For decades, the world of clinical diagnostics has been operating under an old-fashioned myth: that diagnostic errors or delays are purely “clinical” in nature. However,
The conversation around medical lab efficiency usually starts with the hardware on the laboratory floor. However, even a multi-million-dollar investment in best-in-show analyzers is limited
We are rapidly approaching the end of the decade, and it seems that healthcare budgets are flat, reimbursement rates keep dropping, and staffing shortages are
AI? Again…?! Yeah, we know – the buzz around Artificial Intelligence (AI) is just about deafening. In the medical laboratory and the healthcare ecosystems, particularly.
AI has officially entered the lab, and not just for creating funny pictures and videos – but as a useful tool. With every new day,
“The medical lab ecosystem is going through a seismic shift”. How many times have you heard this statement? Just look at your daily operations, especially
You know that morning rush that happens in every medical lab? Samples flood in, analyzers fire up, and your LIS (Lab Information System) either handles
For decades, laboratories measured their success and progress by “how many boxes of paper can we eliminate…?” However, that definition is too narrow for today’s
From personalized medicine to infectious disease surveillance, the clinical laboratory has remained as crucial as it ever was to healthcare delivery. Labs generate data that
Medical labs are under pressure from every direction. True, this is a very dramatic statement to kick off this article, but it’s nonetheless accurate: tighter