The Tuva Project Newsletter -- Feb 20 2026

This week we unpacked the NYU ED Classification Algorithm. This algorithm is one of the most frequently cited algorithms for classifying ED visits that could have possibly been treated in a lower acuity care setting. You can find the code for this video here.

At Tuva one of our main goals is making it easier to learn healthcare data and analytics. Check out our full library of videos at www.youtube.com/@thetuvaproject

It turns out that if you’re a Medicare ACO or a health tech company supporting ACOs, computing accurate member assignment is hugely complex. CCLF files are inaccurate. ALR files are a mess to deal with.

Not anymore. This week, thanks to a ton of work from Mike Krahulec, we released a new connector that transforms Medicare ALR files into accurate enrollment data.

And along with all the other tools in the Tuva Project, this connector is completely open-source.

You can read the full blog that Mike wrote here and access the code here.

At Tuva part of our mission is making it easier to do analytics by open-sourcing the tools needed for transforming healthcare data. You can find all our tools at: https://github.com/tuva-health

Here are some exciting new healthcare data & analytics jobs from the past week. As always, you can find these postings and more in the Tuva Slack #jobs channel.

• Astrodata is hiring a Senior Business Intelligence Consultant

• Relevant Healthcare is hiring a Senior Health Center Analytics Consultant

• GenHealth.ai is hiring for multiple engineering roles

Thanks for reading and if you’d like to receive more content like this every week subscribe below. To learn more about the Tuva Project visit www.thetuvaproject.com.