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- Title
A Two-Echelon Responsive Health Analytic Model for Triggering Care Plan Revision in Geriatric Care Management.
- Authors
Tang, Valerie; Lam, H. Y.; Wu, C. H.; Ho, G. T. S.
- Abstract
Due to the increasing ageing population, how can caregivers effectively provide long-term care services to meet the older adults' needs with finite resources is emerging. In addressing this issue, nursing homes are striving to adopt smart health with the internet of things and artificial intelligence to improve the efficiency and sustainability of healthcare. This study proposed a two-echelon responsive health analytic model (EHAM) to deliver appropriate healthcare services in nursing homes under the internet of medical things environment. A novel care plan revision index is developed using a dual fuzzy logic approach for multidimensional health assessments, followed by care plan modification using case-based reasoning. The findings reveal that EHAM can generate patient-centred long-term care solutions of high quality to maximise the satisfaction of nursing home residents and their families. Ultimately, sustainable healthcare services can be within the communities.
- Subjects
ARTIFICIAL intelligence; SMART cities; ADULT day care; OLDER people; CAREGIVERS; CASE-based reasoning; NURSING home patients; LONG-term health care; ELDER care
- Publication
Journal of Organizational & End User Computing, 2022, Vol 34, Issue 4, p1
- ISSN
1546-2234
- Publication type
Article
- DOI
10.4018/JOEUC.289224