Employment Practices Using Artificial Intelligence in Healthcare: A Systematic Literature Review

In recent years, human resource management (HRM) has witnessed an increasing awareness of the potential applications of artificial intelligence (AI) technologies. However, the practical integration of AI in HRM, particularly in the domain of employing new members of the workforce in the healthcare sector, remains an underexplored frontier. The proliferation of AI, bolstered by the emergence of user-friendly tools and chatbots, has paved the way for a paradigm shift in employment practices in healthcare. Notably, a conspicuous gap exists in the literature concerning a comprehensive overview of AI’s organizational-level impacts on recruiting and managing nurses, doctors, physicians, and other healthcare staff. The objective of this study, therefore, is to fill this gap by systematically analyzing and synthesizing existing academic contributions related to the use of AI for recruitment in the healthcare sector. To accomplish this objective, a rigorous systematic literature review is employed, examining peer-reviewed articles in scientific journals, written in English, and published until 2022. With this, the study will identify the most cited articles, and the most productive authors, and showcase the main findings, and topic hotspots. The findings of this study offer invaluable insights for both researchers and practitioners in the field of HRM, offering guidance on harnessing AI technologies to optimize employment processes in an ethical and effective manner