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WO2016193879A1 - Procédé et système pour apporter une solution de soins de santé à distance à un utilisateur en temps réel - Google Patents

Procédé et système pour apporter une solution de soins de santé à distance à un utilisateur en temps réel Download PDF

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Publication number
WO2016193879A1
WO2016193879A1 PCT/IB2016/053122 IB2016053122W WO2016193879A1 WO 2016193879 A1 WO2016193879 A1 WO 2016193879A1 IB 2016053122 W IB2016053122 W IB 2016053122W WO 2016193879 A1 WO2016193879 A1 WO 2016193879A1
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WIPO (PCT)
Prior art keywords
user
data
monitoring system
health monitoring
response
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PCT/IB2016/053122
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English (en)
Inventor
Kaushik YEACHAREDDY
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Individual
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Individual
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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/20—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H70/00—ICT specially adapted for the handling or processing of medical references
    • G16H70/60—ICT specially adapted for the handling or processing of medical references relating to pathologies

Definitions

  • the present disclosure generally relates to health monitoring. Particularly but not exclusively, the present disclosure relates to a method and system for providing remote healthcare solution to a user in real-time.
  • the individual should always be within network range to contact the monitoring system for help. But there might be situations where the individual is in a remote area and his condition is critical. Due to the lack of proper mobile network, the individual may not be able to contact the monitoring systems. In such situations, the individual may not receive the necessary help and may lose his life.
  • a health monitoring system receives first data comprising symptoms of the user and second data comprising user profile of the user.
  • the health monitoring system provides one or more queries to the user that contains logic to identify correct disease of the user by eliminating the irrelevant diseases. Therefore, the health monitoring system identifies the disease of the user correctly based on the first data, the second data and response obtained from the user for one or more queries of the health monitoring system.
  • the present disclosure provides a method for providing remote healthcare solution to a user in real-time. The method comprises receiving, by a health monitoring system, first data and second data related to the user. Further, the health monitoring system receives response from the user for one or more queries of the health monitoring system.
  • the one or more queries are provided in response to the first data and the second data.
  • the health monitoring system maps at least one of the first data, the second data and the response with predefined symptom data to identify a disease of the user.
  • the predefined symptom data is stored in a healthcare database associated with the health monitoring system.
  • the health monitoring system Upon identifying the disease, the health monitoring system provides one or more remedies corresponding to the identified disease and one or more instructions related to the one or more remedies to the user. Further, the health monitoring system provides information related to one or more medicines associated with the one or more remedies along with information related to one or more medical outlets associated with present location information of the user.
  • the health monitoring system monitors the user to check if the user is following the one or more instructions correctly in real-time, wherein the monitoring is performed until the identified disease is cured.
  • the present disclosure comprises a health monitoring system for providing remote healthcare solution to a user in real-time.
  • the health monitoring system comprises a processor and a memory communicatively coupled to the processor, wherein the memory stores the processor-executable instructions, which, on execution, causes the processor to receive first data and second data related to the user.
  • the processor is configured to receive response from the user for one or more queries of the health monitoring system. The one or more queries are provided in response to the first data and the second data.
  • the processor Upon receiving the response, the processor is configured to map at least one of the first data, the second data and the response with predefined symptom data to identify a disease of the user.
  • the predefined symptom data is stored in a healthcare database associated with the health monitoring system.
  • the processor is configured to provide one or more remedies corresponding to the identified disease and one or more instructions related to the one or more remedies to the user.
  • the processor is configured to provide information related to one or more medicines associated with the one or more remedies along with information related to one or more medical outlets associated with present location information of the user.
  • the processor is configured to monitor the user to check if the user is following the one or more instructions correctly in real-time, wherein the monitoring is performed until the identified disease is cured.
  • Fig.l shows an exemplary architecture for providing remote healthcare solution to a user in real-time in accordance with some embodiments of the present disclosure
  • Fig.2 shows a detailed block diagram of a health monitoring system for providing remote healthcare solution to a user in real-time in accordance with some embodiments of the present disclosure
  • Fig.3 illustrates a flowchart showing method for providing remote healthcare solution to a user in real-time in accordance with some embodiments of the present disclosure
  • Fig.4 is a block diagram of an exemplary computer system for implementing embodiments consistent with the present disclosure. It should be appreciated by those skilled in the art that any block diagrams herein represent conceptual views of illustrative systems embodying the principles of the present subject matter. Similarly, it will be appreciated that any flow charts, flow diagrams, state transition diagrams, pseudo code, and the like represent various processes which may be substantially represented in computer readable medium and executed by a computer or processor, whether or not such computer or processor is explicitly shown. DETAILED DESCRIPTION
  • a health monitoring system receives first data and second data related to the user.
  • the first data comprises data related to one or more symptoms of the user received from a user device associated with the user and the second data comprises user profile extracted from a healthcare database associated with the health monitoring system.
  • the health monitoring system retrieves one or more diseases related to the first data from the healthcare database and stores it in a memory associated with the health monitoring system.
  • the health monitoring system provides one or more queries to the user and the user responds to the one or more queries through existing one or more hardware devices/modules of the user device. If the response is not received, the health monitoring system alerts a third party present in the predefined distance range.
  • the health monitoring system Upon receiving the response from the user, the health monitoring system maps at least one of the first data, second data and the response with predefined symptom data to identify disease of the user.
  • the predefined symptom data is stored in the healthcare database.
  • the health monitoring system Upon identifying the disease, the health monitoring system provides one or more remedies corresponding to the identified disease and one or more instructions related to the one or more remedies to the user. Further, the health monitoring system provides information related to one or more medicines associated with the one or more remedies along with information related to one or more medical outlets associated with present location information of the user. Finally, the health monitoring system monitors the user to check if the user is following the one or more instructions correctly in real-time. The monitoring is performed until the identified disease is cured.
  • the user can use the health monitoring system even when the user is out of network range by providing one or more predefined datasets.
  • the accompanying drawings that form a part hereof, and in which are shown by way of illustration specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.
  • Fig.l shows an exemplary architecture for providing remote healthcare solution to a user in real-time in accordance with some embodiments of the present disclosure.
  • the architecture 100 comprises a user 101, a user device 103, a communication network 105, a health monitoring system 107 and a healthcare database 115.
  • the user 101 may be any person who can operate the user device 103.
  • the user device 103 may include, but not limited to, a mobile, a tablet, a laptop and a Personal Computer (PC).
  • the user device 103 is associated with the user 101.
  • one or more hardware devices/ modules of the user device 103 may be used by the health monitoring system 107 for health monitoring of the user 101.
  • the one or more hardware devices may include, but not limited to camera and microphone.
  • the camera of the user device 103 may be used to capture behaviour/actions of the user 101 and data associated with behaviour/actions of the user 101 is provided to the health monitoring system 107 through the user device 103.
  • the microphone may be used by the user 101 to provide data associated with health issues faced by the user 101 to the health monitoring system 107.
  • the user device 103 communicates with the health monitoring system 107 through the communication network 105.
  • the communication network 105 may be at least one of a wired communication network and a wireless communication network.
  • the health monitoring system 107 comprises a processor 109, a user interface 111 and a memory 113.
  • the I/O interface 111 is configured to receive first data 104 provided by the user 101 from the user device 103 and second data 114 from the healthcare database 115.
  • the first data 104 may include, but not limited to, data associated with one or more symptoms of the user 101.
  • the one or more symptoms may be high body temperature, body pains, loss of appetite etc.
  • the received first data 104 is stored in the memory 113.
  • the second data 114 may include, but not limited to, user profile extracted from the healthcare database 115. The user profile is created by the user 101.
  • creating the user profile is a one-time process which is performed by the user 101 when the health monitoring system 107 was used first time.
  • the user 101 may update the user profile when the requirement arises.
  • the memory 113 is communicatively coupled to the processor 109.
  • the healthcare database 115 may be present within the health monitoring system 107 or the healthcare database 115 may be associated with the health monitoring system 107.
  • the processor 109 Based on at least one of the first data 104, the second data 114 and response of the user 101 to one or more queries of the processor 109, the processor 109 identifies disease of the user 101.
  • the first data 104, the second data 114 and the response can be used to identify the disease in any order or in any combination.
  • the processor 109 Upon identifying the disease, the processor 109 provides one or more remedies corresponding to the identified disease and one or more instructions related to the one or more remedies to the user 101. The processor 109 then provides information related to one or more medicines along with information related to one or more medical outlets associated with present location information of the user 101. The one or more medicines are associated with the one or more remedies. Finally, the processor 109 monitors the user 101 in real-time until the identified disease is cured to check whether the user 101 is following the one or more instructions correctly.
  • Fig.2 shows a detailed block diagram of a health monitoring system for providing remote healthcare solution to a user in real-time in accordance with some embodiments of the present disclosure.
  • the health monitoring system 107 receives data from the user device 103 associated with the user 101 and a healthcare database 115 associated with the health monitoring system 107.
  • the data 203 may be stored in a memory 113 configured in the health monitoring system 107.
  • data 203 comprises first data 104, second data 114, query data 209, response data 211, predefined symptom data 213, one or more predefined datasets 215 and other data 219.
  • modules 205 are described here in detail.
  • the data 203 may be stored in the memory 113 in the form of various data structures. Additionally, the aforementioned data 203 can be organized using data models, such as relational or hierarchical data models.
  • the other data 219 may store data, including temporary data and temporary files, generated by modules 205 for performing the various functions of the health monitoring system 107.
  • the first data 104 is related to the user 101.
  • the first data 104 may include, but not limited to, data associated with one or more symptoms of the user 101. As an example, if the user 101 is suffering from fever, the one or more symptoms may be high body temperature, body pains, loss of appetite etc.
  • the first data 104 may include, but not limited to, audio data like voice sample of the user 101, cough pattern of the user 101 etc., video data like video clip streaming a condition of the user 101 etc., image data like image of a wound of the user 101, image of eye of the user 101 indicating infection etc. and text data like a text message from the user 101 etc.
  • the second data 114 is related to the user 101.
  • the second data 114 comprises user profile of the user 101 extracted from healthcare database 115 associated with the health monitoring system 107.
  • the user profile may include, but not limited to, name of the user 101, date of birth of the user 101, age of the user 101, gender of the user 101, weight of the user 101, height of the user 101, blood group of the user 101, prior diseases of the user 101, allergies of the user 101, address of the user 101 and contact details of one or more recipients such as relatives of the user 101, friends of the user 101, family doctor of the user 101, emergency services, recorded voice of the user 101 etc.
  • the voice may be recorded by the user 101 using a microphone of the user device 103.
  • the query data 209 comprises one or more queries of the health monitoring system 107.
  • the one or more queries are provided to the user 101 in response to the first data 104.
  • the one or more queries may be in different forms.
  • the different forms of the one or more queries may include, but not limited to, audio format, video format, image format and text format.
  • the response data 211 comprises response of the user 101 to the one or more queries of the health monitoring system 107.
  • the response of the user 101 may be in different forms.
  • the different forms of the response may include, but not limited to, audio format, video format, image format and text format.
  • the predefined symptom data 213 comprises one or more diseases and one or more predefined symptoms of the one or more diseases.
  • the predefined symptom data 213 also comprises possible causes of the one or more diseases.
  • the predefined symptom data 213 comprises one or more remedies corresponding to the one or more diseases and one or more instructions related to the one or more remedies.
  • the one or more instructions indicate step by step method of the one or more remedies.
  • predefined symptom data 213 also comprises information related to one or more medicines associated with the one or more remedies.
  • Exemplary predefined symptom data 213 is as shown in the below Table 1. SI.
  • the one or more predefined datasets 215 comprise customized predefined symptom data.
  • the customized predefined symptom data comprises one or more diseases, corresponding one or more symptoms, one or more remedies, one or more instructions and one or more medicines, based on type of location.
  • the predefined dataset may be a mountain pack.
  • the customized predefined symptom data present in the mountain pack may be related to the one or more diseases anticipated in that location.
  • the one or more diseases expected in that location may be asthma, common cold, knee injury etc.
  • the one or more predefined datasets 215 are retrieved by the user 101 only when the user 101 is going to visit any location which may not have network coverage for the user device 103 to communicate with the health monitoring system 107.
  • the data stored in the memory 113 is processed by the modules 205 of the health monitoring system 107.
  • the modules 205 may be stored within the memory 113.
  • the modules 205 communicatively coupled to a processor 109 configured in the health monitoring system 107, may also be present outside the memory 113 as shown in Fig.2 and implemented as hardware.
  • the term module refers to an application specific integrated circuit (ASIC), an electronic circuit, a processor (shared, dedicated, or group) and memory that execute one or more software or firmware programs, a combinational logic circuit, and/or other suitable components that provide the described functionality.
  • ASIC application specific integrated circuit
  • the modules 205 may include, for example, a receiving module 223, a filtering module 225, a query providing module 227, a mapping module 229, a remedy providing module 231, a health monitoring module 233, an alerting module 235 and other modules 237.
  • the other modules 237 may be used to perform various miscellaneous functionalities of the health monitoring system 107. It will be appreciated that such aforementioned modules 205 may be represented as a single module or a combination of different modules.
  • the receiving module 223 receives the first data 104 from the user device 103.
  • the user device 103 may include, but not limited to, a mobile, a tablet, a laptop and a Personal Computer (PC).
  • the receiving module 223 receives the second data 114.
  • the second data 114 is extracted from a healthcare database 115 associated with the health monitoring system 107.
  • the filtering module 225 retrieves a disease list comprising the one or more diseases from the predefined symptom data 213 based on the first data 104 provided by the user 101 and stores it in the memory 113. Upon retrieving the disease list, the filtering module 225 eliminates the one or more diseases that the user 101 may not be suffering with based on the second data 114. As an example, if the user 101 is suffering from stomach pain. The filtering module 225 retrieves the disease list comprising the one or more diseases related to stomach pain. One of the one or more diseases may be "Menstrual cramps".
  • the filtering module 225 eliminates the disease "Menstrual cramps" since the filtering module 225 learns from the second data 114 that the user 101 is of male gender whereas the diseases "Menstrual cramps" is related to female gender.
  • the query providing module 227 provides one or more queries to the user 101 in response to the first data 104 and the second data 114. As an example, if the user 101 is having a severe headache which is considered as the first data 104.
  • the query providing module 227 may provide one or more queries such as "Are you feeling dizzy?", "do you have pain just above your eyes?", "do you have pain only on one side of your head".
  • the one or more queries are stored in the memory 113.
  • the query providing module 227 may select the one or more queries from the memory 113.
  • the one or more queries may be dynamically generated by the query providing module 227 based on the first data 104 and the second data 114.
  • the query providing module 227 requests for a response from the user 101 within a predefined time interval.
  • the predefined time interval may be 5 minutes. If the user 101 provides response to the one or more queries within the predefined time interval, then the query providing module 227 activates the mapping module 229. If the user 101 does not provide response within the predefined time interval, then the query providing module 227 activates the alerting module 235.
  • the mapping module 229 maps at least one of the first data 104, the second data 114 and the response with the predefined symptom data 213. Based on the mapping, the filtering module 225 eliminates the one or more diseases that may not be concerned with the user 101. After many iterations of providing the one or more queries and eliminating the one or more diseases, finally, the mapping module 229 identifies disease of the user 101. In an embodiment, if the mapping is not successful i.e. if the mapping module 229 cannot identify the disease of the user 101, the mapping module 229 forwards the first data 104, the second data 114 and the response to a healthcare professional. The healthcare professional correctly identifies the disease and provides the one or more remedies to the user 101, in real-time.
  • the user 101 may directly choose using the I/O interface 111 to directly talk with the healthcare professional and speed up the process.
  • the mapping module 229 activates the remedy providing module 231 only if the condition of the user 101 having the identified disease is mild. If the condition of the user 101 having the identified disease is critical, then the remedy providing module 231 activates the alerting module 235.
  • the mapping module 229 may decide on criticality of the condition of the user 101 based on the one or more queries. In another embodiment, for some of the one or more diseases, the criticality of the condition of the user 101 can be decided by transforming the user device 103 to include functionality of a sensor or a measuring device.
  • criticality of the condition of the user 101 for heart related diseases can be learnt by transforming the user device 103 to include the functionality of an Electro Cardiogram (ECG).
  • ECG Electro Cardiogram
  • the functionality of the ECG may include, but not limited to, detect abnormal heart rate of the user 101 and detecting a heart attack and corresponding criticality of the heart attack.
  • the remedy providing module 231 provides one or more remedies corresponding to the identified disease to the user 101.
  • the remedy providing module 231 also provides one or more instructions related to the one or remedies to the user 101.
  • the user 101 should adhere to the one or more instructions.
  • the remedy providing module 231 provides information related to one or more medicines associated with the one or more remedies.
  • information related to the one or more medicines may be name of the medicine, composition of the medicine, type of the medicine, number of medicines, when the user 101 has to intake the medicine, what type of food can the user 101 eat while under medication etc.
  • the remedy providing module 231 provides information related to one or more medical outlets associated with present location of the user 101.
  • information related to the one or more medical outlets may be name of the medical outlet, location of the medical outlet, route map for the medical outlet, opening and closing time of the medical outlet etc.
  • the health monitoring module 233 monitors the user 101 continuously to check if the user 101 is following the one or more instructions correctly.
  • the user 101 himself or any other individual associated with the user 101 may record a video of the one or more instructions being followed by the user 101, using one or more hardware devices/modules of the user device 103 such as camera. If the user 101 is not following the one or more instructions correctly, the health monitoring module 233 alerts the user 101 and advises the user 101 to follow the one or more instructions correctly. Further, the health monitoring module 233 continuously monitors the user 101 until the identified disease is cured. As an example, consider the user 101 is suffering from a disease "Tonsils", and the user 101 is not supposed to consume cold items.
  • the health monitoring module 233 while continuously monitoring the user 101, based on present location information of the user 101 learns that the user 101 is in an ice cream parlour. The health monitoring module 233 immediately alerts the user 101 not to consume any cold items. Further, the health monitoring module 233 will set a timer using the one or more hardware devices/modules of the user device 103. The timer is set to notify the user 101 to intake the one or more medicines at the correct time. Further, the health monitoring module 233 also recommends one or more sensors that the user 101 may require based on the identified disease.
  • the alerting module 235 alerts about condition of the user 101. Based on the identified disease, if, the mapping module 229 learns that the user 101 is in a critical condition, then the alerting module 235 alerts the one or more recipients. Further, the alerting module 235 provides the present location information and route map of the corresponding present location information to the one or more recipients. As an example, consider the user 101 is in a critical condition due to a disease "Cardiac Arrest". Upon identifying that the user 101 is suffering from the disease "Cardiac arrest", the alerting module 235 immediately alerts about the condition of the user 101 to a nearby hospital and ensures the dispatch of ambulance to the present location of the user 101.
  • the alerting module 235 may also alert relatives of the user 101.
  • the alerting module 235 determines presence of a third party within a predefined distance range from the present location of the user 101.
  • the third party may be any individual present within the predefined distance range from the present location of the user 101.
  • the alerting module 235 alerts the third party about presence of the user 101 within the predefined distance range.
  • the alerting module 235 may alert the third party in different forms.
  • the different forms of alerting may include, but not limited to, providing a high pitch alarm from the user device 103 and emitting light from the user device 103.
  • the user 101 may call the third party for help.
  • the user 101 activates the health monitoring system 107 for help, but may not be able to respond for the one or more queries of the query providing module 227 within the predefined time interval.
  • the alerting module 235 senses the presence of the third party within 50 metre distance and provides a high pitch alarm to alerts the third party about the user 101.
  • the third party may come to the location from where the high pitch alarm originated and rescues the user 101.
  • the user 101 is not in a condition to use the health monitoring system 107 in the user device 103 say for example, the user has a disease "Cardiac arrest" and may not be able to use the health monitoring system 107 to provide response to the one or more queries of the health monitoring system 107.
  • user device of at least one of the third party and the one or more recipients is used to transfer the second data 114 from the user device 103 of the user 101 through a communication protocol such as Near field communication (NFC).
  • NFC Near field communication
  • the health monitoring system 107 further identifies the disease and continues with flow of the process.
  • the user 101 of male gender is suffering from a stomach pain.
  • the user 101 wants to know reason for stomach pain and one or more remedies to cure the stomach pain.
  • the user 101 activates the health monitoring system 107 on his user device 103.
  • the user 101 Upon activating the health monitoring system 107, the user 101 will provide first data 104 to the health monitoring system 107.
  • the first data 104 may be symptoms suffered by the user 101 i.e. "I have stomach pain”.
  • the health monitoring system 107 receives the first data 104 related to the user 101 from the user device 103.
  • the user device 103 extracts the second data 114 from the healthcare database 115.
  • the health monitoring system 107 Upon receiving the first data 104 and the second data 114, the health monitoring system 107 accesses the healthcare database 115 and extracts one or more diseases associated with stomach pain.
  • the one or more diseases associated with the stomach pain may be "Indigestion”, “Constipation”, “Stomach virus”, “Menstrual cramps”, “food poisoning”, “food allergies”, “Gas problem”, “Lactose intolerance”, “Ulcers”, “Pelvic Inflammatory Disease (PID)", “Gall stones”, “Kidney stones”, “Endometriosis”, “Crohn's disease”, “Urinary Tract Infection (UTI)” and “Appendicitis”.
  • the health monitoring system 107 learns that the user 101 is of male gender. Therefore, the health monitoring system 107 eliminates diseases among the one or more above mentioned diseases that are related to female gender.
  • the diseases eliminated by the health monitoring system 107 among the one or more diseases based on the gender are "Menstrual cramps", “Endometriosis” and "PID”.
  • the health monitoring system 107 further learns from the user profile about prior diseases and food allergies of the user 101.
  • the health monitoring system 107 further eliminates the disease "Lactose intolerance" from the one or more diseases as the user 101 had provided information that he is Lactose intolerant in the second data 114.
  • the health monitoring system 107 also eliminates "food allergies" as the user 101 had provided information that he is not allergic to any kind of food in the second data 114. Further, the health monitoring system 107 asks a few queries to the user 101 to identify disease of the user 101 related to the stomach pain.
  • First query of the health monitoring system 107 may be "do you have vomiting sensation or did you vomit?".
  • the user 101 provides a response "No”. Therefore, the health monitoring system 107 eliminates the diseases “Stomach virus”, “Ulcers”, “Crohn's disease” and "food poisoning” from the one or more diseases.
  • Second query of the health monitoring system 107 may be "did you observe improper stool movements?".
  • the user 101 provides a response "No”. Therefore, the health monitoring system 107 eliminates the disease "Constipation” from the one or more diseases as there is no improper stool movement and vomiting observed in the user 101.
  • Third query of the health monitoring system 107 may be "do you have a burning sensation while passing urine?". The user 101 provides a response "No".
  • the health monitoring system 107 eliminates the disease "UTI" from the one or more diseases.
  • Fourth query of the health monitoring system 107 may be "do you have severe pain in the stomach?".
  • the user 101 provides a response "No”. Therefore, the health monitoring system 107 eliminates the diseases “Kidney stones” and “Gall stones” from the one or more diseases.
  • Fifth query of the health monitoring system 107 may be "do you have dull pain near upper abdomen that becomes intense towards the lower abdomen?".
  • the user 101 provides a response "No”. Therefore, the health monitoring system 107 eliminates the disease "Appendicitis” from the one or more diseases.
  • Final question of the health monitoring system 107 may be "Did you eat anything in a restaurant in the last 45 minutes?".
  • the user 101 provides a response "Yes I ate non-vegetarian food in the restaurant 30 minutes ago". Therefore, the health monitoring system 107 eliminates the disease "Indigestion” from the one or more diseases as the user 101 ate food just 30 minutes ago. Finally the health monitoring system 107 identifies the disease of the user 101 as "Gas problem" from the one or more diseases.
  • the health monitoring system 107 provides one or more remedies for the disease "Gas problem”. Further, the health monitoring system 107 also provides one or more instructions related to the one or more remedies. As an example, the one or more remedies may be to take a tonic that reduces the "Gas problem”. As an example, the one or more instructions may be "Pour 5ml of tonic in a measuring cap and consume 5ml of tonic immediately”. Upon providing the one or more remedies and the one or more instructions, the health monitoring system 107 provides information related to one or more medicines associated with the one or more remedies i.e. the tonic and information related to one or more medical outlets associated with the present location information of the user 101.
  • the one or more remedies may be to take a tonic that reduces the "Gas problem”.
  • the one or more instructions may be "Pour 5ml of tonic in a measuring cap and consume 5ml of tonic immediately”.
  • the health monitoring system 107 provides information related to the tonic along with the one or more medical outlets near his home. Further, the health monitoring system 107 will continuously monitor the user 101 to check if the user 101 is following the one or more instructions correctly in real-time until the identified disease is cured.
  • the health monitoring system 107 may use a unique method to identify how dizzy is the user 101, by providing the one or more queries in the form of conducting a small test.
  • the small test comprises providing 10 square blocks on display screen of the user device 103 and asks the user 101 to click on all the 10 square block within 15 seconds. If the user 101 selects more than 7 square blocks, it means the user 101 is not feeling dizzy. If the user 101 selects between 4-7 square blocks, it means the user 101 is feeling little dizzy. If the user 101 selects less than 4 square blocks, it means the user 101 is feeling extremely dizzy and might need medical assistance.
  • Fig.3 illustrates a flowchart showing method for providing remote healthcare solution to a user in real-time in accordance with some embodiments of the present disclosure.
  • the method 300 comprises one or more blocks illustrating method for providing remote healthcare solution to a user in real-time.
  • the method 300 may be described in the general context of computer executable instructions.
  • computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, and functions, which perform particular functions or implement particular abstract data types.
  • the order in which the method 300 is described is not intended to be construed as a limitation, and any number of the described method blocks can be combined in any order to implement the method. Additionally, individual blocks may be deleted from the methods without departing from the spirit and scope of the subject matter described herein.
  • the method can be implemented in any suitable hardware, software, firmware, or combination thereof.
  • first data 104 and second data 114 are received by the health monitoring system 107.
  • the first data 104 is related to the user 101 and the first data 104 is received from user device 103 associated with the user 101.
  • the first data 104 may include, but not limited to, data associated with one or more symptoms of the user 101.
  • the first data 104 may include, but not limited to, audio data like voice sample of the user 101, cough pattern of the user 101 etc., video data like video clip streaming a condition of the user 101 etc., image data like image of a wound of the user 101, image of eye of the user 101 indicating infection etc. and text data like a text message from the user 101 etc.
  • the second data 114 is also related to the user 101.
  • the second data 114 comprises user profile of the user 101 extracted from healthcare database 115 associated with the health monitoring system 107.
  • the second data 114 may also comprise recorded voice of the user 101.
  • the voice 101 may be recorded by the user 101 using a microphone of the user device 103.
  • response of the user 101 to one or more queries of the health monitoring system 107 is received by the health monitoring system 107.
  • the processor 109 of the health monitoring system 107 provides one or more queries to the user 101 in response to the first data 104 and the second data 114.
  • the one or more queries are stored in the memory 113.
  • the processor 109 requests for a response from the user 101 within a predefined time interval.
  • the user 101 then provides response to the one or more queries within the predefined time interval.
  • the processor 109 determines presence of a third party within a predefined distance range from the present location of the user 101.
  • the third party may be any individual present within the predefined distance range from the present location of the user 101.
  • the processor 109 alerts the third party about presence of the user 101 within the predefined distance range.
  • disease of the user 101 is identified by the health monitoring system 107.
  • the processor 109 maps at least one of the first data 104, the second data 114 and the response with predefined symptom data 213 present in a healthcare database 115 associated with the health monitoring system 107. Based on the mapping, the processor 109 eliminates the one or more diseases that may not be concerned with the user 101. After many iterations of providing one or more queries and eliminating the one or more diseases, finally, the processor 109 identifies disease of the user 101.
  • one or more remedies corresponding to the identified disease and one or more instructions related to the one or more remedies are provided by the health monitoring system 107.
  • the processor 109 provides the one or more remedies only if the condition of the user 101 having the identified disease is mild. If the condition of the user 101 having the identified disease is critical, then the processor 109 alerts one or more recipients associated with the user 101 and provides present location information of the user 101 and route map of the corresponding present location information to the one or more recipients.
  • information related to one or more medicines associated with the one or more remedies are provided by the health monitoring system 107.
  • the processor 109 provides information related to the one or more medicines to the user 101 to cure the identified disease. Further, the processor 109 provides information related to one or more medical outlets associated with present location of the user 101.
  • the user 101 is continuously monitored by the health monitoring system 107. The processor 109 continuously monitors the user 101 to check if the user 101 is following the one or more instructions correctly. If the user 101 is not following the one or more instructions correctly, the processor 109 alerts the user 101 and advises the user 101 to follow the one or more instructions correctly. Further, the processor 109 continuously monitors the user 101 until the identified disease is cured.
  • Fig.4 is a block diagram of an exemplary computer system for implementing embodiments consistent with the present disclosure.
  • the health monitoring system 400 is used for providing remote healthcare solution to a user in real-time.
  • the health monitoring system 400 may comprise a central processing unit ("CPU” or "processor") 402.
  • the processor 402 may comprise at least one data processor for executing program components for executing user- or system-generated business processes.
  • a user may include a person, a person using a device such as such as those included in this invention, or such a device itself.
  • the processor 402 may include specialized processing units such as integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, etc.
  • the processor 402 may be disposed in communication with one or more input/output (I/O) devices (411 and 412) via I/O interface 401.
  • the I/O interface 401 may employ communication protocols/methods such as, without limitation, audio, analog, digital, stereo, IEEE-1394, serial bus, Universal Serial Bus (USB), infrared, PS/2, BNC, coaxial, component, composite, Digital Visual Interface (DVI), high-definition multimedia interface (HDMI), Radio Frequency (RF) antennas, S-Video, Video Graphics Array (VGA), IEEE 802.
  • n /b/g/n/x Bluetooth, cellular (e.g., Code-Division Multiple Access (CDMA), High-Speed Packet Access (HSPA+), Global System For Mobile Communications (GSM), Long-Term Evolution (LTE), WiMax, or the like), etc.
  • CDMA Code-Division Multiple Access
  • HSPA+ High-Speed Packet Access
  • GSM Global System For Mobile Communications
  • LTE Long-Term Evolution
  • WiMax wireless wide area network
  • the health monitoring system 400 may communicate with one or more I/O devices (411 and 412).
  • the processor 402 may be disposed in communication with a communication network 409 via a network interface 403.
  • the network interface 403 may communicate with the communication network 409.
  • the network interface 403 may employ connection protocols including, without limitation, direct connect, Ethernet (e.g., twisted pair 10/100/1000 Base T), Transmission Control Protocol/Internet Protocol (TCP/IP), token ring, IEEE 802.11a/b/g/n/x, etc.
  • the health monitoring system 400 may communicate with one or more data sources 410 (a,..,n).
  • the communication network 409 can be implemented as one of the different types of networks, such as intranet or Local Area Network (LAN) and such within the organization.
  • the communication network 409 may either be a dedicated network or a shared network, which represents an association of the different types of networks that use a variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), etc., to communicate with each other.
  • the communication network 409 may include a variety of network devices, including routers, bridges, servers, computing devices, storage devices, etc.
  • the one or more data sources 410 (a,...,n) may include, without limitation, personal computer(s), mobile devices such as cellular telephones, smartphones, tablet computers, eBook readers, laptop computers, notebooks, gaming consoles, or the like.
  • the processor 402 may be disposed in communication with a memory 405 (e.g., RAM, ROM, etc. not shown in Fig.4) via a storage interface 404.
  • the storage interface 404 may connect to memory 405 including, without limitation, memory drives, removable disc drives, etc., employing connection protocols such as Serial Advanced Technology Attachment (SATA), Integrated Drive Electronics (IDE), IEEE- 1394, Universal Serial Bus (USB), fiber channel, Small Computer Systems Interface (SCSI), etc.
  • the memory drives may further include a drum, magnetic disc drive, magneto-optical drive, optical drive, Redundant Array of Independent Discs (RAID), solid-state memory devices, solid-state drives, etc.
  • the memory 405 may store a collection of program or database components, including, without limitation, user interface application 406, an operating system 407, web server 408 etc.
  • health monitoring system 400 may store user/application data 406, such as the data, variables, records, etc. as described in this invention.
  • databases may be implemented as fault-tolerant, relational, scalable, secure databases such as Oracle or Sybase.
  • the operating system 407 may facilitate resource management and operation of the health monitoring system 400.
  • Operating systems include, without limitation, Apple Macintosh OS X, UNIX, Unix-like system distributions (e.g., Berkeley Software Distribution (BSD), FreeBSD, NetBSD, OpenBSD, etc.), Linux distributions (e.g., Red Hat, Ubuntu, Kubuntu, etc.), International Business Machines (IBM) OS/2, Microsoft Windows (XP, Vista/7/8, etc.), Apple iOS, Google Android, Blackberry Operating System (OS), or the like.
  • User interface 406 may facilitate display, execution, interaction, manipulation, or operation of program components through textual or graphical facilities.
  • GUIs may provide computer interaction interface elements on a display system operatively connected to the health monitoring system 400, such as cursors, icons, check boxes, menus, scrollers, windows, widgets, etc.
  • Graphical User Interfaces may be employed, including, without limitation, Apple Macintosh operating systems' Aqua, IBM OS/2, Microsoft Windows (e.g., Aero, Metro, etc.), Unix X- Windows, web interface libraries (e.g., ActiveX, Java, Javascript, AJAX, HTML, Adobe Flash, etc.), or the like.
  • the health monitoring system 400 may implement a web browser 408 stored program component.
  • the web browser may be a hypertext viewing application, such as Microsoft Internet Explorer, Google Chrome, Mozilla Firefox, Apple Safari, etc. Secure web browsing may be provided using Secure Hypertext Transport Protocol (HTTPS) secure sockets layer (SSL), Transport Layer Security (TLS), etc. Web browsers may utilize facilities such as AJAX, DHTML, Adobe Flash, JavaScript, Java, Application Programming Interfaces (APIs), etc.
  • the health monitoring system 400 may implement a mail server stored program component.
  • the mail server may be an Internet mail server such as Microsoft Exchange, or the like.
  • the mail server may utilize facilities such as Active Server Pages (ASP), ActiveX, American National Standards Institute (ANSI) C++/C#, Microsoft .NET, CGI scripts, Java, JavaScript, PERL, PHP, Python, WebObjects, etc.
  • the mail server may utilize communication protocols such as Internet Message Access Protocol (IMAP), Messaging Application Programming Interface (MAPI), Microsoft Exchange, Post Office Protocol (POP), Simple Mail Transfer Protocol (SMTP), or the like.
  • IMAP Internet Message Access Protocol
  • MAPI Messaging Application Programming Interface
  • PMP Post Office Protocol
  • SMTP Simple Mail Transfer Protocol
  • the health monitoring system 400 may implement a mail client stored program component.
  • the mail client may be a mail viewing application, such as Apple Mail, Microsoft Entourage, Microsoft Outlook, Mozilla Thunderbird, etc.
  • a computer-readable storage medium refers to any type of physical memory on which information or data readable by a processor may be stored.
  • a computer-readable storage medium may store instructions for execution by one or more processors, including instructions for causing the processor(s) to perform steps or stages consistent with the embodiments described herein.
  • the term "computer-readable medium” should be understood to include tangible items and exclude carrier waves and transient signals, i.e., non- transitory. Examples include Random Access Memory (RAM), Read-Only Memory (ROM), volatile memory, non-volatile memory, hard drives, Compact Disc (CD) ROMs, Digital Video Disc (DVDs), flash drives, disks, and any other known physical storage media.
  • the present disclosure provides a method and a system for providing remote healthcare solution to a user in real-time.
  • the present disclosure provides a feature wherein the health monitoring system correctly identifies disease of the user based on one or more symptoms provided by the user, based on profile data of the user and response of the user to one or more queries of the health monitoring system.
  • the present disclosure provides a feature wherein the health monitoring system uses the existing hardware of user device of the user to identify the disease of the user and also to monitor the user. Therefore, the health monitoring system is economical and saves the money that may be spent in buying sensors, visiting hospital for easily curable diseases etc.
  • the present disclosure provides a feature wherein the health monitoring system alerts one or more recipients related to the user and provides present location information of the user along with a route map.
  • the health monitoring system saves a lot of time and usage of resources that ultimately increases odds of saving the user's life.
  • the present disclosure provides a feature wherein information related to one or more medical outlets associated with present location information of the user is provided.
  • the present disclosure provides a feature wherein the health monitoring system monitors the user continuously to check if the user is following one or more instructions of the health monitoring system correctly. If not, the health monitoring system advises the user to follow the one or more instructions properly so that the user can recover quickly.
  • the present disclosure provides a feature wherein the health monitoring system may be accessed even when the user is out of network range by using one or more predefined datasets provided by the health monitoring system.
  • the present disclosure provides a feature wherein a healthcare professional associated with the health monitoring system dynamically identifies the disease of the user and provides the one or more remedies when mapping by the health monitoring system to identify the disease is not successful.
  • the present disclosure provides a feature wherein the healthcare database comprises unique ways of identifying disease of the user correctly.
  • the present disclosure provides a feature wherein the health monitoring system alerts a third party present within predefined distance range from the user, when the user does not respond to one or more queries of the health monitoring system.
  • the third party may help the user by following one or more instructions of the health monitoring system and save the user's life.

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Abstract

La présente invention se rapporte à la veille sanitaire et concerne un procédé et un système destinés à apporter une solution de soins de santé à distance à un utilisateur en temps réel. Le système de veille sanitaire identifie la maladie de l'utilisateur d'après des symptômes fournis par l'utilisateur, un profil de l'utilisateur et une réponse obtenue de la part de l'utilisateur à des interrogations du système de veille sanitaire. En outre, le système de veille sanitaire surveille l'utilisateur jusqu'à la guérison de la maladie identifiée, assurant ainsi un suivi de l'utilisateur pour un rétablissement rapide et complet. En outre, en cas d'urgence, le ou les destinataires sont alertés en joignant un plan d'itinéraire jusqu'à la position actuelle de l'utilisateur, ou une tierce partie est alertée pour venir en aide à l'utilisateur. En alertant immédiatement le ou les destinataires, le système de veille sanitaire garantit que les chances de maintenir l'utilisateur en vie sont élevées. Le système de veille sanitaire peut être utilisé même lorsque l'utilisateur se trouve hors de portée du réseau.
PCT/IB2016/053122 2015-05-29 2016-05-27 Procédé et système pour apporter une solution de soins de santé à distance à un utilisateur en temps réel Ceased WO2016193879A1 (fr)

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Cited By (1)

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CN113299360A (zh) * 2021-04-26 2021-08-24 王传菊 一种基于云计算技术的智慧医疗系统

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US6234964B1 (en) * 1997-03-13 2001-05-22 First Opinion Corporation Disease management system and method
US20110173022A1 (en) * 2000-05-19 2011-07-14 Mayer Gregg L Systems and Methods for Electronic Health Management

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Publication number Priority date Publication date Assignee Title
US6234964B1 (en) * 1997-03-13 2001-05-22 First Opinion Corporation Disease management system and method
US20110173022A1 (en) * 2000-05-19 2011-07-14 Mayer Gregg L Systems and Methods for Electronic Health Management

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113299360A (zh) * 2021-04-26 2021-08-24 王传菊 一种基于云计算技术的智慧医疗系统

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