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.

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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
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article

Generative AI for Healthcare: Enhancing Elderly Care Through Technical Innovation and Ethical Implementation

Sky Eno
1 citations
Ethics and Social Impacts of AI
2.37
article

Generative AI for Healthcare: Enhancing Elderly Care Through Technical Innovation and Ethical Implementation

Sky Eno
article en
1 citations

Abstract

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.

University of Massachusetts Boston (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Ethics and Social Impacts of AI
2.37
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