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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

Through the data validation process, valuable information is gained that can then be used to improve performance around patient care or quality of care metrics.  Improving quality performance may take the form of improving data collection processes, better identifying patients who need additional interventions, or decreasing missed opportunities to provide patients appropriate interventions, among other possibilities. This section includes guidance on leveraging Health IT to improve quality performance including change packages for recommended approaches related to various quality of care measures.

Improving Performance Resources
Event date: 5/2/2024 12:00 PM - 1:00 PM Export event

On the Horizon: UDS+ and Race, Ethnicity, and Language Collection

HITEQ Roundtable 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,This might include EHR or IT staff, clinical or operations staff, leadership, quality and population health staff, and/or clinical staff.

Session 1: Tuesday, May 2nd, 2024 at 12:00 ET: UDS+ and Race, Ethnicity, and Language Collection Roundtable

The Community Health Care Association of New York State and Sun River Health, a health center in New York, joined the HITEQ Center for a discussion on UDS+ and the collection of granular race, ethnicity, and language (REaL) data. Sun River Health shared their experience collecting REaL data, including how they've updated and optimized systems, tracked their data, and addressed challenges.

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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.