The Ethics of Artificial Intelligence in Healthcare Decision-Making

Thesis Abstract

Abstract
The integration of artificial intelligence (AI) in healthcare decision-making processes has brought about significant advancements in the field, offering promising solutions to complex challenges. However, the ethical implications of utilizing AI in healthcare settings have come under scrutiny, raising concerns about patient autonomy, privacy, bias, and transparency. This thesis explores the ethical dimensions of AI in healthcare decision-making, aiming to provide a comprehensive analysis of the associated ethical issues and potential solutions. Chapter 1 provides an introduction to the research topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. The chapter also defines key terms relevant to the research. Chapter 2 presents a detailed literature review that examines existing studies, theories, and frameworks related to the ethics of AI in healthcare decision-making. The review highlights key ethical considerations, challenges, and best practices identified in the literature. Chapter 3 discusses the research methodology employed in this thesis, including the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also describes the theoretical framework used to guide the study. Chapter 4 presents a comprehensive discussion of the findings derived from the analysis of the ethical implications of AI in healthcare decision-making. The chapter explores themes such as patient autonomy, bias mitigation, transparency, accountability, and the role of healthcare professionals in ensuring ethical AI deployment. Chapter 5 offers a conclusion and summary of the key findings of the thesis, highlighting the implications for healthcare practice, policy, and future research directions. The chapter concludes with recommendations for promoting ethical AI practices in healthcare decision-making processes. Overall, this thesis contributes to the ongoing discourse on the ethics of AI in healthcare decision-making by providing a nuanced analysis of the ethical challenges and opportunities associated with the use of AI technologies in healthcare settings. By addressing these ethical concerns, healthcare stakeholders can work towards harnessing the potential benefits of AI while upholding ethical principles and ensuring patient well-being and safety.