Background: The adoption of Artificial Intelligence (AI) in hospital human resource management is slowly becoming a reality in many healthcare settings. Employees remain the most important resource in hospitals, and AI is now being explored to support administrative functions such as recruitment, training, performance evaluation, and workforce engagement. While these applications highlight the opportunities for improving efficiency and decision-making, there are also practical challenges around ethics, data privacy, staff acceptance, and organizational readiness that need to be considered. Objectives: This review aims to document the usefulness of AI in human resource management in hospitals and to highlight the challenges involved in adopting such systems. Methods: A systematic review was conducted following the PRISMA approach. Articles in English published between 2015 to June 2025 were searched through different databases. From 140 records identified, 121 were screened, and 22 were finally included after applying inclusion and exclusion criteria. Results: The findings of the review are grouped under four main areas: AI in Recruitment and Talent Acquisition, AI in training and professional development, Employee performance management, and AI for Workforce Retention and Engagement along with Challenges and Risks in AI Adoption. AI tools were found useful in shortlisting candidates, delivering online training, analyzing employee performance, and predicting staff turnover. However, barriers included shortage of trained professionals, cost of implementation, concerns about job displacement, and lack of organizational preparedness. Conclusion: AI has the potential to improve hospital human resource management by offering new ways to strengthen administrative efficiency and workforce sustainability. At the same time, its adoption must be balanced with ethical safeguards, adequate training, and policies that ensure responsible use.
Artificial Intelligence, Hospital Administration, Human Resource Management, Recruitment and Training, Employee Performance, Workforce Retention.
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