AI applications in healthcare HR management for driving efficiency and cost reduction: A Literature Review

Abstract

The integration of Artificial Intelligence (AI) into healthcare human resource (HR) management has emerged as a transformative force, enabling organizations to optimize workforce planning, recruitment, training, and employee engagement while reducing operational costs. This review paper systematically synthesizes evidence from existing literature to evaluate AI-driven tools and practices that enhance efficiency and cost-effectiveness in healthcare HR management. Using the PRISMA methodology, the study identifies key themes such as predictive workforce analytics, automated recruitment, performance management, and employee well-being monitoring. Findings highlight that AI applications not only streamline administrative processes but also support strategic decision-making, thereby improving patient care indirectly through better HR outcomes. Despite promising benefits, challenges related to data privacy, workforce adaptability, algorithmic bias, and ethical considerations remain significant. The paper concludes with implications for healthcare administrators, recommendations for future research, and acknowledgment of current limitations in the field.