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Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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Blog
This blog highlights the approaches taken and experiences of state officials in Minnesota and North Carolina in developing COVID-19 immunization data systems, including data challenges, successes, and implications for ensuring an equitable vaccine rollout now and in the future.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
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Webinar
This webinar series focuses on the Community Information Exchange (CIE) Data Equity Framework, in which the goal is to build data systems to help institutions, and the communities they serve, approach CIE® planning and systems change work from a place of anti-racism. Part one of the series focuses on reviewing the CIE Data Equity Framework and part two focuses on examining the application of the framework across different systems including public health, social, philanthropy, and more.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Systematic Review/Meta-Analysis
This article explores how health data technology tools such as Artificial Intelligence (AI) and Machine Learning (ML) tools can be implemented and adapted to assist in better responses and outcomes to the COVID-19 pandemic, as well as future epidemics. This literature review focuses on peer-reviewed articles concerning four themes: COVID-19 and the need for AI; utility of AI in COVID-19 screening, contract tracing, and diagnosis; use of AI in COVID-19 patient monitoring and drug development; AI beyond COVID-19 and opportunities for Low-Middle Income Communities (LMIC). This review contains examples of ways healthcare systems have implemented AI and ML to predict and treat outcomes of COVID-19, as well as potential capacities for AI.