The most useful, practical analytic methods, models, through which healthcare data is brought to life.
Building Scalable Analytics Pipeline
Analytics for Medical Practice Managers
how to think about medical practice management from an analytics perspective
Automating Healthcare Fraud Detection
What’s in it for me anyway? – incentives in healthcare
Applying AI in the real “healthcare” world
some thoughts on successful applications of AI in healthcare
Challenges to applying machine learning in healthcare
A Health Data Whisperer’s Tricks
Understanding features of health data to do great analysis
Health insurance analytics metrics
Metrics that insurers use to manage health plans
Feature Engineering for Health Analytics
How to structure data to find actionable insights
Practical Considerations for Predictive Modeling
What to consider to improve your analyses/predictive models
Sensitivity vs Specificity (other goodness of fit measures)
How to calculate these goodness of fit measures
An intro to SQL – your key to databases
4 core SQL lines that allow you to perform most of your database work
Decision trees – intro
One of the most useful statistical techniques for health analytics
Just the statistics you need
7 (basic) statistical concepts that I find the most useful in health care analytics
6 skills/traits health data analysts need
Curiosity, Knowledge of dynamics in healthcare, Numeracy, Knowledge of healthcare data, Interpersonal skills, Software skills.
5 reasons to switch to a career in health analyics
Now is better than ever to consider a career in health analytics
The Health Analytics Guru 