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The Quadruple Aim
Quadruple Aim

A Conceptual Framework

Improving the U.S. health care system requires four aims: improving the experience of care, improving the health of populations, reducing per capita costs and improving care team well-being. HITEQ Center resources seek to provide content and direction aligned with the goals of the Quadruple Aim

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Accessing Data for QI

As adoption of EHRs has increased, so have the concerns about ability to access the data needed to drill down into quality improvement efforts or even reporting requirements. Depending on the type of system being used, data may be cloud based, on a remote server, or on a local server. Further, data may be accessible through preprogrammed, ad hoc, or custom reports, but there may be greater challenges to accessing raw data or data that can be analyzed for quality improvement purposes. Resources in this section address these challenges and provide actionable information for accessing the data needed.

Accessing your Data
AI Fundamentals and Applications in Primary Care Live Webinar

AI Fundamentals and Applications in Primary Care Live Webinar

Wednesday, October 26 1 pm Eastern | 10 am Pacific

The Weitzman Institute and the Moses/Weitzman Health System are pleased to present the latest installment of our series of informative discussions with an exclusive panel of global experts driving the development of Artificial Intelligence (AI). April Joy Damian, PhD, MSc, CHPM, PMP, Vice President and Director of the Weitzman Institute will moderate this latest discussion, "AI Fundamentals and Applications in Primary Care," on Wednesday, October 26 at 1 pm Eastern| 10 am Pacific.  

This webinar will bring together industry AI leaders with an evidence-based applied perspective on using AI in primary care to:

  • Understand AI history, definitions, methodology, benefits, and healthcare use cases
  • Explore the most common and validated use cases in primary care
  • Examine implications of AI in promoting health equity and improving healthcare access and outcomes
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Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.