Data Storyteller

HITEQ created this template to assist HCCNs, PCAs, or other organizations in conducting health IT assessments of multiple health centers. 

This practical guide features key tools and principles to help health centers (HCs) develop safe documentation for intimate partner violence, human trafficking, and exploitation (IPV/HT/E) in their electronic health records (EHRs) and other technology tools.  In 2020, the Health Resources and Services Administration’s (HRSA) introduced new Uniform Data System (UDS) data elements for health centers (HCs) to report on IPV and HT/E. With the evolving landscape of data use in medical settings, it is imperative that HC staff understand privacy principles and implement best practices to protect confidentiality for survivors of IPV/HT/E. This resource features guidelines on documenting IPV/HT/E in the EHR using a trauma-informed, survivor-centered approach. The guide also features tools that FUTURES has developed alongside health IT platforms, namely for eClinicalWorks and OCHIN Epic, to aid HCs in using the evidence-based CUES intervention that focuses on universal education approaches on IPV/HT/E. This guide is available as a PDF (4 pages) in English.

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.

This session discussed the current UDS clinical quality measure reporting on Adult weight screening and follow-up clinical quality measures. Attendees learned about common challenges for collection as well as best practices for health centers.

This session will be co-hosted by the Community Health Care Association of New York State and Sun River Health, a health center in New York to take a deeper dive into UDS+ and how to collect granular race, ethnicity and language (REaL) data. Sun River Health shared their experiences and best practices for collecting REaL data.