Developing a Comprehensive Model for Digital Transformation of Human Resource Management in Iran’s Healthcare System
Keywords:
Digital transformation, Human resource management, Healthcare system, Emerging technologies, Comprehensive model, IranAbstract
This study aimed to design and propose a comprehensive model for digital transformation of human resource management in Iran’s healthcare system. This study employed a mixed-methods (qualitative–quantitative) approach based on inductive–deductive logic. In the qualitative phase, 20 semi-structured interviews with healthcare and digital experts were conducted using purposive and snowball sampling, and data were analyzed through thematic analysis. In the quantitative phase, a questionnaire derived from qualitative findings was distributed among experts and analyzed using the capability–attractiveness matrix. In the structural phase, MICMAC analysis was used to identify key drivers and relationships, and the final model was validated using the Delphi method. The results indicated that the digital readiness of HRM in Iran’s healthcare system is in a transitional stage, with infrastructural, cultural, and skill-related variables significantly influencing transformation success. Five key technologies showed the highest impact. The proposed model consists of four main dimensions (technological, organizational, human–cultural, and legal–policy) across three levels and is implemented in five stages. Scenario analysis revealed that government support and institutional resistance significantly determine transformation outcomes. Successful digital transformation of HRM in healthcare requires simultaneous alignment of technological infrastructure, human capital development, organizational restructuring, and legal frameworks, and the proposed model provides a practical framework for sustainable digital transformation policy and implementation.
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Copyright (c) 2025 Ali Vahidi Sabzevar (Author); Abbas Monavarian; Sina Tarighi, Mohammad Ali Hatefi (Author)

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