Good evening everyone. My name is Bra Reddy and I'm working as a jaw developer with the Department of Veterans Office. Today I'll be sharing a presentation on secure distributed healthcare platforms fiscally how blockchain powered infrastructure is reshaping next generation medical systems by improving security, interoperability and patient trust. Coming to the evolution of healthcare infrastructure, traditional healthcare systems were built a decades ago around centralized database and proprietary technologies. This work when data volumes were smaller, but today's reality is very different. Every hospital generates terabytes of data from electronic healthcare records, imaging. Variable devices and remote patient monitoring. Centralized models struggle to handle this growth leading to the bottleneck in access, interoperability, and security. For example if a patient moves from North Carolina to California, their medical history doesn't move with them easily. Data is fragmented across different providers with limited mechanisms for real time exchanges. Centralized systems are also prime target for cybersecurity, which have increased dramatically in healthcare. In fact, ransomware incidents in US hospitals double between 2021 and 2023 highlighting the risks of single point of failure. Blockchain offers a paradigm shift. It distributes trust across multiple nodes, ensuring that no single. Entity controls or compromises the system. The immutable nature of blockchain means medical data cannot be altered retroactively, which is critical for trust in healthcare. In short, we move from institution centric soil database to resilient distributor, patient-centric models. Architecture foundations, the blockchain powered healthcare platforms rest on four foundation layers. Blockchain layer provides a code distributed legit that ensure immutable and transparency. Every transaction, whether it's EHR, update or a prescription is recorded permanently conscious mechanism. In healthcare, proof of authority is often preferred since trust institutions validate transactions, it faster than proof of work and aligns with complaints. Smart contacts automate agreements, for example, insurance claims can be processed automatically when clinical data is uploaded. Similarly, trial consent can be tracked and enforced automatically. The photo type is data architecture due to the privacy law. Sensitive patient data typically remains off chain while cryptographic proofs and metadata are stored on chain. This hybrid models balances privacy with the auditable. Together, this elements create secure, sensible, and regulatory foundation that traditional healthcare, it cannot match. Infrastructure as a code. Healthcare is one of the most regulated industries. Any infrastructure change must be auditable, reproducible and secure. This is where infrastructure as a code shines. Using Docker and Kubernetes healthcare organization can ensure applications running consistent environments critical for clinical reliability. Terraform provisions infrastructure across multiple cloud providers while Ansible enforces standardized security and compliance policies. Why is this important? Imagine a hospital rollout, a blockchain enabled. EHR across multiple states without infrastructure has a code every. Deployment would require manual configuration prone to errors and inconsistencies with the infrastructure. As a code, the rollout is automated consistent and fully traceable. Additionally, infrastructure as a code supports disaster recovery. If one data center fails, configurations can be redeployed in a minute elsewhere. Combined with the GitHub's workflows, every change is version control. Providing full transparency and rollback compatibilities. This approach only reduces, not only reduces operation risk, but also satisfied stringent compliance requirements like hipaa. We are audit trails and reproducibility are non-negotiable, negotiable. DevOps, integration, DevOps, and healthcare. Blockchain is not business as usual. It has to balance rapid innovations with strict regulations and patient safety specialized testing. Automated suit checks for smart contacts, vulnerabilities, HIPAA compliance, and clinical workflow integration. For example, before rolling out a new EHR integration, the system stimulates how it would handle actual patient scenarios. Future flags. New blockchain features can be tested with the limited patient groups before a full rollout if issue arises. Rollback is immediate, secure integration, continuous static, dynamic analysis, sincere vulnerabilities like accident, patient data exposure, and detected early release management. Unlike typical software healthcare, religious often require clinical stakeholders sign off and regulatory notification. This is safety First development Pipeline. Innovation continues, but no change compromises compliance, privacy, or patient safety. EHR integration. Electronic healthcare records are the backbone of modern healthcare, but they are flagged by interoperability and patient access issues. Patient often doesn't even want their records. Hospitals do. Patient enables say, patient-centric model where individuals control access is smart Contacts. Patients can grant temporary access to specialist insurance. I insurers or researchers. For example, a cancer patient could allow her oncologist to. In one hospital and a clinical trial team in another to secure view their medical history without central transfer of sense to data Integration with FHIR standards ensure compatibility with existing health IT systems. The blockchain is not replacing EHR, but act as a trust and access layer, verifying identities, recording permissions, and insuring data proven provenance. This model improves auditability, cross institution sharing and trust a step towards true patient, so native or medical data, clinical trials. Clinical trials face major issues, data tampering, lack of transparency, and patient trust. Blockchain addresses all this immutable audit trails. Ensure trial data cannot be retroactively altered is occurred against fraud, smart contracts, automated con consent, milestone payments, and regulatory reporting. Imagine a. A participating enrollment in a study. Their consent is recorded, immu immutably, and the compensation is automatically triggered with milestones are met. Patient remain control since selectively sharing relevant data with research institutions, regulatory agencies, to real time compliance notifications. This transparency build trust among patients participants, researchers and regulators accelerating trial approval and ensuring integrity. Supply chain verification. Counterfeit ducks cost, global healthcare industry. 200 billion annually and endangered millions of lives. Blockchain enables supply chain combat. This pro product authentication. Each drug device receives a digital fingerprint verifiable by anyone in the chain. Co cold chain monitoring. Okay, IO OT Sensors record storage, temperature critical for vaccines and data logged immutably. Recall management fault batches can be instantly identified and trace back avoiding mass recalls. For example, during COVID-19 vaccine rollouts, maintaining cold chain integrity was vital block. Chain back to iot integration. Ensure such transparency and accountability, security and privacy technologies. Healthcare data is the most valuable type of personal data. Fetching highest prices than credit card on the black market. The blockchain performs employ multi-layer security encryption, signature multi-factor authentication, d. D, voice protection, and instruction detection for privacy advanced methods. Hello, useful analysis without exposing raw data. Zero knowledge proof. Prove a condition without sharing the record. Differential privacy, add noise to aggregated queries to protect individuals. Secure multi-party computations. Let multiple hospitals collaborate on analysis without revealing their patient data set. This is crucial because healthcare must balance utility of data with strict confidentiality. Compliance automations compliance consumes enormous resource. In healthcare. Blockchain automates much of this HIPAA smart contracts and force minimum necessary data access, logging all activity, GDPR off change storage with the cryptographic tools like Kimon. Ensure right to be forgotten is feasible. Consent management, patient privacy preferences, updates instantly across systems. Quality reporting metrics are automatically collected and submitted to agencies like CMS. This automatic automation reduces manual paperwork, lower cost, and decreases human errors while ensuring regulatory trustworthy real time foresight. Okay, performance and scalability. A common criticism of blockchain is scalability, healthcare demands, high throughput and realtime Performance solutions include conscious optimization, practical fault tolerance, and should both speed and security late to scaling. Site change handles specialized workloads. Example, clinical trials, which state channel processing microtransactions data optimization and catching hybrid models store heavy medical data efficiently while keeping blockchain locks light. Together, this ensure blockchain platforms can scale for national, even global healthcare systems. Internet of medical things, billions of internet of medical things divides us like pager makers, wearables, glucose monitors, gendered data streams. Blockchain enhances secure trust and security. Here device are registered with the cryptographic identities pre to prevent spoofing. Edge computing pre-process data for real-time alerts. Example, detect for e CGS and such ML algorithms analyze streams to flag early warning signs, patient controls who get access, prevent insecure employers from misusing data. This integration turns raw. Internet of medical things into secure, actionable insights for providers and patients cross broader data. Mesh globalization of healthcare from medical tourism to international research requires sensitive across global broader data exchange. The challenges. Different privacy laws, localization requirements, and interoperability grabs federated Blockchain networks solve this by maintaining data sovereignty. Records stay within the country, but can be verified across borders, supporting emergency care, coordinating for traveling patients, enabling large scale. Global research collaborations while respecting local laws. For example, during global Pandemics, such a mesh code, safe data sharing without violating sovereignty. Future directions. Blockchain in healthcare is evolving alongside emerging tech. Quantum computing rises risk for encryption, so quantum. Algorithms are needed. AI integrations, federal learning, federated learning, plus differential privacy. Yellow AI to try non distributed data without exposing patients. Extended reality. Secure verification for AR or VR medical training. DYA governance distributed decision making among providers, insurance patients, sustainability. It shifted towards energy efficient to cut carbon footprint. Regulations, framework will adopt, requiring flexible blockchain platforms. This future is not just about technologies, but about governance, ethics, and sustainability in healthcare. Thank you.