Analytic Methods

The most useful, practical analytic methods, models, through which healthcare data is brought to life.

Customer Segmentation

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