<p>In modern healthcare systems, protecting sensitive medical data while preserving its accessibility and integrity is a major concern, particularly with the exponential growth of IoT generated data. Traditional cloud-based solutions often face limitations related to latency, scalability, and security. To overcome these issues, this paper proposes FogChainFlow, a hybrid framework that integrates fog computing and blockchain technology for secure and efficient healthcare data management. Fog computing reduces latency by enabling edge-level data processing, while blockchain ensures data integrity and secure transactions with its decentralized and tamper-resistant ledger. In FogChainFlow, sensor-generated data is categorized into vital data and ancillary data. Vital data demands immediate and secure on-chain storage within fog nodes, while ancillary data is encrypted using AES and stored off-chain in the cloud through fog device, ensuring optimized resource utilization. By performing encryption at the fog device level, FogChainFlow ensures secure data transmission and processing throughout the system. Based on the comparative performance shown in the investigation, FogChainFlow shows considerable improvements in time efficiency. When compared to on-chain and off-chain, the framework improves time efficiency by 58.4% and 48.4%, respectively. This performance demonstrates its capacity to optimize data processing and reduce latency effectively. FogChainFlow, which combines on-chain and off-chain data management methodologies, balances decentralized processing with resource consumption, making it a highly efficient and scalable solution for current healthcare data management in IoT-driven environments.</p>