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 >

Overview

Data monitoring, from the highest level down to the patient level is critical to identifying trends, gaining insights, and communicating transparently with staff and stakeholders. Data monitoring approaches such as dashboarding are used to display data in a simple and intuitive way, allowing a snapshot of performance on selected measures to see changes or areas for improvement. Business intelligence systems such as population health management analytics allows for the monitoring of the health of a whole patient population, stratified by various characteristics, thereby supporting care planning, resource allocation, and training opportunities. Resources in this section include tools to begin dashboarding, considerations for taking the next step with population health management and guidance on how to navigate the many factors of any data monitoring approach.

Monitoring and Communicating with Data
The Importance of Data Creators
Maddie Bishop-Harris
/ Categories: Health IT Enabled QI, Communicating with Data, Validating Data Accuracy, Health IT & QI Workforce, Onboarding, Professional Development, Using Data for PHM and SDH, Data Demonstrating Health Center Value, Video Library

The Importance of Data Creators

Created by the HITEQ Center, April 2025

Data plays a crucial role in a health center’s day-to-day operations and in meeting external reporting requirements, like the annual Uniform Data System (UDS) report. While the Quality team is often responsible for maintaining and reporting this data, it’s created by a wide range of clinical support staff—medical assistants, nurses, front desk teams, and even call center employees. This video helps to build a culture of shared responsibility by providing an introduction for clinical support staff into why complete and timely data collection matters, and how everyone plays a part in making sure the data is accurate.

An accessible version of the video is linked below under "Resource Links".

Previous Article Learning to Love your Data
Print
92
Tags: data specialistData Teamdata-driven quality improvementdata collectiondata-drivendata qualitydata driven culturedata creationdata creator

Documents to download

Resource Links

Related Resources

Acknowledgements

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