AI-Supported Human Resource Governance as a Mechanism to Enhance Performance Quality in Algeria's Health Sector

Abstract

This study set out to examine the nature and strength of the relationship between Human Resource Governance (HRG), across its four core dimensions—Transparency and Justice, Efficiency, Accountability, and Participation—and performance quality in Algerian health institutions. It also sought to explore the contextual role of Digital Transformation, particularly Artificial Intelligence, within this relationship. Adopting a descriptive–analytical design, data were collected through a field questionnaire administered to a sample of 86 administrative and healthcare personnel. Pearson correlation and simple linear regression techniques were subsequently employed to test the study’s main hypotheses. The results indicated a strong, positive, and statistically significant association between all HR Governance dimensions and performance quality, thereby lending support to the primary hypothesis. Regression findings, however, pointed to a marked variation in the magnitude of influence. The Participation and Accountability dimensions emerged as the most influential predictors, jointly accounting for more than 50% of the variance in performance quality. In contrast, the Transparency and Justice dimension showed the lowest practical contribution, explaining only 11.9% (R²). In addition, the study revealed a notable implementation gap in relation to Digital Transformation. While respondents recognized its theoretical value in areas such as strategic planning and data analysis, its actual application remained limited in critical clinical domains, particularly those related to diagnostic accuracy and the reduction of medical errors. The study therefore argues that achieving performance excellence in the health sector depends not only on strengthening participatory mechanisms and accountability frameworks, but also on strategically channeling AI investments toward clinical safety and operational efficiency.