System, method and computer-implemented platform for providing patient-related information
Embodiments pertain to a computer-implemented platform for providing at least one user with information associated with at least one patient undergoing dialysis treatment, using a dialysis system. In some examples, the platform comprises an I/O device configured to receive patient initial input data relating to at least one patient, the patient initial input data being descriptive of a physical characteristic of the at least one patient. In some examples, the I/O device is further configured to receive updated monitoring data of the patient, the updated monitoring data being received during a dialysis treatment of the at least one patient. The platform may further comprise an analysis engine configured to determine whether the received updated monitoring data is indicative of an anomalous parameter value of the physical characteristic or not.
1 . A computer-implemented platform for providing information associated with at least one patient undergoing dialysis treatment, using a dialysis system, the platform comprising:
an I/O device configured to receive patient initial input data relating to at least one patient, the patient initial input data being descriptive of a physical characteristic of the at least one patient; and
wherein the I/O device is further configured to receive, from at least one sensor of the dialysis system, updated monitoring data of the patient, the updated monitoring data being received during a dialysis treatment of the at least one patient;
processor; and
a memory configured to store software executable by the processor to enable performing the following, in real-time or substantially in real-time, at least with respect to the received updated monitoring data:
determining whether the received updated monitoring data is indicative of an anomalous parameter value of the physical characteristic or not;
and, for received updated monitoring data that is indicative of an anomalous parameter value:
distinguishing, for a certain physical characteristic, between an anomalous parameter value that is dialysis-related and an anomalous parameter value that is non-dialysis related; and
providing an output to indicate which anomalous parameter value is dialysis-related and which not, and
providing a treatment step with respect to identifying an anomalous parameter value as being dialysis-related,
wherein the treatment step is provided in real-time or near real-time with respect to the identifying.
2 . The computer-implemented platform of claim 1 , wherein providing an output comprises displaying one or more objects in association with information about dialysis-related and non-dialysis related anomalous physical characteristics.
3 . The computer-implemented platform of claim 1 ,
wherein the dialysis system is further configured to perform the following:
determining, based on the received initial patient data, a risk level of the at least one patient for suffering from dialysis treatment complications; and
updating the risk level to an increased risk level when the dialysis system determines that the anomalous physical characteristics is not related to the dialysis treatment.
4 . The computer-implemented platform of claim 1 , wherein the anomalous physical characteristic is increased patient weight; and
wherein the dialysis system is configured to monitor ultrafiltration parameter values and bowl activity to determine whether increased patient weight is due to food intake, digestive disorder, insufficient ultrafiltration, or both.
5 . The computer-implemented platform of claim 1 , wherein the I/O device comprises a camera for determining, based on an indentation in patient's tissue, whether an increase in weight is at least partially due to edema caused by insufficient ultrafiltration.
6 . The computer-implemented platform of claim 1 , wherein the dialysis system is configured to determine a first amount of an increase in weight that is caused by food intake and further a second amount of an increase in weight that is caused by dialysis.
7 . The computer-implemented platform of claim 1 , further configured to monitor operational parameters values of the dialysis system for detecting one or more dialysis system related impediments.
8 . The computer-implemented platform of claim 1 , wherein the dialysis system is further configured to determine whether a non-dialysis related anomalous physical characteristic has a potential to adversely affect or is presently adversely affecting a dialysis-related physical characteristic or not.
9 . The computer-implemented platform of claim 1 , wherein the dialysis system is further configured to determine whether a dialysis related anomalous physical characteristic has a potential to adversely affect or is presently adversely affecting a non-dialysis related physical characteristic or not.
10 . The computer-implemented platform of claim 1 , wherein the dialysis system is configured to classify detected anomalous characteristics into one of the following:
non-dialysis-related physical characteristic that does adversely affect dialysis related physical characteristics; and
dialysis-related physical characteristic that does adversely affect non-dialysis related physical characteristics.
11 . The computer-implemented platform of claim 1 , wherein an anomalous physical characteristics is defined as related to the dialysis treatment, when the respective anomalous physical characteristics puts the respective patient at risk of developing one or more dialysis treatment related complications.
12 . The computer-implemented platform of claim 1 , configured to determine, based on measuring values relating to operating system parameters of the dialysis system, a level of adherence of a patient undergoing a recommended treatment regime.
13 . The computer-implemented platform of claim 3 , wherein the dialysis system is further configured to identify the one or more anomalous physical characteristics, by comparing at least some of the initial input data with the monitoring data of the respective patient and/or by comparing at least some of the monitoring data of the patient to one or more thresholds defining a normal and abnormal physical state.
14 . The computer-implemented platform of claim 1 , wherein the dialysis system is further configured to simultaneously analyze initial input data and monitoring data for a multiplicity of patients undergoing dialysis treatments, and a display device is configured to display, to the at least one user, a combined monitoring display, visually indicative of output information of multiple patients undergoing dialysis treatments.
15 . The computer-implemented platform of claim 1 , wherein the dialysis system is configured to predict, based on patient data received at the platform during a recent monitored time interval, an onset of complications related to peritoneal patient treatment and predict an estimated future time stamp or future time interval of the onset of such complications.
16 . A method for providing information associated with at least one patient undergoing dialysis treatment, using a dialysis system, comprises:
receiving for the at least one patient, patient initial input data, the patient initial input data being descriptive of physical information of the respective at least one patient;
determining, based on the initial input data, an initial risk level of the respective patient;
receiving monitoring data of the respective patient in real time or near real time, the monitoring data being indicative of the dialysis treatment of the respective patient;
processing, in real-time or substantially in real-time, the patient initial input data, the initial risk level of the respective patient and the monitoring data of the respective patient;
determining, in real-time or substantially in real-time at least with respect to the receiving of the received monitoring data, whether the received updated monitoring data is indicative of an anomalous parameter value of the physical characteristic or not;
distinguishing, for a certain physical characteristic, between a received updated monitoring data that is indicative of an anomalous parameter value that is dialysis-related and an anomalous parameter value that is non-dialysis related;
providing an output to indicate which anomalous parameter value is dialysis-related and which not; and
providing a treatment step with respect to detecting an anomalous parameter value that is dialysis-related,
wherein the treatment step is provided in real-time or near real-time with respect to the detection of the dialysis-related anomaly.
17 . The method of claim 16 , wherein providing the output comprises displaying one or more objects in association with information about dialysis-related and non-dialysis related anomalous physical characteristics.
18 . The method of claim 16 , configuring a display device to selectively display or not display information about non-dialysis related anomalous physical characteristics.
19 . The method of claim 16 , wherein at least part of the monitoring data of the respective patient is received via one or more measuring devices, each measuring device being configured to detect one or more dialysis parameters values associated with the dialysis treatment of the patient in real time (RT) or near real time (NRT).
20 . The method of claim 16 , wherein the determining of the updated risk level of the patient comprises deciding to change the patient's risk level only upon identification of anomalous physical characteristics that are directly related to the dialysis treatment that the respective patient undergoes.