A Systemic Review of Healthcare Challenges Due to Ethical Implications: A PRISMA Analysis

In this rapidly evolving field of healthcare, Artificial Intelligence(AI) presents significant ethical challenges. There is an urgent need to address these ethical concerns as they are directly affecting patient care, As per Healthcare Tech Outlook, 80% of healthcare data cannot be used as it is not structured, resulting in biased outcomes due to its inability to be analyzed. The integration of artificial intelligence (AI) into healthcare has the potential to revolutionize medical services, enhancing patient outcomes, operational efficiency, and overall healthcare management. However, this technological advancement also introduces significant ethical challenges that must be addressed to ensure responsible and equitable use. This research explores the systemic impacts of AI ethics in healthcare by examining five key themes: ethical challenges, influential contributors and collaboration networks, emerging themes, cooccurrence of ethical concepts, and influential publications. The study identifies critical ethical issues such as bias, privacy, transparency, and accountability, highlighting the need for robust ethical guidelines. It also maps the contributions of leading authors and institutions, revealing collaboration networks that drive research in this field. Emerging themes such as transparency, data privacy, fairness, and the environmental impact of AI are discussed, reflecting the evolving landscape of AI ethics. The cooccurrence of ethical concepts is analyzed to understand their interconnected nature, emphasizing the complexity of ethical AI implementation. Finally, influential publications are reviewed to assess their impact on the development of ethical guidelines and best practices. By addressing these research themes, the study aims to contribute to the development of comprehensive ethical frameworks for AI in healthcare, ensuring that the benefits of this technology are realized while minimizing potential risks and ethical concerns.