Predictive Analytics in Healthcare: Enhancing Patient Outcomes with AI
Abstract
This paper explores the implementation of predictive analytics in healthcare using artificial intelligence (AI). By analyzing large datasets from electronic health records (EHRs), AI algorithms can predict patient outcomes, disease progression, and potential complications. The study highlights several case studies where predictive analytics have successfully improved patient care and reduced hospital readmissions. Additionally, the paper discusses the ethical considerations and challenges in integrating AI into clinical workflows, emphasizing the need for transparent and interpretable models to gain trust from healthcare professionals and patients alike.
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