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Overview

Through the data validation process, valuable information is gained that can then be used to improve performance around patient care or quality of care metrics.  Improving quality performance may take the form of improving data collection processes, better identifying patients who need additional interventions, or decreasing missed opportunities to provide patients appropriate interventions, among other possibilities. This section includes guidance on leveraging Health IT to improve quality performance including change packages for recommended approaches related to various quality of care measures.

Improving Performance Resources
Performance Measure Data Definition Worksheet
Molly Rafferty
/ Categories: EHR Selection and Implementation, EHR Implementation, Health IT Enabled QI, Accessing Data for QI, Foundation for HIT Enabled QI, Improving Performance, Communicating with Data, Validating Data Accuracy

Performance Measure Data Definition Worksheet

December 2022

The Performance Measure Data Definition Worksheet can be used during the Quality Improvement (QI) process to assess the alignment of your health center’s workflows and documentation and your EHR vendor’s reporting logic processes.

The Office of the National Coordinator for Health Information Technology (ONC) EHR Certification criteria requires EHR vendors to use eCQM (electronic Clinical Quality Measure) specifications to define measures. Therefore, reported data for a measure should be consistent regardless of EHR vendor. In practice, however, it is important to confirm that your EHR vendor’s reporting logic is consistent with your health center’s definition and workflows, and vice versa, as outlined in this worksheet.

Download the resource in the Documents to Download Section below.

Documents to download

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Tags: eCQM UDS ONC Electronic Clinical Quality Improvement quality improvement Tool Quality Improvement Processes Improving Performance Data Reporting data Health IT Enabled QI data-driven quality improvement PCMH Quality Reports eCQMs UDS data

Related Resources

Acknowledgements

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

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