AU2021104518A4 - System and method for monitoring health of home isolated patient and automatically demanding health resources using artificial intelligence - Google Patents

Abstract

SYSTEM AND METHOD FOR MONITORING HEALTH OF HOME ISOLATED PATIENT AND AUTOMATICALLY DEMANDING HEALTH RESOURCES USING ARTIFICIAL INTELLIGENCE ABSTRACT The present invention relates to a system and method for monitoring health of home isolated patient and automatically demanding health resources using artificial intelligent technique. The objective of present invention is to solve the anomalies presented in the prior art techniques and technologies related to healthcare monitoring of patients who are home isolated due to a disease such as covid-19. The presents disclosure further fulfils the need of automatically demanding health resources prescribed by doctor at home. The whole process is completely automatic and based on artificial intelligent model. The present invention remotely monitors the home isolated patients using Biomedical sensor based smart wearable devices for collecting various physiological and health related parameters of the patient. These various health related parameters are taken periodically and updated to the server. The server is a smart machine which is based on artificial intelligent model. The collected data taken periodically related to a patient is analyzed and a graph related to said parameters is formed. Further the server machine is intelligent enough to find out abnormal pattern in the collected parameters using said graph. The server machine is also intelligent enough to detect any health-related issues using individual parameters also. If, the server machine detects any abnormal pattern in the collected data then the said data is sent to tied up doctors related to the patient. The doctors can also access the patient's data any time. The doctor prescribes the medication to the patient on the basis of data collected by the system. The server machine comprises prescription analysis module for analyzing the prescription and determines the health resources needed. The determined health resources are then automatically demanded from nearby available and registered health resource provider using the location of the patient and a notification is sent to the registered health care service provider along with the details of health resources demanded. The health care service provider accepts the demand and fulfils the demanded health resources as and when needed on priority basis at the location of the patient. In this way, the monitoring of home isolated patient becomes easy and patients get health services as and when needed seamlessly. 1 Smart Databases wearable (102) devices biomedical sensors (103) Central server (104) Communication network (101) User interface/mobile application (105) Health care service provider (106) Figure 1: Block diagram of system for home isolated patient monitoring and automatically demanding required health resources 1

Description

Smart Databases wearable (102) devices

biomedical sensors (103)

Central server (104) Communication network (101)

User interface/mobile application (105)

Health care service provider (106)

Figure 1: Block diagram of system for home isolated patient monitoring and automatically demanding required health resources

SYSTEM AND METHOD FOR MONITORING HEALTH OF HOME ISOLATED PATIENT AND AUTOMATICALLY DEMANDING HEALTH RESOURCES USING ARTIFICIAL INTELLIGENCE FIELD OF INVENTION

[0001] The present invention relates to the technical field of monitoring home isolated patient. The field of the invention is to monitor the home isolated patient and automatically demanding health resources using artificial intelligence.

[0002] More particularly, this present invention relates to the field of remotely monitoring the home isolated patients with regard to any health-related issues and automatically demanding the prescribed health resources using artificial intelligence technique in emergency.

BACKGROUND & PRIOR ART

[0003] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in-and-of themselves may also be inventions.

[0004] In this global pandemic situation due to covid-19 disease where most of the population of the world is affected by this disease. Patients are getting infected from the covid disease and health care service providers are unable to provide service at hospital due to limited bed availability at hospital. The major population of the world is affected by the disease and health system is collapsed and unable to fulfil the demands at time due to many constraints. Hence, the patients infected with such kind of disease are bound to home isolated themselves. But, monitoring of these home isolated patients timely and keenly is an important factor for providing timely and suitable treatment to these patients. Hence, periodic monitoring of home isolated patient is an important demand of this pandemic time.

[0005] The identification of symptoms and health related issues timely is a difficult task and a patient which is home isolated is not capable enough to monitor and identify the health-related issues. The collection/measurement of parameters related to the disease and inference of the values measured for and ordinary person is a difficult task. Further, a patient which is home isolated cannot contact to a doctor and consult with the values measured due to various constraints. Hence, there is a need of the system which can automatically and periodically monitor the various health related parameters and inter the values with respect to any abnormality.

[0006] Further, based on the data collected and prescribed medication by the doctor, the patient needs the prescribed health resources. The outing of the home isolated patient for accumulating health resources is a very risky task as they can infect other people also. Further, it is also not possible for the infected patient to go to market and collect the prescribed resources from the market. Hence, there is also a need of the system to automatically demand health resources from health care service provider and fulfil the requirements immediately. The proposed system here is based on artificial intelligence technique. Artificial intelligence is the latest technology that automates the human life and able to take decision intelligently. Artificial intelligence is an intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals. As the use of artificial intelligent models are increasing in every field for improving the effectiveness and correctness of the work to be done. The artificial intelligent models are based on various models that makes the said system more competent and capable in the said field. Machines can work and act like a human if they have enough information. So, in artificial intelligent models, knowledge engineering plays a vital role. The relation between objects and properties are established to implement knowledge engineering.

[0007] Hence, there is a need of a system and method based on artificial intelligence to monitor the home isolated patients and automatically demanding health resources from the registered health care service providers. There are various prior art that aim to resolve the said issue which are discussed below:

[0008] US8663106 B2 - A monitoring system comprises a module having at least one sensor and preferably skin and ambient temperature sensors within a housing. The device may be durable or disposable. The housing may be provided with certain surface features and shapes to facilitate mounting on and interface with the skin of the wearer for more accurate temperature measurement. A receiver may be provided to obtain and display data from the module. The module may also display the output data. The output data comprises both detected and derived data relating to physiological and contextual parameters of the wearer and may be transmitted directly to a local recipient or remotely over a communications network. The system is capable of deriving and predicting the occurrence of a number of physiological and conditional states and events and reporting the same as output data.

[0009] US8871095 B2 - A dialysis method comprising coding a wireless receiver of a dialysis machine with at least one of an address or a personal identification number ("PIN"); and receiving at least one of blood pressure data from a blood pressure monitor wirelessly or patient weight data from a weight scale wirelessly, wherein the at least one coded address or PIN ensures that the at least one of the blood pressure data or the patient weight data is received by the receiver as opposed to a receiver of another dialysis machine.

[0010] US20210113105 Al - A method and system for calculating, estimating, or monitoring the physiological parameters of a subject. At least one processor, when executing instructions, may perform one or more of the following operations. A first signal representing a pulse wave relating to heart activity of a subject may be received. A plurality of second signals representing time varying information on the pulse wave may be received. A blood oxygen level of the subject based on the plurality of second signals may be determined. A first feature in the first signal may be identified. A second feature in one of the pluralities of second signals may be identified. A pulse transit time based on a difference between the first feature and the second feature may be computed. A blood pressure of the subject may be calculated based on the pulse transit time.

[0011] US20170079582 Al - A method of determining a value of a physiological parameter for a subject at a selected state includes obtaining, via a device located a distance from the subject, a value of the physiological parameter of the subject at a particular time-of-day, and applying a time dependent relationship function to the obtained physiological parameter value via a processor to determine a value of the physiological parameter at the selected state.

[0012] US20180228435 Al - A wearable device for detecting and/or measuring physiological information from a subject includes a housing, at least one optical emitter supported by the housing, at least one optical detector supported by the housing, a first light guide supported by the housing, a second light guide supported by the housing, a motion sensor supported by the housing, and a processor supported by the housing. The processor is configured to calculate footsteps, distinguish footsteps from heart beats, and to remove footstep motion artifacts from signals produced by the at least one optical detector. Also, the processor is configured to process signals produced by the at least one optical detector to determine subject heart rate and to produce integrity data about the subject heart rate. The process is further configured to generate a multiplexed output serial data string comprising the subject heart rate and the integrity data.

[0013] US10834483 B2 - A biometric monitoring device configured to be worn by a subject includes a physiological sensor configured to detect and/or measure physiological information from the subject, and a processor configured to analyze signals from the physiological sensor to detect a signature unique to the subject wearing the biometric monitoring device, and determine if the detected signature is a first signature associated with the biometric monitoring device being worn or a second signature associated with the biometric monitoring device not being worn. The first and second signatures are generated by the processor prompting the subject to indicate at prior times when the biometric monitoring device is being worn and is not being worn.

[0014] US7536277 B2 - A system and method for monitoring, diagnosis and condition-based maintenance of mechanical systems. The disclosed systems and methods employ intelligent model-based diagnostic methodologies to effectuate such monitoring, diagnosis and maintenance. According to exemplary embodiments of the present disclosure, the intelligent model-based diagnostic methodologies combine or integrate quantitative (analytical) models and graph based dependency models to enhance diagnostic performance. The disclosed systems and methods may be employed a wide variety of applications, including automotive, aircraft, power systems, manufacturing systems, chemical processes and systems, transportation systems, and industrial machines/equipment.

[0015] US8764651 B2 - A heart monitoring system for a user includes a body wearable appliance placed on or near the user skin and having one or more sensors to capture fitness data and a wireless transceiver to communicate fitness data; and a processor coupled to the wireless transceiver to receive fitness data.

[0016] US20170347894 Al - A system and method for continuous monitoring of central (aortic) and peripheral Blood Pressure. The system includes a fully mobile, non-invasive, continuous blood pressure monitoring system that includes one or more Biostrip devices affixed on a user, coupled with an application running on a computing device, which is further connected to a web server in the cloud. The system performs various computations on the Biostrip device, or on the gateway device (Smartphone or Smartwatch), or on the Cloud, and provides the user and authorized third parties with various insights about the blood pressure levels of the user. Further, the system enables the user to receive biofeedback training for controlling hypertension, and schedule online appointments, pay online for such appointments, share data the data securely to obtain insights.

[0017] CN105832317 A - A system for measuring Stroke Volume (SV), Cardiac Output (CO) and heart force (CP) of a patient, the system having: 1) an impedance sensor connected to at least two electrodes having an impedance circuit that processes analog signals from the electrodes to measure an impedance signal (TBEV waveform); 2) an ECG sensor connected to at least two electrodes and comprising an ECG circuit that processes analog signals from the electrodes to measure an ECG signal; 3) an optical sensor connected to an optical probe and comprising an optical circuit that processes signals from the probe to measure at least one optical signal of the patient; 4) a processing system that analyzes the ECG, TBEV and optical signals in order to determine SV, the processing system typically being worn on the wrist of the patient and connected to the optical sensors by a wired interface, and to the TBEV and ECG sensors by a wired or wireless interface.

[0018] Besides this, there are various prior arts in the state of the art that claims to resolve the problem of monitoring the home isolated patients but the approach adopted for solving the same need to be further refined. Hence, there is a need to provide a method and system for monitoring home isolated patient using artificial intelligent technique and provide doctors facility as and when needed. Further, there is a need of the system that can automatically demand the health resources prescribed by the doctors at home as and when prescribed without any worry. The aim of the present invention is to resolve the above mentioned issued using artificial intelligent models automatically and timely monitor home isolated patient and automatically demanding health resources at home.

[0019] Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all Markus groups used in the appended claims.

[0020] As used in the description herein and throughout the claims that follow, the meaning of "a," "an," and "the" includes plural reference unless the context clearly dictate otherwise. Also, as used in the description herein, the meaning of "in" includes "in" and "on" unless the context clearly dictates otherwise.

[0021] The recitation of ranges of values herein is merely intended to serve as a shorthand method of referring individually to each separate value falling within the range. Unless otherwise indicated herein, each individual value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context.

[0022] The use of any and all examples, or exemplary language (e.g. "such as") provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.

[0023] The above information disclosed in this Background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.

SUMMARY OF THE INVENTION

[0024] Before the present systems and methods, are described, it is to be understood that this application is not limited to the particular systems, and methodologies described, as there can be multiple possible embodiments which are not expressly illustrated in the present disclosure. It is also to be understood that the terminology used in the description is for the purpose of describing the particular versions or embodiments only and is not intended to limit the scope of the present application. This summary is provided to introduce concepts related to systems and methods for Sybil detection in web data and the concepts are further described below in the detailed description. This summary is not intended to identify essential features of the claimed subject matter nor is it intended for use in determining or limiting the scope of the claimed subject matter.

[0025] The present invention mainly solves the technical problems existing in the prior art. In response to these problems, the present invention discloses a method and system for automatically and timely monitor the home isolated patient about any health-related issues and collect various physiological and health related parameters using biomedical sensors periodically which are updated to the server. The given solution is based on the artificial intelligent models which are competent enough to train themselves through the past scans/data and database provided to the said model on the server. The proposed invention comprises of central server which comprises of the initial database which is used to train the artificial intelligent model to automatically identity the any health-related anomalies based on the graph analysis data available related to the patient. The said system is trained enough using the test cases and databases that can identify any kind of health-related issues and infer the data available about the patient and detect timely any health abnormality and takes doctors consultation with respect to said data which is done through building a graph with respect to physiological and health data of a patient. The said model is backed with the database of patients monitored data. The said artificial intelligent model makes the server machine smart and intelligent. The collected data is used to make a graph of the patient's data which is used to analyze any abnormal pattern and detect any health issues timely.

[0026] The proposed invention comprises smart wearable devices which may be in the form smart watch, electronic tag, chest strap or any kind of smart wearable devices which are registered with the patients need to be monitored. These smart wearable devices gather the data/information continuously. The said data is locally stored within the small memory provided within the smart wearable device. These smart wearable devices comprise various biomedical sensors which automatically measures and records a plurality of physiological data from sensors in contact with the patient's body. The smart wearable device collects various kind of physiological and other parameters including but not limited to body temperature, heart rate variability, oxygen level (SpO2), motion, sleep, stress, fitness level, recovery level, effect of a workout routine on health, caloric expenditure etc. Further, these smart wearable devices periodically update the collected data to a database on the central server in which it is stored along with similar health histories for other patients. The said smart wearable devices communicates to the communication network through Bluetooth standard protocol. The collected data with respect to a patient is used to make a graph on the basis of collected parameters (i.e., physiological and health parameters) which is used to find out the abnormal pattern. The presence of abnormal pattern indicates the health issues or health degradation. The server machine is trained adequately to identify the abnormal pattern in the graph formed.

[0027] The present invention discloses a computer implemented method for monitoring home isolated patient for health-related anomaly and automatically demanding the required health resources at home, wherein the computer implemented method is performed by a computing unit, wherein the computing unit comprises a processor and memory, communication unit. The said system also comprises a central server which is equipped with the artificial intelligent model to automatically detect the abnormal pattern in graph related to a patient about any health abnormality. The computing unit is in communication with the central server via any communication means. The said computing device provide user interface to interact with the system and helps in registering the home isolated patients to be monitored. The said user interface may be in the form of mobile application also. Further, unique wearable devices are registered with the patients to collect various physiological and health related parameters of a patient. The computer implemented method comprising steps of: obtaining various physiological and health parameters periodically using biomedical sensors in smart wearable devices, transmitting the collected physiological and health parameters to the central server through communication network, generating graph of collected parameter related to a patient, detecting abnormal pattern through generated graph, sending an alert to the associated doctor related to the patient, doctor provides prescription on the basis of collected data, analyzing the prescription and determining the required health resources (i.e., medicines, blood test, healthcare devices or hospital admission requirement), demand is sent to nearest registered health care service providers regarding required health resources on the basis of location of the patient collected through smart wearable devices, health care service provider confirms the resource availability and then health care service provider fulfils the demanded resources at the patients location. The server machine is also intelligent enough to identify the health resources required based on the prescription available through doctor related to a patient. Further, a link is sent to the patient to pay the bill for demanded resources and when the patients pay the bill through the link provided, the demanded resources are fulfilled by the health care service provider. A payment related to doctors' consultation is also fulfilled in the same fashion.

[0028] An aspect of the present disclosure relates to a computer implemented method for monitoring home isolated patient and automatically demanding the required health resources, wherein the computing unit/mobile terminal comprises a processor and memory, communication unit and a user interface or mobile application to access the system, the method comprises: registering the patient, associating smart wearable devices with the patient, automatically obtaining various physiological and health parameters periodically using biomedical sensors in smart wearable devices, periodically transmitting the gathered data to the central server, generating graph with respect to gathered data of patient, identifying/detecting abnormal pattern indicative of health issues using generated graph and artificial intelligent model; sending alert/notification to the associated doctor to the patient in case of detection of abnormal pattern, doctors access the data related to patient using user interface or mobile application and provides prescription to the patient after successful payment of doctor's fees through link sent on patient registered mobile number, analyzing prescription through artificial intelligent model, determining the health resources required, transmitting the required health resources list to the nearby and registered health care service provider basis location of the patient, confirming availability of resources by the health care service provider and successful delivery of health resources demanded after successful payment of invoice amount through link sent on registered mobile number of patient. Thus, the proposed method provides complete and automatic monitoring of home isolated patients and automatically providing demanded health resources to the patient as prescribed on the location/premises of the patient where patient is home isolated.

[0029] Another aspect of the present disclosure relates to a system for monitoring home isolated patient and automatically demanding the required health resources, wherein the computing unit/mobile terminal comprises a processor and memory, communication unit and a user interface or mobile application to access the system, the method comprises: registering the patient, associating smart wearable devices with the patient, automatically obtaining various physiological and health parameters periodically using biomedical sensors in smart wearable devices, transmitting the gathered data to the central server, generating graph with respect to gathered data of patient, identifying/detecting abnormal pattern indicative of health issues using generated graph and artificial intelligent model; sending alert/notification to the associated doctor to the patient in case of detection of abnormal pattern, doctors access the data related to patient using user interface or mobile application and provides prescription to the patient after successful payment of doctor's fees through link sent on patient registered mobile number, analyzing prescription through artificial intelligent model, determining the health resources required, transmitting the required health resources list to the nearby and registered health care service provider basis location of the patient, confirming availability of resources by the health care service provider and successful delivery of health resources demanded after successful payment of invoice amount through link sent on registered mobile number of patient. The embodiments of said system are physiological and health data gathering module, graph generation module, graph analysis module, prescription analysis module, health resource demand generating module.

[0030] This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

OBJECTIVE OF THE INVENTION

[0031] A primary object of the present invention is to provide a method for monitoring home isolated patients and automatically demanding the required health resources using artificial intelligent technique and data collection related to patient using smart wearable devices equipped with various biomedical sensors.

[0032] Yet another object of the present invention is to provide a system for monitoring home isolated patient and automatically demanding the required health resources using artificial intelligent technique and data collection related to patient using smart wearable devices equipped with various biomedical sensors. The said system provides real-time monitoring and treatment to save lives of home isolated patient besides their valuable time and effort.

BRIEF DESCRIPTION OF DRAWINGS

[0033] To clarify various aspects of some example embodiments of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It is appreciated that these drawings depict only illustrated embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail through the use of the accompanying drawings.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiments belong. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing, suitable methods and materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and not intended to be limiting.

[0035] In order that the advantages of the present invention will be easily understood, a detail description of the invention is discussed below in conjunction with the appended drawings, which, however, should not be considered to limit the scope of the invention to the accompanying drawings, in which:

[0036] Figure 1 shows block-diagram of the system for home isolated patient monitoring and automatically demanding required health resources as per the embodiments of the present invention.

[0037] Figure 2 shows a flow-diagram of computer implemented method for monitoring home isolated patient and automatically demanding required resources in accordance with the present invention.

DETAIL DESCRIPTION

[0038] The present invention relates to a computer implemented method and system for monitoring post covid patient using machine learning model and block chain technique.

[0039] Although the present disclosure has been described with the purpose of monitoring post covid patient using machine learning model and block chain technique, it should be appreciated that the same has been done merely to illustrate the invention in an exemplary manner and to highlight any other purpose or function for which explained structures or configurations could be used and is covered within the scope of the present disclosure.

[0040] Some embodiments of this disclosure, illustrating all its features, will now be discussed in detail. The words and other forms thereof are intended to be open ended in that an item or items following any one of these words is not meant to be an exhaustive listing of such item or items, or meant to be limited to only the listed item or items. It must also be noted that as used herein and in the appended claims, the singular forms "a," "an," and "the" include plural references unless the context clearly dictates otherwise. Although any systems and methods similar or equivalent to those described herein can be used in the practice or testing of embodiments of the present disclosure, the exemplary systems and methods are now described. The disclosed embodiments are merely exemplary of the disclosure, which may be embodied in various forms.

[0041] Various modifications to the embodiment will be readily apparent to those skilled in the art and the generic principles herein may be applied to other embodiments. However, one of ordinary skill in the art will readily recognize that the present disclosure is not intended to be limited to the embodiments illustrated, but is to be accorded the widest scope consistent with the principles and features described herein.

[0042] Figure 1 show a block-diagram of the system for home isolated patient monitoring and automatically demanding required health resources as per the embodiments of the present invention. According to the present invention, the said system comprises smart wearable devices (103) for collecting timely and automatically physiological and other health related parameters using biomedical sensors. Patient or user can also input the data by accessing the said system using mobile application or user interface if any. The data collected by the smart wearable devices is captured periodically. The collected data is periodically transmitted to the central server via the network means. The said network means may be WiFi/Bluetooth/LAN/WAN or any other technology used for transmitting the data from one location to the another. The smart wearable devices may be smart watches, electronic tag, chest strip or any kind of smart wearable device. The communication network (101) helps in transmitting and receiving data to and from the other embodiments of the system. The said communication network may be WiFi/Bluetooth/LAN/WAN. The databases (102) reside at the central server which is used to train the central server according to the adopted artificial intelligent model and helps the central server in analyzing and identifying/inferring the gathered data. The central server (104) uses artificial intelligent model and process the data according to the present invention. The said central server is trained using the past data provided in the database and test cases. The computing unit (105) helps as a user interface to the user and aids in accessing the said system. Further, the expert/doctor and user/patient can access the said system using mobile application also.

[0043] Figure 2 shows the flow-diagram of computer implemented method for monitoring home isolated patient and automatically demanding required resources in accordance with the present invention. The computer implemented method first Train central server using database/test cases according to machine learning model at step 201. The smart wearable devices collect data periodically related to physiological and other health related parameters using various kinds of biomedical sensors at step 202. The captured or collected data related to patient may be but not limited to body temperature, oxygen level (SpO2), heart rate variability, motion, sleep, stress, fitness level, recovery level, effect of a workout routine on health, caloric expenditure or any kind of health-related parameter. The computer implemented method further comprising the steps of: periodically and automatically transmitting the collected data to the central server at step 203. The server machine then generates a graph based on the collected data related to a patient and detect any abnormal pattern related to any health issues based on artificial intelligent model at step 204. The server then alerts the associated doctor to the corresponding patient after detection of abnormal pattern and doctor provide/feeds the prescription based on the data available about the patient after success payment of doctor's consultation fee through link sent on registered mobile number of the patient at step 205. The doctor can also call the patient on the registered mobile number while providing prescription. The prescription is then analyzed and the health resources are determined using artificial intelligent model at step 206. The server machine then automatically demands the required health resources from the registered nearby health care service providers to the system based on the location of the patient at step 207. The health care service providers are already registered to the system. The server machine is also intelligent enough to find out the health care service providers and their services on the basis of data available to the internet and send a request to such health care service provider to join the said system. The location of the patient is accessed through the smart wearable devices having capability of providing the location of the patient to the system. The health care service provider then confirms the availability of the demanded resources and sends a payment link to the registered mobile number of the patient along with the details of the invoice. When the patient makes the payment, the healthcare service provider fulfil the demanded health resources to the patient at their location.

[0044] 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 dependent 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.

[0045] Although implementations for invention have been described in a language specific to structural features and/or methods, it is to be understood that the appended claims are not necessarily limited to the specific features or methods described. Rather, the specific features and methods are disclosed as examples of implementations for the invention.

Claims (5)

CLAIMS We claim:

1. A computer implemented method for monitoring home isolated patient and automatically demanding required health resources using artificial intelligent model, wherein the computer implemented method is performed by a computing unit proving user interface or mobile application for accessing system, wherein the computing unit comprises a processor, a memory communication unit, wherein the computer implemented method comprising steps of: train the central server using databases and test cases (201); capture periodically physiological and health related parameter through smart wearable devices having biomedical sensors (202); transmitting collected data periodically to central server (203); generating graph based on collected data of a patient and detecting abnormal pattern in collected data related to patient using artificial intelligent model (204); alarming/notifying to associated doctor of patient while detecting abnormal pattern and doctor feed prescription to the system after successful payment of consultation fee (205); analysing prescription and determining required health resources using artificial intelligent model (206); demanding required health resources from registered nearby health care service provider based on location of patient (207); confirming availability and fulfilling required health resources after successful payment of invoice related to required health resources (208).

2. The computer implemented method as claimed in claim 1, wherein physiological or health related parameters are but not limited to body temperature, oxygen level (SpO2), heart rate variability, motion, sleep, stress, fitness level, recovery level, effect of a workout routine on health, caloric expenditure.

3. The computer implemented method as claimed in claim 1, wherein the communication network may be based on the WiFi, Bluetooth, Local Area Network, Wide Area Network or the combination thereof and smart wearable devices may be but not limited to smart watch, electronic tag, chest strip.

4. The computer implemented method as claimed in claim 1, wherein the central server works on artificial intelligent model to detect abnormal pattern and determining required health resources through prescription.

5. A system for monitoring home isolated patient and automatically demanding required health resources using artificial intelligent model, wherein the computer implemented method is performed by a computing unit proving user interface or mobile application for accessing system, wherein the computing unit comprises a processor, a memory communication unit, the system comprising: a communication network (101) to transmit/receive data from other embodiments of the system; database (102) to train the central server according to the machine learning model; smart wearable devices having various biomedical sensor (103) to continuously collect physiological or health parameters; a central server (104) to analyze and process received data and analyze the abnormal pattern; a computing unit (105) providing user interface or mobile application for accessing the system; healthcare service providers (106) for fulfilling required health resources; physiological and health data gathering module for acquiring and collecting various physiological and health parameters of a patient; graph generation module for generating graph based on current and past data collected related to a patient; graph analysis module for detecting abnormal pattern in graph; prescription analysis module for analyzing and determining health resources required; and health resource demand generating module for generating and fulfilling demanded health resources.

Smart Databases wearable (102) devices with biomedical sensors (103)

Central 2021104518

server (104) Communication network (101)

User interface/mobile application (105)

Health care service provider (106)

Figure 1: Block diagram of system for home isolated patient monitoring and automatically demanding required health resources

Train central server using database and test cases according to artificial intelligent model (201)

Collect physiological and health data by smart wearable devices having biomedical sensors periodically (202) 2021104518

automatically transmitting gathered data to central server using communication network (203)

Generating graph and detecting abnormal pattern in using artificial intelligent model (204)

Alert associated doctor after detection of abnormal pattern and doctor provides prescription after consultation fee payment (205)

Analyzing prescription and determining health resources needed (206)

Demanding health resources required from registered nearby health care service provider based on location of patient (207)

Confirming availability of health resources by service provider and delivering said resources after successful payment (208)

Figure 2 – Flow-diagram of the method for monitoring home isolated patient and automatically demanding required resources