The development of digital technologies for elderly care, such as computational prediction models and digital interventions, is an exciting and rapidly evolving field within geriatric psychiatry. These advancements have the potential to overcome conventional barriers in the delivery of effective healthcare for older adults. However, despite their promising potential, the implementation of these technologies in real-world clinical practice still faces numerous challenges.
One major obstacle is the lack of algorithm transparency and limited interpretability associated with these digital tools. Addressing this issue is crucial for the successful integration of digital technologies into clinical settings.
This research topic aims to explore the current application of digital technology in clinical practice for older adults. Specifically, we will delve into how these technologies can aid in understanding the underlying mechanisms behind cognitive and psychological disorders, provide personalized predictions, and improve prognostication. The articles will also highlight how these innovative digital approaches can extend beyond the delivery of treatment, offering new insights into the complexities of the brain and the mind.
- Digital therapeutics for mental, neurological, and behavioral health of older adults
- Evidence-based software and/or hardware products that measure and/or intervene in health services
- Capture, storage, and display of data and information
- Consolidated framework for implementation research and implementation strategies
- Integration of digital technology into health and social care systems
- Strategies for bridging the digital divide in the world, both offline and online.
- Submission deadline: rolling submission
- Accepted manuscripts will first be published in a regular issue, and will then be included in an article collection once the required number of articles has been reached.
Please read the Guide for Authors before submitting. All articles should be submitted online via the online submission system; please select the RT: Digital solutions for cognitive and psychological disorders among older adults on submission. You can contact the Guest Editors with specific inquiries on this research topic. Manuscripts will benefit from rapid peer review.
Associate Prof. Jiang Nan
Tsinghua University, Beijing, China. Email: email@example.com
Associate Prof. Yean Wang
Beijing Normal University, Beijing, China. Email: firstname.lastname@example.org
Prof. Ada Chan Yuk-Sim Mui
Columbia University, New York, USA. Email: email@example.com