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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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Leadership Buy-In Resources Overview

This section of the website provides resources intended to help spur leadership action on to new or improved quality efforts. The tools are intended to be used by leaders, but also by other Health Center staff who are determined to solicit the help of leaders on quality work.

Embarking on, or making significant advancements to quality work requires strong Health Center leadership.  Leaders help define how decisions will be made, provide the resources necessary to analyze data and processes, and develop or guide strategic planning efforts that integrate all the functions of a Health Center.  At the highest level of function, quality is driven by organizational culture, rather than strategy.  Here too, leaders play important roles in helping to define and spread culture change throughout an organization.

Health IT & QI Workforce Leadership Buy-In Resources
Clinical Data Elements for UDS eCQMs and their Lookback Timeframes
HITEQ Center
/ Categories: EHR Selection and Implementation, EHR Selection, EHR Implementation, Health IT Enabled QI, Accessing Data for QI, Foundation for HIT Enabled QI, Improving Performance

Clinical Data Elements for UDS eCQMs and their Lookback Timeframes

Useful for EHR transition planning; developed in 2023.

Each electronic clinical quality measure (eCQM) is composed of data elements in the EHR or health IT system that are evaluated according to the measure specifications.
It is important to identify what data elements need to be transitioned to any new EHR for clinical quality measure continuity and accuracy. This resource identifies clinical data elements in eCQMs that should be considered when transitioning EHRs. These data elements are used in reporting or calculating eCQMs, so their availability or lack thereof in any new EHR system will impact reporting accuracy.

Download the file below for the data elements


When selecting, upgrading, or transitioning EHRs, patient safety is of paramount importance. That is not covered in this reference; refer to the SAFER guides for best practices in ensuring patient safety.

Each health center and potentially any vendor(s) involved in the transition will need to determine if these data elements, as defined in the eCQM are in their current systems, and, if so, how that data will be moved into any new system, including form and length of time.

The clinical data elements resource, available for download below, may be useful in informing RFPs, discussions, or negotiations about data transition. This process of ensuring alignment with eCQMs is a key step, not only in facilitating the transition of legacy clinical quality measure data to a new system, but also as health centers prepare for the transition to patient level submission with the implementation UDS+.

The UDS Data Elements table, in the second tab of the downloadable file below, lists out data elements in eCQMs reported in the annual UDS report that require historical data for accurate evaluation (e.g., a ‘lookback period’ is defined in the measure for the data element).

The table on the UDS Data Elements tab includes data element, related eCQM, description, timeframe (i.e., how far back the given measure looks for data element, and therefore the length of historical data that should be available for the new EHR system to assess), relevant code sets, and CQL structure. For a full list of related codes, download value set details from the Value Set Authority Center.

 

 

Review the full information in the downloadable file below.

 

 

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Tags: eCQMeCQIElectronic Clinical Quality ImprovementEHR TransitionQuality MeasurementEHR PlanningeCQMsValue setMastering Clinical Measures Badge

Documents to download

Related Resources

Acknowledgements

This resource collection was compiled by the HITEQ staff with portions contributed by Chris Espersen, HITEQ Advisory Committee member and Independent Contractor and Past President of Midwest Clinicians Network; Shane McBride, Independent Contractor and Past Vice President of Quality and Clinical Systems at South End Community Health Center; Chris Grasso, Associate Director for Informatics & Data Services- The Fenway Institute; and Ed Phippen, Principal - Phippen Consulting, LLC.

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