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Western Governors University 3 credits Health
Artificial Intelligence-Driven Health Data Exchange and Decision Analytics introduces learners to the use of artificial intelligence, interoperability strategies, and data analytics within health information management (HIM) environments. The course examines the strategic and operational impact of AI technologies, secure health data exchange, and data visualization in healthcare organizations. Learners will evaluate AI governance considerations, assess interoperability standards and data exchange requirements, and apply analytics tools to create visual displays that communicate actionable healthcare insights for organizational decision-making. Emphasis is placed on applied decision-making and professional judgment in authentic healthcare scenarios, consistent with CAHIIM 2026 standards and Miller's Pyramid "Does" level expectations.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.