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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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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: 6/4/2024 12:00 PM - 1:00 PM Export event
HITEQ On the Horizon Series

HITEQ On the Horizon Series

Round Table Series

The HITEQ Center is planning a series of discussions about what is on the horizon-- this includes the people, processes, and technologies related to UDS+, environmental impacts and environmental determinants of health (EDoH), and Artificial Intelligence (AI). Each session will be interactive and engaging and include time for health center sharing. 
This series is open to community health centers throughout the nation. If you are from a health center and are interested in enhancing your understanding of UDS+ demographic and clinical quality measures, environmental impacts and EDoH, and/or AI , you should join this series! This might include EHR or IT staff, clinical or operations staff, leadership, quality and population health staff, and/or clinical staff. Registration for each session is below.

Final Session: Tuesday, June 4th, 2024 at 12:00 ET: What is the future of AI in Health Centers? Roundtable
Artificial intelligence (AI) has exploded in recent years, catapulting new forms of large language models and machine learning to the forefront including in healthcare. The rapid rise forces health centers to grapple with what possibilities AI offers, what is the right fit for the health center, how it can be equitably adopted, as well as what can be lost. There are key considerations for those in the safety net, in patient facing roles, and with limited resources. This session will encourage participants to think through all of this, and leave with a set of questions to be addressed before launching AI in your health center.

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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.