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Home / Archives / Volume-6 / Issue-4 / Article-7

Volume - 6 | Issue - 4 | december 2024

Innovative AI Applications in Healthcare: Integrating SDOH, EHRs, Multi-Omics Data, and Resource Optimization Models for Geriatric Chronic Care Open Access
Sai Sathish Kethu  , Durai Rajesh Natarajan, Swapna Narla, Dharma Teja Valivarthi, Sreekar Peddi  109
Pages: 401-417
Cite this article
Kethu, Sai Sathish, Durai Rajesh Natarajan, Swapna Narla, Dharma Teja Valivarthi, and Sreekar Peddi. "Innovative AI Applications in Healthcare: Integrating SDOH, EHRs, Multi-Omics Data, and Resource Optimization Models for Geriatric Chronic Care." Journal of Information Technology and Digital World 6, no. 4 (2024): 401-417
Published
11 February, 2025
Abstract

The increasing elderly population calls for creative approaches to healthcare. To improve elderly patients with chronic conditions health outcomes, optimize resource utilization, and provide more individualized care, this study proposes an AI-driven framework that integrates Social Determinants of Health (SDOH), Electronic Health Records (EHRs), Multi-Omics Data, and Resource Optimization Models. This strategy fixes systemic inefficiencies and guarantees scalable, affordable, and equitable geriatric care by utilizing AI. With 94% accuracy, 95% F1 score, and 92% scalability, the suggested model outperforms conventional techniques. By addressing gaps in the use of clinical and non-clinical data and enhancing the management of chronic diseases, this integration transforms geriatric healthcare.

Keywords

AI Geriatric Care SDOH EHRs Multi-Omics Resource Optimization Chronic Disease Management

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