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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
Demystifying Predictive Analytics

Demystifying Predictive Analytics

Factsheet on Predictive Analytics for Health Centers

This one-page brief outlines the basics of this complex topic. We define predictive analytics and describe how health centers are adopting this innovation. Sources and uses of data for making predictions are discussed, and specific applications of predictive analytics are described.  Specific health center examples are offered to illustrate the potential of predictive analytics for health centers.

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Intended AudienceHealth Center Leadership; Health Center QI staff; Health Center IT Staff; Health Center Administration; Health Center Analytics Staff

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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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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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