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Your essential guide to healthcare analytics: bridging clinical knowledge and data skills for transforming patient care.

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Healthcare Analytics Engineer Handbook

This handbook aims to bridge the gap between healthcare domain knowledge and techincal analytics skills -- something I wish I had when starting my journey in this field.

I welcome your contributions, feedback, and suggestions as we continue to build this resource together. Whether you're a seasoned healthcare analytics professional or just starting your journey, there's a place for you in this community!

Getting started

I like the Data Roles Continuum created by Zack Wilson. For comprehensive data engineering resources, his Data Engineer Handbook is excellent.

It's interesting to note that while many healthcare analytics professionals are titled "data analyts" or "data scientists", they frequently perform tasks fall under "data engineering." This is why many end up functioning as "analytics engineers" in practice.

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Across all fields, professionals typically need three essential capabilities: business knowledge, soft skills, and hard skills.

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Table of contents

  • Chapter 4: Healthcare Data Architecture
  • Chapter 5: Data Modeling for Healthcare
  • Chapter 6: SQL for Healthcare Analytics
  • Chapter 7: Visualization for Healthcare Data
  • Chapter 8: Advanced Analytics in Healthcare
  • Chapter 9: Collaboration with Healthcare Stakeholders
  • Chapter 10: Healthcare Analytics Project Management
  • Chapter 11: Translating Business Questions to Analytics
  • Chapter 12: Ethical Consideration in Healthcare Analytics

Appendices

Blogs

Books

Companies

Courses

Guiding Principles

Journals

Newsletters

Open Data

Projects

  • The TUVA project
    • The Tuva Project is a large collection of tools organized into many GitHub repos that transform raw healthcare data into quality-tested data that is ready for analysis and machine learning. At the center of the project is the Tuva data model, a standard data model designed for healthcare analytics. These docs describe how to install, use, and contribute to the Tuva Project.

Organizations

Repos

  • CDC
  • CMS
  • Healthcare-Analytics
    • Hospital admission data was analyzed to accurately predict the patient’s Length of Stay at the time of admit so that the hospitals can optimize resources and function better.

Summer Internship

YouTube

Websites

Socla Media Accounts

Here's the mostly comprehensive list of data engineering creators:

Name
YouTube

LinkedIn

X/Twitter

Instagram

TikTok
Chad You Chad You Chad You
Andrea Hobby Andrea Hobby
Madison Schott Madison Schott
Tristan Handy Tristan Handy
Benjamin Rogojan Seattle Data Guy Benjamin Rogojan SeattleDataGuy
Zack Wilson Data with Zach Zach Wilson Zach Morris Wilson

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