Papers
1
Total Citations
6
H-Index
1
About
Ilha Yune is an emerging researcher at the intersection of healthcare informatics and process automation, with a primary focus on optimizing hospital information systems through robotic process automation (RPA). Her most-cited work, "Applying Robotic Process Automation to Monitor Business Processes in Hospital Information Systems: Mixed Method Approach" (2025, 6 citations), addresses the growing complexity of electronic medical records (EMRs) driven by advances in artificial intelligence, the Internet of Things, and cloud services. Yune’s major contribution lies in demonstrating how RPA can streamline clinical workflows, reduce administrative burdens, and improve data accuracy in healthcare settings—a critical need as digital health systems expand. By employing a mixed-method approach, she bridges technical implementation with real-world usability, offering practical insights for process reengineering. Though early in her career, her work signals a promising trajectory in health IT, with potential to influence how hospitals adopt automation for better patient outcomes. Yune’s research is particularly valuable for students and practitioners seeking to understand the human and technical dimensions of digital transformation in medicine.
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