Labos, Shacham Street 32, Petah Tikva (2026)

12/01/2026

What labs now realize, especially those still using legacy LIS platforms, is that when connectivity fails, the true culprit is the outdated architecture.

Several major outages in 2024 have exposed the hidden fragility of interoperability built on single-point connections.

And the disruption wasn’t in the LIS - it was in the connectivity.

Get the full breakdown here:
https://eu1.hubs.ly/H0qGQ460

Because interoperability, in every context you choose, is more than pipes and messages. It’s stability, reliability, and flexibility.

If you want to learn more about how your lab can enjoy better Interoperability, get in touch - see the link in the comments 👇

09/01/2026

If your current LIS or LIMS feels like it belongs in a museum, or you need an IT degree just to run a sample, this list is for you. To make sure you dive well prepared into the wonderful world of upgrading your laboratory information system, we ranked the top LIS/LIMS platforms in 2026 by asking one critical question: Will it make your lab run like a well-oiled machine... or a squeaky hamster wheel?

Check out the full list here: https://eu1.hubs.ly/H0qGPsS0

07/01/2026

Dark Daily reports that Ontario labs are sounding the alarm: staffing shortages are choking the very pipeline that trains future technologists.

What does that mean?

There simply aren’t enough trained people to keep up. Student pipelines are clogged, labs are understaffed, and the system is asking exhausted professionals to train the next generation on top of their existing responsibilities. 68% of labs are short on talent, and clinical placements are currently stuck behind waitlists.

When routine work eats up hours, there’s no space left for teaching, mentoring, or even thinking clearly. However, automation changes that equation - because if the workflows run themselves, the dashboards surface problems before they explode, and each lab can shape the system around how it actually works.
Which is exactly why asking for more funds won't solve the problem (read the article in the comments to learn why we’re saying that).

The answer isn't more personnel. The world has changed. It’s what you do with the staff, and how you empower them to do the best they can, with the best tools you provide them.

Now imagine a world where every lab leverages live operational insights to streamline labwork and training and reduce burnout.

Got the picture in your head? Great. Now imagine our logo and this link:
https://eu1.hubs.ly/H0qLl4r0

05/01/2026

Did you know your lab might be part of the industry’s the $9.8 million data problem?
Oh, wait? You didn’t…? Well, good thing we’ve got you covered:

https://eu1.hubs.ly/H0qGQKN0

Because once you account for the compounding effects, the cruel math is simple: inefficient data handling in medical labs multiplies its costs across every operational area, until the losses become catastrophic - around 9/9 million per year.

Sucks, right? Want your lab to be part of the solution? Check out the link and read the full breakdown 👆

31/12/2025

Here's to a 2026 filled with smarter labs, better diagnostics, customized automations, and off-the-charts patient care. Thank you for being part of our community. We can't wait to see what we'll accomplish together this year.

Here's to a 2026 filled with smarter labs, better diagnostics, customized automations, and off-the-charts patient care.

Thank you for being part of our community. We can't wait to see what we'll accomplish together this year.
🎉

30/12/2025

Less noise. Fewer emails. Between Christmas and New Year’s, most labs are running, but with fewer meetings and a little more breathing room. Which leaves time to stop and ponder, and even reflect.

And this is when the real questions surface:
- Which “temporary” workaround became permanent?
- What data did we not trust enough to act on?
- What actually worked, and what didn’t?

So basically… “Is our lab smart?”

Because for labs, progress flows from quietly fixing the systems that slow people down every single day. And if 2025 has taught us anything (other than that AI is going to destroy us all 🙂), it’s that better diagnostics start with better operations - and that starts with making sure your lab is a smart lab.

So how would you achieve that in 2026? Well - check out the link in the comments to get your answers - and have a great 2026!

23/12/2025

Getting your lab ready for 2026? Curious about what changed in 2025?
Great - then, you gotta check out our E.O.Y Report:

https://eu1.hubs.ly/H0qr9WD0

We’ve put together the most concise and practical report for lab leaders who want to enter 2026 with cleaner data, smoother workflows, and a clearer LIS strategy.

Some Key Insights? Why not:

● An E.O.Y checklist tailored to laboratories using (or considering) a modern LIS
● Tips to close 2025 with fewer bottlenecks and fewer manual tasks
● Practical “hacks” to get more value from your Laboratory Information System in 2026

If you’re planning budgets, upgrades, or process changes for the coming year, this will help you focus on what actually moves the needle in your lab operations.

22/12/2025

Remember this cyber attack? 190 million patient records.

Yeah, one hundred and ninety million patient records. You read it right. But the real question here is, when was the last time your LIS was patched?

You see, three decades in lab systems taught us that cyber risk doesn't come from sophisticated attacks. It comes from the infrastructure that labs pretend to manage.

Because legacy on-prem and semi-hosted systems mean:

• Patching happens "when IT gets to it."
• Hardware ages until budget allows replacement (and it’s often too late)
• Backup testing is theoretical

However, true SaaS LIS on AWS removes the failure points:

• Automatic patching at scale
• Multi-region redundancy that actually works
• Disaster recovery you can test without downtime

And we’re not talking cloud hype here - that’s so 2013. No, we’re talking about acknowledging that breaches are inevitable, and your architecture determines if you survive one.

Platforms like ours aren't "more secure" because of marketing (sad to say, as we’d sure love it if that was the case) - no, a next-gen LIS is built assuming traditional perimeter defense already failed. Cybersecurity in labs is an architecture decision - not a compliance checkbox.

And now, be honest - when did you last test a full disaster recovery?

18/12/2025

As the year winds down, we took a moment to run our own diagnostic. The results?
Strong - and it’s thanks to our amazing clients and partners.

Whether you rely on LabOS to streamline operations, automate workflows, or support clinicians with LabMD, you’re trusting us with the backbone of your lab.

That trust is something we never take lightly.

For over 30 years, our commitment has remained the same: to build an LIS that enables laboratories to focus on what truly matters - accurate results, efficient processes, and maximal patient care.

As we head into the holidays, we’re grateful for the partnerships we’ve built and the work we continue to do together.

Here’s to a restful season and to a healthy, efficient 2026.

15/12/2025

Think you’re ready for the next global pandemic?
Are you sure about that?

Modern labs need more than microscopes - they need a powerful Laboratory Information System that detects, tracks, and responds. A good LIS will provide real-time specimen tracking, instant result reporting, and clean data flows into public health networks.

And the truth is, that most of them don’t.
Sorry.

Want to see how it works in real-world scenarios - and get some best practices on how to make sure your LIS is pandemic-ready? Dive into our new article: https://eu1.hubs.ly/H0qlbP10

10/12/2025

Yeah, we know: the upfront cost is real.
So is the organizational shift.

But in 2026, will your lab still be operating like it’s the late 90s? Why not use 2026 to obtain faster workflows, cleaner data, stronger quality control, and an ROI that keeps paying back?

So, if your lab wants to stay competitive, efficient, and future-ready, a tailored LIS isn’t optional anymore; it’s the foundation of the necessary change. And guess what? We put together a concise playbook that walks you through the essentials and helps you prepare for what’s coming next - get it in the first comment, if you don’t want to be left behind.

08/12/2025

AI is exploding in the lab world - as it should.
But so are AI hallucinations… And that, friends, is a major risk.

And when an algorithm confidently generates the wrong result? That’s not a glitch. It’s a risk.

Medical labs are uniquely exposed: fragmented data, legacy systems, and complex workflows create the perfect conditions for AI to fill in the blanks with information that can sometimes be… well… simply false.

The stakes? My, oh my.

Check out our full breakdown in the 1st comment, and let us know if you’ve encountered any weird (or even hilarious) AI hallucinations…

Labos

12/01/2026

09/01/2026

07/01/2026

05/01/2026

31/12/2025

30/12/2025

23/12/2025

22/12/2025

18/12/2025

15/12/2025

10/12/2025

08/12/2025

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