by Jack Ng Kok Wah
ABSTRACT
The study explores how AI, robotics, and telemedicine are transforming elderly care to address the growing demands of aging populations, particularly in resource-limited settings. By 2050, the elderly population is expected to reach two billion, posing significant healthcare challenges. The study examines the synergies between these technologies, proposing an integrated elderly care model. Using systematic eligibility criteria, recent peer-reviewed studies were analyzed, focusing on healthcare accessibility, quality, and sustainability. AI enhances predictive analytics and personalized care, robotics improves mobility and social interaction, and telemedicine expands healthcare access. A systematic review was conducted using PRISMA and CASP criteria. Findings highlight both the benefits and challenges of these technologies, such as privacy concerns and digital literacy barriers. The review concludes that integrating AI, robotics, and telemedicine can improve health outcomes and reduce healthcare disparities among aging populations. However, limitations exist in generalizing findings across different healthcare systems, necessitating further research. Cross-disciplinary collaboration and supportive policies are crucial for ensuring global accessibility and sustainability. The study provides a framework for leveraging technology to create effective, person-centered elderly care solutions that enhance quality of life and address healthcare inequities worldwide.KEYWORDS: Digital Health Solutions, Social Robot Technology, Artificial Intelligence, Geriatric Health Technologies, Aging Populations.
