Description:FORM 2

THE PATENTS ACT, 1970
(39 of 1970)

AND

THE PATENTS RULES, 2003
(See Section 10; rule 13)

COMPLETE SPECIFICATION
AN INTEGRATED MEDICAL AND HEALTH ASSISTANCE AND MANAGEMENT SYSTEM AND A METHOD THEREOF
AB CORPORATIONS
INDIAN
SARITA APARTMENT, UNIT NO 7, SHOP NO 7,
RUSTOM JEE IRANI MARG JS ROAD, DAHISAR
WEST, MUMBAI, MAHARASHTRA, INDIA-400068
The following specification particularly describes the invention and manner in which
it is to be performed.

FIELD OF THE INVENTION
[0001] The present invention relates to an integrated medical and health assistance and management system. More particularly, it pertains to an integrated platform for one stop access of patient medical records, providing an overall health analysis of the patients using an AI enabled system, and initiating a medicine delivery and reminder protocol based on prescribed dosage and medicines provided by a medical practitioner.
BACKGROUND OF THE INVENTION
[0002] In general, medical infrastructure in India is diversified and vast and divided into private and public hospitals, health care centers, free clinics and check-up centers. In spite of such an elaborate and diverse hospital network, a lot of patients face challenges in accessing their medical records as and when requested.
[0003] In these private and public hospitals use varied record systems and software with incompatible formats (e.g., PDFs, handwritten scans, structured databases). Additionally, no uniform medical coding system (like ICD-10, SNOMED CT) is enforced across all healthcare providers which increases difficulty in accessing medical records in India.
[0004] Additionally, many doctors, especially in rural areas, are reluctant or untrained in using digital systems. Also, older and rural populations may not use digital platforms like the ABHA (Ayushman Bharat Health Account) effectively which creates disharmony is accessing and seeking medical records of the patients at one platform at a time. Moreover, India’s linguistic diversity makes it hard to standardize patient information or extract structured data from records which makes it difficult to access the medical records unless proper translations are provided.
[0005] Furthermore, due to the inaccessibility of medical records readily by the patients, it becomes difficult for patients to receive their medicines if they are not carrying the prescription in person. This leads to difficulty in receiving the right medicines at the right time as prescribed by the doctors.
[0006] In order to overcome the above-mentioned challenges, several applications exist, such as an integrated network system to access and update medical records in private network hospitals. A physical health card was introduced by the Ayushman Bharat Health Account for accessing the medical records digitally in rural hospitals. Furthermore, many medicine delivery and alerting applications and wearables are also exist in the market, which sends timely reminders to take medicines as well as deliver the medicines to the user within a certain time interval.
[0007] However, these existing applications faces problem of harmonized network interactivity between private and public hospitals. Furthermore, the existing medicine delivery applications delivers the ordered medicines by the user without verification of the medicines from a prescribed doctor leading to misuse or abuse of the medicines. These existing applications generally receives the prescriptions uploaded by the patients themselves and does not incorporate any verification mechanisms to determine the authenticity and veracity of the medical prescriptions, and thereby encouraging medicine delivery for even fake or expired prescriptions.
[0008] Furthermore, the existing reminder applications are also integrated with alarm systems which are based on the inputs provided by the user themselves. Therefore, in an instance the user sets a wrong alarm or forgets to set the alarm, the reminder and warning applications would not function optimally.
[0009] Therefore, the existing applications have disadvantages with respect to a lack of a harmonized integrated network system, medicine delivery applications and health consultation apps providing medicines and consultation without accessing health records and prescribed dosage of medicines prescribed to the patients which in turn jeopardizes the health of the patients further. In this regard, a few existing arts are discussed below, which render the existing medical records access system and medicine delivery systems ineffective and often threatening health and well-being of the patients.
[0010] US20140074505A1: This invention provides a point of care device configured to store and access medical records and prescriptions of patients, associate medical prescription to a patient and use offsite medical dispensaries to enable delivery of prescribed medicines to the patients. However, this invention uses a specific point of care device which increases system complexity and difficulty in usage, where network connectivity is not there for operating the point of care device.
[0011] US20090204439A1: The invention provides an apparatus for managing health care data. The apparatus includes a receiver configured to receive health care data from information sources, and a processor configured to assign pre-specified content and context to each datum of the received health care data to structure the received health care data. The processor further includes a transmitter configured to transmit the structured health care data to a data repository. The processor is configured to embed a decision support tool into an electronic medical record. The decision support tool includes the structured health care data stored in the data repository. However, this invention uses a specific data repository and processing unit which increases system complexity and difficulty in usage, where network connectivity is not there for operating the point of care device.
[0012] US8731964: The system employs a common repository for storage of patient demographics, medical history, treatment history, accounting and billing history, and a medical knowledge base that provides a relational data base which allows the medical practitioner and/or medical staff to quickly generate medical information based upon a diagnostic determination and cascade this generated information to populate an integrated administrative and medical record system. The system vastly simplifies the process of documenting patient care and creating detailed chart notes by simple clicks on a user interface. However, this invention talks about existing prior arts which only provide medical record access to the network hospitals administrators but not accessible to the patients.
[0013] US20180322946A1: The D4 invention provides a healthcare actionable intelligence data generation and distribution system (HAIDGDS) comprising at least one processor configured to execute computer program instructions for securely generating and distributing healthcare actionable intelligence data to multiple requesting entities in a computing environment. The HAIDGDS receives a healthcare eligibility request from one or more requesting entities. The HAIDGDS identifies a patient from the received healthcare eligibility request. The HAIDGDS retrieves and compiles healthcare data sets of the identified patient from multiple healthcare data sources comprising, for example, precompiled existing data sources, via a secure electronic connectivity mode, for example, a secure electronic data interchange (EDI) connectivity mode. The HAIDGDS stores and transforms the retrieved and compiled healthcare data sets into a unified data structure. The HAIDGDS executes a specialized algorithm for determining overall patient health status and for generating healthcare recommendations and alerts for the identified patient by analyzing healthcare data contained in the unified data structure which is a repository of preexisting and ongoing healthcare data sets. The HAIDGDS generates a healthcare actionable intelligence report comprising the determined overall patient health status, the generated healthcare recommendations, and the generated alerts as a part of the healthcare actionable intelligence data. The HAIDGDS generates and distributes a secure report access link with active session login information to access the generated healthcare actionable intelligence report to one or more requesting entities via a communication network, for example, the world wide web, a peer-to-peer environment, the internet or private connections comprising cloud-based communication mechanisms, etc., using one or more of multiple data exchange protocols. However, this invention talks about existing prior arts which only provide medical record access to the network hospitals administrators but not accessible to the patients.
[0014] US12014289: This invention provides a system including a monitor device and an artificial intelligence (AI) system. The monitor device is configured to monitor one or more physical properties of a user. The AI system is configured to receive and analyze the monitored physical properties to generate one or more activity parameters optimized or personalized to the user. The AI system is configured to implement one or more artificial intelligence techniques such as predictive learning, machine learning, automated planning and scheduling, machine perception, computer vision, and affective computing to generate one or more activity parameters optimized or personalized to a user.
[0015] US12260947: The present disclosure relates to systems and methods for managing a medical supply chain. According to one aspect, a remote medical management environment can include a medical management system intermediary to a plurality of patients and a plurality of medical care providers. The medical management system can communicate with medical dispensing devices configured to dispense medication to patients. Further, the medical management system can communicate with provider devices through which medical care providers can provide information regarding services provided to users or instructions associated with medication use. The medical management system can detect medication supply events based on information communicated by the medical dispensing devices and/or provider devices or based on information stored at the medical management system. Upon detecting a supply/refill event, the medical management system can initiate a supply refill process for supplying medication or medical device(s) to a patient. However, this invention discloses dispensing of medicines to hospitals and medical care service providers in bulk but not directly to the users.
[0016] US10032005: This invention provides systems and methods to provide safe, secure and accurate point-to-point delivery of prescription and non-prescription drugs in the long-term home care or ambulatory care environment. More specifically, embodiments of the present invention provide for a low-cost, easy-to-use system comprised of a secure drug dispensing unit and medication enclosure combined with wireless connectivity and software based on smart mobile phone technology. Such systems and methods, referred to herein as a Secure, Control, and Enhance Medication Adherence (SCEMA) system, can mitigate the aforementioned risks associated with the use of prescription and non-prescription drugs. These risks can be significantly reduced for the elderly in the homecare environment, as well as the general public, without disrupting, or a significantly increasing the cost, to the existing prescription and non-prescription drug distribution infrastructure. In addition, the SCEMA system can provide a powerful platform for drug research. However, this invention provides a predictive diagnosis and prognosis before visiting an actual doctor and therefore provides a computationally heavy invention which increases system complexity.
[0017] Therefore, in light of the above-mentioned problems, an improved integrated medical and health assistance and management system is required for providing one stop access of patient medical records and initiating a medicine delivery and reminder protocol based on prescribed dosage and medicines provided by a medical practitioner.
OBJECT OF THE INVENTION
[0018] The objective of the present invention is to provide an integrated medical and health diagnosis system to initiate delivery of prescribed medicines to users.
[0019] Yet another objective of the present invention is to provide delivery of prescribed medicines to users from nearest network pharmacy by checking stock availability of the medicine.
[0020] Yet another objective of the present invention is to provide an integrated and harmonized access of patient medical records by users, medical practitioners, and network pharmacists through a virtual card for ease of accessibility of medical records.
[0021] Yet another objective of the present invention is to provide an integrated system which verifies and initiates medicine delivery and sale upon verification with the prescription provided by the medical practitioners.
[0022] Yet another objective of the present invention is to reduce user fatigue and provide translations of the medical prescription into regional Indian languages for ease of readability and understanding.
[0023] Yet another objective of the present invention is to provide real-time, offline access to health records through a physical Smart QR Card and wristband, enabling seamless medical interventions in internet-deprived regions.
[0024] Yet another objective of the present invention is to facilitate predictive medication replenishment by analyzing prescription schedules and sending pre-emptive alerts to connected pharmacies for just-in-time delivery.
[0025] Yet another objective of the present invention is to integrate a real-time medical stock monitoring system across pharmacy networks, enabling dynamic rerouting of orders to alternate suppliers based on availability and location.
[0026] Yet another objective of the present invention is to enable rapid and secure access to medical history in emergency situations via biometric validation or QR code scanning without requiring internet access.
[0027] Yet another objective of the present invention is to enable secure offline storage of patient health records on mobile devices and automatic synchronization with central servers when connectivity is available, thereby ensuring continuity of care in rural or low-bandwidth regions of India.

SUMMARY OF THE INVENTION
[0028] Within the scope of this application, it is expressly envisaged that the various aspects, embodiments, examples and alternatives set out in the preceding paragraphs, in the claims and/or in the following description and drawings, and in particular the individual features thereof, may be taken independently or in any combination. Features described in connection with one embodiment are applicable to all embodiments, unless such features are incompatible.
[0029] The present invention generally relates to an integrated medical and health assistance and management system comprising a plurality of input units, a plurality of data processing units, a plurality of data storage units, a data retrieval unit, and a plurality of output units. The plurality of input units comprising one of a biometric input and a non-biometric input. The plurality of data processing units comprising one or more data security units, one or more data verification units, one or more data tracking and compliance units, one or more alert units, and one or more language translation units. The plurality of output units comprising one or more data display units, one or more data updating units, and one or more direction delivery units. The integrated medical and health assistance and management system being configured to analyze and ensure delivery of medicines to users based on timelines prescribed in a medical practitioner’s prescription. The integrated medical and health assistance and management system is configured to perform overall health diagnosis and assessments based on analysis of past medical records of each of the users.
[0030] In another aspect of the present invention, is a method for performing integrated medical and health assistance by an integrated medical and health assistance and management system, the method comprising the following steps. Firstly, receiving one or more inputs from a plurality of input units, and the plurality of inputs being a biometric input or a non-biometric input. Secondly, processing the one or more inputs by a plurality of data processing units based on a command given by one of a user, a medical practitioner, and a network pharmacist. Thirdly, storing the one or more inputs in a plurality of data storage units. Fourthly, retrieving information sought by one of the user, the medical practitioner, and the network pharmacist, by a data retrieval unit. Fifthly, displaying one or more output on a computer device by a plurality of output units. The integrated medical and health assistance and management system is configured to analyze and ensure delivery of medicines to users based on timeline prescribed in a medical practitioner’s prescription, and the integrated medical and health assistance and management system is configured to perform overall health diagnosis and assessments based on analysis of past medical records of each of the users. In an embodiment, the medicines mentioned is specifically medically prescribed medicines and drugs prescribed by licensed medical practitioners.
[0031] Various objects, features, aspects and advantages of the inventive subject matter will become more apparent from the following detailed description of preferred embodiments, along with the accompanying drawing figures in which like numerals represent like components.

[0032] BRIEF DESCRIPTION OF DRAWINGS
[0033] The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter of the present invention.
[0034] Figure 1: A block diagram representing the plurality of units of an integrated medical and health assistance and management system.
[0035] Figure 2: A flowchart displaying a method for performing integrated medical and health assistance by an integrated medical and health assistance and management system.
[0036] Figure 3: A flowchart displaying a method for performing integrated medical and health assistance with a medicine refill alert mechanism by the integrated medical and health assistance and management system.
[0037] Figure 4: A flowchart displaying a method for processing by one or more processing units upon a command is given by the user for purchasing medicines in person from a network pharmacist's shop by the integrated medical and health assistance and management system.
[0038] Figure 5: A flowchart displaying a method for data updating in the system after a hospital visit by a patient by the integrated medical and health assistance and management system.
[0039] Figure 6: A flowchart displaying a method for processing by the integrated medical and health assistance and management system when the command is given by the medical practitioner.
[0040] Figure-7: A flowchart displaying a method for processing by the integrated medical and health assistance and management system to provide alternative medicine prompts based on residential location of the patient.
[0041] Figure 8: A flowchart displaying a method for processing by the integrated medical and health assistance and management system to provide medicine refill alert for chronic diseases.
[0042] Figure-9: A flowchart displaying a AI model operation for enabling reminder alerts for refilling the prescribed medicines.

[0043] DETAILED DESCRIPTION OF THE INVENTION
[0044] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings and flowchart. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments. On the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit, and scope of the present disclosure as defined by the appended claims.
[0045] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details. If the specification states a component or feature “may”, “can”, “could”, or “might” be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic.
[0046] As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
[0047] Although any methods similar or equivalent to those described herein can be used in the practice or testing of embodiments of the present disclosure, the exemplary methods are now described. The described embodiments are merely exemplary of the disclosure, which may be embodied in various forms.
[0048] The headings and abstract of the invention provided herein are for convenience only and do not interpret the scope or meaning of the embodiments. The following discussion provides many example embodiments of the inventive subject matter. Although each embodiment represents a single combination of inventive elements, the inventive subject matter is considered to include all possible combinations of the disclosed elements. Thus, if one embodiment comprises elements A, B, and C, and a second embodiment comprises elements B and D, then the inventive subject matter is also considered to include other remaining combinations of A, B, C, or D, even if not explicitly disclosed.
[0049] Various modifications to the embodiment will be readily apparent to those skilled in the art, and the generic principles herein may be applied to other embodiments. However, an ordinary skill in the art will readily recognize that the present disclosure is not intended to be limited to the embodiments illustrated but is to be accorded with the widest scope consistent with the principles and features described herein.
[0050] The present invention provides an integrated medical and health assistance and management system comprising a plurality of input units, a plurality of data processing units, a plurality of data storage units, a data retrieval unit, and a plurality of output units. The plurality of input units comprising one of a biometric input and a non-biometric input. The plurality of data processing units comprising one or more data security units, one or more data verification units, one or more data tracking and compliance units, one or more alert units, and one or more language translation units. The plurality of output units comprising one or more data display units, one or more data updating units, and one or more direction delivery units. The integrated medical and health assistance and management system being configured to analyze and ensure delivery of medicines to users based on timelines prescribed in a medical practitioner’s prescription. The integrated medical and health assistance and management system is configured to perform overall health diagnosis and assessments based on analysis of past medical records of each of the users.
[0051] Figure 1: A block diagram representing the plurality of units of an integrated medical and health assistance and management system (100). An integrated medical and health assistance and management system (100) comprising a plurality of input units (101). The plurality of input units (101) is configured to receive a biometric input as well as non-biometric input. In one embodiment, the plurality of input units (101) is configured to receive a name, date of birth, age, gender, biometric face scanning details, biometric fingerprint scanning details, phone number, emergency contact details, residential addresses, blood group details, organ donation status, Body Mass Index (BMI) details, height and weight details, family medical history details, user’s current medical history and medication details, surgery history, genetic disorders, allergies or chronic conditions, dates and upcoming appointments with medical practitioners, images and files of medical documents including prescriptions, test reports, vaccination history details, and dietary restrictions or preference details. In one embodiment, the user is configured to all the details or fill one or more details based on his preferences and need. In another embodiment, the phrase medical practitioners including but not limited to doctors, nurses, hospital administrative authorities, both government and private hospitals, free clinic support authorities, and medical camp establishments.
[0052] In another embodiment, the biometric input is provided by a portable scanning machine. In another embodiment, the non-biometric input is an identification card number of the user, the non-biometric input is provided manually by the users. In one embodiment, an identification card number is a four-digit code which acts as an access pin for receiving and accessing the medical records of the user. In one embodiment, the portable, contactless biometric scanning devices are equipped with facial recognition and fingerprint authentication deployed at health practitioners' workstations and hospital reception points. These devices facilitate hygiene and rapid patient identification while simultaneously capturing real-time biometric inputs. The collected data is continuously cross compared with each individual’s longitudinal medical profile stored within the system (100).
[0053] The integrated medical and health assistance management system (100) further comprising a plurality of data processing units (102) comprising one or more data security units, one or more data verification units, one or more data tracking and compliance units, one or more alert units, and one or more language translation units. In one embodiment, the one or more data security units including secure accessibility of patient medical records through OTP verification, and the one or more data security units are one or more blockchain platforms. The OTP verification occurs with a registered mobile number of the user for confirming access of the medical records for personal use or for sharing the same with the medical practitioner or a network pharmacist.
[0054] In another embodiment, the one or more data verification units of the plurality of data processing units (102) are configured to securely verify the input data with predefined data, the predefined data is saved and provided in a plurality of data storage units. The one or more data verification units enable verification of the user input data with the medical prescription generated by the medical prescription at one or more network pharmacies of the integrated medical and health assistance and management system.
[0055] In another embodiment, the one or more data tracking and compliance units of the plurality of data processing units (102) is configured to track a plurality of medicine dosage and prescription updates made by the medical practitioners. In another embodiment, the one or more data tracking and compliance units are configured to store the updated data in a plurality of data storage units (103). The one or more data tracking and compliance units are configured to enable wireless communication with the mobile device of the user and the system of the medical practitioners through wireless communication systems such as WiFi, or Bluetooth etc.
[0056] In another embodiment, the one or more alert units is configured to send timely reminders to take prescribed medical dosage of the medicines by the medical practitioners at prescribed intervals of the day. In one embodiment, the one or more alert units provide alerts in the form of an audio signal, an alarm reminder signal through vibrations, or a video reminder signal provided on a mobile device of the user for reminding the user to take medicines on prescribed time, and also for initiating refilling of the medicines before exhaustion of the medicines.
[0057] In another embodiment, the one or more language translation units of the plurality of data processing units (102) is configured to translate the input data and the medical records of the users into a plurality of languages for ease of accessibility and understanding of the medical records. The one or more language translation units is an AI model. The AI model is configured to operate as a chatbot or a calling agent, and sync the medical records, hospitalization logs, medical practitioner appointments, and test results, and other health data into a smartwatch or other smart devices.
[0058] The integrated medical and health assistance and management system (100) is configured to perform overall health diagnosis and assessments based on analysis of past medical records of each of the users using the AI model. In an embodiment, the AI model is configured to perform instant blood diagnostic, real time vitals determination of the user, detect anomaly patterns, sending critical health alert, display health trends and profile of the user on the smartwatch or other smart devices, and syncing the user data to a data storage unit (103) of the system (100). In one embodiment, the smartwatch is equipped with biosensors to detect and display SpO2 and heart rate sensors for continuous tracking of oxygen levels and cardiac health. A glucometer for real-time blood sugar monitoring, crucial for managing diabetes. A step count calculator to encourage physical activity and track daily movement.
[0059] In another embodiment, the AI model is configured to monitor a comprehensive array of health metrics, including vital signs, dietary habits, exercise routines, and sleep patterns. It provides an all-encompassing oversight, ensuring every aspect of your well-being is meticulously tracked and optimized for peak performance. In another embodiment, the AI model is configured to perform predictive analytics, where machine learning algorithms analyze health data to predict potential issues before symptoms appear, and integration with global health networks for telemedicine and large-scale health monitoring. In another embodiment, the AI model coordinates follow-up visits, ensuring no critical health check-in is missed and also takes appointment on your behalf. Additionally, the AI model serves as personal health concierge, addressing a wide range of inquiries from troubleshooting app features to providing detailed insights on nutrition, fitness regimes, and preventive care strategies.
[0060] In one embodiment, the AI model is integrated with an Adaptive Therapeutic Lifestyle Engine (ATLE) designed to autonomously generate and regulate highly individualized diet and workout plans for patients, based on real-time analysis of their complete medical profile. This includes current medications, comorbidities (e.g., asthma, diabetes), dietary restrictions (e.g., lactose intolerance), physiological parameters (such as BMI, age, gender), lifestyle data, and user-defined health goals. The system intelligently excludes harmful recommendations (e.g., avoids cardio for respiratory conditions or dairy for intolerances), and incorporates dietary strategies known to enhance the pharmacological efficacy of ongoing treatments. The engine also generates a dynamic progress timeline for the patient, forecasting expected milestones. To ensure compliance, if any inconsistency or override attempt is detected either through wearable device data or manual user entry the ATLE system will lock the plan and require formal reactivation and review by a licensed healthcare provider, thereby preserving medical integrity and therapeutic alignment
[0061] Furthermore, the integrated medical and health assistance and management system (100) comprises a plurality of data storage units (103) for storing and receiving updated and plurality of input data from the users, medical practitioners, and the network pharmacists. In one embodiment, the plurality of data storage units (103) is one of a device memory, a cloud server memory, or one or more remotely accessible server memories.
[0062] Additionally, the integrated medical and health assistance and management system (100) comprising a data retrieval unit (104). In one embodiment, the data retrieval unit (104) is a physical card with a four-digit identification number. In another embodiment, the data retrieval unit (104) is a virtual card hosted on a mobile application of a mobile device for the user. The data retrieval by the data retrieval unit occurs upon scanning a QR code provided on the card. In another embodiment, the data retrieval unit is a digital wrist band comprising the QR code for scanning and updating the medical records of the user when admitted to a hospital, and the digital wrist band becomes inoperative when the user gets discharged from the hospital. In another embodiment, after the discharge, the system (100) initiates a seamless reverse-synchronization protocol wherein all clinical interactions, diagnostics, interventions, and procedural metadata previously captured and encrypted within the patient’s dynamic wristband QR identifier are autonomously reintegrated into the patient’s master health profile embedded in the physical and virtual Smart Card. This zero-friction data convergence ensures an immutable, longitudinal continuum of care, allowing the patient’s decentralized health identity to evolve in real time across institutions, without reliance on manual data transfers or administrative intervention. The phrases “user” and “patient” are used interchangeably across the complete specification.
[0063] Furthermore, the integrated medical and health assistance and management system (100) also comprising a plurality of output units (105). The plurality of output units (105) comprising one or more data display units, one or more data updating units, and one or more direction delivery units. In one embodiment, the one or more data display units comprising a display provided on a device screen of the medical practitioner, the users, and the network pharmacy partners. In an embodiment, the device screens is a screen provided on a computer device or a mobile device.
[0064] In one embodiment, the integrated medical and health assistance and management system (100) is configured to analyze and ensure delivery of medicines to users based on timelines prescribed in a medical practitioner’s prescription. In one embodiment, the one or more direction delivery units of the plurality of output units (105) comprising one or more GPS units to locate medicine availability in proximity of the users among the plurality of network pharmacies. In another embodiment, the delivery of medicines occurs within 5-10 minutes based on simultaneous medicine availability and GPS tracking and AI model of the users and the network pharmacies. In one embodiment, the AI model is configured to evaluate medicines uploaded by patients or provided in the medical prescriptions of the patient and informs users about the nuanced general effects of medications, offering a detailed breakdown of potential impacts. In cases of unavailability of the medicines, the AI model ingeniously suggests substitutions with equivalent active ingredients from alternative brands, ensuring continuity of care from an alternate pharmacy within the plurality of network pharmacists. In another embodiment, the user is configured to access the prescribed medicines at the network pharmacies upon scanning of the QR code provided on the card or the virtual card provided on the mobile application.
[0065] Figure 2: A flowchart displaying a method (200) for performing integrated medical and health assistance by an integrated medical and health assistance and management system (100). A method (200) for performing integrated medical and health assistance by an integrated medical and health assistance and management system (100) comprising following the steps. Firstly, receiving (201) one or more inputs from a plurality of input units, wherein the plurality of inputs being a biometric input or a non-biometric input. Secondly, processing (202) the one or more inputs by a plurality of data processing units based on a command given by one of a user, a medical practitioner, and a network pharmacist. Thirdly, storing (203) the one or more inputs in a plurality of data storage units. Fourthly, retrieving (204) information sought by either one of the user, the medical practitioner, and the network pharmacist, by a data retrieval unit. Finally, displaying (205) one or more outputs on a computer device by a plurality of output units. Further, the integrated medical and health assistance and management system (100) is configured to analyze and ensure delivery of medicines to users based on the timeline prescribed in a medical practitioner’s prescription. Additionally, the integrated medical and health assistance and management system (100) is configured to perform overall health diagnosis and assessments based on analysis of past medical records of each of the users. In one embodiment, the biometric input is a face scan or a finger scan using a portable device, and the non-biometric input is a QR scanning through a card or a virtual card or a digital wrist belt or entering an identification number.
[0066] Figure 3: A flowchart displaying a method (300) for performing integrated medical and health assistance by an integrated medical and health assistance and management system (100). The method (300) for performing integrated medical and health assistance with a medicine refill alert mechanism, comprising the following steps. Firstly, accessing (301) active patient prescriptions by the one or more security units. Secondly, forecasting (302) a refill demand by the data processing units (10), specifically the AI model provided in the data processing units (102). Thirdly, checking (303) the network pharmacy inventory both within short and long-distance range by plurality of data processing units (102) and a GPS module. Fourthly, checking (308) delivery time feasibility within 10 minutes to same-day delivery by the data processing units and the GPS module and the AI model. Fifthly, notifying (309) said network pharmacy to prepare for the refill order by one or more alerting units. Sixthly, receiving (310) the refill order request and an e-bill by a processing unit of the network pharmacy by the plurality of data processing units (102), wherein the e-bill is stored and scanned by QR scanning of the card. Seventhly, checking (311) for backup stores within the network pharmacies, when the refill order is not fulfilled, by the data processing unit. Finally, sending (312) medicine shortage forecasts to the user, when the medicine is not found in the network pharmacies, by one or more alerting units of the plurality of data processing units (102). In one embodiment, a substitution engine (306) provided in the plurality of data processing units (102) is configured to send an alert to the users if there is any change in route of the driver as provided in step (313). In another embodiment, the plurality of data processing units (102) and the GPS module is configured to auto-fill the address and location of the user, upon selection of the 10 minutes delivery option as shown in steps (314, 315).
[0067] Figure 4: A flowchart displaying a method (400) for processing by one or more processing units upon a command given by the user for purchasing medicines in person from a network pharmacist's shop by the integrated medical and health assistance and management system (100). The method (400) for processing by the plurality of data processing units (102) upon the command being given by the user for purchasing the medicines in person from a shop of the network pharmacists comprising the following steps. Firstly, scanning (408) the card using QR scanning by the user into a portable device, or by inserting an identification number into the portable device or virtually scanning the QR code from a mobile application into the portable device. Secondly, fetching (401) and verifying all details of the medicines based on the medical prescription issued by the medical practitioner, by the one or more data verification unit using the AI model. Thirdly, rejecting (405) dispensing of the medicines upon expiry of the medical prescription by using the AI model. Fourthly, dispensing (406) the medicines to the user by said network pharmacists when the medical prescriptions are valid. Finally, generating (407) the e-bill and sealing in a tamper-proof bag with a QR scan code to check and confirm correct medicines are dispensed as per the medical prescription.
[0068] Figure 5: A flowchart displaying a method (500) for data updating in the system after a hospital visit by a patient by the integrated medical and health assistance and management system (100). The method (500) for updating data in the integrated medical and health assistance and management system (100) after a hospital visit by the patient comprising the following steps. Firstly, verification (507) of identity of the patient. In one embodiment, the patient identity is checked after QR scanning of the card or the virtual card or by enabling face or fingerprint scanning of the patient on the portable scanning device. Secondly, auto-logging (511) the patient details in the one or more data storage units (103) of the system (100) through a real time QR scan, and the patient details being list of treatments, medications, and all test reports. Thirdly, determining (512) of anomalies in the patient details after checking with the medical prescription prescribed by the medical practitioners using the AI model and alerting the medical practitioners regarding the anomaly by the one or more alerting units. Finally, updating (513, 514, 515) the discharge records in the one or more data storage units (103) of the system and making QR code scanning on the digital wrist band into “inactive” state upon discharge from the hospital premises. In one embodiment, after the discharge, the system (100) initiates a seamless reverse-synchronization protocol wherein all clinical interactions, diagnostics, interventions, and procedural metadata previously captured and encrypted within the patient’s dynamic wristband QR identifier are autonomously reintegrated into the patient’s master health profile embedded in the physical and virtual Smart Card.Figure 6: A flowchart displaying a method (600) for processing by the integrated medical and health assistance and management system (100) when the command is given by the medical practitioner. The method (700) for processing by one or more data processing units (102) when the command is given by the medical practitioner comprising the following steps. Firstly, requesting (601, 602, 603, 604) access of patient medical records by one or more data security units of the one or more processing units, including secure accessibility of patient medical records through OTP verification. Secondly, assessing (605) the medical records and profile of the patient by the medical practitioner after going through the accessed previous medical history and medical records. Thirdly, analysis (606, 607) of symptoms of the patient, by activation of the AI model. Fourthly, suggesting (608) a possible diagnosis and care protocol based on the analysis of symptoms by the AI logic. Fifthly, receiving (609), by the one or more data processing units (102), an acceptance or rejection of possible diagnosis from the medical practitioner. Sixthly, saving (610) the output from said medical practitioner in the one or more data storage units (103). Seventhly, enabling (611) editing and amendments to a medical prescription of the user by the medical practitioner. Eighthly, saving (612) the updates made on the medical prescription by the medical practitioner on the one or more data storage units (103). Finally, updating (613) the medical prescription on the data retrieval unit, wherein the data retrieval unit being a QR code provided on a card or mobile application or a digital wrist belt.
[0069] Figure-7: A flowchart displaying a method (700) for processing by the integrated medical and health assistance and management system (100) to provide alternative medicine prompts based on residential location of the patient. A method (700) for processing by the integrated medical and health assistance and management system (100) to provide alternative medicine prompts based on residential location of the patient comprising the following steps. Firstly, monitoring (701) the plurality of inputs (101) by the AI model. Secondly, reading (702) patient location and the medical prescription details by the AI model. Thirdly, fetching (703) the stock and inventory details from a nearby pharmacy of the network pharmacies by the AI model. Fourthly, checking (704) the estimated delivery time through the GPS module by the AI model. Fifthly, checking (705) medicine availability for dispatch by the AI model. Sixthly, suggesting (706) effective substitutes and interaction risk of the prescribed medicines by the AI model, when the medicine is not available. Seventhly, suggesting (708) possible substitutes, delivery time, availability radius, and interaction risks of the substitutes by the AI model. Eighthly, accepting (707) the substitute medicines by the medical practitioner. Ninthly, instructing (709) the patients to buy the prescribed medicines manually by the medical practitioner. Tenthly, prompting (710) the medical practitioner to proceed with original prescription when the medicine is available as determined by the AI model. Finally, syncing (711) the final medical prescription to the card and the mobile application through the one or more data storage units (103) by the AI model. In another embodiment, in step (712) the medical practitioner requests access from the AI model to edit the medical prescription. Thereafter, in step (713), the AI model grants access to the medical practitioner to edit the prescription after verifying the credentials of the medical practitioner. Then in step (714), the medical practitioner begins to edit the medical prescription and finally type in the name of the medicines in step (715), while the entire process is continuously monitored on real time by the AI model.
[0070] This real-time, AI-augmented substitution intelligence framework forms the backbone of a next-generation auto-verification engine for prescriptions. By dynamically cross-referencing the physician's input with (i) localized, real-time pharmaceutical inventory across a geo-fenced network of empaneled pharmacies; (ii) the patient’s biometric-linked QR ID containing residential coordinates, allergies, and contraindications; and (iii) a clinical-grade substitution ontology powered by medical knowledge graphs, the system generates a contextually and pharmacologically valid prescription at the moment of entry. The prescription is thus not only validated for therapeutic accuracy but also confirmed for logistical executability within the patient's fulfillment radius. Once the final formulation original or substituted is selected and digitally signed by the licensed medical practitioner within the system’s encrypted interface, the backend flags it as auto-verified, meaning it requires no further pharmacist oversight or manual validation. This transforms the prescription from a static medical document into a dynamic, fulfillment-ready directive, instantly actionable across the integrated system including pharmacies, and delivery partners thereby eliminating all conventional bottlenecks in prescription authentication, translatability, and execution.
[0071] Figure 8: A flowchart displaying a method (800) for processing by the integrated medical and health assistance and management system (100) to provide medicine refill alert for chronic diseases. A method (800) for processing by the integrated medical and health assistance and management system (100) to provide medicine refill alert for chronic diseases comprising following the steps. Firstly, checking (801) status of the medical prescription being active and expected refilling timeline window by the AI model. Secondly, forecasting (802) refill demand of each patient for each patient for each prescribed drug. Thirdly, informing (803) of a nearby pharmacy of the network pharmacy by the AI model. Fourthly, flagging (804) regional shortage of the medicines based on patient cluster analysis by the AI model. Fifthly, checking (805) feasibility of delivery time within 5-10 minutes or same day delivery by the AI model. Sixthly, checking and routing (806) backup of drugs prescribed for chronic diseases. Seventhly, notifying (807) the nearby pharmacy of the network pharmacy to prepare for refilling order of the prescribed medicines. Eighthly, receiving (808) refilling request by the network pharmacies by the AI model. Ninthly, preparing (809) fulfillment of dispatch of the refilling order. Tenthly, mapping (810) real time medicine inventory of the network pharmacies based on predictive analysis by the AI model. Finally, receiving (811) medicine shortage alert and forecasts on display device of application of the network pharmacies.
[0072] Figure-9: A flowchart displaying an AI model operation for enabling reminder alerts for refilling the prescribed medicines. A method (900) provides an AI model operation for enabling reminder alerts for refilling the prescribed medicines comprising the steps of. Firstly, parsing (901) the medical prescription for timing, expiry and dosage of the prescribed medicines by the AI model. Secondly, verifying (902) a digital signature and a lock reminder binding by the AI model. Thirdly, adapting and learning (903) user behavior and inputs by the AI model, wherein the inputs are delay in ordering medicines, number of skips in taking the medicines, number of lack of responses from the user for follow ups or reordering prescribed medicines. Fourthly, checking (904) the pharmacy stocks of the network pharmacies for enabling delivery of prescribed medicines by the AI model. Fifthly, generating (905) multi-timing AI tailored reminders. Sixthly, predicting (906) a 3-4 days refill reminder for prescribed medicines to treat chronic diseases to enable stock update in the network pharmacies by the AI model and providing (910) an early refill alert by the AI model. Seventhly, checking (907) for expired or tampered medicines by the AI model. Eighthly, hashing (908) all reminder events together in a temper proof ledger by the AI model. Ninthly, triggering (909) an alert reminder when there is no stock of the prescribed medicines or more than 2 skips of the prescribed medicines not ordered by the patient. Tenthly, determining (911, 912, 913) input timing preference, sleep schedules, stock alert details, smart reminders regarding medicine dosage, timing and intake instructions by the AI model. Thereafter, alerting (914) the medical practitioner on instances of missed medicine intake or stock unavailability of the medicine by the AI model. Finally, scanning (915, 916) and auto verification of the refill order details by scanning the card or by entering the ID card number by the patient.
[0073] In one embodiment, the integrated medical and health assistance and management system (100) boosts a 90-93% accuracy in accessing medical records of patients and on time delivery of medicines, and thereby deciphers complex health data with unparalleled precision, setting a new standard in predictive healthcare systems.
[0074] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions, or examples, which are comprised to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE INVENTION
1. The invention provides a one stop integrated platform for all health records, reminders, and medicine delivery for quick usage.
2. The invention provides an AI enabled health management with rigorous scanning and self-learning ability to provide accurate results.
3. The invention provides quick medicine delivery within 5-10 minutes or same day delivery using a GPS module and the AI model.
4. The invention also provides ease of access of medical records of the users through QR scanning from virtual or physical card.
5. The invention also provides correct and accurate supply of prescribed medicines based on cross verification with the medical prescription provided by the medical practitioners, thereby preventing sale of drugs where the medical prescription has expired.
6. The invention also provides ease of checking and verification of patient details through QR scanning on digital wrist belt when patient gets admitted to the hospital.
7. The invention also provides an unified system where biometric authentication including facial and fingerprint recognition, grants secure and instant access to a user’s comprehensive medical profile via OTP verification on their registered mobile number.
8. The invention also provides an intelligent, AI-powered health assistant capable of interpreting diagnostic reports and generating user-friendly summaries with medical warnings, thereby enhancing patient literacy and engagement.
9. The invention also incorporates a digital health companion capable of autonomously scheduling follow-up appointments based on doctor-prescribed intervals and patient availability.
10. The invention also provides multilingual AI-based diet and fitness recommendations tailored to the patient’s medical conditions, allergies, and prescriptions to prevent contraindicated routines.
11. The invention also provides an AI-driven medicinal intelligence module capable of identifying and suggesting safe substitute medications based on active ingredients when stockouts occur.
12. The invention also implements an AI-driven biosensor sentinel that performs continuous, cross-referential analysis between real-time biometric inputs and the patient’s longitudinal medical profile, thereby detecting deviations from personalized baselines rather than generic thresholds, and issuing instant alerts upon detecting aberrant fluctuations indicative of potential preclinical deterioration or emergent health risks.
13. The invention also creates a scalable, modular infrastructure that synchronizes data between patients, doctors, pharmacists, hospitals across public and private systems.
14. The invention also incorporates a hands-free, voice-interactive interface for differently abled and elderly users, enhancing accessibility in multi-lingual and low-literacy populations.
15. The invention also provides offer real-time analytics to health authorities for community health trends and outbreak prediction using anonymized, aggregated wearable and app data.
16. The invention also provides secure, AI-assisted translation of lab results, prescriptions, and treatment plans into plain language summaries tailored for specific patient age and education levels.
17. The invention also provides multilingual user interfaces and culturally tailored health education resources within the platform, enhancing usability and adoption across India’s diverse linguistic and cultural landscape.
18. The invention also provides seamless integration with national healthcare initiatives (such as the Ayushman Bharat Digital Mission) enabling inclusive healthcare access and leveraging government data for beneficiary verification.
19. The invention also empowers community health workers and primary-care clinics with mobile access to patient records, scheduled visit alerts, and AI-driven decision support, thereby extending the reach of healthcare services into remote and underserved communities.
20. The invention also provides aggregated and anonymized health data analytics to public health authorities via dashboards and alerts, aiding in the early detection of disease outbreaks (such as malaria, dengue, or COVID-19) and supporting data-driven public health resource allocation.
21. The invention also provides telemedicine and remote consultation capabilities into the platform, allowing patients to securely connect with licensed physicians and specialists via video or chat, authenticated through their digital health ID and medical history
22. The invention also provides long-term management of chronic conditions (such as diabetes, hypertension, or cardiovascular disease) by combining AI-driven health coaching, continuous vital monitoring via wearables, and medication adherence tracking to improve health outcomes and reduce healthcare costs.
23. The invention also automate and streamline hospital workflows—such as patient admission, transfer, and discharge—through biometric wristband verification and mobile app integration, thereby reducing paperwork, minimizing errors, and improving overall patient safety.
24. The invention also provides an intelligent pharmaceutical supply-chain management interface linking digital prescriptions to pharmacy inventories and distributors, enabling real-time tracking of medicine availability and automated reordering to prevent stockouts.
25. The invention also provides automated medication reminders, dosage tracking, and adherence reporting via the mobile app and wearable devices, thus improving patient compliance with prescribed treatments and enabling healthcare providers to intervene proactively when doses are missed.
26. The invention also provides aggregation of data from digital health records, wearable sensors, and diagnostic reports to generate personalized health insights and risk assessments, guiding patients and providers toward tailored preventive and therapeutic interventions.
27. The invention also provides an emergency medical response by enabling the wearables and digital health ID platform to detect critical events (such as falls, irregular heart activity, or hypoglycemia) and automatically notify nearby emergency services, hospitals, and designated caregivers with the patient’s identity and location.
28. The invention also provides interoperability among hospitals, clinics, diagnostic centers, and laboratories by standardizing data formats and enabling secure electronic exchange of medical reports and images through the AI platform.
29. The invention also provides AI-driven forecasting to predict patient appointment demand and allocate healthcare resources (such as medical staff and equipment) efficiently, thus optimizing hospital operations and reducing patient wait time)).

Reference Numerals:
100 integrated medical and health assistance and management system
101 plurality of input units
102 plurality of data processing units
103 plurality of data storage units
104 data retrieval unit
105 plurality of output units
, Claims:CLAIMS
I/ We Claim:
1. An integrated medical and health assistance and management system (100) comprising:
a plurality of input units (101);
a plurality of data processing units (102);
a plurality of data storage units (103);
a data retrieval unit (104); and
a plurality of output units (105);
wherein said plurality of input units (101) comprising one of a biometric input and a non-biometric input;
wherein said plurality of data processing units (102) comprising one or more data security units, one or more data verification units, one or more data tracking and compliance units, one or more alert units, and one or more language translation units;
wherein said plurality of output units (105) comprising one or more data display units, one or more data updating units, and one or more direction delivery units;
wherein said integrated medical and health assistance and management system (100) being configured to analyze and ensure delivery of medicines to users based on timelines prescribed in a medical practitioner’s prescription;
wherein said integrated medical and health assistance and management system (100) being configured to perform overall health diagnosis and assessments based on analysis of past medical records of each of said users.
2. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said biometric input being one of a fingerprint scan and a face scan, wherein said biometric input being provided by a portable scanning machine.
3. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said non-biometric input being an identification card number of said user, said non-biometric input being provided manually by said users.
4. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said plurality of data storage units (103) being one of a device memory, a cloud server memory, or one or more remotely accessible server memories.
5. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said data retrieval unit (104) includes a card or a mobile application, said card being a virtual card hosted on said mobile application or a physical card, and wherein said data retrieval being configured to occur upon scanning a QR code provided on said card, wherein said data retrieval unit (104) being a digital wrist band comprising said QR code in another embodiment.
6. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said one or more data security units including secure accessibility of patient medical records through OTP verification, and said one or more data security units being one or more blockchain platforms.
7. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said one or more data verification units being configured to securely verify said input data with predefined data, said predefined data being saved and provided in said plurality of data storage units (103), and wherein said one or more data verification units enabling verification of said user input data, and ensuring verification of medical prescription verification at one or more network pharmacies of said integrated medical and health assistance and management system (100).
8. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said one or more data tracking and compliance units being configured to track a plurality of medicine dosage and prescription updates made by said medical practitioners, and wherein said one or more data tracking and compliance units being configured to store said updated data in said plurality of data storage units (103).
9. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said one or more alert units being configured to send timely reminders to take prescribed medical dosage of said medicines by said medical practitioners at prescribed intervals of the day.
10. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said one or more language translation units configured to translate said input data and said medical records of said users into a plurality of languages for ease of accessibility and understanding of said medical records, and wherein said one or more language translation units being an AI model.
11. The integrated medical and health assistance and management system (100) as claimed in claim 10, wherein said AI model being configured to operate as a chatbot or a calling agent, and wherein said AI model being configured to sync said medical records, hospitalization logs, medical practitioner appointments, and test results, and other health data into a smartwatch or other smart devices.
12. The integrated medical and health assistance and management system (100) as claimed in claim 10, wherein said AI model being configured to perform instant blood diagnostic, real time vitals determination of said user, detect anomaly patterns, sending critical health alert, display health trends and profile of said user on said smartwatch or said other smart devices, and syncing said user data to said data storage unit (103) of said system.
13. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said one or more data display units comprising a display provided on a device screen of said medical practitioner, said users, and said network pharmacy partners, and wherein said device screens being a screen provided on a computer device.
14. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said one or more direction delivery units comprising one or more GPS units to locate medicine availability in proximity of said users among said plurality of network pharmacies.
15. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said delivery of medicines occurs within 5-10 minutes based on simultaneous medicine availability and GPS tracking of said users and said network pharmacies.
16. The integrated medical and health assistance and management system (100) as claimed in claim 1, wherein said user being configured to access said prescribed medicines at said network pharmacies upon scanning of said QR code provided on said card or said virtual card provided on said mobile application.
17. A method (200) for performing integrated medical and health assistance by an integrated medical and health assistance and management system (100) comprising the steps of:
receiving (201) one or more inputs from a plurality of input units, wherein said plurality of inputs being a biometric input or a non-biometric input;
processing (202) said one or more inputs by a plurality of data processing units based on a command given by one of a user, a medical practitioner, and a network pharmacist;
storing (203) said one or more inputs in a plurality of data storage units;
retrieving (204) information sought by said one of said user, said medical practitioner, and said network pharmacist, by a data retrieval unit;
displaying (205) one or more output on a computer device by a plurality of output units;
wherein said integrated medical and health assistance and management system (100) being configured to analyze and ensure delivery of medicines to users based on timeline prescribed in a medical practitioner’s prescription;
wherein said integrated medical and health assistance and management system (100) being configured to perform overall health diagnosis and assessments based on analysis of past medical records of each of said users.
18. The method (200) as claimed in claim 17, wherein said biometric input being a face scan or a finger scan using a portable device, wherein said non-biometric input being a QR scanning through a card or a digital wrist belt, or entering an identification number.
19. The method (200) as claimed in claim 17, wherein said method for performing integrated medical and health assistance with a medicine refill alert mechanism, said method (300) comprising the steps of:
accessing (301) active patient prescriptions by said one or more security units;
forecasting (302) a refill demand by said plurality of data processing units (102);
checking (303) said network pharmacy inventory both within short and long distance range by said plurality of data processing units (102) and a GPS module;
checking (308) delivery time feasibility within 10 minutes to same day delivery by said plurality of data processing units (102) and said GPS module;
notifying (309) said network pharmacy to prepare for said refill order by said alerting unit;
receiving (310) said refill order request and an e-bill by a processing unit of said network pharmacy by said plurality of data processing units (102), wherein said e-bill being stored and scanned by said QR scanning of said card;
checking (311) for back up stores within said network pharmacies, when said refill order is not fulfilled, by said plurality of data processing units (102);
sending (312) medicine shortage forecasts to said user, when said medicine is not found in said network pharmacies, by said plurality of data processing units (102).
20. The method (200) as claimed in claim 17, wherein said processing by said plurality of data processing units (102) upon said command being given by said user for purchasing said medicines in person from a shop of said network pharmacists, said method (400) comprising the steps of:
scanning (408) said card using said QR scanning by said user into a portable device, or by inserting an identification number into said portable device, or virtually scanning said QR code from a mobile application into said portable device;
fetching (401) and verifying all details of said medicines based on said medical prescription issued by said medical practitioner, by said one or more data verification unit;
rejecting (405) said dispensing of said medicines upon expiry of said medical prescription;
dispensing (406) said medicines to said user by said network pharmacists when said medical prescriptions are valid;
generating (407) said e-bill and sealing in a tamper-proof bag with a QR scan code to check and confirm correct medicines being dispensed as per said medical prescription.
21. The method (200) as claimed in claim 17, wherein said data updating in said integrated medical and health assistance and management system (100) after a hospital visit by said patient, said method (500) comprising the steps of:
Verification (507) of identity of said patient;
auto-logging (511) said patient details in said memory unit of said system through a real time QR scan, wherein said patient details being list of treatments, medications, and all test reports;
determining (512) of anomalies in said patient details and alerting said medical practitioners regarding said anomaly by said one or more alerting units;
updating (513, 514, 515) discharge records in said one or more data storage units (103) of said system (100) and making said QR code scanning on said digital wrist band into “inactive” state upon discharge from said hospital premises.
22. The method (200) as claimed in claim 17, wherein said processing by said one or more data processing units (102) upon said command being given by said medical practitioner, said method (600) comprising the steps of:
requesting (601, 602, 603, 604) access of patient medical records by one or more data security units of said one or more processing units, including secure accessibility of patient medical records through OTP verification;
assessing (605) said medical records and profile of said patient by said medical practitioner;
analysis (606, 607) of symptoms of said patient, by activation of said AI model;
suggesting (608) a possible diagnosis and care protocol based on said analysis of symptoms by said AI model;
receiving (609) acceptance or rejection of possible diagnosis from said medical practitioner;
saving (610) said output from said medical practitioner in said one or more data storage units (103);
enabling (611) editing and amendments to a medical prescription of said user by said medical practitioner;
saving (612) said updates of said medical prescription on said one or more data storage units (103);
updating (613) said medical prescription on said data retrieval unit, wherein said data retrieval unit being a QR code provided on a card or a digital wrist belt.
23. The method (200) as claimed in claim 22, wherein a method (700) for processing by said integrated medical and health assistance and management system (100) to provide alternative medicine prompts based on residential location of the patient comprising the steps of:
monitoring (701) said plurality of inputs (101) by said AI model,
reading (702) patient location and said medical prescription details by said AI model;
fetching (703) said stock and inventory details from a nearby pharmacy of said network pharmacies by said AI model;
checking (704) said estimated delivery time through said GPS module by said AI model;
checking (705) medicine availability for dispatch by said AI model;
suggesting (706) effective substitutes and interaction risk of said prescribed medicines by said AI model, when said medicine is not available;
suggesting (708) possible substitutes, delivery time, availability radius, and interaction risks of said substitutes by said AI model;
accepting (707) said substitute medicines by said medical practitioner;
instructing (709) said patients to buy said prescribed medicines manually by said medical practitioner;
prompting (710) said medical practitioner to proceed with original prescription when said medicine is available as determined by said AI model;
syncing (711) said final medical prescription to said card and said mobile application through said one or more data storage units (103) by said AI model.

24. The method as claimed in claim 17, wherein said method (800) for processing by said integrated medical and health assistance and management system (100) to provide medicine refill alert for chronic diseases comprising the steps:
checking (801) status of said medical prescription being active and expected refilling timeline window by said AI model;
forecasting (802) refill demand of each patient for each patient for each prescribed drugs;
informing (803) a nearby pharmacy of said network pharmacy by said AI model;
flagging (804) regional shortage of said medicines based on patient cluster analysis by said AI model;
checking (805) feasibility of delivery time within 5-10 minutes or same day delivery by said AI model;
check and route (806) backup of drugs prescribed for chronic diseases;
notifying (807) said nearby pharmacy of said network pharmacy to prepare for refilling order of said prescribed medicines;
receiving (808) refilling request by said network pharmacies by AI model;
preparing (809) fulfillment of dispatch of said refilling order;
mapping (810) real time medicine inventory of said network pharmacies based on predictive analysis by said AI model;
receiving (811) medicine shortage alert and forecasts on display device of application of said network pharmacies.
25. The method as claimed in claim 17, wherein a method (900) provides an AI model operation for enabling reminder alerts for refilling the prescribed medicines comprising the steps of:
parsing (901) said medical prescription for timing, expiry and dosage of said prescribed medicines by said AI model;
verifying (902) a digital signature and a lock reminder binding by said AI model;
adapting and learning (903) user behavior and inputs by said AI model, wherein said inputs being delay in ordering medicines, number of skips in taking said medicines, number of lack of responses from said user for follow ups or reordering prescribed medicines;
checking (904) pharmacy stocks of said network pharmacies for enabling delivery of prescribed medicines by said AI model;
generating (905) multi-timing AI tailored reminders;
predicting (906) a 3-4 days refill reminder for prescribed medicines to treat chronic diseases to enable stock update in said network pharmacies by said AI model and providing (910) an early refill alert by said AI model;
checking (907) for expired or tampered medicines by said AI model;
hashing (908) all reminder events together in a temper proof ledger by said AI model;
triggering (909) an alert reminder when there is no stock of said prescribed medicines or more than 2 skips of said prescribed medicines not ordered by said patient;
determining (911, 912, 913) input timing preference, sleep schedules, stock alert details, smart reminders regarding medicine dosage, timing and intake instructions by said AI model;
alerting (914) said medical practitioner on instances of missed medicine intake or stock unavailability of said medicine by said AI model;
scanning (915, 916) and auto verification of said refill order details by scanning said card or by entering said ID card number.

Dated: 06th August 2025