Artificial Intelligence in Healthcare: A Holistic Approach for Successful, Human-Centered Implementation

Abstract

The integration of Artificial Intelligence (AI) in the healthcare sector represents a major transformation that raises complex issues concerning the technical, organizational, and relational dimensions of the profession. This contribution analyzes the key success factors and obstacles to the implementation of AI in healthcare facilities, adopting a holistic perspective that emphasizes communicational and interprofessional dynamics. Through an analysis of recent literature, we identify promising approaches and necessary conditions for successful AI integration, while preserving the quality of caregiver-patient relationships and interactions among professionals. Our analysis reveals that successful implementation relies on a balanced combination of leadership, end-user training, support for teams in modifying their daily work, and ethical governance. The central role of communication in this transformation process is emphasized, both in change management and in the adaptation of professional practices. We propose recommendations that integrate these different dimensions to guide the development and implementation of AI projects in healthcare, focusing on preserving and enriching human relationships within healthcare organizations.

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