Chapter One — 1.1 Background to the Study

Organizations that depend on remote patient monitoring systems are under increasing pressure to modernize, and Edge Computing has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.

In practice, however, adoption of edge computing within remote patient monitoring systems has been uneven, and its actual impact on threat detection accuracy is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.

1.2 Statement of the Problem

Current remote patient monitoring systems in many organizations struggle with inadequate threat detection accuracy, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating edge computing, these limitations are likely to persist, exposing organizations to inefficiency, risk, and a poor user experience. This study is motivated by the need to design and evaluate a edge computing-based approach to addressing this problem.

1.3 Objectives of the Study

1. To design and implement a edge computing-based approach to improving threat detection accuracy in remote patient monitoring systems.
2. To evaluate the effectiveness of Edge Computing in enhancing threat detection accuracy within remote patient monitoring systems.
3. To identify the key requirements and constraints relevant to deploying edge computing in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can edge computing be applied to improve threat detection accuracy in remote patient monitoring systems?
2. How effective is Edge Computing at enhancing threat detection accuracy within remote patient monitoring systems?
3. What requirements and constraints are relevant to deploying edge computing in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

Beyond its immediate technical contribution, this study offers value to organizations evaluating whether to invest in edge computing for their own remote patient monitoring systems, and contributes to the broader literature on applied software technology / IT by documenting a concrete implementation and evaluation case.

1.6 Scope of the Study

The study is limited to the design, implementation, and evaluation of a edge computing-based approach to improving threat detection accuracy within remote patient monitoring systems. Reflecting its clearly defined scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.