L’intelligence artificielle comme catalyseur des pratiques de management de la qualité: étude qualitative exploratoire des implications dans les établissements de santé marocains

Amid the profound transformations currently shaping the Moroccan healthcare system, this study investigates the modalities of artificial intelligence (AI) integration and its implications for the evolution of quality management approaches within healthcare institutions. The research, conducted using an exploratory qualitative approach, is based on 18 semi-structured interviews with key stakeholders from six categories of institutions (university hospital centers, public hospitals, private clinics, specialized dental facilities, medical laboratories, and ophthalmology clinics), capturing the diversity of practices. The findings reveal a contrasted adoption of AI, with some institutions utilizing advanced tools for document management, procedure development, and quality indicator monitoring, while others remain constrained by insufficient resources and a marked lack of algorithmic and digital literacy. AI emerges as a promising lever to structure and enhance quality processes, provided its integration occurs within an adapted governance framework that respects regulatory constraints and ethical requirements related to health data. The main limitation lies in disparities in digital competencies and challenges related to securing sensitive data. The study thus recommends targeted strategies to support this transition, particularly in institutional leadership and skills development.