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
A Practical Guide to Data Analysis in Health Centers

A Practical Guide to Data Analysis in Health Centers

HITEQ Center, August 2025

This practical, introductory guide to data analysis features Ana, a nurse who is transitioning into a clinical informatics role by learning data analysis in a health center setting.

The guide: outlines foundational data concepts, including the three main categories of healthcare data: clinical, operational, and financial; details how data is collected, organized, and stored; provides an overview of various data analysis tools like Python, R, and SQL; explains how to clean and transform raw data; and concludes with examples of how data can be used for things like quality improvement and payment management.

Readers can download the three practice data sets provided to follow along with Ana throughout the guide.

Download the guide, along with three practice data sets, in the Documents to Download Section below.

Previous Article The Importance of Data Creators
Print
329

Documents to download

Acknowledgements

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