Artificial intelligence in health-care: implications for the job design of healthcare professionals

Aizhan Tursunbayeva*, Maarten Renkema

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
10 Downloads (Pure)


The adoption of Artificial Intelligence (AI) in the healthcare sector is growing, and AI-based technologies are envisioned to affect not only patient care but also how healthcare professionals work. Nevertheless, the actual impact of various AI applications on healthcare professionals’ jobs has not been studied yet. Bringing together a framework to analyse AI applications in health-care and the job design model, we analysed 80 publications from the grey-literature platform ‘SingularityHub’. Our findings demonstrate that AI applications in 1) diagnosis and treatment, 2) patient engagement and empowerment and 3) administrative activities have an impact on the various components of healthcare professionals’ job design, including job autonomy and control; skill variety and use; job feedback; social and relational aspects; and job demands. Implications for future research and practice are discussed.

Original languageEnglish
JournalAsia Pacific Journal of Human Resources
Early online date27 Apr 2022
Publication statusE-pub ahead of print/First online - 27 Apr 2022


  • artificial intelligence
  • future of work
  • healthcare
  • human resource management
  • job design
  • UT-Hybrid-D


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