HITEQ Health Center Information Blocking Avenger

This badge is designed to support health center staff who work with data every day to tell a comprehensive story with their data and foster a data-driven culture. Materials include a dashboard design guide, the Learning to Love your Data webinar series, and a resource detailing how data visualization can be used to support value-based care.  Take some time to review the resources on this page and then fill out the submission form on the right and you will be rewarded with a Data Storyteller 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.

Information Blocking Avenger Curriculum

Clinical Quality Measures for Eligible Professionals: 2024 Update

A crosswalk of Clinical Quality Measures for UDS and other reporting from The HITEQ Center

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This spreadsheet developed by the HITEQ Center provides a crosswalk of Clinical Quality Measures and their electronic specifications as defined in the 2023 update for Eligible Professionals (Clinicians). Fields include the crosswalk of measures with related information about CMS, NQF, and MIPS ID, and Telehealth Eligibility, as well as inclusion in HRSA BPHC Uniform Data System (UDS) CY2023, Million Hearts, CMS Quality Payment Program (QPP) - Performance Pathway (APP) Measures, Medicare Shared Savings Program (MSSP)/ CMS ACO Shared Savings Program, CMS Core Set (Child Core Set Medicaid / CHIP): HEDIS Specified, CMS Core Set (Adult Core Set Medicaid): HEDIS Specified, Core Quality Measures Collaborative (ACO / Primary Care). Links are included throughout.

Clinical Data Elements for UDS eCQMs and their Lookback Timeframes

Useful for EHR transition planning; developed in 2023.

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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.

Accessing Value Set Codes for Clinical Quality Measures

Video guide for health centers to download codes needed for accurate UDS reporting, created February 2023.

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This video was created to assist health centers in accessing the codes for value sets associated with electronic clinical quality measures (eCQMs) reported as part of UDS. Health centers can download the needed codes from the Value Set Authority Center.

Performance Measure Data Definition Worksheet

December 2022

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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.

Managed Care Data Checklist for FQHCs

Companion Document to Video Module: Payer Data: The Managed Care Data. Prepared by Starling Advisors for the HITEQ Center in July 2022.

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This checklist will walk you, the health center, through a series of common considerations for contracts you may receive from payers with a specific focus on contracts that include value-based payment components. This document assists organizations in understanding the necessary data and data-related tools for managing population health within a managed care environment. It is a primer on the types of best-practices that are necessary to maximize care delivery models that are responsive to value-based payment programs. Follow this checklist to further your understanding of these considerations and to help flag any outstanding issues for legal and/or consultant review prior to execution.

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