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Research code: 117148427093497284039162975864
Ethics code: IR.IAU.LIAU.REC.1403.135

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1- Department of Public Administration, Ra.C., Islamic Azad University, Rasht, Iran
2- Department of Computer Engineering, Ra.C., Islamic Azad University, Rasht, Iran
3- Department of pharmaceutics, School of Pharmacy, Guilan University of Medical Science, Rasht, Iran.
Abstract:   (68 Views)
Background:Job crafting helps healthcare professionals proactively cope with the rapid changes brought about by AI, shift their job boundaries to better collaborate with it, and upgrade their job skills to adapt to it.

Objective:This study aims to explain the role of AI in job crafting of healthcare professionals.

Methods: This research is an applied and descriptive research conducted using the Delphi approach. The statistical population included executive experts (physicians, nurses, laboratory scientists, and pharmacists) in the healthcare system of hospitals and nursing and pharmacy schools in Rasht and Anzali Campus, academic specialists Doctors of Human Resources Management and Computers, and experts from the staff of the University of Medical Sciences (experts in development and transformation management, human resource management, and information technology management). The method of purposive judgment sampling and the data collection tool were closed interviews
Results: Expressing the impact of AI on job crafting components including developing individual skills, increasing job feedback, increasing job control, increasing autonomy, increasing social support, increasing feedback from supervisors and coworker, high responsibility and reducing stressful job demands for healthcare professionals.
Conclusion: The use of artificial intelligence improves the speed and accuracy of decision-making by increasing autonomy and the quality of information, strengthens team collaboration, and demonstrates the necessity of developing individual skills of specialists based on artificial intelligence and increasing their responsibility.
     
Review Paper: Research | Subject: Special
Received: 2025/10/20 | Accepted: 2026/01/7

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