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Integrating Data Science into Healthcare Decision-Making Processes
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Zitationen
1
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2025
Jahr
Abstract
The integration of data science into healthcare decision-making is revolutionizing clinical practices, patient outcomes, and operational efficiency. By leveraging big data analytics, artificial intelligence (AI), and machine learning (ML), healthcare providers can enhance diagnostics, optimize treatment plans, and predict disease outbreaks. This paper explores the role of data science in healthcare decision-making, covering key applications such as predictive analytics for disease prevention, AI-powered medical imaging, and personalized medicine. Additionally, challenges such as data privacy, model interpretability, and ethical concerns are discussed, along with emerging trends in AI-driven healthcare solutions.
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