Labos

Picture this - healthcare AI makes a mistake. It harms a patient. Who’s going to pay for it?

Now consider this - most organizations deploying AI tools in healthcare right now can't answer that cleanly.

Can’t? Won’t? That’s a question, and that’s also the reason why the article in the comments is worth your time. Among other claims, it raises the question about AI, which is already running deep inside clinical work. AI schedules, dispenses, performs diagnostics - but the rules meant to govern it are still being written.

However, the point that stuck with us, as LIS vendors, was that the real test of a healthcare AI tool shows up in the contract, long after the demo is over. Indemnification, audit rights, and a clear answer to accountability when a model makes a call that affects a patient. Those clauses say more than any feature list. And most LIS vendors can’t give proper answers.

Honestly?

If we were running a lab, our first question to any LIS vendor would be, “Are you training your models on my patients' data, and what happens to that data?”

Any lab that treats this as a board-level risk today will be glad they did. The ones treating it as paperwork won't. Trust us, we’re an LIS vendor, and we use AI wisely.

Anyway, check out the article in the comments, and if you have any questions, we’re here. Worth a read.

Today is World Blood Donor Day. A single donation can save 3 lives - but only if the logistics machine behind it works flawlessly.

Behind every blood draw is a high-stakes race against time: complex screening, temperature tracking, and rapid cross-matching. When supplies are low, any friction in the lab workflow is way more dramatic than an operational headache. It's a direct threat to patient care.

A modern blood supply chain simply can’t rely on rigid, legacy software. If your system can't track components seamlessly and automate safety logic on the fly, the entire lifeline is bottlenecked. What can you do about it for your lab? Check out the link in the comments. That’s a good place to start.

Thank you to everyone who donates. And to the lab professionals managing the supply chain under pressure - we see and salute you.