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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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Accessing Data for QI

As adoption of EHRs has increased, so have the concerns about ability to access the data needed to drill down into quality improvement efforts or even reporting requirements. Depending on the type of system being used, data may be cloud based, on a remote server, or on a local server. Further, data may be accessible through preprogrammed, ad hoc, or custom reports, but there may be greater challenges to accessing raw data or data that can be analyzed for quality improvement purposes. Resources in this section address these challenges and provide actionable information for accessing the data needed.

Accessing your Data
Event date: 5/14/2024 12:00 PM - 1:00 PM Export event
Clinical Quality Measures 101: Assessing Data Alignment
Caitlin Tricomi
/ Categories: Electronic Patient Engagement, EHR Implementation, Accessing Data for QI, Webinars

Clinical Quality Measures 101: Assessing Data Alignment

Virtual Learning Collaborative

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.


Session 3: Tuesday, May 14, 2024, Assessing Data Alignment

In this session, we discussed how data alignment can help your progress on clinical quality measures. We focused on tying the CQM requirements and specifications to clinical practice through quality improvement efforts.

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Tags: quality improvementData Monitoringdata alignmentCQMclinical practice

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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.