EST. 2026

The Archive

Software Technology / IT · BSc · REF. TA-0648

Development of a Chatbot Technology-Powered Electronic Health Records for Improved Decision Support

Abstract

This BSc study investigates the subject matter outlined in the title above through a structured research design appropriate to the BSc level. Using primary and/or secondary data collection methods, the research examines the underlying variables, tests relevant hypotheses, and presents findings with implications for practice and policy. This is placeholder abstract text generated for catalogue preview purposes; the full document contains a complete, topic-specific abstract, literature review, methodology, data analysis, and conclusion.

Chapter One — 1.1 Background to the Study

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

In practice, however, adoption of chatbot technology within electronic health records has been uneven, and its actual impact on decision support 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 decision support within electronic health records remain largely reactive and fragmented, with little systematic use of chatbot technology despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around chatbot technology.

1.3 Objectives of the Study

  1. To design and implement a chatbot technology-based approach to improving decision support in electronic health records.
  2. To evaluate the effectiveness of Chatbot Technology in enhancing decision support within electronic health records.
  3. To identify the key requirements and constraints relevant to deploying chatbot technology in this context.
  4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

  1. How can chatbot technology be applied to improve decision support in electronic health records?
  2. How effective is Chatbot Technology at enhancing decision support within electronic health records?
  3. What requirements and constraints are relevant to deploying chatbot technology 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 Chatbot Technology 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 chatbot technology applications in software technology / IT.

1.6 Scope of the Study

As a BSc-level study, its scope is confined to designing and evaluating a chatbot technology-based solution for electronic health records, focused specifically on decision support; broader deployment considerations fall outside this scope.

Chapters Two through Five, references and appendices are available for a one-time fee of ₦50,000.

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