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.

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.

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. 

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. 

What is RPA and how can it benefit health centers? Download and read this HITEQ Explainer to learn all about it!

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).

HITEQ's AirTable interactive PCMH Support Tool is intended to help health centers gauge track and support their transformation process for achieving PCMH recognition.

The Social Determinants of Health Data Dashboards training is a four module series. Modules range from about 8 minutes to 12 minutes in length. Module one provides an introduction to the role of screening and collecting data on social determinants of health, identifying social determinants of health measures and using data effectively, and assessing organizational data dashboard capability. Subsequent modules provide beginner, intermediate and advanced level considerations and examples for social determinants of health data dashboards. 

With the rapid shift to telehealth services propelled by the COVID-19 pandemic, many community health centers had to rapidly transition to a mechanism of care delivery previously unknown and unfamiliar. Within a matter of days and weeks, health centers creatively found ways to transform workflows and approaches to care delivery to continue to provide care even if the patient was physically distant. This resource highlights promising practices in virtual integrated behavioral health care identified from community health centers. 

This toolkit from Iowa is organized around the three stages of SDOH: Prepare, Test and Spread. The key concepts are organized under each of the stages. This toolkit provides existing and
new tools for each of the 21 concepts with guidance related to when an organization may want to use each tool or concept.