Chapter One — 1.1 Background to the Study

Artificial Intelligence has become one of the more actively explored innovations in the design of modern electronic health records, promising gains in efficiency and reliability that legacy, largely manual approaches have struggled to deliver.

In practice, however, adoption of artificial intelligence within electronic health records has been uneven, and its actual impact on data security is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.

1.2 Statement of the Problem

Existing approaches to data security within electronic health records remain largely reactive and fragmented, with little systematic use of artificial intelligence despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around artificial intelligence.

1.3 Objectives of the Study

1. To design and implement a artificial intelligence-based approach to improving data security in electronic health records.
2. To evaluate the effectiveness of Artificial Intelligence in enhancing data security within electronic health records.
3. To identify the key requirements and constraints relevant to deploying artificial intelligence in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can artificial intelligence be applied to improve data security in electronic health records?
2. How effective is Artificial Intelligence at enhancing data security within electronic health records?
3. What requirements and constraints are relevant to deploying artificial intelligence 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 artificial intelligence for their own electronic health records, 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 artificial intelligence-based approach to improving data security within electronic health records. Reflecting its BSc-level scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.