Digital twin applications in healthcare for people living with disability
Digital twin technology offers transformative potential for disability healthcare, enabling personalised, predictive, and preventive care models. Successful implementation requires addressing technological, ethical, and accessibility challenges whilst ensuring equitable access for diverse disability populations. Critical research priorities include large-scale clinical trials, cost-effectiveness analyses, longitudinal outcomes studies, and ethical frameworks balancing surveillance concerns with care benefits.
Authors
- Saria Almarzook
- David B. Olawade (ORCID: https://orcid.org/0000-0003-0188-9836)
- Muyiwa Ademola Ogunbona
- Olabanke Florence Olawuyi
- Babajide David Makanjuola
- Ojima Z. Wada
Institutions
- University of East London (GB)
- University of Ibadan (NG)
- University of Calabar (NG)
- Hamad bin Khalifa University (QA)
- Department of Health Services (US)
- Sheffield Hallam University (GB)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2026-02-18
- DOI
- https://doi.org/10.1016/j.ijmedinf.2026.106359
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00