## 4 Use Case Study: [PERSON]'s Healthcare Monitoring
### Scenario Overview
\begin{table}
\begin{tabular}{p{56.9 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Aspect** & **Semantic Annotation** & **Blockchain** & \begin{tabular}{c} **Combined** \\ **Complexity** \\ \end{tabular} & **Potential Solutions** \\ \hline \multirow{3}{*}{Computational Complexity} & \multirow{3}{*}{\
\begin{tabular}{c} High (due to NLP and ML algorithms) \\ \end{tabular} } & Moderate to High (dependent on consensus) & \multirow{3}{*}{High} & Optimised ML models, lighter consensus protocols \\ \hline \multirow{3}{*}{Storage Requirement} & \multirow{3}{*}{
\begin{tabular}{c} Moderate (metadata storage) \\ \end{tabular} } & \multirow{3}{*}{High (ledger and transaction data)} & \multirow{3}{*}{High} & Data pruning strategies, distributed cloud storage \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Detailed assessment of computational complexity and storage in SIM. representation, powering raw data with a structured, universally understood vocabulary that encompasses the vast heterogeneity intrinsic to IoT environments. SIM seamlessly integrates nine elements, combining the benefits of blockchain technology, AI, and IoT. These elements synergistically deliver secure data sharing, real-time annotation, adaptive access controls, and profound insights drawn from semantic analysis. A key feature of SIM is the integration of cutting-edge cryptographic measures within the Data Security and Encryption Module. This module, interacting closely with the Blockchain Component, guarantees the secure transition of semantically annotated data to a blockchain network, addressing multifaceted concerns in data security and user privacy. Moreover, the incorporation of an AI Feedback and Analysis Module harnesses artificial intelligence capabilities in order to continually refine the middleware, ensuring holistic enhancement of the middleware based on user feedback and intricate system event analyses. Conceptualisation, M.E. ; methodology, M.E. ; software, M.E. ; validation, S.K. and E.G. ; resources, E.G. ; writing--original draft preparation, M.E. and S.K. ; writing--review and editing, M.E., S.K. and E.G. ; funding acquisition, M.E. All authors have read and agreed to the published version of the manuscript. This research received no external funding. The data presented in this study are available in this article. The authors acknowledge the use of ChatGPT 4 in the preparation of this article but confirm that no artificial intelligence (AI) tools were used in the actual writing. ChatGPT 4 assisted with specific formatting tasks, including converting content from Word to LaTeX. Additionally, the tool was employed for copyediting and proofreading select sections, checking the flow between subsections, and aiding in identifying the limitations of this work. The authors have taken measures to ensure that any text introduced by ChatGPT 4 remained consistent with the original intent and content. All suggestions provided by ChatGPT 4 were thoroughly reviewed and revised by the authors to uphold the accuracy and integrity of the final manuscript. The authors declare no conflicts of interest. ## References

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