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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
Event date: 5/16/2023 2:00 PM - 3:30 PM Export event
Jodie Albert

Learning to Love Your Data: Health Center Data for Everyone - Session 4 - Data Viz Best Practices

HITEQ Webinar Series

So, you’re not a statistician? Not a data scientist either? Great! This webinar series is for the data creators, data generators, data users, data reviewers, and others who work with their health center data each day. If you’re a data lover and you know the information you have in your health center has an important story to tell, this series will provide you with the tools and techniques to create and share insights that will drive genuine change in your health center. Fostering a data-driven culture links directly to improvements in patient care, staff and provider satisfaction, and business imperatives, allowing us to make meaning out of our daily data demands.

Session 4 - Data Viz Best Practices
It’s time to learn how to apply the concepts covered in this series-- from building better graphs to designing more meaningful dashboards, this session is going to walk through best practices, before and afters, and more so you leave knowing the best practices that you should apply to your next data project.

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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.