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All Journal Advances in Human Resource Management Research
Kosasih Kosasih
Universitas Sangga Buana Bandung, Indonesia
Economics, Econometrics & Finance

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Artificial Intelligence in Hospital Human Resource Management: A Systematic Review and Bibliometric Analysis Kosasih Kosasih; Marisa Yesika; Fana Afizza Lustina; Efi Rusdiana; Ardio Rizky Tansil, Tan
Advances in Human Resource Management Research Vol. 4 No. 2 (2026): February - May
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/ahrmr.v4i2.776

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 Design and Methodology: 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. Findings and Discussion: our major research clusters were identified: 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.
Implementation of the JKN Tiered Referral System: A PRISMA-Based Systematic Literature Review and Bibliometric Analysis of Healthcare Management Challenges Kosasih Kosasih; Alif Yosi Samrotul Qolbi; Annisa Dwi Ramdania Pamungkas; Muthia Isratnasari; Leoni Ester Manukiley
Advances in Human Resource Management Research Vol. 4 No. 2 (2026): February - May
Publisher : Yayasan Pendidikan Bukhari Dwi Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60079/ahrmr.v4i2.783

Abstract

Purpose: This study examines the implementation of the tiered referral system under Indonesia’s Jaminan Kesehatan Nasional (JKN) program and analyzes the dilemma between service quality and cost control from healthcare management and public policy perspectives. Research Design and Methodology: This study employed a Systematic Literature Review (SLR) using the PRISMA framework, complemented by bibliometric analysis with VOSviewer. Data were drawn from national and international scientific publications published between 2020 and 2025 concerning tiered referrals, healthcare service quality, and cost efficiency under JKN. Findings and Discussion: The findings show that implementation is hindered by multidimensional challenges, including limited healthcare resources, inadequate infrastructure, low patient compliance, and weak coordination across healthcare levels. Bibliometric mapping indicates growing research interest and a thematic shift from service quality and cost efficiency toward patient behavior, healthcare accessibility, digital health transformation, and integrated care. The analysis confirms a persistent trade-off between improving service quality and controlling healthcare expenditure due to structural and managerial constraints. Implications: The study highlights the need for integrated management strategies that balance quality improvement and cost containment. Strengthening primary care, referral coordination, patient compliance, and digital health adoption is essential for JKN sustainability. Originality: This study integrates PRISMA-based SLR and bibliometric analysis to provide a comprehensive assessment of Indonesia’s JKN tiered referral system.
Co-Authors Alif Yosi Samrotul Qolbi Annisa Dwi Ramdania Pamungkas Ardio Rizky Tansil, Tan Efi Rusdiana Fana Afizza Lustina Leoni Ester Manukiley Marisa Yesika Muthia Isratnasari