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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

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
Using Health Technology to Improve Performance on Clinical Quality Measures
HITEQ Center

Using Health Technology to Improve Performance on Clinical Quality Measures

Experiences of HealthNet of Indianapolis, Winner of HIMSS Davies Community Health Organization Award

According to HealthNet's Case Study for their 2015 HIMSS Davies Award:

HealthNet’s mission is to improve lives with compassionate health care and support services, regardless of ability to pay. The organization was established in 1968 to provide much needed services to central Indiana’s inner-city neighborhoods. Through a network of health, dental, school-based and homeless sites, HealthNet provides care to more than 59,286 patients annually. In 2009, we began our journey to adopt electronic medical records (EMR) to improve patient care, clinical documentation and billing practices after choosing eClinicalWorks as our vendor. Using a phased approach to EMR “Go Lives”, it took almost 2 years to fully implement the EMR at all locations. Upon completion of the Go Live project at medical sites in 2011, HealthNet focused on using the new electronic technology to develop templates and reports and redesign workflows to improve performance on a selected set of clinical quality measures, which had previously been stagnant and far below national averages. After project implementation, improvements on the selected measure sets were dramatic, ranging from 4% improvement on measures that were already being done well, to 181% improvement on the lowest performing measures at baseline.

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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.