machine-specific data by machine.
17 . The method according to claim 14 , wherein the data further includes fault data.
18 . The method according to claim 14 , wherein the plurality of dialysis machines comprise one or more peritoneal dialysis machines.
19 . A non-transitory computer-readable medium having processor-executable instructions stored thereon, wherein the processor-executable instructions, when executed, facilitate:
receiving, by a monitoring system comprising a web server, data for a plurality of dialysis machines in communication with the monitoring system, wherein the data includes treatment data; processing, by the monitoring system, according to respective dialysis machines of the plurality of dialysis machines, the data and storing the data in a machine-specific manner; and analyzing, by the web server of the monitoring system, machine-specific data and providing the machine-specific data in a machine-specific manner to medical personnel.
20 . The non-transitory computer-readable medium according to claim 19 , wherein the processor-executable instructions, when executed, further facilitate:
providing, by the web server of the monitoring system, analysis results to a patient.
21 . The non-transitory computer-readable medium according to claim 19 , wherein providing the machine-specific data in the machine-specific manner comprises sorting the machine-specific data by machine.
22 . The non-transitory computer-readable medium according to claim 19 , wherein the data further includes fault data.
23 . The non-transitory computer-readable medium according to claim 19 , wherein the plurality of dialysis machines comprise one or more peritoneal dialysis machines.Join the waitlist — get patent alerts
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