IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-05488990.html

Künstliche Intelligenz und Krankenhausqualität in Marokko: Auf dem Weg zu einem innovativen Modell des öffentlichen Gesundheitsmanagements
[Artificial Intelligence And Hospital Quality In Morocco: Toward An Innovative Model Of Public Health Management]

Author

Listed:
  • Sahar Moukhafi

  • Sarah Mahir
  • Ajarrar Nada
  • Mabtoul Houda
  • Soukaina Saad
  • Kezazy El

    (ENCG Beni Mellal - LAREMO - USMS - Université Sultan Moulay Slimane)

Abstract

In the face of profound digital transformations redefining the healthcare landscape, artificial intelligence (AI) emerges as a strategic vector for enhancing hospital quality systems. This article adopts a conceptual and exploratory perspective to investigate the prerequisites for a responsible, sustainable integration of AI within the quality management frameworks of Moroccan public hospitals. Anchored in a critical review of contemporary scientific and institutional literature, and informed by an in-depth analysis of the national context, the study introduces a comprehensive strategic model structured around three foundational pillars: a phased and adaptive deployment methodology, the systematic reinforcement of technological infrastructure and human competencies, and the establishment of a robust ethical and governance architecture. The distinctiveness of this research lies in its framing of AI not solely as a tool for operational optimisation, but as a transformative force for managerial innovation aligned with the sustainable development imperatives of the healthcare sector. By proposing a pragmatic, contextually grounded, and ethically oriented roadmap, the article aspires to advance scholarly discourse and furnish policymakers with actionable insights to facilitate the successful deployment of AI in service of healthcare quality enhancement.

Suggested Citation

  • Sahar Moukhafi & Sarah Mahir & Ajarrar Nada & Mabtoul Houda & Soukaina Saad & Kezazy El, 2025. "Künstliche Intelligenz und Krankenhausqualität in Marokko: Auf dem Weg zu einem innovativen Modell des öffentlichen Gesundheitsmanagements [Artificial Intelligence And Hospital Quality In Morocco: Toward An Innovative Model Of Public Health Manage," Post-Print hal-05488990, HAL.
  • Handle: RePEc:hal:journl:hal-05488990
    DOI: 10.5281/zenodo
    Note: View the original document on HAL open archive server: https://hal.science/hal-05488990v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05488990v1/document
    Download Restriction: no

    File URL: https://libkey.io/10.5281/zenodo?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-05488990. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.