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Abstract

Purpose: This study examines research trends on the application of Artificial Intelligence (AI) in hospital human resource management (HRM) and explores its implications for employee performance and career development.


Research Method: A Systematic Literature Review (SLR) and bibliometric analysis were conducted on 30 articles published between 2020 and 2025. Relevant studies were identified through a structured keyword search and screened using the PRISMA protocol. VOSviewer was employed to map research trends, thematic clusters, and keyword relationships.


Results and Discussion: Our major research clusters were identified as: AI and employee performance; AI in recruitment and talent management; career development and employee engagement; and digital transformation with data analytics. Publications increased substantially after 2023, reflecting growing interest in AI-driven HRM. The literature indicates a shift from operational efficiency and automation toward strategic workforce management, data-driven decision-making, talent optimization, and sustainable career development. AI is increasingly recognized as a tool for enhancing organizational adaptability and human capital effectiveness in hospitals.


Implications: Healthcare organizations should integrate AI with workforce capabilities and organizational readiness to improve employee performance and support sustainable career development.


Originality: This study provides a comprehensive synthesis of AI research in hospital HRM by combining PRISMA-based review procedures with bibliometric analysis.

Keywords

artificial intelligence hospital HRM employee performance career development bibliometric analysis

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How to Cite
Kosasih, K., Yesika, M., Lustina, F. A., Rusdiana, E., & Tan, A. R. T. (2026). Artificial Intelligence in Hospital Human Resource Management: A Systematic Review and Bibliometric Analysis. Advances in Human Resource Management Research, 4(2), 267–285. https://doi.org/10.60079/ahrmr.v4i2.776
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