Performance Measure Data Definition Worksheet 7251 Molly Rafferty post on Monday, December 12, 2022 | 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 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 Performance Measure Data Definition Worksheet(.pdf, 160.79 KB) - 1147 download(s) Published in December 2022 Tags: eCQMUDSONCElectronic Clinical Quality Improvementquality improvementToolQuality Improvement ProcessesImproving PerformanceData ReportingdataHealth IT Enabled QIdata-driven quality improvementPCMHQuality ReportseCQMsUDS dataMastering Clinical Measures Badge Print Previous Article Diabetes Health Center Data Validation Tool Next Article Clinical Data Elements for UDS eCQMs and their Lookback Timeframes Related Resources HITEQ Highlights: Dashboard Design Guide Spotlight for Health Centers Health Center Dashboard Design Guide HITEQ On the Horizon: Demystifying Current and Future Clinical Quality Measure Reporting: UDS+ and the Adult Weight Screening and Follow-up Measure Roundtable On the Horizon: UDS+ and Race, Ethnicity, and Language Collection Clinical Quality Measures 101: Assessing Data Alignment
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