Qiongqiong Zang

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About

Qiongqiong Zang is a pioneering researcher at the intersection of nursing science and healthcare robotics, whose work addresses critical workforce challenges in clinical settings. Her primary research areas include nursing workload optimization, human-robot collaboration in healthcare, and the integration of assistive technologies into patient care. Zang’s most impactful contribution is her two-phase study on nursing robots in general adult wards, which systematically identifies which care tasks can be performed by current robotic systems and quantifies their potential to replace up to a significant portion of nursing workload. This work, published in 2025 and already garnering 3 citations, provides evidence-based guidance for hospitals considering robotic implementation. By demonstrating that nursing robots can effectively reduce staff burden while maintaining care quality, Zang’s research offers a practical roadmap for addressing global nursing shortages. Her findings are particularly valuable for healthcare administrators and nursing leaders seeking to balance technological adoption with workforce sustainability. Zang’s work stands out for its rigorous methodology and direct clinical applicability, making her a key voice in the emerging field of robotic nursing assistance.