| Sumario: | This article focuses on the emerging ethical challenge of integrating artificial intelligence (AI) into healthcare workflows beyond traditional concerns about algorithmic performance, bias, and privacy. It argues that ethical evaluation must consider how AI tools influence decision-making processes, behaviors, and outcomes within complex healthcare delivery systems, emphasizing the need for workflow integration ethics. The discussion highlights that AI functions as part of sociotechnical systems, requiring healthcare organizations to monitor and govern AI’s operational impacts continuously, including transparency, accountability, and human-AI collaboration. The article calls for incorporating principles from implementation science and organizational governance to ensure responsible deployment and oversight of AI in clinical and research settings.
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