## 6 Conclusions  
This study provides a decentralized, safe, and user-friendly approach to BPHRSs by utilizing NFT and Hyperledger blockchain in patient record tracking systems. The PHR-NFT system outperforms existing BPHRS by using NFTs to enhance patient data ownership,  
Figure 10: Fail transaction rates across the configuration. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & **Workers** & **Total Transactions** & **Send Rate** & **Latency** & **Throughput** & **Fail Transactions** & **Failure Rate (\%)** \\ \hline
**Workers** & \(1.00\) & \(-0.00\) & \(-0.49\) & \(-0.13\) & \(-0.32\) & \(0.28\) & \(0.30\) \\ \hline
**Total Transactions** & \(-0.00\) & \(1.00\) & \(-0.37\) & \(0.34\) & \(-0.17\) & \(-0.17\) & \(0.88\) \\ \hline
**Send Rate** & \(-0.49\) & \(-0.37\) & \(1.00\) & \(-0.50\) & \(0.46\) & \(0.46\) & \(-0.47\) \\ \hline
**Latency** & \(-0.13\) & \(0.34\) & \(-0.50\) & \(1.00\) & \(-0.51\) & \(-0.51\) & \(0.21\) \\ \hline
**Throughput** & \(-0.32\) & \(-0.17\) & \(0.46\) & \(-0.51\) & \(1.00\) & \(-0.2\) & \(-0.33\) \\ \hline
**Fail Transactions** & \(0.28\) & \(0.89\) & \(-0.44\) & \(0.20\) & \(-0.28\) & \(1.00\) & \(1.00\) \\ \hline
**Failure Rate (\%)** & \(0.30\) & \(0.88\) & \(-0.47\) & \(0.21\) & \(-0.33\) & \(1.00\) & \(1.00\) \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Correlation matrix. privacy, security, integrity, and interoperability, effectively addressing confidentiality and data management constraints. Patients can use a permission-based system, which ensures data ownership and control, to provide others with temporary access to their data. Data accountability and integrity are ensured with NFTs by monitoring all activity related to patient records and verifying ownership. The performance evaluation demonstrates the practicality and efficiency of PHR-NFT in terms of throughput, latency, transaction failure rates, and security against DoS attacks. The non-linear behavior of transaction delay with increasing transaction loads highlights the significance of effective resource allocation and transaction rate management. Performance varies throughout healthcare organizations due to network bandwidth, chain code configuration, and peer node dispersion. Furthermore, the system's ability to withstand DoS attacks is critical, underscoring the necessity of robust security protocols. However, the research also has certain shortcomings, especially regarding scalability. Peer node distribution and resource management become more complex as network users rise, potentially increasing a system's susceptibility to attacks. The adoption of NFTs may be costly due to infrastructure expenses and inefficient, compounded by a shortage of technical experts skilled in NFT technology within the healthcare industry. Subsequent research endeavors focus on integrating artificial intelligence and machine learning components to automate healthcare diagnosis determinations. The widespread adoption of NFTs and blockchain technology in the healthcare sector will require the development of comprehensive industry standards and regulations, ultimately supporting the creation of an effective and compliant healthcare data ecosystem. Further, more studies are needed to solve scaling issues and improve system performance, even if PHR-NFT offers potential ways to strengthen PHR security and privacy. Future PHR-NFT enhancements will apply modern penetration testing methods to strengthen security and privacy and guarantee cyberattack resistance. One improvement will be more detailed NFT-based access controls, which will provide accurate patient data management while maximizing blockchain scalability. Furthermore, privacy-preserving algorithms will be researched to guarantee adherence to laws like the GDPR, thereby enhancing patient privacy and maintaining data integrity. As a result of these enhancements, PHR-NFT will become a more reliable and flexible solution for safe patient health record management. Conceptualization, H.E.S., N.B.A.B. and S.M.B. ; Methodology, H.E.S., N.B.A.B., S.M.B. and F.H.