
Trilliant Health Tech Blog
An Inside Look at How We Tackle Technical Problems
In each of our development cycles, our Product Development team pushes hundreds of commits—tackling data challenges, developing machine-learning infrastructure, building end-user applications and creating open-source tools. Here's a behind-the-scenes look at how we do it.

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What is a Visit? Why We Don't Use Raw Claims Data
We call this "event-level" view a Visit: a patient saw a provider at a specific place, for a period of time, for one or more procedures. That is is what you, the person using the data, actually cares about.

Charting a Course: Aligning Engineering Teams on Foundational Values
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What is a Visit? Why We Don't Use Raw Claims Data
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The Unexpected Impacts of Pure Functions
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How To Build a Demand Forecast
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Sorry, I Can't Read Your Visualization
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On Demand Deployment: Does Your CI/CD Stop Bugs or Block Development?
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mops: Data Systems from Pure Python Functions
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The Mighty Rebrand: Data Vis Edition
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What's in a Claim? (Part 2): Gaps, Anomalies and Analytical Challenges
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