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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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Health IT & QI Workforce Professional Development
Learning to Love your Data

Learning to Love your Data

HITEQ Webinar Series

This webinar series was hosted 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.
 

Overview of Series

This series is designed for anyone who interacts with health center data, including those tasked with entering data into the EHR, interpreting data from the system, communicating with data for process or quality improvement, using data to inform population health, and more. This includes clinicians and other members of the care team, quality improvement, analysts, business intelligence staff, and leadership.
 

April 18, 2023: Session 1 - Beyond the Bar Chart: Blending Data and Storytelling

Looking up articles about communicating data, you're likely to find many reflections on how to tell stories with data when crafting data visualizations. Effectively blending data, visualization, and storytelling together can take many different formats though depending on your audience and your goal. During this workshop, participants learned about the research behind why stories can make information more memorable, how to balance data and narrative in different contexts, and some of the sticky challenges we face as designers when incorporating storytelling in the context of healthcare where privacy, ethical representation of the people behind the numbers, and issues of misinformation are critical considerations. The presenter walked through practical examples of how to tell 'short stories' through annotations and headlines and larger endeavors of blending individual stories like qualitative interview data with quantitative visualizations. You'll leave with ideas you can apply in your own efforts communicating data and recommended resources for exploring the intersection of data and storytelling. Watch this session here.
 

April 25, 2023: Session 2 - Data Equity Primer

This introduction delved into what data equity is, how inequity sneaks into all of our projects, and what we can do about it. Leave this “super briefing” able to have productive conversations about the real core of data equity issues, pushing past the distractions and the confusion. Participants dug into equity and data with both hands! Watch this session here.
 

May 2, 2023: Session 3 - Data Governance and Literacy

Good data is hard to come by-- particularly without a solid foundation of data governance and data literacy within your health center. Good data governance supports improved data quality, increased data literacy, and critically, maximized data use. This session will teach participants to understand how to get a handle on what can seem like an overwhelming amount of data and harness it for improved care and strategic decision making. Watch this session here
 

May 16, 2023: 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 walked through best practices, before and afters, and more so you leave knowing the best practices that you should apply to your next data project. Watch this session here.
 

May 23, 2023: Session 5 - Applying Data Viz in Your Clinic

This final session was all about applying data viz best practices in your clinic every day. Participants had the opportunity to submit data viz questions and challenges specific to their setting and hear from experts about data viz in health care. Watch this session here.

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Acknowledgements

This resource collection was compiled by the HITEQ staff with portions contributed by Chris Espersen, HITEQ Advisory Committee member and Independent Contractor and Past President of Midwest Clinicians Network; Shane McBride, Independent Contractor and Past Vice President of Quality and Clinical Systems at South End Community Health Center; Chris Grasso, Associate Director for Informatics & Data Services- The Fenway Institute; and Ed Phippen, Principal - Phippen Consulting, LLC.