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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
The ACO Conundrum
John Snow, Inc.

The ACO Conundrum

Safety-Net Hospitals in the Era of Accountable Care

Serving a similar disenfranchised population, safety net hospitals can be a natural fit with health centers seeking the improve the health care system. This paper provides a unique perspective from safety net hospitals facing the conundrum of adding value to the health care system with the ACO model while taking losses for reducing inpatient days, emergency room visits, and imaging services. Funded by the Robert Wood Johnson Foundation, this paper drafted by John Snow, Inc. and Bailit Health, discusses the role health centers have played for safety net hospitals navigating accountable care development efforts.  The paper highlights efforts from four safety net hospital systems: AltaMed Health Care Services in Los Angeles, CA; Baystate Health in Springfield, MA; Commonwealth Care Alliance in Boston, MA; and Hennepin Health in Minneapolis, MN.

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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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