If you’re involved in quality in any healthcare field, the second edition of Data Sanity is a must-read
What pitfalls lurk outside your database?
What pitfalls lurk within your database?
We should make variation accessible to a wider spectrum of professionals
Description vs. prediction
You can’t concentrate on what your data is saying if you’re too busy wrestling with it
Survey reveals what people do, eat, and argue about
When is enough, enough? That depends.
To make sense of any data set, start an analysis with a process behavior chart
Measuring and predicting hurricanes
Why has it taken so long to understand that processes need analytic methods, not enumerative ones?
Using intervals to get at the tail ends of the problem
It helps to build a table
The gap between computations and reality
A conversation with Neil Polhemus
First you guess what the problem might be…
Lessons Shared From Overseeing 10,000+ Continuous Improvement Projects in 10 Years
Vague solutions to a vague problem will yield vague results
Including the big enchilada, managerial indifference
There are many ways to fail an SPC implementation, but yours doesn’t have to be one of them