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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
HITEQ Center
/ Categories: Health IT Enabled QI, Communicating with Data

How Healthcare Visualizations Can Improve Organizational Buy-In

from Health Catalyst

Data visualizations in many forms can be incredibly valuable in helping health center staff and leadership move from a passive understanding of the data to active support of health IT enabled, data driven quality improvement approaches. While introducing visualizations can create immediate value and understanding, ensuring that their full value is realized requires that stakeholders be fully engaged and understand how visualizations (such as dashboards) can support decision making.

Health Catalyst has an excellent piece about How Healthcare Visualizations Can Improve Organizational Buy-In in which they propose a three part framework: 

  • Teach: Use Group Settings to Build the Foundation for Engaged, Cross-functional Healthcare Teams
  • Show: Share Healthcare Visualizations with Clinicians and Healthcare Administrators and Have Them Share Processes
  • Involve: Answer the Team’s Questions
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Tags: Improving PerformanceData MonitoringData ReportingData AnalyticsdataHealth IT Enabled QIdata sharing

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Related Resources

Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.