DESC:RESERVATION OF RIGHTS
A portion of the disclosure of this patent document contains material which is subject to intellectual property rights such as, but are not limited to, copyright, design, trademark, integrated circuit (IC) layout design, and/or trade dress protection, belonging to Jio Platforms Limited (JPL) or its affiliates (herein after referred as owner). The owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the Patent and Trademark Office patent files or records, but otherwise reserves all rights whatsoever. All rights to such intellectual property are fully reserved by the owner.

FIELD OF INVENTION
[0001] The embodiments of the present disclosure generally relate to healthcare system. More particularly, the present disclosure relates to a healthcare system facilitating comprehensive end-to-end healthcare solution stack and method thereof.

BACKGROUND OF THE INVENTION
[0002] The following description of the related art is intended to provide background information pertaining to the field of disclosure. This section may include certain aspects of the art that may be related to various features of the present disclosure. However, it should be appreciated that this section be used only to enhance the understanding of the reader with respect to the present disclosure, and not as admissions of prior art.
[0003] As the population ages, health and fitness become important. Healthcare, as it exists today, has its own set of limitations and deficiencies. Especially, in India, healthcare is adversely affected by a shortage of qualified healthcare professionals and a lack of infrastructure. Furthermore, the demography and the rural-urban divide create high contrast and an unfavourable skew in terms of the expected healthcare parameters and the existing situation.
[0004] Amidst all the issues, “low or almost no avenues to a timely diagnosis” stands out as core problem in the present healthcare crisis. These are further aggravated by lack of coherent ecosystems that manage public health records, and less affordable health treatments for a large section of the populace. It is therefore imperative to identify the areas of improvement and seek solutions to improve these insufficiencies.
[0005] However, the existing systems fail to provide a unified platform for managing healthcare system, which creates a need to address the issue relating to a fragmentation of data and lack of cohesion in managing public health records. The above said aspects are crucial and can have significant implications for healthcare systems and population health management.
[0006] There is, therefore, a need in the art to provide a method and a system that can overcome the shortcomings of the existing prior arts.

OBJECTS OF THE PRESENT DISCLOSURE
[0007] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0008] An object of the present disclosure is to provide a healthcare system facilitating comprehensive end-to-end healthcare solution stack and method thereof.
[0009] An object of the present disclosure is to provide a system and a method which enables online pre-clinical diagnosis that is quick, cost-effective and accurate.
[0010] An object of the present disclosure is to provide a system and a method which enables an assistive investigation coupled with a healthcare provider’s investigation that lead to improved patient outcomes, enhanced healthcare delivery, and better overall healthcare experiences for both patients and healthcare providers.
[0011] An object of the present disclosure is to provide a system and a method for enhancing user scalability and flexibility according to the requirement of the individual user during his/her investigation procedures.
[0012] An object of the present disclosure is to provide a system and a method to provide an improved patient outcome based on a holistic care, accurate diagnosis, personalized treatment, streamlined coordination, efficient workflows, data-driven insights, and patient empowerment.
[0013] An object of the present disclosure is to provide a system and a method to integrate various diagnostic tools, such as imaging systems, laboratory results, and AI-driven diagnostic algorithms, which helps identify potential health issues efficiently and aid in delivering precise treatment plans.
[0014] An object of the present disclosure is to provide a system and a method with a centralized platform for accessing patient information, treatment plans, and progress updates, which facilitates seamless collaboration and enables healthcare teams to work together effectively.
[0015] An object of the present disclosure is to provide a system and a method with a coordinated approach reduces errors, improves patient safety, and enhances the overall continuity of care.

SUMMARY
[0016] This section is provided to introduce certain objects and aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
[0017] In an aspect, the present disclosure relates to a healthcare system facilitating comprehensive end-to-end healthcare solution stack. The system includes one or more processors, and a memory operatively coupled with the one or more processors, where the memory stores instructions which, when executed, cause the one or more processors to receive at least one data packet from one or more computing devices associated with one or more users. The at least one data packet pertains to an Electronic Health Record (EHR) for conducting a pre-clinical diagnosis of a patient. Further, the one or more processors are configured to analyze the at least one data packet to enable an assisted investigation followed by a healthcare professional investigation for the patient, where the assisted investigation pertains to one or more factors. Furthermore, the one or more processors are configured to conduct an assisted post-clinical diagnosis based on the assisted investigation to suggest a medical treatment to the patient by the healthcare professional. Finally, the one or more processors are configured to provide an assisted prescription based on the analysis of the assisted post-clinical diagnosis by the healthcare professional to the patient and facilitate comprehensive end-to-end healthcare solution stack.
[0018] In an embodiment, the EHR pertains to a centralized and latest updated record of the patient's health information. The EHR comprises at least one of a personal information, a medical history, a medication lists, and a laboratory test results.
[0019] In an embodiment, the assisted investigation comprises one or more levels of investigations based on specific requirement of each patient. The one or more levels of investigations comprise at least one of a simple level investigation and a complex level investigation.
[0020] In an embodiment, the simple level investigation pertains to performing a set of preliminary investigations comprising at least one of a basic diagnostic test, an assessment of medical history, and an analysis of common risk factor.
[0021] In an embodiment, the complex level investigation pertains to performing a set of advanced and specialized analyses comprising at least one of a sophisticated diagnosis, a genetic profiling, and an extensive medical imaging.
[0022] In an embodiment, the one or more factors comprise at least one of a disease criticality, a cost, an availability of the healthcare professional, and a reliability of the investigation.
[0023] In an embodiment, the one or more processors may be configured to connect the patient to one or more telemedicine counters based on the assisted prescription to purchase the medicines prescribed by the healthcare professional.
[0024] In an embodiment, the one or more processors may be configured to customize the assisted investigation for the patient based on one more context pertaining to a geographical location, a specific healthcare policies and a healthcare guideline. Further, the one or more processors may be configured to store and analyze the assisted investigation reports for future use.
[0025] In an aspect, the present disclosure relates to a method for facilitating comprehensive end-to-end healthcare solution stack. The method includes receiving, by one or more processors, at least one data packet from one or more computing devices associated with one or more users. The at least one data packet pertains to a Electronic Health Record (EHR) for conducting a pre-clinical diagnosis of a patient. The method includes analyzing, by the one or more processors, the at least one data packet for enabling an assisted investigation followed by a healthcare professional investigation for the patient, wherein the assisted investigation pertains to one or more factors. The method includes conducting, by the one or more processors, an assisted post-clinical diagnosis based on the assisted investigation for suggesting a medical treatment to the patient by the healthcare professional. Finally, method includes providing, by the one or more processors, an assisted prescription based on the analysis of the assisted post-clinical diagnosis by the healthcare professional to the patient and facilitating comprehensive end-to-end healthcare solution stack.
[0026] In an aspect, the present disclosure relates to an user equipment (UE). The UE includes one or more processors coupled with a memory, where the memory stores instructions which, when executed, cause the one or more processors to transmit at least one data packet pertaining to an Electronic Health Record (EHR) for conducting a pre-clinical diagnosis of a patient. The one or more processors are configured to receive and display an assisted investigation report along with an assisted prescription to the patient for facilitating comprehensive end-to-end healthcare solution stack.

BRIEF DESCRIPTION OF DRAWINGS
[0027] The accompanying drawings, which are incorporated herein, and constitute a part of this disclosure, illustrate exemplary embodiments of the disclosed methods and systems in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present disclosure. Some drawings may indicate the components using block diagrams and may not represent the internal circuitry of each component. It will be appreciated by those skilled in the art that invention of such drawings includes the disclosure of electrical components, electronic components or circuitry commonly used to implement such components.
[0028] FIG. 1 illustrates exemplary network architecture (100) in which or with which embodiments of the present disclosure may be implemented.
[0029] FIG. 2 illustrates an exemplary block diagram (200) of the proposed system, in accordance with an embodiment of the present disclosure.
[0030] FIG. 3 illustrates an exemplary representation (300) of the process block diagram architecture, in accordance with an embodiment of the present disclosure.
[0031] FIG. 4 illustrates an exemplary flow diagram (400) of the proposed method, in accordance with an embodiment of the present disclosure.
[0032] FIG. 5 illustrates an exemplary computer system (500) in which or with which embodiments of the present disclosure may be implemented.
[0033] The foregoing shall be more apparent from the following more detailed description of the disclosure.

DETAILED DESCRIPTION
[0034] In the following description, for the purposes of explanation, various specific details are set forth in order to provide a thorough understanding of embodiments of the present disclosure. It will be apparent, however, that embodiments of the present disclosure may be practiced without these specific details. Several features described hereafter can each be used independently of one another or with any combination of other features. An individual feature may not address all of the problems discussed above or might address only some of the problems discussed above. Some of the problems discussed above might not be fully addressed by any of the features described herein.
[0035] The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the invention as set forth.
[0036] The present invention provides solution to the above-mentioned problem in the art by providing a system and a method for a complete healthcare solution stack while describing an end-to-end framework from symptom to cure. As a function of various digital services, the system primarily fulfils a crucial requirement in that of a quick, correct and affordable diagnosis. A preliminary diagnosis while being central is encircled by a compendium of workflows and services integrated into the architecture that help complete the healthcare stack. The system can successively provide pre-clinical diagnosis, investigation assistance, post-clinical diagnosis and medical prescription services with the inclusion of expert medical knowledge, Artificial intelligence-based reasoning engine, electronic health records, and multilingual and multimodal interfaces intend to create a comprehensive and personalised experience for the patients and healthcare professionals alike
[0037] The various embodiments throughout the disclosure will be explained in more detail with reference to FIGs. 1-5.
[0038] FIG. 1 illustrates exemplary network architecture (100) in which or with which embodiments of the present disclosure may be implemented.
[0039] Referring to FIG. 1, the exemplary network architecture 100 is depicted in which or with which a healthcare system 110 (also referred as a system 110) for facilitating comprehensive end-to-end healthcare solution stack may be implemented. As illustrated, the system 110 may be equipped with an artificial intelligence (AI) engine 108 for facilitating decision-making capabilities for population health management, resource allocation and continuously improve healthcare practices. Further, the system 110 may receive at least one data packet including an Electronic Health Record (EHR) from one or more computing devices (104-1, 104-2…104-N) associated with one or more users (102-1, 102-2…102-N). The user 102 can include but not limited to a patient, a healthcare provider, an administrator, and the likes.
[0040] Referring to FIG. 1, the exemplary network architecture 100 is depicted in which or with which a system 110 for facilitating comprehensive end-to-end healthcare solution stack, in accordance with an embodiment of the present disclosure.
[0041] In an embodiment, the system 110 may be communicatively coupled to the one or more computing devices (104-1, 104-2…104-N) through a communication network 106. A person of ordinary skill in the art will understand that one or more computing devices (104-1, 104-2…104-N) may be individually referred to as computing device 104 and collectively referred to as computing devices 104. Similarly, one or more users (102-1, 102-2…102-N) may be individually referred to as user 102 and collectively referred to as users 102. In an embodiment, the computing device 106 may also be referred to as User Equipment (UE). Accordingly, the terms “computing device” and “User Equipment (UE)” may be used interchangeably throughout the disclosure.
[0042] According to various embodiments of the present disclosure, the AI engine 108 can perform automatic medical attribute detection, identification and input generation by using signal processing analytics. In an illustrative embodiment, the AI techniques can include, but not limited to, any or a combination of machine learning (referred to as ML hereinafter), deep learning (referred to as DL hereinafter) using concepts of neural network techniques.
[0043] In an exemplary embodiment, the computing device 104 may include one or more processing units such as, but not limited to, a data transmitting unit, a data management unit, a display unit, and other units, wherein the other units may include, without limitation, a storage unit, a computing unit, and/or a signal generation unit.
[0044] In an embodiment, the computing device 104 may transmit the at least one data packet including one or more parameters over a point-to-point or point-to-multipoint communication channel or network 106 to the system 110.
[0045] In an embodiment, the computing device 104 may involve collection, analysis, and sharing of data received from the system 110 via the communication network 106. In an embodiment, the computing device 104 may enable presentation of information to the one or more users 102.
[0046] In an embodiment, the system 110 may receive at least one data packet from one or more computing devices 104 associated with the users 102. The at least one data packet pertains to an Electronic Health Record (EHR) for conducting a pre-clinical diagnosis of a patient, the EHR may include, but not limited to a at least one of a personal information, a medical history, a medication lists, and a laboratory test results, and the like. The at least one data packet may be received from the one or more computing devices 104. In an embodiment, the EHR pertains to a centralized and latest updated record of the patient's health information.
[0047] In an embodiment, the system 110 may analyze the at least one data packet to enable an assisted investigation based on one or more factors followed by a healthcare professional investigation for the patient. The one or more factors can include but not limited to a disease criticality, a cost, an availability of the healthcare professional, and a reliability of the investigation. The assisted investigation comprises one or more levels of investigations based on specific requirement of each patient. The one or more levels of investigations comprises at least one of a simple level investigation and a complex level investigation. The simple level investigation pertains to performing a set of preliminary investigations comprising at least one of a basic diagnostic test, an assessment of medical history, and an analysis of common risk factor. The complex level investigation pertains to performing a set of advanced and specialized analyses comprising at least one of a sophisticated diagnosis, a genetic profiling, and an extensive medical imaging.
[0048] In an embodiment, the system 110 may conduct an assisted post-clinical diagnosis based on the assisted investigation to suggest a medical treatment to the patient by the healthcare professional. Further, system 110 may connect the patient to one or more telemedicine counters based on the assisted prescription to purchase the medicines prescribed by the healthcare professional. The system 110 may customize the assisted investigation for the patient based on one more context pertaining to a geographical location, a specific healthcare policies and a healthcare guideline. Finally, the system 110 may store and analyze the assisted investigation reports for future use.
[0049] In an aspect, for instance, the system 110 can receive an input corresponding to a query pertaining to one or more symptoms associated with an anomalous state of the user 102. The anomalous state may represent a diseased state, infectious state or a state caused by accident of the user 102. The system 110 may then extract a first set of attributes associated with the input received with any or a combination of the one or more symptoms of the anomalous state of the user 102, demographic conditions and location, personal details of the user 102. For example, the input details may further include user’s personal and demographic information such as age and gender, the user details for presenting symptoms in order to differentiate them from the system derived symptoms.
[0050] In an exemplary embodiment, the communication network 106 may include, but not be limited to, at least a portion of one or more networks having one or more nodes that transmit, receive, forward, generate, buffer, store, route, switch, process, or a combination thereof, etc. one or more messages, packets, signals, waves, voltage or current levels, some combination thereof, or so forth. In an exemplary embodiment, the communication network 106 may include, but not be limited to, a wireless network, a wired network, an internet, an intranet, a public network, a private network, a packet-switched network, a circuit-switched network, an ad hoc network, an infrastructure network, a Public-Switched Telephone Network (PSTN), a cable network, a cellular network, a satellite network, a fiber optic network, or some combination thereof.
[0051] In an embodiment, the one or more computing devices 104 may communicate with the system 110 via a set of executable instructions residing on any operating system. In an embodiment, the one or more computing devices 104 may include, but not be limited to, any electrical, electronic, electro-mechanical, or an equipment, or a combination of one or more of the above devices such as mobile phone, smartphone, Virtual Reality (VR) devices, Augmented Reality (AR) devices, laptop, a general-purpose computer, desktop, personal digital assistant, tablet computer, mainframe computer, or any other computing device, wherein the one or more computing devices 106 may include one or more in-built or externally coupled accessories including, but not limited to, a visual aid device such as camera, audio aid, a microphone, a keyboard, input devices for receiving input from the user 102 such as touch pad, touch enabled screen, electronic pen, receiving devices for receiving any audio or visual signal in any range of frequencies, and transmitting devices that can transmit any audio or visual signal in any range of frequencies. It may be appreciated that the one or more computing devices 104 may not be restricted to the mentioned devices and various other devices may be used.
[0052] Although FIG. 1 shows exemplary components of the network architecture 100, in other embodiments, the network architecture 100 may include fewer components, different components, differently arranged components, or additional functional components than depicted in FIG. 1. Additionally, or alternatively, one or more components of the network architecture 100 may perform functions described as being performed by one or more other components of the network architecture 100.
[0053] FIG. 2 illustrates an exemplary block diagram 200 of the proposed system 110, in accordance with an embodiment of the present disclosure.
[0054] FIG. 2, with reference to FIG. 1, illustrates an exemplary representation of the system 110 for facilitating comprehensive end-to-end healthcare solution stack, in accordance with an embodiment of the present disclosure. In an aspect, the system 110 may comprise one or more processor(s) 202. The one or more processor(s) 202 may be implemented as one or more microprocessors, microcomputers, microcontrollers, edge or fog microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that process data based on operational instructions. Among other capabilities, the one or more processor(s) 202 may be configured to fetch and execute computer-readable instructions stored in a memory 204 of the system 110. The memory 204 may be configured to store one or more computer-readable instructions or routines in a non-transitory computer readable storage medium, which may be fetched and executed to create or share data packets over a network service. The memory 204 may comprise any non-transitory storage device including, for example, volatile memory such as Random Access Memory (RAM), or non-volatile memory such as Erasable Programmable Read-Only Memory (EPROM), flash memory, and the like.
[0055] Referring to FIG. 2, the system 110 may include an interface(s) 206. The interface(s) 206 may comprise a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) 206 may facilitate communication to/from the system 110. The interface(s) 206 may also provide a communication pathway for one or more components of the system 110. Examples of such components include, but are not limited to, processing unit/engine(s) 208 and a database 210.
[0056] In an embodiment, the processing unit/engine(s) 208 may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) 208. In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) 208 may be processor-executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) 208 may comprise a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) 208. In such examples, the system 110 may comprise the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to the system 110 and the processing resource. In other examples, the processing engine(s) 208 may be implemented by electronic circuitry.
[0057] In an embodiment, the database 210 may comprise data that may be either stored or generated as a result of functionalities implemented by any of the components of the processor 202 or the processing engines 208. In an embodiment, the database 210 may be separate from the system 110.
[0058] In an exemplary embodiment, the processing engine 208 may include one or more engines selected from any of a data acquisition engine 212, a pre-clinical diagnosis engine 214, a symptom checker engine 216, an investigation engine 218, a post-clinical diagnosis engine 220, a prescription service engine 222 and other engine(s) 226 such as, but not limited to, data computing engine, data analyzing engine, and data sorting engine. The processing engine 208 may further be dedicated for executing complex schematic processing but not limited to the like.
[0059] In an embodiment, the data acquisition unit 212 may receive at least one data packet including the Electronic Health Record (EHR) from one or more computing devices 104 of FIG. 1. In an embodiment, the EHR pertains to a centralized and latest updated record of the patient's health information, where the EHR comprises at least one of a personal information, a medical history, a medication lists, and a laboratory test results.
[0060] In an embodiment, the pre-clinical diagnosis engine 214 where early detection and prediction of diseases or conditions before clinical symptoms manifest. It utilizes advanced algorithms and data analysis techniques to analyze various sources of data, such as medical records, genetic information, lifestyle factors, and biomarkers, to identify potential risks and indicators of diseases at an early stage.
[0061] In an embodiment, the symptom checker engine 216 may assists users 102 in assessing the symptoms and provides potential explanations or recommendations based on the received least one data packet.
[0062] In an embodiment, the investigation service engine 218 may analyze at least one data packet to enable an assisted investigation based on the one or more factors, and followed by a healthcare professional investigation for the patient.
[0063] In an embodiment, the post-clinical diagnosis engine 220 may assists in analyzing and interpreting clinical data and information after a diagnosis. The post-clinical diagnosis engine 220 focuses on refining and optimizing treatment plans, monitoring patient progress, and providing decision support for healthcare providers in the post-diagnosis phase.
[0064] In an embodiment, the prescription service engine 222 may provide prescription based on the analysis of the assisted post-clinical diagnosis by the healthcare professional to the patient.
[0065] It may be appreciated that the components of the system 110 may be flexible to accommodate changes.
[0066] FIG. 3 illustrates an exemplary representation 300 of the process block diagram architecture, in accordance with an embodiment of the present disclosure.
[0067] As illustrated in FIG. 3 an exemplary block diagram (300) representation of the proposed system in accordance with an embodiment of the present disclosure. In an exemplary embodiment, the block diagram representation may include an external gateway 302 operatively coupled to a medical knowledge graph 304, a medical knowledge gateway 306, a conversation engine 308, an electronic health record gateway 310. The knowledge gateway 306 may be further operatively coupled to a medical knowledge graph 304 and an artificial intelligence (AI) symptom checker engine 314. The electronic health record gateway 310 operatively coupled to an electronic health record 312.
[0068] In an embodiment, the external gateway 302 enables secure and controlled communication between the system 110 and users 102. The external gateway 302 act as a connection point for exchanging data, information, or services while ensuring privacy, security, and compliance with healthcare regulations. The medical knowledge graph 304 represents structured medical knowledge in a graph-like structure, the Medical Knowledge Gateway 306 provides access to medical knowledge repositories, and the external gateway 302.
[0069] Further, the conversation engine 308 enables natural language interaction and conversation between the user and the system. It utilizes techniques from natural language processing, machine learning, and dialogue management to understand user inputs, generate appropriate responses, and maintain context throughout the conversation. The AI diagnosis engine (Symptom Checker) 314, assists in diagnosing medical conditions based on reported symptoms. It uses algorithms, medical databases, and machine learning models to analyze symptom descriptions provided by the user and generate potential diagnoses or recommendations. The AI Diagnosis Engine 314 takes into account various factors such as the reported symptoms, medical history, demographic information, and relevant clinical guidelines to provide personalized and accurate diagnostic suggestions. The Electronic Health Record (EHR) Gateway 310 facilitates the secure and controlled exchange of the electronic health record 312 between different healthcare entities or systems. Together, these components contribute to enhanced knowledge management, information retrieval, and collaboration in the healthcare domain.
[0070] FIG. 4 illustrates an exemplary flow diagram 400 of the proposed method, in accordance with an embodiment of the present disclosure.
[0071] As illustrated, the method 400 may include receiving at least one data packet from one or more computing devices 106 associated with one or more users 102. The at least one data packet pertains to the EHR for conducting a pre-clinical diagnosis of the patient 102. Further, at step 406, initial symptoms are detected, at step 408, a core problem is diagnosed for generating an assisted pre-clinical diagnosis, at step 410 based on one or more factors including but not limited to a disease criticality, a cost, an availability of the healthcare professional, a reliability of the investigation. At step 412, the pre-clinical diagnosis report is provided to the healthcare professional. Further, at step 430, a further investigation is verified. If the healthcare professional advices for further investigation, step 414 is executed. Else, step 418 is executed.
[0072] In another embodiment, at step 414 analyzing the at least one data packet for enabling an assisted investigation followed by a healthcare professional investigation for the patient, where the assisted investigation pertains to one or more factors including but not limited to a disease criticality, a cost, an availability of the healthcare professional, a reliability of the investigation, and the like. The assisted investigation comprises one or more levels of investigations based on specific requirement of each patient. The one or more levels of investigations comprise at least one of a simple level investigation and a complex level investigation. The simple level investigation pertains to performing a set of preliminary investigations including but not limited to a basic diagnostic test, an assessment of medical history, an analysis of common risk factor, and the like. The complex level investigation including but not limited to sophisticated diagnosis, a genetic profiling, an extensive medical imaging, and the like.
[0073] In another embodiment, at step 426 conducting an assisted post-clinical diagnosis based on the analysis of the assisted investigation report 424 for suggesting a medical treatment at step 428, to the patient by the healthcare professional. Further, at step 418 the assisted prescription is generated based on the analysis of the assisted post-clinical diagnosis by the healthcare professional 428 and facilitate comprehensive end-to-end healthcare solution stack. At step 404, necessary feedbacks are obtained from the prescription provided by the healthcare provider for driving improvement, enhancing patient care, and optimizing processes.
[0074] FIG. 5 illustrates an exemplary computer system 500 in which or with which embodiments of the present disclosure may be implemented. In an embodiment, a UE such as, the UE 106 of FIG. 1 and/or the proposed system 110 of FIGs. 1 or 2 may be implemented as the computer system 500.
[0075] As shown in FIG. 5, the computer system 500 may include an external storage device 510, a bus 520, a main memory 530, a read-only memory 540, a mass storage device 550, communication port(s) 560, and a processor 570. A person skilled in the art will appreciate that the computer system 500 may include more than one processor and communication ports. The processor 570 may include various modules associated with embodiments of the present disclosure. The communication port(s) 560 may be any one of an RS-232 port for use with a modem based dialup connection, a 10/100 Ethernet port, a Gigabit or 10 Gigabit port using copper or fibre, a serial port, a parallel port, or other existing or future ports. The communication port(s) 560 may be chosen depending on a network, or any network to which the computer system 500 connects. The main memory 530 may be Random Access Memory (RAM), or any other dynamic storage device commonly known in the art. The read-only memory 540 may be any static storage device(s). The mass storage device 550 may be any current or future mass storage solution, which can be used to store information and/or instructions.
[0076] The bus 520 communicatively couples the processor(s) 570 with the other memory, storage, and communication blocks. Optionally, operator and administrative interfaces, e.g. a display, keyboard, and a cursor control device, may also be coupled to the bus 520 to support direct operator interaction with the computer system 500. Other operator and administrative interfaces can be provided through network connections connected through the communication port(s) 560. Components described above are meant only to exemplify various possibilities. In no way should the aforementioned exemplary computer system 500 limit the scope of the present disclosure.
[0077] While considerable emphasis has been placed herein on the preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the disclosure. These and other changes in the preferred embodiments of the disclosure will be apparent to those skilled in the art from the disclosure herein, whereby it is to be distinctly understood that the foregoing descriptive matter to be implemented merely as illustrative of the disclosure and not as limitation.

ADVANTAGES OF THE PRESENT DISCLOSURE
[0078] The present disclosure provides a healthcare system facilitating comprehensive end-to-end healthcare solution stack and method thereof.
[0079] enables online pre-clinical diagnosis that is quick, cost-effective and accurate.
[0080] The present disclosure enables an assistive investigation coupled with a healthcare provider’s investigation that lead to improved patient outcomes, enhanced healthcare delivery, and better overall healthcare experiences for both patients and healthcare providers.
[0081] The present enhancing user scalability and flexibility according to the requirement of the individual user during his/her investigation procedures.
[0082] provide an improved patient outcome based on a holistic care, accurate diagnosis, personalized treatment, streamlined coordination, efficient workflows, data-driven insights, and patient empowerment.
[0083] The present disclosure integrates various diagnostic tools, such as imaging systems, laboratory results, and AI-driven diagnostic algorithms, which helps identify potential health issues efficiently and aid in delivering precise treatment plans.
[0084] The present disclosure provides a centralized platform for accessing patient information, treatment plans, and progress updates, which facilitates seamless collaboration and enables healthcare teams to work together effectively.
[0085] The present disclosure provides a coordinated approach reduces errors, improves patient safety, and enhances the overall continuity of care.

,CLAIMS:1. A healthcare system (110) facilitating comprehensive end-to-end healthcare solution stack, the system (110) comprising:
one or more processors (202); and
a memory (204) operatively coupled with the one or more processors (202), wherein said memory (204) stores instructions which, when executed, cause the one or more processors (202) to:
receive at least one data packet from one or more computing devices (104) associated with one or more users (102), wherein the at least one data packet pertains to an Electronic Health Record (EHR) for conducting a pre-clinical diagnosis of a patient;
analyze the at least one data packet to enable an assisted investigation followed by a healthcare professional investigation for the patient, wherein the assisted investigation pertains to one or more factors;
conduct an assisted post-clinical diagnosis based on the assisted investigation to suggest a medical treatment to the patient by the healthcare professional; and
provide an assisted prescription based on the analysis of the assisted post-clinical diagnosis by the healthcare professional to the patient and facilitate comprehensive end-to-end healthcare solution stack.
2. The system (110) as claimed in claim 1, wherein the EHR pertains to a centralized and latest updated record of the patient's health information, wherein the EHR comprises at least one of a personal information, a medical history, a medication lists, and a laboratory test results.
3. The system (110) as claimed in claim 1, wherein the assisted investigation comprises one or more levels of investigations based on specific requirement of each patient, wherein the one or more levels of investigations comprises at least one of a simple level investigation and a complex level investigation.
4. The system (110) as claimed in claim 3, wherein the simple level investigation pertains to performing a set of preliminary investigations comprising at least one of a basic diagnostic test, an assessment of medical history, and an analysis of common risk factor.
5. The system (110) as claimed in claim 3, wherein the complex level investigation pertains to performing a set of advanced and specialized analyses comprising at least one of a sophisticated diagnosis, a genetic profiling, and an extensive medical imaging.
6. The system (110) as claimed in claim 1, wherein the one or more factors comprises at least one of a disease criticality, a cost, an availability of the healthcare professional, and a reliability of the investigation.
7. The system (110) as claimed in claim 1, wherein the one or more processors (202) is configured to:
connect the patient to one or more telemedicine counters based on the assisted prescription to purchase the medicines prescribed by the healthcare professional.
8. The system (110) as claimed in claim 1, wherein the one or more processors (202) is configured to:
customize the assisted investigation for the patient based on one more context pertaining to a geographical location, a specific healthcare policies and a healthcare guideline; and
store and analyze the assisted investigation reports for future use.
9. A method for facilitating comprehensive end-to-end healthcare solution stack, the method comprising:
receiving, by one or more processors (202), at least one data packet from one or more computing devices (104) associated with one or more users (102), wherein the at least one data packet pertains to a Electronic Health Record (EHR) for conducting a pre-clinical diagnosis of a patient;
analyzing, by the one or more processors (202), the at least one data packet for enabling an assisted investigation followed by a healthcare professional investigation for the patient, wherein the assisted investigation pertains to one or more factors;
conducting, by the one or more processors (202), an assisted post-clinical diagnosis based on the assisted investigation for suggesting a medical treatment to the patient by the healthcare professional; and
providing, by the one or more processors (202), an assisted prescription based on the analysis of the assisted post-clinical diagnosis by the healthcare professional to the patient and facilitating comprehensive end-to-end healthcare solution stack.
10. The method as claimed in claim 9, wherein the EHR pertains to a centralized and latest updated record of the patient's health information, wherein the EHR comprises at least one of a personal information, a medical history, a medication lists, and a laboratory test results.
11. The method as claimed in claim 9, wherein the assisted investigation comprises one or more levels of investigations based on specific requirement of each patient, wherein the one or more levels of investigations comprises at least one of a simple level investigation and a complex level investigation.
12. The method as claimed in claim 11, wherein the simple level investigation pertains to performing a set of preliminary investigations comprising at least one of a basic diagnostic test, an assessment of medical history, and a analysis of common risk factor.
13. The method as claimed in claim 11, wherein the complex level investigation pertains to performing a set of advanced and specialized analyses comprising at least one of a sophisticated diagnosis, a genetic profiling, and an extensive medical imaging.
14. The method as claimed in claim 9, wherein the one or more factors comprises at least one of a disease criticality, a cost, an availability of the healthcare professional, and a reliability of the investigation.
15. The method as claimed in claim 9, comprising:
connecting, by the one or more processors (202), the patient to one or more telemedicine counters based on the assisted prescription to purchase the medicines prescribed by the healthcare professional.

16. The method as claimed in claim 9, comprising:
customizing, by the one or more processors (202), the assisted investigation for the patient based on one more context pertaining to a geographical location, a specific healthcare policies and a healthcare guideline; and
storing and analyzing, by the one or more processors (202), the assisted investigation reports for future use.
17. A user equipment (UE) (104), comprising:
one or more processors; and
a memory operatively coupled with the one or more processors, wherein said memory stores instructions which, when executed, cause the one or more processors to:
transmit at least one data packet pertaining to an Electronic Health Record (EHR) for conducting a pre-clinical diagnosis of a patient; and
receive and display an assisted investigation report along with an assisted prescription to the patient for facilitating comprehensive end-to-end healthcare solution stack.