Papers
1
Total Citations
8
H-Index
1
About
Inki Kim is a pioneering researcher at the intersection of healthcare systems engineering and digital twin technology, with a primary focus on transforming clinical decision-making through advanced simulation. His most-cited work, "Digital-twin co-simulation framework to support informed decision in healthcare planning and management" (2024, 8 citations), introduces a groundbreaking proof-of-concept that integrates digital twins with discrete event co-simulation. This framework enables forward simulation of physical activities—such as care providers and robots interacting in an intensive care unit (ICU)—to optimize resource allocation and operational efficiency. By emphasizing modular integration, Kim’s research addresses critical challenges in healthcare planning, offering a scalable tool for real-time, data-driven management. His contributions are particularly impactful for students and researchers exploring cyber-physical systems, as they bridge the gap between theoretical simulation models and practical healthcare applications. Though early in its citation trajectory, this work has already garnered attention for its potential to reduce costs and improve patient outcomes. Kim’s achievements highlight a commitment to interdisciplinary innovation, positioning him as a key figure in the emerging field of digital twin-driven healthcare analytics.
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Top Papers
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