Clinical Quality Measures 101: Assessing Data Alignment
Clinical Quality Measures 101: Assessing Data Alignment
This session taught participants about how to align data with clinical quality measures. Attendees learned how to connect CQM requirements necessary for clinical practice through quality improvement efforts.
Performance Measure Data Definition Worksheet
Performance Measure Data Definition Worksheet
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.
Diabetes Health Center Data Validation Tool
Diabetes Health Center Data Validation Tool
Excel-based Data Validation Tool for health centers to validate their 2021 UDS clinical quality measure reporting of Diabetes Control (HbA1C > 9%) measure on Table 7. Video and written instructions are provided.
Health Center Data Validation Tool
Health Center Data Validation Tool
Excel-based Data Validation Tool for health centers to validate their 2021 UDS clinical quality measure reporting of that Weight Assessment and Counseling for Nutrition and Physical Activity for Children and Adolescents measure. Video and written instructions are provided.
Accessing and Reading Electronic Clinical Quality Measures (eCQMs) for UDS
Accessing and Reading Electronic Clinical Quality Measures (eCQMs) for UDS
This video is to assist health centers and health center program stakeholders access and read the eCQM specifications in order to support clinical quality measure reporting on the Uniform Data System (UDS).