Healthcare security along with patient privacy faces substantial complications because of quick digital changes which create substantial volumes of sensitive medical data that passes through many network nodes. Organizations encounter limitations with traditional centralized security models when they aim to deliver secure scalable real-time healthcare solutions. This paper develops a dual strategy that combines the security capabilities of blockchain technology and fog computing for healthcare sector improvements. The network edge benefits from fog computing which provides cloud computing features while achieving fast-response times for security checks and eliminating server dependencies. The filtering attributes of blockchain ensure complete data integrity while preventing any modifications through decentralized management that defends against vulnerabilities from data breaches and unauthorized access. The research examines how fog computing joins with blockchain to protect Electronic Health Records (EHRs) and medical IoT devices and telemedicine applications. The research implements a comparison of system performance aspects including security resilience as well as scalability requirements alongside latency and energy efficiency. Public security improves alongside swift operations and increased privacy in the proposed framework when compared to existing cloud-based techniques. To meet healthcare IoT devices’ limited resources the system includes lightweight cryptographic approaches. The research indicates that merging blockchain-resistant architecture with fog computing time-sensitive services presents a substantial method to enhance medical security systems. The research makes advancements in protected and efficient healthcare systems which build the foundation for trustworthy and durable digital healthcare systems.