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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
Analysis of UDS Clinical Quality Measure Performance by Health Center Telehealth Use
HITEQ Center
/ Categories: UDS Resources, Telehealth

Analysis of UDS Clinical Quality Measure Performance by Health Center Telehealth Use

Updated in Sept. 2020 with CY2019 UDS Data

The below analysis is based on Uniform Data System (UDS) reported by health centers (both 330 funded and Look Alikes).  Performance on Clinical Quality Measures is derived from Tables 6B and 7 (with the exception of the prenatal measure, which is not included). Telehealth Use is from Question 2 of the UDS’s Other Data Elements form, which asks Did your organization use telehealth in order to provide remote clinical care services [in reference year]? Yes or No. 

Health centers that report using Telehealth, on average, report slightly higher performance on all clinical quality measures than those health centers that report that they do not use telehealth. 

Download the full  document at the bottom of the page for details about each measure.

 

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Tags: telehealthclinical quality measuresUDSUniform Data SystemeCQMs

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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.