Electronic Health Records Reimagined: A Blockchain Approach Combined with IPFS and Brain Tumor Detection Through Machine Learning
V. Santhi, D. Dharunya Santhosh, C Sachitha, N Samyuktha, Ganesh D, Arun Maran M · 2024
Our innovative Electronic Health Records (EHR) system represents a paradigm shift in healthcare, seamlessly integrating blockchain, IPFS, and machine learning technologies to address longstanding challenges and propel the industry forward. At its core, our platform ensures data integrity, security, and accessibility through blockchain's decentralized ledger, safeguarding patient information while enabling transparent and immutable records. Leveraging IPFS for file storage enhances efficiency and resilience, allowing medical reports and documents to be securely stored and accessed from anywhere in the world. Machine learning augments our system by offering predictive analytics, empowering healthcare professionals with actionable insights derived from vast datasets. By analyzing trends and patterns, our ML algorithms facilitate early detection of diseases, personalized treatment plans, and proactive healthcare management. This predictive capability revolutionizes patient care, shifting the focus from reactive to preventive medicine. In essence, our EHR solution offers significant benefits for healthcare. It allows healthcare providers to streamline workflows and improve patient outcomes ultimately leading to a more effective, transparent, and patient-centric healthcare ecosystem.