연구 분야: Verification
학회: SN Computer Science
Within the context of the digital revolution, the domain of smart healthcare has emerged as a promising area with the aim of enhancing patient care, streamlining clinical operations, and facilitating prompt medical interventions. However, the main priority in smart healthcare revolves around the challenges of security and privacy. In addition to concerns over security and privacy, there are also other problems associated with the sharing of electronic healthcare records EHR through a robust mechanism that is both controlled and authenticated. The paper presents a proposed framework that aims to enhance security, privacy, and automation through the utilization of blockchain and IPFS technologies. Furthermore, the integration of wearable devices and deep learning techniques can be utilized to develop a risk evaluation system that facilitates fall detection and automated response, which helps with immediate medical assessment requests through a secured automated system. Integrating blockchain and IPFS provides a secure system that is cost-effective. Smart contracts provide secure and robust business logic and access control management. The integration of blockchain with IPFS offers a secure and cost-effective approach. The utilization of smart contracts enables reliable access control management and robust business logic. It provides a more restricted method for EHR sharing such as the quantity of accesses, duration of access, and specific permissions granted.
| 발행 연도 | 2025년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | Andorra, United States |
| 사이트 | Springer |
| 좋아요 수 | 0 |