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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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Resource Overview

Population Health Management requires aggregating patient data from a number of sources, and conducting analytics and modeling to derive actionable insights that translate to increased patient engagement and improved outcomes.  Resources in this section describe data sources that are available to health centers, how to access and integrate them, and ways to enrich them with patient-provided data through health risk assessments and patient engagement technologies.

Getting and Using PHM and SDH Data

Integrating Social And Medical Data To Improve Population Health: Opportunities And Barriers

Article from Health Affairs

Abstract:

Recent efforts in medical settings to identify social determinants of health have focused primarily on screening for the purpose of improving care for individual patients and getting standardized data into electronic health records (EHRs). Relatively little attention has been given to processes needed to extract data on social determinants of health out of medical records with adequate validity and efficiency to facilitate analysis across individual encounters to inform population health efforts relevant to the health care sector. In this article we describe the rationale for extracting data on social determinants of health from EHRs, including the potential influence of aggregated data on quality improvement activities and health care payment reform. We then discuss opportunities and challenges to pulling these data from EHRs to enable population-level applications, focusing on the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, as one potential data aggregation resource.

Standardizing methods for extracting data on social determinants of health from EHRs will require understanding current challenges and refining existing translation tools.

Publication:

Laura Gottlieb, Rachel Tobey, Jeremy Cantor, Danielle Hessler and Nancy E. Adler, Integrating Social And Medical Data To Improve Population Health: Opportunities and Barriers, Health Affairs 35, no. 11 (2016): 2116-2123

The online version of this article, along with additional information is available at the link below.

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Acknowledgements

This resource collection was cultivated and developed by the HITEQ team with valuable contributions from the National Association of Community Health centers (NACHC) as well as HITEQ's Advisory Committee and many health centers who have graciously shared their experiences with HITEQ.

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