The contribution of Artificial Intelligence to the Operational Performance of Quality System: A Systematic Review in the Healthcare Sector

Ouafa BARAKAT; Imane BOUHSAIN

doi:10.23882/ijdam.26253

Autores/as

Ouafa BARAKAT ENCG of Agadir, Ibn Zohr University, Agadir, Morocco
Imane BOUHSAIN ENCG of Agadir, Ibn Zohr University, Agadir, Morocco

DOI:

https://doi.org/10.23882/ijdam.26253

Palabras clave:

Artificial Intelligence, Operational Performance, Quality System, Healthcare, Systematic Review

Resumen

This paper presents a systematic review of the contribution of Artificial Intelligence (AI) to the operational performance of quality system in the healthcare sector. Over the past decade, AI has emerged as a transformative technology in healthcare, offering opportunities to enhance diagnostic accuracy, patient monitoring, treatment personalization, and the operational performance of hospital quality system. Beyond clinical applications, AI supports quality management by reducing medical errors, promoting continuous improvement, facilitating accreditation processes, and strengthening overall quality assurance practices. Despite these potential benefits, the adoption of AI in healthcare quality system remains limited and faces several challenges, including high implementation costs, lack of specialized skills, and ethical and legal concerns related to accountability and transparency. These challenges are compounded by disparities in digital infrastructure and the uneven dissemination of technological innovations across healthcare institutions. Based on the synthesis of the reviewed studies, it is clear that addressing these challenges through clear regulatory frameworks, investment in infrastructure, and professional capacity-building could enable AI to play a transformative role in enhancing operational performance and overall healthcare quality in hospitals.

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