Claims:1. A system (10) for performing a health issue examination comprising:
a screening unit (20) installed inside of a mobile entity (40), wherein the screening unit (20) is adapted to:
perform one or more screening tests on a user, upon receiving a screening request from the user upon registration, by enabling the screening unit (20) to reach a location of the user via the mobile entity (40), wherein the one or more screening tests are performed via one or more screening devices (30); and
collect one or more test results into a database of the system (10) upon performing the one or more screening tests, wherein the one or more test results correspond to an indication of a health status of the user; and
a processing subsystem (50) operatively coupled to the screening unit (20), wherein the processing subsystem (50) is configured to execute on a network to control bidirectional communications among a plurality of submodules comprising:
an input module (60) configured to:
receive the one or more test results collected by the screening unit (20) in real-time; and
receive a plurality of medical details corresponding to the user, upon receiving the corresponding one or more test results;
an input anonymization module (70) operatively coupled to the input module (60), wherein the input anonymization module (70) is configured to anonymize the corresponding one or more test results and the plurality of medical details using a predefined anonymization technique, upon receiving an anonymization request from the user;
an input processing module (80) operatively coupled to the input anonymization module (70), wherein the input processing module (80) is configured to:
extract a plurality of elements from the corresponding one or more test results using a predefined extraction technique based on a form corresponding to the one or more test results; and
process the corresponding plurality of elements by comparing the corresponding plurality of elements with a corresponding plurality of health-issue-related datasets using a pre-trained model,
wherein the pre-trained model is trained with a plurality of health-issue-related datasets using an artificial intelligence-based technique; and
a heath-issue identification module (90) operatively coupled to the input processing module (80) wherein the heath-issue identification module (90) is configured to identify one or more health issues corresponding to the user based on at least one of the plurality of medical details and the processing of the corresponding plurality of elements, thereby performing the health issue examination.
2. The system (10) as claimed in claim 1, wherein the one or more screening tests comprises at least one of X-ray test, a blood test, a blood pressure test, a blood sugar test, a retina test, a Hemoglobin count test, and an electrocardiogram test.
3. The system (10) as claimed in claim 1, wherein the plurality for medical details comprises at least one of one or more symptoms, one or more prescription history-related details, and one or more medical test history-related details.
4. The system (10) as claimed in claim 1, wherein the processing subsystem (50) comprises a report generation module (200) operatively coupled to the heath-issue identification module (90), wherein the report generation module (200) is configured to generate one or more customized reports upon obtaining a positive heath-issue identification result from the heath-issue identification module (90),
wherein the one or more customized reports comprises information about at least one of the plurality of medical details and the corresponding one or more health issues.
5. The system (10) as claimed in claim 4, wherein the processing subsystem (50) comprises a tracking module (230) operatively coupled to the report generation module (200), wherein the tracking module (230) is configured to identify one or more healthcare entities located within a predefined radius from the location of the user using a predefined location tracking technique, upon generating the one or more customized reports.
6. The system (10) as claimed in claim 5, wherein the processing subsystem (50) comprises a communication module (240) operatively coupled to the tracking module (230), wherein the communication module (240) is configured to communicate the corresponding one or more customized reports with at least one of the one or more healthcare entities identified to be within the predefined radius using a predefined communication medium.
7. The system (10) as claimed in claim 6, wherein the processing subsystem (50) comprises a recommendation module (260) operatively coupled to the communication module (240), wherein the recommendation module (260) is configured to generate one or more treatment recommendations for the user, upon an estimation of one or more treatments to be taken by the user to cure the corresponding one or more health issues, upon communicating the one or more customized reports.
8. A method (310) for performing a health issue examination comprising:
performing, via a screening unit (20), one or more screening tests on a user, upon receiving a screening request from the user upon registration, by enabling the screening unit to reach a location of the user via the mobile entity, wherein the one or more screening tests are performed via one or more screening devices; (320)
collecting, via the screening unit (20), one or more test results into a database of the system upon performing the one or more screening tests, wherein the one or more test results corresponds to an indication of a health status of the user; (330)
receiving, via an input module (60) of a processing subsystem (50), the one or more test results collected by the screening unit in real-time; (340)
receiving, via the input module (60) of the processing subsystem (50), a plurality of medical details corresponding to the user, upon receiving the corresponding one or more test results; (350)
anonymizing, via an input anonymization module (70) of the processing subsystem (50), the corresponding one or more test results and the plurality of medical details using a predefined anonymization technique, upon receiving an anonymization request from the user; (360)
extracting, via an input processing module (80) of the processing subsystem (50), a plurality of elements from the corresponding one or more test results using a predefined extraction technique based on a form corresponding to the one or more test results; (370)
processing, via the input processing module (80) of the processing subsystem (50), the corresponding plurality of elements by comparing the corresponding plurality of elements with a corresponding plurality of health-issue-related datasets using a pre-trained model, wherein the pre-trained model is trained with a plurality of health-issue-related datasets using an artificial intelligence-based technique; and (380)
identifying, via a heath-issue identification module (90) of the processing subsystem (50), one or more health issues corresponding to the user based on at least one of the plurality of medical details and the processing of the corresponding plurality of elements, thereby performing the health issue examination (390).
9. The method (310) as claimed in claim 8, comprising, generating, via a report generation module (200) of the processing subsystem (50), one or more customized reports upon obtaining a positive heath-issue identification result from the heath-issue identification module (90).
10. The method (310) as claimed in claim 9, wherein generating the one or more customized reports comprises generating the one or more customized reports comprising information about at least one of the plurality of medical details and the corresponding one or more health issues.

Dated this 14th day of April 2022

Signature

Jinsu Abraham
Patent Agent (IN/PA-3267)
Agent for the Applicant , Description:FIELD OF INVENTION
[0001] Embodiments of a present disclosure relate to a field of healthcare, and more particularly to a system and a method for performing a health issue examination.
BACKGROUND
[0002] Health issue examination refers to a physical examination, a clinical examination, or a medical examination, that is, performing multiple tests to identify any early signs of health issues. Conventionally, in order to perform any such examinations, patients have to visit nearby clinics or hospitals, which under certain circumstances may not be possible for the patient. Such circumstances could be the patient being in a critical condition, lack of a facility to travel, or the like.
[0003] Especially in rural areas, people willingly or unwillingly people may refuse to visit the clinics. Thus, failing to have a regular check-up done may be due to a carefree attitude, poverty, and not willing to lose a day’s wage which they would have lost if they make a visit to the clinics. Another problem in the rural areas is lack of awareness and reachability, and hence because of this, the people are not getting diagnosed at the early stages of severe unknown diseases such as diabetes, blood pressure, cardiac disease, and the like.
[0004] Hence, there is a need for an improved system and method for performing a health issue examination which addresses the aforementioned issues.
BRIEF DESCRIPTION
[0005] In accordance with one embodiment of the disclosure, a system for performing a health issue examination is provided. The system includes a screening unit. The screening unit is installed inside of a mobile entity. The screening unit is adapted to perform one or more screening tests on a user, upon receiving a screening request from the user upon registration, by enabling the screening unit to reach a location of the user via the mobile entity. The one or more screening tests are performed via one or more screening devices. The screening unit is also adapted to collect one or more test results into a database of the system upon performing the one or more screening tests. The one or more test results correspond to an indication of a health status of the user. The system also includes a processing subsystem. The processing subsystem is configured to execute on a network to control bidirectional communications among a plurality of modules. The processing subsystem includes an input module. The input module is configured to receive the one or more test results collected by the screening unit in real-time. The input module is also configured to receive a plurality of medical details corresponding to the user, upon receiving the corresponding one or more test results. The processing subsystem also includes an input anonymization module. The input anonymization module is operatively coupled to the input module. The input anonymization module is configured to anonymize the corresponding one or more test results and the plurality of medical details using a predefined anonymization technique, upon receiving an anonymization request from the user. Further, the processing subsystem also includes an input processing module. The input processing module is operatively coupled to the input anonymization module. The input processing module is configured to extract a plurality of elements from the corresponding one or more test results using a predefined extraction technique based on a form corresponding to the one or more test results. The input processing module is also configured to process the corresponding plurality of elements by comparing the corresponding plurality of elements with a corresponding plurality of health-issue-related datasets using a pre-trained model. The pre-trained model is trained with a plurality of health-issue-related datasets using an artificial intelligence-based technique. Furthermore, the processing subsystem also includes a heath-issue identification module. The heath-issue identification module is operatively coupled to the input processing module. The heath-issue identification module is configured to identify one or more health issues corresponding to the user based on at least one of the plurality of medical details and the processing of the corresponding plurality of elements, thereby performing the health issue examination.
[0006] In accordance with another embodiment, a method for performing a health issue examination is provided. The method includes performing one or more screening tests on a user, upon receiving a screening request from the user upon registration, by enabling the screening unit to reach a location of the user via the mobile entity, wherein the one or more screening tests are performed via one or more screening devices. The method also includes collecting one or more test results into a database of the system upon performing the one or more screening tests, wherein the one or more test results corresponds to an indication of a health status of the user. Further, the method also includes receiving the one or more test results collected by the screening unit in real-time. Furthermore, the method also includes receiving a plurality of medical details corresponding to the user, upon receiving the corresponding one or more test results. Furthermore, the method also includes anonymizing the corresponding one or more test results and the plurality of medical details using a predefined anonymization technique, upon receiving an anonymization request from the user. Furthermore, the method also includes extracting a plurality of elements from the corresponding one or more test results using a predefined extraction technique based on a form corresponding to the one or more test results. Furthermore, the method also includes processing the corresponding plurality of elements by comparing the corresponding plurality of elements with a corresponding plurality of health-issue-related datasets using a pre-trained model, wherein the pre-trained model is trained with a plurality of health-issue-related datasets using an artificial intelligence-based technique. Furthermore, the method also includes identifying one or more health issues corresponding to the user based on at least one of the plurality of medical details and the processing of the corresponding plurality of elements, thereby performing the health issue examination.
[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 representation of a system for performing a health issue examination in accordance with an embodiment of the present disclosure;
[0009] FIG. 2 is a block diagram representation of an exemplary embodiment of the system for performing the health issue examination of FIG. 1 in accordance with an embodiment of the present disclosure;
[0010] FIG. 3 is a block diagram of an examination computer or an examination server in accordance with an embodiment of the present disclosure;
[0011] FIG. 4 (a) is a flow chart representing steps involved in a method for performing a health issue examination in accordance with an embodiment of the present disclosure; and
[0012] FIG. 4 (b) is a flow chart representing continued steps involved in the method of FIG. 4 (a) in accordance with an embodiment of the present disclosure.
[0013] 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
[0014] 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.
[0015] 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.
[0016] 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.
[0017] 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.
[0018] Embodiments of the present disclosure relate to a system for performing a health issue examination. As used herein, the term “health issue examination” refers to a physical examination, a clinical examination, or a medical examination, that is, performing multiple tests to identify any early signs of health issues. Further, the system described hereafter in FIG. 1 is the system for performing the health issue examination.
[0019] FIG. 1 is a block diagram representation of a system (10) for performing a health issue examination in accordance with an embodiment of the present disclosure. The system (10) includes a screening unit (20). As used herein, the term “screening unit” refers to a unit having one or more screening devices installed or positioned along with one or more power supply units. In one embodiment, the one or more screening devices (30) may include at least one of an X-ray machine, retina testing equipment, an electrocardiogram (ECG) machine, and the like. In one exemplary embodiment, the X-ray machine may be a digital X-ray (DR) machine, a computed radiography (CR) machine, and the like. Also, in an embodiment, the one or more power supply units may be needed to supply power to the one or more screening devices (30) for a proper functioning of the corresponding one or more screening devices (30). In one exemplary embodiment, the one or more power supply units may include a battery, a main power supply board, or the like.
[0020] The screening unit (20) is installed inside of a mobile entity (40). In one embodiment, the mobile entity (40) may include a two-wheeled vehicle, a three-wheeled vehicle, a four-wheeled vehicle, or the like. In one exemplary embodiment, the mobile entity (40) may include a scooter, an autorickshaw, a car, a truck, or the like. In another exemplary embodiment, the mobile entity (40) may include an electric vehicle, a fossil fuel vehicle, a hybrid vehicle, a fuel cell vehicle, or the like. The screening unit (20) is adapted to perform one or more screening tests on a user, upon receiving a screening request from the user upon registration, by enabling the screening unit (20) to reach a location of the user via the mobile entity (40). The one or more screening tests are performed via the one or more screening devices (30). In one embodiment, the one or more screening tests may be invasive, non-invasive, or a combination thereof. The screening unit (20) is also adapted to collect one or more test results into a database (as shown in FIG. 2) of the system (10) upon performing the one or more screening tests. The one or more test results correspond to an indication of a health status of the user. In a specific embodiment, the one or more screening tests may be performed on a human or an animal.
[0021] Basically, upon installing the screening unit (20) onto the mobile entity (40), then the screening unit (20) can be carried to the location of the user for performing the one or more screening tests. In one embodiment, the location may include a house, an office, a school, a company, a mall, a factory, or the like. Further, for the user to receive such a facility, the user may have to be registered with the system (10). Therefore, the system (10) also includes the processing subsystem (50), wherein the processing subsystem (50) may include a registration module (as shown in FIG. 2).
[0022] The processing subsystem (50) may be hosted on a server. In one embodiment, the server may include a cloud server. In another embodiment, the server may include a local server. The processing subsystem (50) 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 a local area network (LAN). In another embodiment, the network may include a wireless network such as wireless fidelity (Wi-Fi), Bluetooth, Zigbee, near field communication (NFC), infrared communication, or the like.
[0023] Further, the registration module may be configured to register the user with the system (10) upon receiving the plurality of user details via a user device. In one embodiment, the plurality of user details may be stored in the database. In one exemplary embodiment, the database may include a local database or a cloud database. In one exemplary embodiment, the plurality of user details may include a username, contact details age, gender, location, or the like corresponding to the user. In an embodiment, the user device may include a mobile phone, a tablet, a laptop, or the like belonging to the corresponding user.
[0024] Upon registration, the user may then generate the screening request, wherein the screening request may be transmitted to the screening unit (20) via a predefined communication medium. In one embodiment, the predefined communication medium may include a wired communication medium such as the LAN, or a wireless communication medium such as air. Upon receiving the screening request, the screening unit (20) may then travel to the location of the user via the mobile entity (40). The mobile entity (40) may be driven by a first authorized person. Moreover, in an embodiment, a second authorized person may be authorized to perform the one or more screening tests on the user using the one or more screening devices (30). The first authorized person may be a driver authorized to drive healthcare vehicles such as an ambulance. The second authorized person may be a physician, a nurse, a specialist, a radiographer, or the like.
[0025] Upon collecting the one or more test results, the corresponding one or more test results may have to be analyzed or processed further to obtain certain insights, so that a decision of a future action may be taken by the user. Therefore, the processing subsystem (50) includes an input module (60). The input module (60) may be operatively coupled to the registration module. The input module (60) is configured to receive the one or more test results collected by the screening unit (20) in real-time. In one exemplary embodiment, the one or more screening tests may include at least one of X-ray test, a blood test, a blood pressure test, a blood sugar test, a retina test, a Haemoglobin count test, an ECG test, a sputum test, a glucose test, an invasive blood test, and the like. The input module (60) is also configured to receive a plurality of medical details corresponding to the user, upon receiving the corresponding one or more test results. In one exemplary embodiment, the plurality for medical details may include at least one of one or more symptoms, one or more prescription history-related details, one or more medical test history-related details, and the like.
[0026] Furthermore, protecting a privacy of the user is also important. Therefore, the user may request for anonymization. Thus, the processing subsystem (50) also includes an input anonymization module (70). The input anonymization module (70) is operatively coupled to the input module (60). The input anonymization module (70) is configured to anonymize the corresponding one or more test results and the plurality of medical details using a predefined anonymization technique, upon receiving an anonymization request from the user. As used herein, the term “predefined anonymization technique” refers to a technique used to perform data anonymization. As used herein, the term “data anonymization” refers to a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. In one embodiment, the predefined anonymization technique may include data masking, pseudonymization, generalization, data swapping, or the like.
[0027] Upon anonymizing data belonging to the user, the corresponding data may have to be processed to assist in predicting one or more health issues associated with the user. Therefore, the processing subsystem (50) also includes an input processing module (80). The input processing module (80) is operatively coupled to the input anonymization module (70). The input processing module (80) is configured to extract a plurality of elements from the corresponding one or more test results using a predefined extraction technique based on a form corresponding to the one or more test results. The input processing module (80) is also configured to process the corresponding plurality of elements by comparing the corresponding plurality of elements with a corresponding plurality of health-issue-related datasets using a pre-trained model. The pre-trained model is trained with a plurality of health-issue-related datasets using an artificial intelligence (AI)-based technique.
[0028] In one exemplary embodiment, when a screening test may be the X-ray test, then the plurality of elements may include tumors, cancer lumps, a blood vessel blockage, a dislocated joint, and the like. Further, in an embodiment, the plurality of health-issue-related datasets may include details corresponding to a plurality of diseases, a plurality of remedies, and the like. In one embodiment, the plurality of diseases may include a plurality of pulmonary-related diseases such as asthma, pulmonary fibrosis, coronavirus disease, and the like. Also, in an embodiment, the form corresponding to the one or more test results may include a text form, an image form, or the like. Moreover, in an embodiment, the predefined extraction technique may include a natural language processing (NLP) technique, an image processing technique, or the like.
[0029] As used herein, the term “natural language processing” is defined as a branch of artificial intelligence (AI) that helps computers understand, interpret and manipulate human language. Here, predefined historic data may be used to train a model that may be used for an operation of the NLP, wherein the predefined historic data may include a word dictionary of a plurality of words with meaning. Further, as used herein, the term “image processing technique” is defined as a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. Furthermore, as used herein, the term “artificial intelligence” is defined as the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment. The pre-trained model may then search for a similarity between the plurality of elements extracted and the plurality of health-issue-related datasets. Upon identifying any similarity, a corresponding health issue, the user may be suffering from maybe then identified.
[0030] In addition, the processing subsystem (50) also includes a heath-issue identification module (90). The heath-issue identification module (90) is operatively coupled to the input processing module (80). The heath-issue identification module (90) is configured to identify one or more health issues corresponding to the user based on at least one of the plurality of medical details and the processing of the corresponding plurality of elements, thereby performing the health issue examination.
[0031] Subsequently, in an embodiment, the processing subsystem (50) may include a report generation module (as shown in FIG. 2). The report generation module may be operatively coupled to the heath-issue identification module (90). The report generation module may be configured to generate one or more customized reports upon obtaining a positive heath-issue identification result from the heath-issue identification module (90). The one or more customized reports may include information about at least one of the plurality of medical details and the corresponding one or more health issues. The positive heath-issue identification result may correspond to an indication that a health issue is been detected in the user. Further, in an embodiment, the heath-issue identification module (90) may also generate a negative heath-issue identification result. The negative heath-issue identification result may correspond to an indication that a health issue is not been detected in the user.
[0032] Subsequently, in an embodiment, the processing subsystem (50) may include a tracking module (as shown in FIG. 2) operatively coupled to the report generation module. The tracking module may be configured to identify one or more healthcare entities located within a predefined radius from the location of the user using a predefined location tracking technique, upon generating the one or more customized reports. In one embodiment, one or more healthcare entities may correspond to a clinic, a hospital, a nursing home, or the like. Further, in an embodiment, the predefined location tracking technique may be a technique that make use of the Global Positioning System (GPS). Basically, upon registration, the location of the user may be identified and then nearby healthcare entities may be tracked.
[0033] Upon detecting a healthcare entity located within the predefined radius from the location of the user, the one or more customized reports corresponding to the user may have to be shared with the corresponding healthcare entity, for further processing. Therefore, in an embodiment, the processing subsystem (50) may also include a communication module (as shown in FIG. 2). The communication module may be operatively coupled to the tracking module. The communication module may be configured to communicate the corresponding one or more customized reports with at least one of the one or more healthcare entities identified to be within the predefined radius using the predefined communication medium.
[0034] Upon receiving the one or more customized reports at the corresponding one or more healthcare entities, a treatment, a cure, or a remedy may have to be suggested, to assist the user to overcome the corresponding one or more health issues. Therefore, in an embodiment, the processing subsystem (50) may also include a recommendation module (as shown in FIG. 2). The recommendation module may be operatively coupled to the communication module. The recommendation module may be configured to generate one or more treatment recommendations for the user, upon an estimation of one or more treatments to be taken by the user to cure the corresponding one or more health issues, upon communicating the one or more customized reports.
[0035] Upon receiving the one or more treatment recommendations, in an embodiment, the user may decide to visit the corresponding one or more healthcare entities to initiate a preferred treatment of the corresponding one or more health issues identified. In another embodiment, the user may decide to follow a prescription received from a physician at the corresponding one or more healthcare entities by staying at home.
[0036] FIG. 2 is a block diagram representation of an exemplary embodiment of the system (10) for performing a health issue examination of FIG. 1 in accordance with an embodiment of the present disclosure. Consider a rural area (100) where people (110) are working on daily wages, and when it comes to health check-ups, such people (110) rely on government healthcare systems (120). However, intentionally or unintentionally failing to have a regular check-up done may be due to a carefree attitude, poverty, and not willing to lose a day’s wage which they would have lost if they make a visit to a local clinic. Therefore, the government healthcare systems (120) are willing to take an initiative to address this problem. Suppose the corresponding government healthcare systems (120) purchase the system (10) proposed in the present disclosure. The corresponding government healthcare systems (120) get the people (110) of the corresponding rural area (100) registered with the system (10) via the registration module (130) by providing a plurality of personal details of the corresponding people (110) via a government laptop (140). The corresponding plurality of personal details is stored in the database (150) of the system (10). The system (10) includes the screening unit (20) installed inside of an autorickshaw (160). The screening unit (20) includes one or more X-ray machines (170), as the government healthcare systems (120) are planning to initial check for pulmonary issues among the people (110) of the rural area (100) by taking X-rays of lungs of the people (110). Therefore, the autorickshaw (160) travels to every house (180) in the corresponding rural area (100) and a specialist (185) collects one or more X-ray results of the people (110) via the screening unit (20).
[0037] The system (10) also includes the processing subsystem (50) hosted on a cloud server (190). The one or more X-ray results collected via the screening unit (20) are initially stored in the database (150), and then shared with the processing subsystem (50), as the processing subsystem (50) is operatively coupled to the screening unit (20). Therefore, the processing subsystem (50) receives the one or more X-ray results via the input module (60). Further, one or more inputs from the corresponding people (110) are also collected via the input module (60), the one or more inputs include existing symptoms experienced by the people (110), existing medications, information about bad habits, and the like.
[0038] Further, to maintain a privacy of the people (110), data received by the input module (60) is anonymized via the input anonymization module (70). Upon anonymization, the one or more X-ray results are processed via the input processing module (80). Upon processing, if the people (110) are suffering from any pulmonary disease, then it is identified via the heath-issue identification module (90). Furthermore, a customized report having information about the one or more X-ray results of the people (110) is generated via the report generation module (200), when a pulmonary disease is actually identified in a first set of people (210). Moreover, the rural area (100) has a second set of people (220) that are not suffering from any pulmonary disease. Then, the government healthcare systems (120) that are within the rural area (100) are tracked via the tracking module (230), and the customized report of the first set of people (210) is communicated to the government healthcare systems (120) via the communication module (240). Then, one or more physicians (250) at the corresponding government healthcare systems (120) analyze the customized report and estimate a preferred treatment for the corresponding first set of people (210), so that the corresponding first set of people (210) can cure themselves. Upon estimation, the one or more treatment recommendations are generated and shared with the corresponding first set of people (210) via the recommendation module (260). Thus, this is how the government healthcare systems (120) in the rural area (100) made use of the system (10) for performing health issue examination of the people (110) leaving in the rural area (100).
[0039] FIG. 3 is a block diagram of an examination computer or an examination server (270) in accordance with an embodiment of the present disclosure. The examination server (270) includes processor(s) (280), and a memory (290) operatively coupled to a bus (300). The processor(s) (280), 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.
[0040] Computer memory elements may include any suitable memory device(s) for storing data and executable program, such as read only memory, random access memory, erasable programmable read only memory, electrically erasable programmable read only memory, hard drive, removable media drive for handling memory cards and the like. Embodiments of the present subject matter may be implemented in conjunction with program modules, including functions, procedures, data structures, and application programs, for performing tasks, or defining abstract data types or low-level hardware contexts. Executable program stored on any of the above-mentioned storage media may be executable by the processor(s) (280).
[0041] The memory (260) includes a plurality of subsystems stored in the form of executable program which instructs the processor(s) (280) to perform method steps illustrated in FIG. 4. The memory (290) includes a processing subsystem (50) of FIG 1. The processing subsystem (50) further has following modules: an input module (60), an input anonymization module (70), an input processing module (80), and a heath-issue identification module (90).
[0042] The input module (60) is configured to receive the one or more test results collected by the screening unit (20) in real-time. The input module (60) is also configured to receive a plurality of medical details corresponding to the user, upon receiving the corresponding one or more test results.
[0043] The input anonymization module (70) is configured to anonymize the corresponding one or more test results and the plurality of medical details using a predefined anonymization technique, upon receiving an anonymization request from the user.
[0044] The input processing module (80) is configured to extract a plurality of elements from the corresponding one or more test results using a predefined extraction technique based on a form corresponding to the one or more test results. The input processing module (80) is also configured to process the corresponding plurality of elements by comparing the corresponding plurality of elements with a corresponding plurality of health-issue-related datasets using a pre-trained model. The pre-trained model is trained with a plurality of health-issue-related datasets using an artificial intelligence-based technique.
[0045] The heath-issue identification module (90) is configured to identify one or more health issues corresponding to the user based on at least one of the plurality of medical details and the processing of the corresponding plurality of elements, thereby performing the health issue examination.
[0046] The bus (300) 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 (300) includes a serial bus or a parallel bus, wherein the serial bus transmits data in a bit-serial format and the parallel bus transmits data across multiple wires. The bus (300) 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.
[0047] FIG. 4 (a) is a flow chart representing steps involved in a method (310) for performing a health issue examination in accordance with an embodiment of the present disclosure. FIG. 4 (b) is a flow chart representing continued steps involved in the method (310) of FIG. 4 (a) in accordance with an embodiment of the present disclosure. The method (310) includes performing one or more screening tests on a user, upon receiving a screening request from the user upon registration, by enabling the screening unit to reach a location of the user via the mobile entity, wherein the one or more screening tests are performed via one or more screening devices in step 320. In one embodiment, performing the one or more screening tests on the user may include performing the one or more screening tests on the user via a screening unit (20).
[0048] The method (310) also includes collecting one or more test results into a database of the system upon performing the one or more screening tests, wherein the one or more test results corresponds to an indication of a health status of the user in step 330. In one embodiment, collecting the one or more test results may include collecting the one or more test results via the screening unit (20).
[0049] Furthermore, the method (310) includes receiving the one or more test results collected by the screening unit in real-time in step 340. In one embodiment, receiving the one or more test results may include receiving the one or more test results via an input module (60) of a processing subsystem (50).
[0050] Furthermore, the method (310) also includes receiving a plurality of medical details corresponding to the user, upon receiving the corresponding one or more test results in step 350. In one embodiment, receiving the plurality of medical details may include receiving the plurality of medical details via the input module (60) of the processing subsystem (50).
[0051] Furthermore, the method (310) also includes anonymizing the corresponding one or more test results and the plurality of medical details using a predefined anonymization technique, upon receiving an anonymization request from the user in step 360. In one embodiment, anonymizing the corresponding one or more test results and the plurality of medical details may include anonymizing the corresponding one or more test results and the plurality of medical details via an input anonymization module (70) of the processing subsystem (50).
[0052] Furthermore, the method (310) also includes extracting a plurality of elements from the corresponding one or more test results using a predefined extraction technique based on a form corresponding to the one or more test results in step 370. In one embodiment, extracting the plurality of elements may include extracting the plurality of elements via an input processing module (80) of the processing subsystem (50).
[0053] Furthermore, the method (310) also includes processing the corresponding plurality of elements by comparing the corresponding plurality of elements with a corresponding plurality of health-issue-related datasets using a pre-trained model, wherein the pre-trained model is trained with a plurality of health-issue-related datasets using an artificial intelligence-based technique in step 380. In one embodiment, processing the corresponding plurality of elements may include processing the corresponding plurality of elements via the input processing module (80) of the processing subsystem (50).
[0054] Furthermore, the method (310) also includes identifying one or more health issues corresponding to the user based on at least one of the plurality of medical details and the processing of the corresponding plurality of elements, thereby performing the health issue examination in step 390. In one embodiment, identifying the one or more health issues corresponding to the user may include identifying the one or more health issues corresponding to the user via a heath-issue identification module (90) of the processing subsystem (50).
[0055] In one exemplary embodiment, the method (310) may further include generating one or more customized reports upon obtaining a positive heath-issue identification result from the heath-issue identification module (90). In such an embodiment, generating the one or more customized reports may include generating the one or more customized reports via a report generation module (200) of the processing subsystem (50).
[0056] In one exemplary embodiment, generating the one or more customized reports may include generating the one or more customized reports including information about at least one of the plurality of medical details and the corresponding one or more health issues.
[0057] Further, from a technical effect point of view, the implementation time required to perform the method steps included in the present disclosure by the one or more processors of the system is very minimal, thereby the system maintains very minimal operational latency and requires very minimal processing requirements.
[0058] Various embodiments of the present disclosure enable performing the health issue examination of people at respective homes of the people without any need for the people to travel to a hospital nearby. Thus, making the system more efficient, more flexible, more convenient, and more reliable to use, as the system makes use of the mobile entity to take a physician and the screening unit to the location of the people. During the process, data collected from the people is anonymized, thereby taking care of a privacy of the people.
[0059] Further, the system can be used in rural areas to provide a door-to-door service for people leaving in the rural areas to overcome one or more issues such as difficulty to find a specialist in the rural areas, lack of awareness among the people about seriousness of a health issue, lack of reachability, and the like. Furthermore, the system can be used at airports for performing coronavirus tests, Tuberculosis tests, and any other pulmonary tests of passengers at the airport
[0060] 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.
[0061] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.