Tools, Technologies and Training for Healthcare Laboratories

What about Bias? (in enzyme assays)

Posted by Sten Westgard, MS

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Managing quality vs. measuring uncertainty

Posted by Sten Westgard, MS

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Journal Watch: The Quality of Estradiol Assays

Posted by Sten Westgard, MS

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The Real Rili-BAEK: an official English Translation

Posted by Sten Westgard, MS

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A Six Sigma Series from Advance

Posted by Sten Westgard, MS

Last month, Advance for the Laboratory published a three part series on Six Sigma in the Clinical Laboratory, written by David Plaut, Nathalie Lepage, and Kim Przekop:

Part 1

Part 2

Part 3

While it's great that Advance has invested in in-depth coverage of the Six Sigma topic, unfortunately one of their examples in part 2 demonstrates a misunderstanding of the application.

See the mistake, after the jump...

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Biologic Variation Terminology: I before G, except separate from A

Posted by Sten Westgard, MS

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HbA1c: Bias is a big deal, and CV is critical

Posted by Sten Westgard, MS

Two interesting abstracts and papers concerning HbA1c came out recently. As laboratories switch from fasting blood glucose to HbA1c to diagnosis diabetes, the importance of the method performance of HbA1c methods is becoming critical.

But what's more important? Bias or CV?

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Pop Quiz: How good (bad) are Swedish hospitals at inflicting adverse harm?

Posted by Sten Westgard, MS

While we recently got a study that estimated the (frightenly high) number of Adverse Events caused by US hospitals, it looks like other countries are not content to let us stand alone. Now Sweden is doing us one better. Guess what the Adverse Event rate is in one hospital in Sweden?

  • 28.2%
  • 20.5%
  • 6.3%
  • 3.32%

 Which number would you choose?

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Journal alert: Sigma-metrics in CCLM

Posted by Sten Westgard, MS

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Six Sigma Savings goes to the Dogs, Cats, Horses, etc.

Posted by Sten Westgard, MS

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Is it [LowQC]?: Farsi Addition

Posted by Sten Westgard, MS

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Pre-analytical error rates at a Chinese hospital

Posted by Sten Westgard, MS

Fresh on the heels of a study about error rates in a Romanian hospital, now we've got a new study about pre-analytical error rates at a Chinese hospital:

Corrected reports in laboratory medicine in a Chinese University hospital for 3 years, Liu X, Jiang Y, Zeng R, Zaho H, Clin Chem Lab Med 2014;52(4):e57-e59

Want to guess how many errors this lab experienced out of 1.1 million test reports in 2012?

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In case you missed it: Above Average QC

Posted by Sten Westgard, MS

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Pop Quiz: How good (bad) are US hospitals at inflicting adverse harm?

Posted by Sten Westgard, MS

We've all heard the infamous quote now over a decade and a half old: that US hospitals kill between roughly 40,000 and 90,000 patients each year. This was an estimate courtesy of the Institute of Medicine report "To Err Is Human" which made the dire performance of hospitals knowledge that even the general public could understand.

But more recently, studies have been tracking the adverse event rates much more closely. A recent NEJM paper followed four conditions from 2005 to 2011.

Of these four conditions, which do you think has the best Sigma performance when it comes to the occurrence of adverse events?

A. Acute Myocardial Infarction (AMI)

B. Congestive Heart Failure

C. Pneumonia

D. (other) Conditions Requiring Surgery

The answer, after the jump...

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Westgard in the News: Shaking up QC Frequency

Posted by Sten Westgard, MS

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Are performance specifications based on biological variation for hemostatis unfit-for-purpose?

Posted by Sten Westgard, MS

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New Paper on Six Sigma models and math

Posted by Sten Westgard, MS

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How the "Westgard Rules" got their name...

Posted by Sten Westgard, MS

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New Paper on MU, TE, and the unnecessary struggle

Posted by Sten Westgard, MS

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Comparing MU to Ricos Desirable CV: Like comparing an apple to basketball

Posted by Sten Westgard, MS

I was looking over a recent study of a compact blood gas analyzer conducted over multiple sites, multiple cartridges, multiple days, etc. In other words, this was a study that was doing a very thorough job.

Then I reached a section where suddenly it all fell to nonsense: measurement uncertainty.

So they calculated measurement uncertainty, but then they compared the results against Ricos desirable imprecision performance specifications.

Huh?

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