[HTML][HTML] Understanding the benefits and challenges of using large language model-based conversational agents for mental well-being support

Z Ma, Y Mei, Z Su - AMIA Annual Symposium Proceedings, 2023 - ncbi.nlm.nih.gov
Conversational agents powered by large language models (LLM) have increasingly been
utilized in the realm of mental well-being support. However, the implications and outcomes …

The state-of-the-art of patient portals: adapting to external factors, addressing barriers, and innovating

TL Reynolds, JG Cobb, BD Steitz… - Applied Clinical …, 2023 - thieme-connect.com
Background and Objective Recent external factors—the 21st Century Cures Act and the
coronavirus disease 2019 (COVID-19) pandemic—have stimulated major changes in the …

Data work and practices in healthcare: A scoping review

PS Bertelsen, C Bossen, C Knudsen… - International Journal of …, 2024 - Elsevier
Context In healthcare, digitization has been widespread and profound, entailing a deluge of
data. This has spurred ambitions for healthcare to become data-driven to improve efficiency …

Creating Safe Places: Understanding the Lived Experiences of Families Managing Cystic Fibrosis in Young Children

Z Su, SP Kamath, P Tirakitsoontorn… - Proceedings of the CHI …, 2024 - dl.acm.org
While previous HCI research has examined chronic care management for children, less is
known about supporting families with young children facing serious illnesses. We …