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Overview

Validating data from Health IT systems is the cornerstone of effective Health IT Enabled QI. Ensuring that Health IT-generated reports and data reflect an accurate picture of the care and outcomes of your population ensures that data is actionable for quality improvement, monitoring as well as many other purposes. This validation must be ongoing as system , provider, workflow, and other changes, can all impact accuracy of data. This section provides worksheets, guides, and tips for validating data.

Data Accuracy Resources

SDOH Data Dashboards Module 1: Introduction to SDOH Dashboard Design

HITEQ SDOH Data Dashboards Series

The Social Determinants of Health Data Dashboards training is a four-module series, this is the first of the four modules. Modules range from about 8 minutes to 12 minutes in length. This module provides an introduction to the role of screening and collecting data on social determinants of health, identifying social determinants of health measures and using data effectively, and assessing organizational data dashboard capability. Subsequent modules provide beginner, intermediate and advanced level considerations and examples for social determinants of health data dashboards. View Module 2, Module 3, and Module 4 in the Resource Links section below.

 

 

Documents to download

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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.

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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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