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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

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Onboarding Overview

Onboarding new employees is the process by which new employees get acclimated to their new job and ramp up to full capacity within that job. This is typically a multi-pronged approach as new employees have to be oriented to the unique culture of your health center, plus they have to learn the specialized skills, knowledge and behaviors expected to fulfill their particular responsibilities.  This is especially challenging for Health IT and Quality staff because they work on their own as well as working collaboratively with staff across the health center in a number of capacities. Their orientation is therefore essential to providing high quality services to the whole health center.

It is important to give new Health IT and Quality employees as much support as possible to ensure that they adjust to their new job and start adding value as quickly as possible. Besides the general best practices of ensuring that all standard first day bases are covered, each specific department should have their own onboarding mechanisms. Listed in this section are two such resources for Health IT and Quality staff, in particular.

Health IT & QI Workforce Development Onboarding
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.

Next Article Benefits and Tools for Onboarding and Orientation of New Staff Members
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Documents to download

Acknowledgements

This resource collection was compiled by the HITEQ staff with portions contributed by Chris Espersen, HITEQ Advisory Committee member and Independent Contractor and Past President of Midwest Clinicians Network; Shane McBride, Independent Contractor and Past Vice President of Quality and Clinical Systems at South End Community Health Center; Chris Grasso, Associate Director for Informatics & Data Services- The Fenway Institute; and Ed Phippen, Principal - Phippen Consulting, LLC.