This repo has all the resources you need to be a great Healthcare Analytics Engineer!
Please submit a pull request if there is any thing you'd like to contribute. Thanks!
I like the Data Roles Continuum created by Zack Wilson. For pure data engineering stuff, check out his Data Engineer Handbook.
Even though many people in Healthcare Analytics get called "data analysts" or "data scientists," a lot of what they do is actually "data engineering." So, they often end up working as "analytics engineers."
In any field, three key abilities are generally considered essential: business knowledge, soft skills, and hard skills.
- Check out Healthcare Knowlege section for more business domain knowledge!
- Check out Soft Skills section for key soft skills needed!
- Check out Hard Skills section for a list of core technicall skills!
- Blogs
- Books
- Courses
- Guiding Principles
- Journals
- Newsletters
- Open Data
- Projects
- Repos
- Summer Internship
- Websites
- Analytics and AI for Healthcare: Book Series
- Digital Health: A Primer
- Dimensions of Intelligent Analytics for Smart Digital Health Solutions
- Translational Application of Artificial Intelligence in Healthcare: - A Textbook
- Data Driven Science for Clinically Actionable Knowledge in Diseases
- Data Analysis in Medicine and Health using R
- Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine
- Clinical Intelligence: The Big Data Analytics Revolution in Healthcare: A Framework for Clinical and Business Intelligence
- Clinical Research Methods for Surgeons
- Geek Doctor: Life as Healthcare CIO
- Health Economics and Policy
- Healthcare Analytics Made Simple: Techniques in healthcare computing using machine learning and Python
- Healthcare Big Data Draft in Chinese
- Healthcare Data Analytics
- Healthcare Data Analytics: Primary Methods and Related Insights
- Interpreting the Medical Literature
- Multivariable Analysis: A Practical Guide for Clinicians and Public Health Researchers
- Reproducible Medical Research with R
- SAS Data Analytic Development: Dimensons of Software Quality
- SAS Programming with Medicare Administrative Data
- Study Design and Statistical Analysis: A Practical Guide for Clinicians
- The CMIO Survival Guide: A Handbook for Chief Medical Information Officers and Those Who Hire Them
- The Project Manager's Guide to Health Information Technology Implementation
- The Truth about Health Care: Why Reform is Not Working in America
- Veridical Data Science
- Health Innovation
- Healthcare Brew
- Learn Analytics Engineering
- Medical Futurist
- The Analytics Engineering Roundup
- Care Compare
- Centers for Disease Control and Prevention (CDC) Open Technology
- Centers for Medicare & Medicaid Services (CMS) Public Data Sets
- Global Health Observatory
- ImmPort Shared Data
- NPPES
- Patient Matching
- UCI Machine Learning Repository
- 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.
- 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.
Here's the mostly comprehensive list of data engineering creators:
| Name |  YouTube |
 |
 X/Twitter |
 |
 TikTok |
|---|---|---|---|---|---|
| Chad You | Chad You | Chad You | |||
| Andrea Hobby | Andrea Hobby | ||||
| Madison Schott | Madison Schott | ||||
| Tristan Handy | Tristan Handy |