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- Title
Artificial Intelligence and Human Resource Management in Zimbabwe's Public Health Sector: Opportunities and Challenges.
- Authors
Chilunjika, Sharon R. T.; Chilunjika, Alouis
- Abstract
The adoption of artificial intelligence (AI) has become increasingly pervasive in the health domain, and AI-driven solutions are envisioned for not only health service delivery but also key administrative functions such as human resource management (HRM) practices. This study sought to examine the prospects of applying AI to the public health sector, being a large-scale employer that recruits and deploys employees in the provision of public health services. The study sought to bring to light the potential benefits and challenges that the adoption of AI techniques in HRM presents to healthcare systems, particularly in developing countries. The study employed a qualitative exploratory case study approach and data were gathered through documentary review. The research findings suggested that AI has the potential to rapidly transform the way HR functions are carried out in Zimbabwe's public health domain. Additionally, the Ministry of Health and Child Care can benefit from AI-driven solutions in areas such as employee records management, recruitment and selection, performance management, and learning and development of health personnel. The study concluded that while AI plays an important role in transforming HRM practices in the public health sector, its adoption must be preceded by investments in technology, capacity building, and supporting regulations to ensure its success. The findings of this study have significant implications for HR practitioners and policymakers in the public health sector in Zimbabwe, who can take advantage of AI to optimise and improve organisational performance.
- Subjects
PERSONNEL management; MEDICAL personnel; ARTIFICIAL intelligence; PUBLIC health; PERFORMANCE management
- Publication
African Journal of Development Studies, 2024, Vol 14, Issue 4, p239
- ISSN
2634-3630
- Publication type
Academic Journal
- DOI
10.31920/2634-3649/2024/v14n4a11