Claims:1. A system (100) for monitoring health condition and providing healthcare services comprising:
a processing subsystem (105) hosted on a server (108), wherein the processing subsystem (105) is configured to execute on a network to control bidirectional communications among a plurality of modules comprising:
a health data acquisition module (110) configured to acquire a plurality of health vitals associated with a patient via a wearable device;
a centralised health analysis module (120) operatively coupled to the health data acquisition module (110), wherein the centralised health analysis module (120) is configured to:
process raw health data representative of the plurality of health vitals acquired from the patient using a data processing technique; and
detect deviation in the raw health data representative of each of the plurality of health vitals from each of a corresponding threshold limit of health vitals upon processing the raw health data;
a health alert generation module (130) operatively coupled to the centralised health analysis module (120), wherein the health alert generation module (130) is configured to:
predict a risk associated with health condition of the patient in real-time based on the deviation in the raw health data representative of each of the plurality of health vitals detected; and
generate a health alert in one or more formats to notify one or more healthcare providers for providing healthcare service to the patient based on the risk associated with the health condition of the patient predicted; and
a health monitoring device (140) communicatively coupled to the processing subsystem (105), wherein the health monitoring device (140) comprises an image acquisition unit (145) and a display interface (150), wherein the health monitoring device (140) is configured to:
receive the health alert generated associated with the health condition of the patient via the display interface;
actuate from a docking point to hover around a body part of the patient for thermal screening of the patient using the image acquisition unit based on the health alert received when the patient is mobile and responds to an interaction; and
send a doppler probe to a predefined zone marked in a neck of the patient for providing the healthcare service when the patient is immobile and unresponsive to the interaction.
2. The system (100) as claimed in claim 1, wherein the plurality of health vitals comprises at least one of blood pressure, body temperature, respiration rate, pulse rate, glucose level or a combination thereof.
3. The system (100) as claimed in claim 1, wherein the wearable device comprises a mid-arm sleeve housing a digital blood pressure cuff, a pulse oximeter, a glucometer, an electrocardiogram monitor, a primary battery, a secondary battery or a combination thereof.
4. The system (100) as claimed in claim 1, wherein the data processing technique comprises at least one of data collection, data cleaning, data pre-processing, data transformation in a predefined format and data storage.
5. The system (100) as claimed in claim 1, wherein the one or more formats of the health alert comprises an alarm, a call, a push notification, a pop-up notification or an electronic mail.
6. The system (100) as claimed in claim 1, wherein the one or more healthcare providers comprises at least one of a nurse, a doctor, a paramedical staff, a humanoid robotic assistant or a combination thereof.
7. The system (100) as claimed in claim 1, wherein the health monitoring device (140) comprises an unmanned aerial vehicle.
8. The system (100) as claimed in claim 1, wherein the health monitoring device (140) is operated by using a remote-control device.
9. A method (300) comprising:
acquiring, by a health data acquisition module of a processing subsystem, a plurality of health vitals associated with a patient via a wearable device (310);
processing, by a centralised health analysis module of the processing subsystem, raw health data representative of the plurality of health vitals acquired from the patient using a data processing technique (320);
detecting, by the centralised health analysis module of the processing subsystem, deviation in the raw health data representative of each of the plurality of health vitals from each of a corresponding threshold limit of health vitals upon processing the raw health data (330);
predicting, by a health alert generation module of the processing subsystem, a risk associated with health condition of the patient in real-time based on the deviation in the raw health data representative of each of the plurality of health vitals detected (340);
generating, by the health alert generation module of the processing subsystem, a health alert in one or more formats to notify one or more healthcare providers for providing healthcare service to the patient based on the risk associated with the health condition of the patient predicted (350);
receiving, by a health monitoring device, the health alert generated associated with the health condition of the patient via the display interface (360);
actuating the health monitoring device from a docking point to hover around a body part of the patient for thermal screening of the patient using the image acquisition unit based on the health alert received when the patient is mobile and responds to an interaction (370); and
sending a doppler probe to a predefined zone marked in a neck of the patient for providing the healthcare service when the patient is immobile and unresponsive to the interaction (380).

Dated this 24th day of August 2021

Signature

Harish Naidu
Patent Agent (IN/PA-2896)
Agent for the Applicant
, Description:BACKGROUND
[0001] Embodiments of the present disclosure relate to a system automated health monitoring and more particularly to a system and a method for monitoring health condition and providing healthcare service.
[0002] Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human’s health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients based on monitoring of the psychological and health conditions of the patients. Various systems are available which monitors the health condition of the patient and provides the healthcare service according to one or more requirements.
[0003] Conventionally, the health monitoring systems which are available receives one or more health parameters of the patient through multiple sources and such health parameters are collected, fused, and analysed for diagnosis and treatment of patients. However, such a conventional system provides healthcare service to the patients upon diagnosis via one or more healthcare professionals which further increases requirement of skilled healthcare professionals for each and every department. Also, such a conventional system collects the one or more health parameters of the patients through a wired connection medium, wherein the patients under critical care are always hooked onto a number of wires, which is not only cumbersome but also decreases ease of movement of the patient. Therefore, shifting of the patients for investigation process and even to the restroom makes it difficult and sometimes surveillance of the patients also becomes critical to manage.
[0004] Hence, there is a need for an improved system and a method for monitoring health condition and providing healthcare service in order to address the aforementioned issues.
BRIEF DESCRIPTION
[0005] In accordance with an embodiment of a present disclosure, a system for monitoring health condition and providing healthcare service is disclosed. The system includes a processing subsystem hosted on a server, wherein the processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes a health data acquisition module configured to acquire a plurality of health vitals associated with a patient via a wearable device. The processing subsystem also includes a centralised health analysis module operatively coupled to the health data acquisition module. The centralised health analysis module is configured to process raw health data representative of the plurality of health vitals acquired from the patient using a data processing technique. The centralised health analysis module is also configured to detect deviation in the raw health data representative of each of the plurality of health vitals from each of a corresponding threshold limit of health vitals upon processing the raw health data. The processing subsystem also includes a health alert generation module operatively coupled to the centralised health analysis module. The health alert generation module is configured to predict a risk associated with health condition of the patient in real-time based on the deviation in the raw health data representative of each of the plurality of health vitals detected. The health alert generation module is also configured to generate a health alert in one or more formats to notify one or more healthcare providers for providing healthcare service to the patient based on the risk associated with the health condition of the patient predicted. The processing subsystem also includes a health monitoring device communicatively coupled to the processing subsystem. The health monitoring device includes an image acquisition unit and a display interface, wherein the health monitoring device is configured to receive the health alert generated associated with the health condition of the patient via the display interface. The health monitoring device is also configured to actuate from a docking point to hover around a body part of the patient for thermal screening of the patient using the image acquisition unit based on the health alert received when the patient is mobile and responds to an interaction. The health monitoring device is also configured to send a doppler probe to a predefined zone marked in a neck of the patient for providing the healthcare service when the patient is immobile and unresponsive to the interaction.
[0006] In accordance with another embodiment of the present disclosure, a method for monitoring health condition and providing healthcare service is disclosed. The method includes acquiring, by a health data acquisition module of a processing subsystem, a plurality of health vitals associated with a patient via a wearable device. The method also includes processing, by a centralised health analysis module of the processing subsystem, raw health data representative of the plurality of health vitals acquired from the patient using a data processing technique. The method also includes detecting, by the centralised health analysis module of the processing subsystem, deviation in the raw health data representative of each of the plurality of health vitals from each of a corresponding threshold limit of health vitals upon processing the raw health data. The method also includes predicting, by a health alert generation module of the processing subsystem, a risk associated with health condition of the patient in real-time based on the deviation in the raw health data representative of each of the plurality of health vitals detected. The method also includes generating, by the health alert generation module of the processing subsystem, a health alert in one or more formats to notify one or more healthcare providers for providing healthcare service to the patient based on the risk associated with the health condition of the patient predicted. The method also includes receiving, by a health monitoring device, the health alert generated associated with the health condition of the patient via the display interface. The method also includes actuating the health monitoring device from a docking point to hover around a body part of the patient for thermal screening of the patient using the image acquisition unit based on the health alert received when the patient is mobile and responds to an interaction. The method also includes sending a doppler probe to a predefined zone marked in a neck of the patient for providing the healthcare service when the patient is immobile and unresponsive to the interaction.
[0007] 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
The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:
[0008] FIG. 1 is a block diagram of a system for monitoring health condition and providing healthcare service in accordance with an embodiment of the present disclosure;
[0009] FIG. 2 is a schematic representation of an exemplary embodiment of a system for monitoring health condition and providing healthcare service of FIG. 1 in accordance with an embodiment of the present disclosure;
[0010] FIG. 3 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure; and
[0011] FIG. 4 (a) and FIG. 4 (b) is a flow chart representing the steps involved in a method for monitoring health condition and providing healthcare service in accordance with an embodiment of the present disclosure.
[0012] 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
[0013] 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 system, 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.
[0014] 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 sub-systems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, 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.
[0015] 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.
[0016] 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.
[0017] Embodiments of the present disclosure relate to a system and a method for monitoring health condition and providing healthcare service. The system includes a processing subsystem hosted on a server, wherein the processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes a health data acquisition module configured to acquire a plurality of health vitals associated with a patient via a wearable device. The processing subsystem also includes a centralised health analysis module operatively coupled to the health data acquisition module. The centralised health analysis module is configured to process raw health data representative of the plurality of health vitals acquired from the patient using a data processing technique. The centralised health analysis module is also configured to detect deviation in the raw health data representative of each of the plurality of health vitals from each of a corresponding threshold limit of health vitals upon processing the raw health data. The processing subsystem also includes a health alert generation module operatively coupled to the centralised health analysis module. The health alert generation module is configured to predict a risk associated with health condition of the patient in real-time based on the deviation in the raw health data representative of each of the plurality of health vitals detected. The health alert generation module is also configured to generate a health alert in one or more formats to notify one or more healthcare providers for providing healthcare service to the patient based on the risk associated with the health condition of the patient predicted. The processing subsystem also includes a health monitoring device communicatively coupled to the processing subsystem. The health monitoring device includes an image acquisition unit and a display interface, wherein the health monitoring device is configured to receive the health alert generated associated with the health condition of the patient via the display interface. The health monitoring device is also configured to actuate from a docking point to hover around a body part of the patient for thermal screening of the patient using the image acquisition unit based on the health alert received when the patient is mobile and responds to an interaction. The health monitoring device is also configured to send a doppler probe to a predefined zone marked in a neck of the patient for providing the healthcare service when the patient is immobile and unresponsive to the interaction.
[0018] FIG. 1 is a block diagram of a system (100) for monitoring health condition and providing healthcare service in accordance with an embodiment of the present disclosure. The system (100) includes a processing subsystem (105) hosted on a server (108). In one embodiment, the server (108) may include a cloud server. In another embodiment, the server (108) may include a local server. The processing subsystem (105) is configured to execute on a network (not shown in FIG. 1) to control bidirectional communications among a plurality of modules. In one embodiment, the network may include a wired network such as local area network (LAN). In another embodiment, the network may include a wireless network such as Wi-Fi, Bluetooth, Zigbee, near field communication (NFC), infra-red communication (RFID) or the like.
[0019] The processing subsystem (105) includes a health data acquisition module (110) configured to acquire a plurality of health vitals associated with a patient via a wearable device. In one embodiment, the plurality of health vitals may include at least one of blood pressure, body temperature, respiration rate, pulse rate, glucose level or a combination thereof. In some embodiment, the wearable device may include a mid-arm sleeve housing a digital blood pressure cuff, a pulse oximeter, a glucometer, an electrocardiogram monitor, a primary battery, a secondary battery or a combination thereof. In another embodiment, the wearable device may include a wrist band, a fitness band, a smart watch, a neck band, a waist band, a shoulder band and the like.
[0020] The processing subsystem (105) also includes a centralised health analysis module (120) operatively coupled to the health data acquisition module (110). The centralised health analysis module (120) is configured to process raw health data representative of the plurality of health vitals acquired from the patient using a data processing technique. As used herein, the term ‘raw health data’ is defined as one or more values of each of the health vitals collected for creating a health record of the patient. In one embodiment, the data processing technique may include at least one of data collection, data cleaning, data pre-processing, data transformation in a predefined format and data storage. For example, the raw health data may include an unfiltered format of the data collected from the patient through sensors, one or more wearable devices and the like.
[0021] The centralised health analysis module (120) is also configured to detect deviation in the raw health data representative of each of the plurality of health vitals from each of a corresponding threshold limit of health vitals upon processing the raw health data. As used herein, the term ‘threshold limit of health vitals’ is defined as a standard level, or an ideal benchmark set corresponding to each of the health parameters of a healthy individual. In one embodiment, the deviation may include an increase in level of the health data from each of the corresponding threshold limit of the health vitals. In another embodiment, the deviation may include a decrease in the level of the level of the health data from each of the corresponding threshold limit of the health vitals.
[0022] The processing subsystem (105) also includes a health alert generation module (130) operatively coupled to the centralised health analysis module (120). The health alert generation module (130) is configured to predict a risk associated with health condition of the patient in real-time based on the deviation in the raw health data representative of each of the plurality of health vitals detected. The health alert generation module (130) is also configured to generate a health alert in one or more formats to notify one or more healthcare providers for providing healthcare service to the patient based on the risk associated with the health condition of the patient predicted. In one embodiment, the one or more formats of the health alert may include an alarm, a call, a push notification, a pop-up notification or an electronic mail (e-mail). In a particular embodiment, the one or more healthcare providers may include at least one of a nurse, a doctor, a paramedical staff, a humanoid robotic assistant or a combination thereof.
[0023] The system (100) also includes a health monitoring device (140) communicatively coupled to the processing subsystem (105). The health monitoring device (140) includes an image acquisition unit (145) and a display interface (150). The health monitoring device (140) is configured to receive the health alert generated associated with the health condition of the patient via the display interface. In a specific embodiment, the health monitoring device may be an unmanned aerial vehicle (UAV) capable of travel without a physically present human operator and performing one or more operations for providing customised healthcare services. In such embodiment, the health monitoring device is operated by using a remote-control device. In one embodiment, the display interface may include an interactive monitor of a computer. In another embodiment, the display interface may include a notepad, a tablet, a personal digital assistant (PDA) and the like. In such embodiment, the display interface may be also utilised for entertainment purpose by the patient.
[0024] The health monitoring device (140) is also configured to actuate from a docking point to hover around a body part of the patient for thermal screening of the patient using the image acquisition unit based on the health alert received when the patient is mobile and responds to an interaction. In one embodiment, the image acquisition unit may include, but not limited to, an infrared camera, a visual camera and the like. The health monitoring device (140) is also configured to send a doppler probe to a predefined zone marked in a neck of the patient for providing the healthcare service when the patient is immobile and unresponsive to the interaction. As used herein, the term ‘doppler probe’ is s a non-invasive test that can be used to estimate the blood flow through your blood vessels by bouncing high-frequency sound waves (ultrasound) off circulating red blood cells. In one embodiment, the healthcare service may include, but not limited to, a checking of pulse rate, measuring blood pressure and the like.
[0025] FIG. 2 is a schematic representation of an exemplary embodiment of a system (100) for monitoring health condition and providing healthcare service of FIG. 1 in accordance with an embodiment of the present disclosure. Considering an example, wherein a patient is admitted in a non-critical care unit. In such a scenario, in the non-critical care unit, for monitoring of the patient the system (100) is utilised as a supporting factor along with a healthcare professional. The system (100) helps in decreasing a need for skilled healthcare professional. For monitoring health condition of the patient, the system (100) tracks real-time health vitals of the patient (102). For collecting a plurality of health vitals of the patient (102), the system (100) includes a health data acquisition module (110) which is hosted on a processing subsystem (105), wherein the processing subsystem is hosted on a cloud server. The processing subsystem (105) communicates among a plurality of modules via a wireless communication network (115). For example, the plurality of health vitals may include at least one of blood pressure, body temperature, respiration rate, pulse rate, glucose level or a combination thereof. Such plurality of health vitals are acquired from the patient via a wearable device. In the example used herein, the wearable device may include a mid-arm sleeve housing a digital blood pressure cuff, a pulse oximeter, a glucometer, an electrocardiogram monitor, a primary battery, a secondary battery or a combination thereof.
[0026] Once, the plurality of health vitals is received, a centralised health analysis module (120) processes raw health data representative of the plurality of health vitals acquired from the patient using a data processing technique. For example, the data processing technique includes at least one of data collection, data cleaning, data pre-processing, data transformation in a predefined format and data storage. Again, the centralised health analysis module (120) detects deviation in the raw health data representative of each of the plurality of health vitals from each of a corresponding threshold limit of health vitals upon processing the raw health data. Here, the deviation may either include an increase in level of the health data from each of the corresponding threshold limit of the health vitals. In another scenario, the deviation may include a decrease in the level of the level of the health data from each of the corresponding threshold limit of the health vitals.
[0027] Based on the deviation in the raw health data representative of each of the plurality of health vitals, a health alert generation module (130) predicts a risk associated with health condition of the patient in real-time. The health alert generation module (130) also generates a health alert in one or more formats to notify one or more healthcare providers for providing healthcare service to the patient based on the risk associated with the health condition of the patient predicted. For example, the one or more formats of the health alert may include an alarm. In the example used herein, the one or more healthcare providers may include at least one of a nurse, a doctor, a paramedical staff, a humanoid robotic assistant or a combination thereof.
[0028] Further, upon receiving the health alert generated, a health monitoring device (140) such as an unmanned aerial vehicle (UAV), actuates from a docking point to hover around a body part of the patient for thermal screening of the patient using the image acquisition unit based on the health alert received when the patient is mobile and responds to an interaction. For example, the image acquisition unit (145) may include, but not limited to, an infrared camera, a visual camera and the like. The health monitoring device (140) also includes a display interface (150). For example, the display interface may include an interactive monitor of a computer. In another embodiment, the display interface may include a notepad, a tablet, a personal digital assistant (PDA) and the like. Again, the health monitoring device (140) is also configured to send a doppler probe to a predefined zone marked in a neck of the patient for providing the healthcare service when the patient is immobile and unresponsive to the interaction. The doppler probe sent to predefined zone marked in neck point shall have a sticker with magnetic pointers over it indicating the carotid artery and help in aligning with the probe. Thus, the health monitoring device which is a flying drone, or the UAV helps in continuous monitoring as well as providing immediate healthcare service to the patient without requirement of manual intervention.
[0029] FIG. 3 is a block diagram of a computer or a server in accordance with an embodiment of the present disclosure. The server (200) includes processor(s) (230), and memory (210) operatively coupled to the bus (220). The processor(s) (230), 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.
[0030] The memory (210) includes several subsystems stored in the form of executable program which instructs the processor (230) to perform the method steps illustrated in FIG. 1. The memory (210) includes a processing subsystem (105) of FIG.1. The processing subsystem (105) further has following modules: a health data acquisition module (110), a centralised health analysis module (120) and a health alert generation module (130).
[0031] The health data acquisition module (110) configured to acquire a plurality of health vitals associated with a patient via a wearable device. The centralised health analysis module (120) is configured to process raw health data representative of the plurality of health vitals acquired from the patient using a data processing technique. The centralised health analysis module (120) is also configured to detect deviation in the raw health data representative of each of the plurality of health vitals from each of a corresponding threshold limit of health vitals upon processing the raw health data. The health alert generation module (130) is configured to predict a risk associated with health condition of the patient in real-time based on the deviation in the raw health data representative of each of the plurality of health vitals detected. The health alert generation module (130) is also configured to generate a health alert in one or more formats to notify one or more healthcare providers for providing healthcare service to the patient based on the risk associated with the health condition of the patient predicted.
[0032] The bus (220) as used herein refers to be internal memory channels or computer network that is used to connect computer components and transfer data between them. The bus (220) includes a serial bus or a parallel bus, wherein the serial bus transmits data in bit-serial format and the parallel bus transmits data across multiple wires. The bus (220) as used herein, may include but not limited to, a system bus, an internal bus, an external bus, an expansion bus, a frontside bus, a backside bus and the like.
[0033] FIG. 4 (a) and FIG. 4 (b) is a flow chart representing the steps involved in a method (300) for monitoring health condition and providing healthcare service in accordance with an embodiment of the present disclosure. The method (300) includes acquiring, by a health data acquisition module of a processing subsystem, a plurality of health vitals associated with a patient via a wearable device in step 310. In one embodiment, acquiring the plurality of health vitals associated with the patient may include acquiring at least one of blood pressure, body temperature, respiration rate, pulse rate, glucose level or a combination thereof. In some embodiment, acquiring the plurality of health vitals associated with the patient may include acquiring the plurality of health vitals via a mid-arm sleeve housing a digital blood pressure cuff, a pulse oximeter, a glucometer, an electrocardiogram monitor, a primary battery, a secondary battery or a combination thereof.
[0034] The method (300) also includes processing, by a centralised health analysis module of the processing subsystem, raw health data representative of the plurality of health vitals acquired from the patient using a data processing technique in step 320. In one embodiment, processing the raw health data representative of the plurality of health vitals acquired from the patient may include processing the raw health data representative of the plurality of health vitals using the data processing technique which includes at least one of data collection, data cleaning, data pre-processing, data transformation in a predefined format and data storage.
[0035] The method (300) also includes detecting, by the centralised health analysis module of the processing subsystem, deviation in the raw health data representative of each of the plurality of health vitals from each of a corresponding threshold limit of health vitals upon processing the raw health data in step 330. In one embodiment, detecting the deviation in the raw health data representative of each of the plurality of health vitals from each of the corresponding threshold limit of health vitals may include detecting the deviation including an increase in level of the health data from each of the corresponding threshold limit of the health vitals. In another embodiment, detecting the deviation in the raw health data representative of each of the plurality of health vitals from each of the corresponding threshold limit of health vitals may include detecting the deviation including a decrease in the level of the level of the health data from each of the corresponding threshold limit of the health vitals.
[0036] The method (300) also includes predicting, by a health alert generation module of the processing subsystem, a risk associated with health condition of the patient in real-time based on the deviation in the raw health data representative of each of the plurality of health vitals detected in step 340. The method (300) also includes generating, by the health alert generation module of the processing subsystem, a health alert in one or more formats to notify one or more healthcare providers for providing healthcare service to the patient based on the risk associated with the health condition of the patient predicted in step 350. In one embodiment, generating the health alert in the one or more formats to notify the one or more healthcare providers for providing the healthcare service may include generating the health alert in the one or more formats including, but not limited to, an alarm, a call, a push notification, a pop-up notification or an electronic mail (e-mail). In some embodiment, the one or more healthcare providers may include at least one of a nurse, a doctor, a paramedical staff, a humanoid robotic assistant or a combination thereof.
[0037] The method (300) also includes receiving, by a health monitoring device, the health alert generated associated with the health condition of the patient via the display interface in step 360. The method (300) also includes actuating the health monitoring device from a docking point to hover around a body part of the patient for thermal screening of the patient using the image acquisition unit based on the health alert received when the patient is mobile and responds to an interaction in step 370. The method (300) also includes sending a doppler probe to a predefined zone marked in a neck of the patient for providing the healthcare service when the patient is immobile and unresponsive to the interaction in step 380.
[0038] Various embodiments of the present disclosure provides an internet of things (IoT) based system for patient risk assessment and early warning sign alert. Therefore, replaces existing monitor sounds resulting in background noise pollution with direct healthcare personal alarm.
[0039] Moreover, the present disclosed system replaces existing monitors with notepads, which also function as telemedicine interface for the patient and virtual interaction portal for friends and family also doubling up as entertainment interface thereby leads to easy integration into paperless ICUs of a hospital or a nursing home.
[0040] Furthermore, the present disclosed system because of the health monitoring unmanned aerial vehicle helps in providing immediate healthcare service to the patient in case of requirement and provides freedom from wires that are hooked onto a monitor, thereby enables ease of patient movement.
[0041] It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the disclosure and are not intended to be restrictive thereof.
[0042] 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.
[0043] 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, the 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.