Bridging Human Interface and Technology: A Critical Analysis of Artificial Intelligence for Hiring in the Healthcare Sector

In the continuous strive toward efficiency and competitive advantage, organizations are taking steps towards artificial intelligenceArtificial intelligence (AI) as a comprehensive paradigm within the ‘Talent Acquisition’ domain. In the contemporary and dynamic marketplace, where skilled personnel are the most crucial assets for an organization, it is imperative to maintain a competitive edge in talent acquisition by employing AI-enabled recruitment and selection approaches and strategies. The healthcare industry has also begun to leverage AI for talent hiring and selection processes, namely talent acquisition. Regarding the healthcare sector, the implementation of AI has transformed the sub-systems such as administration, diagnosis, and patient care. Healthcare organizations have utilized AI from the initial scanning of resumes to the final hiring processes. This article aims to investigate the influence of AI-enabled factors of recruitment on hiring satisfaction, using structural equation modeling (SEM). The constructs, namely AI-enabled recruitment process, culture fit, and AI-enabled job fit have shown their efficacy in driving effective recruitment and selection systems. By understanding various regimes of AI in the talent acquisition process, this article can prove useful for the practitioners and professionals in healthcare sectors for utilizing AI in management functions while creating a scope for scholars and academicians for further research.