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Upcoming Events
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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Overview

Validating data from Health IT systems is the cornerstone of effective Health IT Enabled QI. Ensuring that Health IT-generated reports and data reflect an accurate picture of the care and outcomes of your population ensures that data is actionable for quality improvement, monitoring as well as many other purposes. This validation must be ongoing as system , provider, workflow, and other changes, can all impact accuracy of data. This section provides worksheets, guides, and tips for validating data.

Data Accuracy Resources
Event date: 5/23/2023 2:00 PM - 3:30 PM Export event
Jodie Albert
/ Categories: Health IT Enabled QI, Communicating with Data, Webinars

Learning to Love Your Data: Health Center Data for Everyone - Session 5 - Applying Data Viz in Your Clinic

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 5 - Applying Data Viz in Your Clinic
This final session will be all about applying data viz best practices in your clinic every day. You’ll have the opportunity to submit your data viz questions and challenges specific to your setting and hear from experts about data viz in health care.

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Tags: Data Visualizationhealth centers

Documents to download

Resource Links

Related Resources

Acknowledgements

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