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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: 12/18/2018 3:00 PM - 4:00 PM Export event
Developing a Data Dashboard for PRAPARE Data

Developing a Data Dashboard for PRAPARE Data

HITEQ Highlights

Health centers are interested in using social determinants data to manage and improve the health of their patient population and community, and are at different places on the population health management (PHM) and social determinants of health (SDH) adoption curve. The Protocol for Responding to and Assessing Patients’ Assets, Risks, and Experiences (PRAPARE) is a national effort to help health centers and other providers collect the data needed to better understand and act on their patients’ social determinants of health. In this webinar, the Colorado Community Managed Care Network (CCMCN), a Health Center Controlled Network (HCCN) highlighted a Tableau data dashboard that they developed to help their health centers make decisions on population health management. They discussed the rationale for developing the tool, challenges and facilitators to integration, and how their health centers benefit from data sharing across Tableau.

 

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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.