Generative AI for Healthcare: Enhancing Elderly Care Through Technical Innovation and Ethical Implementation
The aging population presents critical challenges to global healthcare systems, demanding innovative solutions to enhance personalized care, accessibility, and efficiency. This paper explores the application of generative AI in elderly healthcare, focusing on technical advancements, integration with emerging technologies, and adherence to ethical standards. Key contributions include a novel framework for integrating generative AI with Internet of Things (IoT) devices for real-time health monitoring and secure data sharing via blockchain. Quantitative simulations demonstrate reduced medication errors by 25% and improved patient adherence rates by 35%. This research aligns with IEEE's ethics guidelines and advances scalable solutions for diverse healthcare settings.
Authors
- Sky Eno
Institutions
- University of Massachusetts Boston (US)
Publication Details
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1109/evolution65010.2025.11044423
- Citations
- 1
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 2.37