Health IT Enabled QI Resource Sets

A Practical Guide to Data Analysis in Health Centers

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| Categories: Health IT Enabled QI, Accessing Data for QI, Foundation for HIT Enabled QI, Improving Performance, Communicating with Data, Validating Data Accuracy, Health IT & QI Workforce, Onboarding, Recruitment, Professional Development
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.

Documents to download

Tags: data specialistData ReportingData TeamData AnalyticsData Visualizationdatadata typesData AccessData Aggregationdata analysisdata dashboardsdata-driven decision makingData and storytellingdata literacydata privacyData vizPythonStructured Query Language (SQL)R StudioRData FormsData Structuredata cleaning
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Acknowledgements

This resource collection was cultivated and developed by the HITEQ team with valuable contributions from Chris Espersen, Espersen & Associates and Past President of Midwest Clinicians Network, Dan Tutuer, former head of Colorado's HCCN, and Dr. Jerome Osheroff, TMIT Consulting, LLC, as well as HITEQ's Advisory Committee and many health centers who have graciously shared their experiences with HITEQ.

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