Hao‐Yuan Chang

Papers

Total Citations

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About

Hao-Yuan Chang is a leading scholar in nursing and healthcare technology, whose research centers on the intersection of robotics, professional task engagement, and workforce retention. His most-cited work, "How Robots Help Nurses Focus on Professional Task Engagement and Reduce Nurses’ Turnover Intention" (2021, 44 citations), is a landmark two-wave study conducted in a large Taiwanese hospital. This paper demonstrates how robotic assistance can reduce nurses’ nonprofessional task burdens, allowing them to concentrate on meaningful clinical work, thereby lowering turnover intention. Chang’s contributions are pivotal in addressing the global nursing shortage by providing evidence-based strategies for integrating automation into healthcare settings. His research not only highlights the practical benefits of robotics in enhancing job satisfaction but also offers actionable insights for hospital administrators and policymakers. With a growing citation impact, Chang is recognized as a key voice in the future of nursing workforce sustainability and human-robot collaboration in healthcare.