Revolutionary Blockchain Access Control Model Enhances Medical Records Interoperability
Los Angeles, Tuesday, 27 May 2025.
Recent innovations detail the Block-based Access Control Scheme (BBACS) that streamlines blockchain-based medical record access, reducing costs and improving efficiency without traditional cryptographic infrastructures.
Streamlining Electronic Medical Records
The Block-based Access Control Scheme (BBACS) introduces a novel way of managing blockchain-based electronic medical records (EMRs), eliminating the need for an intermediary agent layer. By allowing access control with block-level granularity, BBACS enhances interoperability while reducing operational complexities. This efficiency is achieved without relying on traditional public key infrastructures, which are commonly used in other blockchain solutions [1].
Cost Efficiency and Computational Performance
The BBACS model also promises significant reductions in network construction costs and improvements in computational performance. Initial simulations of BBACS reported notable time savings in local computation and data transmission over Wi-Fi, compared to traditional schemes like HDG. This efficiency encourages wider adoption of blockchain technology in healthcare, where cost management and computational efficiency are crucial [1].
Interoperability Challenges in Healthcare
Despite the promising advancements, healthcare systems globally face ongoing interoperability challenges. The sheer diversity of healthcare institutions, from hospitals to small clinics, contributes to data silos, making EMR integration difficult. Technologies like BBACS provide the structural framework needed to connect these disparate data systems effectively while ensuring privacy and security [2].
Future Prospects and Innovations
The potential of smart healthcare systems using IoT and blockchain technologies is vast. For instance, the integration of IoT in health systems offers enhanced data management capabilities with new access control models like BBACS paving the way for secure and efficient data handling. These models create a foundation for more innovative applications, such as AI-driven diagnostics and remote patient monitoring, which are being increasingly explored in healthcare [3][4].