Beginner

In 2024, an AI summit convened to address practical applications of AI in population health, AI tools and frameworks that can improve the health of the public, plus equity and ethical considerations of AI in the health sciences. Hear from these partners from across academia, government, public health practice, and the private sector discuss artificial intelligence in public health and the health sciences.

Association of State and Territorial Health Officials (ASTHO) informatics and innovation leaders gathered to introduce Artificial Intelligence (AI) and its potential applications in state and territorial public health.

This webinar, hosted by the Northwest Center for Public Health Practice, introduces generative artificial intelligence (GenAI) topics and the role GenAI plays in enhancing or hindering the work to improve population health. Includes a live demonstration with tools such as ChatGPT.

This module is the third in a three-part series that is designed to help you use data to identify and address population health disparities. This module explains how data visualization techniques can help you communicate health information and tell a story to different audiences.

The course covers key components of public health informatics, the role of the informatician in public health practice, and the difference between the application of informatics and information technology in public health.

This webinar presents the development of predictive modeling to provide actionable information for decision makers. Presented June 12, 2023.

This webinar describes a framework for finding novel data sources with an example of applying Medicaid data to public health surveillance. Presented May 23, 2023.

In this webinar, developed in partnership between the Washington State Department of Health and the University of Washington School of Public Health, learn how informatics is changing public health in Washington state.

This webinar introduces data science principles and how they intersect with public health challenges to gain actionable insights. Presented April 26, 2023.

This webinar defines data science in the context of public health and illustrates the strengths, weaknesses, and practical applications of predictive models in public health.