Reducing Errors, Raising Quality
Reducing Errors, Raising Quality
Reducing laboratory errors and improving quality requires a comprehensive approach that spans safety, workflow optimization, and technology. This e-book explores strategies to build a high-reliability laboratory culture, prioritize testing based on improved workflows, and leverage informatics and artificial intelligence to strengthen quality management. It also examines how standardized urinalysis practices and automation can reduce preanalytical errors, improve efficiency, and support more reliable results. Discover practical insights to help your laboratory enhance performance, protect patients and staff, and deliver timely, accurate results that inform clinical decisions.
Some articles featured in the e-book, “Reducing Errors, Raising Quality,” include the following:
High reliability safety in the laboratory
High reliability organizations are those that “operate under very trying conditions all the time and yet manage to have fewer than their fair share of accidents.” The concept was born out of research in fields like aviation, nuclear power, and the military — industries where failure is not an option. In the laboratory, the parallels are clear: where lab professionals must proactively manage risk, anticipate failure, and create systems that are resilient to human error.
Are you doing diagnostics—or logistics?
Every step of the testing process is under tremendous pressure in the fast-paced setting of a diagnostic laboratory due to the sheer volume of samples, growing test complexity, and growing resource limitations. The journey to an accurate diagnosis frequently falters long before the sample ever reaches an analyzer. With advanced automation and integrated informatics, Advantaged Workflows are rewriting the rulebook for diagnostic labs.
From informatics to AI: Building intelligent laboratory quality systems
Clinical laboratory quality has always been about discipline: controlling processes, documenting performance, and improving continuously. What changes in the AI era is the laboratory’s ability to sense its own operation in real time, detect risk earlier, and optimize faster. The laboratory of the future is not simply automated—it is intelligent and quality management becomes what it has always aspired to be: proactive, adaptive, continuous, and built into the workflow by design.