Utilizing Patient Data and AI to Develop Cost-Efficient Models for Chronic Disease Management in the U.S. Healthcare System
Abstract
This article explores the transformative potential of data analytics and artificial intelligence (AI) in developing cost-efficient models for managing chronic diseases, with a particular focus on respiratory conditions such as asthma and chronic obstructive pulmonary disease (COPD). It addresses the economic burden these diseases impose on the U.S. healthcare system and highlights the need for innovative, patient-centric solutions. The study investigates the application of patient data, including genetic information, lifestyle factors, and treatment outcomes, combined with advanced AI and machine learning techniques. Key sources and metrics such as emergency department visit reductions, hospitalization rates, and treatment adherence were analyzed to assess the effectiveness of AI-driven approaches. AI-driven models demonstrated significant potential in reducing hospitalizations and lowering overall treatment costs by enabling early interventions and tailored care strategies. Predictive analytics, in particular, was shown to be effective in identifying high-risk patients and mitigating exacerbations, contributing to better resource allocation and operational efficiency. The adoption of AI in chronic disease management could alleviate the financial strain on the U.S. healthcare system, promote equitable access to care, and enhance patient outcomes. However, challenges such as data privacy concerns, implementation costs, and regulatory hurdles must be addressed to realize its full potential. Future advancements in AI precision and real-time data integration hold promise for further revolutionizing respiratory disease management.
Keywords
Artificial Intelligence, Chronic Disease Management, Cost-Efficiency, Respiratory Diseases, Predictive Analytics, U.S. Healthcare, Patient Data, Machine Learning, Early Intervention, Economic Burden
Citations
IRE Journals:
Oluwatobi Anthonia Ogunfuye
"Utilizing Patient Data and AI to Develop Cost-Efficient Models for Chronic Disease Management in the U.S. Healthcare System" Iconic Research And Engineering Journals Volume 8 Issue 6 2024 Page 349-358
IEEE:
Oluwatobi Anthonia Ogunfuye
"Utilizing Patient Data and AI to Develop Cost-Efficient Models for Chronic Disease Management in the U.S. Healthcare System" Iconic Research And Engineering Journals, 8(6)
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