QUN MENG

Overview

QUN MENG is an academic researcher affiliated with Electrical Engineering, specializing in big-data, data-management, and digital-health. Their work focuses on the intersection of data-enabled intelligence and regional health informatics, particularly within the context of china.

Selected Works

2019: Data Governance in Regional Health Informatics

• Reference: Li - A Framework for Big Data Governance to Advance RHINs A Case Study of China
• Context: Part of the Special Section on Data-Enabled Intelligence for Digital Health, published by Springer in IEEE Access (March 11, 2019).
• Co-Authors: Quan Li, Lan Lan, Nianyin Zeng, lei-you, jin-yin, xiaobo-zhou.
• Core Contributions:
  • Proposes a framework for big data governance to advance Regional Health Information Networks (RHINs).
  • Addresses challenges posed by the fast growth of regional health informatics and the emergence of big data.
  • Focuses on health Informatization strategies in China.
• Key Topics: data-management, Healthcare, china, rhins, Framework.
• DOI: 10.1109/ACCESS.2019.2910838

Research Interests

• big-data governance frameworks
• digital-health and Health Informatics
• Regional Health Information Networks (RHINs)
• Data-enabled intelligence systems