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From Data to Decisions: Harnessing AI and Learning Health Systems

From Data to Decisions: Harnessing AI and Learning Health Systems

Faculty in clinical, research, and educational roles often face challenges in integrating artificial intelligence (AI) into workflows because of limited foundational knowledge, ethical concerns, and insufficient exposure to practical tools that enhance efficiency and innovation. This series aims to bridge the gap between theoretical knowledge and real-world clinical practice, promote the use of research tools such as literature review automation and data analytics, and advance the application of AI-driven educational methods synergistically with the Learning Health System. By focusing on practical applications, ethical challenges, and future innovations, the series seeks to break down barriers to the implementation of AI and to foster innovation and collaboration.

Credit & MOC Details

Credit information is provided by the course provider. We recommend confirming credit eligibility with the provider or your licensing board before starting the activity.