Chapter One — 1.1 Background to the Study

Organizations that depend on electronic health records are under increasing pressure to modernize, and Explainable AI has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.

Despite this potential, many existing electronic health records were not originally designed with explainable AI in mind, resulting in persistent gaps in user experience that limit their overall effectiveness. This study examines how Explainable AI can be applied to help close that gap.

1.2 Statement of the Problem

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

1.3 Objectives of the Study

1. To design and implement a explainable AI-based approach to improving user experience in electronic health records.
2. To evaluate the effectiveness of Explainable AI in enhancing user experience within electronic health records.
3. To identify the key requirements and constraints relevant to deploying explainable AI in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can explainable AI be applied to improve user experience in electronic health records?
2. How effective is Explainable AI at enhancing user experience within electronic health records?
3. What requirements and constraints are relevant to deploying explainable AI in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

This study is significant to software developers and system architects seeking practical guidance on applying Explainable AI within electronic health records. It is equally relevant to organizations that rely on these systems, offering a reference point for evaluating whether such an investment is justified, and it adds to the growing body of work on explainable AI applications in software technology / IT.

1.6 Scope of the Study

The study is limited to the design, implementation, and evaluation of a explainable AI-based approach to improving user experience within electronic health records. Reflecting its clearly defined scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.