Category Archives: Quality Assurance/Quality Improvement (QA/QI)

Recommended Model for QA/QI in Healthcare: Epidemiology and Biostatistics, not PDSA! Part 5 of 5

The Plan Do Study Act model does not use traditional epidemiological study designs that are peer-reviewed

I describe the three steps of my alternative model to the Plan-Do-Study-Act (PDSA) model for quality assurance/quality improvement (QA/QI) in healthcare.

“Bad Blood” Highlights the Issues with No Administrative Barrier between Research and Clinical Data: Part 5 of 5

In order to get approval by the food and drug administration clinical and research data have to be organized

Read my last post in a series on data-related misconduct at startup Theranos outlined in the book, “Bad Blood”, where I discuss their lack of administrative barrier between research and clinical data.

Alternative to the PDSA Model for QA/QI in Healthcare? Old-fashioned Epidemiology and Biostatistics! Part 4 of 5

The Plan Do Study Act model does not take into account all functions of a healthcare quality improvement and assurance department

Want an alternative to the Plan-Do-Study-Act (PDSA) model for quality assurance/quality improvement (QA/QI) in healthcare? I recommend approaching QA/QI a different way, by thinking about the various functions of the QA/QI department.

“Bad Blood” is a Lesson in How Bad Leadership Leads to Bad Data: Part 4 of 5

Data science leaders do not always realize they are responsible for writing policies about governance and data stewardship

As a data science leader, what should you put in place so your organization doesn’t end up a data mess like startup Theranos? This blog posts provides guidance.

Does the PDSA Model Work? Part 3 of 5

Quality assurance and improvement specialists wonder whether the Plan Do Study Act model works or not

The Plan-Do-Study-Act model is promoted for quality assurance/quality improvement in healthcare. But does it have any peer-reviewed evidence base behind it? I examine that in this blog post.

“Bad Blood” Shows how Theranos was an Abject Failure in Data Stewardship: Part 3 of 5

Data stewardship includes developing policies about cybersecurity, privacy and confidentiality of data

The book “Bad Blood” describes the fall of startup unicorn Theranos, but also provides insight into the company’s abject failure at data stewardship, which I talk about in this blog post.

“Bad Blood” Demonstrates how a Lack of Product Description Leads to Data Science Misconduct: Part 2 of 5

In order to operationalize your data variables, you need to have clear product descriptions

This blog post talks about how lack of product description led to data-related misconduct at Theranos, because they could never nail down exactly what they were trying to do.

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.

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.