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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
On the Horizon: UDS+ and Race, Ethnicity, and Language Collection
On the Horizon: UDS+ and Race, Ethnicity, and Language Collection

On the Horizon: UDS+ and Race, Ethnicity, and Language Collection

The HITEQ Center is planning a series of discussions about what is on the horizon-- this includes the people, processes, and technologies related to UDS+, environmental impacts and environmental determinants of health (EDoH), and Artificial Intelligence (AI). Each session will be interactive and engaging and include time for health center sharing. 


This series is open to community health centers throughout the nation. If you are from a health center and are interested in enhancing your understanding of UDS+ demographic and clinical quality measures, environmental impacts and EDoH, and/or AI, you should join this series! This might include EHR or IT staff, clinical or operations staff, leadership, quality and population health staff, and/or clinical staff. Registration for each session is below.

Making Meaning of UDS Data with HITEQ UDS Clinical Quality Dashboards
Making Meaning of UDS Data with HITEQ UDS Clinical Quality Dashboards

Making Meaning of UDS Data with HITEQ UDS Clinical Quality Dashboards

Health centers have the power to analyze their UDS data through the HITEQ UDS Clinical Quality Dashboards, which were recently updated with the latest UDS data to include 10 years' worth of clinical information. HITEQ hosted a webinar to learn about the multiple ways that the dashboards can present your organizations’ clinical data across years, and compare it to customized comparison groups of other health centers, to explore potential drivers of results. The HITEQ UDS Clinical Quality Dashboards have evolved and improved each year to provide new analysis options. The Dashboards present the UDS data in a flexible and readily understandable graphical format and deliver an organization-specific version of the content to each health center, HCCN, and PCA via a web interface built on Tableau. Each organization's access allows them to see the data relevant to their center while protecting the data of other organizations.

Health centers, HCCN, and PCAs joined HITEQ to see how the dashboards can provide them with data to answer many questions such as: 

  • As a homeless health center, how does our clinical quality compare to homeless health centers nationally?
  • As a small health center, which we choose to define as those with <10,000 medical patients, does it appear that our size is a driver of our clinical results compared to other health centers?
  • How have the trends in my clinical outcomes over the past 5 years compared to similar health centers in states that I consider relevant to mine?

Acknowledgements

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