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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

Successful use of Health IT enabled Quality Improvement requires a strong organizational foundation. This includes understanding motivating factors as well as barriers, communicating the value of using Health IT to improve quality and outcomes, and building buy in and commitment throughout all levels of the organization. Resources in this section provide ideas and guidance on how to navigate this critical first step.

Building a Data-Driven Culture: Video Learning Series and Case Study

Building a Data-Driven Culture: Video Learning Series and Case Study

From the Center for Care Innovations

What does a data-driven culture mean? According to this case study from the Center for Care Innovations (CCI), it means staff at all levels use data to inform and guide clinical, operational and financial decisions. They understand the difference between qualitative and quantitative data and the role that each plays in decision making. They can relate their daily activities to the bar charts, dashboards and other performance visualizations that are displayed in the health center or in staff meetings, and there is a transparent process for prioritizing analytic efforts and data access. In a data-driven organization, leaders and staff embrace data.

No matter how new payment and care models evolve, the organizations that take the best care of patients in the most cost effective way will thrive. When clinical outcomes must be balanced with operational efficiency, a data driven culture can mean the difference between a good healthcare organization and an outstanding one. CCI’s Safety Net Analytics Program (SNAP) supported participants in developing and spreading an awareness of the critical importance of data and analytics throughout their organizations.

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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.