X
GO
Overview

Validating data from Health IT systems is the cornerstone of effective Health IT Enabled QI. Ensuring that Health IT-generated reports and data reflect an accurate picture of the care and outcomes of your population ensures that data is actionable for quality improvement, monitoring as well as many other purposes. This validation must be ongoing as system , provider, workflow, and other changes, can all impact accuracy of data. This section provides worksheets, guides, and tips for validating data.

Data Accuracy Resources
Diabetes Health Center Data Validation Tool
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

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. 

Health Center Data Validation Tool
Health Center Data Validation Tool

Health Center Data Validation Tool

This Excel-based tool is designed to support validation of EHR reporting for the Adult BMI clinical measure by comparing results from EHR to results from chart reviews or examination of underlying data. This assists in identifying specific data elements that are not being captured appropriately, either as a result of workflow or EHR report logic, and thereby effecting compliance rates. 

Data Report Audit Tool
Data Report Audit Tool

Data Report Audit Tool

This tool is a template that health centers can use or modify to audit reports for accuracy and to resolve any issues identified in the process. It is intended to assist health centers in ensuring they have accurate reporting and a process to resolve issues.

Measuring Telehealth Success: You Can't Achieve it if You Can't Measure It
Measuring Telehealth Success: You Can't Achieve it if You Can't Measure It

Measuring Telehealth Success: You Can't Achieve it if You Can't Measure It

More than a year into the Covid-19 pandemic, it is now obvious that telehealth — in the form of a hybrid care delivery model that blends virtual and in-person care — is not a fad, but a healthcare delivery option that is here to stay. Healthcare leaders are seeking to optimize their organization's telehealth services for high performance and long-term sustainability. The problem is that most leaders neither know how well (or how bad) their telehealth services are performing, nor what true success can or should look like.   Telehealth, when designed and implemented correctly, will engage patients to achieve positive outcomes, delight physicians, and contribute to organizational strategic objectives, including sustainable financial success.  In this presentation, Christian Milaster of Ingenium Digital Health Advisors leads viewers through a series of pragmatic concepts on how to set an organization’s telehealth success targets, what and how to measure telehealth performance, the Physician Bill of Telehealth Rights, and how to leverage telehealth to achieve strategic success. This presentation is the second session of a two-part series. The first session focused on a telehealth maturity model and is available here.

NPDB Technical Assistance Webinar: Health Center Attestation
NPDB Technical Assistance Webinar: Health Center Attestation

NPDB Technical Assistance Webinar: Health Center Attestation

Starting in August, a process called attestation will begin, during which Federally Qualified Health Centers (FQHC) and FQHC look-alikes will verify that they have submitted all reportable clinical privileges actions to the National Practitioner Data Bank (NPDB). They will be asked to do this as part of their organization’s registration renewal.

Health Datapalooza
Health Datapalooza

Health Datapalooza

The 8th Annual Health Datapalooza is the gathering place for people and organizations creating knowledge from data and pioneering innovations that drive health policy and practice. Registration is available for attendance via webinar and in-person.

Acknowledgements

This resource collection was compiled by the HITEQ Center staff with guidance from HITEQ Advisory Committee members and collaborators of the HITEQ Center.

Need Assistance?
Would you like more assistance regarding Health IT Enabled QI strategies or support in using any of the included resource sets?

  Request Support

 

Upcoming Events
The Quadruple Aim
Quadruple Aim

A Conceptual Framework

Improving the U.S. health care system requires four aims: improving the experience of care, improving the health of populations, reducing per capita costs and improving care team well-being. HITEQ Center resources seek to provide content and direction aligned with the goals of the Quadruple Aim

Learn More >