Si Ying Tan

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About

Si Ying Tan is an emerging researcher whose work sits at the intersection of health policy, technology governance, and long-term care. Her research focuses on how governments and healthcare systems can effectively navigate the adoption of artificial intelligence-driven technologies — particularly robotics and autonomous systems — in care settings facing significant workforce pressures. Drawing on Singapore as a developmental case study, Tan examines the policy capacities required at individual, organisational, and system levels to translate technological promise into practical impact, offering insights relevant to aging societies worldwide grappling with similar manpower shortages. Her 2025 publication on AI adoption in long-term care, already accumulating early citations, signals growing scholarly interest in her framework-building approach to technology governance in healthcare. By grounding her analysis in a real-world policy context, Tan bridges the gap between abstract technology discourse and actionable implementation strategies for policymakers and care administrators. Her work is particularly timely as governments globally race to harness AI solutions for eldercare without fully understanding the institutional prerequisites for success. Researchers and students working in health systems, public administration, or digital health transformation will find her contributions both theoretically rigorous and practically instructive.