Welcome to the sixth and final installment of this series on the proper selection and use of tools to help you improve Quality within your organization. This article ties together the previous five in this series with a treatise on the 7 Tools of Quality.
Why does “Quality” seem like such a slippery, elusive term? The answer is easy: It’s because the people who claim to know it really don’t. And everyone seems to go along with the rhetoric.
This is the fourth article in a five-part series on better investigation and problem-solving methods and principles in the life sciences. In writing this one, I’ve been thinking quite a bit about Sherlock Holmes. Not only his exquisite methods, but also flaws in the metacognition and metaphilosophy about how the fictitious detective underwent his work.
A refreshed approach to fault tree analysis can be an incredibly helpful addition to your problem-solving armamentarium. Having the confidence to begin using it — or begin using it more often — is the first step toward getting more comfortable with it and mastering its effects and nuances.
This article provides an in-depth and comprehensive explation one of the most broadly applicable and durable root cause analysis tools to investigate the quality of your manufacturing processes: the fishbone diagram.
This is the first in a five-part article series, Identifying And Resolving Errors, Defects, And Problems Within Your Organization. This article will enhance your understanding and prime you for visual detection of real trends in your organization by looking at a couple of examples.
How often do you hear pharma companies (your company?) pride themselves with trite phrases like “our people are our differentiating factor.” Sounds good. Yet the reality in the trenches is far from this panacea — most industry talent reports refer to disgruntled staff who are poorly managed and organized into factions that are out for their own discrete success.
What can playoff beards, infographics, and emojis teach us about Big Data's role in the biopharmaceutical industry? This article shares some amusing examples to explain what Big Data and small data are, build your fluency with the benefits and risks of each, and provide recommendations to improve our data-rich future.
In the time it takes you to read this article, the industry will generate (conservatively) about 115 new process deviations, and about 65 of them will be misclassified as having something related to “human error” as either the principal causal factor or one of the proximal causal factors.
The word “quality” is bandied about with reckless abandon across the healthcare, clinical practice, pharmaceutical, and biotech industries. Everyone thinks they understand quality at a deep level, just like everyone thinks they are “better than average” drivers.