Prioritizing nurse-patient relationships in the digital transformation of nursing: A discussion paper

Healthcare is undergoing rapid digital transformation, with artificial intelligence (AI), automated documentation, and predictive analytics now integrated into clinical workflows. These technologies promise to reduce administrative burden and expand nursing capacity. Yet system-level incentives often redirect reclaimed time toward increased patient throughput rather than toward restoring the essence of nursing: human presence at the bedside. As nursing confronts severe workforce shortages, burnout, and moral distress, the strategic allocation of time liberated by technology may determine both the future of the profession and the safety of healthcare delivery. Evidence demonstrates that high-quality nurse-patient communication correlates with improved patient satisfaction, reduced adverse events, enhanced treatment adherence, and better emotional wellbeing. Recent studies document that AI-enabled documentation can reduce charting time by approximately 25-50%, saving nurses considerable minutes per shift. However, this efficiency dividend is at risk of being captured by organizational productivity metrics rather than reinvested in the therapeutic relationship. This commentary calls on policymakers, health system leaders, and nursing executives to redefine organizational metrics of success in digital transformation initiatives. The measure of technological progress should not be the number of additional patients nurses can absorb, but rather the quality of care nurses are finally empowered to deliver. We propose a leadership agenda that protects and prioritizes the human moment as a strategic resource, ultimately improving patient outcomes, nurse wellbeing, and organizational sustainability.