Healthcare Models and Applications

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This cluster focuses on advancing research and innovation at the intersection of engineering, data science and healthcare delivery. Efforts include developing analytical models, computational tools and system-level solutions to improve patient outcomes, streamline clinical workflows and support evidence-based decisions. Areas of focus include health systems engineering, medical data analytics, population health modeling and technology-enabled care design. Through interdisciplinary collaboration and partnerships with providers, students and researchers address real-world challenges in access, quality and efficiency.

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