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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

Data monitoring, from the highest level down to the patient level is critical to identifying trends, gaining insights, and communicating transparently with staff and stakeholders. Data monitoring approaches such as dashboarding are used to display data in a simple and intuitive way, allowing a snapshot of performance on selected measures to see changes or areas for improvement. Business intelligence systems such as population health management analytics allows for the monitoring of the health of a whole patient population, stratified by various characteristics, thereby supporting care planning, resource allocation, and training opportunities. Resources in this section include tools to begin dashboarding, considerations for taking the next step with population health management and guidance on how to navigate the many factors of any data monitoring approach.

Monitoring and Communicating with Data
Event date: 6/5/2017 10:00 AM Export event
Data Transparency Summit Part II
Alyssa Thomas

Data Transparency Summit Part II

An Oregon Primary Care Association Event

General Information

OPCA recently fielded a Data and Quality Improvement Survey to Oregon’s FQHCs, which helped foster a better understanding of clinics’ current data/QI capacities and capabilities. One common challenge that emerged was that of systematizing and sustaining data and quality improvement structures. As a result, this event is designed to dive deep into effective data and quality improvement systems, and will include a variety of activities including guest presentations, small group discussions, sharing of best practices and action planning.

 

Audience

  • Data Transparency Project participants
  • Any clinic staff whose job responsibilities include (but not limited to) leading quality improvement projects, building a culture of quality improvement, implementing quality improvement and data systems or communicating data. This may include staff at all levels of the organization, such as Quality Directors, Operations Directors, Quality Improvement Coordinators and Data Analysts.

 

Agenda (coming soon!)

The theme of the day is systematizing and sustaining quality improvement and the use of data within your clinics. Topics and speakers are subject to change as we continue to develop the agenda. 

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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.