HITEQ Health Center Mastering Clinical Measures Badge

This badge is designed to support health centers by providing staff with a better understanding of clinical quality measures.  Materials include a crosswalk of electronic clinical quality measures (eCQMs) that details measure specifications and inclusion in other quality reporting programs. For health centers transitioning electronic health records (EHRs), a guide to Uniform Data System (UDS) eCQMs is included to help prioritize clinical data elements needed for accurate reporting.  Also included are tools from HITEQ designed to help health centers assess their workflows and learn how to access and use resources related to quality measure reporting. 

Take some time to read through some of the articles on this page and then fill out the submission form on the right and you will be rewarded with a Mastering Clinic Measures badge! This is an official badge that is submitted by the HITEQ Center as a proof of completion to the blockchain. Your credentials can be added to profiles such as LinkedIn and verified through accreditation services such as Accredible and Open Badge.

 

Event date: 3/7/2024 1:00 PM - 2:00 PM Export event
Data-Driven Health Equity: Strategies for Collecting Patient Data in Health Centers Webinar

Data-Driven Health Equity: Strategies for Collecting Patient Data in Health Centers Webinar

NTTAP Webinar Series 2023-2024

The webinar dove into key strategies for using identity data in population health management. Expert faculty highlighted the importance of gathering data to address health disparities, with a focus on utilizing Electronic Health Records (EHR) for both internal and patient-focused justice, equity, diversity, and inclusion (JEDI) purposes. Participants gained confidence in advancing health equity with strategies to collect and use demographic data for developing and monitoring health equity plans. The event took place on Thursday, March 7, 2024 1:00pm-2:00pm ET / 10:00am-11:00am PT.

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Documents to download

Badge Submission Form