FIELD OF INVENTION

[0001] Embodiments of a present disclosure relates to a data monitoring system, and more particularly to a system to monitor healthcare data in real time and method to operate.
BACKGROUND
[0002] Health data is sensitive and is treated in a way that guarantees privacy. Despite advances in many areas of technology, barriers still exist in assessing the relative health of a person in a rapid, cost effective, and timely manner. The increase in healthcare costs and prevalence of non-communicable diseases such as diabetes and cardiopulmonary diseases, is increased and the measure to control such diseases is important. However, in many areas of the world, access to physicians are limited. Even in the developed world, a physician’s time is considered a precious commodity and there are often long waiting lists and physician-to-specialist referral systems that have to be navigated before being seen. To gain access to medical professionals to receive information about one's health becomes very difficult.
[0003] In conventional approach, a typical way to treat health data is to upload the data to a computer server. A plurality of patients feels more comfortable if the health data of a plurality of patients are stored at home. However, the transmission of one or more data creates a problem of data authenticity. Further, verification of a third-party agent is also checked so that the data is not tampered with. More effective way to provide a secure platform for quick interaction.
[0004] Hence, there is a need for an improved system to monitor healthcare data and method to operate and therefore address the aforementioned issues.
BRIEF DESCRIPTION
[0005] In accordance with one embodiment of the disclosure, a system to monitor healthcare data is provided. The system includes a data processing subsystem. The data processing subsystem includes a retrieving module. The retrieving module is configured to retrieve one or more healthcare data from at least one electronic device of a user in real time.
[0006] The data processing subsystem also includes an analysis module. The analysis module is operatively coupled to retrieving module. The analysis module is configured to analysis the one or more healthcare data by an analysis technique. A memory subsystem is operatively coupled to the data processing subsystem. The memory subsystem is configured to store one or more analysed healthcare data and the one or more healthcare data on a block chain platform.
[0007] The data processing subsystem also includes a monitoring module. The monitoring module is operatively coupled to memory subsystem. The monitoring module is configured to monitor the one or more analysed healthcare data.
[0008] In accordance with one embodiment of the disclosure, a method to operate a system to monitor healthcare data is provided. The method includes retrieving one or more healthcare data from at least one electronic device of a user in real time. The method also includes analysing the one or more healthcare data by an analysing technique. The method also includes storing one or more analysed healthcare data and the one or more healthcare data on a blockchain platform. The method also includes monitoring one or more analysed healthcare data. The method also includes notifying the one or more analysed healthcare data to one or more user’s devices.
[0009] To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.
BRIEF DESCRIPTION OF THE DRAWINGS
[0010] The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:
[0011] FIG. 1 is a block diagram representation of a system to monitor healthcare data in accordance with an embodiment of the present disclosure;
[0012] FIG. 2 is a schematic representation of an embodiment representing the system to monitor healthcare data of FIG. 1 in accordance of an embodiment of the present disclosure;
[0013] FIG. 3 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure; and
[0014] FIG. 4 is a flowchart representing the steps of a method to operate a system to monitor healthcare data in accordance with an embodiment of the present disclosure.
[0015] Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.
DETAILED DESCRIPTION
[0016] For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated online platform, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.
[0017] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or subsystems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, subsystems, elements, structures, components, additional devices, additional subsystems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.
[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.
[0019] In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.
[0020] Embodiments of the present disclosure relate to a system to monitor healthcare data. The system includes a data processing subsystem. The data processing subsystem includes a retrieving module. The retrieving module is configured to retrieve one or more healthcare data from at least one electronic device of a user in real time.
[0021] The data processing subsystem also includes an analysis module. The analysis module is operatively coupled to retrieving module. The analysis module is configured to analyse the one or more healthcare data by an analysis technique. A memory subsystem is operatively coupled to the data processing subsystem. The memory subsystem is configured to store one or more analysed healthcare data and the one or more healthcare data on a blockchain platform.
[0022] The data processing subsystem also includes a monitoring module. The monitoring module is operatively coupled to memory subsystem. The monitoring module is configured to monitor the one or more analysed healthcare data.
[0023] FIG. 1 is a block diagram representation of a system to monitor healthcare data (10) in accordance with an embodiment of the present disclosure. As used herein, the term “healthcare” is the maintenance or improvement of health via the prevention, diagnosis, and treatment of disease, illness, injury, and other physical and mental impairments in people. In one embodiment, health data is any data related to health conditions, reproductive outcomes, causes of death, and quality of life for an individual or population.
[0024] The system to monitor healthcare data (10) includes a data processing subsystem (20). The data processing subsystem (20) includes a retrieving module (40). The retrieving module (40) is configured to retrieve one or more healthcare data from at least one electronic device of a user in real time.
[0025] In one embodiment, at least one electronic device comprises a set of textrodes and one or more sensors. In such embodiment, wherein the at least one electronic device is knitted, woven or, embroidered in a wearable smart sensing fabric.
[0026] As used herein, the wearable smart sensing fabric, which is also referred as electronic textile, a smart garment, a smart clothing, a smart textile, or a smart fabric is defined as a type of fabric that has modern computer based technology woven into it, by weaving conductive threads or, conductive yarns into the fabric.
[0027] In one specific embodiment, the wearable smart sensing fabric may be composed of a polyester lycra fabric. In another embodiment, the set of textrodes may be composed of a material consisting of conductive Shieldex® “P130+B”, a 2D stretchable, synthetic wrap-knitted silver coated fabric. In another embodiment, the set of the textrodes may be composed of conductive yarn based on stainless steel fibres (30%).
[0028] In another embodiment, the wearable smart sensing fabric may be designed including, but not limited to, as a vest, a shirt, a T-shirt, a jacket or a top. In another embodiment, the wearable smart sensing fabric may be designed as a functional garment which may be used for physiological sensing in several disciplines such as sports, firefighting, military and medicine.
[0029] Furthermore, as used herein, a textrode is defined as a type of conductive electrode made of textile materials to measure electrical signals, which are then transmitted through textile’s conductive paths to a electronic circuit board for further processing. The structure of textile electrodes is usually made of conductive yarns by weaving, knitting, or embroidering processes; or, by coating or, orienting conductive polymers on non-conductive fabrics. In such embodiments, the set of textrodes knitted or, woven or, embroidered in the garment by using an electrochemical cell has lowest contact resistance and may be used to monitor vital signs and other physiological parameters of the user’s body.
[0030] In one embodiment, the set of textrodes enable measurement of thoracic electrical bioimpedance (TEB). As used herein, the term “thoracic electrical bioimpedance (TEB)” is defined as a measure of fluid accumulation in lungs that is detected by the changes in thoracic bioimpedance, and other hemodynamic parameters such as cardiac output, stroke volume, thoracic fluid content, stroke index etc. of the user’s body.
[0031] Furthermore, the set of textrodes includes at least two first textrodes. In one embodiment, the at least two first textrodes may include a first voltage sensing textrode and a first current injecting textrode. In one embodiment, the at least two second textrodes may include a second voltage sensing textrode and a second current injecting textrode.
[0032] In one alternative embodiment, the wearable smart sensing fabric may further include one or more sensors which may be operatively coupled to one or more textrodes. The one or more sensors may be configured to sense one or more health signals from the user’s body. The one or more sensors may be used to measure at least one of an electrocardiogram signals, and a photoplethysmogram (PPG) signal originated from the user’s body, and one or more sensors (90) may be operatively coupled to an IMU sensor to measure motion and body temperature of the user. In another embodiment, the one or more sensors (90) may comprise a textrode.
[0033] The data processing subsystem (20) also includes an analysis module (50). The analysis module (50) is operatively coupled to retrieving module (40). The analysis module (50) is configured to analyse the one or more healthcare data by an analysis technique. In one such embodiment, the analysis technique includes at least one of artificial intelligence technique and a machine learning technique.
[0034] As used herein, “artificial intelligence” refers to sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals, such as visual perception, speech recognition, decision-making, and translation between languages. As used herein, “machine learning” refers to an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
[0035] In an exemplary embodiment, the one or more healthcare data is compared with authorized level of particular healthcare data for anomalies. In such embodiment, recommendations are provided for further use.
[0036] A memory subsystem (30) is operatively coupled to the data processing subsystem (20). The memory subsystem (30) is configured to store one or more analysed healthcare data and the one or more healthcare data on a blockchain platform. As used herein, the term “blockchain platform” refers to a decentralized, distributed and public digital ledger that is used to record transactions across many computers so that any involved record cannot be altered retroactively, without the alteration of all subsequent blocks. In one embodiment, the security of the one or more healthcare data is provided.
[0037] The data processing subsystem (20) also includes a monitoring module (60). The monitoring module (60) is operatively coupled to memory subsystem (30). The monitoring module (60) is configured to monitor the one or more analysed healthcare data. In one embodiment, any sudden anomalies may be checked and given feedback a user’s physician. In such embodiment, the one or more analysed healthcare data may be transmitted from one user to another in secure path via the blockchain platform.
[0038] Furthermore, in one embodiment, the monitoring may be done manual by the user physician or third party. In such embodiment, the user physician or the third party may be authorized after proper registration process.
[0039] The data processing subsystem (20) further comprises a notification module (not shown in FIG. 1). The notification module is operatively coupled to analysis module (50). The notification module configured to notify the one or more analysed healthcare data to one or more user’s devices. In one embodiment, notification may be provided by electronic mail or text message.
[0040] FIG. 2 is a schematic representation of an embodiment representing the system to monitor healthcare data (10) of FIG. 1 in accordance of an embodiment of the present disclosure. In one exemplary embodiment, a user X (90) needs constant monitoring of hemodynamic parameters. Here, healthcare data of the user X (90) may be retrieved from electronic device by a retrieval module (40).
[0041] In one exemplary embodiment, the electronic devices are embedded into a wearable smart sensing fabric of the user X (90). The electronic devices may be a set of textrodes and one or more sensors. In such exemplary embodiment, the electronic devices capture healthcare data in real time.
[0042] An analysis module (50) configured to analyse the one or more healthcare data by an analysis technique. Here, the analysis technique compares the authorised level of the set of hemodynamic parameters for a healthy user and the user X hemodynamic parameters. A monitoring module (60) constantly monitors the change in hemodynamic parameters with respect to the authorised level and if there is any fluid imbalance calculated using the change in the measured hemodynamic parameters with respect to the authorised level, notifies the user X physician or any third party by a notification module (65).
[0043] In such exemplary embodiment, the analysed healthcare data as well as retrieved health care data is stored in blockchain platform for extra security. Any authorized person may monitor or track such healthcare data.
[0044] The retrieving module (40), the analysis module (50) and the monitoring module (60) in FIG. 2 is substantially equivalent to the retrieving module (40), the analysis module (50) and the monitoring module (60) of FIG. 1.
[0045] FIG. 3 is a block diagram of a computer or a server (100) in accordance with an embodiment of the present disclosure. The server (100) includes processor(s) (130), and memory (110) coupled to the processor(s) (130).
[0046] The processor(s) (130), as used herein, means any type of computational circuit, such as, but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.
[0047] The memory (110) includes a plurality of modules stored in the form of executable program which instructs the processor (130) to perform the method steps illustrated in Fig 1. The memory (110) has following modules: a retrieving module (40), an analysis module (50) and a monitoring module (60). The retrieving module (40) is configured to retrieve one or more healthcare data from at least one electronic device of a user in real time. The analysis module (50) is configured to analyse the one or more healthcare data by an analysis technique. The monitoring module (60) is configured to monitor the one or more analysed healthcare data.
[0048] Computer memory elements may include any suitable memory device(s) for storing data and executable program, such as read only memory, random access memory, erasable programmable read only memory, electrically erasable programmable read only memory, hard drive, removable media drive for handling memory cards and the like. Embodiments of the present subject matter may be implemented in conjunction with program modules, including functions, procedures, data structures, and application programs, for performing tasks, or defining abstract data types or low-level hardware contexts. Executable program stored on any of the above-mentioned storage media may be executable by the processor(s) (130).
[0049] FIG. 4 is a flowchart representing the steps of a method to operate a system to monitor healthcare data (140) in accordance with an embodiment of the present disclosure. The method (140) includes retrieving one or more healthcare data from at least one electronic device of a user in real time in step 150. In one embodiment, retrieving the one or more healthcare data from the at least one electronic device of the user in real time includes retrieving the one or more healthcare data from the at least one electronic device of the user in real time by a retrieving module.
[0050] In another embodiment, retrieving the one or more healthcare data from the at least one electronic device of the user in real time includes retrieving the one or more healthcare data from the at least one electronic device by a set of textrodes and one or more sensors. In such embodiment, retrieving the one or more healthcare data from the at least one electronic device of the user in real time includes knitting, or, weaving, or, embroidering the set of textrodes and the one or more sensors in a wearable smart sensing fabric.
[0051] The method (140) also includes analysing the one or more healthcare data by an analysing technique in step 160. In one embodiment, analysing the one or more healthcare data by the analysing technique includes analysing the one or more healthcare data by an analysis module.
[0052] The method (140) also includes storing one or more analysed healthcare data and the one or more healthcare data on a blockchain platform in step 170. In one embodiment, storing the one or more analysed healthcare data and the one or more healthcare data on a block chain platform includes storing the one or more analysed healthcare data and the one or more healthcare data on the blockchain platform by a memory subsystem.
[0053] The method (140) also includes monitoring one or more analysed healthcare data in step 180. In one embodiment, monitoring the one or more analysed healthcare data includes monitoring the one or more analysed healthcare data by a monitoring module.
[0054] The method (140) also includes notifying the one or more analysed healthcare data to one or more user’s devices in step 190. In one embodiment, notifying the one or more analysed healthcare data to the one or more user’s devices includes notifying the one or more analysed healthcare data to the one or more user’s devices by a notification module.
[0055] Present disclosure of a system to monitor healthcare data provides a secure platform for sharing healthcare data. Any third-party agent tampering with the user healthcare data may be checked according to the requirement. Moreover, the present disclosure provides completely removes data authenticity problem. As the healthcare data are monitored in real time, less possibility of authenticity.
[0056] While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.
[0057] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependant on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.
,CLAIMS:1. A system to monitor healthcare data (10), comprising:
a data processing subsystem (20), comprising:
a retrieving module (40) configured to retrieve one or more healthcare data from at least one electronic devices of a user in real time;
an analysis module (50) operatively coupled to retrieving module (40), and configured to analyse the one or more healthcare data by an analysis technique;
a memory subsystem (30) operatively coupled to the data processing subsystem (20), and configured to store one or more analysed healthcare data and the one or more healthcare data on a block chain platform; and
a monitoring module (60) operatively coupled to memory subsystem (30), and configured to monitor the one or more analysed healthcare data;
2. The system (10) as claimed in claim 1, wherein the at least one electronic device comprises a set of textrodes and one or more sensors, wherein the at least one electronic device is embedded in a wearable smart sensing fabric.
3. The system (10) as claimed in claim 1, further comprising a notification module operatively coupled to analysis module (50), and configured to notify the one or more analysed healthcare data to one or more user’s devices.
4. A method to operate a system to monitor healthcare data (140), comprising:
retrieving, by a retrieving module, one or more healthcare data from at least one electronic devices of a user in real time (150);
analysing, by an analysis module, the one or more healthcare data by an analysing technique (160);
storing, by a memory subsystem, one or more analysed healthcare data and the one or more healthcare data on a block chain platform (170);
monitoring, by a monitoring module, the one or more analysed healthcare data (180); and
notifying, by a notification module, the one or more analysed healthcare data to one or more user’s devices (190).
5. The method (140) as claimed in claim 4, wherein retrieving the one or more healthcare data from at least one electronic devices of a user in real time comprises a set of textrodes and one or more sensors.
6. The method (140) as claimed in claim 5, further comprising embedding the set of textrodes and the one or more sensors in a wearable smart sensing fabric.