Artificial Intelligence in Healthcare: Enhancing Knowledge Retention Through Technological Innovation

Abstract

In today’s competitive global job market, employee retention is a growing challenge, particularly in the healthcare sector. Organizations must adopt a strategic approach that aligns with employees' needs and aspirations to mitigate rising turnover and staff mobility. This issue significantly affects operational stability, quality care, and clinical expertise. Addressing these challenges requires creating an environment that encourages employees to stay and feel valued. A key component of tackling employee retention is knowledge retention. With high turnover rates, retirements, and rapid advancements in medical knowledge, healthcare organizations face difficulties in preserving expertise crucial for delivering quality care. Effective knowledge retention is essential for maintaining clinical skills, ensuring continuous patient care, and sustaining operational efficiency. This study explores how Artificial Intelligence (AI) can support knowledge retention in healthcare settings. Technologies such as machine learning, natural language processing, and knowledge management systems can help preserve both explicit and tacit knowledge. AI can mitigate expertise loss due to turnover, support continuous learning, and provide real-time access to vital information.AI also addresses challenges related to rapidly advancing medical knowledge and the transfer of tacit knowledge. By leveraging AI, healthcare organizations can enhance knowledge sharing, improve professional development, and ultimately advance healthcare delivery and patient outcomes. However, AI integration must be approached carefully to ensure its ethical application.