Highlighted Resources & Events
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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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Resource Overview

Population Health Management requires aggregating patient data from a number of sources, and conducting analytics and modeling to derive actionable insights that translate to increased patient engagement and improved outcomes.  Resources in this section describe data sources that are available to health centers, how to access and integrate them, and ways to enrich them with patient-provided data through health risk assessments and patient engagement technologies.

Getting and Using PHM and SDH Data

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: Assessing Data Alignment
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: 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.

Registration is now closed.

Overview of Virtual Learning Collaborative

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

In this session, we will be talking through how data alignment can help your progress on clinical quality measures. We’ll focus on tying the CQM requirements and specifications to clinical practice through quality improvement efforts.

 

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Tags: Data Monitoringdata alignmentCQM

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Acknowledgements

This resource collection was cultivated and developed by the HITEQ team with valuable contributions from the National Association of Community Health centers (NACHC) as well as HITEQ's Advisory Committee and many health centers who have graciously shared their experiences with HITEQ.

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