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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
Event date: 2/2/2022 1:00 PM - 2:00 PM Export event
Health Center Case Examples in Coding and Documenting Social Risks

Health Center Case Examples in Coding and Documenting Social Risks

Immigration Case Example | Privacy and Data Sharing Considerations | HITEQ Learning Collaborative

Are you documenting patient information like immigration or refugee status, intimate partner violence, human trafficking, risk of acquiring HIV through sexual contact or substance use disorder, or other information that brings up questions about how to document or code while respecting the patient’s privacy?

This health center learning collaborative series presented health center case examples that explore the privacy and data sharing considerations of EHR documentation of sensitive patient information, such as social history and social risk, and encourage participants to discuss the implications for health centers and their patients. 

The Migrant Clinicians Network will present a case example involving patient immigration status for group discussion on the cross-cutting sensitive information and documentation considerations that present. The case example will be followed by a facilitated discussion about related documentation, coding, privacy, and data sharing.

 

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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.