Data Analytics and Visualization in Health Care


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The healthcare industry is undergoing a significant transformation due to the impact of big data, with a focus on improving the quality of care and reducing costs, which are crucial goals for most organizations. As a result, employers are actively seeking professionals who possess the skills to extract, analyze, and interpret data from various sources such as patient health records, insurance claims, and financial records. These professionals are expected to use healthcare data analytics to effectively communicate compelling and actionable insights.

This course begins by examining key components of the U.S. healthcare system in relation to data and analytics. While the focus is on the U.S., the topics covered will also be relevant and relatable to learners from around the world, who will have the opportunity to compare and contrast with their own country’s healthcare system.

With a solid understanding of the industry context, the course delves into the role of health informatics and health information technology in evidence-based medicine, population health, clinical process improvement, and consumer health.

Building upon this foundation, the course outlines the essential components of a successful data analytics program in healthcare. It emphasizes the importance of data quality and standardization as the driving forces behind clinical improvement and innovation, establishing a “virtuous cycle” of continuous improvement.

The course concludes with a comprehensive exploration of how visualizations harness the power of data to convey a compelling and actionable story. Learners will develop an awareness of various visualization tools and their features, while also gaining familiarity with a range of analytic tools.

By completing this course, participants will be equipped with the knowledge and skills necessary to navigate the dynamic field of healthcare data analytics, enabling them to make informed decisions and drive positive change within their organizations.

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