Zhenjie Zhou

Papers

Total Citations

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About

Zhenjie Zhou is a researcher at the forefront of healthcare automation, with a primary focus on integrating Robotic Process Automation (RPA) into medical imaging workflows. His most-cited work, "Medical Imaging RPA System Design" (2023), addresses critical inefficiencies in radiology requisition processing, demonstrating how RPA can minimize human error, enhance operational efficiency, and create a seamless digital environment in clinical settings. By systematically analyzing existing manual labor dependencies, Zhou's research provides a blueprint for automating repetitive administrative tasks, freeing healthcare professionals to focus on patient care. While his citation count is currently modest, his work represents an early and impactful contribution to a rapidly growing field—one that promises to reshape hospital operations and reduce burnout among medical staff. Zhou’s research is particularly notable for its practical, systems-level approach, bridging the gap between software engineering and clinical radiology. As healthcare systems worldwide seek to modernize, his work stands as a foundational step toward fully automated, error-resistant medical imaging pipelines.