Author Archives: Monika Wahi

The Stages of the PDSA Model: What do they Really Mean? Part 2 of 5

Implementing the Plan Do Study Act model is very cost- and labor-intensive but it is possible to get a return on investment

What are the stages of the PDSA model, and how do they relate to the functions of a QA/QI department in healthcare? The answers are not straightforward. I examine these issues in this blog post.

Wondering if You Will Like Healthcare Research? Try This: Data Collection

Learn data science skills online in order to develop data collection materials

If you are not sure if you will like doing research in healthcare, instead of starting with big data, start with data collection and get to know the data as it comes into the dataset.

Healthcare Data Science Newbie Do-it-Yourself Starter Kit

The tools for healthcare data science include both descriptive and inferential statistics

Monika posts her “data science newbie do-it-yourself starter kit”, with links to cheap or free learning resources for the data science newbie who wants to get started in healthcare analytics.

Quality Improvement in Healthcare: What is the PDSA Model, and How Well Does it Work for QA/QI? Part 1 of 5

Continuous quality improvement through conducting research projects to get evidence to inform change

Wondering what the Plan-Do-Study-Act (PDSA) Model is, and if you should adopt it for quality improvement in healthcare? Read my series of blog posts on the subject for my personal experience and recommendations

“Bad Blood” Reveals Theranos was Guilty of Bad Business and Bad Data Science: Part 1 of 5

Businesses that are chaotic and poorly run do not steward their data properly, and it is inaccurate.

This is my first blog post in a series of five where I talk about data-related misconduct outlined in the book “Bad Blood”, and provide guidance on how to prevent it.

Data Science of Data Collection: Free Course and Course Series!

“Understanding Research Forms, Surveys and Instruments” is a 6-course online tutorial series aimed at graduate students and new researchers so they learn how to collect data properly, and do not make mistakes that can cost them their degree or job promotion!

Learn the “data science of data collection” through my free introductory course! If you want to learn more, continue with the whole six-course series. Great for graduate students and QA/QI professionals!

Applying Rothman’s Causal Pie Model to the Death of George Floyd

Weighing relative causes visually is easier with Rothman's causal pie model

In the murder trial of Officer Derek Chauvin, the prosecution must demonstrate that the police officer’s knee on George Floyd’s neck constituted a “substantial” cause of Mr. Floyd’s death “beyond a reasonable doubt”. This presents a challenge in weighing relative causes of death, and this leads us essentially to causal inference. My blog post demonstrates […]

Why COVID-19 is Overrunning the US in Late 2020: Overlapping Epicurves

Data in simulated epicurves show frequencies and explain outbreak timing

While other countries have found a way to control their community spread of COVID-19 while waiting for the vaccine program to be implemented, the United States has totally failed at this. An epicurve is a diagram of the timing of an outbreak, and in other countries, this curve has been flattened. But in the United […]

This Course in Explainable AI will Get you Ready for the Future!

What do the data say when a machine learning algorithm is applied, and which features are important?

We experience artificial intelligence all the time on the internet in terms of friend suggestions on social media, internet ads that reflect what we have been searching for, and “smart” recommendations from online stores. But the reality is that even the people who build those formulas cannot usually explain why you were shown a certain […]

Read Our New Peer-reviewed Paper on the Ketogenic Hypothesis for Lipedema!

Lipedema is a chronic condition that is often misdiagnosed as obesity

Lipedema, a severe metabolic disorder, is more common than originally thought. A non-trivial proportion of women who struggle with obesity actually have undiagnosed lipedema. I am on a research team that just published a peer-reviewed article that presents the ketogenic hypothesis for lipedema, and here, I present a summary.

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