Jung-Hsien Chiang

National Cheng Kung University

Papers

2

Total Citations

12

H-Index

2

About

Jung-Hsien Chiang is a researcher working at the intersection of healthcare technology, robotics, and chronic disease management, with a particular focus on diabetes care and community health interventions. Chiang's most notable contributions center on the development and evaluation of robot-enhanced healthcare systems designed to support middle-aged and older adults living with type 2 diabetes in community settings, including community pharmacies. A key aspect of Chiang's work is the application of user-centered design principles to healthcare robotics, ensuring that technological solutions are both practical and accessible for patients and healthcare providers alike. Their 2022 mixed-method study evaluating robot-assisted diabetes care among community patients and pharmacists demonstrated early real-world feasibility of such systems, garnering 10 citations and laying groundwork for broader adoption. Their subsequent 2025 usability study on prototype development further illustrates a commitment to iterative, human-focused innovation. Chiang's research addresses a critical gap in chronic disease self-management by exploring how intelligent robotic tools can complement traditional pharmacy and community health services. Their work holds meaningful implications for healthcare accessibility, particularly for aging populations managing complex conditions like diabetes, making them an emerging contributor to the digital health and health informatics fields.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robot-enhanced diabetes care for middle-aged and older adults living with diabetes in the community: A small sample size mixed-method evaluation
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: National Cheng Kung University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago