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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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Accessing Data for QI

As adoption of EHRs has increased, so have the concerns about ability to access the data needed to drill down into quality improvement efforts or even reporting requirements. Depending on the type of system being used, data may be cloud based, on a remote server, or on a local server. Further, data may be accessible through preprogrammed, ad hoc, or custom reports, but there may be greater challenges to accessing raw data or data that can be analyzed for quality improvement purposes. Resources in this section address these challenges and provide actionable information for accessing the data needed.

Accessing your Data
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.