Skip to main content
Rui Xu

Mr Rui Xu

(he/him)

Teams and roles for Rui Xu

Overview

Rui Xu is a second-year PhD student in Operations Management. His research explores the application of emerging technologies—particularly large language models (LLMs)—in healthcare contexts such as online health services (OHSs). From a managerial perspective, his work aims to contribute to the development of health systems that are more efficient, cost-effective, safe, and intelligent.

His current research investigates how LLMs can enhance both the overall workflow and the individual stages of OHSs, demonstrating that hybrid intelligence (i.e., integrating human expertise with AI capabilities) plays a crucial role in enabling effective and trustworthy digital health delivery. Building on these insights, his forthcoming work will focus on a specific stage of the OHS pathway, where he aims to design a hybrid intelligence framework that combines LLM-driven decision support with expert judgement to improve accuracy, safety, and user experience in real-world digital healthcare settings.

Supervision team

Research

Rui Xu is passionate about leveraging artificial intelligence and management methods to enhance the efficiency of health systems and support their digital transformation. Additionally, he has a strong interest in digital platforms and information systems.

Biography

  • 2024: Ph.D., Business Studies, Cardiff University, UK.
  • 2023: M.Sc., Finance, Guanggong University of Technology, China.
  • 2020: B.Sc., Mechanical Engineering, Tianjin University, China.

Honours and awards

  • 2022, China National Scholarship of Postgraduate.

Professional memberships

  • Student Member, The Operational Research Society (The OR Society)

Committees and reviewing

  • Reviewer: International Journal of Health Policy and Management (JCR SCI & SSCI Q1)
  • Reviewer: BMC Medical Informatics and Decision Making (JCR SCI Q2)
  • Reviewer: BMC Health Services Research (JCR SCI Q2)

Contact Details

Specialisms

  • Information systems
  • Artificial intelligence
  • Decision making
  • LLMs
  • Operations research