UNIFIED HEALTHCARE AND COMPLIANCE PLATFORM FOR SECURE PATIENT IDENTIFICATION, DATA ACCESS, AND GOVERNMENT OVERSIGHT

Abstract

Disclosed is a unified healthcare and compliance platform comprising a unique identification generation unit to assign distinct patient identifications within a healthcare system. A centralized data storage unit facilitates secure, real-time access to patient records across healthcare providers through a cloud-based infrastructure. A blockchain-based security element maintains data integrity and supports a tamper-proof audit trail. A government oversight interface allows authorized entities to access healthcare provider financial and compliance records to ensure adherence to regulations. An artificial intelligence processing element performs predictive analytics on healthcare data, delivering insights for policy and public health strategy. An investigative access element provides secure, role-based access for law enforcement investigations, while an encryption system ensures data security and compliance with HIPAA and GDPR standards through robust, role-based access controls.

Specification

Description:UNIFIED HEALTHCARE AND COMPLIANCE PLATFORM FOR SECURE PATIENT IDENTIFICATION, DATA ACCESS, AND GOVERNMENT OVERSIGHT
Field of the Invention
[0001] The present disclosure generally relates to healthcare management systems. Further, the present disclosure particularly relates to a unified platform for patient identification, data access, and regulatory compliance.
Background
[0002] The background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] Healthcare systems worldwide encounter several complex challenges in maintaining patient data security, accessibility, and regulatory compliance. Conventional healthcare systems typically lack unified platforms for consolidating patient medical records across multiple providers, resulting in fragmented and siloed data storage. Such fragmentation limits seamless data access for patients and healthcare providers, impeding efficient medical decision-making and increasing redundancy in medical procedures. In many instances, healthcare providers must rely on a disparate set of record-keeping systems, often leading to inconsistencies in patient medical histories, duplications, or incomplete records. Consequently, the lack of a comprehensive healthcare record system restricts continuity of care and elevates the risk of errors in diagnosis and treatment.
[0004] Further, conventional healthcare systems face challenges in establishing a unique identification method for patients. Due to the absence of standardised unique patient identifiers, patient records are prone to duplication and loss. Patient identification inconsistencies across healthcare networks hinder accurate record tracking and access to complete medical histories, often resulting in administrative delays and errors. Such errors directly impact patient safety and may result in unnecessary tests, missed diagnoses, and prolonged treatments. Moreover, the lack of a unique identification system complicates coordination across healthcare facilities, as varying healthcare records associated with the same patient remain unlinked.
[0005] Conventional systems also lack effective mechanisms for real-time government oversight. Healthcare providers currently maintain their financial records and regulatory documentation in standalone systems, thereby limiting government agencies' visibility into healthcare transactions and compliance adherence. The lack of an integrated oversight mechanism prevents efficient monitoring of healthcare providers, leading to increased instances of non-compliance, tax fraud, and regulatory discrepancies. Further, healthcare provider records, without real-time access, inhibit timely governmental intervention, thereby posing challenges to maintaining transparent healthcare operations. In the absence of such oversight, the possibility of fraud and financial discrepancies within healthcare providers increases, impacting public trust in the healthcare system.
[0006] Furthermore, healthcare regulatory bodies and law enforcement agencies face limitations in accessing accurate, tamper-resistant patient data to investigate medical fraud, tax evasion, and malpractice cases. Existing systems often fail to secure medical records from tampering or unauthorized alterations, compromising data reliability and hindering the investigative process. Law enforcement and regulatory entities require prompt, role-based access to patient data that preserves data integrity. However, in current systems, such investigations are often delayed due to bureaucratic and technical hurdles, which further complicates enforcement actions and weakens accountability across healthcare networks.
[0007] Additionally, data security and privacy continue to be critical concerns for healthcare systems worldwide. Sensitive patient information requires high levels of security to prevent unauthorized access and data breaches. Conventional systems, however, frequently struggle to safeguard data adequately due to limited encryption protocols and lack of role-based access control. Breaches of sensitive medical data not only lead to privacy concerns but also render healthcare providers non-compliant with regulatory standards, including the Health Insurance Portability and Accountability Act (HIPAA) and the General Data Protection Regulation (GDPR). The absence of a unified platform that incorporates robust security measures, encryption techniques, and regulatory adherence exacerbates vulnerabilities in patient data security and compromises patient confidentiality.
[0008] Finally, the healthcare sector currently lacks an effective mechanism for predictive analysis of patient data to inform policy development and resource allocation. Without a unified data platform, healthcare administrators face challenges in gathering accurate, comprehensive healthcare data, which hinders efforts to derive actionable insights through data analytics. Traditional healthcare systems do not incorporate predictive analytic tools that could aid in identifying public health trends, optimizing healthcare resources, or formulating targeted healthcare policies. This deficiency in data analytics restricts government agencies and public health institutions from proactively addressing healthcare challenges and impedes data-driven policy-making.
[0009] In light of the above discussion, there exists an urgent need for solutions that overcome the problems associated with conventional systems for maintaining secure, accessible, and compliant healthcare data.
Summary
[00010] The following presents a simplified summary of various aspects of this disclosure in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements nor delineate the scope of such aspects. Its purpose is to present some concepts of this disclosure in a simplified form as a prelude to the more detailed description that is presented later.
[00011] The following paragraphs provide additional support for the claims of the subject application.
[00012] An objective of the present disclosure is to provide a unified healthcare platform to address fragmented patient data, ensure secure data storage, support government oversight, and improve investigative access within healthcare systems. The platform of the present disclosure aims to streamline patient identification, enable real-time access to medical records, secure healthcare data through blockchain technology, and ensure regulatory adherence through government monitoring and law enforcement support.
[00013] In an aspect, the present disclosure provides a healthcare and compliance platform comprising a unique identification generation unit to assign distinct patient identifiers across healthcare networks. A centralized data storage unit provides real-time access to patient records through a secure cloud infrastructure, while a blockchain security feature ensures data integrity and a tamper-proof audit trail. Further, a government oversight interface allows real-time access to healthcare provider records, and an artificial intelligence processing unit offers predictive analytics for policy and public health strategy development. Additionally, an investigative access unit provides role-based access for authorized law enforcement, and an integrated encryption system ensures data security and compliance with HIPAA and GDPR standards.
[00014] Advantages include enhanced security of patient records through multi-layered encryption, integration with pre-existing electronic health records, and proactive notification features for unauthorized access attempts.
Brief Description of the Drawings
[00015] The features and advantages of the present disclosure would be more clearly understood from the following description taken in conjunction with the accompanying drawings in which:
[00016] FIG. 1 illustrates a unified healthcare and compliance platform, in accordance with the embodiments of the present disclosure.
[00017] FIG. 2 illustrates a sequential diagram of the healthcare platform, in accordance with the embodiments of the present disclosure.
Detailed Description
[00018] In the following detailed description of the invention, reference is made to the accompanying drawings that form a part hereof, and in which is shown, by way of illustration, specific embodiments in which the invention may be practiced. In the drawings, like numerals describe substantially similar components throughout the several views. These embodiments are described in sufficient detail to claim those skilled in the art to practice the invention. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present invention. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope of the present invention is defined only by the appended claims and equivalents thereof.
[00019] The use of the terms "a" and "an" and "the" and "at least one" and similar referents in the context of describing the invention (especially in the context of the following claims) are to be construed to cover both the singular and the plural, unless otherwise indicated herein or clearly contradicted by context. The use of the term "at least one" followed by a list of one or more items (for example, "at least one of A and B") is to be construed to mean one item selected from the listed items (A or B) or any combination of two or more of the listed items (A and B), unless otherwise indicated herein or clearly contradicted by context. The terms "comprising," "having," "including," and "containing" are to be construed as open-ended terms (i.e., meaning "including, but not limited to,") unless otherwise noted. Recitation of ranges of values herein are merely intended to serve as a shorthand method of referring individually to each separate value falling within the range, unless otherwise indicated herein, and each separate value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The use of any and all examples, or exemplary language (e.g., "such as") provided herein, is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention unless otherwise claimed. No language in the specification should be construed as indicating any non-claimed element as essential to the practice of the invention.
[00020] Pursuant to the "Detailed Description" section herein, whenever an element is explicitly associated with a specific numeral for the first time, such association shall be deemed consistent and applicable throughout the entirety of the "Detailed Description" section, unless otherwise expressly stated or contradicted by the context.
[00021] As used herein, the term "unique identification generation unit" is used to refer to a component within a healthcare system that provides distinct identification for each patient. Such identification enables consistent tracking and retrieval of medical records across various healthcare providers. The unique identification generation unit may include mechanisms that ensure the assignment of a one-time identification code upon patient registration, which is securely linked to the patient's medical history and personal information. The term "unique identification generation unit" encompasses systems that support centralized recordkeeping and allow healthcare providers to maintain and retrieve patient information accurately without duplications or errors. Additionally, the unit may include encryption features or validation steps to safeguard patient information and prevent unauthorized access, thus promoting data integrity. Furthermore, such a unit facilitates interoperability between different healthcare platforms, supporting seamless transitions of patient data across providers in diverse healthcare environments.
[00022] As used herein, the term "centralized patient data storage unit" refers to a component within a healthcare system that enables the storage, security, and real-time accessibility of patient medical records. Said storage unit is typically integrated with a cloud-based infrastructure, allowing authorized healthcare providers to access patient information as needed across multiple medical institutions. The term "centralized patient data storage unit" includes cloud-enabled storage frameworks that facilitate data consolidation, thus reducing redundancy and improving the accuracy of patient medical records. This unit may be further configured to incorporate mechanisms for secure data retrieval, maintaining compliance with relevant data protection regulations. The centralized data storage unit may support various healthcare data formats and allow seamless integration with electronic health record (EHR) systems. Such a storage unit enables medical professionals to access patient information comprehensively and facilitates data sharing across healthcare facilities to support effective patient care.
[00023] As used herein, the term "blockchain-based security" is used to refer to a component within a healthcare system that preserves data integrity and creates a tamper-proof audit trail for patient medical records. Such a security feature employs blockchain technology to secure each transaction related to patient data, creating a transparent, verifiable log of access points and modifications to healthcare records. The blockchain-based security feature may involve cryptographic hashing, a process that links blocks of data securely, preventing unauthorized alterations. Additionally, blockchain-based security may support decentralised data storage across multiple nodes, reducing the likelihood of data tampering and unauthorized access. The term "blockchain-based security" further includes capabilities to provide healthcare providers and government agencies with reliable records that are immutable, enhancing accountability in healthcare management. Said security feature may support real-time authentication processes, enabling secure and compliant data access while maintaining transparency for audit purposes.
[00024] As used herein, the term "government oversight interface" refers to a component within a healthcare system that enables authorized government entities to access healthcare provider financial and compliance records. Such an interface allows real-time data sharing with relevant government agencies, supporting regulatory adherence and the monitoring of healthcare transactions. The government oversight interface may include specialized data-sharing protocols that facilitate streamlined access while maintaining data confidentiality. Additionally, the interface may integrate tracking capabilities for tax compliance, financial reporting, and verification of healthcare provider activities. The term "government oversight interface" further encompasses data filtration and reporting tools that help detect discrepancies or suspicious activities in financial transactions. This interface may also support data export features, enabling government agencies to generate reports for regulatory analysis, tax assessments, or fraud investigations, thus strengthening accountability across healthcare institutions.
[00025] As used herein, the term "artificial intelligence processing unit" refers to a component within a healthcare system that performs predictive data analytics on healthcare records, generating insights for policy and public health strategy. The artificial intelligence processing unit includes machine learning techniques that analyse patterns within patient demographic data, treatment outcomes, and healthcare utilisation. Such a unit may provide predictive capabilities to support resource allocation, improve patient care strategies, and identify emerging health trends within a population. The artificial intelligence processing unit may further incorporate data modelling tools to assist policymakers and healthcare administrators in assessing public health needs. Additionally, this processing unit may work with vast datasets, identifying correlations that inform evidence-based decision-making. The term "artificial intelligence processing unit" further includes capabilities for adjusting predictive models based on incoming healthcare data, which supports the dynamic planning of healthcare resources.
[00026] As used herein, the term "investigative access unit" refers to a component within a healthcare system that provides secure, role-based access to patient records for law enforcement investigations. Said unit is configured with access protocols that restrict patient data to authorized investigative personnel, maintaining compliance with legal standards. The investigative access unit may include audit logging features, which record all access attempts to patient records, thus supporting accountability in data handling. Additionally, the investigative access unit may contain alert systems that notify healthcare institutions or regulatory bodies of unauthorized access attempts or security breaches. The term "investigative access unit" further encompasses access management controls that allow customization of data permissions based on the nature and scope of the investigation. Such a unit helps law enforcement officials access patient data reliably and securely, facilitating timely and compliant investigations into fraud, malpractice, or other legal concerns.
[00027] As used herein, the term "encryption system" refers to a component within a healthcare platform that secures patient data and upholds privacy standards, such as HIPAA and GDPR. The encryption system employs multi-layered encryption methods, including end-to-end encryption, to ensure data confidentiality across all stages of data handling and transmission. Additionally, the encryption system may include role-based access controls, which assign access permissions based on the responsibilities of each authorized individual or entity. Said system further provides safeguards against unauthorized data access by encrypting sensitive information stored within centralized databases and during data transfers across networks. The term "encryption system" also encompasses capabilities for key management, which secures encryption keys against tampering or unauthorized access, thus ensuring continued data protection.
[00028] FIG. 1 illustrates a unified healthcare and compliance platform, in accordance with the embodiments of the present disclosure. In an embodiment, a unique identification generation unit assigns a distinct patient identification to each individual within a healthcare system, thereby enabling reliable tracking and retrieval of medical records across healthcare providers. Said identification generation unit may incorporate methods that create a unique code upon the initial registration of each patient, linking said code to the patient's medical history, demographic details, and relevant healthcare data. Said identification generation unit may also integrate encryption techniques that secure patient identification data, preventing unauthorized access. Further, this identification system allows healthcare providers to access comprehensive patient information, ensuring consistency in medical histories and reducing the risk of duplications and errors. The unique identification generation unit may also support interoperability by enabling patient data exchange across healthcare networks and systems. Additionally, said unit may utilize verification features that validate patient identities, facilitating efficient management of records and streamlining administrative processes across facilities. The identification unit may further adapt to varying healthcare network structures, accommodating regional or national healthcare systems for uniform patient identification practices.
[00029] In an embodiment, a centralized patient data storage unit is coupled with a cloud-based infrastructure that stores and secures patient medical records, allowing real-time access for multiple healthcare providers. Said centralized storage unit consolidates patient records from diverse healthcare facilities, integrating data into a single, unified source accessible to authorized medical professionals. The storage unit may incorporate security measures, such as encryption and access control, to safeguard sensitive patient information and maintain confidentiality across networks. By using a cloud-based infrastructure, the storage unit provides scalable and flexible storage capacity, ensuring that patient data remains accessible as healthcare demands fluctuate. Additionally, the storage unit may facilitate interoperability with existing electronic health record (EHR) systems, enabling seamless transitions and reducing redundancy in patient information across providers. Through real-time data access capabilities, healthcare professionals are able to retrieve accurate and up-to-date patient histories, thus supporting timely decision-making and improving the quality of care.
[00030] In an embodiment, a blockchain-based security component maintains data integrity and provides a tamper-proof audit trail for healthcare records, utilizing blockchain technology to securely track each instance of data access or modification. Said security component links each entry in a chain of data blocks, creating an immutable record that preserves data consistency and prevents unauthorized alterations. Blockchain-based security may include cryptographic hashing techniques that securely link blocks, ensuring that any attempt to alter data is detectable. Further, this security component may employ a distributed network architecture, where data is replicated across multiple nodes, thereby minimizing the risk of data loss and ensuring continuity. Additionally, said component may support verification processes, whereby each access request is authenticated in real-time, further enhancing the platform's compliance with regulatory standards. This blockchain-based system provides healthcare providers and government agencies with a reliable record of patient data, supporting transparency and enabling accountable management of healthcare information.
[00031] In an embodiment, a government oversight interface enables authorized government entities to access healthcare provider financial and compliance records in real-time, supporting regulatory adherence across healthcare networks. The interface may include secure data-sharing mechanisms that allow government bodies to retrieve financial reports, compliance documents, and other pertinent records directly from healthcare providers. This oversight interface may further incorporate tracking features to monitor tax compliance and regulatory adherence, thereby identifying discrepancies or irregularities in financial activities. Said interface may also support data export options, enabling government officials to generate customized reports for regulatory analysis, fraud prevention, or other enforcement purposes. Through secure access channels, the government oversight interface permits streamlined interaction between healthcare providers and regulatory bodies, facilitating transparent and accountable healthcare management. This interface may further incorporate data filtering tools that organize and categorize compliance information, thus simplifying the oversight process and enabling timely interventions.
[00032] In an embodiment, an artificial intelligence processing unit performs predictive analytics on healthcare data to generate insights that inform policy development and support public health strategies. The artificial intelligence processing unit may utilize data modeling techniques to analyze patterns in patient demographics, treatment histories, and healthcare utilization rates, thereby enabling healthcare administrators to make data-driven decisions. Additionally, said processing unit may support resource allocation by identifying trends and predicting potential healthcare demands, allowing for proactive management of resources. This artificial intelligence processing unit may further enable public health officials to monitor emerging health trends, assessing the effectiveness of healthcare policies and improving long-term planning strategies. The artificial intelligence processing unit may support interactive dashboards or reporting tools that visualize trends, making analytical data accessible to non-technical users. This component's capacity to dynamically analyze healthcare data enhances adaptability, enabling continuous adjustments to policies and resource distribution.
[00033] In an embodiment, an investigative access component provides secure, role-based access to patient records for authorized law enforcement investigations, allowing regulated access that supports compliance with data protection laws. The investigative access component may incorporate access protocols that restrict data availability to authorized personnel, establishing a layered security framework that protects patient privacy. Additionally, said component may feature an audit logging system that records access events, creating a comprehensive record of investigative activity on patient data. An alert system may also be included within the investigative access component, notifying healthcare institutions or regulatory bodies in cases of unauthorized access attempts. Furthermore, the investigative access component may include user authentication features to verify the identity of individuals requesting access to sensitive data, further reinforcing data security. By providing law enforcement with access while maintaining data integrity, the investigative access component supports legal compliance and strengthens accountability.
[00034] In an embodiment, an encryption system integrated within the platform provides data security and supports compliance with privacy standards, such as HIPAA and GDPR. The encryption system may employ multi-layered encryption methods, including end-to-end and point-to-point encryption, securing patient data during storage and transmission. Additionally, said encryption system may include role-based access controls, ensuring that only authorized individuals are able to view or modify patient information according to their designated roles. The encryption system may further incorporate key management protocols to safeguard encryption keys, reducing the risk of unauthorized access. Additionally, said encryption system may continuously monitor data interactions, identifying potential security vulnerabilities or breaches and implementing protective measures. By establishing a secure framework, the encryption system enables the healthcare platform to maintain high standards of data protection, ensuring patient confidentiality across all points of access and interaction.
[00035] In an embodiment, the unique identification generation unit comprises a patient ID encryption feature that enhances secure access to patient data across healthcare providers, preventing duplication of patient records. Said encryption feature applies advanced cryptographic methods to encode patient identifiers, thereby securing sensitive patient information at the moment of registration within the healthcare system. Each patient ID is generated as a distinct code, which is then encrypted, ensuring that only authorized healthcare providers can decode and access the identifier. This encrypted patient ID acts as a key to link all relevant medical records associated with an individual, creating a unified medical profile accessible within the healthcare network. Additionally, the encrypted ID feature supports interoperability by allowing encrypted IDs to be recognized and validated across diverse healthcare systems. This prevents the occurrence of duplicate records or mismatches, thereby reducing administrative errors. The encryption feature further enables role-based access control, allowing providers with appropriate credentials to access and decode specific patient information. By maintaining a consistent encrypted ID, the unique identification generation unit fosters a seamless and secure exchange of patient data, thereby strengthening data privacy and enhancing patient identity management across all points of care.
[00036] In an embodiment, the centralized patient data storage unit is configured to facilitate data interoperability, allowing integration with pre-existing electronic health record (EHR) systems from various healthcare providers. This unit connects to diverse EHR systems, enabling it to aggregate patient data from multiple providers into a single, comprehensive record, which is accessible across the healthcare network. Data interoperability within the storage unit relies on standardized data formats that allow easy communication and transfer of records, regardless of the originating EHR system's structure. Through this configuration, the centralized patient data storage unit can incorporate different types of medical information, including diagnostic results, treatment histories, and physician notes, from various sources. Additionally, the unit supports data translation processes to convert incoming information into formats compatible with existing EHR systems, thereby maintaining continuity and consistency in patient records. Such a storage unit is structured to eliminate redundant data entry, reduce administrative burdens, and enable efficient recordkeeping across facilities. By promoting a unified, interoperable data structure, the centralized patient data storage unit enhances care coordination by providing healthcare providers with accurate, real-time patient information.
[00037] In an embodiment, the blockchain-based security component comprises an automated verification system that records access logs and modifications to medical records, supporting an immutable audit history for compliance. This verification system functions by creating a secure, time-stamped log each time a healthcare provider accesses or updates a patient record. Each log entry is linked to the specific user credentials and activity details, which are stored in a chain of data blocks. Cryptographic hashing techniques secure each block, linking it to previous and subsequent blocks in a way that any alteration attempts would be immediately detectable. The automated verification system allows healthcare providers to view detailed audit histories, providing transparency in data handling practices. Additionally, the system may include permissions to restrict data access to authorized users, recording each access request to the verification system. This comprehensive audit trail assists healthcare administrators and government bodies in monitoring data integrity and verifying adherence to data protection regulations. By establishing a robust framework for access verification, the blockchain-based security component reinforces the reliability and security of the healthcare platform.
[00038] In an embodiment, the government oversight interface includes real-time tax compliance tracking capabilities that enable monitoring of healthcare provider financial activities to detect discrepancies or fraudulent actions. This interface allows government entities to access, in real-time, healthcare provider financial data and compliance records, providing an integrated overview of each provider's financial activities. The tracking capabilities identify and log financial transactions, creating a report that can be reviewed for potential irregularities, including tax underreporting or suspicious expenses. Additionally, the oversight interface supports automated alerts that notify government agencies of transactions falling outside specified compliance parameters, which assists in timely fraud detection. Data filtering options enable authorized users to categorize and prioritize financial information for faster analysis and reporting. The interface may also generate detailed reports on healthcare providers' tax activities, facilitating efficient government audits. By integrating real-time access and monitoring, the government oversight interface strengthens regulatory compliance

and provides an effective tool for ensuring financial accountability within the healthcare sector.
[00039] In an embodiment, the artificial intelligence processing unit includes a machine learning system that analyzes patient demographic and treatment data, optimizing healthcare resource allocation and formulating public health recommendations. The machine learning system identifies patterns within large sets of patient data, such as demographic trends, prevalent health issues, and treatment outcomes, to forecast future healthcare needs. Based on these analyses, healthcare administrators can make informed decisions regarding resource distribution, such as staffing, medical supplies, and equipment. The system also supports public health by providing recommendations for targeted health interventions, based on analyzed data that indicate health trends within specific populations. The artificial intelligence processing unit further enables real-time analysis of evolving patient demographics, continuously updating recommendations to adapt to changing healthcare demands. Interactive dashboards and data visualization tools may be integrated within the unit, allowing healthcare administrators to monitor data trends and assess system-wide impacts. The machine learning system also supports predictive analytics for future health scenarios, assisting in proactive public health planning.
[00040] In an embodiment, the investigative access component includes a notification system configured to alert healthcare institutions and governmental agencies of unauthorized access attempts, supporting enhanced data security. This notification system detects any anomalous access activities within the healthcare platform, such as login attempts from unknown IP addresses or repeated access requests from unauthorized users. Once an unauthorized attempt is detected, the notification system generates real-time alerts, which are sent directly to designated officials within healthcare institutions and relevant government agencies. The alerts may include specific details about the unauthorized access attempt, including the time, location, and associated user credentials, allowing authorities to take immediate action. Additionally, the notification system provides log reports that document all instances of unauthorized access, which can be reviewed for patterns of suspicious activity. The system further incorporates customizable settings that enable healthcare institutions to define thresholds for notification alerts, optimizing response strategies to potential security threats.
[00041] In an embodiment, the encryption system employs multi-layered encryption methods, including end-to-end and point-to-point encryption techniques, to ensure data confidentiality throughout data access and transmission. End-to-end encryption secures data from the moment it is entered into the healthcare platform until it reaches the intended recipient, preventing unauthorized interception. Point-to-point encryption adds additional security layers during data transfers between specific components of the healthcare platform, ensuring secure data transmission across all network points. The encryption system also supports key management processes, generating unique encryption keys for each transaction and securing keys within a protected storage framework. The system incorporates access control mechanisms to restrict key access to authorized users only, thereby reducing the risk of unauthorized decryption. Furthermore, the encryption system integrates with other security components within the platform, such as audit logging, to provide comprehensive protection for patient records. This configuration supports healthcare providers in maintaining data confidentiality and regulatory compliance.
[00042] In an embodiment, the platform includes an access management control interface that enables configuration of role-based access levels and customization of data access permissions for healthcare, government, and investigative entities. This interface provides administrators with options to define specific access levels for each user group, assigning data access privileges based on users' roles and responsibilities. Role-based access controls within the interface ensure that sensitive data is only accessible to individuals with appropriate clearance, minimizing risks associated with unauthorized access. Additionally, the control interface supports customization features, allowing healthcare institutions to adjust access permissions in response to evolving data security needs. The interface may further provide reporting tools that track access patterns, generating logs that can be reviewed by administrators for enhanced accountability. Data categorization options within the interface support selective access, where users are granted permissions to specific datasets according to their roles, supporting compliance with data privacy standards.
[00043] In an embodiment, the artificial intelligence processing unit is further equipped to identify and flag patterns indicative of potential malpractice or fraud, enabling preemptive investigative action by authorized law enforcement agencies. The processing unit uses pattern recognition to detect irregularities within healthcare transactions, such as abnormal billing practices, duplicate service records, or unusual patient activity. Upon identifying a potential malpractice or fraud indicator, the unit assigns a priority level to each flagged pattern, allowing law enforcement agencies to assess the urgency of each case. The flagged data is stored in a secure log, accessible exclusively to authorized users. Additionally, the processing unit generates automated reports that summarize flagged cases, providing investigators with essential information for their inquiries. Customizable settings within the processing unit allow law enforcement to adjust detection parameters according to investigative needs, ensuring adaptability across various fraud investigation scenarios. This configuration supports an effective approach to identifying and addressing malpractice and fraud within healthcare.
[00044] FIG. 2 illustrates a sequential diagram of the healthcare platform, in accordance with the embodiments of the present disclosure. The healthcare platform sequential diagram illustrates key interactions among a patient, a healthcare provider, and the healthcare platform. Initially, the patient registers on the platform, which generates and assigns a unique patient ID for tracking within the healthcare system. Following registration, the healthcare provider submits the patient's medical data to the platform, securely storing it in a centralized database. This process allows multiple providers to access up-to-date records, ensuring continuity of care. For retrieval, the patient later requests access to their medical record through the platform, which provides the record securely, maintaining compliance with privacy standards. The streamlined steps shown in the diagram highlight the platform's role in facilitating efficient patient data management, from identification and data submission to secure data retrieval. This setup minimizes administrative errors, enhances data security, and supports healthcare providers with real-time access to comprehensive patient information.
[00045] In an embodiment, a unique identification generation unit assigns each individual within a healthcare system a distinct patient identification, contributing to data accuracy and accessibility across healthcare providers. By implementing unique patient identifiers, this unit reduces instances of record duplication, minimizing administrative errors and improving patient management. Furthermore, the generation of unique IDs standardizes patient identity recognition, creating a streamlined approach for data retrieval across multiple healthcare providers. The unit supports coordinated care by facilitating access to comprehensive, unified patient records, ultimately supporting healthcare providers in making informed medical decisions. The standardization provided by this unit enhances data reliability while optimizing patient information tracking, fostering efficient and consistent healthcare service delivery.
[00046] In an embodiment, a centralized patient data storage unit coupled with a cloud-based infrastructure supports secure, real-time access to patient records from multiple healthcare providers, thus enabling efficient data management across the healthcare network. By consolidating patient data within a single repository, the centralized unit eliminates the need for redundant data entry and reduces the risk of incomplete medical histories. With real-time access capabilities, this unit enables healthcare providers to retrieve and update patient information instantaneously, facilitating prompt medical decisions and improving care continuity. Additionally, the cloud infrastructure allows for scalable storage solutions, accommodating increasing data volumes without compromising access speed. The unit's integration across healthcare providers enhances data sharing, allowing medical personnel to access up-to-date patient records when and where necessary.
[00047] In an embodiment, a blockchain-based security component provides data integrity and creates a tamper-proof audit trail for healthcare records, reinforcing compliance and data security. Through cryptographic hashing, the blockchain security component securely links each entry in a chain of data blocks, ensuring that any alterations would be immediately detectable. This immutability guarantees an accurate record of all interactions with patient data, which is essential for regulatory compliance and transparency in data handling. Additionally, decentralized data storage within a blockchain network minimizes the risk of data loss while enhancing data availability. By maintaining an unchangeable history of data access and modifications, the blockchain-based security component strengthens trust in the integrity of healthcare data, thus bolstering healthcare system reliability.
[00048] In an embodiment, a government oversight interface enables real-time monitoring of healthcare provider financial activities by authorized government entities, supporting regulatory adherence and tax compliance. The interface provides immediate access to healthcare provider records, reducing delays in governmental audits and facilitating timely identification of non-compliant activities. By tracking financial transactions and compliance reports, the interface allows for automated detection of irregularities, such as discrepancies in tax filings or suspicious expenses. The government oversight interface's real-time access capability supports data transparency, empowering government agencies to monitor healthcare providers proactively. This immediate visibility into provider records helps ensure consistent adherence to financial regulations and tax policies across healthcare institutions.
[00049] In an embodiment, an artificial intelligence processing unit leverages predictive analytics on healthcare data to support policy development and optimize public health strategies. Through the analysis of patient demographics, treatment trends, and healthcare utilization, this unit provides valuable insights that inform data-driven decision-making. The processing unit's ability to identify patterns in healthcare data enables administrators to allocate resources more efficiently, reducing operational costs while improving care accessibility. Additionally, this data-driven approach allows healthcare policymakers to anticipate public health needs, improving strategic planning and response times. The artificial intelligence processing unit further enhances healthcare outcomes by providing evidence-based insights that guide the development of targeted health interventions and policies tailored to population needs.
[00050] In an embodiment, an investigative access component includes a notification system that alerts healthcare institutions and government agencies of unauthorized access attempts, strengthening data security across the healthcare network. This notification system continuously monitors access activities, generating alerts when suspicious or unauthorized access attempts are detected, such as unusual login patterns or multiple failed access attempts. By immediately notifying relevant personnel, the system allows rapid response to potential security threats, reducing the likelihood of data breaches. Additionally, the logging of access attempts creates a verifiable record that enhances audit capabilities, allowing healthcare institutions to trace security incidents accurately. This proactive security measure supports a robust data protection framework by detecting and deterring unauthorized access.
[00051] In an embodiment, an encryption system employs multi-layered encryption methods, including end-to-end and point-to-point encryption, to secure data throughout access and transmission phases, thereby maintaining data confidentiality. End-to-end encryption ensures that data remains protected from the point of origin to the point of destination, while point-to-point encryption adds additional layers of protection during data transmission between healthcare components. This dual encryption structure safeguards sensitive patient information from interception and unauthorized access. The encryption system's use of multiple encryption layers prevents data breaches, while integrated key management processes regulate access to encryption keys, reinforcing data confidentiality. This configuration upholds privacy standards across all data handling stages, enabling healthcare institutions to meet HIPAA and GDPR requirements effectively.
[00052] In an embodiment, an access management control interface provides customizable role-based access levels and data permissions for healthcare, government, and investigative entities. This interface enables administrators to assign access rights based on user roles, preventing unauthorized individuals from viewing or modifying sensitive data. The interface's customization options allow administrators to adapt access permissions to meet evolving security and operational needs, optimizing data access control across the platform. Role-based access configuration reduces the risk of data breaches by limiting access to specific datasets according to job responsibilities, thereby protecting patient privacy. Additionally, the interface's logging and reporting features provide administrators with detailed records of data access activities, enhancing accountability and enabling secure data sharing across diverse user groups.
[00053] In an embodiment, an artificial intelligence processing unit is configured to detect and flag patterns indicative of potential malpractice or fraud, facilitating preemptive investigation by authorized law enforcement agencies. This processing unit continuously analyzes healthcare transaction data, identifying irregular patterns such as atypical billing practices or unusual patient treatment histories that may indicate fraudulent activity. By applying pattern recognition techniques, the artificial intelligence processing unit can flag high-risk cases, prioritizing cases that warrant immediate review. This detection capability supports law enforcement agencies in preventing fraud by allowing preemptive investigative actions. The processing unit's reporting features provide investigators with concise summaries of flagged cases, streamlining the investigative process and improving response times for fraud prevention.
[00054] Example embodiments herein have been described above with reference to block diagrams and flowchart illustrations of methods and apparatuses. It will be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by various means including hardware, software, firmware, and a combination thereof. For example, in one embodiment, each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations can be implemented by computer program instructions. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified in the flowchart block or blocks.
[00055] Throughout the present disclosure, the term 'processing means' or 'microprocessor' or 'processor' or 'processors' includes, but is not limited to, a general purpose processor (such as, for example, a complex instruction set computing (CISC) microprocessor, a reduced instruction set computing (RISC) microprocessor, a very long instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00056] The term "non-transitory storage device" or "storage" or "memory," as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
[00057] Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
[00058] While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.













instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00056] The term "non-transitory storage device" or "storage" or "memory," as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
[00057] Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
[00058] While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.

Claims
I/We Claim:
1. A unified healthcare and compliance platform comprising:
a unique identification generation unit configured to assign a distinct patient identification to each individual within a healthcare system;
a centralized patient data storage unit coupled with a cloud-based infrastructure, configured to store, secure, and facilitate real-time access to patient medical records from multiple healthcare providers;
a blockchain-based security module configured to maintain data integrity and provide a tamper-proof audit trail for healthcare records;
a government oversight interface configured to enable real-time access to healthcare provider financial and compliance records by authorized government entities, ensuring regulatory adherence;
an artificial intelligence processing unit configured to perform predictive analytics on healthcare data, providing insights for policy development and public health strategy;
an investigative access module configured to provide secure, role-based access to patient medical records for law enforcement investigations; and
an encryption system integrated into the platform, configured to ensure data security, compliance with privacy standards, and role-based access controls in accordance with HIPAA and GDPR requirements.
2. The platform of claim 1, wherein the unique identification generation unit comprises a patient ID encryption feature that enhances secure access across healthcare providers and prevents duplication of patient records.
3. The platform of claim 1, wherein the centralized patient data storage unit is configured to facilitate data interoperability, allowing integration with pre-existing electronic health record (EHR) systems from various healthcare providers.
4. The platform of claim 1, wherein the blockchain-based security module further comprises an automated verification system that records access logs and modifications to the medical records, supporting an immutable audit history for compliance.
5. The platform of claim 1, wherein the government oversight interface is configured with real-time tax compliance tracking capabilities, enabling monitoring of healthcare provider financial activities to detect discrepancies or fraudulent activities.
6. The platform of claim 1, wherein the artificial intelligence processing unit includes a machine learning algorithm configured to analyze patient demographic and treatment data for optimizing healthcare resources allocation and formulating public health recommendations.
7. The platform of claim 1, wherein the investigative access module includes a notification system configured to alert healthcare institutions and governmental agencies of unauthorized access attempts, supporting enhanced data security.
8. The platform of claim 1, wherein the encryption system employs multi-layered encryption protocols, including end-to-end and point-to-point encryption techniques, ensuring data confidentiality throughout data access and transmission.
9. The platform of claim 1, wherein the platform comprises an access management control interface, enabling configuration of role-based access levels and customization of data access permissions for healthcare, government, and investigative entities.
10. The platform of claim 1, wherein the artificial intelligence processing unit is further configured to identify and flag patterns indicative of potential malpractice or fraud, enabling preemptive investigative action by authorized law enforcement agencies.





Dated 11 November 2024 Jigneshbhai Mungalpara
IN/PA- 2640
Agent for the Applicant


UNIFIED HEALTHCARE AND COMPLIANCE PLATFORM FOR SECURE PATIENT IDENTIFICATION, DATA ACCESS, AND GOVERNMENT OVERSIGHT
Abstract
Disclosed is a unified healthcare and compliance platform comprising a unique identification generation unit to assign distinct patient identifications within a healthcare system. A centralized data storage unit facilitates secure, real-time access to patient records across healthcare providers through a cloud-based infrastructure. A blockchain-based security element maintains data integrity and supports a tamper-proof audit trail. A government oversight interface allows authorized entities to access healthcare provider financial and compliance records to ensure adherence to regulations. An artificial intelligence processing element performs predictive analytics on healthcare data, delivering insights for policy and public health strategy. An investigative access element provides secure, role-based access for law enforcement investigations, while an encryption system ensures data security and compliance with HIPAA and GDPR standards through robust, role-based access controls.

, Claims:instruction word (VLIW) microprocessor, a microprocessor implementing other types of instruction sets, or a microprocessor implementing a combination of types of instruction sets) or a specialized processor (such as, for example, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or a network processor).
[00056] The term "non-transitory storage device" or "storage" or "memory," as used herein relates to a random access memory, read only memory and variants thereof, in which a computer can store data or software for any duration.
[00057] Operations in accordance with a variety of aspects of the disclosure is described above would not have to be performed in the precise order described. Rather, various steps can be handled in reverse order or simultaneously or not at all.
[00058] While several implementations have been described and illustrated herein, a variety of other means and/or structures for performing the function and/or obtaining the results and/or one or more of the advantages described herein may be utilized, and each of such variations and/or modifications is deemed to be within the scope of the implementations described herein. More generally, all parameters, dimensions, materials, and configurations described herein are meant to be exemplary and that the actual parameters, dimensions, materials, and/or configurations will depend upon the specific application or applications for which the teachings is/are used. Those skilled in the art will recognize, or be able to ascertain using no more than routine experimentation, many equivalents to the specific implementations described herein. It is, therefore, to be understood that the foregoing implementations are presented by way of example only and that, within the scope of the appended claims and equivalents thereto, implementations may be practiced otherwise than as specifically described and claimed. Implementations of the present disclosure are directed to each individual feature, system, article, material, kit, and/or method described herein. In addition, any combination of two or more such features, systems, articles, materials, kits, and/or methods, if such features, systems, articles, materials, kits, and/or methods are not mutually inconsistent, is included within the scope of the present disclosure.

Claims
I/We Claim:
1. A unified healthcare and compliance platform comprising:
a unique identification generation unit configured to assign a distinct patient identification to each individual within a healthcare system;
a centralized patient data storage unit coupled with a cloud-based infrastructure, configured to store, secure, and facilitate real-time access to patient medical records from multiple healthcare providers;
a blockchain-based security module configured to maintain data integrity and provide a tamper-proof audit trail for healthcare records;
a government oversight interface configured to enable real-time access to healthcare provider financial and compliance records by authorized government entities, ensuring regulatory adherence;
an artificial intelligence processing unit configured to perform predictive analytics on healthcare data, providing insights for policy development and public health strategy;
an investigative access module configured to provide secure, role-based access to patient medical records for law enforcement investigations; and
an encryption system integrated into the platform, configured to ensure data security, compliance with privacy standards, and role-based access controls in accordance with HIPAA and GDPR requirements.
2. The platform of claim 1, wherein the unique identification generation unit comprises a patient ID encryption feature that enhances secure access across healthcare providers and prevents duplication of patient records.
3. The platform of claim 1, wherein the centralized patient data storage unit is configured to facilitate data interoperability, allowing integration with pre-existing electronic health record (EHR) systems from various healthcare providers.
4. The platform of claim 1, wherein the blockchain-based security module further comprises an automated verification system that records access logs and modifications to the medical records, supporting an immutable audit history for compliance.
5. The platform of claim 1, wherein the government oversight interface is configured with real-time tax compliance tracking capabilities, enabling monitoring of healthcare provider financial activities to detect discrepancies or fraudulent activities.
6. The platform of claim 1, wherein the artificial intelligence processing unit includes a machine learning algorithm configured to analyze patient demographic and treatment data for optimizing healthcare resources allocation and formulating public health recommendations.
7. The platform of claim 1, wherein the investigative access module includes a notification system configured to alert healthcare institutions and governmental agencies of unauthorized access attempts, supporting enhanced data security.
8. The platform of claim 1, wherein the encryption system employs multi-layered encryption protocols, including end-to-end and point-to-point encryption techniques, ensuring data confidentiality throughout data access and transmission.
9. The platform of claim 1, wherein the platform comprises an access management control interface, enabling configuration of role-based access levels and customization of data access permissions for healthcare, government, and investigative entities.
10. The platform of claim 1, wherein the artificial intelligence processing unit is further configured to identify and flag patterns indicative of potential malpractice or fraud, enabling preemptive investigative action by authorized law enforcement agencies.





Dated 11 November 2024 Jigneshbhai Mungalpara
IN/PA- 2640
Agent for the Applicant

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