## 4 Technical Implementation of the Healthcare Hygiene Quality System
### Chaincode Implementation
These observations suggest that system performance is primarily influenced by endorsement policies, peer workload distribution, and CouchDB efficiency. The bottlenecks identified here can be addressed in future iterations by adjusting endorsement strategies or horizontally scaling database components. Taken together, these results suggest that the proposed system can reliably handle sanitation event workloads with high success rates and acceptable latency. Notably, the benchmarking tests were conducted on modest hardware configurations, where all virtual machines operated with 8 GB RAM and 2 vCPUs. Despite these limited resources, the system consistently achieved over 100 TPS throughput with zero transaction failures, demonstrating both operational efficiency and resource-conscious scalability. Minor bottlenecks were observed in endorsement and database operations; however, these did not compromise transaction integrity or responsiveness. These results confirm the system's practical viability for real-world healthcare scenarios and suggest that further optimization--such as peer load balancing or database tuning--could enhance performance even on lightweight cloud environments. ### Security Considerations

Ensuring the security of healthcare data is critical in blockchain-based hygiene and quality management systems. Although Hyperledger Fabric offers a permissioned architecture that restricts network participation through the Membership Service Provider (MSP), X.509 certificates, and TLS encryption, these features alone do not guarantee protection against all potential attack vectors [36; 37]. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Component** & **CPU\% (Max)** & **Memory (Max MB)** & **Disk Write (MB)** \\ \hline /peer0.org1.example.com & 8.10 & 174 & 5.07 \\ \hline /couchdb0 & 13.02 & 64.9 & 1.51 \\ \hline /orderer2.example.com & 2.05 & 67.6 & 11.5 \\ \hline /dev-peer0.org1.example.com & \multirow{2}{*}{3.89} & \multirow{2}{*}{75.2} & \multirow{2}{*}{0} \\ performance & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Resource consumption across Fabric components during the Routine Cleaning benchmark test. Vulnerabilities can arise from misconfigured endorsement policies, chaincode design flaws, or malicious peer behavior. For instance, an attacker could exploit poorly validated chaincode to manipulate room status or cleaning records [37]. Moreover, a lack of fine-grained access control can lead to unauthorized users executing sensitive operations, jeopardizing data confidentiality and process integrity [36,38]. To mitigate these risks, robust security practices must be integrated at the application level. This includes secure chaincode development, rigorous testing before deployment, and continuous monitoring of peer behavior. Furthermore, best practices such as endorsement policy hardening, attribute-based access control (ABAC), and audit logging at the transaction level enhance resilience against both insider threats and external attacks [38,39]. ## 5 Conclusions

In this article, a Hyperledger Fabric-based blockchain architecture is proposed to effectively manage cleaning and hygiene processes in hospital rooms. This approach aims to enhance transparency and reliability in healthcare services by integrating digital technologies, particularly the Internet of Things (IoT), for secure monitoring of cleaning activities. The study emphasizes that incorporating such methods into healthcare cleaning and hygiene protocols can significantly improve the efficiency of monitoring and maintenance processes. Additionally, the system establishes a reliable and transparent quality control mechanism, digitally recording cleaning tasks to create a structured database and ensuring the consistent maintenance of hygiene standards. The proposed system manages routine, detailed, and on-demand cleaning activities in separate categories, enabling more effective oversight of these processes.