Hyobum Jang

World Health Organization

Papers

1

Total Citations

96

H-Index

1

About

Hyobum Jang is a rising scholar at the intersection of gerontology, digital health, and artificial intelligence. Their research focuses on how AI-enhanced interventions can transform long-term care (LTC) for older adults, with a particular emphasis on evaluating both the acceptability and clinical effectiveness of these technologies. Jang’s most-cited work, a 2022 systematic review on AI for older people receiving LTC, has already garnered 96 citations, reflecting the field’s urgent need for evidence synthesis. This study systematically mapped a developmental research landscape, identifying critical gaps and promising directions for AI applications in aging care. By rigorously assessing user acceptance alongside health outcomes, Jang provides a balanced framework for integrating technology into vulnerable populations’ daily lives. Their contributions are especially timely as healthcare systems worldwide grapple with aging demographics and workforce shortages. Jang’s work not only advances academic understanding but also offers practical guidance for policymakers and care providers seeking to responsibly deploy AI in LTC settings. With this foundational review setting the stage, Hyobum Jang is positioned to become a key voice in the responsible digital transformation of geriatric care.

Research Focus

Key Achievements

1
H-Index
1
Papers
96
Total Citations
96
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence for older people receiving long-term care: a systematic review of acceptability and effectiveness studies
96 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: World Health Organization

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago