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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: 5/14/2024 12:00 PM - 1:00 PM Export event
Clinical Quality Measures 101-- Readiness for Value Based Care and Patient-Level Data Reporting
Caitlin Tricomi
/ Categories: Electronic Patient Engagement, Patient Portals, Health IT Enabled QI, Accessing Data for QI, Foundation for HIT Enabled QI, Communicating with Data, Validating Data Accuracy, Relevance of PHM and SDH, Using Data for PHM and SDH, Webinars

Clinical Quality Measures 101-- Readiness for Value Based Care and Patient-Level Data Reporting

Virtual Learning Collaborative

May 14, 2024, Session 3: Assessing Data Alignment

As health centers engage with more quality programs through payers, funders, and others there is a pressing need for health center staff to have a foundational understanding of clinical quality measures, quality programs, and how these fit together and fit into the patient care provided in health centers. This learning collaborative is appropriate for health center personnel looking for a simple, foundational understanding of the quality measures and related programs.

Over the course of four structured virtual learning sessions, participants will engage with subject matter experts and their colleagues in peer-to-peer learning and discussion. Topics will include: clinical quality programs and clinical quality measures, the anatomy of a clinical quality measure, assessing data alignment, and how to apply these approaches to the health center setting.

Registration is now closed.

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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.